Home > Speakers
  Executive Speakers      
 
  Dr. Hsiao-Wuen HON
Managing Director of MSRA
  Shipeng LI
Principle Researcher, MSRA
  Michael GILLAM
Head of the Microsoft Medical Media Lab in Washington DC
  Simon MERCER
Director of External Research & Programs, MSR Redmond
  Prof. Junichi TSUJII
The University of Tokyo
  Prof. David FENG
University of Sydney /
Hong Kong Polytechnic University
  Lolan SONG
Senior Director of University Relations, MSRA
  Prof. Desok KIM
KAIST
  Prof. Testuya MATSUDA
Kyoto University
 
  Eric CHANG
Director of Technology Strategy,
MSRA
  Wenwu ZHU
Sr. Researcher, MSRA
  Desney TAN
Sr. Researcher, MSR Redmond
  Prof. Sang Yup LEE
KAIST
  Prof. Shangkai GAO
Tsinghua University
  Prof. May Dongmei WANG
Georgia Tech and Emory University
  Dr. Wen-Lian HSU
Institute of Information Science
Academia Sinica
  Prof. Jimmy Liu JIANG
A*STAR
     
 
  Panelists      
 
  Kristin M. Tolle, Ph.D.
  Prof. Shangkai GAO
  Prof. Jim Warren
  Dr. Kendall Ho
 
  Prof. TH Lam
  Prof. Hong-Gee, Kim
  Michael GILLAM
 
 
 
         
       
 
  Dr. Hsiao-Wuen HON
Managing Director, Microsoft Research Asia

Dr. Hsiao-Wuen Hon is Managing Director of Microsoft Research Asia, located in Beijing, China. In this role, Dr. Hon oversees the lab’s research activities and collaborations with universities in Asia Pacific.

An IEEE fellow, Dr. Hon is an internationally recognized expert in speech technology. He serves on the editorial board of the international journal of the Communication of the ACM. Dr. Hon has published more than 100 technical papers in international journals and at conferences. He co-authored a book, Spoken Language Processing, which is a graduate-level textbook in speech technology. Dr. Hon holds three dozens of patents in several technical areas.

Dr. Hon has been with Microsoft for 14 years. He joined Microsoft Research Asia in 2004 as a Deputy Managing Director, responsible for research in Internet search, speech & natural language, system, wireless and networking. In addition, he managed MSN Search product development in China.

Prior to joining Microsoft Research Asia, Dr. Hon was architect with the Natural Interaction Service Division at Microsoft Corporation in Redmond, WA. He was responsible for architectural and other technical aspects of the award-winning Microsoft Speech Server product. Dr. Hon joined Microsoft Research as a senior researcher in 1995. He previously worked at Apple Computer, where he led research and development for Apple's' Chinese Dictation Kit.

Dr. Hon received a B.S. in Electrical Engineering from National Taiwan University and Ph.D in Computer Science from Carnegie Mellon University.

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  Eric Chang
Director of Technology Strategy, Microsoft Research Asia

Eric Chang joined Microsoft Research Asia (MSRA) in July, 1999 to work in the area of speech technologies. Eric is currently the Director of Technology Strategy of MSR Asia, where his responsibilities include research program communication, IP portfolio management, and driving new research themes. Prior to his new responsibilities at MSR Asia, Eric co-founded Microsoft Advanced Technology Center (ATC) in 2003 as the Assistant Managing Director. At ATC, Eric led teams to ship features for Windows Vista and Windows Mobile and started a multi-disciplinary incubation team. Before joining ATC, Eric was the research manager of the speech group at MSRA and the acting University Relations Director for one year. A technology transfer result from his group is the Chinese version of Office XP, which incorporates the Mandarin speech recognition engine developed at Microsoft Research Asia.

Prior to joining Microsoft Research, Eric was one of the founding members of the Research group at Nuance Communications, a pioneer in natural speech interface software for telecommunication systems. While at Nuance, Eric worked on various projects involving confidence score generation, acoustic modeling, and robust speech detection. He also led the technical effort to develop the Japanese version of the Nuance product. This project led to the world's first deployed Japanese natural language speech recognition system.

Eric has also developed speech recognition algorithms at M.I.T. Lincoln Laboratory, invented a new circuit optimization technique at Toshiba ULSI Research Center, and conducted pattern recognition research at General Electric Corporate Research and Development Center.

Eric graduated from M.I.T.with Ph.D., Master and Bachelor degrees, all in the field of electrical engineering and computer science. While at M.I.T., he was inducted into the honorary societies Tau Beta Pi and Sigma Xi. Eric is also a Senior Member of IEEE.

Eric has published papers in the fields of speech recognition, neural networks, and genetic algorithms in various journals and conferences. He is the author of several granted and pending patents. His research interests are spoken language understanding, machine learning, and signal processing.

Speech title:
Transforming Healthcare through Data

Abstract:
With over 16% of US’s GDP devoted to healthcare and all world governments working toward improving healthcare for their people, making healthcare more effective and efficient is becoming a great opportunity for the technology industry. In this talk, I will present several opportunities to create infrastructure to extract actionable insights from healthcare related data in the areas of enterprise data collected in hospitals and personal data collected by individuals. HealthMiner, a system focusing on enterprise level data processing, and MyLife, a system for enhancing personal wellness management, will be presented.

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  Shipeng Li
PRINCIPAL RESEARCHER

Dr. Shipeng Li joined Microsoft Research Asia (MSRA) in May 1999. He is now a Principal Researcher and Research Area Manager of the Media Computing Group. His research interests include Signal processing, multimedia coding, analysis, communication and networking. From Oct. 1996 to May 1999, Dr. Li was with Multimedia Technology Laboratory at Sarnoff Corporation (formerly David Sarnoff Research Center, and RCA Laboratories) as a member of technical staff. He has authored and co-authored over 200 journal and conference papers and holds 50+ granted and 70+ pending US patents in image/video processing, compression and communications, digital television, multimedia and wireless communication. He has co-authored 3 book chapters on multimedia coding and standards and co-edited 2 multimedia conference proceedings.

Dr. Li is the secretary of VSPC TC, a member of MSA TC, in IEEE CAS Society. He is a member of MC TC in IEEE Communication Society and a past member of MMSP TC in IEEE SP Society. He serves as an AE of IEEE T-CSVT and is on the editorial board of JVCI. Dr. Li has chaired or is chairing various committees in over a dozen international conferences on multimedia including program chairs of VCIP 2005 and PCM 2008, and general chairs of PV 2006, VCIP 2010 and CIVR 2010.

Dr. Li holds guest/adjunct professorships in 8 universities including Shanghai Jiaotong University, the Chinese University of Hong Kong, and University of Science and Technology of China (USTC).

Dr. Li received his B.S. and M.S. in Electrical Engineering from USTC in 1988 and 1991, respectively. He received his Ph.D. in Electrical Engineering from Lehigh University in 1996. He was assistant professor in Electrical Engineering Department at USTC in 1991-1992.

Speech title:
Cloud-based pervasive eHealth services

Authors:
Wenwu Zhu and Shipeng Li

Abstract:
Rapid development of pervasive healthcare systems and services is bringing new lifestyle healthcare to people’s daily lives. In such pervasive healthcare, people’s health conditions and body activities can be continuously monitored and proper medical actions can be performed anytime and anywhere more effectively. In this talk, we will present a cloud-based pervasive healthcare system, which is comprised of body sensor networks (BSN), mobile phones, and cloud. By utilizing cloud computing and pervasive computing technologies, our system enables novel eHealth services like Virtual Body and Body/Health Tracker.

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  Wenwu Zhu
Sr. Researcher, Microsoft Research Asia

Wenwu is a Senior Researcher at the Media Computing Group at Microsoft Research Asia. Prior to his current post, he was Principal Architect at Microsoft Advanced Technology Center from April 2008 to April 2009. He was the Director and Chief Scientist of Intel Communication Technology Lab China as well as a Principal Engineer from September 2004 to 2008. He previously served with Microsoft Research Asia in the Internet Media Group and Wireless and Networking Group as Research Manager from October 1999 to August 2004. He worked for Bell Labs as Member of Technical Staff during 1996-1999. He has published over 200 papers in multimedia communications & networking and wireless communications & networking. He participated in the IETF ROHC WG on robust TCP/IP header compression over wireless links and IEEE 802.16m WG standardization. He is the inventor or co-inventor of over 40 patents. His current research interest is in the area of multimedia computing, communications and networking.

An IEEE Fellow, Wenwu has served on various editorial boards of IEEE journals, such as Guest Editors for the Proceedings of the IEEE and IEEE Journal of Selected Areas in Communications (JSAC), Associate Editors for IEEE Transactions on Mobile Computing, IEEE Transactions on Multimedia, and IEEE Transactions on Circuits and Systems for Video Technology. He received the Best Paper Award in IEEE Transactions on Circuits and Systems for Video Technology in 2001, and the Best Paper Award in 2004 from Multimedia Communication Technical Committee of IEEE Communications Society. He is a past Chair of Visual Signal Processing and Communication Technical Committee of IEEE Circuits and Systems Society. He currently serves as the Chair of IEEE Circuits and System Society Beijing Chapter, the Steering Committee of IEEE Transactions on Mobile Computing, and the advisory board of International Journal of Handheld Computing Research. He will serve as TPC Chair for IEEE ISCAS 2013 in Beijing.

Wenwu received his B.E. and M.E. degrees from the National University of Science and Technology, China, in 1985 and 1988, respectively; his M.S. degree from Illinois Institute of Technology, Chicago; and his Ph.D. degree from New York University (Polytechnic Institute), New York, in 1993 and 1996, respectively, all in Electrical Engineering.

Speech title:
Cloud-based pervasive eHealth services

Authors:
Wenwu Zhu and Shipeng Li

Abstract:
Rapid development of pervasive healthcare systems and services is bringing new lifestyle healthcare to people’s daily lives. In such pervasive healthcare, people’s health conditions and body activities can be continuously monitored and proper medical actions can be performed anytime and anywhere more effectively. In this talk, we will present a cloud-based pervasive healthcare system, which is comprised of body sensor networks (BSN), mobile phones, and cloud. By utilizing cloud computing and pervasive computing technologies, our system enables novel eHealth services like Virtual Body and Body/Health Tracker.

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  Michael GILLAM
Head of the Microsoft Medical Media Lab in Washington DC

Michael Gillam, MD, is a physician executive in the Health Solutions Group at Microsoft where he serves as Director of the Health Innovation Labs, a technology transfer lab for next generation healthcare informatics software. He is a board certified emergency medicine physician who trained and practiced at Northwestern University. He is also a software engineer who, prior to Microsoft, served as the Research Director for the National Institute for Medical Informatics in Washington D.C. He served as Director of Research for Azyxxi which was acquired by Microsoft in 2007 and now marketed under the Amalga™ trademark. Dr. Gillam previously served as the Informatics Director for the Department of Emergency Medicine at Evanston Northwestern Healthcare (affiliated with Northwestern University School of Medicine). Dr. Gillam is a published author of a number of articles in peer-reviewed journals and conference abstracts. He is a frequent invited lecturer at national conferences speaking on emerging technologies in medical informatics. Dr. Gillam has directed projects spanning technologies including: advanced data visualization; biosurveillance; electronic documentation; RFID tracking; automated facial image capture; enterprise search in healthcare; unified communications; gesture based interface control; medical robotics; and augmented and virtual reality.

Speech title:
Emerging Transformational Changes in Healthcare Computing

Abstract:
The foundations for the biggest changes in the future of healthcare are being laid in the field of health information technology today. From the emergence of enterprise computational clouds to the fast growing area of personally owned digital health records, this session examines the historic medical trends that are defining the most promising areas for success in healthcare computing today.

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  Desney Tan
Sr. Researcher, Microsoft Research Redmond

Desney Tan's research interests include Human-Computer Interaction, Physiological Computing, and Healthcare.
Desney is currently a Senior Researcher in the Visualization and Interaction Area at Microsoft Research, where he manages the Computational User Experiences group. He also holds an affiliate faculty appointment in the Department of Computer Science and Engineering at the University of Washington. Desney received his Bachelor of Science in Computer Engineering from the University of Notre Dame in 1996, after which he spent a couple of years in the Singapore Armed Forces. He later returned to Carnegie Mellon University, where he worked with Randy Pausch and earned his PhD in Computer Science in 2004.
Desney has served on numerous conference and program committees. He was Technical Program Chair of the CHI 2008 Conference on Human Factors in Computing Systems, and will serve as General Chair in 2011. He also serves on the ACM SIGCHI Conference Management Committee. Of relevant note, Desney is co-organizing the Workshop on Interactive Systems in Healthcare (www.chi2010.org/wish) which will be co-located with the CHI 2010 conference in Atlanta, Georgia.
Desney was honored as one of MIT Technology Review's 2007 Young Innovators Under 35 for his work on brain-computer interfaces. He was also named one of SciFi Channel's Young Visionaries at TED 2009, as well as Forbes' Revolutionaries: Radical Thinkers and their World-Changing Ideas for his work on Whole Body Computing.

Speech title:
Designing Patient-Centric Information Displays

Abstract:
In recent years, the medical informatics community has begun to recognize human-computer interaction (HCI) and better understanding of social and human elements in designing interactive healthcare systems. Meanwhile, research in human-computer interaction has found healthcare a rich and interesting domain of inquiry. In our work, we attempt to leverage work in these domains to design and develop patient-centric healthcare technologies.
Electronic medical records are increasingly comprehensive, and this vast repository of information has already contributed to medical efficiency and hospital procedure. However, this information is not typically accessible to patients, who are frequently under-informed and unclear about their own hospital courses. In this talk, I will describe some of our work designing in-room, patient-centric information displays, and present current results based on a small-scale wizard-of-oz study as well as on iterative design with physicians.

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  Simon Mercer
Director of External Research & Programs, MSR Redmond

Simon J. Mercer, Ph.D. is Director of the global Health and Wellbeing theme of Microsoft External Research, with responsibility for a range of collaborations between Microsoft and academic researchers in the areas of genomics, modeling biological systems, data mining for healthcare and medical devices. Dr. Mercer has a Ph.D. in mammalian chromosomal evolution from Oxford University and was Director of Bioinformatics and Strategic IT at the National Research Council of Canada and Director of Software Engineering at Gene Codes Corporation prior to joining Microsoft. Dr. Mercerí»s research interests include bioinformatics, genomics and the management of large-scale biological datasets.

Speech Title:
The Health and Wellbeing Theme of External Research - Projects and Strategy

Abstract:
The External Research team within Microsoft Research has the goal of demonstrating the value of Microsoft technologies to the global academic community. Human healthcare is a rich source of scientific challenges, many of which may be addressed through the application of advanced computing technology. Through the establishment of a range of collaborative projects between Microsoft and academic researchers, we have been able to accelerate research and create a range of freely-available software tools of value to researchers. This talk will cover the scope and strategy of the Health and Wellbeing theme, giving examples of projects from the current global portfolio.

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  Prof. Sang Yup LEE
KAIST

Dr. Sang Yup Lee is Distinguished Professor and LG Chem Chair Professor at the Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST). He is currently the Dean of College of Life Science and Bioengineering, Director of Center for Systems and Synthetic Biotechnology, Director of BioProcess Engineering Research Center, and Director of Bioinformatics Research Center. He has published more than 315 journal papers, 49 books/book chapters, and more than 440 patents—either registered or applied. He received numerous awards, including the National Order of Merit, Merck Metabolic Engineering Award from Merck, and Elmer Gaden Award from Biotechnology and Bioengineering. He is currently Fellow of AAAS, Fellow of American Academy of Microbiology, Fellow of Korean Academy of Science and Technology, Editor-in-Chief of Biotechnology Journal, and Associate Editor and board member of numerous journals. His research interests are systems biology and biotechnology, industrial biotechnology, metabolic engineering, and nanobiotechnology.

Speech Title:
Systems and Synthetic Biotechnology - Projects and Strategy

Abstract:
As our concerns on global warming and other environmental problems are increasing, there has been much interest in developing sustainable system for the production of chemicals, fuels, and materials from renewable resources. As microorganisms isolated from nature are often inefficient in performing the desired task, rational metabolic engineering of microorganisms has been employed for the improvement of microbial performance. We are now observing the paradigm change in biological and biotechnological research on microorganisms as systems biology and synthetic biology are playing increasingly important roles in deciphering and redesigning the cellular circuits. In this lecture, I will present the general strategies for systems and synthetic biotechnology, which will be accompanied by several successful application examples including production of chemicals and materials. Also, a general strategy for systems metabolic engineering will be introduced as an essential technology for making any bioprocess competitive. [This work was supported by Microsoft and by the Korean Systems Biology Research Grant from the Korean Ministry of Education, Science and Technology.]

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  Prof. Jun-ichi TSUJII
The University of Tokyo

Professor Jun-ichi Tsujii is Professor of Natural Language Processing in the Department of Computer Science, University of Tokyo. He is also scientific director of the National Centre for Text Mining (NaCTeM) and professor of Text Mining in the School of Computer Science University of Manchester. He has worked since 1973 in Natural Language Processing, Question Answering, Text Mining and Machine Translation. He is Project leader of a Specially Promoted Research (2006 - 2011) on Advanced NLP and Text Mining, by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan, and Co-investigators of several projects supported by BBSRC in UK. He gave keynote speeches and invited talks at many conferences such as LREC (2004), IWSL (2004), SMBM (2005), ICSB (2006), BioCreative(2007), IEEE-ASRU(2007), etc. His recent research achievements include (1) Deep semantic parsing based on feature forest model, (2) Efficient search algorithms for statistical parsing, (3) Improvement of estimator for maximum entropy model, and (4) Construction of the gold standard corpus (GENIA) for Bio Text Mining. He has received a number of awards such as the IBM Science Award (1989), SEYMF Visiting Professorship (2000), Daiwa-Adrian Prize (2004), IBM Faculty Award (2005) and Achievement Award of Japan Society for Artificial Intelligence (2008). He was President of ACL (Association for Computational Linguistics, 2006). He is Permanent member of ICCL (International Committee for Computational Linguistics, 1992-), Auditor of Research Organization of Information and Systems in Japan (2006-). He has authored more than 300 papers in journals, conferences and books.

Speech title:
Natural Language Processing and Text Mining for e-Health

Abstract:
A large amount of information potentially valuable for health-care is hidden in unstructured forms of text such as scientific publication, patient records, summaries of product characteristics (SPCs) on drugs, etc. Information extraction for the bio-medical domain have made significant progress in the last decade, which provides an effective means for effective exploitation of information embedded in these diverse types of text. In particular, the techniques specially developed for NER (Named Entity Recognition) and ER (Even Recognition) for the domain are now becoming available. They are being used to link information in text with other, more structured sources of information. In this talk, I present several semantic-based text retrieval and mining systems that my group at the University of Tokyo and the group at National Centre for Text Mining (NaCTeM) in UK have developed. Some future challenges will also be discussed.

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  Prof. Shangkai GAO
Tsinghua University

Shangkai Gao graduated from the Department of Electrical Engineering of Tsinghua University, Beijing, China, in 1970, and received the M.E. degree of biomedical engineering in 1982 in same department of Tsinghua University, Beijing, China. She has been working in Tsinghua University since 1970. She is currently a professor of the Department of Biomedical Engineering, Tsinghua University. Her research interests include biomedical signal and image processing, especially the study of brain-computer interface. She has been elected as IEEE Fellow in 2007 for her contributions to the study of brain-computer interface. She is now the associate editor of IEEE Transactions on Biomedical Engineering and the editorial board member of Physiological Measurement, Journal of Neural Engineering and so on.

Speech title:
Brain-computer interface and its potential applications

Abstract:
Brain-computer interfaces (BCI) support direct communication and control between brain and external devices without any use of peripheral nerves and muscles. It provides a new augmentative technology for those people with severe motor disabilities to convey their intents or to control surrounding devices. Electroencephalogram (EEG) based BCI is a non-invasive technology and probably the most acceptable system for various users. This talk will introduce the basic principle, methods and system realizations of EEG based BCIs. Also, the potential applications of BCI will be presented.

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  Prof. David FENG
University of Sydney / Hong Kong Polytechnic University

David Dagan Feng received his ME in EECS from Shanghai JiaoTong University in 1982, MSc in Biocybernetics and Ph.D in Computer Science from the University of California, Los Angeles (UCLA) in 1985 and 1988 respectively, where he received the Crump Prize for Excellence in Medical Engineering. He has been Professor and Head of Department of Computer Science / School of Information Technologies, and is currently Associate Dean of Faculty of Science at the University of Sydney; Honorary Research Consultant, Royal Prince Alfred Hospital, the largest hospital in Australia; Chair-Professor of Information Technology, Hong Kong Polytechnic University; Advisor of the European 3D-AH Project involving 9 countries; Advisory Professor, Chief Scientist and Chair of International Advisory Committee, Med-X Research Institute, Shanghai JiaoTong University, and Guest Professor of Northwestern Polytechnic University, Northeastern University, Beijing Post & Telecommunication University, Xiamen University and Tsinghua University. He is the Founder and Director the Biomedical & Multimedia Information Technology (BMIT) Research Group and has published over 500 scholarly research papers, pioneered several new research directions, made a number of landmark contributions in his field with significant scientific impact and social benefit. He has been served as Chair of the IFAC Technical Committee on Biological and Medical Systems, and Special Area Editor / Associate Editor for IEEE Transactions on Information Technology in Biomedicine and several other key journals in his area. He has been invited to give over 80 keynote presentations in 23 countries and regions. Prof. Feng is a Fellow of ACS, HKIE, IET, IEEE, and Australian Academy of Technological Sciences and Engineering.

Speech title:
Research on Core Techniques in Molecular Imaging for E-Healthcare

Abstract:
Recent advances in information technology and digital medical imaging have revolutionized biotechnology, biomedical research and healthcare. Functional imaging is a new technology that provides images of physiological and biochemical functions at the molecular level, and provides the opportunity to accurately quantify a variety of physiological and biochemical events such as Local Cerebral Blood Flow, Metabolic Rate of Glucose, Protein synthesis Rate and drug uptake, including neural receptor specific and non-specific binding, that will prove indispensable in the application of the molecular approach to disease states, clinical diagnosis, treatment and assessment the response to the treatment. This talk will focus on some core theories and enabling techniques research in molecular imaging for E-Healthcare, such as data acquisition and compression, data storage, retrieval and management, feature extraction and biomedical process quantification, visualization, mobile- and tele-medicine.

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  Prof. May Dongmei WANG
Georgia Tech and Emory University

Dr. Wang’s primary research interest is translational biomedical and health informatics in systems medicine and health monitoring. Her research team performs clinical biomarker quality control and analysis; molecular and cellular imaging quantification; and bio-molecular pathway modeling and visualization. As corresponding author, Prof. Wang has published in journals such as Annals of Biomedical Eng, BMC Bioinformatics, Trends in Biotechnology, Nature Protocols, Proceedings of National Academy of Sciences, and Annual Review of Medicine. With Microsoft Research and Hewlett Packard Corp as industrial partners, Dr. Wang has played an essential role in Emory-Georgia Tech NCI Center for Cancer Nanotechnology Excellence (CCNE), and is the Director for Bioinformatics and Biocomputing Core. Her team has developed multiple bioinformatics software systems. Two tools, caCORRECT and omniBiomarker have been certified by National Cancer Institute (NCI/NIH) cancer Biomedical Informatics Grid (caBIG) as silver-level compatible (https://cabig.nci.nih.gov/tools/caCorrect/ and https://cabig.nci.nih.gov/tools/Omnibiomarker). In addition, she has been active in FDA-led Microarray Data Analysis and Next Generation Sequencing consortium (MAQC).
Dr. Wang received Distinguished Cancer Scholar Award from Georgia Cancer Coalition in 2004, an Outstanding Undergraduate Research Faculty Mentor Award from Georgia Tech in 2005, and an Outstanding Service Award from IEEE BIBE in 2007. Dr. Wang received Ph.D.EE, multidisciplinary MS degrees (EE, Applied Math, and CS) from Georgia Tech in USA, and BEng from Tsinghua University in China. In addition, Dr. Wang has ~4 years of industrial R&D experience in the former AT&T Bell Labs, Intel Architecture Labs, Hughes Research Labs, Lucent Technologies Bell Labs, and Agere Systems.

Speech title:
Integrated Biomedical and Health Informatics for Personalized Healthcare

Abstract:
Genomics is essential for individual health; imaging plays a critical role in modern clinical diagnosis and treatment; and nanotechnologies open the doors for future molecular medicine. These technologies generate various types of data at different scales. One example is (1) to discover the genetic and protein bio-molecular signatures (biomarkers) that diagnose and treat disease based on the molecular profiles of each individual; (2) to link them with bioconjugated nanoparticles (e.g. semiconductor quantum dots and iron oxide nanocrystals) for disease imaging and targeted therapeutics; and then (3) to analyze the resulting data for interpretation (Wang and coworkers,Trends in Biotech. 27, 350-358, 2009). In this talk, I will present the integrated biomedical and health informatics framework that manages and analyzes a variety of data generated from biology and clinics, nanotechnology, and information technology (Bio-Nano-Info Integration) for personalized medicine and healthcare. We establish a high-speed biocomputing and data storage infrastructure that manages and processes heterogeneous data of multi-level (i.e. molecular, cellular, organ, and whole body). Among more than a dozen of informatics systems researched and developed, one suite is for clinical genomics. This suite includes (i) caCORRECT that improves genomics data quality, (ii) omniBiomarker that identifies biomarkers from high throughput –omic data based on clinical knowledge, (iii) ArrayWiki that manages biomarker knowledge dynamically, and (iv) Q-IHC that quantifies multiplex in vitro diagnostic imaging data. To improve system interoperability, we have also been working with NIH. For example, “caCORRECT” (https://cabig.nci.nih.gov/tools/caCorrect/) and “omniBiomarker” (https://cabig.nci.nih.gov/tools/Omnibiomarker) have completed multi-step rigorous review by NIH/NCI cancer Biomedical Informatics Grid (caBIG), and have received caBIG silver-level compatibility certification in 2009. Two other informatics systems, omniSpect and omniVisGrid, which focus on multiplex nanoparticle imaging quantification and a grid-based molecular data and information visualization service, are under review by NCI caBIG now. The NCI certification would make the systems available to more users in US and around the world. In addition, we have been working with FDA to research the data analysis protocol for microarray (MAQC).

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  Lolan SONG
Senior Director of University Relations Microsoft Research Asia

Ms. Lolan Song is a Senior Director at Microsoft Research Asia responsible for academic collaboration in the Asia-Pacific region.

As Microsoft's fundamental research arm in the Asia Pacific region, building long-term and mutually beneficial relations with academia is vital to Microsoft Research. Lolan Song leads a regional team with members based in Australia, China, Japan, Korea, and Taiwan engaging universities, research institutes, and certain relevant government agencies. She establishes strategies and directions, identifies business opportunities; designs various programs and projects, and manages a multi-million dollar budget and operation. Her team works with students, researchers, faculty members, and university administrators to build strong partnership and also works closely with the groups at Microsoft Research Asia.

Lolan Song joined Microsoft in Redmond Washington in 1994 as a systems engineer. She worked in Tokyo Japan for more than 5 years and in Redmond United States for 5 years before moved to Beijing China in 2004. Prior to her current role, Lolan Song worked in various positions at Microsoft ranging from systems engineer for business applications, IT manager for the Asia-Pacific region, senior program manager for a large-scale data mining system, to the business manager for a global technical online community program. Before joining Microsoft, Lolan Song worked on software development for companies of small start-up and large health insurance in the United States.

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  Dr. Wen-Lian HSU
Institute of Information Science Academia Sinica

Wen-Lian Hsu received a B.S. from the Department of Mathematics, National Taiwan University, a Ph.D. in operations research from Cornell University. He was a tenured associate professor in Northwestern University before joining the Institute of Information Science in Academia Sinica as a research fellow in 1989. Dr. Hsu's earlier contribution was on graph algorithms. Most of his publications appeared in JACM and SIAM J. Computing. In the meantime, he applied similar techniques to tackle computational problems in biology and natural language.
Dr. Hsu is the inventor of the popular Chinese Input Method GOING in 1993, which is now used by over 1 million users daily in Taiwan. His lab has won many international contests in natural language systems, including: the 1st place in the BioCreAtIvE II.5 Interactor Normalization Task in 2009, the 1st place in the NTCIR6 2006 CLQA Chinese Question Answering Contest; the 1st place in NTCIR6 2006 CLQA English-to-Chinese Cross-Lingual Question Answering Contest; the 1st place in NTCIR5 2005 CLQA Chinese Question Answering Contest; the 1st place in SIGHAN 2006 Word Segmentation Contest; the 2nd place in SIGHAN 2006 Named Entity Recognition Contest. He is particularly interested in applying natural language processing techniques to the understanding of DNA sequences as well as protein sequences, structures and functions and also to biological literature mining. Dr. Hsu received many awards from the National Science Council, including the Distinguished Research Award in 1991, 1994, 1996 and the Appointed Distinguished Research fellow Award in 2005. He received the first K. T. Li Research Breakthrough Award in 1999, the IEEE Fellow in 2006, and the Teco Award in 2008. He was the president of the Artificial Intelligence Society in Taiwan from 2001 to 2002. He is currently the Director of the TIGP Bioinformatics Program in Academia Sinica.

Speech title:
Data and Text Mining in Electronic Health

Abstract:
In today’s health environment, clinical information concerning a patient may be stored in a wide variety of electronic systems. Thus, it is important to aggregate and exchange information from these systems to provide better healthcare. Date mining (DM) techniques can be used discover interesting patterns and knowledge from electronic health records (HER) to monitor health status and to make more accurate diagnosis. We shall illustrate several applications applying DM to electronic health related data, such as ECG, blood tests, ultrasounds in laboratories, X-rays and etc. These applications include: hybrid data mining approaches for prevention of drug dispensing errors; development of a vital sign data mining system for chronic patient monitoring; and an integrated data mining system for patient monitoring with applications on asthma care.
On the other hand, information retrieval and nature language processing (NLP) techniques can be developed to overcome two major barriers in consolidating clinical information: 1. the same concepts are expressed in different electronic sources by different people; 2. the distribution of useful information among many disparate systems. Reconciling different medical terms requires a unified, controlled medical vocabulary. It should allow clinicians to use personal terminology preferences while still permitting information to be mapped into the standard vocabulary to be processed consistently across institutions.

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  Prof. Desok KIM
KAIST

Desok Kim, Ph.D. is assistant professor at the Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea. He has been developing imaging and signal processing software in collaboration with clinical and basic science research groups, focusing on Cancer Pathology and Cardiology. Before joining KAIST, he was a senior developer at Applied Imaging Inc. (now Genetix, UK), participating in the developement of numerous microscopic imaging solutions for Cytogenetics and Oncopathology applications. He earned his Ph.D. in Biomedical Engineering and continued his post doctoral fellowship under the joint apppointment with Surgery and Pathology at the Univ of North Carolona, Chapel Hill, NC.

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  Dr. Jimmy LIU Jiang
A*STAR

Dr. Jimmy Liu graduated from University of Science and Technology China and School of Computing, National University of Singapore. During the past 22 years, he had worked for Singapore Government Linked Companies, Multi-national corporations as well as Singapore local enterprises holding technical development and management positions. In the past 6 years, Jimmy focused his research on medical imaging. He is heading the Feature and Segmentation Group and Intelligent Medical Imaging Group (iMED)in I2R, A*Star. Jimmy is working on MRI, CT, Retina medical image processing as well as medical image based Computer Assisted Diagnosis (CAD)/Computer Aided Surgery (CAS). He is the adjunct Research Scientist in Singapore National Eye Research Institute in Singapore General Hospital, and supervising Ph.D. students from National University of Singapore and Nanyang Technology University Singapore.

Speech title:
E-Health and Medical Imaging Research in I2R

Abstract:
Dr. Jimmy Liu will introduce Singapore, A*Star and institute for Infocomm Research (I2R)'s research activities, and I2R's E-health research program. He will also present iMED (intelligent Medical Imaging Group, 19 full time research staff) and current medical imaging research projects with hospitals.

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  Prof. Testuya MATSUDA
Kyoto University

Tetsuya Matsuda’s research interests include Application of Magnetic Resonance Imaging and Computer Modeling of Heart.
Tetsuya is currently a Professor, Department of Systems Sciences, Graduate School of Informatics, Kyoto University. He received his M.D. and Ph.D. degrees at Kyoto University, Japan, in 1981 and 1988. He received his M.D. degree at Faculty of Medicine, Kyoto University, in 1981 and Ph.D. degree at Graduate School of Medicine, Kyoto University, in 1988. From 1988 to 1990 he worked as a visiting research fellow at Cardiovascular NMR center, University of Alabama at Birmingham. He has been in charge of Biomedical Engineering Laboratory at Graduate School of Informatics, Kyoto University since 2000.
He began his research career as a cardiologist focusing on the development and clinical application of flow and motion measurements for cardiovascular MRI. After moving to Graduate School of Informatics, he expanded his interests to cover computer modeling of cardiac mechanics and application of MRI to basic medical sciences such as embryology, biomechanics and molecular imaging.
Dr. Matsuda is member of various Scientific Societies and has served on several conference and program committees. He is currently a board member of Japanese Society of Magnetic Resonance in Medicine. He also served as an associated Editor of Journal of Cardiovascular Magnetic Resonance and a reviewer of several scientific journals. He was honored Cum Laude Research Award, Society of Computed Body Tomography, U.S.A. 1990, Ogino Award, Japan Society of Medical Electronics and Biomedical Engineering, 1994 and Best Research Award, Symposium on Biomedical Engineering, Japanese Society for Medical and Biological Engineering, 2007.

Speech title:
Application of MRI to Basic Medical Sciences

Abstract:
Among several medical imaging modalities such as ultrasound, nuclear medicine, and X-ray computed tomography, magnetic resonance imaging (MRI) has already been used for wide range of clinical medicine. Since MRI has unique aspects of microscopic imaging potential and capability to acquire several indices of objects such as chemical conditions, electromagnetic properties, and motion in addition to the measurement of simple morphology, MRI is expected to contribute to basic medical sciences. In my laboratory, several trials of MRI research applicable to basic medicine are being carried out. Those are construction of a 3D image database of human embryo by using a huge collection of samples at Congenital Anomaly Research Center, Kyoto University, measurement of elastic property of human tissues, and assessment of original molecular imaging probes for further advances of embryology, biomechanics, and pathology. In this talk, our preliminary results of MRI research applied to basic medical sciences are presented.

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  Kristin M. Tolle, Ph.D.

Kristin M. Tolle, Ph.D. is Director for Microsoft External Research in the Health and Wellbeing team specializing in devices, sensors and mobility solutions for healthcare.  Since joining Microsoft, Dr. Tolle has applied for several patents and worked for several product teams including the Natural Language Group, Visual Studio, and Excel.  Prior to joining Microsoft, Kristin was an Oak Ridge Science and Engineering Research Fellow for the National Library of Medicine and a Research Associate at the University of Arizona Artificial Intelligence Lab managing the group on medical information retrieval and natural language processing.  She earned her Ph.D. in Management of Information Systems with a minor in Computational Linguistics.  Her research interests include, natural language processing, automatic ontology capture, medical data mining, medical data confidentiality, body sensors, body sensor networks, and medical information retrieval.  Her External Research funding activities include computational challenges associated with genome-wide association studies (GWAS) and devices, sensors and mobility as technologies for the enablement of global public healthcare.

Abstract:
Dr. Tolle will describe two projects designed to improve and enable cancer research funded by Microsoft Research. The first is a system that facilitates all classes of clinical trials and makes them accessible via the Internet. The system enables both the matching of subjects to trials and the creation of a Internet available database of candidate subjects. The second project discusses enabling access for a broader number of cancer researchers to a large-scale multi-media databank maintained by the National Cancer Institute called caBIG. The project provide a new and simplified middle-later for accessing the data alongside a rich set of tutorials to assist users in adopting and using the system.

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  Prof. Shangkai GAO
Tsinghua University

Shangkai Gao graduated from the Department of Electrical Engineering of Tsinghua University, Beijing, China, in 1970, and received the M.E. degree of biomedical engineering in 1982 in same department of Tsinghua University, Beijing, China. She has been working in Tsinghua University since 1970. She is currently a professor of the Department of Biomedical Engineering, Tsinghua University. Her research interests include biomedical signal and image processing, especially the study of brain-computer interface. She has been elected as IEEE Fellow in 2007 for her contributions to the study of brain-computer interface. She is now the associate editor of IEEE Transactions on Biomedical Engineering and the editorial board member of Physiological Measurement, Journal of Neural Engineering and so on.

Speech title:
Brain-computer interface and its potential applications

Abstract:
Brain-computer interfaces (BCI) support direct communication and control between brain and external devices without any use of peripheral nerves and muscles. It provides a new augmentative technology for those people with severe motor disabilities to convey their intents or to control surrounding devices. Electroencephalogram (EEG) based BCI is a non-invasive technology and probably the most acceptable system for various users. This talk will introduce the basic principle, methods and system realizations of EEG based BCIs. Also, the potential applications of BCI will be presented.

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  Prof. Jim Warren
University of Auckland

Jim Warren is Professor of Health Informatics at The University of Auckland where he holds a joint appointment between the Department of Computer Science and the School of Population Health. He is Chief Scientist for the University's National Institute for Health Innovation. He is also Chair of Health Informatics New Zealand. Jim's research interests centre on innovative use of health IT for chronic condition management, including improving the performance of the traditional health system (e.g., analysis of electronic prescribing records to identify suboptimal patient management) and consumer empowerment (e.g., supporting user health information search). From 1993 to 2005 he worked for the University of South Australia where he founded a Health Informatics Laboratory. He is a Foundation Fellow of the Australasian College of Health Informatics. He has a Bachelor of Science in Computer Science and PhD in Information Systems, both from the University of Maryland.

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  Prof. TH Lam

Professor TH Lam graduated from the Faculty of Medicine, The University of Hong Kong with the MBBS degree in 1975. He got an MSc degree in medical sociology and an MSc degree in occupational medicine in 1980 and 81 respectively from The University of London. He obtained his MD degree by research from The University of Hong Kong in 1988. He is Chair Professor and Head of the Department of Community Medicine, The University of Hong Kong since 2000. He is Director of Public Health Research Centre as from July 2004. He was appointed Sir Robert Kotewall Professorship in Public Health, LKS Faculty of Medicine, University of Hong Kong in December 2007. He is Director of the School of Public Health since August 2009.
Professor Lam is a fellow of the Australasian Faculty of Occupational Medicine, the UK Faculty of Public Health, The London Faculty of Occupational Medicine, The Hong Kong Academy of Medicine (Community Medicine) and The Royal College of Physicians of Edinburgh. Professor Lam was President of the Hong Kong College of Community Medicine from 1997 to 2001. He was Vice-Chairman of Hong Kong Council on Smoking and Health and Co-Chair of Grant Review Board, Research Council, Health, Welfare and Food Bureau of the Hong Kong SAR Government. He was appointed Justice of Peace in July 2005 and conferred Honorary Fellowship of Hong Kong College of Community Medicine in September 2008.
He has been appointed by the World Health Organization as short-term consultant, temporary advisor or expert participant for about ten occasions.
Main research interests
Professor Lam’s research interests include occupational and environmental health, family planning and youth sexuality, adolescent health, epidemiology of cancer, infectious diseases, cardiovascular and respiratory diseases and their risk factors, molecular epidemiology, health services research with a major focus on tobacco and other lifestyle related diseases. He has published about 370 papers in international peer reviewed journals.
Achievements in tobacco control
Professor TH Lam is one of the world's leading scientists on the subject of smoking and health and tobacco control. His scientific contributions have been translated into important benefits to public health and tobacco control internationally. Since his first major paper on smoking, passive smoking and lung cancer in 1987, he has published on tobacco control related areas, more than 120 papers in international peer reviewed journals. He has contributed to four WHO reports, on secondhand smoke and child health, policy recommendations for smoking cessation, adherence to long term therapies, and smokefree policies, and one IARC report on reversal of risk after quitting. He is the lead researcher of numerous research projects and his publications cover a wide range of important areas, including health hazards and economic costs of smoking and passive smoking, youth smoking, role of health professionals in tobacco control and training, smoking cessation and public opinion surveys.

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  Prof. Hong-Gee, Kim
Seoul National University

Hong-Gee Kim is an associate professor of medical informatics and the director of Biomedical Knowledge Engineering Lab at Seoul National University. He also holds an adjunct professorship in the college of engineering and informatics at the National University of Ireland, Galway. He was previously a professor of MIS in a business school. His primary research efforts are in building real world applications by using ontology and semantic technologies in the e-Health domain. He is currently leading various research projects concerning a semantic terminology server for electronic health record systems, a semantic search engine on the cloud computing environment, and a social semantic digital library system. He published approximately 100 academic papers. Hong-Gee Kim completed his M.S. and Ph.D. in Artificial Intelligence and Philosophy from the University of Georgia and his B.S. in Psychology from Korea University.

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  Dr. Kendall Ho
Faculty of Medicine
University of British Columbia

Dr. Kendall Ho is a practicing emergency medicine specialist. He is the founding Director, eHealth Strategy Office, University of British Columbia Faculty of Medicine. He was the immediate past Associate Dean of the Division of Continuing Professional Development and Knowledge Translation (UBC CPD-KT) up until February 2008. He is a member of the Royal College of Physicians and Surgeons of Canada’s Professional Development Committee. He is the executive director of the Technology Enabled Knowledge Translation Investigative Centre (TEKTIC) interdisciplinary research team in B.C.
Dr. Ho chairs the International Universitas 21 Interprofessional eHealth Steering Committee, and the United Nations Millennium Development Goals Education Steering Committee in the same organization. In that capacity, he works with a consortium of Health Sciences Faculties and Departments in the training and education of UN MDGs to health professional trainees. He is the Vice President of the International Association of Humanitarian Medicine. He is a collaborator with the World Health Organization eHealth Observatory.
Dr. Ho’s academic and research interests fall into the domain of technology enabled knowledge translation (TEKT) – the use of information technologies to accelerate the incorporation of latest health evidence into routine practice. Specific directions within TEKT include telehealth, information and communication technologies (ICT) and patient safety, ICT and public engagement, and evidence based policy translation in eHealth. He is a recipient of a number of provincial, national, and international research grants in eHealth and eLearning, and has published related papers and textbook chapters in these subjects.

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