Ph.D. 2021
Joined Fall 2018Now: HRL Laboratories
- Ph.D., Mechanical Engineering, Iowa State University, 2021
- M.S., Mechanical Engineering, Iowa State University, 2017
- B.S., Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran, 2015
Yasaman was a Ph.D. student in Mechanical Engineering and joined the lab in Fall 2018. Her research interests were dynamics and controls, optimization, machine learning, and deep learning. She worked on nonconvex robust optimization in deep neural networks with unknown adversaries. Her other activities include playing piano, reading, and working out.
She graduated from the SCS Lab in 2021 and is currently working at HRL Laboratories.
Research interests: Dynamics and controls, optimization, machine learning, deep learning
Publications with the lab (6)
- Dominating Set Model Aggregation for communication-efficient decentralized deep learning — Neural Networks (2024)
- A fast saddle-point dynamical system approach to robust deep learning — Neural Networks (2021)
- Distributed deep learning for persistent monitoring of agricultural fields — NeurIPS 2021 AI for science workshop (2021)
Show all 6
- Query-based targeted action-space adversarial policies on deep reinforcement learning agents — Proceedings of the ACM/IEEE 12th international conference on cyber-physical … (2021)
- Cross-gradient aggregation for decentralized learning from non-iid data — International conference on machine learning (2021)
- Robustifying reinforcement learning agents via action space adversarial training — 2020 American control conference (ACC) (2020)
yasesf (@) iastate.eduGoogle Scholar