Dec. 17 — Before we wrap up the year we would like to share that we have successfully lined up our three keynoters for ISC 2016.
For the opening keynote, we are proud to present Baidu’s Chief Scientist Dr. Andrew Ng, the driving force behind the company’s R&D efforts. In this role, Dr. Ng leads the Baidu Research organization, which includes the Silicon Valley Al Laboratory, the Institute of Deep Learning and the Big Data Laboratory.
The second keynote will be presented by Dr. Jacqueline H. Chen of Sandia National Laboratories, where she works on advanced combustion research, focusing on fundamental turbulence-chemistry interactions. Her interests include petascale-level direct numerical simulations of turbulent combustion with complex chemistry.
In the final keynote of the conference, Dr. Thomas Sterling, a prominent figure in the high performance computing community, will deliver an engaging overview of HPC developments that took place over the past year.
More About the Keynoters
In addition to his R&D efforts at Baidu, Ng is a faculty member in Stanford University’s Computer Science Department, and Chairman of Coursera, an online education platform that he co-founded. He is the author or co-author of over 100 published papers in machine learning, robotics and related fields. Ng holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley.
Chen is a Distinguished Member of Technical Staff at the Combustion Research Facility at Sandia National Laboratories. She is also the founding Director of the Center for Exascale Simulation of Combustion in Turbulence. She has contributed broadly to research in petascale direct numerical simulations of turbulent combustion focusing on fundamental turbulence-chemistry interactions.
Sterling is the Professor of Intelligent Systems Engineering at the Indiana University School of Informatics and Computing as well as the Chief Scientist and Associate Director of the Center for Research in Extreme Scale Technologies (CREST). A Gordon Bell Prize winner, his work has focused on applied research in areas associated with parallel computing.
—
Source: ISC High Performance