VP Financial Activities

Current

2023 - 2025

Jonathan How

Massachusetts Institute of Technology

United States

1 (Northeastern U.S.)

Email

Website

Jonathan How

1 (Northeastern U.S.)

Email

Website

Biography

Jonathan P. How is the Richard C. Maclaurin Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology. He received a B.A.Sc. (Aerospace) from the University of Toronto in 1987, and his S.M. and Ph.D. in Aeronautics and Astronautics from MIT in 1990 and 1993, respectively, and then studied for 1.5 years at MIT as a postdoctoral associate. Prior to joining MIT in 2000, he was an assistant professor in the Department of Aeronautics and Astronautics at Stanford University. Dr. How was the editor-in-chief of the IEEE Control Systems Magazine (2015-19), an associate editor for the AIAA Journal of Aerospace Information Systems (2012-21) and IEEE Transactions on Neural Networks and Learning Systems (2018-21). He was the Program Vice-chair (tutorials) for the 2021 Conference on Decision and Control and will be the Program Chair for the American Control Conference in 2025. He was elected to the Board of Governors of the IEEE Control System Society (CSS) for 2020-22, is on the IEEE CSS Long Range Planning Committee (2022 – ), is a member of the IEEE CSS Technical Committee on Aerospace Control and the Technical Committee on Intelligent Control, was a member of the IEEE Fellows Selection committee for CSS (2021-22), and since 2021, he serves as the AIAA Director on the American Automatic Control Council. He is also the Director of the Ford-MIT Alliance and was a member of the USAF Scientific Advisory Board (SAB) from 2014-17. His research focuses on robust planning and learning under uncertainty with an emphasis on multiagent systems, and he was the planning and control lead for the MIT DARPA Urban Challenge team. His work has been recognized with multiple awards, including being inducted into the University of Toronto Engineering Hall of Distinction (2022), receiving the 2020 IEEE CSS Distinguished Member Award, the 2020 AIAA Intelligent Systems Award, the 2015 AeroLion Technologies Outstanding Paper Award for Unmanned Systems, the 2015 IEEE CSS Video Clip Contest, the 2011 IFAC Automatica award for best applications paper, and the 2002 Institute of Navigation Burka Award. He also received the Air Force Commander's Public Service Award in 2017. He is a Fellow of IEEE (2018) and AIAA (2016) and was elected to the National Academy of Engineering in 2021.

Affiliation(s)

Massachusetts Institute of Technology

United States

Past

2021 - 2022

João Hespanha

University of California, Santa Barbara

United States

Email

Website

João Hespanha

Email

Website

Biography

João P. Hespanha received the Licenciatura in electrical and computer engineering from the Instituto Superior Técnico, Lisbon, Portugal in 1991 and the Ph.D. degree in electrical engineering and applied science from Yale University, New Haven, Connecticut in 1998. From 1999 to 2001, he was Assistant Professor at the University of Southern California, Los Angeles. He moved to the University of California, Santa Barbara in 2002, where he currently holds a Professor position with the Department of Electrical and Computer Engineering. Prof. Hespanha is Associate Director for the Center for Control, Dynamical-systems, and Computation (CCDC), Vice-Chair of the Department of Electrical and Computer Engineering, and a member of the Executive Committee for the Institute for Collaborative Biotechnologies (ICB). From 2004—2007 he was an associate editor for the IEEE Transactions on Automatic Control.

His current research interests include hybrid and switched systems; the modeling and control of communication networks; distributed control over communication networks (also known as networked control systems); the use of vision in feedback control; and stochastic modeling in biology.

Dr. Hespanha is the recipient of the Yale University’s Henry Prentiss Becton Graduate Prize for exceptional achievement in research in Engineering and Applied Science, a National Science Foundation CAREER Award, the 2005 best paper award at the 2nd Int. Conf. on Intelligent Sensing and Information Processing, the 2005 Automatica Theory/Methodology best paper prize, the 2006 George S. Axelby Outstanding Paper Award, and the 2009 Ruberti Young Researcher Prize. Dr. Hespanha is a Fellow of the IEEE and an IEEE distinguished lecturer since 2007.

Affiliation(s)

University of California, Santa Barbara

United States

Past

2019 - 2020

Jing Sun

University of Michigan

United States

Email

Incumbent(s)

Jonathan How

João Hespanha

Jing Sun