Shravan Nayak

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Hi! I am Shravan Nayak. I am currently pursuing my research masters in computer science at Mila and the University of Montreal, where I am supervised by Prof. Aishwarya Agrawal. At MILA, my focus lies in developing vision language systems that transcend linguistic barriers and cater to diverse demographics. Imagine a world where the language is no longer a barrier but a bridge, connecting people across cultures and backgrounds. This vision fuels my research and fuels my determination to create a more inclusive technological landscape for all.

Prior to starting my grad studies, I spent two years at Microsoft, contributing to the PowerPoint mobile team. I played a key role in crafting user experiences, developing features like background customization and text highlighting. If you’ve ever used PowerPoint on your mobile phones, chances are you’ve encountered my work, even if unknowingly!

Alongside, I’ve been deeply involved in artificial intelligence research for over four years. I have worked on reinforcement learning for energy mangement in microgrid networks at IISc, dubbing at LT Lab in Hamburg, and machine translation for low resource languages at the University of Toronto.

In my free time, I love to cook and explore archaeology. Right now, I’m diving into the history of the Harappan civilization and hope to study the history of the entire world one day.

News

Nov 11, 2023 Received a scholarship of 3000 CAD from University of Montreal :)
Apr 5, 2023 Got admission into masters programs of CMU, Mila, Columbia and JHU. Decided to pursue CS research masters at Mila with full funding under Prof. Aishwara Agrawal.
Mar 3, 2023 Our paper “Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation” has been accepted to appear in the PML4DC Workshop at ICLR 2023.
Jul 18, 2022 Our paper “A Deep Dive Into Neural Synchrony Evaluation for Audio-Visual Translation” has been accepted to appear in ICMI 2022.
Apr 20, 2022 Our paper “Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel’s Weekly Video Podcasts” has been accepted to appear in LREC 2022