Data Driven Learning and Control seminar series is organized by the Information and Decision Science Lab at Cornell University and aims to explore the latest advancements and interdisciplinary approaches to data-driven learning and control systems.

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Bio: Jean-Jacques Slotine is professor of mechanical engineering and information sciences, brain and cognitive sciences and director of the Nonlinear Systems Laboratory at MIT. He received his Ph.D. from the Massachusetts Institute of Technology in 1983, at age 23. After working at Bell Labs in the computer research department, he joined the faculty at MIT in 1984. Slotine teaches and conducts research in the areas of dynamic systems, robotics, control theory, computational neuroscience, and systems biology.

Research in Slotine’s laboratory focuses on developing rigorous but practical tools for nonlinear systems analysis and control. These have included key advances and experimental demonstrations in the contexts of sliding control, adaptive nonlinear control, adaptive robotics, machine learning, and contraction analysis of nonlinear dynamical systems.

Slotine is the co-author of two popular graduate textbooks, “Robot Analysis and Control” (Asada and Slotine, Wiley, 1986), and “Applied Nonlinear Control” (Slotine and Li, Prentice-Hall, 1991) and is one of the most cited researchers in both systems science and robotics. He was a member of the French National Science Council from 1997 to 2002, and a member of Singapore’s A*STAR SigN Advisory Board from 2007 to 2010. He is currently a member of the Scientific Advisory Board of the Italian Institute of Technology. He has held Invited Professor positions at College de France, Ecole Polytechnique, Ecole Normale Superieure, Universita di Roma La Sapienza, and ETH Zurich.

Slotine is the recipient of the 2016 Rufus Oldenburger Medal.