About me
Greetings, I’m Sid. I’m currently a Machine Learning Engineer with EA Sports at Electronic Arts. I work primarily on research, development and applications of Machine Learning in simulated physics, animation and character control for video games. While I remain actively engaged with ML research, I am less involved in academic publishing since completing my Ph.D. due to the proprietary nature of much of the code and data we work with at EA.
I received my PhD in Computer Science from Boston University, where I was advised by Prof. Kate Saenko, as a part of her research group. Before my PhD, I worked for a year as a research assistant under Kostas Daniilidis at the University of Pennsylvania (Penn), as a part the GRASP Lab, where I had also completed my MSE in Robotics in 2016; and before that, I obtained a MEng in Mechatronic Engineering from the University of Nottingham.
PhD Work
I mainly studied how RL agents can be motivated to learn specific behavior styles and switch efficiently between styles, and this was conducted jointly with researchers at Electronic Arts. Our work was published in ICLR 2022.
I was also involved with research around the neuroflight platform, which seeks to build a neural network based flight controller for high performance racing drones. My work on this platform focused on improving the smoothness of learned RL policies and stable on-line training. Before I graduated, we began extending reserarch into controller certification and I would recommend following my co-author Bassel El Mabsout for updates. Our work has been published in ICRA 2021 and TCPS 2021.
Additionally, I was involved in research employing RL in the Computer Aided Design (CAD) process to help users ensure their designs fit specific physical properties. Results form this work has been accepted for publication at SCF 2021.
Note(s):
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