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.


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.