Parallel Processing Approaches for Multi Disciplinary Optimization. - Florin Bogdan Manolache; Sorin Costiner; Ricardo Munoz; Shubhro Ghosh; Nikunj Gupta; Roderick Ross (Sci. Ann. Cuza Univ., 2002)

Performance Evaluation of ParalleX Execution model on Arm-based Platforms. - Nikunj Gupta; Rohit Ashiwal; Bine Brank; Sateesh K. Peddoju; Dirk Pleiter (CLUSTER, 2020)

Deploying a Task-based Runtime System on Raspberry Pi Clusters. - Nikunj Gupta; Steven R. Brandt; Bibek Wagle; Nanmiao Wu; Alireza Kheirkhahan; Patrick Diehl; Felix W. Baumann; Hartmut Kaiser (ESPM2@SC, 2020)

Towards Distributed Software Resilience in Asynchronous Many- Task Programming Models. - Nikunj Gupta; Jackson R. Mayo; Adrian S. Lemoine; Hartmut Kaiser (FTXS@SC, 2020)

Implementing Software Resiliency in HPX for Extreme Scale Computing. - Nikunj Gupta; Jackson R. Mayo; Adrian S. Lemoine; Hartmut Kaiser (CoRR, 2020)

HPX - The C++ Standard Library for Parallelism and Concurrency. - Hartmut Kaiser; Patrick Diehl; Adrian S. Lemoine; Bryce Lelbach; Parsa Amini; Agustín Berge; John Biddiscombe; Steven R. Brandt; Nikunj Gupta; Thomas Heller; Kevin A. Huck; Zahra Khatami; et al. (J. Open Source Softw., 2020)

Parallel SIMD - A Policy Based Solution for Free Speed-Up using C++ Data-Parallel Types. - Srinivas Yadav; Nikunj Gupta; Auriane Reverdell; Hartmut Kaiser (ESPM2@SC, 2021)

HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging. - Nikunj Gupta; G. Srinivasaraghavan 001; Swarup Kumar Mohalik; Matthew E. Taylor (CoRR, 2021)

Quantifying Overheads in Charm++ and HPX Using Task Bench. - Nanmiao Wu; Ioannis Gonidelis; Simeng Liu; Zane Fink; Nikunj Gupta; Karame Mohammadiporshokooh; Patrick Diehl; Hartmut Kaiser; Laxmikant V. Kalé (Euro-Par Workshops, 2022)

Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms. - Shengjia Chen; Nikunj Gupta; Woodward B. Galbraith; Valay Shah; Jacopo Cirrone (ICBBE, 2022)

Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java. - Patrick Diehl; Max Morris; Steven R. Brandt; Nikunj Gupta; Hartmut Kaiser (Euro-Par Workshops, 2023)

Planning Multiple Epidemic Interventions with Reinforcement Learning. - Anh L. Mai; Nikunj Gupta; Azza Abouzied; Dennis E. Shasha (IJCAI, 2023)

Predicting blood pressure under circumstances of missing data: An analysis of missing data patterns and imputation methods using NHANES. - Harish Chauhan; Nikunj Gupta; Zoe Haskell-Craig (CoRR, 2023)

CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning. - Nikunj Gupta; Samira Ebrahimi Kahou (CoRR, 2023)

Understanding human mobility patterns in Chicago: an analysis of taxi data using clustering techniques. - Harish Chauhan; Nikunj Gupta; Zoe Haskell-Craig (CoRR, 2023)

Efficient ResNets: Residual Network Design. - Aditya Thakur 004; Harish Chauhan; Nikunj Gupta (CoRR, 2023)

On the calibration of compartmental epidemiological models. - Nikunj Gupta; Anh L. Mai; Azza Abouzied; Dennis E. Shasha (CoRR, 2023)

Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms. - Samuel Wiggins; Nikunj Gupta; Grace Zgheib; Mahesh A. Iyer; Viktor K. Prasanna (Euro-Par (3), 2025)

Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning. - Nikunj Gupta; James Zachary Hare; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)

hammer: Multi-level coordination of reinforcement learning agents via learned messaging. - Nikunj Gupta; G. Srinivasaraghavan 001; Swarup Mohalik; Nishant Kumar; Matthew E. Taylor (Neural Comput. Appl., 2025)