Projects per year
Personal profile
Personal profile
Dr. Ye WU is currently an assistant professor in the Department of Electrical and Electronics Engineering, School of Advanced Technology at Xian Jiaotong-Liverpool University (XJTLU). Dr. WU received her B.S. degree in Optical Information Science and Technology and M.S. degree in Optics from Harbin Institute of Technology, China, in 2010 and 2012 respectively. She got her Ph.D. degree in Electrical and Computer Engineering from Southern Illinois University, USA, in 2019.Her current research interests are wide bandgap device simulations, applications of machine learning in simulation, DTCO, and computer vision.
Experience
Assistant Professor, Xian Jiaotong-Liverpool University, 2021-Present
Chief Research Scientist, Bluewrist SLAC Robert Vision Solution Co., Ltd. 2020-2021
Product Manager, CAS Innovation and Incubation Centre, Suzhou, 2013-2014
Teaching
EEE103 Electrical Circuits I
INT104 Artificial Intelligence
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Ph,D., Electrical and Computer Engineering, Southern Illinois University, USA, 2019
Master, Optics, Harbin Institute of Technology, China, 2012
Bachelor, Optical Information Science and Technology, Harbin Institute of Technology, China, 2010
Research areas
- AI for device modeling
- DTCO
- Semiconductor devices
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Projects
- 2 Active
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Suzhou Industrial Park MEMS Advanced High-Performance Sensor Chip Technology Achievement Transformation Platform
Zhao, C. (PI), lim, E. (Team member), Xiao, J. (Team member), Chen, M. (Team member), Xue, F. (Team member), Wang, Q. (Team member), Song, P. (Team member), Gu, J. (Team member), Liu, Y. (Team member), Lu, Q. (Team member), Fang, Y. (Team member), Shi, Y. (Team member), Cui, M. (Team member), Wu, Y. (Team member), Chen, X. (Team member), Fang, L. (Team member), Xu, X. (Team member), Liu, Q. (Team member), Wu, J. (Team member) & Zhao, H. (Team member)
1/10/24 → 30/09/26
Project: Governmental Research Project
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The investigation of machine learning for modeling nano-scaled semiconductor devices
Wu, Y. (PI)
1/09/22 → 28/02/26
Project: Internal Research Project
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A temperature self-compensating fiber-optic magnetic field sensor based on Mach-Zehnder interferometer and Vernier effect
Wang, C., Pan, R., Yang, Y., Wu, H., Wu, Y., Yang, H., Ji, R. & Yang, W., Mar 2025, In: Optical Fiber Technology. 90, 104096.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
High-precision visual inspection defect detection system on CFRP using small aperture optical device and computer vision
Zeng, J., Chen, F., Amir, F. A., Wu, Y. & Ye, L., 29 Jul 2025, 8th International Conference on Material Strength and Applied Mechanics. Vol. 2025.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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HIGH-PRECISION VISUAL INSPECTION DEFECT DETECTION SYSTEM ON CFRP USING SMALL APERTURE OPTICAL DEVICE AND COMPUTER VISION
Zeng, J., Chen, F., Amir, F. A., Wu, Y. & Ye, L., 2025, 8th International Conference on Material Strength and Applied Mechanics, MSAM 2025. Chen, Y. & Khotsianovsky, A. (eds.). 17 ed. Institution of Engineering and Technology, Vol. 2025. p. 24-27 4 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Optimization of 6T-SRAM Cell Based on CNN-Informed NSGA-II with Consideration of Parasitic Resistance
Zheng, Q., Wu, Y., Zhao, C. & Zhou, J., 13 Oct 2025, In: Electronics (Switzerland).Research output: Contribution to journal › Article › peer-review
Open Access -
孔内缺陷自动检测设备
Translated title of the contribution :An automatic hole defect detection equipment Research output: Patent
Activities
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Design and Optimization of Composite Material Defect Detection System Based on Embodied Intelligence
Ye Wu (Supervisor)
Sept 2025 → Jun 2028Activity: Supervision › PhD Supervision
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Advanced Autonomous Multi-Modal Defect Detection for CFRP
Ye Wu (Supervisor)
Feb 2025 → Jun 2026Activity: Supervision › Master Dissertation Supervision
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The 2nd International Conference on Smart Electrical Grid and Renewable Energy
Ye Wu (Participant)
9 Aug 2024 → 12 Aug 2024Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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TCAD Augmented Machine Learning for Semiconductor Variation Identification and Inverse Design
Ye Wu (Supervisor)
15 Jun 2024 → 23 Aug 2024Activity: Supervision › Completed SURF Project
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DESIGN OF AN AUTOMATED DEFECT DETECTION SYSTEM ON CFRP
Ye Wu (Supervisor)
Apr 2024 → Apr 2025Activity: Supervision › Master Dissertation Supervision