My Work

Projects

Some of my favorite projects are listed below:

• Graph Neural Networks for Rainfall Variability
  Developed a GNN architecture to model spatio-temporal rainfall patterns over India using GSMaP ISRO satellite data.
• Adaptive Sampling Approach for Voronoi Diagrams of 3D Spheres
  Proposed and implemented a computationally efficient method for constructing 3D Voronoi diagrams with non-uniform sampling.
• FNOs for Predicting Fuel Sloshing
  Developed a FNO model to predict fule sloshing fields in real-time for space based applications.
• DiceForge: A PRNG in C++
  Designed a state-of-the-art pseudorandom number generator with appropriate statistical validation.
• DSMC for Simulating Rarefied Gas Flow
  Implemented the Direct Simulation Monte Carlo method to analyze non-continuum flow regimes in aerospace applications.

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Publications

• ZA, Sasinas Alias Haritha, Manoj Kumar Mukundan, Amrisha Srivastava, Pradyumnan Raghuveeran, Yegneswaran RV, and Ramanathan Muthuganapathy. “Delaunay triangulation-based sampling approach for the Voronoi diagram of spheres.” Computers & Graphics (2026): 104702.

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Conference Presentations

• Pradyumnan Raghuveeran, Gaurav Chopra, Ajay Bankar, R I Sujith (2026, January 25-29). Graph Neural Networks for Predicting Rainfall Stability Over India [Oral Presentation]. 25th Conference on Artificial Intelligence for Environmental Science, 106th AMS Annual Meeting, Houston, TX.

• Pradyumnan Raghuveeran, Gaurav Chopra, Ajay Bankar, R I Sujith (2025, November 18-20). Graph Neural Network Based Rainfall Stability Prediction Over India Using Precipitation Gauge Data [Poster Presentation]. International Symposium on Tropical Meteorology 2025, Pune, India.

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_{Last updated: July 2026}