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Andrew NG
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| Andrew Ng is Chief Scientist at Baidu. He leads Baidu Research, which includes the Silicon Valley AI Lab, the Institute of Deep Learning and the Big Data Lab. The organization brings together global research talent to work on fundamental technologies in areas such as image recognition and image-based search, speech recognition, natural language processing and semantic intelligence. In addition to his role at Baidu, Dr. Ng is a faculty member in Stanford University's Computer Science Department, and Chairman of Coursera, an online education platform that he co-founded. Dr. Ng is the author or co-author of over 100 published papers in machine learning, robotics and related fields. He holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley. |
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Peter Stone
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Peter Stone is the David Bruton, Jr. Centennial Professor of Computer Science at the University of Texas at Austin. In 2013 he was awarded the University of Texas System Regents' Outstanding Teaching Award and in 2014 he was inducted into the UT Austin Academy of Distinguished Teachers, earning him the title of University Distinguished Teaching Professor. Professor Stone's research interests in Artificial Intelligence include machine learning (especially reinforcement learning), multiagent systems, robotics, and e-commerce. Professor Stone received his Ph.D in Computer Science in 1998 from Carnegie Mellon University. From 1999 to 2002 he was a Senior Technical Staff Member in the Artificial Intelligence Principles Research Department at AT&T Labs - Research. He is an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow, Fulbright Scholar, and 2004 ONR Young Investigator. In 2003, he won an NSF CAREER award for his proposed long term research on learning agents in dynamic, collaborative, and adversarial multiagent environments, and in 2007 he received the prestigious IJCAI Computers and Thought Award, given biannually to the top AI researcher under the age of 35.
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Peter J. Stuckey
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Peter J. Stuckey is a Professor in the Department of Computing and Information Systems at the University of Melbourne, and project leader at NICTA/Data61. Peter Stuckey is a pioneer in constraint programming, the science of modelling and solving complex combinatorial problems. His research interests include: constraint programming; programming languages, in particular declarative programing languages; constraint solving algorithms; bioinformatics; and constraint-based graphics. He enjoys problem solving in any area, having publications in e.g. databases, timetabling, and system security.
Peter Stuckey received a B.Sc and Ph.D both in Computer Science from Monash University in 1985 and 1988 respectively. In 2009 he was recognized as an ACM Distinguished Scientist. In 2010 he was awarded the Google Australia Eureka Prize for Innovation in Computer Science for his work on lazy clause generation. He was awarded the 2010 University of Melbourne Woodward Medal for most outstanding publication in Science and Technology across the university.
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Ruth Aylett
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Ruth Aylett is a Professor of Computer Science at Heriot-Watt University in Edinburgh, UK. She researches affective and social agents, human-robot interaction and digital story-telling and has more then 250 refereed publications in these areas. She has coordinated three large EU projects developing intelligent graphical agents and has also acted as a PI in the EU LIREC project investigating long-lived robot companions, and the EU EMOTE project , researching empathic robot tutors. She was a founder of the international conference Intelligent Virtual Agents and a member of the Humaine network on affective computing.
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