Bhaskar Chaudhury

About

Dr. Bhaskar Chaudhury completed his Ph.D. at Institute for Plasma Research, India (an R & D organization under the Department of Atomic Energy). Currently he serves as a Professor at DA-IICT. Prior to joining the faculty at DA-IICT, he worked as a researcher for around six years at LAPLACE Laboratory, CNRS, Toulouse, France. He has been involved in active research and teaching in the areas of Computational and Data Sciences, Computational Plasma Physics, High Performance Computing, and applications of Artificial Intelligence and Machine Learning.

He has been the Principal Investigator for several research projects sponsored by the Department of Atomic Energy, Department of Science and Technology, Indian Space Research Organization, National Supercomputing Mission, GUJCOST, National Science Foundation, USA and NVIDIA Corporation, USA. He has authored more than 100 research papers in reputed peer reviewed journals/ conference proceedings/ book chapters.

He has delivered various talks/presentations worldwide and has received several international/national awards in the area of Computational Science such as prestigious Oscar Buneman Award for the most insightful scientific visualization at 21st ICNSP, Lisbon, Portugal; Swarnajayanti Purashkar 2005 by the National Academy of Sciences, India at 75th Annual Session of NASI; Best Presentation Prize awarded by IOP, at International Workshop on Frontiers of Plasma Physics at International Center for Theoretical Physics (ICTP), Trieste, Italy, 2006.

Dr. Chaudhury serves as a reviewer for several esteemed scientific and engineering journals and has also taken on the role of editor/co-editor for special issues in reputable journals. He has served as a member of the technical program committee of many international conferences. He has served as an External Expert in Faculty/Scientist Selection/Promotion Committees, PhD progress review committees and as External PhD Thesis Examiner of various Research and Academic Institutes/Universities. Dr. Chaudhury has provided guidance and supervision to numerous students, overseeing the completion of PhD and M.Tech. theses as well as mentoring undergraduate (UG) and postgraduate (PG) students within the expansive domains of Computational and Data Sciences.

Employment

• Dhirubhai Ambani Institute of Information and Communication Technology Professor
  2014 - Present
• Laboratoire Plasma et Conversion d'Énergie Researcher
  2010 - 2013
• Université Paul Sabatier Toulouse III UFR PCA Plasmax Postdoctoral Fellow
  2008 - 2010

Education

• Institute for Plasma Research PhD (Computational Physics)
  2002 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (71)

• Benchmarking deep learning models for accurate and efficient 2D simulations of microwave-plasma interaction
  Physics of Plasmas 2026 DOI: 10.1063/5.0320578
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• Insights into the influence of wall boundary conditions on plasma transport across magnetic filter fields in negative Ion sources using 2D-3 V massively parallel PIC-MCC simulations
  Plasma Physics and Controlled Fusion 2026 DOI: 10.1088/1361-6587/ae5d6e
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• Physics guided Fourier Neural Operator framework for accelerated simulation of high power microwave breakdown
  Engineering Applications of Artificial Intelligence 2026 DOI: 10.1016/j.engappai.2026.113889
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• Electron–neutral cross-section data variability and uncertainty quantification in 2D-3 V PIC-MCC simulations of low temperature plasmas
  Journal of Physics D: Applied Physics 2026 DOI: 10.1088/1361-6463/ae2d68
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• Exploring Topic Trends in COVID-19 Research Literature Using Nonnegative Matrix Factorization
  IEEE Transactions on Artificial Intelligence 2026 DOI: 10.1109/TAI.2025.3579459
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• Early prediction of current quench events in the ADITYA tokamak using transformer based data driven model
  Fusion Engineering and Design 2026 DOI: 10.1016/j.fusengdes.2026.115832
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• Efficient SVD-based approach for extracting plasma-relevant features from tokamak imaging diagnostics
  Plasma Physics and Controlled Fusion 2025 DOI: 10.1088/1361-6587/adf99a
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• Understanding and Attaining an Investment Grade Rating in the Age of Explainable AI
  Computational Economics 2025 DOI: 10.1007/s10614-024-10700-7
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• Efficient Data-Driven Simulation of Microwave Interaction With Complex Plasma Profiles
  2024 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON) 2024 DOI: 10.1109/mapcon61407.2024.10923364
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• Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis
  Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER) 2024 DOI: 10.18653/v1/2024.fever-1.21
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