Grants and Contracts per year
Personal profile
Research Interests
Dr. Poonawala is interested in perception and motion control in robots using tools from deep learning and control theory. His work addresses the fundamental challenge of providing performance guarantees for data-driven systems. His recent work focuses on performance in terms of stability and safety of robots moving in cluttered environments.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Univ Of Texas At Dallas, T
2014
Master of Science in Mechanical Engineering, Univ Of Michigan-Ann Arbor
2009
B TECH, National Institute of Technology
2007
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Network
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KY EPSCoR: FY23: NASA: Research Area (RA-22) YR1 State Match - TPS Radiation Science - Match for 3200004923
Poovathingal, S., Maddox, J., Martin, A., Poonawala, H. & Renfro, M.
7/1/22 → 6/30/24
Project: Research project
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Next Generation Materials and Processing Technologies (NextGen MatProTech)
Jawahir, I., Badurdeen, F., Balk, J., Beck, M., Caudill, J. R., Craddock, J., Karaca, H., Pham, J., Poonawala, H., Renfro, M., Rottmann, P., Schoop, J. & Weisenberger, M.
5/5/21 → 11/4/23
Project: Research project
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Next Generation Materials and Processing Technologies (NextGen MatProTech) Project 4
Badurdeen, F., Caudill, J. R., Jawahir, I., Poonawala, H. & Renfro, M.
5/5/21 → 11/4/23
Project: Research project
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Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions
Badings, T., Romao, L., Abate, A., Parker, D., Poonawala, H. A., Stoelinga, M. & Jansen, N., 2023, In: Journal of Artificial Intelligence Research. 76, p. 341-391 51 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
Badings, T. S., Abate, A., Jansen, N., Parker, D., Poonawala, H. A. & Stoelinga, M., Jun 30 2022, AAAI-22 Technical Tracks 9. p. 9669-9678 10 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control
Ghosh, S., Laguna, S., Lim, S. H., Wynter, L. & Poonawala, H., 2021, 31st International Conference on Automated Planning and Scheduling, ICAPS 2021. Biundo, S., Do, M., Goldman, R., Katz, M., Yang, Q. & Zhuo, H. H. (eds.). p. 468-476 9 p. (Proceedings International Conference on Automated Planning and Scheduling, ICAPS; vol. 2021-August).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations -
AI-enabled dynamic finish machining optimization for sustained surface integrity
Schoop, J., Poonawala, H. A., Adeniji, D. & Clark, B., Aug 2021, In: Manufacturing Letters. 29, p. 42-46 5 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data
Apr 2021, In: EBioMedicine. 66, 103275.Research output: Contribution to journal › Article › peer-review
Open Access11 Scopus citations