Shimeng Yu is a full professor of electrical and computer engineering at Georgia Institute of Technology, where he holds the Dean’s Professorship. 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. He is elevated for the IEEE Fellow for contributions to non-volatile memories and in-memory computing.
Prof. Yu’s general research interests are semiconductor devices and integrated circuits for energy-efficient computing systems. His expertise is on the emerging non-volatile memories for AI hardware and 3D integration. Prof. Yu’s 400+ journal/conference publications received more than 30,000 citations (Google Scholar) with H-index 82. He is the theme lead of two SRC/DARPA JUMP 2.0 centers on intelligent memory/storage and heterogeneous/monolithic 3D integration.
Prof. Yu serves in flagship conferences in the field as technical program committee, including IEEE International Electron Devices Meeting (IEDM), IEEE Symposium on VLSI Technology and Circuits, etc. He also serves an editor for IEEE Electron Device Letters (EDL), and associate editor-in-chief for IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS).
- Ph.D., Stanford University, 2013
Professor Yu’s research focuses on the design, fabrication, and modeling of advanced logic and memory devices beyond the scaling limit predicted by Moore's law. His work addresses issues related to the memory-wall problem in computer architecture. By integrating memory components closer to compute units together with 3D integration, his research aims to provide unprecedented bandwidth for AI compute systems.
Professor Yu’s teaching interests include foundational and advanced courses in electrical and computer engineering, with an emphasis on semiconductor devices and integrated circuits. He aims to provide students with a strong theoretical background alongside practical skills applicable to industrial needs. His instruction engages both undergraduate and graduate students, fostering critical thinking and problem-solving abilities in emerging technologies.
- IEEE Fellow 2024
- Intel Outstanding Researcher Award 2023
- Georgia Tech Roger P. Webb ECE Outstanding Mid-Career Faculty Award 2022
- ACM/IEEE Design Automation Conference (DAC) Under-40 Innovators Award 2020
- Semiconductor Research Corporation (SRC) Inaugural Young Faculty Award 2019
- ACM Special Interest Group on Design Automation (SIGDA) Outstanding New Faculty Award 2018
- IEEE Electron Devices Society (EDS) Early Career Award 2017
- NSF Faculty Early Career Development (CAREER) Award 2016
- S. Yu, Y.-C. Luo, T.-H. Kim, O. Phadke, “Non-volatile capacitive synapse: Device candidates for charge domain compute-in-memory,” IEEE Electron Devices Magazine, vol. 1, no. 2, pp. 23-32, 2023, invited review.
- S. Yu, Semiconductor Memory Devices and Circuits, Publisher: CRC Press/Taylor & Francis, 2022.
- S. Yu, H. Jiang, S. Huang, X. Peng, A. Lu, “Compute-in-memory chips for deep learning: recent trends and prospects”, IEEE Circuits and Systems Magazine, vol. 21, no. 3, pp. 31-56, 2021, invited review.
- S. Yu, “Neuro-inspired computing with emerging non-volatile memory,” Proceedings of the IEEE, vol. 106, no. 2, pp. 260-285, 2018, invited review.
- S. Yu, P.-Y. Chen, “Emerging memory technologies: recent trends and prospects,” IEEE Solid State Circuits Magazine, vol. 8, no. 2, pp. 43-56, 2016, invited review.