| Optimizing design verification using machine learning: Doing better than random W Hughes, S Srinivasan, R Suvarna, M Kulkarni arXiv preprint arXiv:1909.13168, 2019 | 31 | 2019 |
| Analysis of the inverse kinematics for 5 DOF robot arm using DH parameters A Patil, M Kulkarni, A Aswale 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2017 | 27 | 2017 |
| Modular and lean architecture with elasticity for sparse matrix vector multiplication on fpgas AK Jain, C Ravishankar, H Omidian, S Kumar, M Kulkarni, A Tripathi, ... 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom …, 2023 | 8 | 2023 |
| Improving coverage of simulation-based design verification using Machine Learning techniques M Kulkarni The University of Texas at Austin, 2019 | 2 | 2019 |
| 3d stacked device having improved data flow DD Gaitonde, A Tripathi, A Debnath, DB Moore, MR Kulkarni, AK Jain US Patent App. 18/134,994, 2024 | | 2024 |
| Software defined device variants DD Gaitonde, MH Klein, H Verma, C Ravishankar, MR Kulkarni US Patent App. 18/128,947, 2024 | | 2024 |
| Optimizing Design Verification using Machine Learning MK W Hughes, S Srinivasan, R Suvarna DVCon Europe 2021, 2021 | | 2021 |
| Piezoelectric Exercise Monitor M Kulkarni, K Marathe, P Holani International Journal of Advanced Research in Electronics and Communication …, 2016 | | 2016 |
sandeep srinivasanVerifAI IncVerified email at verifai.ai