Sidharth Gupta

I enjoy solving impact­ful engine­ering and science problems using machine learning and signal processing. Currently I am doing this at Amazon in London, UK, where I am an Applied Scientist.

I completed my PhD in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC), USA, where I was advised by Ivan Dokmanić. My primary focus was on designing algorithms and techniques for solving image reconstruction problems. Particularly interesting applications that I looked at were imaging through paint, seismic imaging and xray medical imaging. I have also experimentally demonstrated that some of the imaging methods that I developed can enable optical computing which is to do with using light to perform mathematical operations.

During my PhD I did research internships in adversarial machine learning and speech enhancement at IBM and Microsoft. I also spent almost three years at Samsung Research in South Korea where I designed new APIs for smartphones, smart TVs, smartwatches and other IoT devices. Prior to all of this, I graduated from Churchill College at the University of Cambridge with bachelor's and master's degrees in Engineering.


5 December 2022 I started as an Applied Machine Learning Scientist at Amazon in London, UK
21 November 2022 I successfully defended my PhD thesis
28 October 2021 Total Least Squares Phase Retrieval accepted into IEEE Transactions on Signal Processing 2021
24 May 2021 I will be a Research Intern at Microsoft in Redmond, Washington (virtual), USA
19 March 2021 I was awarded an Outstanding Reviewer Award for reviewing at International Conference for Learning Representations (ICLR) 2021
23 May 2020 Best paper award Improving the Affordability of Robustness Training for DNNs accepted as an oral into the Computer Vision and Pattern Recognition (CVPR) workshop on Adversarial Machine Learning in Computer Vision as a long paper and will appear in the CVPR proceedings
23 March 2020 Awarded the Dr. Ok Kyun Kim Fellowship for 2020-2021
24 January 2020 Fast Optical System Identification by Numerical Interferometry accepted as an oral into IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
3 September 2019 Don't take it lightly: Phasing optical random projections with unknown operators accepted into Advances in Neural Information Processing Systems (NeurIPS) 2019
28 May 2019 I will be a Research Intern at IBM Research in Yorktown Heights, New York, USA
1 February 2019 Solving Complex Quadratic Equations with Full-rank Random Gaussian Matrices accepted into IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019
15 January 2019 I will be the teaching assistant for the first edition of a new course ECE 598ID: Inverse problems and learning
20 December 2018 Random mesh projectors for inverse problems accepted into International Conference for Learning Representations (ICLR) 2019
15 August 2017 I started my PhD in Electrical Engineering at UIUC

Selected publications

Full list available on Google Scholar.