Rishabh Mondal

Rishabh Mondal

Hallo, Freunde, I am Rishabh Mondal (ঋষভ মণ্ডল). In Bengali, “Rishabh” means superior and also refers to the second note (Re) in the octave of Indian classical music: a sound associated with harmony and grace.

My research lies at the intersection of Earth Observation and Computer Vision, with a focus on environmental monitoring, geographical domain generalization, and foundation models for remote sensing. I am currently a Ph.D. scholar at the Sustainability Lab, IIT Gandhinagar, supervised by Prof. Nipun Batra. I hold an M.Tech (2023) in Information Technology from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur, where I worked under the guidance of Dr. Prasun Ghosal in the domain of TinyML, and a B.Tech (2021) in Computer Science and Engineering from The Neotia University, Kolkata.

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  • Geographical Location Encoder
    February 2026
    A walkthrough of the ICLR 2024 paper that brings century-old physics into modern geospatial ML, explaining how spherical harmonics improve location encoding for neural networks.
    Deep Learning Geospatial AI
  • Coming Soon: Remote Sensing Foundation Models
    Coming Soon
    An overview of foundation models in remote sensing and their applications for environmental monitoring.
    Remote Sensing Foundation Models

Open to Project With Me [Student to Student]

I believe in peer-to-peer learning and collaborative research. If you are a student (undergraduate, masters, or early PhD) from any institution interested in working together on research projects, I would love to hear from you!

What I Offer

  • Mentorship: Guidance on research methodology, paper writing, and project execution
  • Collaboration: Work on real-world problems in Earth Observation, Computer Vision
  • Learning: Projects-on satellite imagery, deep learning, and geospatial analysis

Looking For

  • Students passionate about Computer Vision and Earth Observation
  • Self-motivated individuals who can commit 15-20 hours/week
  • Deep learning & PyTorch preferred
  • We will learn and grow together!

Project Areas

Project list will be updated soon. Potential areas include:

  • Foundation models for satellite imagery
  • Environmental monitoring using satellite imagery
  • Geospatial domain adaptation and generalization
  • AI for sustainability applications

Interested? Drop me an email with:

  1. A brief introduction about yourself
  2. Your research interests
  3. Why you want to collaborate

iamr38579@gmail.com