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Naomi Leonard

For outstanding contributions to control education through dedicated mentoring of undergraduate and graduate students, integration of research and education, and innovative curriculum development combining engineering and the arts.
Naomi Ehrich Leonard is the Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering and Associated Faculty in the Program in Applied and Computational Mathematics at Princeton University. She is Director of Princeton's Council on Science and Technology and affiliated faculty member of the Princeton Neuroscience Institute and Program on Quantitative and Computational Biology. Leonard is a MacArthur Fellow, a member of the American Academy of Arts and Sciences, and Fellow of the IEEE, ASME, SIAM, and IFAC. She is Editor of the Annual Review of Control, Robotics, and Autonomous Systems. Previously, she was Senior Editor of IEEE Transactions on Control of Network Systems, Associate Editor of Automatica, and Associate Editor of SIAM Journal on Control and Optimization. She received the Hendrik W. Bode Lecture Prize (IEEE CSS, 2017), the Nyquist Lecture Award (ASME DSCD, 2014), and the Automatica Prize Paper Award (IFAC). She has also given plenary lectures at the SIAM Annual Meeting, IFAC World Congress, American Control Conference, and IEEE Conference on Robotics and Automation (ICRA).
Leonard received the B.S.E. degree in Mechanical Engineering from Princeton University in 1985 and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Maryland in 1991 and 1994. From 1985 to 1989, she worked as an engineer in the electric power industry. Her current interests include decentralized control and decision making of dynamical systems on networks, autonomous vehicle and mobile robotic teams, collective animal behavior, human cognitive control, and intersections with dance. She led a multidisciplinary project that culminated in 2006 in a major field demonstration in Monterey Bay, CA of a first-of-its-kind automated and adaptive ocean observing system, featuring a coordinated network of autonomous underwater vehicles collecting data about the ocean.
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