IEEE ISM Keynote & Plenary Speakers

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Henry Fuchs (NAE member, ACM/IEEE/AAAS Fellow)

Federico Gil Distinguished Professor, University of North Carolina at Chapel Hill, USA

 

Keynote Talk Title: The Coming Revolution in Virtual Reality: a Historical Perspective

Time: 8:30-9:30, Monday, Dec. 14, 2015

 

Abstract:

VR emerged into popular consciousness in the past year as the “next big thing.” VR may radically transfrom everything from spirituality to surgery. To gain some insight, it may be useful to consider the factors that differentiate the current VR boom from the previous one in the 1990s.  The recent availability of high-resolution displays for mobile devices has enabled inexpensive high quality head-mounted displays, which promise a vast market for VR. Such dramatic market growth, millions rather than thousands of units, may give rise to an entire ecosystem of researchers, developers, and manufacturers of hardware devices and software applications – a spiral of goodness leading to ever-improving technology, historically similar to the development of microprocessors, PCs, and smart phones.  Or the hype may create a bubble that bursts from unmet expectations. A historical perspective may help.

 

Biography:

Henry Fuchs (PhD, University of Utah, 1975) is the Federico Gil Distinguished Professor of Computer Science and Adjunct Professor of Biomedical Engineering at University of North Carolina at Chapel Hill. He is one of three co-directors (together with Nadia Magnenat-Thalmann and Markus Gross) of the BeingThere International Research Center in Telepresence, collaboration between ETH Zurich, NTU Singapore, and UNC Chapel Hill. Active in computer graphics since the 1970s, Fuchs has coauthored over 200 papers on a variety of topics, including rendering algorithms (BSP Trees), graphics hardware (Pixel-Planes), virtual environments, telepresence, medical and training applications. He is a member of the National Academy of Engineering, a fellow of the American Academy of Arts and Sciences, recipient of the 1992 ACM SIGGRAPH Achievement Award and the 2013 IEEE VGTC Virtual Reality Career Award, and most recently the 2015 ACM SIGGRAPH Steven Anson Coons Award for lifetime achievement in computer graphics.

 

Aggelos Katsaggelos (IEEE/SPIE Fellow)

Professor, AT&T Research Chair

Northwestern University, USA

 

Keynote Talk Title: Learning for Future Video

Time: 8:30-9:30, Tuesday, Dec. 15, 2015

 

Abstract:

Learning has made it possible to unleash the power of data.  We have moved away from the detailed modeling of a system or a phenomenon of interest thanks to the abundance of data as well as the huge improvements in processing power. With approaches like dictionary learning we can discover linear relationships between the input and output. On the other hand, recent advancements in deep learning have made it possible to discover non-linear relationships.  As one of the examples in this talk we discuss the application of dictionary and deep learning to the video super-resolution problem.  We describe a multiple-frame algorithm based on dictionary learning and motion estimation. We further describe the use of a convolutional neural network that is trained on both the spatial and temporal dimensions of videos to enhance their resolution. We demonstrate experimentally the effectiveness of these approaches.  We finally discuss future research directions on the topic of learning.

 

Biography:

Aggelos K. Katsaggelos received the Diploma degree in electrical and mechanical engineering from the Aristotelian University of Thessaloniki, Greece, in 1979, and the M.S. and Ph.D. degrees in Electrical Engineering from the Georgia Institute of Technology, in 1981 and 1985, respectively.

In 1985, he joined the Department of Electrical Engineering and Computer Science at Northwestern University, where he is currently a Professor holder of the AT&T chair.  He was previously the holder of the Ameritech Chair of Information Technology (1997–2003). He is also the Director of the Motorola Center for Seamless Communications, a member of the Academic Staff, NorthShore University Health System, an affiliated faculty at the Department of Linguistics and he has an appointment with the Argonne National Laboratory.

He has published extensively in the areas of multimedia signal processing and communications (over 250 journal papers, 500 conference papers and 40 book chapters) and he is the holder of 25 international patents. He is the co-author of Rate-Distortion Based Video Compression (Kluwer, 1997), Super-Resolution for Images and Video (Claypool, 2007), Joint Source-Channel Video Transmission (Claypool, 2007), and Machine Learning, Optimization, and Sparsity (Cambridge University Press, forthcoming).  He has supervised 50 Ph.D. theses so far.

Among his many professional activities Prof. Katsaggelos was Editor-in-Chief of the IEEE Signal Processing Magazine (1997–2002), a BOG Member of the IEEE Signal Processing Society (1999–2001), a member of the Publication Board of the IEEE Proceedings (2003-2007), and he is currently a Member of the Award Board of the IEEE Signal Processing Society. He is a Fellow of the IEEE (1998) and SPIE (2009) and the recipient of the IEEE Third Millennium Medal (2000), the IEEE Signal Processing Society Meritorious Service Award (2001), the IEEE Signal Processing Society Technical Achievement Award (2010), an IEEE Signal Processing Society Best Paper Award (2001), an IEEE ICME Paper Award (2006), an IEEE ICIP Paper Award (2007), an ISPA Paper Award (2009), and a EUSIPCO paper award (2013). He was a Distinguished Lecturer of the IEEE Signal Processing Society (2007–2008).

Jiawei Han (ACM/IEEE Fellow)

Abel Bliss Professor, University of Illinois at Urbana-Champaign, USA

 

Keynote Talk Title: Construction and Mining of Semi-Structured Heterogeneous Information Networks

Time: 13:30-14:30, Tuesday, Dec. 15, 2015

 

Abstract:

The real-world data are largely unstructured but interconnected.   The majority of such data is in the form of natural language text or multimedia forms.  One of the grand challenges is to turn such massive data into actionable knowledge.  In this talk, we present our vision on how to turn massive unstructured, text-rich, but interconnected data into knowledge.  We propose a D2N2K (i.e., data-to-network-to-knowledge) paradigm, that is, first turn data into relatively structured heterogeneous information networks, and then mine such text-rich and structure-rich heterogeneous networks to generate useful knowledge.  We show why such a paradigm represents a promising direction and present some recent progress on the development of effective methods for construction and mining of structured heterogeneous information networks from text data.

 

Biography:

Jiawei Han is Abel Bliss Professor in the Department of Computer Science, University of Illinois at Urbana-Champaign.  He has been researching into data mining, information network analysis, database systems, and data warehousing, with over 600 journal and conference publications. He has chaired or served on many program committees of international conferences, including PC co-chair for KDD, SDM, and ICDM conferences, and Americas Coordinator for VLDB conferences.  He also served as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data and is serving as the Director of Information Network Academic Research Center supported by U.S. Army Research Lab, and Director of KnowEnG, an NIH funded Center of Excellence in Big Data Computing.  He is a Fellow of ACM and Fellow of IEEE, and received 2004 ACM SIGKDD Innovations Award, 2005 IEEE Computer Society Technical Achievement Award, 2009 IEEE Computer Society Wallace McDowell Award.  His co-authored book "Data Mining: Concepts and Techniques" has been adopted as a textbook popularly worldwide.

Bernd Girod (NAE/GNAS member, IEEE/EURASIP Fellow)

Robert L. and Audrey S. Hancock Professor, Stanford University, USA

 

Keynote Talk Title: From Pixels to Information to Augmented Reality

Time: 8:30-9:30, Wednesday, Dec. 16, 2015

 

Abstract:

Terminator vision, i.e., augmenting our visual perception overlaying extra information, continues to present substantial technical challenges, not the least of which is recognizing and tracking what the user sees reliably, accurately, and in real-time. We review recent advances of algorithms and applications that retrieve information from large databases using images as queries. Remarkable improvements have been achieved over the course of the MPEG-CDVS (Compact Descriptors for Visual Search) standardization. Beyond CDVS lie techniques that continually match video frames against image databases and promise another leap in performance.

 

Biography:

Bernd Girod is the Robert L. and Audrey S. Hancock Professor of Electrical Engineering at Stanford University, California. Until 1999, he was a Professor in the Electrical Engineering Department of the University of Erlangen-Nuremberg. His research interests are in the area of image, video, and multimedia systems. He has published over 600 conference and journal papers and 6 books, receiving the EURASIP Signal Processing Best Paper Award in 2002, the IEEE Multimedia Communication Best Paper Award in 2007, the EURASIP Image Communication Best Paper Award in 2008, the EURASIP Signal Processing Most Cited Paper Award in 2008, as well as the EURASIP Technical Achievement Award in 2004 and the Technical Achievement Award of the IEEE Signal Processing Society in 2011. As an entrepreneur, Professor Girod has worked with numerous startup ventures, among them Polycom, Vivo Software, 8x8, and RealNetworks. He received an Engineering Doctorate from University of Hannover, Germany, and an M.S. Degree from Georgia Institute of Technology. Prof. Girod is a Fellow of the IEEE, a EURASIP Fellow, a member of the German National Academy of Sciences (Leopoldina), and a member of the National Academy of Engineering. He currently serves Stanford’s School of Engineering as Senior Associate Dean at Large.

Hanan Samet (ACM/IEEE/AAAS/IAPR Fellow)

Distinguished University Professor, University of Maryland, USA

 

Keynote Talk Title: Reading News with Maps by Exploiting Spatial Synonyms

Time: 13:30-14:30, Wednesday, Dec. 16, 2015

 

Abstract:

NewsStand is an example application of a general framework to enable people to search for information using a map query interface, where the information results from monitoring the output of over 10,000 RSS news sources and  is available for retrieval within minutes of publication.  The advantage of doing so is that a map, coupled with an ability to vary the zoom level at which it is viewed, provides an inherent granularity to the search process that facilitates an approximate search. This distinguishes it from today's prevalent keyword-based conventional search methods that provide a very limited facility for approximate searches and which are realized primarily by permitting a match via use of a subset of the keywords.  However, it is often the case that users do not have a firm grasp of which keyword to use, and thus would welcome the search to also take synonyms into account.  For queries to spatially-referenced data, the map query interface is a step in this direction as the act of pointing at a location (e.g., by the appropriate positioning of a pointing device) and making the interpretation of the precision of this positioning specification dependent on the zoom level is equivalent to permitting the use of spatial synonyms (i.e., letting spatial proximity play a role rather than only seeking an exact match of a query string).  Of course, this is all predicated on the use of a textual specification of locations rather than a geometric one, which means that one must deal with the potential for ambiguity. 

 

The issues that arise in the design of a system like NewsStand, including the identification of words that correspond to geographic locations, are discussed, and examples are provided of its utility. More details can be found in the video at http://vimeo.com/106352925 which accompanies the "cover article'' of the October 2014 issue of the Communications of the ACM about News Stand at http://tinyurl.com/newsstand-cacm or a cached version at http://www.cs.umd.edu/~hjs/pubs/cacm-newsstand.pdf.

 

Biography:

Hanan Samet (http://www.cs.umd.edu/~hjs/) is a Distinguished University Professor of Computer Science at the University of Maryland, College Park and is a member of the Institute for Computer Studies.  He is also a member of the Computer Vision Laboratory at the Center for Automation Research where he leads a number of research projects on the use of hierarchical data structures for database applications, geographic information systems, computer graphics, computer vision, image processing, games, robotics, and search.  He received the B.S. degree in engineering from UCLA, and the M.S. Degree in operations research and the M.S. and Ph.D. degrees in computer science from Stanford University. His doctoral dissertation dealt with proving the correctness of translations of LISP programs which was the first work in translation validation and the related concept of proof-carrying code. 

 

He is the author of the recent book "Foundations of Multidimensional and Metric Data Structures" (http://www.cs.umd.edu/~hjs/multidimensional-book-flyer.pdf) published by Morgan-Kaufmann, an imprint of Elsevier, in 2006, an award winner in the 2006 best book in Computer and Information Science competition of the Professional and Scholarly Publishers (PSP) Group of the American Publishers Association (AAP), and of the first two books on spatial data structures "Design and Analysis of Spatial Data Structures", and "Applications of Spatial Data Structures: Computer Graphics, Image Processing, and GIS", both published by Addison-Wesley in 1990.  He is the Founding Editor-In-Chief of the ACM Transactions on Spatial Algorithms and Systems (TSAS), the founding chair of ACM SIGSPATIAL, a recipient of a Science Foundation of Ireland (SFI) Walton Visitor Award at the Centre for Geocomputation at the National University of Ireland at Maynooth (NUIM), 2009 UCGIS Research Award, 2010 CMPS Board of Visitors Award at the University of Maryland,  2011 ACM Paris Kanellakis  Theory and Practice Award, 2014 IEEE Computer Society Wallace McDowell Award, and a Fellow of the ACM, IEEE, AAAS, IAPR (International Association for Pattern Recognition), and UCGIS (University Consortium for Geographic Science).  He received best paper awards in the 2007 Computers & Graphics Journal, the 2008 ACM SIGMOD and SIGSPATIAL ACMGIS Conferences, the 2012 SIGSPATIAL MobiGIS Workshop, and the 2013 SIGSPATIAL GIR Workshop, as well as a best demo award at the 2011 SIGSPATIAL ACMGIS'11 Conference.

 

His paper at the 2009 IEEE International Conference on Data Engineering (ICDE) was selected as one of the best papers for publication in the IEEE Transactions on Knowledge and Data Engineering.  He was elected to the ACM Council as the Capitol Region Representative for the term 1989-1991, and is an ACM Distinguished Speaker.

 

 

Plenary Forum I: Opportunities and Challenges in Machine Intelligence

Time: 14:30-15:30, Tuesday, Dec. 15, 2015

 

Plenary Speakers:

   Dr. Li Deng, Microsoft, USA   (IEEE/ASA/ISCA Fellow)

   Dr. Alexander C. Loui, Kodak Alaris, USA  (IEEE Fellow)

   Dr. John Smith, IBM, USA   (IEEE Fellow)

   Dr. J. K. Aggarwal, University of Texas at Austin, USA (IEEE/IAPR/AAAS Fellow)

 

Moderator: Dr. Irene Cheng, Scientific Director, University of Alberta, Canada

Li Deng received the Ph.D. degree from the University of Wisconsin-Madison. He was an assistant professor (1989-1992), tenured associate professor (1992-1996) and Full Professor (1996-1999) at the University of Waterloo, Ontario, Canada. In 1999, he joined Microsoft Research, Redmond, USA, where currently he leads R&D of application-focused deep learning as Partner Research Manager of its Deep Learning Technology Center. Since 2000, he has also been Affiliate Full Professor at the University of Washington, Seattle, Prior to joining Microsoft, he also conducted research and taught at Massachusetts Institute of Technology, ATR Interpreting Telecom. Research Lab. (Kyoto, Japan), and HKUST. He has been granted over 70 US or international patents.

 

In the general areas of audio/speech/language technology, machine learning, signal and information processing, he has published over 300 refereed papers in leading journals and conferences, and authored or co-authored 5 books including the latest books on Deep Learning: Methods and Applications and on Automatic Speech Recognition: A Deep-Learning Approach (Springer). He is a Fellow of the Acoustical Society of America, a Fellow of the IEEE, and a Fellow of the International Speech Communication Association. He served on the Board of Governors of the IEEE Signal Processing Society (2008-2010). More recently, he served as Editor-in-Chief for the IEEE Signal Processing Magazine (2009-2011), as General Chair of the IEEE ICASSP-2013, and as Editor-in-Chief for the IEEE Transactions on Audio, Speech and Language Processing (2012-2014). His technical work since 2009 and leadership in industry-scale deep learning with colleagues have created high impact in speech recognition and other areas of information processing. The work by him and the team he manages has been in use in major Microsoft speech products and in several text/data-related products, and is recognized by the 2013 IEEE SPS Best Paper Award, Microsoft Goldstar and Technology Transfer Awards. His recent research interests and activities have been focused on deep learning and machine intelligence applied to large-scale text analysis and to speech/language/image multimodal processing.

 

Alexander C. Loui obtained his B.A.Sc. (Honors), M.A.Sc, and Ph.D. all in Electrical Engineering from the University of Toronto, Canada. After completing his Ph.D. in 1990, he joined Bellcore in New Jersey as a Member of Technical Staff working on audiovisual compression, multipoint video conferencing, and video-on-demand technologies. In 1996, he joined the Network Imaging Technology Center of Eastman Kodak Company, Rochester NY. He joined the Image Science Division at Kodak Research Labs as a Principal Scientist and technical group leader in 1998. In 2007 he became a Principal Investigator at the Computational Science and Technology Lab at Kodak. He is currently a Senior Principal Scientist and Technical Lead at Kodak Alaris (a spin-off company from Kodak).

 

Dr. Loui has been directing research on multimedia processing and content recognition, video analysis and summarization, digital image management, event detection, and machine vision applications. He has published over 90 refereed papers in these areas. He is also an Adjunct Professor of the ECE Department at Ryerson University and University of Toronto.

 

Dr. Loui has served as an associate editor of the IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, and SPIE Journal of Electronic Imaging. He has been an elected member of the IEEE ICME Steering Committee, MMSP and MSA Technical Committees. He was Chair (2010-11) of the IEEE Rochester Section and Chair (2005) of the Rochester Chapter of IEEE Signal Processing Society. Dr. Loui has received a number of awards from Kodak and the R&D community for innovative research on auto-albuming and image management technologies. He is a Kodak Distinguished Inventor (with over 70 granted US patents) and a Fellow of IEEE and SPIE.

Dr. John R. Smith is Senior Manager, Intelligent Information Management Dept, IBM T. J. Watson Research Center. He leads IBM’s research in multimedia information retrieval including image/video content extraction, multimedia content-based search, video event detection and retrieval, and social media analysis. Dr. Smith is currently principal investigator for IBM Multimedia Analysis and Retrieval System (IMARS), which has been recognized by multiple awards including a Wall St. Journal innovation award. Dr. Smith is a long-time participant in the NIST TRECVID video retrieval evaluation and co-led the development of the Large Scale Concept Ontology for Multimedia (LSCOM), which has been incorporated into multiple TRECVID tasks since 2006. Dr. Smith earlier served as Chair, MPEG Multimedia Description Schemes Group from 2000-2004 and led the development of multiple parts of the MPEG-7 Multimedia Content Description Standard and MPEG-21 Digital Framework Standard. Dr. Smith also previously served as co-project Editor of MPEG-7 Multimedia Description Schemes and MPEG-7 Conformance specifications. While a student at Columbia University in the mid-1990’s, Dr. Smith conducted some of the earliest work on content-based image search (VisualSEEk) and Web image/video search (WebSEEk), which has been highly influential for researchers and practitioners. Dr. Smith has published more than two hundred papers in leading journals and conferences (14K citations, h-index of 55, i-index of 164). Dr. Smith is currently Editor-in-Chief of IEEE Multimedia and is a Fellow of IEEE.

J.K. Aggarwal has served on the faculty of The University of Texas at Austin College of Engineering in the Department of Electrical and Computer Engineering since 1964. He is currently one of the Cullen Professors of Electrical and Computer Engineering.

Professor Aggarwal earned his B.Sc. from University of Bombay, India in 1957, B. Eng. from University of Liverpool, Liverpool, England, 1960, M.S. and Ph.D. from University of Illinois, Urbana, Illinois, in 1961 and 1964 respectively.

A fellow of IEEE (1976), IAPR (1998), and AAAS (2005) Professor Aggarwal received the Best Paper Award of the Pattern Recognition Society in 1975, the Senior Research Award of the American Society of Engineering Education in 1992 and the IEEE Computer Society Technical Achievement Award in 1996. He is the recipient of the 2004 K. S. Fu Prize of the IAPR, the 2005 Leon K. Kirchmayer Graduate Teaching Award of the IEEE, and the 2007 Okawa Prize of the Okawa Foundation of Japan. He is the author or editor of 7 books and 52 book chapters, author of over 200 journal papers, as well as numerous proceeding papers and technical reports.

Dr. Irene Cheng is the Scientific Director of the Multimedia Research Center, the Director of the Master with Specialization in Multimedia Program, an Adjunct Professor in the Faculty of Science, as well as the Faculty of Medicine & Dentistry, University of Alberta, Canada. She is also a Research Affiliate with the Glenrose Rehabilitation Hospital in Alberta, Canada. She received the Outstanding Leadership Award from IEEE Communications Society MMTC in 2014. She is an Associate Editor of the IEEE Transactions on Human-Machine Systems. In 2011, she was one of the highest ranked Visiting Professor invited by INSA de Lyon, France and was awarded the Mobility Fund by the Science & Technology Service, French Embassy, in 2012. She received the University of Alberta Alumni Horizon Award in 2008. She was a Co-founder of the IEEE SMC Society, Human Perception in Multimedia Computing (2011-2013) Technical Committee; was the Chair of the IEEE Northern Canada Section, Engineering in Medicine and Biological Science (EMBS) Chapter (2009-2011), and the Chair of the IEEE Communications Society MMTC 3D Processing, Rendering and Communication Interest Group (2010-2012), was the Director of the Review-Letter Editorial Board of MMTC (2012-2014). She has been active in many professional organizational roles, which include General Chair (IEEE ICME 2011), Technical Program Chair (ICME 2013) and Technical Program Chair (IEEE SMC 2017).

 

 

Plenary Forum II: The Future of Mobile Media and Applications

Time: 14:30-15:30, Wednesday, Dec. 16, 2015

 

Plenary Speakers:

   Dr. Abdulmotaleb El Saddik, Univ. of Ottawa, Canada   (IEEE/CAE/EiC Fellow)

   Dr. Ching-Yung Lin, IBM, USA  (IEEE Fellow)

   Dr. Xiang-Yang Li, IIT, USA  (IEEE Fellow)

 

Moderator: Dr. Shu-Ching Chen, Florida International University, USA (SIRI Fellow)

Abdulmotaleb El Saddik, is Distinguished University Professor and University Research Chair in the School of Electrical Engineering and Computer Science at the University of Ottawa. He is the director of the Multimedia Communications Research Laboratory (MCRLab). He is Associate Editor and Guest Editor of several ACM/IEEE Transactions and Journals. Dr. El Saddik has been the General Chair and/or Technical Program Chair of more than 40 international conferences symposia and workshops He has authored and co-authored three books and more than 400 publications and has supervised more than 100 researchers.

Prof. El Saddik is a Fellow of the IEEE (2009), for his contributions to interactive haptic audio visual systems. He was also elected Fellow of the Canadian Academy of Engineering (2010) and Fellow of the Engineering Institute of Canada (2010). He is the first Canadian in Computer Science & Engineering to receive the very prestigious Friedrich Wilhelm Bessel Award from the German Humboldt Foundation in 2007. He is the recipient of the Ontario Premier's Research Excellence Award (PREA), in 2004 and the National Capital Institute of Telecommunications (NCIT) New Professorship Incentive Award (2004). In 2008 he was appointed an IEEE Distinguished Lecturer, he also received the Professional of the Year Award, from the Canadian Lebanese Chamber of Commerce and Industry for Achievement in the Development of Canada. He has also received five Outstanding/Best Paper Awards. Most recently Dr. El Saddik has been the recipient of the 2010 Association of Computing Machinery (ACM) Distinguished Scientist Award, the 2011 Cátedra de Excelencia from Universidad Carlos III de Madrid, Spain and the 2010 IEEE Instrumentation and Measurement Society Technical Award, which is the highest award of IEEE Instrumentation and Measurement society, for his outstanding contributions to multimedia computing. He received the Faculty of Engineering’s George S. Glinski Award for Excellence in Research for 2012. He also received the 2012 IEEE Ottawa Educator Award and the 2013 IEEE Canada Achievement Award: C.C. Gotlieb (Computer) Medal for important contributions to the field of computer engineering and science.

Dr. Ching-Yung Lin is an IBM Distinguished Research and the IBM Chief Scientist, Graph Computing Research. He is also an Adjunct Faculty in Columbia University since 2005, in NYU in 2014, and in University of Washington 2003-2009. His research interest is mainly on fundamental research of multimodality signal understanding, network science, and computational social & cognitive science. Since 2011, Lin has been leading a team of more than 40 Ph.D. researchers in worldwide IBM Research Labs and more than 20 professors and researchers in 10 universities, including Columbia, Northeastern, Northwestern, CMU, U Minnesota, Rutgers, U New Mexico, UC-Berkeley, Stanford Research Institute, and USC. He is an author of 160+ publications and 20+ issued patents. His team recently won the Best Paper Award in BigData 2013, Best Paper Award in CIKM 2012, and Best Theme Paper Award in ICIS 2011. In 2011, he became the first IEEE Fellow elevated for contributions to Network Science. He is also an Distinguished Lecturer in IEEE 2015-2016.

Dr. Xiang-Yang Li has been Professor, (since 2012), an Associate Professor (since 2006) and Assistant Professor (from 2000 to 2006) of Department of Computer Science at the Illinois Institute of Technology. He was a visiting professor of Microsoft Research Asia from May, 2007 to August 2008. He was a distinguished visiting scientist at TNLIST (Tsinghua National Laboratory for Information Science and Technology), Tsinghua University from 2009-2011. He was also a visiting professor at HongKong Baptist University, and HongKong University of Science and Technology. He was named one of the two "Outstanding Overseas Young Researcher" by National Natural Science Foundation of China in 2008. Dr. Li received MS (2000) and PhD (2001) degree at Department of Computer Science from University of Illinois at Urbana-Champaign. He received a Bachelor degree at Department of Computer Science and Technology, and a minor Bachelor degree at Department of Business Management from Tsinghua University, P.R. China, both in 1995. He was a member of the gifted student class (with 20 students in total) in China prepared for the International Mathematics Olympics (IMO) from 1988 to 1990.

His research interests span the cyber-physical systems, sensor networks, wireless ad hoc networks, social networks, game theory, computational geometry, and cryptography and network security. He has published more than 150 conference papers and about 85 journal articles. His publications include six papers at ACM MobiCom (from 2004 to 2009), five papers at ACM MobiHoc, about 30 papers at IEEE INFOCOM, more than dozen papers at IEEE Transaction on Parallel and Distributed Systems, and more than 5 papers in IEEE/ACM Transactions on Networking. For more information about the list of papers and book chapters by Prof. Li, please see http://www.cs.iit.edu/~xli/publications-select.htm. He graduated a number of PhD students since 2004, and several of them are associate/assistant professors now. His research has been supported by NSF USA, HongKong RGC, and NSF China (as PI or Co-PI, or core team member).

Dr. Li served various positions (as steering committee member, chairs, and TPC members) at numerous international conferences. He is a co-chair of Algorithm Aspect in Information Management conference 2007, and 2011, and a co-chair of the ACM FOWANC workshop (Foundation of Wireless Ad-Hoc Networking and Computing) 2008, TPC co-chair of several conferences. Dr. Li has served as TPC member of numerous conferences, including ACM Mobihoc, ACM MobiCom, IEEE INFOCOM, IEEE ICC, IEEE ICDCS, IEEE ICPP, IEEE MASS and so on. Dr. Li has been invited to serve on the panel and/or review research proposals for National Science Foundation (US), National Science Foundation of China, and RGC HongKong. Dr. Li is an editor for IEEE Transaction of Parallel and Distributed Systems (2010 to present), IEEE Transaction of Mobile Computing (2011 to present), editor of "Networks: An International Journal" (2009 to present), and editor of "Ad Hoc & Sensor Wireless Networks: An International Journal" (2005 to present). He has co-organized several special issues of several journals, such as ACM MONET and IEEE Journal of Selected Area in Communications. He recently published a monograph "Wireless Ad Hoc and Sensor Networks: Theory and Applications", by Cambridge University Press. He served as area editor of the book "Encyclopedia of Algorithms", edited by Ming-Yang Kao, Springer publisher. He also co-edited a book "Sensor and Ad-Hoc Networks : Theoretical and Algorithmic Aspects". For more information of research and projects by Dr. Li, please see http://www.cs.iit.edu/~xli.

Shu-Ching Chen is an Eminent Scholar Chaired Professor in Computer Science in the School of Computing and Information Sciences (SCIS), Florida International University (FIU), Miami. He has been a Full Professor since August 2009 in SCIS at FIU. Prior to that, he was an Assistant/Associate Professor in SCIS at FIU from 1999. He received his Ph.D. degree in Electrical and Computer Engineering in 1998, and Master's degrees in Computer Science, Electrical Engineering, and Civil Engineering in 1992, 1995, and 1996, respectively, all from Purdue University, West Lafayette, IN, USA. His main research interests include content-based image/video retrieval, multimedia data mining, multimedia systems, and Disaster Information Management. Dr. Chen was named a 2011 recipient of the ACM Distinguished Scientist Award. He received the best paper award from 2006 IEEE International Symposium on Multimedia. He was awarded the IEEE Systems, Man, and Cybernetics (SMC) Society's Outstanding Contribution Award in 2005 and was the co-recipient of the IEEE Most Active SMC Technical Committee Award in 2006. He is a Fellow of SIRI.