Vishal Nedungadi

I am Vishal Nedungadi, currently a PhD student at Wageningen University and Research, where I am supervised by Ioannis N. Athanasiadis and Marc Rußwurm. Prior to this I was working in several research labs as follows:

Research Associate at Mohamed bin Zayed University of Artificial Intelligence at Abu Dhabi, supervised by Dr. Salman Khan in the domain of weather and climate forecasting.
Visiting Researcher at the Pioneer Center For AI at the University of Copenhagen, Denmark, supervised by Nico Lang and Serge Belongie in representation learning for earth observation data.
Researcher at KTH, Sweden, supervised by Yifang Ban in Wildfire monitoring.

Before these research visits, I completed my Master’s degree (July 2023) in Machine Learning from KTH, Stockholm, Sweden.

My research interests encompass Deep Learning and Computer Vision, with a recent focus on practical Machine Learning applications (environmentally focused), particularly in Remote Sensing and what I like to call eco-conscious AI. My current research has led me to have a specific interest in multi-modal learning and representation learning. I am currently trying to understand more about embeddings and what they can do.

Feel free to reach out to me for potential research collaborations.

news

Jul 19, 2025	Our perspective paper on Foundation Models for agriculture has been accepted to the SEA workshop at ICCV 2025 !!!
Jun 24, 2025	AirCast has been accepted to the TerraBytes workshop at ICML 2025 !!!
May 19, 2025	New preprint AirCast is out !!!
Aug 12, 2024	MMEarth has been accepted to ECCV’24 !!!

selected publications

From General to Specialized: The Need for Foundational Models in Agriculture

Vishal Nedungadi, Xingguo Xiong, Aike Potze, Ron Van Bree, Tao Lin, Marc Rußwurm, and Ioannis N. Athanasiadis

Accepted to the SEA Workshop at ICCV , 2025

Bib HTML

@misc{nedungadi2025generalspecializedneedfoundational,
  title = {From General to Specialized: The Need for Foundational Models in Agriculture},
  author = {Nedungadi, Vishal and Xiong, Xingguo and Potze, Aike and Bree, Ron Van and Lin, Tao and Rußwurm, Marc and Athanasiadis, Ioannis N.},
  year = {2025},
  eprint = {2507.05390},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  url = {https://arxiv.org/abs/2507.05390},
}

AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment

Vishal Nedungadi, Muhammad Akhtar Munir, Marc Rußwurm, Ron Sarafian, Ioannis N. Athanasiadis, Yinon Rudich, Fahad Shahbaz Khan, and Salman Khan

Accepted to the TerraBytes Workshop at ICML , 2025

Bib HTML

@misc{nedungadi2025aircastimprovingairpollution,
  title = {AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment},
  author = {Nedungadi, Vishal and Munir, Muhammad Akhtar and Rußwurm, Marc and Sarafian, Ron and Athanasiadis, Ioannis N. and Rudich, Yinon and Khan, Fahad Shahbaz and Khan, Salman},
  year = {2025},
  eprint = {2502.17919},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2502.17919},
}

MMEarth: Exploring multi-modal pretext tasks for geospatial representation learning

Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge Belongie, Christian Igel, and Nico Lang

In European Conference on Computer Vision, Accepted at ECCV , 2024

Bib HTML

@inproceedings{nedungadi2024mmearth,
  title = {MMEarth: Exploring multi-modal pretext tasks for geospatial representation learning},
  author = {Nedungadi, Vishal and Kariryaa, Ankit and Oehmcke, Stefan and Belongie, Serge and Igel, Christian and Lang, Nico},
  year = {2024},
  booktitle = {European Conference on Computer Vision},
  pages = {164--182},
  organization = {Springer}
}