2014 Annual Convention Proceedings - CIE-USA/GNYC · Plenary Session Speaker: Distinguished Achievement Award Dr. Xiaowei Zhuang (莊小威) Dr. Xiaowei Zhuang is a professor of chemistry

美洲中國工程師學會大紐約分會美洲中國工程師學會大紐約分會美洲中國工程師學會大紐約分會美洲中國工程師學會大紐約分會

Chinese Institute of Engineers – USA

Greater New York Chapter

(CIE-USA/GNYC)

http://www.cieusa-gnyc.org

Saturday, December 06, 2014

2014 Annual Convention

Proceedings

Sheraton LaGuardia East Hotel Flushing, New York

1

CIE-USA/GNYC 2013 Annual Convention Program

Sheraton LaGuardia East Hotel, Flushing, NY 11354

Theme: Expand Emerging Technology Frontiers

through Research and Innovation

以研究創新擴展科技領域以研究創新擴展科技領域以研究創新擴展科技領域以研究創新擴展科技領域


12:00 PM Registration

1:00 PM - 2:30 PM

Phoenix Ballroom

Opening Remarks

Dr. Tien-Jen Cheng (鄭天人) - Convention Chair

IBM Microelectronics

State of the Institute

Dr. Yew-Huey Liu (劉玉慧)- President, CIE-USA/GNYC

IBM Research

Plenary Session

Chair – Dr. Ming-Yee Lai (賴明毅) Co-Founder, ConnectiLife

Dr. Xiang Zhang (張翔) Ernest S. Kuh Endowed Chaired Professor Director, NSF Nano-scale Science and Engineering Center

University of California, Berkeley

“ Creating Materials Properties that Do Not Exist in Nature”

Dr. Xiaowei Zhuang (莊小威) Howard Hughes Medical Institute Investigator, Professor of Chemistry and

Chemical Biology, Professor of Physics , Harvard University

“ Illuminating Biology at the Nanoscale with Super-resolution Fluorescence Microscopy”

2:30 PM Tea & Coffee Break

2:40 PM - 4:00 PM

Parallel Session

Session I – Innovative Technology in Energy, Civil, and

Environmental Engineering

(Ballroom West)

Chair – Dr. Weihua Jin (金偉華) - Industry Professor of Civil Engineering, New York

University

Dr. Robert Wang (王曉東) - Senior Consultant, J. P. Morgan Chase

“Infrastructure Investment Bank in Asia”

Chinese Institute of Engineers – Greater New York Chapter (http://www.cieusa-gnyc.org)

2

Dr. Hanwei Zhang (張漢威) - Director, Covenant Energy

“WTE (Waste-to-Energy) Technology and China Perspectives”

Dr. Zhigang Shen (申志剛) - Associate Professor of Architectural Engineering and

Construction, University of Nebraska at Lincoln

“Impact of BIM (Building Information Modeling) on Construction Industry”

Mr. Michael Lew (劉兆亮) - President, Clearer Horizons LLC

“ Electric Vehicles - Getting Ready for Primetime” Session II – Wireless and Optical Communication: Research and

Innovation

(Boardroom East)

Chair – Dr. Yu-Dong Yao (姚育東) - Professor of Electrical Engineering, Stevens

Institute of Technology

Dr. Rensheng Wang (王仁生) - Researcher, AT&T Research Labs

“Statistical Ensemble Learning for Mobility Data Analysis”

Dr. Yingying Chen (陳迎迎) - Professor, Stevens Institute of Technology

“ Detecting Driver Phone Use To Reduce Driver Distraction” Dr. Naresh Chand - Director, Huawei USA R&D Center

“ Flexible Passive Optical Networks”

Dr. Xin Jiang(姜新) - Professor in Computer Science, City University of New York

“Optical System Performance Evaluation Using Analytical Gaussian Noise Model ”

Session III Panel Discussion - Developing Leadership and

Technical Skills in Science & Engineering Education

(Phoenix Ballroom)

Chair – Ms. Joyce Moy (梅鄧妙蘭) - Executive Director, the CUNY Asian

American/Asian Research Institute

Ms. Sau Ling (Charlene) Chan - Teacher, Manhattan Center for Science and Mathematics

High School

Mr. Chin-Sung Lin - Engineer and Teacher, Eleanor Roosevelt High School

Dr. MacRae Maxfield - Teacher and Research Director, Brooklyn Tech


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Dr. Hao Tang - Professor of Computer Science, BMCC

Mr. Jeremy Wang - College adviser, Stuyvesant High school

Dr. Jizhong Xiao - Professor of Robotics, CCNY

Ms. Jie Zhang - Principal, Stuyvesant High school

4:00 PM Tea & Coffee Break

4:10 PM - 5:30 PM Parallel Sessions

Session IV – Translational Biomedical Research

(Boardroom East)

Chair – Dr. Sihong Wang (王思红) - Professor, Biomedical engineering CCNY

Dr. James Hsieh (謝政道) - Oncologist and Member/professor Human Oncology and

Pathogenesis Program, Memorial Sloan Kettering Cancer Center

“Translational Kidney Cancer Research for a Cure” Dr. Robert Alfano (and Dr. Lingyan Shi) -CUNY Distinguished Professor, Department of Physics, The City College of New York, CUNY “ Selected Advances in Biomedical Optics and Photonics”

Mr. Alvin Lu, Professor Hao Wu’s group - Harvard Medical School and Children's

hospital “ Structural and Mechanistic Studies of Signalosomes”

Dr. Sihong Wang (王思红) - Professor, Biomedical engineering CCNY

“Thermal Regulation of Bone Marrow Stem Cell Differentiation”

Session V – Cognitive Computing and Newly Emergent

Technology

(Boardroom West)

Chair - Dr. I-Hsin Chung (鍾一新) - Research Staff Member, IBM Watson

Research Center Mr. Florian Pinel - Senior Software Engineer, Watson Group, IBM

“Chef Watson and Cognitive Cooking”

Dr. Ching-Huei Tsou (鄒慶暉) - Research Scientist, IBM Watson Group

“ Automated Problem List Generation from Electronic Medical Records in IBM Watson”


4

Dr. Neng-Fa Zhou (周能法)- Professor, CUNY

“The Picat Language and System” Session VI – Student Poster Presentation and Robotics Demo

(Boardroom Hallway 4:10 PM – 6:00 PM)

Co-Chairs: Dr. Kun-Lung Wu (吴坤龍) - Manager, IBM Research

Dr. Ming-Yee Lai (賴明毅) - Co-Founder, ConnectiLife

Robotics Demo：Phoenix Terrace

Livingston Lancers, Livingston High School

5:30 PM Social 6:00 PM - 9:00 PM

Phoenix Ballroom

Banquet

MC – Mr. Chiao-Wei Lee (李僑韋)

Welcome Address – Dr. Yew-Huey Liu (劉玉慧) - President, CIE-

USA/GNYC

Keynote Speech

Dr. Wen-Hann Wang (王文漢) - Vice President, Intel Corporation

“Inventing a Smarter Future”

Awards Ceremony

Chair – Dr. Jun-Min Liu (劉主民) Award Committee Chair, CIE-USA/GNYC

Distinguished Service Award

Dr. Wen-Hann Wang (王文漢) Vice President, Intel Corporation

Distinguished Achievement Award

Professor Xiang Zhang (張翔) Ernest S. Kuh Chaired Professor, University of California, Berkeley

Professor Xiaowei Zhuang (莊小威)

Professor of Chemistry and Chemical

Institute Service Award

Dr. Howard Chen (陳浩) CIE-USA/GNYC President (2013)


5

High School Student Scholarship Session

Chair – Dr. Howard Chen (陳浩) CIE-USA/GNYC HS Scholarship Committee Chair

9:00 PM - 10:00 PM

Phoenix Ballroom

Entertainment

Chair – Mr. Fred Yan (顏為民)

Performance by scholarship recipients (performed during Dinner banquet)

Piano - Mr. David Chang (張文輝)

Gu-Zheng - Ms. Shih-Hua Yeh (葉時華)

Soprano - Ms. Chen Min (陳旻)

ACKNOWLEDGEMENT: CIE-USA/GNYC Thanks All Committee Members for

Their Dedication and Hard Work That Make This Convention Possible.


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Chinese Institute of Engineers, USA/GNYC


Sheraton Hotel, Flushing, New York


Plenary Session (1:00pm-2:30pm – Phoenix Boardroom)

Session Chair

Dr. Ming-Yee Lai (賴明賴明賴明賴明毅毅毅毅) Program Chair

Session Speakers

Dr. Xiang Zhang ((((張張張張翔翔翔翔) University of California, Berkeley

Dr. Xiaowei Zhuang ((((莊莊莊莊小威小威小威小威)))) Harvard University


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Plenary Session

Session Chair:

Dr. Ming-Yee Lai (賴明毅賴明毅賴明毅賴明毅)

Co-Founder, ConnectiLife [email protected]

Biography:

Dr. Ming Lai is a Co-Founder of ConnectiLife, which develops and integrated systems and services based on smart connected devices for health care, with an initial focus on senior home care. He is also a board member of Chinese Institute of Engineers (CIE) GNYC.

Prior to ConnectiLife, Ming served as the head of Machine to Machine Communication (M2M) and Broadband Wireless Program, Applied Communication Sciences (ACS, formerly Telcordia Applied Research), responsible for developing new technologies and business with focus on M2M, broadband wireless services, and mobile data analytics.

Before ACS, Ming initiated, led, managed and/or directed a spectrum of projects, programs, and products, ranging from wireless network load balancing, priority services for next generation networks, automatic reconfiguration systems, location based service enabling platform, security domain monitoring, integrated technology solutions, customer care and billing, telecom order management, Y2K network migration, software architecture and robustness, relational database protocol verification system, machine learning for database integrity evolution, broadcast database system, multi-processor database machine, fault tolerant system, unified API for voice, data, video, and multimedia in telecom infrastructure at Telcordia, Bellcore, and Bell Labs.

Besides the extensive telecom and information system experience from Bell systems, Ming served as platoon leader in Signal Corps of Taiwan Army, microprocessor system designer at Qualitron, instructor of Taiwan’s first microprocessor course co-sponsored by Taiwan’s industrial bureau in Ministry of Economic Affairs in Taiwan, communication protocol researcher at Rand Corporation in CA, computing system capacity planning and performance analysis consultant at Anathon in MA, and computer aided learning system principle architect at Computek in NJ. Ming received his BSEE from National Taiwan University at Taipei, Taiwan and M.S. and Ph.D. in Computer Science/Applied Mathematics from Harvard University, at Cambridge, Massachusetts, U.S.A.


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Plenary Session Speaker:


Dr. Xiang Zhang (张翔张翔张翔张翔)

Dr. Xiang Zhang is the inaugural Ernest S. Kuh Endowed Chaired Professor at UC Berkeley and the Director of NSF Nano-scale Science and Engineering Center (NSEC). He is the Director of the Materials Sciences Division at Lawrence Berkeley National Laboratory (LBNL), as well as a member of the Kavli Energy Nano Science Institute.

Professor Zhang is an elected member of US National Academy of Engineering (NAE), Academia Sinica (National Academy in Republic of China), and Fellow of five scientific societies: APS (The American Physical Society), OSA (The Optical Society of America), AAAS (The American Association for the Advancement of Science), SPIE (The International Society of Optical Engineering), and ASME (The American Society of Mechanical Engineers).

Professor Zhang’s current research focuses on nano-scale science and technology, materials physics, photonics and bio-technologies. He has published over 240 journal papers, including over 50 publications in Science, Nature series, PNAS and Physical Review Letters. He has given over 280 Keynote, Plenary and Invited talks at international conferences and institutions. He served as a Co-Chair of NSF Nanoscale Science and Engineering Annual Grantee Conferences in 2004 and 2005, Chair of Technical Program of IEEE 2nd International Conference on Micro and Nano Engineered and Molecular Systems in 2007, and current Chair of Academic Advisory Board for Research Center for Applied Science (RCAS), Academia Sinica, Taiwan, ROC.

In 2008, Professor Zhang’s research was selected by Time Magazine as one of the “Top Ten Scientific Discoveries of the Year” and “50 Best Inventions of the Year”, Discover Magazine’s “Top 100 Science Stories” in 2007, and R&D Magazine’s top 25 Most Innovative Products of 2006. His research has frequently been featured by international media including BBC, CNN, ABC, New York Times, and Wall Street Journal. In 2014, he was awarded the Fitzroy Medal for pioneering contribution in metamaterials and superlens.

Plenary Session Speech Topic:

Topic: “Creating Materials Properties that Do Not Exist in Nature”


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Plenary Session Speaker:


Dr. Xiaowei Zhuang (莊小威莊小威莊小威莊小威)

Dr. Xiaowei Zhuang is a professor of chemistry and chemical Biology and a professor of physics at Harvard University, and an investigator of Howard Hughes Medical Institute. She is a biophysicist recognized for her work in the development and application of advanced optical imaging techniques for the studies of biological systems. In particular, she invented a super-resolution fluorescence imaging method, Stochastic Optical Reconstruction Microscopy (STORM), which breaks the diffraction limit. STORM has allowed fluorescence imaging with nanometer-scale resolution and enabled discoveries of novel sub-cellular structures. Her lab has also developed and applied single-molecule approaches to investigate the structure, dynamics and function of biomolecules, with emphasis on how proteins and nucleic acids interact and how protein-nucleic acid complexes function.

Dr. Zhuang received her B.S. degree in Physics from the University of Science and Technology of China, Ph.D. Degree in Physics from University of California at Berkeley, and postdoctoral training in biophysics at Stanford University. In 2001, she became an assistant professor at Harvard University, where she was promoted to associate professor in 2005 and full professor in 2006. She joined the Howard Hughes Medical Institute as an investigator in 2005. Zhuang received numerous awards, including the MacArthur Fellowship, Sloan Fellowship, Coblentz Award, American Chemical Society Pure Chemistry Award, American Physical Society Max Delbruck Prize in Biological Physics, and Raymond & Beverly Sackler International Prize in Biophysics, etc.

Dr. Zhuang is a member of the National Academy of Sciences, a member of the American Academy of Arts and Sciences, a fellow of American Association of the Advancement of Science, and a fellow of the American Physical Society.

Plenary Session Speech Topic:

Topic: “Illuminating Biology at the Nanoscale with Super-resolution

Fluorescence Microscopy”


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Convention Chair:

Dr. Tien-Jen Cheng (鄭天人鄭天人鄭天人鄭天人)

Development Engineer IBM Microelectronics Semiconductor Research and Development Center Hopewell Junction, New York 12533 [email protected]

Biography: Dr. Tien-Jen Cheng received his B.S. degree in Chemical Engineering from the National Taiwan University, and a Ph.D. degree in Chemical Engineering from the University of Rochester. Before joining IBM Microelectronics Division in Fishkill in 1996, he worked for Alcoa Electronic Packaging in San Diego for five years. Dr. Cheng has been working on the process development for semiconductor manufacturing, ranging from dielectric CVD deposition and copper plating processes for damascene and 3Di TSV (through silicon via) to wafer finishing and C4 chip joint. Dr. Cheng has published 26 US Patents and regularly contributed to International Conferences. He has received several IBM awards, including the Outstanding Technical Award. He is currently a Development Team Lead at the IBM Semiconductor Research and Development Center in Fishkill, New York, collaborating with research and development teams from internal and Partners’ teams in Yorktown and Albany Nanotech Center on the development of advanced CMOS technologies. Dr. Cheng has been heavily involved in community activities. He was a volunteer, calligraphy teacher, counselor, board member, Principal and Chairman of the Board at the Northern Westchester Chinese School (NWCS). Dr. Cheng served as the Director and Treasurer for the Association of Chinese Schools (ACS) and was later elected the President of the ACS in 2009. He organized many events to promote education, culture learning and teacher’s training. He was also a Board member for the National Council of Associations of Chinese Language Schools (NCACLS) in 2009. In 2012, Dr. Cheng was elected a Board of Director for the CIE-USA GNYC, and an Officer for the CIE-USA National Council. He has taken the responsibility as the Secretary, Treasurer for the CIE-GNYC. Presently Dr. Cheng is the Vice President of CIE-USA GNYC and a proud volunteer and occasional substitute teacher at the NWCS and ACS Regional events.


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Program Chair:

Dr. Yuying Gosser Research Assistant Professor Director of Student Research and Scholarship The Grove School of Engineering, The City College of New York, CUNY 160 Convent Avenue, Steinman Hall, Rm 2M1 [email protected]

Biography:

Professor Yuying Gosser earned her Doctorate in Physical Chemistry from Brown University, Providence, RI. She studied Nuclear Magnetic Resonance (NMR) Spectroscopy and did research on multi-dimensional hetero-nuclear NMR for protein structure determination in Yale University and Rockefeller University and appointed as an associate research scientist in Memorial Sloan-Kettering Cancer Center.

She joined the City College of New York in 2002 and established the HHMI sponsored Gateway Laboratory for undergraduate research training in Structural Biology, and as a member of HHMI supported national Genomics Education Partnership (www.GEP.wustl.edu), she developed the computer-lab based research-oriented course of Genomics and Bioinformatics. Since 2008 she has been the Director of Student Research and Scholarship at the Grove School of Engineering and the Executive Editor of the Journal of Student Research (www.ccnyosrs.org).


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Sheraton Hotel, Flushing, New York


Session I

Innovative Technology in Environmental & Civil Engineering (2:40pm-4:00pm – Boardroom West)

Session Chair

Professor Weihua Jin ((((金偉華金偉華金偉華金偉華)))) New York University

Session Speakers

Dr. Robert Wang (王曉東王曉東王曉東王曉東) J. P. Morgan Chase

Dr. Hanwei Zhang ((((張漢威張漢威張漢威張漢威)))) Covenant Energy

Dr. Zhigang Shen (申志剛申志剛申志剛申志剛)))) University of Nebraska at Lincoln

Mr. Michael Lew ((((劉兆亮劉兆亮劉兆亮劉兆亮)))) Clearer Horizons LLC


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Session I: Innovative Technology in Energy, Civil &

Environmental Engineering

Session Chair

Dr. Weihua Jin (金偉華金偉華金偉華金偉華)

Industry Professor of Civil Engineering New York University Polytechnic School of Engineering 6 MetroTech Center Brooklyn, NY10201 wjin@nyu

Biography:

Dr. Weihua Jin is currently an Industry Professor of Civil Engineering at New York University. He received his B.S. (1985) and M.S. (1988) degrees in Materials Science and Engineering from Tongji University, China, and his Ph.D. degree (1998) in Civil Engineering from Columbia University. Dr. Jin’s main focus is in sustainable civil engineering materials and he has over 25 years of combined experience in both industry and academia. He has worked on a number of high-profile projects including the construction of the first skyscraper the first two cable-stayed bridges in China and the design of new World Trade Center transit hub. Before joining NYU, he was Chief Scientist at IceStone and taught at City College of New York. He is mostly credited for his pioneering work on using recycled glass in concrete and the development of glass concrete technology. Dr. Jin’s research has been funded by NSF and other agencies. He has published over 20 technical papers with 3 patents awarded. Dr. Jin previously served as President for Chinese American Association for Engineering (CAAE) and President for Tongji University Alumni Association of America.


14

Infrastructure Investment Bank in Asia

Session Speaker:

Dr. Xiaodong Robert Wang (王晓東王晓東王晓東王晓東)

Senior Consultant J. P. Morgan Chase

Biography:

Dr. Xiaodong Wang obtained his B.S. in Energy Engineering from Shanghai Jiao Tong University, M.S. in Computational Fluid Dynamics from Mississippi State University, and Ph.D., M.Ph in Bio-Engineering from Columbia University. He has worked over 17 years on Wall Street to provide financial and consulting services for Lehman Brothers, HSBC, CitiGroup, Credit Suisse, Fannie Mae, AIG, Bank of America Merrill Lynch, J.P. Morgan Chase. He has been utilizing financial modeling, statistics analysis, and Monte-Carlo simulation to implement pricing and risk calculation for asset classes of Equity, Rates, Credit, Commodity, FX, Global Securitized Products and designed computing tools for ERM, back office, middle and front office applications and trading systems.

Abstract:

After 2008 financial crisis the world leaders are challenged to find all means to rebuild economy effectively and the current analytical research and financial analysis proposed global solutions to finance infrastructure in Asia and other emerging markets. Financial modeling, statistics analysis, and Monte-Carlo simulations are applied to measure the effectiveness of the theory, project cash flow, and maximize the return for investment. Both static and dynamic parameters, benchmark criteria, correlation factors, structure of the deal, risk analysis are analyzed and established. It is concluded that for large-scale infrastructure project, based on success and experience from the developed markets and ongoing projects in emerging markets, the rebuild of world economy demand the effective and innovative integration of government tools, private investment, and public resources that can propel development economically and socially.


15

Waste-To-Energy Technology Development and Application

Session Speaker:

Dr. Hanwei Zhang (張漢威張漢威張漢威張漢威)

Director, Research and Development Covanta Energy Corporation 445 South Street, Morristown, NJ 07960 [email protected]

Biography:

Dr. Hanwei Zhang earned his Doctorate in Engineering Science from Columbia University in New York City, NY. He studied Chemical Metallurgy and Chemical Engineering at Sichuan University in Chengdu, China. He is a member of the Global Waste-To-Energy Research Council.

Before he joined in Covanta Energy located in Morristown, NJ, he worked in the American Ref-fuel Company. Since 2009, he has been the Director of Research and Development for Covanta Energy. He is a Research Associate in Earth Engineering Center of Columbia University.

Abstract:

This presentation focuses on the “Waste-To-Energy Technology Development and Application” and discusses global Waste-To-Energy (WTE), its technology development and current applications.

The combustion technologies for municipal solid waste (MSW) with energy recovery have been developed over several decades and are now widely adopted in over 700 waste-to-energy plants worldwide. This presentation discusses the pros and cons of these technologies from a reaction engineering perspective. Besides mature combustion technologies, there is an interest in new technologies: MSW pyrolysis and gasification. The improved air control and reduced air requirement leads to a number of benefits including: reduced emissions; increased energy efficiency; lower particulate levels leading to reduced boiler fouling and corrosion; and smaller equipment enabling modular construction for reduced capital cost. There are currently many developments at pilot scale ongoing on the pyrolysis and gasification of MSW. Metal recovery/beneficial use of bottom ash and fly ash is another important R&D topic.

China generates a huge amount of MSW due to its population. It becomes a serious environmental challenge as well as a tremendous energy reservoir. Facing the shortage of land resources and high-speed urbanization in most cities of China, WTE has become the

current best choice handling MSW. Supported by the Central Government, China has been the WTE growth engine where more than 100 large scale WTE plants were constructed in

the last decade. Several Waste-To-Energy technologies applied in China are discussed. The fluid bed technology has been used in the metal extraction and coal combustion for over

fifty years but circulating fluid bed (CFB) combustion was applied to MSW processing for less than two decades, mostly in China where over fifty WTE plants have been built.


16

Building Information Modeling (BIM) – A Catalyst for Data

Sharing and Visualization

Session Speaker:

Dr. Zhigang Shen (申志剛申志剛申志剛申志剛)

Visiting Associate Professor, NYU-Poly 6 MetroTech Center, RH408, Brooklyn, NY10201 Associate Professor, University of Nebraska-Lincoln 113 NH, Lincoln, NE 68516 [email protected]

Biography:

Dr. Zhigang Shen is a visiting associate professor at Civil and Urban engineering at NYU-Poly. He has been an associate professor of Durham School of Architectural Engineering and Construction at University of Nebraska-Lincoln. He received his Ph.D. in construction management, and M.S. in computer engineering from University of Florida. He also received a master (Tongji U.) and bachelor (Zhengzhou U.) degrees in architecture. As an architect, he participated in designing some of the landmark buildings in Beijing, Shanghai and Hangzhou back to late 1990s. Dr. Shen’s current research interests are on 3-D visualization/informatics, and quantitative sustainable design and construction. He published more than forty peer-reviewed articles in journals and conference proceedings. As PIs or Co-PIs, he was awarded more than $4M federal research grants from agencies like NSF, DOE, EPA and DOL.

Abstract:

Over the past decade BIM has been moving, in an accelerated speed, toward creating a shared 3D/4D design, construction and operation/maintenance data platform for Architect, Engineer, Contractor and Facility Manager. This data and visualization platform is catalyzing and transforming many aspects of project delivery and business patterns in the building industry. This presentation is intended to provide a review of current BIM adoption status in building and infrastructure industry, impact of emerging computing technologies on its further development, and potential areas it may transform.


17

Electric Vehicles - Getting Ready for Primetime

Session Speaker:

Mr. Micheal Lew (劉兆亮劉兆亮劉兆亮劉兆亮)

President, Clearer Horizons LLC Head of Communications, National Alliance for Advanced Technology Batteries

Biography:

Michael is President and Co-founder of Clearer Horizons LLC, which is focused on helping organizations develop strategic relationships throughout Asia in the energy applications sector. Prior to Clearer Horizons, he was a Wall Street research analyst covering the energy efficiency sector. Companies that he covered included Tesla Motors, Johnson Controls, EnerSys, Polypore and Maxwell Technologies. Michael began his career as an engineer at IBM on the product development line working on large systems. His educational background includes an MBA in Finance & Accounting from New York University, a Masters Degree in Materials Science from Columbia University and a Bachelors Degree in Chemical Engineering from Carnegie-Mellon University.

Abstract:

Electric Vehicle (EV) adoption and demand continues to improve with each passing day. This is being driven by improvements in the supply chain -- most notably in battery technology. There are many questions that still surround this evolving transportation ecosystem. They include: Are EVs truly energy efficient and environmentally friendly? Are range anxiety issues warranted? Will the 'new' energy' vehicles ever be affordable? As an owner, I will share a 'real' perspective on what seem to be the most significant hurdles to mass market commercialization, as EVs get ready for 'primetime'.


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Sheraton LaGuardia East Hotel, Flushing, New York


Session II

Wireless and Optical Communication: Research and Innovation (2:40pm-4:00pm –Boardroom East)

Session Chair

Professor Yu-Dong Yao (姚育東姚育東姚育東姚育東) Stevens Institute of Technology

Session Speakers

Dr. Rensheng Wang ((((王仁生王仁生王仁生王仁生)))) AT&T Research Labs

Dr. Yingying Chen (陳迎迎陳迎迎陳迎迎陳迎迎) Stevens Institute of Technology

Dr. Naresh Chand Huawei USA R&D Center

Dr. Xin Jiang (姜姜姜姜新新新新) City University of New York


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Session II: Wireless and Optical Communication: Research and

Innovation

Session Chair:

Dr. Yu-Dong Yao (姚育東姚育東姚育東姚育東)

Professor and Department Director Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken, NJ 07030 [email protected]

Biography:

Yu-Dong Yao received the B.Eng. and M.Eng. degrees from Nanjing University of Posts and Telecommunications, Nanjing, China, in 1982 and 1985, respectively, and the Ph.D. degree from Southeast University, Nanjing, China, in 1988, all in electrical engineering. He has been with Stevens Institute of Technology, Hoboken, New Jersey, since 2000 and is currently a professor and department director of electrical and computer engineering. He is also a director of Stevens' Wireless Information Systems Engineering Laboratory (WISELAB). Previously, from 1989 to 1990, he was at Carleton University, Ottawa, Canada, as a Research Associate working on mobile radio communications. From 1990 to 1994, he was with Spar Aerospace Ltd., Montreal, Canada, where he was involved in research on satellite communications. From 1994 to 2000, he was with Qualcomm Inc., San Diego, CA, where he participated in research and development in wireless code-division multiple-access systems. He holds one Chinese patent and thirteen U.S. patents. His research interests include wireless communications, cognitive radio, electronic warfare and directed energy technology. Dr. Yao was an Associate Editor of IEEE Communications Letters (2000-2008) and IEEE Transactions on Vehicular Technology (2001-2006), and an Editor for IEEE Transactions on Wireless Communications (2001-2005). He was elected an IEEE Fellow in 2011 for his contributions to wireless communications systems. In 2013, he received the Advancement of Invention Award from New Jersey Inventors Hall of Fame.


20

Statistical Ensemble Learning for Mobility Data Analysis

Session Speaker:

Dr. Rensheng Wang (王仁生王仁生王仁生王仁生)

Researcher AT&T Research Labs. Middletown, NJ 07748 [email protected]

Biography: Dr. Rensheng Wang received his B.S. and M.S. degrees from Harbin Institute of Technology in China, and Ph.D. in the Electrical and computer engineering department from Stevens Institute of Technology in 2005, all in Electrical Engineering major. He is current a researcher at AT&T labs working in the general fields of data mining, predictive modeling for mobility big data sets. He has 40 peer-reviewed publications and received a data-mining award (AusDM) in 2009 analytic challenge competition.

Abstract:

As the mobile internet industry is booming, more and more interests have been shifted to the extraction of mobility data analysis for business opportunities. One focus is to exploit the mobility measurements to identify the potential groups of interest or predict the relevant user pattern. To address this issue, we propose to make use of the big data set for a statistical ensemble learning scheme, where different subsets of data can be combined with characteristic parameters estimations for an improved expert system. This study also can be extended to some other relevant scenarios for mobility data analysis.


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Detecting Driver Phone Use To Reduce Driver Distraction Session Speaker: Dr. Yingying Chen (陈迎迎陈迎迎陈迎迎陈迎迎））））

Associate Professor Department of Electrical and Computer Engineering Stevens Institute of Technology Castle Point on Hudson Hoboken, NJ 07030 [email protected]

Biography: Dr. Yingying Chen is an Associate Professor in the Department of Electrical and Computer

Engineering at Stevens Institute of Technology. Her research interests include cyber security

and privacy, mobile computing and pervasive computing, and smart healthcare. She received

her Ph.D. degree in Computer Science from Rutgers University. She has coauthored the book

Securing Emerging Wireless Systems and published over 90 journal articles and referred

conference papers. She leads the Data Analysis and Information Security (DAISY) Lab. She

is also the Graduate Program Director of Information and Data Engineering (IDE) and

Networked Information Systems (NIS). Prior to joining Stevens Institute of Technology, she

was with Alcatel-Lucent. She is the recipient of the NSF CAREER award on wireless

security and Google Faculty Research Award on mobile computing. Her research has been

reported in numerous media outlets including the Wall Street Journal, MIT Technology

Review, Fox News Channel, Inside Science TV, National Public Radio (NPR), Tonight

Show with Jay Leno and CNET.

Abstract: Distinguishing driver and passenger phone use is a building block for a variety of mobile

applications. And its greatest promise lies in helping reduce driver distraction. Cell phone

distractions have been a factor in high-profile accidents and are associated with a large

number of automobile accidents. Our work utilizes smartphone sensing of vehicle dynamics

to determine the driver phone use, which can facilitate many traffic safety applications. We

explore a low-infrastructure approach that senses acceleration due to vehicle dynamics to

decide on phone position. Our system uses embedded sensors in smartphones, i.e.,

accelerometer and gyroscope, to capture differences in centripetal acceleration due to vehicle

dynamics. These differences combined with angular speed can determine whether the phone

is on the left or right side of the vehicle. Our approach involves low infrastructure and is

flexible with different turn sizes and driving speeds. This work has received the Best Paper

Award at ACM MobiCom 2011.


22

Flexible Passive Optical Networks

Session Speaker:

Dr. Naresh Chand

IEEE Fellow Huawei US R&D Center 400 Crossing Blvd Bridgewater, NJ 08807 [email protected]

Biography: Dr. Naresh Chand is Director in Optical Access research Department, Futurewei

Technologies, Huawei US R&D Center in Bridgewater NJ where he is currently working on

DSP based FlexPON. Prior to this, he was an Engineering and Technology Fellow at BAE

Systems, Wayne, NJ where he managed advanced technology initiatives and photonics R&D

for (i) fiber and free-space optical communication systems for transporting data from sensors

to war fighters in air, space, ground and sea, (ii) microwave photonics and (iii) broadband

data networks on avionics and other military moving platforms. Prior to joining BAE

Systems in 2003, he was a Distinguished Member of technical Staff at Agere Systems where

he conducted research in optical communication systems. From 1986 through 2000, he

worked at AT&T/Lucent Bell Laboratories on optical access, communication lasers and

high-speed electronics technologies. During 1974-79, he worked for the Govt. of India

where he was involved in development of electronics industry in India. His education

includes (1) M.Sc. (Tech) in Microwave Engineering from Birla Institute of Technology and

Science, Pilani, India, (2) M.Eng. and Ph.D. in Electrical Engineering (1983) from the

University of Sheffield, UK as a British Commonwealth Scholar, and (3) two years of post-

doctoral research at the University of Illinois, Urbana, IL.

Abstract:

Emerging bandwidth (BW) hungry applications demand energy efficient, flexible and scalable broadband optical access networks that can support residences, businesses and mobile backhauling on a common platform. This will allow operators to optimize total cost of ownership, offer more value-added services and improve their return on investment (ROI). Most of the presently deployed FTTH Passive Optical Networks are based on either GPON or EPON using TDM and their deployments will continue to dominate. There are many yet to be deployed next generation systems based on XGPON, 10GEPON, WDMPON and TWDM PON. These TDM based PON systems are relatively simple to implement, but they lack flexibility and interoperability. Recently both copper and wireless broadband systems have adopted OFDM/FDM-based DSP links. They offer higher granularity, flexibility and dynamic rate adjustment through frequency multiplexing, spectrally efficient modulation, line codes, and channel impairment compensation. DSP addresses the limitations of TDM PON and is now considered a promising candidate for optical access networks also as evident by extensive research in this area. With DACs/ADCs costs falling, DSP based PON could find applications in realizing software defined flexible and spectrally efficient PON in near future. In this talk, state-of-the-art of these technologies will be presented.


23

Optical System Performance Evaluation Using Analytical

Gaussian Noise Model

Session Speaker: Dr. (Jessica) Xin Jiang (姜新姜新姜新姜新)

Associate Professor Dept. of Engineering Science and Physics College of Staten Island City University of New York, NY 10314 [email protected]

Biography: Dr. (Jessica) Xin Jiang is an associate professor of Engineering Science and Physics Department at the College of Staten Island (CSI), the City University of New York (CUNY). Dr. Jiang received her Ph.D. from Tshinghua University, Beijing, China. She continued her research works at the University of Southern California on high speed optical systems and networks, and later worked for the Photonic Research and Test Center of Corning Corporate as a senior research scientist, where her research concentrated on linear and nonlinear impairments in high data rate transmission. Prior to joining the CSI faculty, Dr. Jiang has held multiple engineering and management positions in several high-tech companies, such as Hitachi, Opvista, Corvis, and Tyco Electronics, involved in state-of-the-art telecommunication products developments, which covered areas of transoceanic systems, long-haul backbone systems, metro networks, and access networks. She has gained significant advanced and practical working experience in both academic and industrial fields. At CSI, Dr. Jiang continues her research on broadband communication technology and has built an advanced optical communication system lab to explore the methods and apparatus to enhance and optimize the high speed telecommunication and data communication systems and networks.

Abstract:

In recent years, an analytical Gaussian noise (GN) model has attracted significant interests on performance evaluation of a dispersion-uncompensated (UT) optical coherent communication system. The GN model treats the nonlinear signal distortion as an additive Gaussian noise and derives an approximation model to evaluate the impact of nonlinear propagation in optical fibers. It has potential to dramatically simplify the evaluation of a complex optical system with enough accurate estimation. While the GN model is characterized by its simplicity and good estimations for certain system scenarios, it has accurate issue with other system experiments. We have investigated the accuracy of using GN-model in performance evaluation of a distributed Raman amplification system. I will present the recent development of the GN-model validation with the experiments.


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Session III

Panel Discussion: Developing Leadership and Technical Skills in Science

& Engineering Education

(2:40pm-4:00pm – Phoenix Boardroom)

Session Chair / Moderator

Ms. Joyce Moy CUNY Asian American/Asian Research Institute

Panelists

Ms. Sau Ling (Charlene) Chan Manhattan Center for Science and Mathematics High School

Mr. Chin-Sung Lin Eleanor Roosevelt High School

Dr. MacRae Maxfield Brooklyn Tech Dr. Hao Tang BMCC

Mr. Jeremy Wang Stuyvesant High school

Dr. Jizhong Xiao City College of New York Ms. Jie Zhang Stuyvesant High school


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Session III Panel discussion: Developing Leadership and


Session Chair:

Joyce Moy (梅鄧妙蘭梅鄧妙蘭梅鄧妙蘭梅鄧妙蘭))))

Executive Director Asian American/Asian Research Institute City University of New York 25 West 43rd Street – Suite 1000 New York, NY 10036 Joyce. [email protected]

Biography:

Joyce Moy is currently the Executive Director of the Asian American and Asian Research Institute (AAARI), of the City University of New York (CUNY). Her field of expertise is economic development and entrepreneurship. She was the first Asian American director of a New York State Small Business Development Center (SBDC) funded by the US Small Business Administration and New York State, located at LaGuardia Community College/CUNY. Later, as Director of Economic Development at the College, she oversaw the SBDC, a Procurement Technical Assistance Center and a Center for Corporate Education. Joyce teaches at the City University and has developed entrepreneurship curriculum, conferences and experiential workshops for entrepreneurs. She has conducted numerous research projects on \entrepreneurship and immigrant communities, and has been instrumental in guiding Fortune 500 companies on the subject of market penetration through specific research projects and staff training on these markets, infrastructure needs, cultural insights and marketing materials, as well leadership development for Asian American employees. Joyce is a retired practicing attorney with extensive experience in business transactions. She has taught at Cornell University School of Law, and later at the City University of New York School of Law. She has served as a member of the New York Governor’s Taskforce on Small Business, co-chair of the NYC Comptroller’s Taskforce on Public Benefit Agreements, on the board of Asian Women in Business and was Vice-Chair of the Board of the North East Regional US Pan Asian American Chamber of Commerce, Advisory Board Member of the Queens Borough President’s General Assembly. She is the recipient of numerous awards including the NY Women’s Chamber of Commerce: “Woman of Excellence Award”, the “Export Appreciation Award” from the United States Commercial Service, Star Mentor of the Year, among others. She received her Baccalaureate from Stony Brook University, and Juris Doctorate from Hofstra University School of Law.


26

Questions to be discussed and view

A recent Harvard Business Review article, The Rankings: Top 100 Global CEOs indicated that among the top 100 best performing CEOs in the world, 24 had engineering degrees and 29 had MBAs. According to the same article, engineers make great CEOs: “What makes an engineering degree useful to people leading a business? “Studying engineering gives someone a practical, pragmatic orientation,” says Nitin Nohria, the dean of Harvard Business School, who holds an undergraduate degree in chemical engineering from the Indian Institute of Technology, Bombay. “Engineering is about what works, and it breeds in you an ethos of building things that work—whether it’s a machine or a structure or an organization. Engineering also teaches you to try to do things efficiently and eloquently, with reliable outcomes, and with a margin of safety. It makes you think about costs versus performance. These are principles that can be deeply important when you think about organizations.” However, in another HBR article, it was pointed out that soft skills, having to do with self-awareness, social skills, self-regulation, motivation and empathy may be more important than technical knowledge. In “What Makes a Leader,” Daniel Goleman, the author said, “I have found, however, that the most effective leaders are alike in one crucial way: They all have a high degree of what has come to be known as emotional intelligence. It’s not that IQ and technical skills are irrelevant. They do matter, but mainly as “threshold capabilities”; that is, they are the entry-level requirements for executive positions. But my research, along with other recent studies, clearly shows that emotional intelligence is the sine qua non of leadership. Without it, a person can have the best training in the world, an incisive, analytical mind, and an endless supply of smart ideas, but he still won’t make a great leader.” Asians who make up 5 to 6% of the national population are over-represented at about 15% in the top ivy league technical, and science colleges and universities in the country. Asians are over represented in the professions and technical professions. Asians have higher degrees of education than other demographic groups, but yet have lower per capita income than other groups with the same levels of education. Asians make up only 1.8 % of all Fortune 500 CEOs; and only 1.5 % of college or university presidents are Asian. In a 2013 National Association of Colleges and Employers survey, employers rated the following as the skills and qualities they want in job candidates: 1. Ability to verbally communicate with persons inside and outside the organization 2. Ability to work in a team structure 3. Ability to make decisions and solve problems 4. Ability to plan, organize and prioritize work 5. Ability to obtain and process information 6. Ability to analyze quantitative data 7. Technical knowledge related to the job 8. Proficiency with computer software programs 9. Ability to create and/or edit written reports 10. Ability to sell and influence others With this as a frame work for discussion:


27

1. How can we nurture and develop our young Chinese American students for leadership and success in their chosen field in STEM? 2. How do we make sure that our students develop the skills that will make them valued, appropriately compensated and recognized, and have their voices heard, as opposed to just being another techie who is there to play a supporting role, and never a leadership role? 3. In your capacities at the high school or college levels, as teachers, administrators, and role models, what can be done to develop not only the skills required in STEM, but the soft skills required for overall success after school? 4. What advice would you give parents whose children are just entering into the school system at the kindergarten level? 5. For those of you who work with high school students: If you have followed the careers of alumni, what combination of skills seems to have impacted their success after finishing their education? What kinds of activities did they participate in when in high school? Did those activities help to hone those skills? 6. If you had to do it all over again, what would you have done differently in terms of developing skills? 7. If you were permitted to only give one piece of advice on how to become successful in STEM and as a leader, what would it be?


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Panelist:

Ms. Sau Ling (Charlene) Chan

Advanced Science Research, Living Environment Manhattan Center for Science and Mathematics High School [email protected]

Biography:

Sau Ling (Charlene) Chan aspires not simply to create scientific minds but to stimulate critical thinking, pushing each student to pursue individual interests and seek out opportunities to learn. For students interested in neuroscience she recommends reading Brain Rules while she finds a neuroscientist mentor at CUNY. And so on for students interested in genetics, astronomy, and dozens of other fields. Her efforts leading students in scientific research projects have resulted in an international exchange program in which her students visit schools in Taiwan, Singapore, and Vietnam, present their research, and host international students back home. Schools in Mexico, China, and elsewhere are replicating Ms. Chan's scientific research course. In recognition of her special effort and creative teaching in STEM fields, Ms. Chan has won many awards and scholarships, including the prestigious Sloan Awards for Excellence in Teaching Science and Mathematics, 2013.


29

Which curriculum model is good for developing students’

technical and leadership skills? Panelist: Mr. Chin-Sung Lin

Eleanor Roosevelt High School, 411 East 76th Street, New York, NY 10021 [email protected]

Biography: Mr. Chin-Sung Lin earned his M.S.E.E. from Polytechnic University, NY in 1991. He was a senior hardware engineer focusing on digital video at Philips Research. In 2005, Mr. Lin entered the teaching career through the NYC Teaching Fellows program. He started teaching technology, physics, and various math classes at Information Technology High School. He earned his M.S.T. from Pace University in 2008. He is certified to teach math, physics and technology education. He is passionate to share the excitement of innovative problem solving in the STEM fields with students through project-based learning. Mr. Lin began teaching at Eleanor Roosevelt High School in 2010. He currently holds classes in Computational Thinking (10th), Physics/Lab (11th), Robotics and Engineering Design (11th & 12th), and Advanced STEM Research (12th).

Please list the questions to be discussed and your view.

1. What kind of paradigm shift is required before revisiting the technical-leadership problem?

• Perspective change: Engineers are leaders. Most of the medias, students, parents, administrators, or even teachers may not view engineers as leaders. Engineers can be and should be the best leaders in our society.

• Engineering training: Engineering problem solving skills are important leadership skills for all leaders, not just for engineers. As seeing huge amount of problems surrounding us today in all aspects of our society, we really need lots of leaders who know how to deal with them. In other words, some sort of engineering education should be available to all students.

• Engineers and society: Engineers are great to communicate with fellow engineers. However, engineers need to communicate and impact out community in a newer, more direct way.

2. Which curriculum model is good for developing students’ technical and leadership

skills?

To develop students’ technical and leadership skills, the curriculum may have to incorporate many of the following features:

• big pictures and real-world applications

• high-order cognitive capabilities

• innovation and creativity

• broad spectrum of technical exposure

• collaboration and project management

• communication and networking

• external resource

• entrepreneurship • community impact

For high schools, I believe that the project–based learning model will be the top choice. It provides a platform to integrate technical and leadership training, and the flexibilities to adapt to specific school context.


30

Which curriculum model is good for developing students’

technical and leadership skills?

Panelist:

Dr. MacRae Maxfield

Brooklyn Technical High School, 29 Fort Greene Place, Brooklyn, NY 11217 [email protected]

Biography:

Dr. Maxfield earned his PhD in organic chemistry at Johns Hopkins University in 1980. He currently teaches general and college-level chemistry at Brooklyn Technical High School. He also is the advisor to Brooklyn Tech’s Science Olympiad teams and is a mentor for Tech’s Weston Research Program.

Before teaching high school, he conducted research and development at the University of Pennsylvania, polymers, lithium-ion batteries, high TC superconductors, polymer nanocomposites, flat-panel displays, and optical communication devices.

Please list the questions to be discussed and your view. How can we coordinate natural science, engineering, and information technology courses

to better orient students to the leadership role that these fields must assume?

For several decades, policies of national governments regarding global crises such as climate change and sustainable development have been increasingly influenced by national and non-national entities capable to using science, engineering and information/communication technology to predict change formulate options and prescribe technical options for international benefit.


31



Panelist:

Ms. Jie Zhang

Stuyvesant High School 345 Chambers Street, New York, NY 10282 [email protected]

Biography:

Jie Zhang is the principal of Stuyvesant High School, one of the best high schools in New York City. Born and raised in China, Jie was one of six million students who took the national college entrance exam in 1978, and was accepted to Tongji University. After earning her bachelor’s degree in electrical engineering, she left her homeland to continue her education in New York. She received a master’s degree in applied mathematics and became a high school mathematics teacher in the New York City public school system. From 2001 to 2012, she worked as an administrator in several capacities.

In August 2012, Jie became the principal of Stuyvesant High School. Since then, she has been proudly leading the faculty and staff of Stuyvesant High School to serve over 3,000 top students in New York City.

Please list the questions to be discussed and your view.

I will join Mr. Lin in the discussion of his questions.


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Panelist:

Dr. Hao Tang

BMCC, CUNY 245 Greenwich Street, New York, NY 10007 [email protected]

Biography:

Dr. Tang earned his Ph.D. in Computer Science from the Graduate Center, City University of New York. He then joined BMCC as an Assistant Professor in the Department of Computer Information Systems in 2012. His research interests are in 3D computer vision, human-computer interaction and applications for assistive technologies.

Panelist:

Dr. Jizhong Xiao

Professor of Electrical Engineering The City College of New York

Biography:

Dr. Jizhong Xiao is a Professor of Electrical Engineering at CUNY City College (CCNY) and a doctoral faculty member of the Ph.D. program in Computer Science at CUNY Graduate Center. He received his Ph.D. degree from Michigan State University in 2002, M.E. degree from Nanyang Technological University, Singapore in 1999, M.S, and B.S. degrees from the East China Institute of Technology, Nanjing, China, in 1993 and 1990, respectively. He started the robotics research program at CCNY in 2002 as the founding director of CCNY Robotics Lab. His current research interests include robotics and control, cyber-physical systems, autonomous navigation and 3D simultaneous localization and mapping (SLAM), real-time and embedded computing, assistive technology, multi-agent systems and swarm robotics. He has published more than 120 research articles in peer reviewed journal and conferences. He received the U.S. National Science Foundation CAREER Award in 2007, the CCNY Outstanding Mentor Award in 2011, and the Humboldt Research Fellowship for Experienced Researchers from the Alexander von Humboldt Foundation, Germany, in 2013~2015. He is a senior member of IEEE.


33



Panelist:

Mr. Jeremy Wang (王稚王稚王稚王稚鹤鹤鹤鹤)

Stuyvesant High School 345 Chambers Street New York, NY 10282

Mr. Wang received his Bachelor of Arts degree in English Language and Literature from Zhongshan University, Guangzhou, People’s Republic of China. In 1991, he earned the Master of Science degree in Counselor Education/School Counseling, from Emporia State University, Kansas. Mr. Wang began working at Stuyvesant High School since 2006. In 2012, he assumed his current position, college counselor.


34





Session IV

Translational Biomedical Research (4:10pm-5:30pm –Boardroom East)

Session Chair

Chair – Dr. Sihong Wang (王思红王思红王思红王思红) City College of New York

Session Speakers

Dr. James Hsieh (謝謝謝謝政道政道政道政道) Memorial Sloan Kettering Cancer

Center Dr. Robert Alfano (and Dr. Lingyan Shi) CCNY, CUNY

Mr. Alvin Lu, Prof. Hao Wu’s group Harvard Medical School and

Children's hospital

Dr. Sihong Wang (王思红王思红王思红王思红) City College of New York


35

The Road to the Cure of Metastatic Kidney Cancer

Session Speaker:

James J. Hsieh, M.D., Ph.D. (謝謝謝謝政道政道政道政道)

Associate Member Human Oncology and Pathogenesis Program Associate Attending Division of GU Oncology, Department of Medicine Memorial Sloan Kettering Cancer Center 1275 York Avenue, NY, NY 10065 [email protected]

Biography: As a medical intern taking care of cancer patients in 1990, Dr. James Hsieh

witnessed the hopelessness that metastatic cancer patient faces and decided to devote his life to the fight against cancer. His Ph.D. thesis at Johns Hopkins Medical School focused on dissecting the mechanisms by which EBV EBNA2 hijacks Notch signaling for tumorigenesis. After graduation, Dr. Hsieh entered Washington University and Dana Farber Cancer Institute for Medicine and Oncology training, respectively. After completing medical oncology training, he joined the late Dr. Korsmeyer’s laboratory as an HHMI Physician-Scientist Fellowship Awardee, where he discovered the proteolytic processing of MLL, purified the culprit protease, and named it “Taspase1”. As an NCI K01 Howard Temin Awardee, Dr. Hsieh joined the faculty at Washington University in 2004. The discovery on MLL regulation by the Hsieh laboratory laid the foundation for the compassionate use of FDA approved proteasome inhibitor Bortezomib on a small cohort of MLL leukemia patients, showing clinical benefits. Dr. Hsieh was inducted into the American Society for Clinical Investigation in 2010. As a physician scientist taking care of metastatic kidney cancer patients, Dr. Hsieh joined Memorial Sloan Kettering Cancer Center to fully integrate his research and clinical interests in 2010, and founded the Translational Kidney Cancer Research Program (TKCRP) in 2011 to enable seamless collaboration among basic, preclinical, and clinical cancer research.

Abstract: The MSK TKCRP serves as a platform to integrate necessary disciplines inside

(Medicine, Surgery, Radiology, Epidemiology & Biostatistics, Computational Biology, Human Oncology & Pathogenesis Program, etc.) and collaborate with major kidney cancer research groups in the USA (TCGA, Harvard, MDACC, UPMC, Cleveland Clinic, UCLA, UNC, Mayo Clinic and NCI). They primarily utilize patient materials to directly decode the molecular basis underlying tumorigenesis, treatment response, tumor heterogeneity, and cancer metastasis, and thereby offer personalized treatment regimens. TKCRP employs state-of-art research platforms to interrogate kidney cancer genomics, transcriptomics, proteomics, and metabolomics. Through building the molecular blueprint of kidney cancer pathogenesis, Dr. Hsieh and his colleagues wish to develop novel mechanism-based therapeutics to better treat and eventually cure kidney cancer. During this presentation, Dr. Hsieh will update seminal progresses made by his group.


36

Selected Advances in Biomedical Optics and Photonics

Session Speakers:

Robert Alfano1 and Lingyan Shi1,2,3 1IUSL Physics, 2Biomedical Engineering, 3Biology Department at The City College of New York

Biographies:

Dr. Robert R. Alfano is a Distinguished Professor of Science and Engineering at the City College of the City University of New York (CCNY-CUNY), where he is also the founding director of the Institute for Ultrafast Spectroscopy and Lasers (IUSL) (1982). He discovered the supercontinuum ultrafast laser source, which has spread worldwide and has strongly influenced time-resolved spectroscopy, ultrashort light pulse generation, communications, compressed pulses, accurate clocks and metrology. His impacts on fundamental and applied laser science and biomedical optics spans many areas of pioneering research such as elucidating ultrafast dynamical processes of electronic and vibrational relaxation in matter, developing several ultrafast Cr4+ and Cr3+ tunable lasers in NIR from 1100 nm to 1600 nm and developing methods to detect cancer using optical spectroscopy and linear/nonlinear optical imaging. Dr. Lingyan Shi is a research associate at IUSL and Biology department at City College of New York (CCNY). She obtained a PhD degree from Biomedical Engineering department in CCNY. Her research focuses on using multiphoton deep tissue imaging with femtosecond laser pulses to understand the functional interactions between neural cells and the brain vasculature, blood-brain barrier permeability and its regulation for drug delivery. Other research interests include biomedical optics, ultrasound, condensed matter light interactions, and solar energy conversion.

Abstract:

The talk will focus on recent advances using the salient properties of light to develop new ways and devices to diagnosis cancer and imaging in the brain using one and two-photon excitation of cells and tissues. Several prototypes will be presented: Laser Tissue Welder, Optical Biopsy Analyzer, Prostate Optical Analyzer, Multi Photon Deep Brain Imager using S2, and Handheld Skin Scanner. One recent outcome of the research towards a commercial clinical device, which benefits the clinical world, is the “Vein Eye Device”. It enables the visualization of veins and blood flow.


37

Structural and Mechanistic Studies of the Inflammasome

Assembly

Session Speaker:

Mr. Alvin Lu, B.S.

Graduate Student in Professor Hao Wu’s lab Boston Children’s Hospital 3 Blackfan Street CLSB3024B, Boston, MA 02134 [email protected]

Biography:

Alvin earned his B.S. in Chemistry in the City College of New York where he was mentored by Dr. Yuying Gosser. During his undergraduate studies, he participated in a collaborative project with Professor Xiangpeng Kong from NYU School of Medicine to use X-ray crystallography to study the structure of an esterase enzyme. Alvin continued on to his graduate studies in the Tri-institutional PhD Program in Chemical Biology in the Weill Cornell Medical College, where he joined Professor Hao Wu’s lab and focused on using X-ray crystallography and electron microscopy to study the structure and assembly mechanism of inflammasomes. He was later transferred to the Harvard Chemical Biology PhD program along with Professor Wu, when she moved her lab to the Boston Children’s Hospital in 2012. Professor Wu’s lab has a tradition of studying elaborate signaling complexes, coined as signalosomes. Highlighted structures from her lab include the PIDDosome, the Myddosome, the RIP1/RIP3 Necrosome, and the recently published filamentous assembly of ASC-dependent inflammasome.

Professor Wu received her Ph.D. degree in Biochemistry from Purdue University working in the laboratory of Professor Michael Rossmann. After performing postdoctoral training at Columbia University in the laboratory of Professor Wayne Hendrickson, she became an Assistant Professor at Weill Cornell Medical College in 1997 and was promoted to Professor in 2003. In 2012, she moved to Harvard Medical School as the Springer Family Professor of pediatrics, Professor of Biological Chemistry and Molecular Pharmacology, and Senior Investigator in the Program in Cellular and Molecular Medicine of Boston Children’s Hospital.

Abstract:

This presentation focuses on the structure and assembly mechanism of the inflammasome assembly. Inflammasomes are supramolecular signaling complexes that activate a subset of caspases known as inflammatory caspases such as caspase-1. Upon stimulation by microbial and damage-associated signals, inflammasomes assemble to elicit the first line of host defense by proteolytic maturation of cytokines IL-1β and IL-18, and by induction of pyroptotic cell death. Assembly of an inflammasome requires activation of an upstream sensor, a downstream effector, and in most cases an adaptor molecule such as apoptosis-associate speck-like protein containing a caspase recruitment domain (ASC). Nucleated polymerization governs the ordered assembly process from activation of a PYD-containing sensor such as AIM2 by dsDNA or NLRP3 by extracellular particulates, to recruitment of the PYD and CARD-containing adaptor ASC, and finally to activation of CARD-containing caspase-1. The underlying filamentous architecture of inflammasomes and the cooperativity in the assembly may explain the “all-or-none” response in inflammasome activation. Inhibition of this polymerization process may lead to the development of therapeutic intervention of acute and chronic auto-inflammatory diseases.


38

Thermal Regulation of Bone Marrow Stem Cell Differentiation

Session Chair & Speaker:

Dr. Sihong Wang (王思红王思红王思红王思红)

Associate Professor of Biomedical Engineering City University of New York/City College 160 Convent Avenue, ST-434, New York, NY 10031 [email protected]

Biography:

Dr. Sihong Wang is an Associate Professor at the Biomedical Engineering (BME) Department at the City University of New York/City College (CCNY/CUNY). She obtained her PhD degree in BME from the University of Texas at Austin and her postdoctoral training at Harvard Medical School and Massachusetts General Hospital as well as Shriner's Hospital for Children at Boston. Her research focuses are microfluidic devices for high throughput or high content drug screening, thermal enhancement of stem cell proliferation and differentiation in regenerative medicine, and medical applications of nanodiamonds. She has been funded by New York State Health Department, National Institutes of Health, and National Science Foundation, from whom she received her NSF CAREER award. In 2014, she was awarded inaugural Pershing Square Sohn Prize for Young Investigators in Cancer Research.

Abstract:

Tissue engineering combined with stem cells, an emerging field of regenerative medicine, offers promises for the restoration of tissues and organs defects resulting from diseases, aging, and trauma. In order to improve the therapeutic usage of stem cells, it is important to investigate ways to enhance the qualitative and quantitative extent of stem cell proliferation and differentiation, and thus increase the chances for cells to grow into desired tissues. Intensive studies have been performed on influences of growth factors, cytokines, or mechanical loading on bone marrow stem cell (e.g. mesenchymal stem cell, MSC) differentiation into bone and cartilage tissues. However, osteoblasts (bone cells) and chondrocytes (cartilage cells) differentiated from MSCs are still not as functionally mature as primary adult cells. Temperature is an important physical factor only second to oxygen supply in its influence on growth processes in general. In this presentation, thermal induced enhancement of mesenchymal stem cell differentiation toward bone and cartilage lineages will be introduced. The perspective of thermal therapies in prevention and treatments of osteoarthritis will be discussed.


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Session V

Cognitive Computing and Newly Emergent Technology (4:10pm-5:30pm –Boardroom West)

Session Chair

Dr. I-Hsin Chung (鍾一新鍾一新鍾一新鍾一新) IBM Watson Research Center

Session Speakers

Mr. Florian Pinel IBM Watson Group

Dr. Ching-Huei Tsou ((((鄒慶暉鄒慶暉鄒慶暉鄒慶暉)))) IBM Watson Group

Dr. Neng-Fa Zhou ((((周能法周能法周能法周能法)))) City University of New York


40

Session V: Cognitive Computing and Newly Emergent Technology

Session Chair:

I-Hsin Chung, Ph.D. (鍾一新鍾一新鍾一新鍾一新)

Research Staff Member IBM T. J. Watson Research Center 1101 Kitchawan Road Yorktown Heights, NY 10598 [email protected]

Biography:

I-Hsin Chung is a research scientist at the IBM Research. His research area is in the system architecture area including high performance and data centric computing. His current research addresses big data problems from architecture and system software point of view. He received the PhD degree in computer science from the University of Maryland, College Park.


41

Chef Watson and Cognitive Cooking

Session Speaker: Florian Pinel IBM T. J. Watson Research Center [email protected]

Biography:

Florian Pinel is a Senior Software Engineer in the Watson Life department of the IBM Watson Group. He received a M.S. in Computer Science and Engineering from Ecole Centrale de Paris in France, and a Culinary Arts diploma from the Institute of Culinary Education in New York. Before joining the Watson Group, Florian worked at the IBM T.J. Watson Research Center for fifteen years, focusing on Business Process Management, IT Services Management, and Software as a Service. His current research interests are Computational Creativity and Cognitive Computing, and he is the lead architect of the Chef Watson project.

Abstract:

Discovering delightful new recipes or simply deciding what to make for dinner with the ingredients you have at home can often be challenge. Chef Watson is a cognitive cooking application that puts the power of Watson into the hands of the home chef. The system was trained on Bon Appétit’s 9,000 recipes and culinary knowledge and allows home cooks to create entirely new recipes based on novel combinations of flavors that have never been conceived before. Chef Watson can be an essential tool to create appealing dishes under strict dietary constraints as well as to reduce food waste.


42

Automated Problem List Generation from

Electronic Medical Records in IBM Watson

Session Speaker:

Dr. Ching-Huei Tsou ((((鄒慶暉鄒慶暉鄒慶暉鄒慶暉))))

Watson Group IBM T. J. Watson Research Center [email protected]

Biography:

Dr. Ching-Huei Tsou is a senior software engineer in the Watson algorithm group at IBM Research. His area of specialty include machine learning, numerical optimization, and software engineering. Dr. Tsou joined the Watson research team in 2012, after Watson won the Jeopardy! TV show and shifted the research focus to adapting for medical domain. He is the leading researcher and architect of the EMRA (electronic medical records analysis) project in IBM Watson. Prior to join IBM, for 6 years Dr. Tsou was the principle software architect of LightPharma Inc., a Cambridge, MA based software company specialized in pharmaceutical manufacturing process control. During the same period, he was also a research scientist at MIT Auto-ID lab. Dr. Tsou holds a Ph.D. and M.Eng. in Information Technology from Massachusetts Institute of Technology, and a BS in Civil Engineering from National Taiwan University.

Abstract:

Identifying a patient’s important medical problems requires broad and deep medical expertise as well as significant time to gather all the relevant facts from the patient’s medical record and assess the clinical importance of the facts in reaching the final conclusion. A patient’s medical problems list is by far the most critical information that a physician uses in treatment and care of a patient. In spite of its critical role, its curation, manual or automated, has been an unmet need in clinical practice. We developed a machine learning technique in IBM Watson to automatically generate a patient’s medical problems list. The machine learning model uses lexical and medical features extracted from patient’s record using NLP techniques. We show that the automated method achieves 70% recall and 67% precision based on the gold standard that medical experts created on a set of de-identified patient records from a major hospital system in US. To the best of our knowledge this is the first successful machine learning/NLP method of extracting an open-ended patient’s medical problems from an Electronic Medical Record (EMR). This paper also contributes a methodology for establishing accuracy of a medical problem list generation technique.


43

The Picat Language and System

Session Speaker:

Prof. Neng-Fa Zhou ((((周能法周能法周能法周能法) ) ) )

The City University of New York

Biography: Neng-Fa Zhou is a professor of Computer and Information Science at Brooklyn College and Graduate Center of the City University of New York. He received a BS degree in Computer Science from Nanjing University, China, in 1984, and MS and PhD degrees in Computer Science and Engineering from Kyushu University, Japan, in 1988 and 1991, respectively. Before joining CUNY, he was an associate professor at Kyushu Institute of Technology from 1991-1999. He had visiting positions at Yale University (1997), University of Alberta (1998), Tokyo Institute of Technology (2002), and Monash Univeristy/the University of Melbourne (2005).

Abstract:

Picat (picat-lang.org) is a new logic-based multi-paradigm programming language that integrates logic programming, functional programming, dynamic programming with tabling, and scripting. The support of explicit unification, explicit non-determinism, tabling, and constraints makes Picat more suitable than functional (such as Haskell and F#) and scripting languages (such as Python and Ruby) for symbolic computations. Picat provides facilities for solving combinatorial search problems, including solver modules that are based on CP (constraint programming), SAT (propositional satisfiability), and MIP (mixed integer programming), and a module for planning that is implemented by the use of tabling. This talk will give an overview of the Picat language and the underlying techniques used in the Picat system.


44





Session VI

Student Poster Presentation and Robotic

(4:10pm – 5:30pm Boardroom Hallway & Phoenix Terrace)

Session Co-Chairs

Dr. Kun-Lung Wu ((((吳坤龍吳坤龍吳坤龍吳坤龍)))) IBM Watson Research Center

Dr. Ming-Yee Lai ((((賴明賴明賴明賴明毅毅毅毅)))) ConnectiLife

Robotics Demo Livingston Lancer Livingston High School


45

Session VI: Student Poster Presentation and Robotic Demo

Session Co-Chair:

Dr. Kun-Lung Wu (吳坤龍吳坤龍吳坤龍吳坤龍)

Manager, Data-Intensive Systems and Analytics Group IBM T. J. Watson Research Center 1101 Kitchawan Road Yorktown Heights, NY 10598 [email protected]

Biography:

Dr. Wu is the Manager of the Data-Intensive Systems and Analytics Group at the IBM T. J. Watson Research Center. He is also the Development Manager of the InfoSphere Streams SPL Language, Compiler, Programming Model and Research Team, Information Management, IBM Software Group (SWG). The combined Research and SWG team currently engages in the research and product development of the IBM InfoSphere Streams product -- a real-time Big-Data software platform for large-scale, distributed stream processing -- focusing on the research and development of SPL (Streams Processing Language)-related components. In addition, his group studies various research issues in Big Data systems and analytics -- including programming language and model for stream processing; automatic exploitation of data parallelism for streaming applications; fault-tolerance and application resiliency in stream computing; advanced graph analytic algorithms for stream applications; parallel streaming algorithms for exploiting multicore processors; job management and scheduling, resource management and system optimization for Big Data systems.

An IBM Master Inventor, Dr. Wu is also a Fellow of the IEEE, and a member of the ACM. From 2000 to 2004, he was an Associate Editor for IEEE Transactions on Knowledge and Data Engineering. He also served as an organizing or program committee member for many international conferences and workshops. He has received several IBM awards, including an IBM Corporate Environmental Affair Excellence Award, an Outstanding Technical Achievement Award, a Research Division Award, and many Invention Achievement Awards. He has published extensively in various journals and refereed conferences, and received several best paper awards. He also holds or has applied for over 70 patents.


46

Architecture Design of Frame Rate Up-Convertor for Multiple

Platforms via Algorithm/Architecture Platform

Chun-Fu Chen#*, Gwo Giun (Chris) Lee#, Ching-Yung Lin* # Nation Cheng Kung University, Tainan City 70101, Taiwan

* IBM T.J. Waston Research Center, Yorktown Heights, NY 10598, USA [email protected] [email protected]

Abstract

This research work discusses the mapping approach from visual signal processing algorithm onto various platforms via Algorithm/Architecture Co-exploration (AAC). The proposed method assists system designer in investigating the system requirements and early understanding the difficulties in mapping algorithm; subsequently, system designers could explore the design space at various data granularities to determine the feasible and optimal solution according to the specification of application.

According to the previous work on degree of parallelism, this work further analyzes the data reusability to reduce data transfer rate under the consideration of storage usage through dependency matrix that is one of representation of data flow graph. Based on systematical approach in measuring the algorithmic complexity, this work ports the high-end frame rate up-converter, which supports to double the frame rate of video with 1920x1088 resolution at 60 frame rate per second, onto two platforms, FPGA and multi-core platform. In the case study, the algorithmic performance could achieve comparative or outperformed results in comparison with the works in the state-of-the-art.With the consideration of the complexity metrics, we could achieve around 43.94 times fast in comparison with the algorithm just focuses on algorithmic performance but the PSNR drops merely 1.5 dB on average. When porting algorithm onto various platforms, the developed approach increases the computation speed 7.51 time on average as compared to the traditional realization in multi-core platform; on the other hand, we also realize the real-time frame rate up-convertor onto FPGA with low cost owing to the developed method in reducing the bandwidth. As a consequence, the case studies justifies the efficiency of proposed algorithm through providing better algorithmic performance. In the future, these complexity assessment could be applied for other applications that need to control the resource intelligently, such as internet of things, big data analysis and computer vision, due to the fact that the assessment method could indicates the bottleneck of current system; hence, we could figure out a practical solution through resolve the key bottlenecks.


47

Android app-Kid Buddies

Hongbo He NYU Polytechnic School of Engineering

Email : [email protected] Tel : 917-822-7947

Abstract Kid Buddies is a social networking application for parents and their children. This app will help parents to find play partners, afterschool activities, playdates for their children. Social activities are wonderful opportunities for children to interact with others in a small setting and to engage in confidence building. Social activities can help children to develop their social skills, build self-esteem, get a picture of how families are alike and different, learn how to welcome others into their home and how to share with others. Those activities also can help parents to build relationship with other parents of similar age children. Parents can share their joys and challenges what they are experiencing. This application has the potential to benefit both parents and their children. There are many social networking applications or platforms currently available in the market, which are widely used for adults and teens, like Facebook, Twitter, Google+, Club Penguin, Meet-up website. Our application provides social networks for parents and their children.

Hongbo He received his Ph.D in Mechanical Engineering from University of New Mexico in May 2012. From Aug. 2007-Oct. 2012, he served as a Teaching Assistant for Numerical Methods, Heat Transfer courses and taught one undergraduate Heat Transfer Lab. Class. His Ph.D. research was on applying Genetic Algorithms to optimize Adaptive Resonance Theory (ART)-based neural networks(NN) to build a Solar Hot Water test-bed, and design a fault

detection and diagnosis system based on ART NN. Earlier, he received a B.S. in Mechanical Engineering in 2003, and a M.S. in Fluids and Machinery Engineering, Xi’an Jiaotong University (China) in June 2006. He is currently pursuing a M.S. degree in Computer Science with NYU Polytechnic School of Engineering, where he is serving a Teaching Assistant for graduate Computer Architecture course with Prof. Ping-Tsai Chung, a CIE-GNYC BOD. Dr. He’s current interests are cloud computing and mobile apps.


48

A Study on Performance Aspects of Cloud Storage Technology LLiver Jose

DataDirect Networks (DDN) Doctorate in Computing, Ph.D. program at PACE University

Email: [email protected], Tel: 908-316-2749

Abstract Today’s datasets from every space continue to rise from multi sources and screens:

mobile, web enabled devices, surveillance, human generated via social media, machine generated via smart processes, messages, HPC, Financial, Broadcast, Post-Production, etc. These sets are growing exponentially, quickly becoming billions of assets, and consuming petabytes of capacity at a staggering speed - all of which must be quickly and efficiently shared between multiple data centers and accessed by millions of elastic users globally dispersed from anywhere at any time. Compounded by the decrease of disks technology form factor, increased capacity, speed and reliability. As well as advances in: CPU performance, memory speed/size, and faster global network presence; the operating system and access methodology is left with a daunting task of handling multi-threaded billions of calls to the storage sub-system, rendering it therefore inefficient or in need of augmentation. At this capacity and global distribution, traditional storage solutions become complex to deploy, hard to manage, difficult to scale; therefore, a new approach to view the performance aspect is needed. In this poster presentation, I would like to share what I found in my study on the performance aspects of cloud storage technology and their future outlook. We also present the details on how an object store using SSDs and HDDs solution addressed application requirements and how an object store solution addressed infrastructure and operational requirements.

LLiver Jose has been working with DataDirect Networks (DDN) as Global Technical Account Manager since 2010. In DDN, he is responsible for Strategic Accounts across multiple market spaces such as: High Performance Computing, Media and Entertainment, Surveillance, Financial, Web and Cloud; where he interfaces with and/or manages the technical relationship of DDN with Comcast, Verizon, Symantec, Barclays, AT&T, Disney, SONY and Univision, among other accounts. In May 2014, he received Master of Science in

Computer Science with honor from Long Island University, Brooklyn Campus, New York. Currently, he is pursuing a Doctorate in Computing, Ph.D. program at PACE University.

Earlier, he received BS degree in Computer Science from Kean University, New Jersey in 1992. He worked with SONY from 1992 to 2008, where he worked as Software Design Engineer for four years, and later spent the remaining 12 years there as Fellow Engineer in the Broadcast and Post-Production Media and Entertainment Professional Division. From 2008 to 2010, he served as a faculty member and Supervisor of Dept. of Computer Science and Network Engineering at Bloomfield College, New Jersey. He was the recipient of multiple scholastic awards and he is a member of IEEE, ACM, and Sigma Beta Delta International Honor Society.


49

Deploying Mobile Survivability--‐‐‐‐Heterogeneous Sensor

Networks for Barrier Coverage

Xiaoyuan Liang, Jie Tian, Guiling Wang

New Jersey Institute of Technology

Newark, NJ 07102

Abstract

Barrier coverage is a broadly known coverage model for intruder surveillance application in wireless sensor networks. When sensor nodes are deployed outdoors, they are subject to environmental detriments. One traditional barrier cannot provide barrier coverage under both sunny and rainy weather considering that sensors are not equipped any protections. In this paper, we study the barrier coverage problem in a mobile survivability-heterogeneous sensor network, which is composed of sensor nodes with different environmental survivability to make it

robust to environmental damages and with different mobile availabilities to repair the barrier when the barrier cannot be constructed. Our goal is to maintain different barriers to monitor the field under sunny and rainy environment conditions respectively and to prolong the network lifetime as much as possible. We propose a novel greedy barrier construction algorithm to solve the problem. The algorithm adopts weather forecast information to direct the barrier construction for sunny and rainy weather, and so to minimize the energy consumption in each construction. In addition, it is a local algorithm when constructing the barrier in the rain, which could reduce the energy consumption on communication. Simulation results show that our algorithm efficiently solves the problem and outperforms other alternative in many metrics.


50

Service and Application Architectures for Intelligent Multiple-

Sense Mobile Devices in Cloud Computing Chia-Yu Lin,* and Li-Chun Wang

Department of Electrical and Computer Engineering National Chiao Tung University

Email: {[email protected], [email protected]} * Currently at IBM T. J. Watson Research Center as an intern

Mobile devices consist of many sensors, which collect huge amount of

data from each person. Sensors on mobile devices such as Global Positioning System (GPS) and camera sensors generate unstructured sensing data continuously. To analyze multiple sources of streaming sensing data, complex event processing technology is usually used, which combines data from multiple sources to decide whether there are interesting events or patterns. However, streaming sensing data collection and analysis

have not been integrated and implemented on the same platform. We propose a mobile and multi-sensing fusion platform which continuously collects multiple unstructured streaming sensing data, preprocesses the data to specific data type and integrates complex event processing technology to analyze streaming sensing data in real-time. In this poster, we will present a mobile and multi-sensing fusion platform we have implemented, as shown in Fig.1, which includes clients, cloud servers, QoS-ensured performance model and three demonstration applications, including education cloud, rescue cloud and business cloud. In education cloud, we implement augmented reality (AR) technology on a book to interact with users. In rescue cloud, clients collect motion sensor data continuously and compress the sensing data to capture the feature of sensing data. In business cloud, we provide personal consuming recommendation by collecting and analyzing users’ location data, social data and consuming data. We will show details of how these applications work in the proposed platform.

Figure 1. System architecture of mobile and multi-sensing fusion platform.


51

Structural and Mechanistic Studies of

the Inflammasome Assembly

Alvin Lu 1,2, Jianbin Ruan2, Venkat Magupalli2, Qian Yin2, Hao Wu2* 1Chemical Biology Ph.D. Program, Harvard University Cambridge, MA 02138 [email protected] , 2Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, and Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115 *Springer Family Professor of Pediatrics, Harvard medical School [email protected]

Abstract The poster which will be presented primarily focuses on the core structure and assembly mechanism of the ASC-dependent inflammasomes. Inflammasomes are supramolecular signaling complexes that activate a subset of caspases known as inflammatory caspases such as caspase-1. Upon stimulation by microbial and damage-associated signals, inflammasomes assemble to elicit the first line of host defense by proteolytic maturation of cytokines IL-1β and IL-18, and by induction of pyroptotic cell death. Assembly of an inflammasome requires activation of an upstream sensor, a downstream effector, and in most cases an adaptor molecule such as apoptosis-associate speck-like protein containing a caspase recruitment domain (ASC). Nucleated polymerization governs the ordered assembly process from activation of a PYD-containing sensor such as AIM2 by dsDNA or NLRP3 by extracellular particulates, to recruitment of the PYD and CARD-containing adaptor ASC, and finally to activation of CARD-containing caspase-1. The underlying filamentous architecture of inflammasomes and the cooperativity in the assembly may explain the “all-or-none” response in inflammasome activation. The first part of the poster first introduces the activation pathway of the inflammasome complex. The upstream stimuli, including exogenous and endogenous danger-associated molecular patterns (DAMPs) and pathogen-associated molecular patterns (PAMPs), activate a sensor molecule belonging to one of the two classes, AIM2-like receptors (ALRs) or NOD-like receptors (NLRs). The activated sensor may then recruit ASC, which relays the signal by recruiting and activating the downstream effector caspases. These processes are driven by homotypic interaction between compatible protein domains, including PYD and CARD domains. Next, the poster will illustrate the domain organization of the component proteins and their functional role in assembly or activation. Sensor proteins have highly conserved domain organization but may respond to a variety of different stimuli. The adaptor molecule ASC, which I will be emphasizing in the rest of the poster, is a “bi-partite” molecule with two related but functionally distinct domains, allowing it to serve as a link to relay the signal. And the effector molecules have a protease domain, named as caspase domain, allowing them to cut the downstream inflammatory cytokines into their matured form. The rest of the poster focuses on our structural and biochemical findings on ASC-dependent inflammasomes.


52

A Rule-based Expert System: Speakeasy – Smart Drink Dispenser

Chrysanthos Mavropoulos* Long Island University, Brooklyn, New York Email: [email protected] Tel: (551) 221-4457

Abstract In this Project, we develop a knowledge-based expert system case study called

Speakeasy Expert System (S.E.S.) for exercising the rule-based expert system programming in both CLIPS and VisiRule. The knowledge Base is rule-based, it contains 155 rules. CLIPS stands for “C Language Integrated Production System” and it’s an expert system tool created to facilitate the development of software to model human knowledge or expertise. VisiRule is a tool that allows experts to build decision models using a graphical paradigm, but one that can be annotated using code and or Boolean logic and then executed and exported to other programs and processes.

Nowadays, there are billions of computing devices are interconnected in computing and communications. These devices include from various desktop personal computers, laptops, servers, embedded computers to small ones such as mobile phones. This growth shows no signs of slowing down and becomes the cause of a new technology in computing and communications. This new technology is called Internet of Things (IOT). In this study, we propose and extend the S.E.S into a Smart Drink Dispenser using IOT Technology. We present Data Flow Diagram of S.E.S in IOT Environment and its IOT architecture, and propose the usage and implementation of S.E.S.

Keywords: Knowledge-based Expert Systems, Decision Making Information System, Artificial Intelligence (AI), CLIPS, VisiRule, Radio-frequency Identification (RFID), and Internet of Things (IOT).

Chrysanthos Mavropoulos received a Master’s Degree in Computer Science, with Long Island University – Brooklyn Campus, New York in May 2014. Earlier, he received Bachelor of Technological Engineering with Specialty: Telecommunication Systems and Networks Technological Engineer in July 2011. From June 2013 to May 2014, he served as president of the Joint Student Branch Chapter of IEEE Systems, Man, & Cybernetics Society and IEEE Computer Society at LIU-Brooklyn.


53

ON and OFF phenomenon of selenium quantum dots

Yi Pan*, Yu Zhao, John Lombardi Department of Chemistry,

The City College of New York, New York, NY 10031, USA

*Corresponding author: [email protected] Co-author: [email protected], [email protected]

Abstract

Selenium quantum dots (QDs) of red α-m-Se are obtained by dissolving microscale grey trigonal Se powder in 1-tetradecene (TDE) followed with a simple solution precipitation. The structures and components of the nearly monodisperse samples were characterized by transmission electron microscope (TEM), high resolution transmission electron microscope (HRTEM), fast Fourier transformation (FFT) of HRTEM, energy-dispersive x-ray spectroscopy (EDS), UV-Visible spectrometer, and Raman

spectroscopy. The average size of the Se QDs synthesized is 1.8 ± 0.3 nm. An ON and OFF phenomenon was observed when shining laser with a 785 nm excitation wavelength on the Se QDs.

We expect that the synthetic protocol will open a new field for the controlled synthesis of nanoparticles not only for semiconductor elements, but also for other compounds. We believe further investigation of the ON and OFF phenomenon and understanding of the formation mechanism of the α-m-Se QDs with size at the boundary of the amorphous and the crystal states certainly will have a substantial impact on the fundamental research of nanocrystals and their potential applications in the photovoltaic, optoelectronic, and electronic fields.


54

A High-Resolution Map and Top Sites for Tidal Power

along NJ/NY Coast

Ke Qu & Hansong Tang Department of Civil Engineering

City College, City University of New York 138th Street, Convent Avenue,

New York, NY 10031

Abstract

The first and a crucial step in development of tidal power, is a reliable survey of temporal and spatial distribution of tidal energy along coastlines. This project first reviews the advance in assessment of tidal energy, in particular marine hydrokinetic (MHK) energy, and discusses involved challenges and necessary approaches, and then it makes a thorough survey as an illustrative case study on distributions and top sites

of MHK energy within the Might-Atlantic-Bight (MAB) with emphasis on the New Jersey (NJ) coastlines. In view of the needs in actual development of tidal power generation and sensitivity of tidal power to flow speed, a high-resolution and detailed modeling is desired. Data with best available accuracy for coastlines, bathymetry, tributaries, etc. are used, meshes as fine as 20m and less for the whole NJ coast are generated, and the unstructured grid finite volume coastal ocean model (FVCOM) and high performance computing (HPC) facilities are employed. Besides comparison with observation data, a series of numerical tests have been made to ensure reliability of the modeling results. A detailed tidal energy distribution and a list of top sites for tidal power are presented. It is shown that indeed sea-level-rise (SLR) affects the tidal energy distribution significantly. With SLR of 0.5 m and 1m, tidal energy in NJ coastal waters increases by 21% and 43%, respectively, and the number of the top sties tends to decrease along the barrier islands facing the Atlantic Ocean and increase in the Delaware Bay and the Delaware River. Based on the high resolution simulation results, this project makes a thorough search for potential sites for actual tidal power generation along the entire shore lines of NJ and partial coast of New York, with special attention to locations near transportation infrastructures, and it evaluates their power density, surface area, water depth, distance to environmentally sensitive zones, etc. A list of 32 top sites are identified along the coastlines, and, among them, 21 sites with total surface area of 13 km2 are located in the near shore regions of NJ, and many sites are found next to its bridges. Another 10 favorable sites are also picked up near ports, docks, and marinas in NJ. An estimate indicates that 3.95•105 kW of tidal power could be extracted from the 21 sites. Analysis shows that sea-level-rise could substantially change tidal energy at the identified sites, and it is a factor that has to be taken into account in site selection. On the basis of these results, the approaches for a high-resolution survey for MHK energy are summarized and their future development is discussed.


55

Optical Broadband Angular Selectivity

Yichen Shen, Marin Solijacic and John D. Joannopoulos

Physics Department Massachusetts Institute of Technology

Cambridge, MA 02139 Corresponding author email: [email protected]

Abstract

Light selection based purely on the angle of propagation is a long-standing scientific challenge. In angularly selective systems, however, the transmission of light usually also depends on the light frequency. We tailored the overlap of the band gaps of multiple one-dimensional photonic crystals, each with a different periodicity, in such a way as to preserve the characteristic

Brewster modes across a broadband spectrum. We provide theory as well as an experimental realization with an all–visible spectrum, p-polarized angularly selective material system. Our method enables transparency throughout the visible spectrum at one angle—the generalized Brewster angle—and reflection at every other viewing angle. Supporting information: The poster will feature the main material of our recent published paper on Science magazine (http://www.sciencemag.org/content/343/6178/1499.full.pdf?keytype=ref&siteid=sci&ijkey=CgQ.ko3NMMpFI) The breakthrough has been reported by over 50 magazines and news, including MIT

news (http://newsoffice.mit.edu/2014/a-new-angle-on-controlling-light) and 新華社

(http://news.xinhuanet.com/world/2014-03/28/c_119994570.htm).


56

Quantification of Blood Brain Barrier Solutes Permeability

Increased by Focused Ultrasound Sonication Combined with

Microbubbles Using Two Photon Microscopy Imaging

Department of Biomedical Engineering, the City College of the City University of New York, Department of Biology, the City College of the City University of New York Institute for Ultrafast Spectroscopy and Lasers, the City College of the City University of New York Dr. Lingyan Shi obtained a PhD degree from Biomedical Engineering department in CCNY. She is now a research associate at IUSL and Biology department at City College of New York (CCNY). Her research focuses on using multiphoton deep tissue imaging with femtosecond laser pulses to understand the functional interactions between neural cells and the brain vasculature, blood-brain barrier permeability and its regulation for drug delivery. Other research interests include biomedical optics, ultrasound, condensed matter light interactions, and solar energy conversion. She has 12 publications in peer-reviewed journals. She was an NIH mentor for undergraduate scholars from 2010 to 2012.

Abstract

The blood-brain barrier (BBB) is a unique barrier between cerebral circulation and the brain tissue that maintains the environment of the brain by limiting the entrance of molecules and ions from the blood; however, it also inhibits drug delivery into the brain for treating brain diseases. Recent studies have shown that focused ultrasound (FUS), combined with microbubbles (MBs), is a promising technique for drug delivery to the central nervous system by transiently disrupting the BBB. To find the optimal FUS and MBs that can induce reversible increase in the BBB permeability, we used two-photon microscopy to measure the BBB permeability to dextran 155k (molecular weight close to an antibody) in vivo by applying various doses of FUS together with an optimal size and concentration of MBs. The cerebral microcirculation in rat was observed through a section of frontoparietal bone thinned with a micro-grinder. Five minutes after applying FUS on

the thinned skull in the presence of MBs (2 μm, 1.7x106 bubbles/ml) for 1 min, TRITC-dextran-155k (1 mg/ml in 1% BSA Ringer’s solution) was injected into the cerebral circulation via the ipsilateral carotid artery by using a syringe pump. The temporal images were collected simultaneously ~100-200 µm below the pia mater. Permeability was determined from the rate of tissue solute accumulation around individual microvessels. At the optimal dose, permeability increased ~14-fold after 5 min post-FUS, and it returned to the control level after 25 min. FUS without MBs or MBs injected without FUS did not change the permeability. Our study presents an accurate in vivo assessment for the transient BBB permeability change under the treatment of FUS. The optimal FUS dose found for the reversible BBB permeability increase without BBB disruption is reliable and can be applied to future clinical trials.


57

Selective Hydro-deoxygenation (HDO) of Furfural Using Low-

cost Metal Carbide and Bimetallic Catalysts

Ke Xiong[a], Prof. Jingguang G. Chen*[b] [a] Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, 19716, [email protected] [b] Department of Chemical Engineering, Columbia University, New York, NY, 10027, [email protected] * Corresponding author

Abstract Selective hydro-deoxygenation (HDO) of furfural is crucial for converting this important biomass-derived platform molecule to value-added 2-methylfuran. 2-methylfuran is a promising biofuel due to its high blending research octane number and high energy density.1 Previously, a 95% yield of 2-methylfuran from furfural was achieved on copper chromite catalyst.2 However this catalyst is toxic and an environment-benign substitute is demanded. Molybdenum carbide (Mo2C) is an emerging HDO catalyst due to its high selectivity for CO/C=O bond scission compared to C-C bond scission;3,4 however the mechanistic reason for its high HDO activity was not well understood. In this work, Mo2C was investigated in terms of its ability for converting furfural to 2-methylfuran. Density functional theory (DFT) calculations predicted a preferential bonding configuration of furfural on Mo2C through the C=O bond which was experimentally confirmed by a surface vibrational technique. Both temperature programmed desorption (TPD) and flow reactor study detected 2-methylfuran from the reaction of furfural on Mo2C with a high selectivity, confirming the selective HDO activity of Mo2C. FeNi alloy was another material which was demonstrated to be active for converting furfural to 2-methylfuran.5 However, how the formation of Fe-Ni bimetallic bond affected the adsorption geometry and reaction pathway of furfural remained an open question. Herein, we performed surface science measurements, combined with DFT calculations, in order to resolve the puzzle. The adsorption geometry of furfural was also investigated on SiO2 supported catalysts under ambient pressure to bridge the material gap and pressure gap between model surfaces and supported catalysts.

Reference:

(1) Lange, J.-P.; Heide, E. v. d.; Buijtenen, J. v.; Price, R. ChemSusChem 2012, 5, 150. (2) Burnett, L. W.; Johns, I. B.; Holdren, R. F.; Hixon, R. M. Industrial & Engineering Chemistry 1948, 40, 502. (3) Ren, H.; Yu, W.; Salciccioli, M.; Chen, Y.; Huang, Y.; Xiong, K.; Vlachos, D. G.; Chen, J. G. ChemSusChem 2013, 6, 798. (4) Jongerius, A. L.; Gosselink, R. W.; Dijkstra, J.; Bitter, J. H.; Bruijnincx, P. C. A.; Weckhuysen, B. M. ChemCatChem 2013, 5, 2964. (5) Sitthisa, S.; An, W.; Resasco, D. E. J. Catal. 2011, 284, 90.


58

Lancer Robotics “Inspires” Innovation

Affiliated with the Livingston High School in New Jersey, the Livingston Lancers Robotics Team #3415 is made of students who are interested in programming and building robots to compete in regional and international competitions such as the FIRST Tech Challenge (FTC). During the past 5 seasons, the Livingston Lancers have won numerous awards at the state and world championships.

Season FTC Game Awards received

2013 – 2014

Block Party! New Jersey State Championship – Inspire Award 2nd Place Advanced to Super Regional

2012 – 2013

Ring It Up! New Jersey State Championship – Think Award Pennsylvania State Championship – Think Award

2011 – 2012

Bowled Over

New York City Championship – Inspire Award Advanced to World Championship

2010 – 2011

Get Over It! New Jersey State Championship – Connect Award New York City Championship – Inspire Award World Championship – PTC Design Award

2009 – 2010

Hot Shot! New York City Championship – Inspire Award Advanced to World Championship

Led by head coach Jim Novotny, team skills mentors Mr. & Mrs. Lynn, and CAD

advisor David Richards, the team members of Livingston Lancers have put their creative minds together to build amazing robots that hold insight to realistic real-world applications. Their robotics demonstration at the CIE convention will include a general description of FIRST (For Inspiration and Recognition of Science and Technology) robotics, and an in-depth discussion of the different aspects of robotics design such as build, CAD, programming, and outreach. At the end of their presentation, the audience will have an opportunity to drive the robot around the field to experience their driver-oriented code. The demonstration of their award-winning robot, which currently holds the highest score in New Jersey for the 2014-2015 season, will be given by senior co-captains Menglong Guo and Lucas Ochoa, junior Olivia Yao and sophomore Harris Paspuleti.

Menglong Guo Lucas Ochoa Olivia Yao Harris Paspuleti

Documents

2014 Annual Convention Proceedings - CIE-USA/GNYC · Plenary Session Speaker: Distinguished Achievement Award Dr. Xiaowei Zhuang (莊小威) Dr. Xiaowei Zhuang is a professor of chemistry