| A turbulent eddy-viscosity surrogate modeling framework for Reynolds-averaged Navier-Stokes simulations R Maulik, H Sharma, S Patel, B Lusch, E Jennings Computers & Fluids 227, 104777, 2021 | 74 | 2021 |
| Accelerating RANS turbulence modeling using potential flow and machine learning R Maulik, H Sharma, S Patel, B Lusch, E Jennings arXiv preprint arXiv:1910.10878, 2019 | 32 | 2019 |
| Control co-design of commercial building chiller plant using Bayesian optimization A Bhattacharya, S Vasisht, V Adetola, S Huang, H Sharma, DL Vrabie Energy and Buildings 246, 111077, 2021 | 31 | 2021 |
| A transfer operator methodology for optimal sensor placement accounting for uncertainty H Sharma, U Vaidya, B Ganapathysubramanian Building and Environment 155, 334-349, 2019 | 29 | 2019 |
| Deploying deep learning in OpenFOAM with TensorFlow R Maulik, H Sharma, S Patel, B Lusch, E Jennings AIAA Scitech 2021 Forum, 1485, 2021 | 27 | 2021 |
| Deterministic and Bayesian Neural Networks for Low-latency Gravitational Wave Parameter Estimation of Binary Black Hole Mergers H Shen, EA Huerta, Z Zhao, E Jennings, H Sharma arXiv preprint arXiv:1903.01998, 2019 | 22* | 2019 |
| On the impacts of occupancy sensing on advanced model predictive controls in commercial buildings H Sharma, S Bhattacharya, S Kundu, VA Adetola Building and Environment 222, 109372, 2022 | 13 | 2022 |
| Data-driven modeling of power generation for a coal power plant under cycling H Sharma, L Marinovici, V Adetola, HT Schaef Energy and AI 11, 100214, 2023 | 9 | 2023 |
| Surrogate modeling approach towards coupling computational fluid dynamics and energy simulations for analysis and design of energy efficient attics H Sharma, AD Fontanini, KS Cetin, J Kośny, B Ganapathysubramanian Building and Environment 149, 196-209, 2019 | 9 | 2019 |
| Uncertainty aware machine-learning-based surrogate models for particle accelerators: Study at the Fermilab Booster Accelerator Complex M Schram, K Rajput, KS NS, P Li, JS John, H Sharma Physical Review Accelerators and Beams 26 (4), 044602, 2023 | 8 | 2023 |
| Adversar: Adversarial search and rescue via multi-agent reinforcement learning A Rahman, A Bhattacharya, T Ramachandran, S Mukherjee, H Sharma, ... 2022 IEEE International Symposium on Technologies for Homeland Security (HST …, 2022 | 8 | 2022 |
| Estimating contaminant distribution from finite sensor data: Perron Frobenious operator and ensemble Kalman Filtering H Sharma, U Vaidya, B Ganapathysubramanian Building and Environment 159, 106148, 2019 | 8 | 2019 |
| Transfer operator theoretic framework for monitoring building indoor environment in uncertain operating conditions H Sharma, AD Fontanini, U Vaidya, B Ganapathysubramanian 2018 Annual American Control Conference (ACC), 6790-6797, 2018 | 8 | 2018 |
| Sensor impact evaluation in commercial buildings: The case of occupancy-centric controls X Lu, S Bhattacharya, H Sharma, V Adetola, Z O’Neill Energy and Buildings 267, 112134, 2022 | 7 | 2022 |
| Physics informed deep neural network embedded in a chemical transport model for the Amazon rainforest H Sharma, M Shrivastava, B Singh npj Climate and Atmospheric Science 6 (1), 28, 2023 | 6 | 2023 |
| Computational assessment of rainfall effects on aircraft aerodynamic characteristics H Sharma, S Harshe, S Vekaria, M Singh, M Damodaran, BC Khoo 33rd AIAA applied aerodynamics conference, 3164, 2015 | 6 | 2015 |
| Accelerating RANS turbulence modeling using potential flow and machine learning. arXiv 2019 R Maulik, H Sharma, S Patel, B Lusch, E Jennings arXiv preprint arXiv:1910.10878, 0 | 6 | |
| Co-Design of Commercial Building HVAC using Bayesian Optimization S Vasisht, A Bhattacharya, S Huang, H Sharma, V Adetola, D Vrabie 2021 American Control Conference (ACC), 366-372, 2021 | 5 | 2021 |
| Towards Learning-Based Architectures for Sensor Impact Evaluation in Building Controls S Bhattacharya, H Sharma, V Adetola Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021 | 3 | 2021 |
| Data Driven Approach to Analyzing The Impact of Power Plant Cycling on Air Preheater Degradation and Remaining Useful Life H Sharma, V Adetola, L Marinovici, HT Schaef Turbo Expo: Power for Land, Sea, and Air 85031, V09BT26A013, 2021 | 3 | 2021 |
Baskar GanapathysubramanianNSF/USDA AI Institute, Iowa State UniversityVerified email at iastate.edu
