People
Sony AI's Peter Stone Named ACM Fellow by the Association for Computing Machinery
In January 2021 we are delighted to announce that Dr.Peter Stone, Executive Director, Sony AI America; President, Founder and Director of the Learning Agents Research Group (LARG) within the AI Laboratory in the Department of Computer Science at the University of Texas (UT) at Austin; and Associate Department Chair and Director of Texas Robotics; and President of RoboCup, has been named an ACM Fellow by the Association for Computing Machinery, the premier professional organization in the field of computer science. This award goes only to highly distinguished computer scientists representing the top 1% of ACM members.
Dr. Stone is being honored for his "contributions to automated planning, learning, and multiagent systems with applications in robotics and e-commerce." He is a top expert in machine learning, multiagent systems, and robotics and holds the David Bruton, Jr. Centennial Professorship in Computer Sciences #3.
Comment
"I'm very honored to be named as an ACM Fellow, and humbled to be a part of a class that includes many of the people I most respect and look up to within the field of Computer Science,"
Dr. Stone's other honors include American Association for the Advancement of Science (AAAS) Fellow (2019), Institute of Electrical and Electronics Engineers (IEEE) Fellow (2018), the UT Regents Outstanding Teaching Award (2013), Association for the Advancement of Artificial Intelligence (AAAI) Fellow (2012), and winner of the Computers and Thoughts Award (2007) and National Science Foundation CAREER Award (2003). Dr. Stone leads UT Austin Villa, a robotic soccer team programmed by UT Austin student researchers who compete in RoboCup events held around the world.
ACM Fellows are recognized for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community. Additional information about the 2020 ACM Fellows, as well as previously named ACM Fellows, is available through the ACM Fellows site.
You can read more about this achievement in the UT at Austin College of Natural Sciences newsletter here.