Advancing Basic Science for Humanity
About the Participants
The Future of Computing, from Extreme to Green: About the Participants
Tom Abel is a cosmologist widely known for his work on primordial star formation and other features of the early Universe. He currently is an associate professor of physics at Stanford University and the Kavli Institute for Particle Astrophysics and Cosmology. His research team made the first simulation showing how dark matter might have coalesced to attract ordinary matter and form the first stars. He has also studied relativistic astrophysical flows and magneto-hydrodynamic effects in present-day star formation. Abel also heads the KIPAC computational physics department. He has been awarded the Wempe Prize of the Astrophysical Institute Potsdam, the CAREER Award of the National Science Foundation, and the Frederick Emmons Terman Fellowship.
Andreas G. Andreou is a professor of electrical and computer engineering, computer science and the Whitaker Biomedical Engineering Institute, at Johns Hopkins University. Andreou is the co-founder of the Johns Hopkins University Center for Language and Speech Processing. Research in the Andreou lab is aimed at brain inspired microsystems for sensory information and human language processing. Notable microsystems achievements over the last 25 years, include a contrast sensitive silicon retina, the first CMOS polarization sensitive imager, silicon rods in standard foundry CMOS for single photon detection, and a large scale mixed analog/digital associative processor for character recognition. Significant algorithmic research contributions for speech recognition include the vocal tract normalization technique and heteroscedastic linear discriminant analysis, a derivation and generalization of Fisher discriminants in the maximum likelihood framework. In 1996 Andreou was elected as an IEEE Fellow, “for his contribution in energy efficient sensory Microsystems.”
William J. Dally is the Willard R. and Inez Kerr Bell Professor in the Stanford University School of Engineering and former Chairman of the Stanford’s Computer Science Department. Previously he taught at MIT and performed research at Bell Telephone Laboratories. Dally has been an important pioneer in the development of parallel computing and techniques to boost the efficiency of interconnection networks. He has published more than 200 papers and is inventor or co-inventor of more than 50 patents. He is a fellow of the ACM, of the IEEE and of the American Academy of Arts and Sciences and a member of the National Academy of Engineering. Dally has been instrumental in founding several companies. Currently he is chief scientist and senior vice president of research at NVIDIA Corp., a provider of visual computing technologies.
Terry Sejnowski is a leading researcher in neural networks and computational neuroscience. He is an investigator with the Howard Hughes Medical Institute , the Francis Crick Professor at The Salk Institute for Biological Studies and a professor of biological sciences at the University of California, San Diego, as well as an adjunct professor in UCSD’s departments of Neurosciences, Psychology, Cognitive Science, and Computer Science and Engineering. He is director of the Computational Neurobiology Laboratory at the Salk Institute and heads the Institute for Neural Computation at UCSD. He is a fellow of the IEEE and received its Neural Network Pioneer Award in 2002. He is also a member of the National Academy of Sciences and the Institute of Medicine of the National Academies. Trained in physics, Sejnowski draws on biology, engineering and mathematics, as well as physics, to shed light on the brain’s computational resources and activities.