T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics,
School of Engineering and Applied Sciences, Harvard University.
Leslie Valiant was educated at King's College, Cambridge, Imperial College London, and
the University of Warwick, where he received a PhD in computer science in 1974.
He won the Turing Award in 2010 with a citation that reads,
"For transformative contributions to the theory of computation, including the theory of probably
approximately correct (PAC) learning, the complexity of enumeration and of algebraic computation,
and the theory of parallel and distributed computing."
Other accolades include the Nevanlinna Prize in 1986,
the Knuth Prize in 1997, and the EATCS Award in 2008. He was elected a Fellow of the Royal Society (FRS)
in 1991, a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1992,
and a member of the United States National Academy of Sciences in 2001.
Title: Reasoning on Uncertain Learned Data
Brief Abstract: This basic question faces humans in everyday experience. It is also an important technological problem if we are to make good use of the power of machine learning. In this talk this question will be discussed in the framework of a new theory of human capabilities for information processing.
ICDCN 2024 Keynote Speakers
Professor and Chair
Computer Science Department, Stony Brook University
Samir Das received his Ph.D. in computer science from Georgia Institute of Technology. Earlier, he was educated at Jadavpur University in Kolkata, India, and Indian Institute of Science, Bangalore, India. He also worked briefly in Indian Statistical Institute. Prior to Stony Brook, Das was a faculty member at the University of Texas at San Antonio and then at University of Cincinnati. Das has been at Stony Brook from 2002.
Samir R. Das directs "Wireless Networking and Systems Lab" (or WINGS lab). The lab is engaged in research related to protocols, systems and performance evaluation of various forms of mobile/wireless networks. This includes local area networks, cellular wide area networks, ad hoc/mesh or sensor networks and more recently in free space laser networks.