DDLC Seminar: Necmiye Ozay (Michigan)

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:
Necmiye Ozay received a B.S. degree in electrical and electronics engineering from Bogazici University, Istanbul in 2004, her M.S. degree in electrical engineering from The Pennsylvania State University in 2006 and her Ph.D in electrical engineering from Northeastern University in 2010.

Between 2010 and 2013, she was a control and dynamical systems postdoctoral scholar at the Department of Computing and Mathematical Sciences at California Institute of Technology. In 2013, she joined the Department of Electrical Engineering and Computer Science at the University of Michigan, where she is currently the Chen-Luan Family Faculty Development Professor of ECE and an associate professor of EECS and Robotics. She is part of the Michigan Controls Group and also affiliated with the Michigan Institute for Data Science (MIDAS) and Michigan Institute for Computational Discovery & Engineering (MICDE).

Prof. Ozay’s research interests include dynamical systems, control, optimization and formal methods with applications in cyber-physical systems, system identification, verification and validation, and autonomy. Her papers received several awards including an IEEE Control Systems Society Conference on Decision and Control Best Student Paper Award in 2008 and a best paper award from the Journal of Nonlinear Analysis: Hybrid Systems for the years 2014-2016. She received a DARPA Young Faculty Award in 2014, an NSF CAREER Award, a NASA Early Career Faculty Award and a DARPA Director’s Fellowship in 2016, an ONR Young Investigator Award and the 1938E Award from the University of Michigan College of Engineering in 2018, and a 2019 Henry Russel Award from the University of Michigan, Rackham Graduate School.

Prof. Ozay was selected as an Outstanding Reviewer of the IEEE Transactions on Automatic Control in 2011. She is also the recipient of the 2021 Antonio Ruberti Young Researcher Prize from the IEEE Control Systems Society for my fundamental contributions to the control and identification of hybrid and cyber-physical systems. She was one of the co-chairs of the 22nd ACM Conference on Hybrid Systems: Computation and Control in 2019 and program co-chair for the IFAC Conference on Analysis and Design of Hybrid Systems (ADHS) in 2021. She is currently an associate editor for the Journal of Discrete Event Dynamic Systems, Nonlinear Analysis: Hybrid Systems, and Automatica. I am a member of the IEEE and ACM as well as the IEEE Control Systems Society Technical Committees on Hybrid Systems and on Robust and Complex Systems (formerly known as, Computational Aspects of Control System Design).

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