Engineering Futures Colloquium Series, Sponsored by HII

Dr. Peter Stone holds the Truchard Foundation Chair in Computer Science at the University of Texas at Austin. He is Chair of the Computer Science Department, as well as Founding Director of Texas Robotics. In 2013 he was awarded the University of Texas System Regents' Outstanding Teaching Award and in 2014 he was inducted into the UT Austin Academy of Distinguished Teachers, earning him the title of University Distinguished Teaching Professor. Professor Stone's research interests in Artificial Intelligence include machine learning (especially reinforcement learning), multiagent systems, and robotics. Professor Stone received his Ph.D in Computer Science in 1998 from Carnegie Mellon University. From 1999 to 2002 he was a Senior Technical Staff Member in the Artificial Intelligence Principles Research Department at AT&T Labs - Research. He is an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow, IEEE Fellow, AAAS Fellow, ACM Fellow, Fulbright Scholar, and 2004 ONR Young Investigator. In 2007 he received the prestigious IJCAI Computers and Thought Award, given biannually to the top AI researcher under the age of 35, in 2016 he was awarded the ACM/SIGAI Autonomous Agents Research Award, and in 2024 he was awarded the ACM/AAAI Allen Newell Award. Professor Stone co-founded Cogitai, Inc., a startup company focused on continual learning, in 2015, and currently serves as Chief Scientist of Sony AI.

"From 'How to learn' to 'What to learn' in Multi-Agent Systems and Robotics"

There has been a lot of exciting recent progress on new and powerful machine learning algorithms and architectures: How to learn.  But for autonomous agents acting in the dynamic, uncertain world, it is at least as important to be able to identify which concepts and subproblems to focus on: What to learn.

This talk presents methods for identifying what to learn within the framework of reinforcement learning, focusing especially on applications in multiagent systems and robotics.

The Honorable Joseph S. Jewell, Ph.D., is the Assistant Secretary of War for Science and Technology (ASW S&T). As the principal advisor to the Under Secretary of War for Research and Engineering (USW(R&E)) on matters related to S&T, developmental prototyping, and experimentation he guides the Department’s science and technology strategy and investments, acting as a crucial link between fundamental scientific discovery and its strategic application in defense.

Dr. Jewell oversees and advocates for the entirety of the Department’s S&T enterprise, which includes its specialized workforce, laboratory infrastructure, Federally Funded Research and Development Centers (FFRDCs), and University-Affiliated Research Centers (UARCs). His office also directs a diverse portfolio of critical S&T programs including hypersonics and biomanufacturing. Basic research, the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs, and the DoW Manufacturing Technology program, along with the nine Manufacturing Innovation Institutes (MIIs) also are within the S&T portfolio.

Prior to his current appointment, Dr. Jewell built a career at the intersection of academia and defense research. Most recently Dr. Jewell was the John Bogdanoff Associate Professor of Aeronautics and Astronautics at Purdue University in West Lafayette, Indiana where he served as Director of two hypersonic wind tunnels in the College of Engineering and the Purdue Applied Research Institute (PARI). Previously, Dr. Jewell was a research scientist at the Air Force Research Laboratory (AFRL). In these roles, his work centered on hypersonic aerothermodynamics, analyzing flight test data, and operating uniquely capable hypersonic wind tunnels. Dr. Jewell has authored more than 150 published journal articles and conference papers in aerospace engineering and hypersonics and holds a U.S. Patent in hypersonic inlet design.

Driven by a passion to secure America's technological future, Dr. Jewell is committed to strengthening the nation's future by preparing students for vital science and engineering careers in the Department of War, national labs, and the defense industry. His research has directly advanced U.S. military capabilities, having led hypersonic test programs for the Army, Navy and Air Force. Dr. Jewell has been a member or chair of four NATO Science and Technology Organization (STO) hypersonics working groups and was selected as a member of the Defense Science Study Group (DSSG) in 2024.

Dr. Jewell holds a Bachelor of Science in Aeronautics and History from the California Institute of Technology, a Master of Science in Engineering from the University of Michigan in Aerospace Engineering, as well as a Master of Science by Research from the University of Oxford in Engineering Science, where he was a Rhodes Scholar. Additionally, Dr. Jewell received his Doctor of Philosophy from the California Institute of Technology in Aeronautics. 

Dr. Jewell has received numerous awards including the NATO Panel Excellence Award, the National Institute of Aerospace Bo Walkley Best Research Publication Award, the Air Force Office of Scientific Research (AFOSR) Star Team Award (with R. Kimmel group, AFRL), the Office of Naval Research (ONR) Young Investigator Award and the NRC Research Associate Award. Dr. Jewell is a Fellow of the Royal Aeronautical Society (FRAeS), an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a registered Professional Engineer (PE, Michigan).

Dr. Jewell and his wife, Katie, have three young sons.

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science; Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL); and Deputy Dean of Research for Schwarzman College of Computing at MIT. Rus’ research interests are in robotics, artificial intelligence, and data science.

The focus of her work is developing the science and engineering of autonomy, toward the long-term objective of enabling a future with machines pervasively integrated into the fabric of life, supporting people with cognitive and physical tasks. Her research addresses some of the gaps between where robots are today and the promise of pervasive robots: increasing the ability of machines to reason, learn, and adapt to complex tasks in human-centered environments, developing intuitive interfaces between robots and people, and creating the tools for designing and fabricating new robots quickly and efficiently. The applications of this work are broad and include transportation, manufacturing, agriculture, construction, monitoring the environment, underwater exploration, smart cities, medicine, and in-home tasks such as cooking.

Rus serves as Director of the Toyota-CSAIL Joint Research Center, whose focus is the advancement of AI research and its applications to intelligent vehicles. She is a MITRE senior visiting fellow, serves as a USA expert member for GPAI (Global Partnerships in AI), a member of the board of advisers for Scientific American, a member of the Defense Innovation Board, and a member of several other boards of technical companies.

Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering and the American Academy of Arts and Sciences. She is the recipient of the 2017 Engelberger Robotics Award from the Robotics Industries Association. She earned her PhD in Computer Science from Cornell University.

Rus has also worked on two collaborative projects with the Pilobolus Dance company at the intersection of Technology and Art. Seraph, a pastoral story about human-machine friendship, was choreographed in 2010 and performed in 2010-2011 in Boston and New York City. The Umbrella Project, a participatory performance exploring group behavior, was choreographed in 2012 and performed at PopTech 2012, in Cambridge, Baltimore, and Singapore.