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George Tzimpragos

Georgios Tzimpragos

James E. Smith Assistant Professor

My research interests primarily lie within the field of computer architecture. The ongoing research activities in my group (for our latest updates, please refer to my scholar profile) can be summarized by the following questions:

How can we reimagine logic abstractions and microarchitecture to overcome technology limitations and scaling slowdowns (e.g., in superconductor electronics, flexible electronics, and quantum computing)?

How can biological systems inspire computing constructs that leverage existing mathematics and hardware for scalable, continuous learning (e.g., in electronic imaging, sensor processing, and robotics)?

How can we bridge the semantic gap between computation and verification to improve turnaround times, formally guarantee correctness, and enhance security features?

Before joining the University of Wisconsin-Madison, I was an Assistant Professor of Computer Science and Engineering, with a courtesy appointment in Applied Physics, at the University of Michigan (2022–2025). Prior to that, I earned my Ph.D. in Computer Science from UC Santa Barbara. My dissertation focused on the development, formalization, and deployment of a neuro-inspired temporal paradigm for in-sensor processing and superconducting computing, for which I received the ACM SIGARCH & IEEE CS TCCA Outstanding Dissertation Award in 2023.

Department

Electrical & Computer Engineering

Contact

3421, Engineering Hall
1415 Engineering Dr
Madison, WI

  • PhD 2022, University of California-Santa Barbara
  • MS 2016, University of California-Davis
  • BS 2012, NTUA

  • Computer architecture
  • Computing with novel technologies
  • Brain-inspired computing

  • 2025 University of Wisconsin-Madison, James E. Smith Professorship
  • 2024 University of Michigan, Quantum Research Institute Fellowship
  • 2023 ACM SIGARCH & IEEE CS TCCA, Outstanding Dissertation Award
  • 2022 UC Santa Barbara, Dept. of Computer Science, Outstanding Dissertation Award
  • 2022 UC Santa Barbara, Dept. of Computer Science, Student of the Year
  • 2021 IEEE, IEEE Micro Top Picks
  • 2021 IEEE, IEEE Micro Top Picks Honorable Mention
  • 2021 Communications of ACM, Research Highlights
  • 2019 Proceedings of International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2019, Best Paper Award

  • Zhang, Q., Saligane, M., Kim, H., Blaauw, D., Tzimpragos, G., & Sylvester, D. (2024). Quantum circuit simulation with fast tensor decision diagram. In 2024 25th International Symposium on Quality Electronic Design (ISQED) (pp. 1–8).
  • Volk, J., Papanikolaou, P., Zervakis, G., & Tzimpragos, G. (2024). Synthesis of Resource-Efficient Superconducting Circuits with Clock-Free Alternating Logic. In Proceedings of the 61st ACM/IEEE Design Automation Conference (pp. 1–6).
  • Mrazek, V., Kokkinis, A., Papanikolaou, P., Vasicek, Z., Siozios, K., Tzimpragos, G., Tahoori, M., & Zervakis, G. (2024). Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks. arXiv preprint arXiv:2407.20589.
  • Volk, J., Tzimpragos, G., & Mukhanov, O. (2024). xeSFQ: Clockless SFQ Logic with Zero Static Power. arXiv preprint arXiv:2411.03052.
  • Volk, J., Wynn, A., Golden, E., Sherwood, T., & Tzimpragos, G. (2023). Addressable superconductor integrated circuit memory from delay lines. Scientific Reports.
  • Volk, J., Tzimpragos, G., Wynn, A., Golden, E., & Sherwood, T. (2023). Low-cost superconducting fan-out with cell $$backslash$text $$I$$ _$backslash$text $$C$$ $ ranking. IEEE Transactions on Applied Superconductivity, 33(6), 1--12.
  • Christensen, M., Tzimpragos, G., Kringen, H., Volk, J., Sherwood, T., & Hardekopf, B. (2022). PyLSE: A pulse-transfer level language for superconductor electronics. In Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 671–686).
  • Tzimpragos, G., Volk, J., Wynn, A., Smith, J. E., & Sherwood, T. (2021). Superconducting computing with alternating logic elements. In 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) (pp. 651–664).
  • Wang, Y., Feng, B., Li, G., Tzimpragos, G., Deng, L., Xie, Y., & Ding, Y. (2021). TiAcc: Triangle inequality-based hardware accelerator for k-means on FPGAs. In 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp. 133–142).
  • Tzimpragos, G., Madhavan, A., Vasudevan, D., Strukov, D., & Sherwood, T. (2021). In-sensor classification with boosted race trees. Communications of the ACM, 64(6), 99--105.

  • E C E 554 - Digital Engineering Laboratory (Spring 2025)