Shimeng Yu

Shimeng Yu

Professor; School of Electrical & Computer Engineering

Shimeng Yu is a professor of electrical and computer engineering at the Georgia Institute of Technology. He received the B.S. degree in microelectronics from Peking University in 2009, and the M.S. degree and Ph.D. degree in electrical engineering from Stanford University in 2011 and 2013, respectively. From 2013 to 2018, he was an assistant professor at Arizona State University.

Prof. Yu’s research interests are semiconductor devices and integrated circuits for energy-efficient computing systems. His expertise is on the emerging non-volatile memories (e.g., RRAM, ferroelectrics) for applications such as AI hardware, in-memory computing, 3D integration, etc.

Among Prof. Yu’s honors, he was a recipient of NSF Faculty Early CAREER Award in 2016, IEEE Electron Devices Society (EDS) Early Career Award in 2017, ACM Special Interests Group on Design Automation (SIGDA) Outstanding New Faculty Award in 2018, Semiconductor Research Corporation (SRC) Young Faculty Award in 2019, ACM/IEEE Design Automation Conference (DAC) Under-40 Innovators Award in 2020, IEEE Circuits and Systems Society (CASS) Distinguished Lecturer for 2021-2022, and IEEE EDS Distinguished Lecturer for 2022-2023, etc.

Prof. Yu is active in professional services. He served or is serving technical program committee for IEEE International Electron Devices Meeting (IEDM), IEEE Symposium on VLSI Technology and Circuits, ACM/IEEE Design Automation Conference (DAC), ACM/IEEE Design, Automation & Test in Europe (DATE), ACM/IEEE International Conference on Computer-Aided-Design (ICCAD), etc.  He is an editor of IEEE Electron Device Letters and a senior member of the IEEE.


Office Location:
Pettit 116

ECE Profile Page

  • Laboratory for Emerging Devices and Circuits
  • Google Scholar

    Georgia Institute of Technology

    School of Electrical and Computer Engineering
    Research Focus Areas:
  • Miniaturization & Integration
  • Additional Research:
    • Nanoelectronic Devices
    • Non-volatile Memories
    • Integrated Circuit Design
    • Electronic Design Automation (EDA)
    • Deep Learning Accelerator
    • Hardware Security

    IRI Connection: