Keynote Speeches

Edward Y. Chang
HTC Health Care, Taiwan

BIOSKETCH  Dr. Edward Chang is the President of HTC Health Care. At HTC, He helps develop IoT, cloud computing, and big data platforms to power several novel applications. His most notable project is the Tricorder project, which he co-leads (with Prof. CK Peng at Harvard) a team of physicians, scientists, and engineers to design and develop mobile wireless diagnostic instruments that can help consumers make their own reliable health diagnoses anywhere at anytime. The project entered the Qualcomm Tricorder XPRIZE competition in 2013 with 254 other entrants and was selected as one of the ten finalists in August 2014 to advance to the final round (grand prizes to be announced in January 2016). Prior to his HTC post, Ed was a director of Google Research for 6.5 years, leading research and development in several areas including big data mining, indoor localization, Web search (spam fighting), and social networking & search integration. His contributions in parallel machine learning algorithms and big-data mining are recognized through several keynote invitations (see Stanford MMDS/ACM CIKM/ACM CIVR/ACM MM/AAIM/ADMA keynote deck and tutorial deck for details), and the developed open-source codes (PSVM, PLDA+, Parallel Spectral Clustering, and Parallel Frequent Pattern Mining) have been collectively downloaded over 12,000 times. His work on indoor localization with project X was deployed via Google Maps (see XINX paper and the editor summary of his ASIST/ACM SIGIR/ICADL keynotes). Ed’s team also developed the Google Q&A system (codename Confucius), which was launched in 60+ countries including China, Russia, Thailand, Vietnam, and Indonesia, as well as 17 Arab and 40 African nations. Ed’s book titled Foundations of Large-Scale Multimedia Information Management and Retrieval provides a good summary of his experience in applying big data techniques to feature extraction, learning, and indexing for organizing multimedia data to support both management and retrieval. Prior to Google, Ed was a full professor of Electrical Engineering at the University of California, Santa Barbara (UCSB). He joined UCSB in 1999 after receiving his PhD from Stanford University, and was tenured in 2003 and promoted to full professor in 2006. Ed has served on ACM (SIGMOD, KDD, MM, CIKM), VLDB, IEEE, WWW, and SIAM conference program committees, and co-chaired several conferences including MMM, ACM MM, ICDE, and WWW. He is a recipient of the NSF Career Award, IBM Faculty Partnership Award, and Google Innovation Award.


Sheng-Wei Chen
Academia Sinica, Taiwan

BIOSKETCH  Dr. Sheng-Wei Chen (a.k.a. Kuan-Ta Chen) is the Chairman of Taiwan Data Science Association, the Director of Artificial Intelligence Foundation, the CEO of Taiwan AI Academy, and the CTO of E.SUN Financial Holding Company. He is also a Research Fellow at the Institute of Information Science and the Research Center for Information Technology Innovation (joint appointment) of Academia Sinica. He He was an Assistant Research Fellow from 2006 to 2011 and an Associate Research Fellow from 2011 to 2015 at the Institute of Information Science, Academia Sinica. He received his Ph.D. in Electrical Engineering from National Taiwan University in 2006, and his B.S. and M.S. in Computer Science from National Tsing Hua University in 1998 and 2000, respectively. Prior to taking his academic path, he was active as a programmer specialized in Windows system programming, a technical writer, and a freeware/shareware developer.

His research interests span in various application domains of AI and data science, including social computing, crowdsourcing, and computational social science, quality of experience (QoE), and multimedia systems. He received the Best Paper Award in IWSEC 2008 and K. T. Li Distinguished Young Scholar Award from ACM Taipei/Taiwan Chapter in 2009. He also received the Outstanding Young Electrical Engineer Award from The Chinese Institute of Electrical Engineering in 2010, the Young Scholar’s Creativity Award from Foundation for the Advancement of Outstanding Scholarship in 2013, and IEEE ComSoc MMTC Best Journal Paper Award in 2014. He was an Associate Editor of IEEE Transactions on Multimedia (IEEE TMM) during 2011 to 2014 and has been an Associate Editor of ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM) since 2015. He organized ACM Multimedia Systems 2017 in Taiwan and served the lead program chair of ACM Multimedia 2017. He is a Senior Member of ACM and a Senior Member of IEEE.


Oussama Khatib
Stanford University, USA

BIOSKETCH  Oussama Khatib received his Doctorate degree in Electrical Engineering from Sup’Aero, Toulouse, France, in 1980. He is Professor of Computer Science at Stanford University. His work on advanced robotics focuses on methodologies and technologies in human-centered robotics including humanoid control architectures, human motion synthesis, interactive dynamic simulation, haptics, and human- friendly robot design. He is Co-Editor of the Springer Tracts in Advanced Robotics series, and has served on the Editorial Boards of several journals as well as the Chair or Co-Chair of numerous international conferences. He co-edited the Springer Handbook of Robotics, which received the PROSE Award. He is a Fellow of IEEE and has served as a Distinguished Lecturer. He is the President of the International Foundation of Robotics Research (IFRR). Professor Khatib is a recipient of the Japan Robot Association (JARA) Award in Research and Development. In 2010 he received the IEEE RAS Pioneer Award in Robotics and Automation for his fundamental pioneering contributions in robotics research, visionary leadership, and life-long commitment to the field. Professor Khatib received the 2013 IEEE RAS Distinguished Service Award in recognition of his vision and leadership for the Robotics and Automation Society, in establishing and sustaining conferences in robotics and related areas, publishing influential monographs and handbooks and training and mentoring the next generation of leaders in robotics education and research. In 2014, Professor Khatib received the 2014 IEEE RAS George Saridis Leadership Award in Robotics and Automation.


Vladlen Koltun
Intel, USA

BIOSKETCH  Vladlen Koltun is currently a principal researcher and director of Visual Computing Lab at Intel, Santa Clara, California. He received his PhD degree in Computer Science from Tel Aviv University. After graduation, he worked as a postdoctoral researcher at the University of California, Berkeley and a research fellow at the Mathematical Sciences Research Institute, respectively. He joined the faculty as an assistant professor in the Computer Science Department at Stanford University in 2005. From 2013 to 2014, he worked as a senior research scientist at Adobe Research, San Francisco, CA.

Vladlen received honors and awards in the past: Sloan Research Fellowship, Alfred P. Sloan Foundation, 2007; NSF CAREER Award, National Science Foundation, 2006; Presidential Grant for Junior Faculty, Stanford University, 2006; and David Morgenthaler II Faculty Scholarship, Stanford University, 2005. Since 2001, 17 of his papers published at top conferences with very low selection rate were selected for full oral presentations, awarded outstanding papers, and special issue of journals. Vladlen has given 20 keynote/invited speeches at conferences. Vladlen also served on the Editorial board of the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI, 2016 – present) and Theory of Computing (2005-2014), and as the Program Chair of Symposium on Computer Animation (SCA 2014), the Guest Editor of the SIAM Journal on Computing, Special Section on ACM Symposium on Theory of Computing, 2009, and the Guest Editor of SIAM Journal on Computing, Special Section on Foundations of Computer Science, 2007.

Hiroaki Ogata
Kyoto University, Japan

BIOSKETCH  Hiroaki Ogata is a Professor at the Academic Center for Computing and Media Studies, and the Graduate School of Informatics, Kyoto University, and an associate member of Science Council of Japan. His research includes Computer Supported Ubiquitous and Mobile Learning, CSCL, CALL, and Learning Analytics. He has published more than 300 peer-reviewed papers including SSCI Journals and international conferences. He has received several Best Paper Awards and gave keynote lectures in several countries. He is an associate editor of IEEE Transactions on Learning Technologies. RPTEL and IJMLO, and also an editorial board member of IJCSCL, IJAIED, and JLA. He is an EC member of SOLAR and APSCE societies.