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Mohammadnavid Tarighat
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[c5]Kevin Immanuel Gubbi
, Mohammadnavid Tarighat
, Brinda Puri
, Mahdi Pirayesh Shirazi Nejad
, Setareh Rafatirad
, Houman Homayoun
:
HALO: A Typed Multi-View Graph Abstraction for RTL and Netlist Learning. ACM Great Lakes Symposium on VLSI 2026: 576-582
[c4]Noah Marosok, Marcus Halm, Kevin Immanuel Gubbi, Mohammadnavid Tarighat, Neusha Javidnia, Soheil Zibakhsh Shabgahi, Ke Huang, Setareh Rafatirad, Hossein Sayadi, Farinaz Koushanfar, Houman Homayoun:
Agentic AI for Chip Design Verification: Failure Modes, Metrics, and Coverage Closure. ISQED 2026: 1-7
[c3]Mohammadnavid Tarighat, Kevin Immanuel Gubbi, Neusha Javidnia, Noah Marosok, Soheil Zibakhsh Shabgahi, Marcus Halm, Mahdi Pirayesh Shirazi Nejad, Setareh Rafatirad, Farinaz Koushanfar, Houman Homayoun:
Closing the Loop: Overcoming the Tool-Feedback Gap in Agentic Hardware Design. ISQED 2026: 1-8- 2025
[c2]Kevin Immanuel Gubbi, Mohammadnavid Tarighat, Arvind Sudarshan, Inderpreet Kaur, Pavan Dheeraj Kota, Avesta Sasan, Houman Homayoun:
State of Hardware Fuzzing: Current Methods and the Potential of Machine Learning and Large Language Models. ISQED 2025: 1-7
[c1]Kevin Immanuel Gubbi, Marcus Halm, Sarbani Kumar, Arvind Sudarshan, Pavan Dheeraj Kota, Mohammadnavid Tarighat, Avesta Sasan, Houman Homayoun:
Prompting for Power: Benchmarking Large Language Models for Low-Power RTL Design Generation. MLCAD 2025: 1-7
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last updated on 2026-07-06 02:48 CEST by the dblp team
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