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Keynote: Digital Vellum

Vinton Cerf
Google Inc.

Bio: Vinton G. Cerf is vice president and Chief Internet Evangelist for Google. He contributes to global policy development and continued spread of the Internet. Widely known as one of the "Fathers of the Internet," Cerf is the co-designer of the TCP/IP protocols and the architecture of the Internet. He has served in executive positions at MCI, the Corporation for National Research Initiatives and the Defense Advanced Research Projects Agency and on the faculty of Stanford University. Vint Cerf served as chairman of the board of the Internet Corporation for Assigned Names and Numbers (ICANN) from 2000-2007 and has been a Visiting Scientist at the Jet Propulsion Laboratory since 1998. Cerf served as founding president of the Internet Society (ISOC) from 1992-1995. Cerf is a Foreign Member of the British Royal Society and Swedish Academy of Engineering, and Fellow of IEEE, ACM, and American Association for the Advancement of Science, the American Academy of Arts and Sciences, the International Engineering Consortium, the Computer History Museum, the British Computer Society, the Worshipful Company of Information Technologists, the Worshipful Company of Stationers and a member of the National Academy of Engineering. He has served as President of the Association for Computing Machinery, chairman of the American Registry for Internet Numbers (ARIN) and completed a term as Chairman of the Visiting Committee on Advanced Technology for the US National Institute of Standards and Technology. President Obama appointed him to the National Science Board in 2012. Cerf is a recipient of numerous awards and commendations in connection with his work on the Internet, including the US Presidential Medal of Freedom, US National Medal of Technology, the Queen Elizabeth Prize for Engineering, the Prince of Asturias Award, the Tunisian National Medal of Science, the Japan Prize, the Charles Stark Draper award, the ACM Turing Award, Officer of the Legion d’Honneur and 29 honorary degrees. In December 1994, People magazine identified Cerf as one of that year's "25 Most Intriguing People." His personal interests include fine wine, gourmet cooking and science fiction. Cerf and his wife, Sigrid, were married in 1966 and have two sons, David and Bennett.

Abstract: We create increasing amounts of digital content on a daily basis and store it in a variety of ways: on public cloud systems, on local media (hard drives, CD-ROMs, DVDs, Memory Sticks), on corporate infrastructure. We often think of "bits" as having immortal longevity. After all, "bits" are somehow not material. But, of course, they are represented by magnetic or electrical charges and the media or the readers of the media may not survive over hundreds of years. We have other media such as stone tablets that have lifetimes measured in thousands of years, but not so our digital media. Moreover, the bits we store away, even if we can read them, may lose their meaning if we can't run the sofrtware that produced the bits or knows how to interpret them. If the bits are stored but the meta-data needed to interpret them is lost, the bits may lose their meaning. Are we headed for a Digital Dark Age? That's the question this talk will explore.


Keynote: Exciting Ideas in Computer Science

John Hopcroft
Cornell University

John Hopcroft is the IBM Professor of Engineering and Applied Mathematics in Computer Science at Cornell University. After receiving both his M.S. (1962) and Ph.D. (1964) in electrical engineering from Stanford University, he spent three years on the faculty of Princeton University. He joined the Cornell faculty in 1967, was named professor in 1972 and the Joseph C. Ford Professor of Computer Science in 1985. He was honored with the ACM Turing Award in 1986. He is a member of the National Academy of Sciences, the National Academy of Engineering and a fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science, the IEEE, and the ACM. In 1992, he was appointed by President Bush to the National Science Board, which oversees the National Science Foundation, and served through May 1998. In addition to these appointments, Hopcroft serves as a member of the Scientific Advisory Committee for the David and Lucile Packard Fellowships in Science and Engineering, the SIAM financial management committee, IIIT New Delhi advisory board, Microsoft's technical advisory board for research Asia, the Engineering Advisory Board, Seattle University, and the program committee for Chile Millennium Science Initiative.


Keynote: Game Theory in Economics and FinTech

Andrew Yao
Tsinghua University

Professor Andrew Chi-Chih Yao was born in Shanghai, China. He received a BS in Physics from National Taiwan University, a PhD in Physics from Harvard University, and a PhD in Computer Science from University of Illinois. His research interests include analysis of algorithms, computational complexity, cryptography and quantum computing. From 1975 onward, Professor Yao served on the faculty at MIT, Stanford, UC Berkeley, and during 1986 – 2004, as William and Edna Macaleer Professor of Engineering and Applied Science at Princeton University. In 2004, he left Princeton to become a Professor of Computer Science at Tsinghua University in Beijing. He is now the dean of the Institute for Interdisciplinary Information Sciences, Tsinghua University. Professor Yao was recipient of the ACM Turing Award in year 2000 for his contributions to the theory of computation, including communication complexity, pseudorandom number generation, and quantum communication. He has received numerous other honors and awards, including the George Polya Prize, the Donald E Knuth Prize, and the Pan Wen-Yuan Foundation Research Award. He is a Member of the US National Academy of Sciences, the American Academy of Arts and Sciences, and the Chinese Academy of Sciences. He is also a Fellow of the ACM and the IACR.


Keynote: Evolution of the Artificial Visual System

Wen Gao
Peking University

Wen Gao is a professor in the Department of Computer Science and Technology at Peking University, Beijing, China. He is the founding director of NELVT (National Engineering Lab. on Video Technology) at Peking University. He is also the Chief Scientist of the National Basic Research Program of China (973 Program) on Video Coding Technology from 2009, and the vice president of National Natural Science Foundation of China from 2013. Prof. Gao has been featured by IEEE Spectrum in June 2005 as one of the "Ten To Watch" among China's leading technologists. He served as the chairman of steering committee for intelligent computing system in 863 Hi-Tech Program from 1996 to 2001. He served or serves as the vice chairman of Chinese Association of Image and Graphics, the vice chairman of Chinese Association of Software Industry. He was the Head of Chinese Delegation to the Moving Picture Expert Group (MPEG) of International Standard Organization (ISO) from 1997 to 2011. He is the chair of Audio Video coding Standard (AVS) working group in China, and the chair of IEEE 1857 standard working group. He is a fellow of IEEE, a fellow of ACM, and a member of Chinese Academy of Engineering.


Keynote: In "What" We Trust?

Lionel M. Ni
University of Macau

Prof. Lionel M. Ni has assumed office as the Vice Rector (Academic Affairs) of the University of Macau from January 2015. A world-renowned computer scientist, he is also Chair Professor in the Department of Computer and Information Science. Prior to coming to the University of Macau, he was Chair Professor in the Computer Science and Engineering Department at the Hong Kong University of Science and Technology (HKUST). At HKUST, he served as Department Head (2002 to 2008), Special Assistant to the President (2010 to 2014), Dean of Fok Ying Tung Graduate School (2011 to 2014), and Director of HKUST China Ministry of Education/Microsoft Research Asia IT Key Lab (2004 to 2014). Before coming to HKUST, Professor Ni was a full Professor in Computer Science and Engineering at Michigan State University where he had stayed from 1981 to 2002. He was co-founder and CEO of CC&T Technologies, Inc., Michigan (1998 to 2001) and the program director of the U.S. National Science Foundation Microelectronic Systems Architecture Program (1995 to 1996). Prof. Ni was elevated to the rank of fellow of IEEE in 1994 for his contributions to parallel processing and distributed systems. He won the Michigan State University Distinguished Faculty Award in 1994; the Overseas Outstanding Contribution Award from China Computer Federation in 2009; the First Class Award in Natural Sciences for Research Excellence by the Ministry of Education, China in 2010; and the Second Class Award in Natural Sciences for Research Excellence by the State Council, China in 2011.


Keynote: Science and Entrepreneurship with the Rise of Artificial Intelligence

Kai-Fu Lee
Sinovation Ventures

Dr. Kai-Fu Lee is the Chairman and CEO of Sinovation Ventures and President of Sinovation Venture’s Artificial Intelligence Institute. Sinovation Ventures is a leading early-stage investment company targeting the next wave of Chinese high-tech companies and to mentor the next-generation of Chinese entrepreneurs. Prior to starting Sinovation Ventures in 2009, Dr. Lee was the Vice President of Google, President of Google China. Previously, he held executive positions at Microsoft, SGI, and Apple. Dr. Lee received his Bachelor degree from Columbia University, and Ph.D. from Carnegie Mellon University. Dr. Lee has Honorary Doctorate Degrees from the City University of Hong Kong and Carnegie Mellon University. He is also a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Dr. Lee was the Vice Chairman of the Committee of 100, an elite group of Chinese Americans and one of the 100 most influential people in the world by Time Magazine in 2013.


Keynote: AI Makes the Internet Smarter

Haifeng Wang
Baidu Inc.

Haifeng Wang, PhD, a vice president of Baidu, currently is the head of Baidu’s Artificial Intelligent Group (AIG), which includes Baidu Research (Institute of Deep Learning, Big Data Lab, Silicon Valley AI Lab, and Augmented Reality Lab), Speech, Natural Language Processing, Knowledge Graph, AI Platform, and other departments. Dr. Wang joined Baidu in 2010. Through 2010 to 2013, he spearheaded Baidu's efforts in natural language processing, multimedia (speech, image), knowledge graph, personalized recommendation, and deep learning. In 2014, he was appointed as the vice general manager of Search Services Group, in charge of Baidu's core search products, including Baidu Search, Mobile Baidu, Baidu Feeds, Baidu Translate, Duer, DuRobot, Baidu News, etc. Dr. Wang was the president of the Association for Computational Linguistics (ACL) in 2013, and is an ACL fellow. He is a vice president of Chinese Institute of Electronics, CyberSecurity Association of China, and Chinese Information Processing Society of China. Dr. Wang was honored the Second Prize of National Science and Technology Progress Award in 2015.



Keynote: Big Data and Precision Medicine

Runsheng Chen

Professor Runsheng Chen is one of the pioneer scholars developing the researches on theoretical biology and bioinformatics in China. For more than twenty years, Prof. Chen has led his group to perform a series of systemic researches in the field of bioinformatics, including the whole genome assembly and annotation for T. tengcongensis B4 (the first bacterium genome completely sequenced in China), the 1% Human Genome Project, and the Draft Sequence of the Rice Genome. So far, Prof. Chen has published more than 120 papers in SCI, and made more than 20 conference or group reports in the international academic conferences since 1996. For his outstanding early studies on genomic informatics, Prof. Chen was invited to give the "Kotani Memorial Lecture" on the 15th International CODATA Conference, Tsukuba, Japan, 29 Sep. - Oct. 1996, and then selected as the winner of "Kotani Prize".


Keynote: Big Data Analysis and Mining in Microbiome

Xiaohua Tony Hu
Drexel University

Xiaohua Tony Hu (Ph.D, 1995) is a full professor and the founding director of the data mining and bioinformatics lab at the College of Computing and Informatics (the former College of Information Science and Technology, one of the best information science schools in USA, ranked as #1 in 1999 and #6 in 2010 in information systems by U.S. News & World Report).  He is also serving as the founding Co-Director of the NSF Center (I/U CRC) on Visual and Decision Informatics (NSF CVDI), IEEE Computer Society Bioinformatics and Biomedicine Steering Committee Chair, and IEEE Computer Society Big Data Steering Committee Chair.  Tony is a scientist, teacher and entrepreneur. He joined Drexel University in 2002. He founded the International Journal of Data Mining and Bioinformatics (SCI indexed) in 2006, International Journal of Granular Computing, Rough Sets and Intelligent Systems in 2008. Earlier, he worked as a research scientist in the world-leading R&D centers such as Nortel Research Center, and Verizon Lab (the former GTE labs). In 2001, he founded the DMW Software in Silicon Valley, California. He has a lot of experience and expertise to convert original ideas into research prototypes, and eventually into commercial products, many of his research ideas have been integrated into commercial products and applications in data mining fraud detection, database marketing. Tony’s current research interests are in data/text/web mining, big data, bioinformatics, information retrieval and information extraction, social network analysis, healthcare informatics, rough set theory and application. He has published more than 270 peer-reviewed research papers in various journals, conferences and books such as various IEEE/ACM Transactions (IEEE/ACM TCBB, IEEE TFS, IEEE TDKE, IEEE TITB, IEEE SMC, IEEE Computer, IEEE NanoBioScience, IEEE Intelligent Systems), JIS, KAIS, CI, DKE, IJBRA, SIG KDD, IEEE ICDM, IEEE ICDE, SIGIR, ACM CIKM, IEEE BIBE, IEEE CICBC etc, co-edited 20 books/proceedings.  He has received a few prestigious awards including the 2005 National Science Foundation (NSF) Career award, the best paper award at the 2007 International Conference on Artificial Intelligence, the best paper award at the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, the 2010 IEEE Granular Computing Outstanding Contribution Awards, the 2007 IEEE Bioinformatics and Bioengineering Outstanding Contribution Award, the 2006 IEEE Granular Computing Outstanding Service Award, and the 2001 IEEE Data Mining Outstanding Service Award.  He has also served as a program co-chair/conference co-chair of 14 international conferences/workshops and a program committee member in more than 80 international conferences in the above areas.  He is the founding editor-in-chief of the International Journal of Data Mining and Bioinformatics (SCI indexed), International Journal of Granular Computing, Rough Sets and Intelligent Systems, an associate editor/editorial board member of four international journals (KAIS, IJDWM, IJSOI and JCIB).


Keynote: Paradoxes in Internet Architecture

Srinivasan Keshav
University of Waterloo

Professor S. Keshav received a B.Tech in Computer Science and Engineering from IIT Delhi in 1986 and a Ph.D. in Computer Science from the University of California, Berkeley in 1991. He was subsequently a researcher at AT&T Bell Laboratories and, from 1996 to 1999, an Associate Professor at Cornell University. In 1999 he left academia to co-found Ensim Corporation and GreenBorder Technologies Inc. He was an Associate Professor at the University of Waterloo from 2003 to 2008 and has been a Professor since, holding a Canada Research Chair (2004-14) and the Cisco Chair in Smart Grid (2012-17). An awardee of the Director's Gold Medal from IIT Delhi, the Sakrison Prize from UC Berkeley, two Test of Time awards from ACM SIGCOMM, and Best Paper awards at both ACM SIGCOMM and ACM MOBICOM, he is the co-director of the Information Systems and Science for Energy Laboratory, author of two graduate textbooks on computer networking, an Alfred P. Sloan Fellow, an ACM Fellow, and currently Chair of ACM SIGCOMM.


Keynote: Continuous Spatial Awareness with Wireless Networks

Kyle Jamieson
Princeton University

Kyle Jamieson is an Assistant Professor in the Department of Computer Science at Princeton University and Honorary Reader at University College London. His research focuses on building mobile and wireless systems for sensing, localization, and communication that cut across the boundaries of digital communications and networking. He received the B.S., M.Eng., and Ph.D. (2008) degrees in Computer Science from the Massachusetts Institute of Technology. He then received a Starting Investigator fellowship from the European Research Council in 2011, Best Paper awards at USENIX 2013 and CoNEXT 2014, and a Google Faculty Research Award in 2015.


Keynote: Cybernetics for Personal Health

Ramesh Jain
University of California Irvine

Ramesh joined University of California, Irvine as the first Bren Professor in Bren School of Information and Computer Sciences in 2005. Ramesh has been an active researcher in experiential computing, multimedia information systems, machine vision, and intelligent systems. While professor of computer science and engineering at the University of Michigan, Ann Arbor and the University of California, San Diego, he founded and directed artificial intelligence and visual computing labs. He was also the founding Editor-in-Chief of IEEE MultiMedia magazine and Machine Vision and Applications journal and served on the editorial boards of several magazines and journals. He has co-authored more than 450 research papers in well-respected journals and conference proceedings. His co-authored and co-edited books include two text books: Machine Vision (published in 1995), and Multimedia Computing (published in 2014). Ramesh has been elected Fellow of ACM, IEEE, IAPR, AAAI, and SPIE. He is the recipient of several awards including the ACM SIGMM Technical Achievement Award 2010.

Ramesh co-founded multiple companies (Imageware, Virage, Praja, Seraja, mChron, and Krumbs), managed them in initial stages, and then turned them over to professional management. Currently, he is working with Krumbs — a Visual Web company. He enjoys working with companies, is involved in research, and enjoys writing. His current research is in Social Life Networks, Objective Self, and Visual Web.


Keynote: New Frontiers of Large Scale Multimedia Information Retrieval

Shih-Fu Chang
Columbia University

Shih-Fu Chang is the Sr. Executive Vice Dean and the Richard Dicker Professor of The Fu Foundation School of Engineering and Applied Science at Columbia University. His research is focused on multimedia information retrieval, computer vision, machine learning, and signal processing. A primary goal of his work is to develop intelligent systems that can harness rich information from the vast amount of visual data such as those emerging on the Web, collected through pervasive sensing, or stored in gigantic archives. A consistent theme of his research is turning unstructured multimedia data into searchable information. His work on content-based visual search in the early 90's, VisualSEEk and VideoQ, set the foundation of this vibrant area. Over the years, he continued to create innovative techniques for image/video recognition, multimodal analysis, visual information ontology, image authentication, and compact hashing for large-scale image databases. He also applies the novel capabilities to multi-source news video search, mobile search, 3D object search, and brain machine interfaces. Impact of his work can be seen in more than 300 peer-reviewed publications, numerous paper awards, more than 30 issued patents, and technologies licensed to six companies. For his long-term pioneering contributions, he has been awarded the IEEE Signal Processing Society Technical Achievement Award, ACM Multimedia Special Interest Group Technical Achievement Award, Honorary Doctorate from the University of Amsterdam, the IEEE Kiyo Tomiyasu Award, and IBM Faculty Award. For his dedicated contributions to education, he received the Great Teacher Award from the Society of Columbia Graduates. He served as Chair of Columbia Electrical Engineering Department (2007-2010), the Editor-in-Chief of the IEEE Signal Processing Magazine (2006-8), and advisor for several international research institutions and companies. In his current capacity in Columbia Engineering, he plays a key role in the School's strategic planning, special research initiatives, international collaboration, and faculty development. He is a Fellow of the American Association for the Advancement of Science (AAAS) and IEEE.


Keynote: Vulnerabilities and Privacy Leakage Detection for Android Systems

John C.S. Lui
The Chinese University of Hong Kong

John C.S. Lui is currently the Choh-Ming Li Chair Professor in the CSE Department at The Chinese University of Hong Kong (CUHK), and he is also the Associate Dean of Research at the Faculty of Engineering at CUHK. He received his Ph.D. in Computer Science from UCLA. His current research interests are in network sciences with large data implications, machine learning on large data analytics, network/system/mobile security, network economics, large scale distributed systems and performance evaluation theory. Currently, John is the senior editor in the IEEE/ACM Transactions on Networking, and has been serving in the editorial board of IEEE Transactions on Mobile Computing, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Journal of Performance Evaluation, Journal of Network Science and International Journal of Network Security. He is a member of the review panel in the IEEE Koji Kobayashi Computers and Communications Award committee, and has served at the IEEE Fellow Review Committee. He received various departmental teaching awards and the CUHK Vice-Chancellor's Exemplary Teaching Award, as well as the CUHK Faculty of Engineering Research Excellence Award. He is an elected member of the IFIP WG 7.3, Fellow of ACM, Fellow of IEEE, Senior Research Fellow of the Croucher Foundation and was the past chair of the ACM SIGMETRICS (2011-2015). His personal interests include films and general reading.


Keynote: Edge Computing in the Extreme and its Applications

Suman Banerjee

Suman Banerjee is a Professor in Computer Sciences at UW-Madison where he is the founding director of the WiNGS laboratory which broadly focuses on research in wireless and mobile networking systems. He received his undergraduate degree from IIT Kanpur, and MS and PhD degrees from the University of Maryland. He is the inaugural recipient of the ACM SIGMOBILE Rockstar award and a recipient of the NSF Career Award. He is a recipient of multiple award papers at various conferences, such as ACM MobiCom, ACM CoNEXT, and IEEE Dyspan. He is currently serving as the chair of ACM SIGMOBILE.


Keynote: Towards Centimeter-scale Human Activity Sensing with Wi-Fi Signals: Theory and Applications

Daqing Zhang
Peking University

Daqing Zhang is a Chair Professor at the School of EECS, Peking University, China and Vice Director of CCF Pervasive Computing Technical Committee. His research interests include context-aware computing, mobile computing, big data analytics and pervasive elderly care. Dr. Zhang has published more than 200 technical papers in leading conferences and journals, where his work on context model is widely accepted by the pervasive computing, mobile computing and service-oriented computing communities. He served as the general or program chair for more than 10 international conferences, giving keynote talks at more than 17 international conferences. He is the associate editor for ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Big Data, IEEE Pervasive Computing, etc.. In recent years, he has been exploring new areas such as "Social and Community Intelligence (SCI)", "Mobile Crowd Sensing (MCS)" and "Contactless Sensing" which aim to push context-aware computing to new frontiers. Dr. Zhang is the winner of the Ten-years CoMoRea impact paper award at IEEE PerCom 2013, the Honorable Mention Award at ACM UbiComp 2016 and 2015, the Best Paper award at IEEE UIC 2015 and 2012, and the Best Paper Runner Up award at Mobiquitous 2011. Daqing Zhang obtained his Ph.D. from University of Rome “La Sapienza” in 1996.


Keynote: Motion Tracking and Its Applications

Lili Qiu
UT Austin

Lili Qiu is a Professor at Computer Science Dept. in UT Austin. She got M.S. and PhD in Computer Science from Cornell University in 1999 and 2001, respectively. After graduation, she spent 2001-2004 as a researcher at System & Networking Group in Microsoft Research Redmond. She joined UT Austin in 2005, and has founded a vibrant research group working on Internet and wireless networks at UT. She has published 100+ papers and 22 issued patents. She is a recipient of NSF career award, Google Faculty Award, and ACM Distinguished Scientist. She currently serves as Vice Chair for ACM SIGMOBILE.


Keynote: From NFV to NFC: The challenges to scale software network functions

Kun Tan
HUAWEI Technologies

Dr. Kun TAN is Director and Chief Architect, Network Virtualization Lab, HUAWEI Technologies, Co. Ltd. Before joining HUAWEI, he was Senior Research Manager in Microsoft Research Asia, where he led the networking and wireless research. In past years, he has worked on many aspects on both wireless and computer networks. He has a long list of publications and also a regular reviewer on top international conferences such as ACM SIGCOMM, Mobicom, NSDI. He is an associate editor of IEEE Transaction on Mobile Computing.


Keynote: Data-Intensive Routing in Spatial Networks

Christian S. Jensen
Aalborg University

Christian S. Jensen is Obel Professor of Computer Science at Aalborg University, Denmark, and he was recently with Aarhus University for three years and spent a one-year sabbatical at Google Inc., Mountain View. His research concerns data management and data-intensive systems, and its focus is on temporal and spatio-temporal data management. Christian is an ACM and an IEEE Fellow, and he is a member of Academia Europaea, the Royal Danish Academy of Sciences and Letters, and the Danish Academy of Technical Sciences. He has received several national and international awards for his research. He is Editor-in-Chief of ACM Transactions on Database Systems.


Keynote: Towards Processing of Big Graphs

Xuemin Lin
University of New South Wales

Xuemin Lin is a UNSW Scientia Professor and the head of database group in the school of computer science and engineering at UNSW, Australia.  Xuemin's research interests lie in databases, algorithms, and complexities. Specifically, he is working in the area of scalable data processing covering graph data, spatial-temporal data, streaming data, uncertain data, text data, etc. Xuemin was an associate editor of ACM TODS (2008-2014), IEEE TKDE (Feb 2013- Jan 2015),  and an associate editor-in-Chief of IEEE TKDE (2015-2016). He is currently the Editor-in-Chief  of IEEE TKDE (2017 Jan – Now).  Xuemin has published over 130 papers in the top venues such as SIGMOD, SIGIR, SIGKDD, ACM MM, VLDB, PODS, ICDE, IJAIC, IEEE TKDE, VLDB J, and ACM TODS.  Xuemin co-authored 16 best papers in the international conferences, including the best paper award in ICDE2016 and best student paper award in ICDE2007. Xuemin Lin was selected as one of the National Thousand Distinguished Overseas Scholars in China in 2010. He is an IEEE Fellow.


Keynote: Data Usability: An Aspect of Big Data Research

Jianzhong Li
Harbin Institute of Technology

Jianzhong Li, Professor, PHD supervisor, the winner of Outstanding Young Investigator Award and “WangXuan Award”, CCF the highest achievement award, the chief scientist of National 973 Project. He is the executive director and fellow of CCF, the director of China Computer Federation Technical Committee on Internet of Things, the vice director of Chinese Association of Automation Technical Committee on Big Data, the Chairman of ACM SIGMOD China, the chief editor of Data Science and Engineering. He was the vice director of China Computer Federation Technical Committee on Big Data, the vice director of China Computer Federation Technical Committee on Database, and the vice chief editor of IEEE Transactions on Knowledge and Data Engineering, a top international journal. His research focuses on massive data computing and wireless sensor network. As a PI, he was supported by many national key projects. He solved many scientific and technical problems, and gained a series of achievement. He has published 4 monographs, 300 papers on refereed journals and conferences, among which more than 100 papers was published on top journals or conferences such as IEEE Trans and SIGMOD. His papers were cited by more than 15000 times by other researchers. Single paper was cited by more than 2000 times by other researchers. His multiple papers were awarded best papers by multiple important conferences such as VLDB. He is the first Chinese Mainland Researcher who has published papers on top database conferences such as VLDB and ICDE. His papers were listed in monographs and handbooks published in UK and USA, as well as graduated course in USA universities. He also developed the operation system for DJS-100 series computer, the first computer cluster system and the first database for computer cluster in China. These systems have been applied in many areas and achieve great economics and social benefits. He has gained national and provincial awards for more than 10 times. He was also serve as Program Committee Chair, General Chair and Program Committee member on major conferences such ICDE, CIKM for more than 30 times.


Keynote: Supercloud: A Library Cloud for Exploiting Cloud Diversity

Robbert van Renesse
Cornell University

Robbert van Renesse is a Research Professor of Computer Science at Cornell University. His research is on the practice and theory of scalable and fault tolerant distributed systems. He has published over 200 papers and patents on this topic, as well as a book. Van Renesse is elected Chair of the ACM Special Interest Group on Operating Systems, and Associate Editor of ACM Computing Surveys, the most cited journal in computer science. He has co-founded three companies transferring technology to industry. Van Renesse is an ACM Fellow.

Keynote: Theory and Practice of Brain-like Computer

Tiejun Huang
Peking University

Tiejun Huang, Ph.D, is a Professor with the School of Electronic Engineering and Computer Science, Head of Department of Computer Science, Peking University. Professor Huang’s research areas include video coding and image understanding, especially neural coding inspired information coding theory in last years. He received the Ph.D. degree in Pattern Recognition and Intelligent System from the Huazhong (Central China) University of Science and Technology in 1998, and the master’s and bachelor’s degrees in Computer Science from the Wuhan University of Technology in 1995 and 1992, respectively. Professor Huang received the National Science Fund for Distinguished Young Scholars of China in 2014, and was awarded the Distinguished Professor of the Chang Jiang Scholars Program by the Ministry of Education in 2015. He is a member of the Board of the Chinese Institute of Electronics and the Advisory Board of IEEE Computing Now.

Keynote: Technology-driven and Application-driven Architecture Innovation: Past, Present, and Future

Yuan Xie

Yuan Xie received the B.S. degree in electronic engineering from Tsinghua University, Beijing, and the M.S. and Ph.D. degrees in computer engineering from Princeton University. He is currently a Professor in the ECE department at the University of California at Santa Barbara. Before joining UCSB in Fall 2014, he was with Pennsylvania State University, with rich industry experience in both research lab (AMD) and product team (IBM Worldwide Design Center). Prof. Xie is a IEEE Fellow. He is also a recipient of the NSF CAREER award, SRC Inventor Recognition Award, IBM Faculty Award, and Best Paper Awards (HPCA15, ICCAD14, GLSVLSI14, ISVLSI12, ISLPED11) and Best Paper Award Nominations (MICRO13, ASPDAC09-10, DATE13, ICCAD06). He has published more than 200 research papers in prestigious IEEE/ACM journals and conferences, in the area of computer architecture, EDA, VLSI designs, and embedded systems. He is currently Editor-in-Chief for ACM Journal of Emerging Technologies in Computing Systems (JETC), Senior Associate Editor for ACM Transactions on Design Automation for Electronics Systems (TODAE), Associate Editor for IEEE Transactions on Computers (TC) and IEEE Embedded System Letter (ESL) and PC Chair of HPCA 2018. He is a member of both the ISCA Hall of Fame and the HPCA Hall of Fame, the two premier conferences in computer architecture, that recognize the top authors in those conferences.

Keynote: Fixing Security Problems for and with Programmers

Trent Jaeger
Pennsylvania State University

Trent Jaeger is a Professor in the Computer Science and Engineering Department at The Pennsylvania State University and the Co-Director of the Systems and Internet Infrastructure Security (SIIS) Lab. Trent's research interests include operating systems security and the application of programming language techniques to security. He has published over 100 refereed research papers and is the author of the book "Operating Systems Security," which examines the principles of designs for secure operating systems. He is currently the Chair of the ACM Special Interest Group on Security, Audit, and Control (SIGSAC) and Program Chair of ASIACCS 2014. Trent has a B.S. from the California State Polytechnic Univerity, Pomona in Chemical Engineering in 1985 and M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor in Computer Science and Engineering in 1993 and 1997, respectively.

Trent previously worked at IBM Research Watson from 1996 to 2005, when he joined Penn State. While at IBM Research, Trent was active in the Linux community, particularly in contributing code and tools for the Linux Security Modules (LSM) framework (in Linux 2.6) and for integrating the SELinux/LSM with IPsec (called Labeled IPsec, available in Linux 2.6.18 and above). Trent also worked on virtual machine systems (Xen reference monitor sHype), trusted computing (Linux Integrity Measurement Architecture and variants), and microkernels (L4 and systems built on it).


Keynote: Differential Privacy: Meaning and Caveats

Ninghui Li
Purdue University

Ninghui Li is a Professor of Computer Science at Purdue University. His research interests are in security and privacy.

Prof. Li is Vice Chair of ACM Special Interest Group on Security, Audit and Control (SIGSAC), (2013--present). He is on the editorial boards of IEEE Transactions on Dependable and Secure Computing (TDSC), Journal of Computer Security (JCS), and ACM Transactions on Internet Technology (TOIT); and was on the editorial board of the VLDB Journal from 2007 to 2013.

Prof. Li has served on the Program Committees of over 100 international conferences and workshops in computer security, databases, and data mining. In 2014 and 2015, he has served as the Program Chair for ACM Conference on Computer and Communications Security (CCS), ACM's flagship conference in the field of security and privacy.

Since joining Purdue, Prof. Li's research has been supported by United States National Science Foundation, Air Force Office of Scientific Research (AFOSR), Army Research Office (ARO), National Security Agency (NSA), Open Collaboration Research awards from IBM Research, Google Faculty Research awards, and a Samsung faculty research award.


Keynote: Security and Privacy in the Internet of Things

Elisa Bertino
Purdue University

Professor Elisa Bertino joined Purdue in January 2004 as professor in Computer Science and research director at CERIAS. Her research interests cover many areas in the fields of information security and database systems. Her research combines both theoretical and practical aspects, addressing applications on a number of domains, such as medicine and humanities. Current research includes: access control systems, secure publishing techniques and secure broadcast for XML data; advanced RBAC models and foundations of access control models; trust negotiation languages and privacy; data mining and security; multi-strategy filtering systems for Web pages and sites; security for grid computing systems; integration of virtual reality techniques and databases; and geographical information systems and spatial databases.

Professor Bertino serves or has served on the editorial boards of several journals - many of which are related to security, such as the ACM Transactions on Information and System Security, the IEEE Security & Privacy Magazine, and IEEE Transactions on Dependable and Secure Computing. She is currently serving as program chair of the 36th International Conference on Very Large Data Bases (VLDB 2010). Professor Bertino is a Fellow of the Institute of Electrical and Electronics Engineers and a Fellow of ACM. She received the IEEE Computer Society Technical Achievement award in 2002 for outstanding contributions to database systems and database security and advanced data management systems, and received the 2005 Tsutomu Kanai Award by the IEEE Computer Society for pioneering and innovative research contributions to secure distributed systems.

She is recently served in the IEEE Computer Society Board of Governors and as Chair of ACM SIGSAC.


Keynote: Refocusing Academic Integrity to Enhance Learning

Amber Settle
De Paul University

Amber Settle is an Associate Professor in the School of Computing at DePaul University and has been on the fulltime faculty since 1996. She earned a B.S. in mathematics and a B.A. in German from the University of Arizona, and a M.S. and Ph.D. in computer science from the University of Chicago. Dr. Settle’s research interests include computer science and information technology education and theoretical computer science. Dr. Settle was named as a Vincent DePaul Professor in 2004. She has served on the Advisory Board for the ACM Special Interest Group for Computer Science Education (SIGCSE) since 2010 and is currently the Chair of SIGCSE. Dr. Settle has also served on the program and/or conference committees for RESPECT 2016, SIGITE/RIIT 2013, 2014, and 2015, and ITiCSE 2013. She has been a Senior Member of the ACM since 2011.


Keynote: Improving Success in Computer Science Education Using Lessons from Learning Sciences

Mark Guzdial
Georgia Institute of Technology

Mark Guzdial is a Professor in the School of Interactive Computing in the College of Computing at Georgia Institute of Technology. He studies how people come to understand computing and how to make that more effective. He leads the CSLearning4U project to create ebooks to help high school teachers learn CS. He is one of the leaders on the NSF alliance “Expanding Computing Education Pathways" which helps US states improve and broaden their computing education. He invented Media Computation which uses media as a context for learning computing. With his wife and colleague, Barbara Ericson, he received the 2010 ACM Karl V. Karlstrom Outstanding Educator award. He is an ACM Distinguished Educator and a Fellow of the ACM.


Keynote: Bringing “Trustworthy Network Big Data” ideas to High School Students

Dan Garcia
University of California, Berkeley

He received dual B.S. degrees in Computer Science and Electrical Engineering from MIT, 1990; and an M.S. and Ph.D. in Computer Science from UC Berkeley in 1995 and 2000, respectively. He joined the CS faculty at UC Berkeley in the Fall of 2000, won the departmental Diane S. McEntyre Award for Excellence in Teaching in 2002, the departmental Information Technology Faculty Award for Excellence in Undergraduate Teaching in 2004 and was chosen as a UC Berkeley "Unsung Hero" in 2005. He has taught (or co-taught as a GSI, where he won both departmental and campus outstanding GSI awards) courses in teaching techniques, computer graphics, virtual reality, computer animation, self-paced programming as well as the lower-division introductory CS curriculum. He is active in SIGCSE, is a member of the ACM Education Board, and is the faculty co-advisor for BFOIT, a wonderful Berkeley outreach effort.


Keynote: Intelligent Robots: Practice, Problems and Pitfall

Yangsheng Xu
The Chinese University of Hong Kong, Shenzhen

Professor Xu Yangsheng is Academician of Chinese Academy of Engineering, and the President of The Chinese University of Hong Kong, Shenzhen. He received his PhD degree from the University of Pennsylvania, and then joined Carnegie Mellon University, and subsequently The Chinese University of Hong Kong. In 2013, Professor Xu was appointed the first President of The Chinese University of Hong Kong, Shenzhen after a global selection process. Professor Xu's research includes robotics, intelligent systems and artificial intelligence. He has been interested in space robotics, service robotics, robot language, wearable interface, intelligent vehicles and self-learning systems. He has published 6 books, and over 300 papers in international journals in these areas. He is Academician of Chinese Academy of Engineering, Fellow of International Academy of Aeronautics and Astronautics, Fellow of the Institute of Electrical and Electronics Engineers, Academician of International Eurasian Academy of Sciences, and Fellow of Hong Kong Academy of Engineering Science.


Keynote: Making Good Decision Quickly

Sven Koenig
University of Southern California

Sven Koenig is a professor in computer science at the University of Southern California. He received his Ph.D. degree in computer science from Carnegie Mellon University for his dissertation on "Goal-Directed Acting with Incomplete Information." He also holds M.S. degrees from the University of California at Berkeley and Carnegie Mellon University. He is a fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a distinguished speaker of the Association for Computing Machinery (ACM), and the recipient of an ACM Recognition of Service Award, an NSF CAREER Award, an IBM Faculty Partnership Award, a Charles Lee Powell Foundation Award (which provided USC start-up funding), a Raytheon Faculty Fellowship Award, an IEEE Computer Science and Engineering Undergraduate Teaching Award, a Mellon Mentoring Award, an SAIC Student Advisement Award, the Dean's Award for Innovation in Teaching and Education, five AAAI and one WIC Certificates of Appreciation, a Fulbright Fellowship, and the Tong Leong Lim Pre-Doctoral Prize of the University of California at Berkeley. Sven was also a program director at the National Science Foundation (NSF) from 2010 to 2012, where he received the Director's Award for Collaborative Integration in both 2011 and 2012. Several of his students won awards as well (including best paper, best dissertation, best research assistant, and best teaching assistant awards) and took their first jobs in academia. In 2016, one of them (Prof. William Yeoh) was selected by IEEE Intelligent Systems as one of the "AI's 10 to Watch" 2015 ("10 young stars in the field of AI," chosen every two years from researchers around the world). Sven has edited several conference proceedings and published more than 200 papers in various areas of artificial intelligence and robotics, including more than 30 papers at AAAI and IJCAI (the two main artificial intelligence conferences), as well as papers in planning (ICAPS and its predecessors AIPS and ECP), agents (AAMAS and its predecessor Autonomous Agents), machine learning (ICML, COLT), numerical artificial intelligence and control (NIPS, UAI, AI, and Mathematics), knowledge representation and reasoning (KR), robotics (ICRA, IROS, RSS), games (AIIDE, FDG), and others. He was conference co-chair of the 2002 Symposium on Abstraction, Reformulation, and Approximation (SARA), the 2004 International Conference on Automated Planning and Scheduling (ICAPS), and the 2009 International Symposium on Combinatorial Search (SoCS). He was program co-chair of the 2005 International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), the 2007 and 2008 AAAI Nectar programs, the 2015 AAAI Conference, and the 2016 and 2017 Symposia on Educational Advances in AI (EAAI). He is chair of the ACM Special Interest Group on Artificial Intelligence (ACM SIGAI), an editor of AI Magazine (where he helped to start both the "Competition Report" and the "AI in Industry" tracks) and the Communications of the ACM (Research Highlights), and an associate editor of the Artificial Intelligence journal, the Journal of Autonomous Agents and Multi-Agent Systems, and the Journal on Advances in Complex Systems. He was a councilor of the Association for the Advancement of Artificial Intelligence, a member of the advisory board of the Journal of Artificial Intelligence Research (JAIR), an associate editor of Computational Intelligence and JAIR, and a member of the steering committees of ICAPS, SoCS, and SARA. He co-founded both Robotics: Science and Systems (RSS), a highly selective robotics conference, in 2005 and SoCS, the first regular meeting of the search community in artificial intelligence, in 2009.