Rohith Prabakaran

L315

Science Park 123,1098 XG

Amsterdam, The Netherlands

Hey there 👋

I’m an AI researcher who loves teaching machines to predict, forecast, and make sense of messy real-world data — from figuring out what shoppers will buy next week to making MRI scans run twice as fast (because no one enjoys lying still in a noisy metal tube).

I have just started my PhD in AI at the TRL Lab, in affiliation with the University of Amsterdam. I’ll be working on Foundation Models for Predictive Tabular Machine Learning — helping AI finally understand the humble spreadsheet. (And no, your favourite LLM still can’t handle a CSV — try asking it for the average of a column.)

I recently completed my MSc in AI (Cum Laude) at the University of Amsterdam, focusing on machine learning, causality, computer vision, and time-series forecasting. During my time at WAIR, I built forecasting systems that help fashion brands keep your favourite items in stock — using transformer models that adapt on the fly through in-context learning. Before that, I worked on AI for medical imaging and earned my Bioengineering degree from City University of Hong Kong, where I first fell in love with AI.

When I’m not debugging code or praying for my model to converge, you’ll find me playing any racquet sport, running or watching Chelsea F.C. ruin my weekend (again).

If you’d like to collaborate, chat about research, or share ideas, reach out on any of my socials. 😄

News

Aug 25, 2025	Graduated cum laude with M.Sc. in Artificial Intelligence at Universiteit van Amsterdam..
Dec 31, 2024	Started my thesis at WAIR - Retail Geeks, working on zero-shot multivariate time-series forecasting for retail demand prediction..
Aug 31, 2024	Started my second year in M.Sc. in Artificial Intelligence at Universiteit van Amsterdam..
Sep 01, 2023	Started my M.Sc. in Artificial Intelligence at Universiteit van Amsterdam.
Nov 07, 2015	A long announcement with details

Selected Publications

“Studying How to Efficiently and Effectively Guide Models with Explanations” - A Reproducibility Study

Rohith Saai Pemmasani Prabakaran, Adrian Sauter, Milan Miletić, and 1 more author

Transactions on Machine Learning Research, 2024

Bib PDF Poster

@article{sauter2024studying,
  preview = model-guidance-preview.png,
  title = {{\textquotedblleft}Studying How to Efficiently and Effectively Guide Models with Explanations{\textquotedblright} - A Reproducibility Study},
  author = {Prabakaran, Rohith Saai Pemmasani and Sauter, Adrian and Mileti{\'c}, Milan and Ott, Ryan},
  journal = {Transactions on Machine Learning Research},
  issn = {2835-8856},
  year = {2024},
  url = {https://openreview.net/forum?id=9ZzASCVhDF},
}

Deep-learning-based super-resolution for accelerating chemical exchange saturation transfer MRI

Rohith Saai Pemmasani Prabakaran, Se Weon Park, Joseph HC Lai, and 7 more authors

NMR in Biomedicine, 2024

Bib PDF

@article{pemmasani2024deep,
  preview = super-resolution-preview.jpg,
  title = {Deep-learning-based super-resolution for accelerating chemical exchange saturation transfer MRI},
  author = {Pemmasani Prabakaran, Rohith Saai and Park, Se Weon and Lai, Joseph HC and Wang, Kexin and Xu, Jiadi and Chen, Zilin and Ilyas, Abdul-mojeed Olabisi and Liu, Huabing and Huang, Jianpan and Chan, Kannie WY},
  journal = {NMR in Biomedicine},
  volume = {37},
  number = {8},
  pages = {e5130},
  year = {2024},
  url = {https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/full/10.1002/nbm.5130},
}

Single-offset and multi-offset super-resolution for CEST MRI using deep transfer learning

Rohith Saai Pemmasani Prabakaran, Zilin Chen, Joseph HC Lai, and 4 more authors

In 2022 Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 2022

Bib PDF

@inproceedings{prabakaran2022single,
  preview = single-multi-ismrm-preview.jpg,
  title = {Single-offset and multi-offset super-resolution for CEST MRI using deep transfer learning},
  author = {Prabakaran, Rohith Saai Pemmasani and Chen, Zilin and Lai, Joseph HC and Park, Se Weon and Liu, Yang and Huang, Jianpan and Chan, Kannie WY},
  booktitle = {2022 Joint Annual Meeting ISMRM-ESMRMB \& ISMRT 31st Annual Meeting},
  year = {2022},
  url = {https://scholars.cityu.edu.hk/en/publications/single-offset-and-multi-offset-super-resolution-for-cest-mri-usin},
  pdf = ismrm-22.pdf,
}