Changjin Wan

Oxide Materials and Devices


Nanjing University , Electronic Building, 163 Xianlin Ave., Qixia District, Nanjing, Jiangsu Province, 210023






Dr Zhaofu Zhang received the B.S. degree from Nankai University in 2014, and the Ph.D degree from The Hong Kong University of Changjin Wan received his Ph.D. degree from the University of Chinese Academy of Sciences in 2016. Between 2016 and 2020, he was a postdoctoral researcher in Prof. Xiaodong Chen's group at Nanyang Technological University. He joined the School of Electronic Science and Engineering of Nanjing University in 2020. He is the recipient of the Overseas High-Level Talent (2020), Springer Theses Award (2018), the Chinese Academy of Science President Award (2016), etc. Dr. Wan's current research focus is on neuromorphic electronics. He has published more than 60 papers in Advanced Materials, Nature Communication, IEEE series journals, etc. with total citations of over 3800 and Hindex of 31 (by Google Scholar). He also published a book "Electric-double-layer coupled oxide-based neuromorphic transistors studies" by Springer Nature.



Abstract for Presentation

Metal Oxide-based Neuron for Neuromorphic Computation and Perception


The in-depth understanding of information processing in the central nervous system, it’s of great implications for new insight into the limitations and challenges of nowadays’ semiconducting technologies. Our human receives external information by the sensory neural system and processes them by the central nervous system, resulting in the interaction with real-world by the motor neural system. Therefore, the design of biologically plausible information processing devices, such as bioinspired in-memory computing and in-sensor computing devices, are of great interesting for endowing electronics with sensory-motor abilities. This talk will focus on the metal oxide based neuromorphic devices for neuromorphic computation and perception. The scientific and technological issues concerning on the construction of neuromorphic sensorimotor system will be discussed. The aim of this topic is to develop a hardware system with human-like perceptual, computing, and control capabilities, which would propel the development for artificial intelligent systems, humanoid robotics, future manufacturing, and so on.

 [1] C. Wan, P. Cai, M.. Wang, Y. Qian, W. Huang*, X. Chen*. Adv. Mater., 32 (2019) 1902434.

[2] C. Chen, Y. He, H. Mao, L. Zhu, X. Wang, Y. Zhu, Y. Zhu, Y. Shi, C. Wan*, Q. Wan*. Adv. Mater. (2022) 2201895