I am a 4th-year PhD student at The University of Hong Kong (HKU), where I am privileged to be advised by Prof. Zhongrui Wang and Prof. Han Wang. My research lies at the intersection of advanced semiconductor devices and next-generation artificial intelligence, with a specific focus on in-memory computing. My current work involves the circuit-level optimization of RRAM-based in-memory computing systems, aiming to overcome hardware bottlenecks in energy-efficient AI deployment.

Also with a background in power electronics and motor control, I have developed capabilities in circuit design and control system simulation. I aim to empower traditional industrial frameworks by integrating the intelligent capabilities of in-memory computing, leveraging the synergistic strengths of both to build smarter and more efficient systems.

News

Education

The University of Hong Kong (HKU) 2022.09 - Present

Ph.D. Student at Department of Electrical and Computer Engineering (ECE)

Topics: In-memory computing, resistive memory and analog circuit design

Advisor: Prof. Zhongrui Wang and Prof. Han Wang

Huazhong University of Science and Technology (HUST) 2019.09 - 2022.06

M.S. at Center for Advanced Electrical Machine and Drives (CAEMD)

Topics: Active magnetic bearing, control system, power electronics

Advisor: Prof. Dong Jiang and Prof. Ronghai Qu

Huazhong University of Science and Technology (HUST) 2015.09 - 2019.06

B.S. at School of Electrical and Electronic Engineering (SEEE)

Selected Publications

(Below is a highlight, see the full list in the Publications tab)

1. Jichang Yang, et al. “Mitigating IR Drop in 1T1R CIM Architectures.” Under Review, 2026.
2. Jichang Yang, et al. “Resistive Memory-based System for Machine Unlearning.” In Proceedings of [Conference Name], 2026.

Contact

📧 Email: yangjc100@connect.hku.hk
📍 Office: [Room 324/Haking Wong Building], HKU, Hong Kong