| Forecasting of Fouling in Air Pre-Heaters Through Deep Learning A Gupta, V Jadhav, M Patil, A Deodhar, V Runkana ASME Power Conference 85109, V001T01A002, 2021 | 10 | 2021 |
| Physics Informed Neural Network for Health Monitoring of an Air Preheater V Jadhav, A Deodhar, A Gupta, V Runkana PHM Society European Conference 7 (1), 219-230, 2022 | 8 | 2022 |
| Supervised Operational Change Point Detection using Ensemble Long-Short Term Memory in a Multicomponent Industrial System A Gupta, VS Masampally, V Jadhav, A Deodhar, V Runkana 2021 IEEE 19th World Symposium on Applied Machine Intelligence and …, 2021 | 6 | 2021 |
| Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs R Majumdar, V Jadhav, A Deodhar, S Karande, L Vig, V Runkana arXiv preprint arXiv:2212.10032, 2022 | 4 | 2022 |
| HyperLoRA for PDEs R Majumdar, V Jadhav, A Deodhar, S Karande, L Vig, V Runkana arXiv preprint arXiv:2308.09290, 2023 | 2 | 2023 |
| Method and system for realtime monitoring and forecasting of fouling of air preheater equipment A Deodhar, V Jadhav, A Gupta, M Ramanujam, V Runkana, M Patil, ... US Patent App. 17/753,779, 2022 | 2 | 2022 |
| Physics-Assisted Long-Short-Term-Memory Network for Forecasting of Fouling in a Regenerative Heat Exchanger A Gupta, V Jadhav, A Deodhar, V Runkana Heat Transfer Summer Conference 85796, V001T20A001, 2022 | 2 | 2022 |
| Review of Vegetable Oil as Alternative Fuel for Internal Combustion Engine (CI Engine) P Navale, D Choudhury, V Jadhav, A Mishra, NN Deshmukh Conference Paper· January, 2011 | 2 | 2011 |
| Symbolic Regression for PDEs using Pruned Differentiable Programs R Majumdar, VS Jadhav, A Deodhar, S Karande, L Vig, V Runkana ICLR 2023 Workshop on Physics for Machine Learning, 0 | 2* | |
| Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations RK Sarkar, R Majumdar, V Jadhav, SS Sakhinana, V Runkana arXiv preprint arXiv:2311.09740, 2023 | 1 | 2023 |
| Physics Informed Symbolic Networks R Majumdar, V Jadhav, A Deodhar, S Karande, L Vig, V Runkana arXiv preprint arXiv:2207.06240, 2022 | 1 | 2022 |
| PointSAGE: Mesh-independent superresolution approach to fluid flow predictions R Sarkar, KSS Aripirala, VS Jadhav, SS Sakhinana, V Runkana arXiv preprint arXiv:2404.04615, 2024 | | 2024 |
| HxPINN: A hypernetwork-based physics-informed neural network for real-time monitoring of an industrial heat exchanger R Majumdar, V Jadhav, A Deodhar, S Karande, L Vig, V Runkana Numerical Heat Transfer, Part B: Fundamentals, 1-22, 2024 | | 2024 |
| PIHLoRA: Physics-informed hypernetworks for low-ranked adaptation R Majumdar, VS Jadhav, A Deodhar, S Karande, L Vig, V Runkana AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023 | | 2023 |
| System and method for identification and forecasting fouling of heat exchangers in a refinery VS Jadhav, A Deodhar, SS Srinivas, V Runkana US Patent App. 17/476,746, 2022 | | 2022 |
| On NeuroSymbolic Solutions for PDEs. R Majumdar, V Jadhav, A Deodhar, SS Karande, L Vig CoRR, 2022 | | 2022 |
| NUMERICAL INVESTIGATION OF THE POINT-IMPLICIT SCHEME FOR THE 1-D HEAT EQUATION. V Jadhav, S Ghosh | | |
Venkataramana RunkanaChief Scientist, Tata Consultancy Services, Research and Innovation for Manufacturing & EngineeringVerified email at tcs.com
