Yishu Zhang is a 32-year-old researcher currently serving as a Hundred Talents Researcher at the School of Micro-nano Electronics, Zhejiang University. He holds a Ph.D. in Electronic Engineering from the Singapore University of Technology and Design, where he achieved a GPA of 4.4/5 under the supervision of Zhao Rong. Zhang also earned his B.Sc. in Microelectronics from Jilin University, China, with a GPA of 3.61/4. He has over five years of professional experience, including roles as the Director of the Reliability Department at the Zhejiang CMOS Innovation Platform and as an Assistant Professor at Zhejiang University. His research focuses on emerging memristive devices, neuromorphic computing, and the 55nm CMOS manufacturing process. Zhang has supervised several doctoral and master’s students, contributing to advancements in high-reliability RRAM devices and neuromorphic computing based on 2D materials. He has been recognized for his work with various awards and honors, including the Zhejiang Province Thousand Talents Project and a Silver Medal in the 2023 China Postdoctoral Innovation and Entrepreneurship Competition. Zhang has also contributed to the academic community as a guest editor and reviewer for several prestigious journals. His skills encompass micro-nanofabrication, electrical characterization, semiconductor processes, and data processing using Python.

Education:

• Ph.D. in Electronic Engineering (2015.1 – 2019.10):
  Singapore University of Technology and Design (SUTD)
  GPA: 4.4/5
  Supervisor: Zhao Rong
• B.Sc. in Microelectronics (2010.9 – 2014.7):
  Jilin University, China
  GPA: 3.61/4

Work Experience:

• Director of Reliability Department (2022.3 – Present):
  Zhejiang CMOS Innovation Platform
  • Supervises 2 doctoral and 2 master’s students working on high-reliability RRAM devices compatible with 55nm standard logic back-end processes.
  • Responsible for R&D of 55nm device reliability and embedded eFlash.
• Assistant Professor (2021.11 – Present):
  School of Micro-nano Electronics, Zhejiang University
  • Supervises 4 doctoral and 1 master’s student, focusing on neuromorphic computing devices based on 2D materials.
• Research Fellow (2019.12 – 2021.10):
  National University of Singapore
  Supervisor: Loh Kian Ping
  • Investigated two-dimensional ferroelectric materials for neuromorphic devices and designed biocompatible neuromorphic devices for biomedical applications.
• Intern, PhD Researcher (2018.10 – 2019.9):
  Institute for Infocomm Research (I2R), A*STAR
  Supervisor: Jiang Wenyu
  • Worked on Spiking Neural Networks (SNN) and their applications in image classification using emerging memory devices.
• Intern, PhD Researcher (2018.5 – 2018.9):
  Sungkyunkwan University, N Center
  Supervisor: Yang Heejun
  • Explored 2D materials like hBN and Graphene for large-scale memory applications, designing a self-selective Van Der Waals Heterostructure.

Teaching Experience:

• Artificial Intelligence Hardware Design (Graduate Course), Co-Lecturer at Zhejiang University (2022.10 – 2022.12)
• Fabrication of Microelectromechanical Systems (Undergraduate Course), Teaching Assistant at SUTD (2017.1 – 2017.5)
• Engineering in the Physical World and Design (Undergraduate Course), Teaching Assistant at SUTD (2016.1 – 2016.5)

Publication top Notes: