Bhaskar Chaudhury
Scholar

Bhaskar Chaudhury

Google Scholar ID: Bp4D0JoAAAAJ
Professor, DA-IICT(www.daiict.ac.in)
Computational Plasma PhysicsData ScienceHigh Performance ComputingAI & MLLow Temp Plasmas
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Citations & Impact
All-time
Citations
1,018
 
H-index
16
 
i10-index
25
 
Publications
20
 
Co-authors
0
 
Publications
6 items
Interpretable statistical feature engineering for early disruption prediction in the short pulse ADITYA tokamak
2026
Cited
0
Data-Driven Reconstruction of Spatially Resolved Electron and Ion Energy Distributions from Macroscopic Plasma Quantities with Deep Neural Networks
2026
Cited
0
Assessing the impact of Open Research Information Infrastructures using NLP driven full-text Scientometrics: A case study of the LXCat open-access platform
2026
Cited
0
Hybrid Fourier Neural Operator-Plasma Fluid Model for Fast and Accurate Multiscale Simulations of High Power Microwave Breakdown
2025
Cited
0
Benchmarking and Parallelization of Electrostatic Particle-In-Cell for low-temperature Plasma Simulation by particle-thread Binding
2025
Cited
0
Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization
2025
Cited
0
Resume
Background
  • Research spans interdisciplinary domains at the interface of Computational Science, Plasma Engineering, Data Science, and Applied AI
  • Recent work focuses on applying Computational Methods, Deep Learning, and High Performance Computing to complex problems in Low Temperature Plasmas, Fusion Energy, and other data-intensive fields
  • Leads a research group developing computational and machine learning-based data-driven models for critical scientific and engineering applications
  • Emphasizes numerical simulations on advanced HPC systems, synthetic data generation, information visualization, and interpretation of large-scale data
  • Prioritizes enhancing model interpretability, accuracy, and efficiency to extract insights from complex data in high-stakes domains