Greetings, I’m Sid. I’m currently a PhD student with the computer science department at Boston University. I currently work under the advisement of Kate Saenko, as a part of her research group, which is a part of the Image and Video Computing (IVC) group at BU.
Before starting my PhD at BU in the Fall of 2017, 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. Prior to joining Penn, I obtained a MEng in Mechatronic Engineering from the University of Nottingham, in 2014.
I am broadly interested in researching techniques and tools that exploit the versatility of data generated in simulations to develop more robust AI, with tentative applications in robotics, augmented-reality, virtual-reality, and game development. I am especially interested in utilizing the graphics and physics capabilities of game engines for improved robustness in simulated environments, with the goal of constructing sandbox environments and training schemes which in turn allow for the development of more robust machine learning (ML) polcies. Being a part of the Image and Video Computing group, I am also generally interested in applications of computer vision, with more of a focus on real-time perception, as was motivated by my background in robotics.
My current research primarily involves studying simulation-to-real domain adaption for applications in robotics. We investigate techniques to bridge the reality gap when applying control policies learned in simulation to real robots.
Additionally, I am also involved in research employing RL in the Computer Aided Design (CAD) process to help users ensure their designs fit specific physical properties.
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