Dr. Jerry Gao ( Research Center Director )

Jerry Zeyu Gao is a full professor at the Department of Computer Engineering at San Jose State University. Now, he is the director of SJSU Silicon Valley Excellence Research Center on Smart Technology, Computing, and Complex Systems. He had over 20 years of academic research and teaching experience and over 10 years of industry working and management experience on software engineering and IT development applications. He has published three technical books and over hundreds (200) publications in IEEE/ACM journals, magazines, International conferences and workshops. His current research areas include smart cities, cloud computing, TaaS, software engineering, test automation, and mobile cloud services. Since 2016, Dr. Gao and his team have worked closely with the city of San Jose on different smart city projects to address complex challenges in building future smart cities using different grants from NSF, CEC, and Cities, as well as collaborated local companies.

In 2010, Jerry Gao has been recognized by University of Texas at Arlington as a distinguished Alumna for College of Engineering at its 50th anniversary. In 2011, he was award as a KSI Fellow in SEKE2011. In 2013, Dr. Gao has received the College of Engineering Faculty Award for Excellence in scholarship, journals, and served as an editorial board member and an associate editor for a number of archive journals, including IEEE software, International Journal of Software Engineering and Knowledge Engineering, and Journal of Theoretical and Applied Electronic Commerce Research. In last 10 years, Dr. Gao has played as one of leading roles in organizing many international conferences and workshops as a conference co-chair, program co-chair, and workshop co-chair. These include Smart World Congress 2017, Smart City Innovation 2017, SEKE06-2016, IEEE MobileCloud2013-2014, IEEE BigDataService 2014-2017, IEEE SOSE2011-2013, ICYCS'05, TQACBS2005-2006, WMCS2004-2010, IEEE EMOBS07-08, TEST'07, and EECC2006. In this year, he served as a conference chair IEEEMobileCloud2014, and workshop program co-chair AST2014. Besides, Dr. Gao has provided his technical consultant and training services for numerous international IT and telecommunication companies, including Fujitsu Network, Intuit, eBay, HP, IBM, Haiwei, Cisco, and UT-StartCom.

Dr. Subhankar Dhar ( Program Director )

Subhankar Dhar is a Professor in the School of Information Systems & Technology at San Jose State University. He is also an affiliate faculty member of the Silicon Valley Center for Entrepreneurship. Dr. Dhar's research interests are in the areas of Big Data Analytics, large scale computer networks, Mobile Computing, wireless ad hoc and sensor networks and Smart Cities. Dr. Dhar worked on a broad range of problems in Big Data, ad hoc and sensor networks, distributed algorithms and routing for large scale wireless networks as well as mobile computing, with contributions to both graph-theoretic and statistical techniques. His work has emphasized the modeling of the underlying problem structure, combining all relevant sources of information, and designing algorithms especially tuned to large scale ad hoc and sensor networks.

Prof. Dhar has published several papers in refereed journals and international conference proceedings in the above areas. He received his Ph.D. degree from the University of South Florida, Tampa, and has been affiliated with San Jose State since 2001. He teaches a variety of courses including computer networks, distributed systems and web-based computing. His publications have appeared in reputed international journals and gave presentations to various international conferences. He serves as a member of the editorial board of International Journal of Business Data Communications and Networking. He is a reviewer of papers for various international journals, conferences and scholarly publications. He also served as a member of the organizing committee of various international conferences like International Conference on Broadband Networks (BroadNets) and International Workshop on Distributed Computing (IWDC). In addition, Dr. Dhar has several years of industrial experience in software development, consulting for Fortune 500 and high-tech industries including product planning, design, and information systems management.


Dr. Winncy Du

Dr. Winncy Du is a professor with the Department of Mechanical Engineering at San Jose State University (SJSU) where she is also the director of the Robotics, Sensor, and Machine Intelligence Laboratory. She was a visiting professor with the Department of Mechanical Engineering at MIT. Her PhD in Mechanical Engineering and her MS degree in Electrical and Computer Engineering were awarded in 1999 by Georgia Institute of Technology. She earned MS and BS degrees in Mechanical Engineering from West Virginia University in 1994 and Jilin University (China) in 1983, respectively. She is also a registered Professional Engineer (PE) and holds Engineer-in-Training (EIT) and Computer Integrated Manufacturing Systems (CIMS) certificates. Prior to joining SJSU in 2000, she was an assistant professor at Georgia Southern University. She also worked as a journal editor, engineer, and researcher with the Science and Technology Research and Information Center, Ministry of Mechanical and Electronics Industry of China.

Her research and teaching areas are sensors, robotics, mechatronics, automation, and control, with an emphasis on health care and biomedical applications. She has taught more than 10 different undergraduate and graduate courses. She is a sole author of book: “Resistive, Capacitive, Inductive, and Magnetic Sensor Technologies” (CRC press, Taylor & Francis Group, LLC, 2015), contributed to the books Smart Sensors and Sensing Technology (Springer-Verlag, 2008) and Modern Sensors, Transducers, and Sensor Networks (International Frequency Sensor Association, 2012), and has published more than 40 peer-reviewed journal and conference papers. She is a principal investigator (PI) or co-PI of more than 23 research grants, and the leader of more than 20 industry sponsored research projects. In 2010, she was awarded the rank of fellow with American Society of Mechanical Engineers (ASME) in recognition of her exceptional engineering achievements and contribution to the engineering profession. She is also an active member of IEEE. He professional honors include the International ASME Diversity & Outreach Award (2004), ASME District D Student Section Advisor Award (2007, 2011, and 2013), Richard A. Fitz Outstanding Faculty Advisor Award (2005), and Charles W. Davidson College of Engineering Faculty Award for Excellence in Scholarship at SJSU (2012), and Newman Brothers Award for Faculty Excellence, College of Engineering, SJSU (2014).

Dr. Ozgur Keles

Ozgur Keles is an Assistant Professor of Biomedical, Chemical, and Materials Engineering at San Jose State University. Dr. Keles received his Ph.D. in Materials Engineering from Purdue University in 2013. His work on the deviations from Weibull statistics in porous materials was highlighted in the Gordon Research Conferences, and awarded by the American Ceramic Society. His work at the intersection of engineering, education, and arts was also highlighted in the JOM: The Member Journal of TMS. His research interests are stochastic fracture of additively manufactured materials (metals, polymers, composites), mechanical behavior of graphene quantum dot/fiber/platelet reinforced hierarchical composites, and processing of graphene quantum dot infused zirconia-based composites.

Dr. Kaikai Liu

Kaikai Liu is an assistant professor in the Department of Computer Engineering since August 2015. His research interests include Mobile and Cyber-Physical Systems (CPS), Smart and Intelligent Systems, Internet-of-Things (IoT), Software-Defined Computing and Networking. He has published over 20 peer-reviewed papers in journals and conference proceedings, 1 book, and holds 4 patents (licensed by three companies). He developed several prototype systems that can potentially improve people’s lives, for example, emergency communication system for smart city, Ultra-wideband communication and detection for search and rescue victims, indoor localization and navigation for the disabled. He is a recipient of the Outstanding Achievement Award at UF (four times), the Apple WWDC Student Scholarship (2013 and 2014), the Innovator Award from the Office of Technology Licensing at UF (2014), the Top Team Award at NSF I-Corps Winter Cohort (Bay area, 2015),  the 2015 Gator Engineering Attribute Award for Creativity at UF, IEEE SWC 2017 Best Paper Award, IEEE SECON 2016 Best Paper Award, ACM SenSys 2016 Best Demo - Runner up, 2016 CoE Kordestani Endowed Research Professor, and 2017 CoE Research Professor Award. He served as the TPC member and technical reviewers for many IEEE/ACM conferences and journals.

Dr. Hyeran Jeon

Dr. Hyeran Jeon is an Assistant Professor of Computer Engineering Department at San Jose State University. She has been teaching computer architecture and parallel programming courses. Her research interests lie in energy-efficient high-throughput processor and systems design for cognitive computing. Aligned to her research interest, she has been advising master student groups for deep learning accelerated applications development. She earned her Ph.D. at the University of Southern California in 2015. She spent her summer at IBM T.J. Watson Research Center and the fall at AMD Research as a research intern in 2012. Before pursuing her Ph.D., she worked as a systems software engineer at Samsung Electronics, Korea from 2002 to 2009. Hyeran obtained her M.S. from Georgia Institute of Technology and Korea University in 2008, and B.S. from Pusan National University, Korea in 2002. She received Viterbi dean’s doctoral fellowship from the University of Southern California.

Dr. Saeid Bashash

Saeid Bashash received his Ph.D. in Mechanical Engineering from Clemson University in 2008, and subsequently held a postdoctoral research position at the University of Michigan, Ann Arbor, for two years, and the Pennsylvania State University for another two years. He served as a senior servo engineer at HGST, a Western Digital Company, between 2013 and 2015, and then joined the Department of Mechanical Engineering at San José State University as an assistant professor in 2015.

Dr. Bashash’s research focuses on the modeling, analysis, optimization, and control of dynamic systems, such as servomechanisms, piezoelectric systems, electric vehicles, and sustainable energy systems. He is the author and co-author of over 50 conference and journal papers in the field of dynamic systems and control, and the recipient of a number of awards including the outstanding PhD performance fellowship from Clemson University, ASME DSCC’s best student paper finalist award, and the Kordestani endowed research professor award from the College of Engineering at San José State University.

Dr. Iris Xiaohong Quan

Iris Xiaohong Quan is an Associate Professor of Entrepreneurship in the Lucas College of Business at San Jose State University. She holds a PhD from the University of California at Berkeley, and a B.S. and M. Econ from Peking University, China. She was a SPRIE Fellow at Stanford University before joining San Jose State University. Her research interests are in the fields of entrepreneurship, technology and innovation management, and international business. Her publications appears in journals such as IEEE Transactions on Engineering Management and International Journal of Technology Management, involving topics such as MNC’s R&D activities in China, immigrant entrepreneurs and professionals in Silicon Valley, and innovation in high-tech industries.

She is a member of the steering committee of Silicon Valley Center for Entrepreneurship at San Jose State University. She is a Board member of the IEEE Technology Management Society Administrative Committee, and Program Chair for the 2011 IEEE International Technology Management Conference and the upcoming 2017 IEEE TEMSCON conference.