s7dutta at uwaterloo dot ca
I am a PhD student in Electrical and Computer Engineering at the University of Waterloo, where I
am advised by Stephen Smith.
My research interests are in controls, optimization, and machine learning, with a focus
on designing efficient algorithms for sequential decision making problems that
arise in robotics.
Previously, I received a bachelor's in Computer Engineering and a master's in Systems
Design Engineering from the University of Waterloo.
During my master's, I worked with
and Graham Taylor at the intersection of
neuroscience and deep learning. My thesis is on
Correlated Noise in Deep
Convolutional Neural Networks. I also worked with Hamid Tizhoosh on image retrieval and with Dana Kulic on behaviour cloning for human motion.
During the summer of 2018, I interned at Preferred Networks in Tokyo, where I
worked with Shunta Saito and Masaki Saito on conditional
video prediction using generative models. I spent the summer of 2017 at Latent Logic in Oxford, where I worked with Joao Messias and Shimon Whiteson on 2D-3D pose reconstruction from
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