Dr. Eyal Amir
Dr. Eyal Amir has been chosen as one of the top young artificial
intelligence researchers by
IEEE Intelligent Systems, a prominent
publication that focuses on the field of artificial intelligence,
where he is featured in the article
AI 10 to Watch. He is also Assistant Professor at the
Computer Science Department and
Beckman Institute Affiliate, both at the
University of Illinois, Urbana-Champaign.
Eyal works on
artificial intelligence with an emphasis on building applied
systems that make use of knowledge when devising their actions. In this
pursuit he uses principled, mathematical tools from
logic,
probability theory, and
decision theory together with insights from
cognitive
science. Technically, his effort focuses on automatic reasoning,
representing and using commonsense knowledge and relational uncertain
knowledge,
autonomous agent control and architectures, planning and
rational decision making, and learning explicit knowledge in dynamic
settings. He is also interested in
graph algorithms, building large
commonsense knowledge bases, and
reactive systems. He is interested in
applications of those in robotics, machine learning, vision, virtual
worlds, and computer games, and building human-level AI
programs.
He authored
Dividing and Conquering Logic,
Approximation Algorithms for Treewidth,
Object-Oriented First-Order Logic,
Souslin Absoluteness, Uniformization and Regularity Properties of
Projective Sets, and
Towards a Formalization of Elaboration Tolerance: Adding and
Deleting Axioms and he
coauthored
Logic-Based Subsumption Architecture and
Strategies for Focusing Structure-Based Theorem Proving.
Read a
full list of his publications!
Eyal earned a B.Sc. (cum laude) in Mathematics and Computer Science
at
Bar-Ilan University in 1990, a M.Sc. in Mathematics and Computer
Science at
Bar-Ilan University
in 1994, and a Ph.D. in Computer Science at
Stanford University in
2001. He did his post-doctoral research in the Electrical Engineering
and Computer Science Department at UC Berkeley from
2001 to
2003.
Read his
LinkedIn profile.