Chuck Eesley

 

Chuck Eesley is an Assistant Professor and Morgenthaler Faculty Fellow in the Department of Management Science and Engineering at Stanford University. As part of the Stanford Technology Ventures Program, his research focuses on the role of the institutional and university environment in high-growth, technology entrepreneurship. Prof. Eesley was selected in 2015 as an Inaugural Schulze Distinguished Professor. His National Science Foundation of China and Kauffman award supported research focuses on rethinking how the educational and policy environment shapes the economic and entrepreneurial impact of university alumni. Over the past three years, Prof. Eesley has been playing a growing role in national and international meetings on fostering high-tech entrepreneurship, including advising the U.S. State Department in the Global Innovation through Science and Technology (GIST) program, Chile (CORFO), Taiwan (ITRI), and the Korean Ministry of Science and Technology. He is a member of the Editorial Board for the Strategic Management Journal. Before coming to Stanford, Prof. Eesley completed his Ph.D. at the M.I.T. Sloan School of Management in 2009 where he won BPS Division and Kauffman Dissertation Awards for his work on high-tech entrepreneurship in China.

 

 

 

    Nicolas Pinto

 

Nicolas Pinto was born in France, where he received two M.Sc. in Computer Science with a focus in Artificial Intelligence. After originating brain-inspired Deep Neural Networks running on GPUs & PlayStation 3s in 2006-2007, Nico received his Neuroscience PhD from MIT in 2010 and taught GPU programming at Harvard & MIT. He co-founded Perceptio in 2012 which pioneered privacy-preserving mobile deep learning technology, running entirely on smartphones. Apple acquired Perceptio in late 2014 and shipped iOS 10, macOS Sierra and the iPhone 7 filled with its deep learning technology in 2016. Nico is now leading fundamental AI research efforts at the fruit company.

 

 

 

    Silvio Savarese

 

Silvio Savarese is an Associate Professor of Computer Science at Stanford University and director of the SAIL-Toyota Center for AI Research at Stanford. He earned his Ph.D. in Electrical Engineering from the California Institute of Technology in 2005 and was a Beckman Institute Fellow at the University of Illinois at Urbana-Champaign from 2005–2008. He joined Stanford in 2013 after being Assistant and then Associate Professor of Electrical and Computer Engineering at the University of Michigan, Ann Arbor, from 2008 to 2013. His research interests include computer vision, robotic perception and machine learning. He is recipient of several awards including a Best Student Paper Award at CVPR 2016, the James R. Croes Medal in 2013, a TRW Automotive Endowed Research Award in 2012, an NSF Career Award in 2011 and Google Research Award in 2010. In 2002 he was awarded the Walker von Brimer Award for outstanding research initiative.

 

 

 

 Jane Yung-jen Hsu 許永真

 

Jane Hsu is a Professor of the Department of Computer Science and Information Engineering at National Taiwan University, where she served as the Department Chair in 2011 to 2014. As the Director of the NTU IoX Center, established in 2011 as the Intel-NTU Connected Context Computing Center, Prof. Hsu is leading the global research collaboration on Augmented Collective Beings and Internet of Things. With more than 30 years of experience in AI, her research interests include multiagent planning/learning, crowdsourcing, knowledge mining, commonsense computing, and context-aware smart IoT. Prof. Hsu has been actively involved in key international conferences of AAAI, IEEE, and ACM, and served as an executive member of the IEEE Technical Committee on E-Commerce (2000). Having served on the board of Taiwanese Association for Artificial Intelligence since 2004, she was elected the President in 2013 to 2014. Prof. Hsu served on the editorial board of Journal of Information Science and Engineering (2010-), International Journal of Service Oriented Computing and Applications (Springer, 2007-2009) and Intelligent Data Analysis (Elsevier/IOS Press, 1997-2002).

 

 

 

 Chih-Han Yu 游直翰

Chief Executive Officer & Co-Founder Appier

 

Chih-Han Yu is CEO and co-founder of Appier, a technology company that makes it easy for businesses to use artificial intelligence to grow and succeed in a cross screen world. Under his leadership, Appier has grown from a five person startup to a rapidly growing company with employees throughout Asia.
Yu has authored dozens of research articles in the field of artificial intelligence (AI), robotics and machine learning, and has been awarded two US patents. In 2010 Yu obtained his doctoral degree in computer science from Harvard University, where he collaborated with the Wyss Institute for Biologically Inspired Engineering at Harvard Medical School to develop self-adapting robotics systems to help polio patients walk correctly. His doctoral thesis was nominated as the best thesis of the year in the field of multi-agent AI. Prior to Harvard, Yu earned his master’s degree from Stanford University, where he participated in the school’s champion DARPA Grand Challenge development team, whose winning prototype Stanley laid the basis for Google’s self-driving car project. Most recently, Yu was named a Young Global Leader for 2016 by the World Economic Forum, making Appier the only Asian AI company to make the list.
Before founding Appier, Yu founded and ran Plaxie, an independent game studio focused on developing intelligent mobile and social games.