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Umit Yusuf Ogras

Umit Ogras

Gene Amdahl Professor

Umit Ogras is an IEEE Fellow and the Gene Amdahl Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin–Madison. He received his Ph.D. in Computer Engineering from Carnegie Mellon University in 2007. Before joining UW–Madison, he was a research scientist at Intel (2008–2013) and a faculty member at Arizona State University (2013–2020). His research focuses on chiplet-based 2.5D/3D platforms, heterogeneous multicore architectures, domain-specific systems, wearable computing, edge AI, and low-power VLSI design.

His honors include the DARPA Director’s Fellowship and Young Faculty Award, NSF CAREER Award, multiple best paper awards (T-VLSI, T-CAD, TODAES, CODES+ISSS, CASES), and recognition from Intel for both research and technical contributions. He is also a recipient of the EDAA Outstanding Dissertation Award and teaching awards from ASU and CMU.

Department

Electrical & Computer Engineering

Contact

3613, Engineering Hall
1415 Engineering Dr
Madison, WI

  • PhD 2007, Carnegie Mellon University
  • MS 2002, Ohio State University
  • BS 2000, Middle East Technical University

  • Domain-specific architectures
  • Edge AI, Embedded Systems
  • Mobile and Wearable Computing
  • Multicore Architectures
  • Flexible Hybrid Electronics

  • 2024 Electrical and Computer Engineering, University of Wisconsin-Madison, Gene Amdahl Professorship
  • 2023 CASES (Intl. Conf. on International Conference on Compilers, Architecture, and Synthesis for Embedded Systems), 2023 Best Paper Award
  • 2022 CASES (Intl. Conf. on International Conference on Compilers, Architecture, and Synthesis for Embedded Systems), 2022 Best Paper Award
  • 2021 ACM Trans. on Design Automation of Electronic Systems (TODAES), 1021 Best Paper Award
  • 2021 Intel, Intel 2021 Outstanding Researcher Award
  • 2020 CODES+ISSS (Intl. Conf. on Hardware/Software Codesign and System Synthesis), 2020 Test of Time
  • 2020 DARPA, Director's Fellowship
  • 2020 ASU Ira Fulton Schools of Engineering , Top 5% Teaching Award
  • 2019 CASES (Intl. Conf. on International Conference on Compilers, Architecture, and Synthesis for Embedded Systems), 2019 Best Paper Award
  • 2018 DARPA, Young Faculty Award
  • 2017 CODES+ISSS (Intl. Conf. on Hardware/Software Codesign and System Synthesis), 2017 Best Paper Award
  • 2017 National Science Foundation, NSF CAREER Award
  • 2013 Intel, Intel Design and Technology Solution (DTS) Division Recognition Award
  • 2012 IEEE, Donald O. Pederson IEEE Trans. on CAD Best Paper Award
  • 2012 Intel, Strategic CAD Labs Research Award
  • 2011 IEEE Circuits and Systems Society, 2011 IEEE VLSI Trans. Best Paper Award
  • 2010 Intel, 2010 Intel Microprocessor Development Group Division Recognition Award
  • 2008 European Design Automation Association (EDAA), 2008 Outstanding PhD. Dissertation Award
  • 2007 Electrical and Computer Engineering, Carnegie Mellon University, 2007 Outstanding Teaching Assistant Award
  • 2000 Middle East Technical University, Valedictorian

  • Sharma, H., Narang, G., Doppa, J. R., Ogras, U., & Pande, P. P. (2024). Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads. In 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1–6).
  • Wang, Z., Sun, J., Goksoy, A., Mandal, S. K., Liu, Y., Seo, J., Chakrabarti, C., Ogras, U., Chhabria, V., Zhang, J., & others, (2024). Exploiting 2.5 D/3D Heterogeneous Integration for AI Computing. In 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC) (pp. 758–764).
  • Lin, D., Ogras, U., Miguel, J. S., & Huang, T. (2024). TaroRTL: Accelerating RTL Simulation using Coroutine-based Heterogeneous Task Graph Scheduling. In European Conference on Parallel Processing (pp. 151–166).
  • Park, J., Kanani, A., Pfromm, L., Sharma, H., Solanki, P., Tervo, E., Doppa, J. R., Pande, P. P., & Ogras, U. (2024). Thermal Modeling and Management Challenges in Heterogenous Integration: 2.5 D Chiplet Platforms and Beyond. In 2024 IEEE 42nd VLSI Test Symposium (VTS) (pp. 1–4).
  • Jantsch, A., Ghosh, S., Ogras, U., & Meinerzhagen, P. (2024). ISLPED 2023: International Symposium on Low-Power Electronics and Design. IEEE Design & Test, 41(1), 93--94.
  • Chen, X., Krishnakumar, A., Ogras, U., & Chakrabarti, C. (2024). PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs. Journal of Systems Architecture, 147, 103051.
  • Mack, J., Krishnakumar, A., Ogras, U., & Akoglu, A. (2024). Tutorial: A Novel Runtime Environment for Accelerator-Rich Heterogeneous Architectures. ACM Transactions on Embedded Computing Systems.
  • An, S., Tuncel, Y., Basaklar, T., & Ogras, U. (2023). A survey of embedded machine learning for smart and sustainable healthcare applications. In Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges (pp. 127–150). Springer Nature Switzerland Cham.
  • Krishnan, G., Mandal, S. K., Goksoy, A. A., Wang, Z., Chakrabarti, C., Seo, J., Ogras, U., & Cao, Y. (2023). End-to-End Benchmarking of Chiplet-Based In-Memory Computing. In Neuromorphic Computing. IntechOpen.
  • Krishnan, G., Mandal, S. K., Chakrabarti, C., Seo, J., Ogras, U., & Cao, Y. (2023). In-Memory Computing for AI Accelerators: Challenges and Solutions. In Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures (pp. 199–224). Springer International Publishing Cham.

  • COMP SCI 755 - VLSI Systems Design (Spring 2025)
  • E C E 699 - Advanced Independent Study (Spring 2025)
  • E C E 755 - VLSI Systems Design (Spring 2025)
  • E C E 790 - Master's Research (Spring 2025)
  • E C E 890 - Pre-Dissertator's Research (Spring 2025)
  • COMP SCI 352 - Digital System Fundamentals (Fall 2024)
  • E C E 352 - Digital System Fundamentals (Fall 2024)
  • E C E 699 - Advanced Independent Study (Fall 2024)
  • E C E 790 - Master's Research (Fall 2024)
  • E C E 890 - Pre-Dissertator's Research (Fall 2024)
  • E C E 790 - Master's Research (Summer 2024)
  • E C E 890 - Pre-Dissertator's Research (Summer 2024)
  • E C E 990 - Dissertator's Research (Summer 2024)
  • COMP SCI 755 - VLSI Systems Design (Spring 2024)
  • E C E 755 - VLSI Systems Design (Spring 2024)
  • E C E 790 - Master's Research (Spring 2024)
  • E C E 890 - Pre-Dissertator's Research (Spring 2024)
  • E C E 990 - Dissertator's Research (Spring 2024)
  • E C E 699 - Advanced Independent Study (Fall 2023)
  • E C E 790 - Master's Research (Fall 2023)
  • E C E 890 - Pre-Dissertator's Research (Fall 2023)
  • E C E 990 - Dissertator's Research (Fall 2023)
  • E C E 699 - Advanced Independent Study (Summer 2023)
  • E C E 790 - Master's Research (Summer 2023)
  • E C E 890 - Pre-Dissertator's Research (Summer 2023)
  • E C E 990 - Dissertator's Research (Summer 2023)