Debdipta Goswami দেবদীপ্ত গোস্বামী

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Assistant Professor
Department of Mechanical and Aerospace Engineering
The Ohio State University
E510 Scott Laboratory
201 W 19th Street
Columbus, OH, 43210
United States of America
Phone: +1 614-247-6063
E-mail: goswami.78 [@] osu [DOT] edu Director, Systems, Optimization, Autonomous Robotics Laboratory (SOAR Lab)

About me

Thank you for visiting my site. I am an assistant professor in the Department of Mechanical and Aerospace Engineering (MAE) at The Ohio State University. I received my Ph.D. in Electrical and Computer Engineering from University of Maryland (UMD), USA, under the supervision of Prof. Derek A. Paley in 2020. Prior to that, I did my undergrad in Electronics and Telecommunication Engineering from Jadavpur University, India in 2015. I spent two years in the Department of Mechanical and Aerospace Engineering (MAE) at Princeton University as a postdoc. You can find my dissertation here along with the slides.


We work on exciting research problems at the interscetion of dynamical systems, machine learning, and unmanned aerial vehicles. Please visit our lab page for more information

Recent news

  • 2023/08 Shahab Ataei, Ananda Chakrabarti, and Santosh M Rajkumar join SOAR Lab. Welcome Shahab, Ananda, and Santosh.

  • 2023/07 Our paper on sequentially training an echo-state network from noisy observations is accepted in IEEE Conference on Decision and Control 2023. See you at Singapore!

  • 2023/03 Our paper on training echo-state networks from partial observations is accepted in IFAC World Congress 2023. See you at Yokohama!

  • 2023/01 We are going to organize a workshop on data-driven methods in system and control in American Control Conference, 2023. See you at San Diego!

  • 2022/10 Our article on data-driven study of urban micromobility is now published in the IEEE Control Systems Magazine. [link]

  • 2022/06 I will join The Ohio State University at the Department of Mecanical and Aerospace Engineering as an assistant professor from Fall 2022.

  • 2022/03 Our article on optimal control while learning on the fly got accepted in L4DC 2022. [link]