Uddeshya Upadhyay

Researcher by day. Engineer by night || Previously undergrad @ Computer Science, IIT-Bombay.

Who am I?

Hey, there! Uddeshya here.

I hold a bachelor’s and a master’s degree in Computer Science and Engineering from IIT-Bombay. Having a research bent of mind, I am fascinated by interdisciplinary RnD work happening at the intersection of computer science, machine learning, biomedical engineering, and healthcare analytics. These days I am exploring Bayesian Deep Learning, Uncertainty Estimation, and Explainable AI (XAI) for vision-based applications (follow me for updates!).

As an undergrad at IIT-B, I worked closely with Prof. Suyash P Awate on robust deep generative models for computer vision, quality enhancement, and uncertainty estimation using Bayesian Deep Learning techniques. I also worked with Prof. Biplab Banerjee on representation learning. In past, I’ve had wonderful opportunities to work with Prof. Arjun Jain, Prof. Anupam Chattopadhyay (summer intern, 2017), and Dr. Eric Nichols (summer intern, 2018).

BTW, here’s a cool lofi track that I find helpful while working.
Here’s a video of Prof. R. Feynman talking about Mathematician vs. Physicists.
I believe something similar can be said for Researchers vs. Engineers.


likelihood of finding me in one of these 3 cities is very high!

BOM || BLR || HYD

uddeshya.upa@gmail.com

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news

Jun30,2020 Our recent work on learnable quasi-norm based uncertainty estimation for robust medical image synthesis got accepted at ICML workshop on Uncertainty and Robustness in Deep Learning
Apr30,2020 Our recent work on compact representational learning got accepted at IEEE ISBI-2020, Iowa, USA (later converted to virtual event)
Aug30,2019 I recieved MICCAI undergraduate travel award
Jun30,2019 Our work on Mixed-Supervision Multi-Level GANs got accepted in MICCAI-2019
Apr30,2019 I’ll present orally my work on Robust Super Resolution GANs at IEEE ISBI-2019, Venice, Italy. It was also among the top-10 papers, nominated for Best Paper Award
Mar30,2019 My internship led to a work on spinal MRI analysis that got accepted at IEEE IJCNN-2019, Budapest, Hungary as Full oral presentation