Parallel computation of natural convection in trapezoidal porous enclosures. - B. V. Rathish Kumar; Bipin Kumar (Math. Comput. Simul., 2004)

On the development of parallel sparse CGM solver for CFD computations on Anu-cluster. - B. V. Rathish Kumar; Bipin Kumar (Appl. Math. Comput., 2005)

Parallel preconditioners for heat transfer applications on ANU-cluster. - B. V. Rathish Kumar; Bipin Kumar (Appl. Math. Comput., 2005)

High-Performance Computing of Multiphase Flow. - Bipin Kumar; Yan Delauré; Martin Crane (ERCIM News, 2008)

On the Volume of fluid method for Multiphase fluid Flow simulation. - Bipin Kumar; Martin Crane; Yan Delauré (Int. J. Model. Simul. Sci. Comput., 2013)

Deep-learning based down-scaling of summer monsoon rainfall data over Indian region. - Bipin Kumar; Rajib Chattopadhyay; Manmeet Singh; Niraj Chaudhari; Karthik Kodari; Amit Barve (CoRR, 2020)

Deep learning for improved global precipitation in numerical weather prediction systems. - Manmeet Singh; Bipin Kumar; Dev Niyogi; A. Suryachandra Rao; Sukhpal Singh Gill; Rajib Chattopadhyay; Ravi S. Nanjundiah (CoRR, 2021)

Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia. - Manmeet Singh; Bipin Kumar; Rajib Chattopadhyay; K. Amarjyothi; Anup K. Sutar; Sukanta Roy; A. Suryachandra Rao; Ravi S. Nanjundiah (CoRR, 2021)

Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges. - Bipin Kumar; Matt Rehme; Neethi Suresh; Nihanth W. Cherukuru; Stanislaw Jaroszynski; Samual Li; Scott Pearse; Tim Scheitlin; A. Suryachandra Rao; Ravi S. Nanjundiah (Parallel Comput., 2021)

Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction. - Manmeet Singh; Vaisakh S. B; Nachiketa Acharya; A. Suryachandra Rao; Bipin Kumar; Zong-Liang Yang; Dev Niyogi (CoRR, 2022)

Development of NCL equivalent serial and parallel python routines for meteorological data analysis. - Jatin Gharat; Bipin Kumar; Leena Ragha; Amit Barve; Shaik Mohammad Jeelani; John P. Clyne (Int. J. High Perform. Comput. Appl., 2022)

Quantum Computing to Study Cloud Turbulence Properties. - Mukta Nivelkar; Sunil Bhirud; Manmeet Singh; Rahul Ranjan; Bipin Kumar (IEEE Access, 2023)

On the modern deep learning approaches for precipitation downscaling. - Bipin Kumar; Kaustubh Atey; Bhupendra Bahadur Singh; Rajib Chattopadhyay; Nachiketa Acharya; Manmeet Singh; Ravi S. Nanjundiah; A. Suryachandra Rao (Earth Sci. Informatics, 2023)

Towards Location-Specific Precipitation Projections Using Deep Neural Networks. - Bipin Kumar; Bhvisy Kumar Yadav; Soumypdeep Mukhopadhyay; Rakshit Rohan; Bhupendra Bahadur Singh; Rajib Chattopadhyay; Nagraju Chilukoti; Atul Kumar Sahai (CoRR, 2025)