Bhaskar Chaudhury
Orcid: 0000-0001-7618-3737
According to our database1,
Bhaskar Chaudhury authored at least 37 papers
between 2015 and 2026.
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Bibliography
2026
Assessing the impact of Open Research Information Infrastructures using NLP driven full-text Scientometrics: A case study of the LXCat open-access platform.
CoRR, February, 2026
Exploring Topic Trends in COVID-19 Research Literature Using Nonnegative Matrix Factorization.
IEEE Trans. Artif. Intell., January, 2026
Physics guided Fourier Neural Operator framework for accelerated simulation of high power microwave breakdown.
Eng. Appl. Artif. Intell., 2026
2025
Hybrid Fourier Neural Operator-Plasma Fluid Model for Fast and Accurate Multiscale Simulations of High Power Microwave Breakdown.
CoRR, September, 2025
Benchmarking and Parallelization of Electrostatic Particle-In-Cell for low-temperature Plasma Simulation by particle-thread Binding.
CoRR, June, 2025
Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization.
CoRR, March, 2025
Integrating Research into High Performance Computing Education via Particle-in-Cell Simulations.
Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025
Accelerating Parallel Particle-in-Cell Code using DPC++ SYCL on Heterogeneous Architectures.
Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025
2024
CONCORD: enhancing COVID-19 research with weak-supervision based numerical claim extraction.
J. Intell. Inf. Syst., December, 2024
Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis.
CoRR, 2024
Capability enhancement of the X-ray micro-tomography system via ML-assisted approaches.
CoRR, 2024
2023
Predicting physical computer systems performance and power from simulation systems using machine learning model.
Computing, May, 2023
Deep Learning assisted microwave-plasma interaction based technique for plasma density estimation.
CoRR, 2023
Performance prediction from simulation systems to physical systems using machine learning with transfer learning and scaling.
Concurr. Comput. Pract. Exp., 2023
2022
Deep Learning Architecture Based Approach For 2D-Simulation of Microwave Plasma Interaction.
CoRR, 2022
Parallel algorithm for synthetic image generation with application to tokamak plasma diagnostics.
Concurr. Comput. Pract. Exp., 2022
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022
2021
Parallel Comput., 2021
Extracting electron scattering cross sections from swarm data using deep neural networks.
Mach. Learn. Sci. Technol., 2021
Principal component analysis based construction and evaluation of cryptocurrency index.
Expert Syst. Appl., 2021
Data Driven and Visualization based Strategization for University Rank Improvement using Decision Trees.
CoRR, 2021
Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021
Scalable parallel algorithm for fast computation of Transitive Closure of Graphs on Shared Memory Architectures.
Proceedings of the 6th IEEE/ACM International Workshop on Extreme Scale Programming Models and Middleware, 2021
2020
Evaluation of Neural Network Models for Performance Prediction of Scientific Applications.
Proceedings of the 2020 IEEE Region 10 Conference, 2020
Multivariate Performance and Power Prediction of Algorithms on Simulation-Based Hardware Models.
Proceedings of the 19th International Symposium on Parallel and Distributed Computing, 2020
Proceedings of the 3rd International Symposium on Devices, Circuits and Systems, 2020
Proceedings of the Sixth International Conference on Mathematics and Computing, 2020
Inverse Kinematics Based Computational Framework for Robot Manipulation Inspired by Human Movements.
Proceedings of the Sixth International Conference on Mathematics and Computing, 2020
Proceedings of the 11th International Conference on Computing, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Modeling Performance and Power on Disparate Platforms Using Transfer Learning with Machine Learning Models.
Proceedings of the Modeling, Simulation and Optimization, 2020
2018
<i>Let's HPC</i>: A web-based platform to aid parallel, distributed and high performance computing education.
J. Parallel Distributed Comput., 2018
Accelerated simulation of microwave breakdown in gases on Xeon Phi based cluster-application to self-organized plasma pattern formation.
Comput. Phys. Commun., 2018
Priority based functional group identification of organic molecules using machine learning.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018
2017
Let's HPC: A web-based interactive platform to aid High Performance Computing education.
CoRR, 2017
A Novel Implementation of 2D3V Particle-in-Cell (PIC) Algorithm for Kepler GPU Architecture.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017
2015