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Ira A. Fulton Schools of Engineering
Vidya A. Chhabria
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Publications

Book chapters

  1. V. A. Chhabria, J. Cortadella, and S. S. Sapatnekar, “Static Timing Analysis,” in Electronic Design Automation for IC Implementation, Circuit Design, and Process Technology, 2026.
  2. V. A. Chhabria and S. S. Sapatnekar, “Deep Learning for Analyzing Power Delivery Networks and Thermal Networks,” in Machine Learning Applications in Electronic Design Automation, J. Hu and H. Ren, eds., Springer, New York, NY, 2023.

Journals

  1. V. Gopalakrishnan and V. A. Chhabria, “Power Switch Network Optimization Using Machine Learning for Inrush Current and Wakeup Latency Prediction,” in the ACM Transactions on Design Automation of Electronic Systems (TODAES), 2026.
  2. M. A. A. Shohel, V. A. Chhabria, N. Evmorfopoulos, and S. S. Sapatnekar, “An Analytical Solution for Transient Electromigration Stress in Multisegment Straight-line Interconnects Based on a Stress-wave Model,” in the ACM Transactions on Design Automation of Electronic Systems (TODAES), 2025.
  3. Z. Wang, P. S. Nalla, J. Sun, A. A. Goksoy, S. K. Mandal, J.-S. Seo, V. A. Chhabria, J.Zhang, C. Chakrabarti, U. Y. Ogras, and Y. Cao, “HISIM: Analytical Performance Modeling and Design Space Exploration of 2.5D/3D Integration for AI Computing,” in the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
  4. V. A. Chhabria, W. Jiang, A. B. Kahng, and S. S. Sapatnekar, “A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route,” in the ACM Transactions on Design Automation of Electronic Systems (TODAES), 2023.
  5. V. A. Chhabria, V. Ahuja, A. Prabhu, N. Patil, P. Jain, and S. S. Sapatnekar, “Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks,” in the ACM Transactions on Design Automation of Electronic Systems (TODAES), 2022.
  6. V. A. Chhabria and S. S. Sapatnekar, “OpeNPDN: A Neural-network-based Framework for Power Delivery Network Synthesis,” in the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021. [arXiv]

Conferences

  1. B.-Y. Wu, C.-T. Ho, H. Yang, B. Khailany, and V. A. Chhabria, “EvoDRC: A Self-Evolving Agentic Framework for Automated DRC Violation Repair,” Proceedings of the IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2027.
  2. Q. Wu, T. Jafri, A. Arora, and V. A. Chhabria, “VPR-Evolve: Multi-Agent-Driven Algorithm Evolution for FPGA Place and Route,” Proceedings of the IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2027.
  3. V. A. Chhabria, A. Dey, A. B. Kahng, I. Savidis, P. Shrestha, and B.-Y. Wu, “ResizerAgent: Agentic Strategy Selection for Timing Optimization in OpenROAD Resizer,” Proceedings of the ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), 2026.
  4. V. Patel, V. A. Chhabria, and A. Arora, “Understanding Inference-Time Token Allocation and Coverage Limits in Agentic Hardware Verification,” Proceedings of the ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), 2026.
  5. A. Dey, J. Ethirajulu, T. Jafri, and V. A. Chhabria, “MLCAD 2026 Contest on Agentic Algorithm Discovery for Timing Optimization,” Proceedings of the ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), 2026. (Invited paper)
  6. Q. Wu, A. Arora, and V. A. Chhabria, “CHICO-Agent: An LLM Agent for the Cross-layer Optimization of 2.5D and 3D Chiplet-based Systems,” Proceedings of the IEEE International Conference on LLM-Aided Design (ICLAD), 2026.
  7. C. C. Sudarshan, A. Arora, and V. A. Chhabria, “Toward Sustainable Computing with FPGAs and Chiplets,” Proceedings of the International Green and Sustainable Computing Conference (IGSC), 2026.
  8. B.-Y. Wu, C.-T. Ho, H. Yang, C.-C. Chang, A. B. Akkur, B. Khailany, and V. A. Chhabria, “Special Research Session: Toward Agentic Solution for DRC Challenges in Digital VLSI Design,” Proceedings of the ACM/IEEE Design Automation Conference (DAC), 2026. (Invited paper)
  9. M. A. Farooq, G. Di Guglielmo, A. Rajagopala, N. Tran, V. A. Chhabria, and A. Arora, “LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout,” Proceedings of the ACM/IEEE Design Automation Conference (DAC), 2026.
  10. B.-Y. Wu, A. Dey, A. Rovinski, and V. A. Chhabria, “Focus Session: Large Language Models in Physical Design: From Data Generation to Intelligent Agents,” Proceedings of the Design, Automation, and Test in Europe (DATE), 2026.
  11. S. H. Julakanti and V. A. Chhabria, “Hybrid GCN-CNN Framework for Fast Timing-Driven Layer Assignment in Global Routing,” Proceedings of the IEEE International Symposium on Quality Electronic Design (ISQED), 2026.
  12. B.-Y. Wu and V. A. Chhabria, “DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design,” Proceedings of the IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2026.
  13. A. Yadav, V. K. Ramasamy, J. A. Garza, T. Hannan, M. Lee, M. Sharma, and V. A. Chhabria, “MIMIC: Machine Intelligence for Scalable Generation of Synthetic Timing Cone Datasets,” Proceedings of the IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2026.
  14. V. Gopalakrishnan, A. Dey, R. Liang, Y. Zhang, H. Ren, and V. A. Chhabria, “MLCAD 2025 Contest on ReSynthAI: Physical-aware Logic Resynthesis using AI,” Proceedings of the ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), 2025. (Invited paper)
  15. J. Hu, C. C. Sudarshan, M. Clifford, V. A. Chhabria, and A. Arora, “CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs,” Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), 2025.
  16. B.-Y. Wu, U. Sharma, A. Rovinski, and V. A. Chhabria, “OpenROAD Agent: An Intelligent Self-Correcting Script Generator for OpenROAD,” Proceedings of the IEEE International Conference on LLM-Aided Design (ICLAD), 2025.
  17. V. A. Chhabria, J. Hu, A. B. Kahng, and S. S. Sapatnekar, “Invited: Toward an ML EDA Commons: Establishing Standards, Accessibility, and Reproducibility in ML-driven EDA Research,” Proceedings of the International Symposium on Physical Design (ISPD), 2025.
  18. C. C. Sudarshan, Aman Arora, and V. A. Chhabria, “Beyond the Surface: The Necessity for Detailed Metrics in Corporate Sustainability Reports,” Proceedings of the International Green and Sustainable Computing Conference (IGSC), 2024.
  19. N. Karmokar, S.-W. Tam, T. V. Dinh, V. A. Chhabria, R. Harjani, and S. S. Sapatnekar, “Analyzing the Impact of FinFET Self-Heating on the Performance of RF Power Amplifiers,” Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024
  20. V. A. Chhabria, B.-Y. Wu, U. Sharma, K Kunal, A. Rovinsk, and S. S. Sapatnekar, “Generative Methods in EDA: Innovations in Dataset Generation and EDA Tool Assistants,” Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024. (Invited paper)
  21. V. A. Chhabria, V. Gopalakrishnan, A. B. Kahng, S. Kundu, Z. Wang, B.-Y. Wu, D. Yoon, “Strengthening the Foundations of IC Physical Design and ML EDA Research,” Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024. (Invited paper)
  22. B.-Y. Wu, R. Liang, G. Pradipta, A. Agnesina, H. Ren, V. A. Chhabria, “2024 ICCAD CAD Contest Problem C: Scalable Logic Gate Sizing using ML Techniques and GPU Acceleration,” Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024. (Invited paper)
  23. W. Jiang, V. A. Chhabria, and S. S. Sapatnekar, “IR-Aware ECO Timing Optimization Using Reinforcement Learning,” Proceedings of the ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), 2024. (Best paper nominated).
  24. U. Sharma, B.-Y. Wu, S. R. D. Kankipati, V. A. Chhabria, and A. Rovinski, “OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks,” Proceedings of the ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), 2024.
  25. V. Gopalakrishnan, B.-Y. Wu, and V. A. Chhabria, “ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement,” Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design (ISPLED), 2024.
  26. B.-Y. Wu, U. Sharma, S. R. D. Kankipati, A. Yadav, B. K. George, S. R. Guntupalli, A. Rovinski, and V. A. Chhabria, “EDA-Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD,” Proceedings of the IEEE International Workshop on LLM-Aided Design (LAD), 2024. (Best paper nominated).
  27. V. A. Chhabria, W. Jiang, A. B. Kahng, R. Liang, H. Ren, S. S. Sapatnekar, and B.-Y. Wu, “OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education,” Proceedings of the IEEE VLSI Test Symposium (VTS), 2024.
  28. C. C. Sudarshan, Aman Arora, and V. A. Chhabria, “GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions, “Proceedings of the ACM/IEEE Design Automation Conference (DAC), 2024.
  29. C. C. Sudarshan, N. Matkar, S. Vrudhula, S. S. Sapatnekar, and V. A. Chhabria “ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI,” Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024.
  30. Z. Wang, J. Sun, A. Goksoy, S. K. Mandal, Y. Liu, JS Seo, C. Chakrabarti, U. Y. Ogras, V. A. Chhabria, J. Zhang, and Y. Cao “Exploiting 2.5 D/3D Heterogeneous Integration for AI Computing,” Proceedings of the IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2024.
  31. Z. Wang, J. Sun, A. Goksoy, S.K. Mandal, JS Seo, C. Chakrabarti, U. Y. Ogras, V. A. Chhabria, and Y. Cao. “Benchmarking Heterogeneous Integration with 2.5 D/3D Interconnect Modeling, ” Proceedings of the International Conference on ASIC (ASICON), 2023.
  32. N. Evmorfopoulos, M. A. A. Shohel, Olympia Axelou, Pavlos Stoikos, V. A. Chhabria, and S. S. Sapatnekar, “Recent Progress in the Analysis of Electromigration and Stress Migration in Large Multisegment Interconnects,” Proceedings of the International Symposium on Physical Design (ISPD), 2023.
  33. G. S. P. Kadagala, and V. A. Chhabria, “ICCAD CAD Contest Problem C: Static IR Drop Estimation Using Machine Learning,” Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2023.
  34. M. A. A. Shohel, V. A. Chhabria, Nestor Evmorfopoulos, and S. S. Sapatnekar, “Frequency-Domain Transient Electromigration Analysis Using Circuit Theory,” Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2023.
  35. Rongjian Liang, Anthony Agnesina, G. Pradipta, V. A. Chhabria, and H. Ren, “CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization,” Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2023. (Invited paper)
  36. V. A. Chhabria and S. Sapatnekar, “Analysis of Pattern-dependent Rapid Thermal Annealing Effects on SRAM Design,” Proceedings of the IEEE International Symposium on Quality Electronic Design (ISQED), 2023.
  37. V. A. Chhabria, W. Jiang, A. B. Kahng, and S. Sapatnekar, “From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction,” Proceedings of the ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), 2022.
  38. V. A. Chhabria, B. Keller, Y. Zhang, S. Vollola, S. Pratty, H. Ren, and B. Khailany, “XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning,” Proceedings of the ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), 2022.
  39. V. A. Chhabria, K.Kunal, M. Zabihi, and S. S. Sapatnekar, “BeGAN: Power Grid Benchmark Generation Using a Process-portable GAN-based Methodology,” Proceedings of the IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021.
  40. M. A. A. Shohel, V. A. Chhabria, Nestor Evmorfopoulos, and S. S. Sapatnekar, “Analytical Modeling of Transient Electromigration Stress based on Boundary Reflections,” Proceedings of the IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021 (Best Paper Award).
  41. M. A. A. Shohel, V. A. Chhabria, and S. S. Sapatnekar, “A New, Computationally Efficient “Blech Criterion” for Immortality in General Interconnects,” Proceedings of the ACM/IEEE Design Automation Conference (DAC), 2021.
  42. V. A. Chhabria, Y. Zhang, H. Ren, B. Keller, B. Khailany, and S. S. Sapatnekar, “MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification,” Proceedings of the Design, Automation, and Test in Europe (DATE), 2021.
  43. V. A. Chhabria, V. Ahuja, A. Prabhu, N. Patil, P. Jain, and S. S. Sapatnekar, “Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks,” Proceedings of the Asia and South Pacific Design Automation Conference (ASP-DAC), 2021.
  44. V. A. Chhabria, A. B Kahng, M. Kim, U. Mallappa, S. S. Sapatnekar, and B. Xu, “Template-based PDN Synthesis in Floorplan and Placement Using Classifier and CNN Techniques,” Proceedings of the Asia and South Pacific Design Automation Conference (ASP-DAC), 2020.
  45. V. A. Chhabria and S. S. Sapatnekar, “Impact of Self-heating on Performance and Reliability in FinFET and GAAFET Designs,” Proceedings of the IEEE International Symposium on Quality Electronic Design (ISQED), 2019.
  46. T. Ajayi, V. A. Chhabria, M. Fogac¸a, S. Hashemi, A. Hosny, A. B. Kahng, M. Kim, J. Lee, U. Mallappa, M. Neseem, G. Pradipta, S. Reda, M. Saligane, S. S. Sapatnekar, C. Sechen, M. Shalan,W. Swartz, L.Wang, Z.Wang, M. Woo, and B. Xu, “INVITED: Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project,” Proceedings of the ACM/IEEE Design Automation Conference (DAC), 2019.
  47. T. Ajayi, D. Blaauw, T.-B. Chan, C.-K. Cheng, V. A. Chhabria, D. K. Choo, M. Coltella, S. Dobre, R. Dreslinski, M. Fogac¸a, S. Hashemi, A. Hosny, A. B. Kahng, M. Kim, J. Li, Z. Liang, U. Mallappa, P. Penzes, G. Pradipta, S. Reda, A. Rovinski, K. Samadi, S. S. Sapatnekar, L. Saul, C. Sechen, V. Srinivas, W. Swartz, D. Sylvester, D. Urquhart, L. Wang, M. Woo, and B. Xu, “OpenROAD: Toward a Self-Driving, Open-Source Digital Layout Implementation Tool Chain”, Proceedings of the Government Microcircuit Applications and Critical Technology Conference (GOMACTECH), 2019.

Archived

  1. T. Jafri and V. A. Chhabria, “GR-Evolve: Design-Adaptive Global Routing via LLM-Driven Algorithm Evolution,” arXiv:2604.22234 [cs.AR], 2026.
  2. C. C. Sudarshan, A. Arora, and V. A. Chhabria, “Evaluating Computing Platforms for Sustainability: A Comparative Analysis of FPGAs against ASICs, GPUs, and CPUs,” arXiv:2604.20638 [cs.AR], 2026.
  3. C. C. Sudarshan, J. Hu, A. Arora, and V. A. Chhabria, “CarbonPATH: Carbon-aware pathfinding and architecture optimization for chiplet-based AI systems,” arXiv:2603.03878 [cs.AR], 2026.
  4. M. A. A. Shohel, V. A. Chhabria, and S. S. Sapatnekar, “A Linear-Time Algorithm for Steady-State Analysis of Electromigration in General Interconnects,” arXiv:2112.13451 [cs.AR], 2022.
  5. V. A. Chhabria, Y. Zhang, H. Ren, B. Keller, B. Khailany and S. S. Sapatnekar, “MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification,” arXiv:2012.10597 [cs.AR], 2021.
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