Bio: Yungang Bao is a Professor of Institute of Computing Technology (ICT), Chinese Academy of Sciences and serves as associate director of Center of Advanced Computer Systems of ICT. His research interests include computer architecture and operating systems and recently focuses on resource-efficient data center design. He co-led the Hybrid Memory Trace Tool (HMTT) project that has freely provided terabytes of off-chip memory traces of real systems to architecture community. During 2010-2012, he was a postdoc fellowship at Princeton University, working on the PARSEC 3.0 project. His work is published at many top venues such as ASPLOS, HPCA, ISCA and SIGMETRICS. He was the winner of CCF-Intel Young Faculty Researcher Program of the year for 2013 and was invited to participate in Dagstuhl Seminar on Rack-scale Computing in 2015. He received his Ph.D. degree from ICT (2008) and B.S. degree from Nanjing University (2003).

Bio: Andreas Birk is a full professor (full) in Electrical Engineering and Computer Science at Jacobs University Bremen where he leads the robotics group. He started at Jacobs University in Fall 2001 while rejecting an offer for a professorship (C3) at the University of Rostock. Before he joined Jacobs University, he held a research-mandate of the Flemish Society for Applied Research, IWT. He was in addition from October 1997 on a visiting professor (docent) at the Vrije Universiteit Brussel (VUB).He also worked as a visiting professor (C3) at the Universit?t Koblenz-Landau in the winter-semester of 1999/2000. During the almost six years at the VUB, Andreas Birk was a member of the Artificial Intelligence Lab, which he joined as Postdoc in April 1996. In 1995 he received his doctorate from the Universit?t des Saarlandes, Saarbrücken, where he previously studied Computer Science from fall 1989 to spring 1993.

Bio: Prof. Dr. Wolfram Burgard is a professor for computer science at the University of Freiburg and head of the research lab for Autonomous Intelligent Systems. His areas of interest lie in artificial intelligence and mobile robots. His research mainly focuses on the development of robust and adaptive techniques for state estimation and control. Over the past years my group and I have developed a series of innovative probabilistic techniques for robot navigation and control. They cover different aspects such as localization, map-building, SLAM, path-planning, exploration, and several other aspects.

In his previous position from 1996 to 1999 at the University of Bonn he was head of the research lab for Autonomous Mobile Systems. In 1997 they deployed Rhino as the first interactive mobile tour-guide robot in the Deutsches Museum Bonn in Germany (see corresponding overview article). In 1998 his group and I went to Washington, DC, to install the mobile robot Minerva in the Smithsonian Museum of American History. Afterwards we produced several robots that autonomously operated in trade shows and Museums. In 2008, they developed an approach that allowed a car to autonomously navigate through a complex parking garage and park itself. In 2012, they developed the robot Obelix that autonomously navigated like a pedestrian from the campus of the Faculty of Engineering to the city center of Freiburg. He have published over 250 papers and articles in robotic and artificial intelligence conferences and journals. In 2005, I co-authored two books. Whereas the first one, entitled Principles of Robot Motion - Theory, Algorithms, and Implementations, is about sensor-based planning, stochastic planning, localization, mapping, and motion planning, the second one, entitled Probabilistic Robotics, covers robot perception and control in the face of uncertainty.

Bio: Baoquan Chen is endowed Changjiang Professor and Dean (CS & Software) of Shandong University. Prior to the current post, he was the founding director of the Visual Computer Research Center, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, and a faculty member at CS&E at the University of Minnesota at Twin Cities. His research interests generally lie in computer graphics, visualization, and human-computer interaction. He has published over 100 papers in top venues including ACM TOG/SIGGRAPH and IEEE TVCG.

Chen serves as associate editor of IEEE TVCG and on the steering committee of IEEE VIS. In the past, he served as conference chair of SIGGRAPH Asia 2014 and IEEE Visualization 2005, and program chair of SIGGRAPH Asia 2013 and IEEE Visualization 2004. Chen received PhD in CS from SUNY@Stony Brook, and MS in EE from Tsinghua. He received NSF CAREER award in 2003 and IEEE Visualization Best Paper Award in 2005.

Bio: Jerry Chen is a software engineer at Facebook. He initiated and leads the effort to build Stylus, a high performance, scalable and fault tolerant stream processing system at Facebook. This system has been the enabler for many mission critical stream processing applications, such as Mobile Analytics, Instagram Trending, Page Insights, Chorus, etc. Before that, he managed the HBase and HDFS team at Facebook. Under his lead, HBase grew from an experimental project into a critical storage system powering Messages, as well as search index, operational datastore, etc. And HDFS team is powering one of the world's largest Hadoop clusters. Jerry Chen got his MSEE degree from University of Minnesota.

Bio: Hong Cheng is a full professor of University of Electronic Science and Technology of China (UESTC), school of Automation and Engineering. He serves as an executive director of the Center for Robotics since 2014. He was a visiting scholar at School of Computer Science, Carnegie Mellon University, USA from 2006 to 2009. Before this, he received his Ph.D degree in Pattern Recognition and Intelligent Systems from Xi'an Jiaotong University in 2003 and became an associate Professor of Xi'an Jiaotong University since 2005. He joined UESTC since 2010.

His current research interests include machine learning in human robot hybrid systems. Prof. Cheng has over 80 academic publications including three books-“Digital Signal Processing (Tsinghua University Press, Sep. 2007)”, “Autonomous Intelligent Vehicles: Theory, Algorithms and Implementation (Springer, Dec. He served/is serving as a General Chair of VALSE 2015,Program Chair of CCPR 2016, and a General Chair for CCSR 2016 He is a senior member of IEEE.

Bio: Jin-Yi Cai studied at Fudan University (class of 77). He continued his study at Temple University and at Cornell University, where he received his PhD in 1986. He held faculty positions at Yale University (1986-1989), Princeton University (1989-1993), and SUNY Buffalo (1993-2000), rising from Assistant Professor to Full Professor in 1996. He is currently a Professor of Computer Science and Steenbock Professor of Mathematical Sciences at the University of Wisconsin-Madison.

Dr.Cai received a Presidential Young Investigator Award in 1990, an Alfred P. Sloan Fellowship in Computer Science in 1994, a John Simon Guggenheim Fellowship in 1998, and a Morningside Silver Medal of Mathematics in 2004. He also received the Humboldt Research Award for Senior U.S. Scientists. He has been elected a Fellow of ACM and AAAS.

Bio: Weidong Chen received his B.S. and M.S. degrees in Control Engineering in 1990 and 1993, and Ph.D. degree in Mechatronics in 1996, respectively, all from the Harbin Institute of Technology, Harbin, China. Since 1996, he has been at the Shanghai Jiao Tong University where he is currently Chair and Professor of the Department of Automation, and Director of the Institute of Robotics and Intelligent Processing. He is the founder of the Autonomous Robot Laboratory. From August 2003 to February 2004, he was a visiting associate professor in the Department of Electrical and Computer Engineering at The Ohio State University. In July and August 2012, he was a visiting professor in the Artificial Intelligence Laboratory at the University of Zurich in Switzerland.

Dr. Chen is a winner of the Shanghai Science and Technology Progress Award presented by the Shanghai Municipal Government in 2008, a co-winner of KUKA Service Robotics Best Paper Award of the IEEE International Conference on Robotics and Automation (ICRA) in 2011, a co-winner of the Award for Interactive Papers of the Combined 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC) in 2009, a winner of the Teaching Achievement Award presented by Shanghai Municipal Education Commission in 2004. He has also been recognized by the 2007 New Century Excellent Talents in University of Ministry of Education of China, and a 2004 Shanghai Shuguang Scholar. He is a co-founder of the JiaoLong RoboCup Team. JiaoLong RoboCup Team has won 10 national championships in Soccer Middle Size League and RoboCup@home League in the passed annual China Robot Competitions & China RoboCup Open since 2002.

Bio: Prof. Haibo Chen have been a Professor in School of Software, Shanghai Jao Tong University since December, 2001. He lead the Institue of Parallel and Distributed Systems and work memebers to improve the performance and dependablilty of computer systems. He received a Bachelor degree and a Ph.D degree (Advisor:Prof. Binyu Zang) in computer science, both from Fudan University.

Bio: My research interest is parallel computing. In particular, I try to solve the problems of programming wall, memory wall, debugging wall and availability wall we face in parallel computing. In the recent two years, I have also been interested in mobile computing. My research in mobile computing aims at using cloud to manage operating systems, applications and data of mobile devices, and address the reliability, power and network bandwidth issues of current mobile computing platforms

Bio: Mathieu Desbrun is the John W. and Herberta M. Miles Professor of Computing + Mathematical Sciences at the California Institute of Technology (Caltech). He regularly participates in a number of international program committees and editorial boards in computer graphics, including ACM SIGGRAPH and Eurographics. He now runs the Applied Geometry lab, focusing on discrete differential modeling, i.e., the development of differential, yet readily discretizable foundations for computational modeling. His research group has focused on a wide spectrum of applications, ranging from discrete geometry processing to solid and fluid mechanics and field theory, and discrete exterior calculus. Visit www.geometry.caltech.edu for more information.

Bio: Prof. David Hyunchul Shim is Associate Professor at KAIST, South Korea. Prof. Shim began his research on autonomous vehicles since 1991 and has been recognized as one of the pioneers in unmanned aerial vehicles for his work on flight control system design, collision avoidance, vision-based aerial mapping and navigation, and anti-drone technologies. He has developed a number of unmanned aerial vehicles including crop-dusting helicopters, tail-sitters, micro aerial vehicles and transforming aerial vehicles. He has coauthored more than 47 journal papers and more than 180 conference papers so far and cited more than 2,700 times by peers. Dr. Shim received the B.S. and M.S. degrees in mechanical design and production engineering from Seoul National University, Seoul, Korea, in 1991 and 1993, respectively, and the Ph.D. degree in mechanical engineering from the University of California Berkeley, Berkeley, USA in 2000. From 1993 to 1994, he was with Hyundai Motor Company, Korea, as Transmission Design Engineer. From 2001 to 2005, he was with Maxtor Corporation, Milpitas, CA, USA as Staff Engineer working on advanced control systems for hard disk drives. From 2005 to 2007, he was with the University of California Berkeley as Principal Engineer, in charge of Berkeley Aerobot Team. In 2007, he joined the Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejon, Korea, as an Assistant Professor. He is now a tenured Associate Professor and served as Director of Center of Field Robotics in KAIST Institute from ’12-’15. He is also serving as member and editor in several domestic and international journals and academic societies. From 2013, he has led the project planning team for nation-wide unmanned vehicles with Korean government. Now he is leading the entire project team for Korean civil UAV program. He is also serving as a consultant to a number of government committees for UAVs and autonomous cars research in Korea. He is also serving as a government-appointed advisor for Remotely Piloted Aircraft System Panel(RPAS/P) in International Civil Aviation Organization(ICAO) since 2015. He is also serving as an expert for AI & Robotics group in World Economic Forum. He has received a number of awards including the 2nd prize in Global Student Design Competition by National Instrument, USA(2014), Outstanding award by the Minister of Science, ICT and Future Planning of Korean Government, Best paper awards by Qualcomm Inc, Korean Aerospace Industry(’09,’14), and many more outstanding paper awards.

Bio: David Evans is a Professor of Computer Science at the University of Virginia and leader of the Security Research Group. His research focuses on privacy and security for computing systems, and empowering individuals and organizations to control how their data is used and shared. He is the author of an open computer science textbook, a children's book on combinatorics and computability, and teacher of one of the world's most popular MOOCs. He won the Outstanding Faculty Award from the State Council of Higher Education for Virginia and was Program Co-Chair for the 31st and 32nd IEEE Symposia on Security and Privacy. He has SB, SM and PhD degrees in Computer Science from MIT and has been a faculty member at the University of Virginia since 1999.

Bio: I am an assistant professor of Computer Science and Engineeering at Washington University in St. Louis. Prior to WUSTL, I was a software engineer at Google. Before Google, I was a post-doctoral research associate at University of Washington. I worked with Prof. Seitz and Prof. Curless at University of Washington, and Rick Szeliski at Facebook (was at Microsoft Research). I completed my Ph.D. under the supervision of Prof. Ponce at Computer Science Department of Univeristy of Illinois at Urbana-Champaign in May 2008.

Bio: Prior to joining Stanford University's Electrical Engineering Department as an Assistant Professor in 2014, Gordon Wetzstein was a Research Scientist in the Camera Culture Group at the MIT Media Lab. His research focuses on computational imaging and display systems as well as computational light transport. At the intersection of computer graphics, machine vision, optics, scientific computing, and perception, this research has a wide range of applications in next-generation consumer electronics, scientific imaging, human-computer interaction, remote sensing, and many other areas. Gordon's cross-disciplinary approach to research has been funded by DARPA, NSF, Samsung, Intel, and other grants from industry sponsors and research councils. In 2006, Gordon graduated with Honors from the Bauhaus in Weimar, Germany, and he received a Ph.D. in Computer Science from the University of British Columbia in 2011. His doctoral dissertation focuses on computational light modulation for image acquisition and display and won the Alain Fournier Ph.D. Dissertation Annual Award. He organized the IEEE 2012 and 2013 International Workshops on Computational Cameras and Displays, founded displayblocks.org as a forum for sharing computational display design instructions with the DIY community, and presented a number of courses on Computational Displays and Computational Photography at ACM SIGGRAPH. Gordon won best paper awards at the International Conference on Computational Photography (ICCP) in 2011 and 2014 as well as a Laval Virtual Award in 2005.

Bio: Dr. Tao Wang, Distinct member of China Computer Federation (CCF), Vice director of Technical Committee of Computer Vision, CCF. He is chief scientist of iQIYI ltd. Corp., the biggest video sharing platform in China, where he works on computer vision and multimedia software applications. He received his Ph.D. in computer science from Tsinghua University in 2003. Tao then worked as a senior researcher in Intel Labs China during 2003~2014. He has published more than 60 papers in IJCV, CVPR, CIVR, ICME, and ACM multimedia etc.

Bio: Raja Koduri is senior vice president and chief architect of the AMD Radeon Technologies Group, responsible for overseeing all aspects of graphics technologies used in AMD’s APU, discrete GPU, semi-custom, and GPU compute products.

Koduri brings more than 20 years of hands-on experience advancing the visual computing experience on a broad range of computing platforms, including PCs, game consoles, professional workstations and consumer devices, and across the content ecosystems. He most recently drove AMD’s innovation in visual and accelerated computing as corporate vice president of visual and perceptual computing, including the development of the industry’s first graphics chip with integrated High-Bandwidth Memory (HBM) and AMD’s LiquidVR? initiative, a series of technologies and toolkits to deliver more compelling and realistic VR experiences.

Bio: VIJAY KUMARis the Nemirovsky Family Dean of Penn Engineering with appointments in the Departments of Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineeringat the University of Pennsylvania. Dr. Kumar received his Bachelor of Technology degree from the Indian Institute of Technology, Kanpur and his Ph.D. from The Ohio State University in 1987. He has been on the Faculty in the Department of Mechanical Engineering and Applied Mechanics with a secondary appointment in the Department of Computer and Information Science at the University of Pennsylvania since 1987.

Dr. Kumar served as the Deputy Dean for Research in the School of Engineering and Applied Science from 2000-2004. He directed the GRASP Laboratory, a multidisciplinary robotics and perception laboratory, from 1998-2004. He was the Chairman of the Department of Mechanical Engineering and Applied Mechanics from 2005-2008. He served as the Deputy Dean for Education in the School of Engineering and Applied Science from 2008-2012. He then served as the assistant director of robotics and cyber physical systems at the White House Office of Science and Technology Policy (2012 – 2013).

Dr. Kumar is a Fellow of the American Society of Mechanical Engineers (2003), a Fellow of the Institution of Electrical and Electronic Engineers (2005) and a member of the National Academy of Engineering (2013). Dr. Kumar’s research interests are in robotics, specifically multi-robot systems, and micro aerial vehicles. He has served on the editorial boards of the IEEE Transactions on Robotics and Automation, IEEE Transactions on Automation Science and Engineering, ASME Journal of Mechanical Design, the ASME Journal of Mechanisms and Robotics and the Springer Tract in Advanced Robotics (STAR).

Bio: Zexiang Li attended the South-Central University in 1978, received his BS (with honor) degrees in Electrical Engineering and Economics from Carnegie-Mellon University in 1983, his MS degree in EECS in 1985, MA in mathematics and PhD in EECS in 1989, all from the University of California at Berkeley. He worked at ALCOA, the Robotics Institute of CMU and the AI Lab of MIT (89-90). He was an assistant professor at the Courant Institute of New York University (90-92). In 1992, he joined the Department of Electronic and Computer Engineering of the Hong Kong University of Science and Technology and is currently a professor of the department. He founded the Automation Technology Center (ATC) and the Robotics Institute (RI) of HKUST.

Zexiang Li received the ALCOA Foundation Fellowship in 1979, and the E. Anthony Fellowship in 1983. He was a recipient of the University Scholar award from CMU in 1983, the E.I. Jury award from UC Berkeley in 1989, the Research Initiation award from NSF (US) in 1990, the Outstanding Young Researcher award (Class B) from NSF China in 2000, the LEAD award from AMI, USA in 2001, and the Natural Science award (3rd class) from China in 1997. He became an IEEE Fellow in 2008.

Zexiang Li served as a panel member of the Hong Kong Research Grants Council (RGC), an overseas member of the Natural Science Foundation of China (NSFC), and an associate editor for the IEEE Trans. on Robotics and Automation. He was the general Chair for the 2011 IEEE International Conference on Robotics and Automation (ICRA).

ZexiangLi's research areas of interests include multifingeredrobotic hand, parallel manipulators, workpiecelocalization and inspection, motion control, precision assembly, and unmanned aerial vehicles (UAVs). He is the author of more than 100 journal and conference papers, and four books, including A Mathematical Introduction to Robotic Manipulation (CRC Press 1993), and Nonholonomic Motion Planning (Kluwer 1994).

Zexiang Li co-founded several companies with his colleagues and students from the Automation Technology Center, including Googol Technology, a leading motion control company in China, DJI, a global leader in drones products, Lie Group Automation (or QKM), ePropulsion, the SongshanLake Robotic Startup Facility (S^2L XbotPark) and the Clearwater Bay Venture Capital.

Bio: Yasuyuki Matsushita received his B.S., M.S. and Ph.D. degrees in EECS from the University of Tokyo in 1998, 2000, and 2003, respectively. From April 2003 to March 2015, he was with Visual Computing group at Microsoft Research Asia. In April 2015, he joined Osaka University as a professor. His research area includes computer vision, machine learning and optimization. He is on the editorial board of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), IPSJ Journal of Computer Vision and Applications (CVA), The Visual Computer Journal, and Encyclopedia of Computer Vision. He served/is serving as a Program Co-Chair of PSIVT 2010, 3DIMPVT 2011, ACCV 2012, ICCV 2017, and a General Co-Chair for ACCV 2014. He is a senior member of IEEE.

Bio: Mr Raymond is responsible for VR technology, strategic partnership, VR business in Asia Pacific, as well as creates the exceptional product and brand value on HTC Vive. He has abundant experience and knowledge in consumer electronics and technology.

From 2006 to 2008, he worked with Google Android team and developed the World 1st Android Smartphone and was in charge of software development in Android platform.Graduated and received 2 Master Degrees in Mechanical Engineering from National Taiwan University and Electrical Engineering from University of Southern California.

Bio: Dr.Shankar Sastry is currently the Dean of Engineering at University of California, Berkeley and the faculty director of the Blum Center for Developing Economies. From 2004 to 2007 he was the Director of CITRIS (Center for Information Technology in the Interests of Society) an interdisciplinary center spanning UC Berkeley, Davis, Merced and Santa Cruz.

Dr.Shankar Sastry has served as Chairman, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley from January, 2001 through June 2004. From 1999-early 2001, he was on leave from Berkeley as Director of the Information Technology Office at the Defense Advanced Research Projects Agency (DARPA). From 1996-1999, he was the Director of the Electronics Research Laboratory at Berkeley.

Bio: S?ren Schwertfeger received his Diploma (German equivalent of the Master) in Computer Science in 2005 from the University of Bremen in Germany. In 2012 he received his Ph.D. in Computer Science from the Jacobs University Bremen, Germany. Between 2012 and 2014 he was a postdoctoral researcher at the Robotics Group of Prof. Andreas Birk at the Jacobs University Bremen. In 2010 Dr. Schwertfeger was a guest researcher at the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, USA, where he did research on robot performance evaluation and map quality assessment.

His research interest is in robotics, especially in intelligent functions for mobile robots. Besides his work on map evaluation, Dr. Schwertfeger also worked and published on mapping, object detection and robot autonomy. He successfully participated in many robot competitions, both as team member and as judge and organizer. Dr. Schwertfeger was the chair of the 2014 German Open RoboCup Rescue competition. In 2012 he won the best paper award at the International Workshop on Safety, Security, and Rescue Robotics (SSRR). He is the reviewer for many top journals and conferences in the area of robotics.

Bio: David Woodruff joined IBM Almaden Research Center in 2007 right after completing his Ph.D. at MIT in theoretical computer science. He has been at IBM Almaden ever since. His research interests include communication complexity, data stream algorithms, machine learning, numerical linear algebra, sketching, and sparse recovery. He is the recipient of the 2014 Presburger Award and Best Paper Awards at STOC 2013 and PODS 2010. At IBM he is a member of the Academy of Technology and a Master Inventor.

Bio: Prof. Wei Xu is an assistant professor at the Institute for Interdisciplinary Information Sciences of Tsinghua University in Beijing. He is a recipient of the National Youth 1000 Program (青年千人计划) in 2013. He have a broad research interest in distributed system design and big data. My current projects include data center networking, system management and debugging, large scale system for machine learning and data mining, as well as various big data applications.He received my Ph.D from UC Berkeley in 2010. He was in the RAD Lab in EECS Department. My advisors are Prof. David Patterson and Prof. Armando Fox. His dissertation is on analyzing free text console logs for problem detection. He worked for Google for 2.5 years as a software engineer before joining Tsinghua University. He is the director of Open Compute Project (OCP) Certification Lab in China. I am also the director of international partnership for the MOE Research Center for Online Education.

Bio: Prof. Andrew Chi-Chih Yao, world-leading computer scientist, winner of the A.M. Turing Award in 2000. He is member of the US National Academy of Sciences and the American Academy of Arts and Sciences, foreign member of the Chinese Academy of Sciences, and fellow of the International Association for Cryptologic Research (IACR). He is also Dean of Institute for Interdisciplinary Information Sciences, Tsinghua University, Chair Professor of “Tsinghua Xuetang Special Pilot CS Class”, 973 Program Chief Scientist and Distinguished Professor-at-Large at the Chinese University of Hong Kong. Born in Shanghai in 1946, he received a BS in Physics from National Taiwan University in 1967, a PhD in Physics from Harvard University in 1972, and a PhD in Computer Science from the University of Illinois in 1975. After serving on the faculty at the Massachusetts Institute of Technology (1975-1976), Stanford University (1976-1981, 1982-1986) and the University of California at Berkeley (1981-1982), he joined Princeton University in 1986 as the William and Edna Macaleer Professor of Engineering and Applied Science. In 2004, he left Princeton to become a Professor at Tsinghua University and founded "Tsinghua University Special Pilot CS Class", Institute for Theoretical Computer Science, Institute for Interdisciplinary Information Sciences and Center for Quantum Information at Tsinghua University.

His research interests include theory of computation and its application in cryptography and quantum computing. Prof. Yao has made research contributions in three ways: (1) creating important subfields for theoretical computer science, (2) helping lay the foundations of modern cryptography, and (3) resolving open problems and establishing new paradigms in circuit complexity, computational geometry, data structures, and quantum computing. As a leading scientist in network communication complexity theory, Prof. Yao first developed the quantum communication complexity in 1993, which has laid the theoretical foundations for quantum computer. He developed the distributed quantum computation model in 1995, which has evolved into the basics of distributed quantum algorithms and quantum communication protocol security. Prof. Yao was awarded the A.M. Turing Award in 2000 for his contributions to the theory of computation, including the complexity-based theory of pseudorandom number generation, cryptography, and communication complexity. He is the first Asian laureate of the Turing Award since its establishment and the only Chinese laureate so far. The Turing Award is recognized as the "highest distinction in Computer Science" and the "Nobel Prize of computing". He has also received numerous other honors and awards including the George Polya Prize and the first Donald E. Knuth Prize, and several honorary degrees from University of Waterloo, the Chinese University of Hong Kong, the Hong Kong University of Science and Technology, and the City University of Hong Kong. In February 2009, he was elected as one of the “Capital Top Ten Education Newsmakers of 2009”.

Bio: Jingyi Yu is a Full Professor in the School of Information Science and Technology at ShanghaiTech University. He received B.S. from Caltech in 2000 and Ph.D. from MIT in 2005. Before joining ShanghaiTech, he was a full professor at the University of Delaware. He has published over 100 papers at highly refereed conferences and journals including over 50 papers at the premiere conferences and journals CVPR/ICCV/ECCV/TPAMI. He has been granted 10 US patents on computational imaging. He is a recipient of the NSF CAREER Award and the US Air Force YIP Award. He is currently an Associate Editor of IEEE TPAMI, Elsevier CVIU, Springer TVCJ and Springer MVA. In 2016, he founded PlexVR, a startup that focuses on light field technologies for VR contents generation.

Bio: Zheng Zhang is professor of computer science at NYU Shanghai. He also holds an affiliated appointment with the Department of Computer Science at the Courant Institute of Mathematical Sciences and with the Center for Data Science at NYU's campus in New York City. Prior to joining NYU Shanghai, he was founder of the System Research Group in Microsoft Research Asia, where he served as principle researcher and research area manager. Before he moved to Beijing, he was project lead and member of technical staff in HP-Labs. He holds a PhD from University of Illinois, Urbana-Champaign, an MS from University of Texas, Dallas, and a BS Fudan University.

Zhang is a member of the Association for Computing Machinery and founder of the SIGOPS APSYS workshop and the CHINASYS research community. He served regularly as PC members of leading system conferences. During his tenures in industrial labs, he was awarded 40 patents and made numerous contributions to product lines. He has several Best Paper awards as well as awards for excellence from Microsoft and HP-Labs.