I am a PhD student in ECE at UWaterloo, working with Stephen Smith and part of the Autonomous Systems Lab. My research interests lie in controls, optimization, and machine learning with a focus on applications in robotics.
I received my bachelor's in ECE and master's in SYDE from UWaterloo. During my master's, I worked with Bryan Tripp and Graham Taylor on neuroscience and deep learning. I also had the pleasure of working with Hamid Tizhoosh and Dana Kulic during my bachelor's. I interned at Preferred Networks in Tokyo in 2018, Latent Logic (now Waymo) in Oxford in 2017, and Amazon Search in Palo Alto in 2016.
I can be reached at s7dutta at uwaterloo dot ca.
Convolutional Neural Networks Regularized by Correlated
Shamak Dutta, Bryan Tripp, and Graham W. Taylor.
Barcodes for Medical Image Retrieval Using Autoencoded Radon
H.R. Tizhoosh, Christopher Mitcheltree, Shujin Zu, Shamak Dutta.
Correlated Noise in Deep Convolutional Neural Networks.
MASc Thesis, University of Waterloo. 2019.