Survey of machine learning for electronic design automation KI Gubbi, SA Beheshti-Shirazi, T Sheaves, S Salehi, SM PD, S Rafatirad, ... Proceedings of the Great Lakes Symposium on VLSI 2022, 513-518, 2022 | 22 | 2022 |
Hardware trojan detection using machine learning: A tutorial KI Gubbi, B Saber Latibari, A Srikanth, T Sheaves, SA Beheshti-Shirazi, ... ACM Transactions on Embedded Computing Systems 22 (3), 1-26, 2023 | 14 | 2023 |
A reinforced learning solution for clock skew engineering to reduce peak current and IR drop SA Beheshti-Shirazi, A Vakil, S Manoj, I Savidis, H Homayoun, A Sasan Proceedings of the 2021 on Great Lakes Symposium on VLSI, 181-187, 2021 | 7 | 2021 |
RAPTA: A hierarchical representation learning solution for real-time prediction of path-based static timing analysis T Chowdhury, A Vakil, B Saber Latibari, S Aresh Beheshti Shirazi, ... Proceedings of the Great Lakes Symposium on VLSI 2022, 493-500, 2022 | 5 | 2022 |
Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization SA Beheshti-Shirazi, N Nazari, KI Gubbi, BS Latibari, S Rafatirad, ... IEEE Access, 2023 | 1 | 2023 |
Machine Learning and Reinforcement Learning in Computer Aided Design SA Beheshti-Shirazi George Mason University, 2023 | | 2023 |
A Survey On Techniques Used for Designing Fault Tolerant and Process Variation Aware Memories and Caches SA Beheshti-Shirazi | | 2020 |