Hey there 👋
I'm Keyvan Majd
CS PhD Student @ ASU

I am currently a PhD candidate in the School of Computing and Augmented Intelligence at Arizona State University, co-advised by Dr. Heni Ben Amor and Dr. Georgios Fainekos. I graduated my M.Sc. in Electrical Engineering from North Carolina A&T State University in 2019. Before that, I received my B.Sc. in Electrical Engineering from Ferdowsi University of Mashhad in 2015.


My research primarily focuses on enhancing the capability of robots to operate safely in real-world environments, especially in scenarios involving human interaction. I have explored different safety-critical domains, including assistive robotics, autonomous navigation, and mobility. I approach this by combining the strengths of planning and control with data-driven techniques. Specifically, my research topic includes integrating the global optimization techniques with robot learning to ensure the robot follows a set of safety specifications. To achieve this, I am developing a novel framework combining imitation learning and neural network repair to learn safe policies for robots. I am also interested in developing computationally efficient optimization-based techniques for learning safe control policies in robot learning.

News
Oct 28, 2022
Our paper at NeurIPS 2022 Robot Learning workshop will receive a Best Paper Award!