Speakers

Prof. Rajiv Sabherwal is Distinguished Professor, Edwin & Karlee Bradberry Chair, and Department Chair of Information Systems in the Walton College of Business at University of Arkansas. He has

I am a multi-talented senior leader with an exemplary track record in both manufacturing and healthcare industries. Key areas of abilities include general management, lean transformation, lean healthcare design and

Ron is an experienced technology consultant and seasoned cybersecurity specialist with deep expertise in critical systems, network security, deep packet inspection, data analytics and secure embedded software

Professor Qiu is a member of the Wireless Networking and Communications Group. Her research interests are in Internet and wireless networking. She graduated with a Ph.D. from the computer science

Dewen Wang, Ph.D. in Economics, Senior SocialProtection Economist, Social Protection and Jobs Global Practice, World Bank. His work covers both policy analysis and lending operations in the areas of aging and aged

Mike Yao is a Professor of Digital Media and the Head of the Charles H. Sandage Department of Advertising in the College of Media. He teaches a digital media & marketing course at the Gies College of Business as an

Prof. Shey-Huei Sheu is a Chair Professor of Department of Statistics and Informatics Science at the Providence University. He is an Honorary Chair Professor of the Department of Industrial Management at the National

Professor Ying-Hao Chu received his PhD in the Department of Materials Science & Engineering from National Tsing-Hua University in 2004. Then, he joined University of California, Berkeley as a postdoc. In 2008, he

Wei Ren is currently a Professor with the Department of Electrical and Computer Engineering, University of California, Riverside. He received the Ph.D. degree in Electrical Engineering from Brigham Young University,

Bioinformatics; Computational Biology – Dr. Baldi’s group works at the intersection of biological and computer sciences, using probabilistic/machine learning techniques to address biological problems