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Azadeh Davoodi

Azadeh Davoodi

Vilas Distinguished Achievement Professor
Associate Chair of Undergraduate Studies

Azadeh Davoodi is Vilas Distinguished Achievement Professor and Associate Chair of Undergraduate Studies at the Department of Electrical and Computer Engineering at the University of Wisconsin Madison. Her primary research interests are in Electronic Design Automation (EDA) and debug of Integrated Circuits. Azadeh is recipient of a 2011 NSF CAREER award, a 2015 ACM Transactions on Design Automation of Electronic Systems best paper award, a 2010 Design Automation Conference best paper candidate, and 2025 Design, Automation, and Test in Europe Best Paper Candidate. Azadeh served as Associate Editor of IEEE Transactions on CAD in 2014-2015, and for ACM TODAES in 2015-2016, Integration VLSI journal in 2018-2019. She has been serving as Associate Editors of ACM TRETS since 2019, and IEEE TCAD since 2024. She served as General Chair of ISPD 2015 and as the Steering Committe chair of ISPD 2016. She also served as TPC Chair of ISPD 2014, Track Chair of ICCD (2010-2012), DATE (2011-2013), Track Chair of ISLPED (2023-2024), Best Paper Award Committees of DAC and ICCAD, and TPC member in over 10 EDA-related conferences and workshops including DAC, ICCAD, ASPDAC, DATE, ISLPED, ISQED, ISPD, ICCD, GLSVLSI, ASQED, IWLS, SLIP, DuHDE. Azadeh is a senior member of IEEE and IEEE HKN (honor society of IEEE). She won the Vilas Associates competition at campus-level for 2022-2023.

Department

Electrical & Computer Engineering

Contact

3625, Engineering Hall
1415 Engineering Dr
Madison, WI

  • PhD 2006, University of Maryland-College Park

  • Machine learning for better VLSI chip design
  • VLSI design and automation for better machine learning
  • IC-CAD for emerging nanotechnologies
  • Hardware security

  • 2025 Design, Automation, and Test in Europe, Best paper candidate (Nominated)
  • 2024 University of Wisconsin-Madison, Vilas Distinguished Achievement Professor
  • 2024 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), Associate Editor
  • 2023 University of Wisconsin-Madison, Associate Chair for Undergraduate Studies
  • 2023 IEEE, IEEE HKN member (honor society of IEEE)
  • 2022 University of Wisconsin-Madison, Winner of Vilas Associates competition
  • 2021 Google and UC-Berkeley, First place at an international contest on “Machine Learning+Logic Synthesis Part II”
  • 2020 Google and UC-Berkeley, Second place at the international contest on “Machine Learning+Logic Synthesis Part I”
  • 2019 ACM Transactions on Reconfigurable Technology and Systems (ACM TRETS), Associate Editor
  • 2015 ACM Transactions on Design Automation of Electronic Systems, Best paper award
  • 2011 National Science Foundation, NSF CAREER award
  • 2010 University Housing, University of Wisconsin-Madison, Honored instructor
  • 2010 Design Automation Conference (DAC), Best paper candidate (Nominated)
  • 2003 International Conference on Computer-Aided Design (ICCAD), Best paper candidate (Nominated)

  • Zhang, L., & Davoodi, A. (2025). Static IR Drop Prediction with Limited Data from Real Designs. In Proceedings of the 30th Asia and South Pacific Design Automation Conference (pp. 520–526).
  • Viramontes, R., & Davoodi, A. (2024). DIME: Distributed Inference Model Estimation for Minimizing Profiled Latency. In 2024 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 356–361).
  • Zhang, L., & Davoodi, A. (2024). Efficient and Effective Neural Networks for Automatic Test Pattern Generation. In Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD (pp. 1–7).
  • Rochel, S., & Davoodi, A. (2024). Session details: DFM methods for advanced lithography. In IEEE/ACM International Conference on Computer-Aided Design.
  • Zhang, L., & Davoodi, A. (2024). Static IR Drop Prediction with Attention U-Net and Saliency-Based Explainability. arXiv preprint arXiv:2408.03292.
  • Viramontes, R., & Davoodi, A. (2023). Neural network partitioning for fast distributed inference. In 2023 24th International Symposium on Quality Electronic Design (ISQED) (pp. 1–7).
  • Wu, C., Davoodi, A., & Hu, Y. H. (2023). Block Pruning for Enhanced Efficiency in Convolutional Neural Networks. arXiv preprint arXiv:2312.16904.
  • Hemmat, M., Davoodi, A., & Hu, Y. H. (2022). Edge AI: Distributed Inference with Local Edge Devices and Minimal Latency. In 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC) (pp. 544–549).
  • Hemmat, M., Miguel, J. S., & Davoodi, A. (2022). CAP’NN: A Class-aware Framework for Personalized Neural Network Inference. ACM Transactions on Embedded Computing Systems, 21(5), 1--24.
  • Rai, S., Neto, W. L., Miyasaka, Y., Zhang, X., Yu, M., Yi, Q., Fujita, M., Manske, G. B., Pontes, M. F., Da Rosa, L. S., & others, (2021). Logic synthesis meets machine learning: Trading exactness for generalization. In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1026–1031).

  • E C E 553 - Testing and Testable Design of Digital Systems (Spring 2025)
  • E C E 790 - Master's Research (Spring 2025)
  • E C E 890 - Pre-Dissertator's Research (Spring 2025)
  • E C E 990 - Dissertator's Research (Spring 2025)
  • E C E 554 - Digital Engineering Laboratory (Fall 2024)
  • E C E 890 - Pre-Dissertator's Research (Fall 2024)
  • E C E 990 - Dissertator's Research (Fall 2024)
  • E C E 890 - Pre-Dissertator's Research (Summer 2024)
  • E C E 990 - Dissertator's Research (Summer 2024)
  • E C E 553 - Testing and Testable Design of Digital Systems (Spring 2024)
  • E C E 890 - Pre-Dissertator's Research (Spring 2024)
  • E C E 990 - Dissertator's Research (Spring 2024)
  • COMP SCI 756 - Computer-Aided Design for VLSI (Fall 2023)
  • E C E 756 - Computer-Aided Design for VLSI (Fall 2023)
  • E C E 890 - Pre-Dissertator's Research (Fall 2023)
  • E C E 990 - Dissertator's Research (Fall 2023)
  • E C E 890 - Pre-Dissertator's Research (Summer 2023)
  • E C E 990 - Dissertator's Research (Summer 2023)