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
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Active
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The investigation of machine learning for modeling nano-scaled semiconductor devices
1/09/22 → 30/08/25
Project: Internal Research Project
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A deep learning assisted fiber optic sensor capable of simultaneously measuring temperature and vector magnetic field
Pan, R., Wang, C., Yang, W., Liu, J., Zhang, L., Yu, S., Wu, H., Zhang, M. & Wu, Y., 2024, (Accepted/In press) In: IEEE Sensors Journal. p. 1 1 p.Research output: Contribution to journal › Article › peer-review
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Advanced Dual-Input Artificial Optical Synapse for Recognition and Generative Neural Network
Liu, Z., Fang, Y., Cai, Z., Liu, Y., Dong, Z., Zheng, R., Shen, Z., Qu, W., Fu, J., Ru, C., Wu, Y., Gu, J., Liu, Q. & Zhao, C., Oct 2024, (Accepted/In press) In: Nano Energy.Research output: Contribution to journal › Article › peer-review
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A Flexible Framework Based on Finite-Element Method for Capacitance Extraction of 3-Dimensional Interconnects
Zheng, Q., Wu, Y. & Zhang, Z. C., 2024, (Accepted/In press) 2024 IEEE International Conference on Semiconductor Electronics (ICSE).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Edge-Assisted Low-Latency Object Detection for Networked Vehicles Using Point Cloud
Qin, T., Hou, J., Yang, P., Cao, X. & Wu, Y., 2024, Proceedings - 2024 International Conference on Cloud and Network Computing, ICCNC 2024. Institute of Electrical and Electronics Engineers Inc., p. 49-56 8 p. (Proceedings - 2024 International Conference on Cloud and Network Computing, ICCNC 2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Brain-Metaverse Interaction for Anxiety Regulation
Jin, N., Wu, Y., Park, J., Qin, Z. & Liang, H. N., 2023, 2023 9th International Conference on Virtual Reality, ICVR 2023. Institute of Electrical and Electronics Engineers Inc., p. 385-392 8 p. (2023 9th International Conference on Virtual Reality, ICVR 2023).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
3 Citations (Scopus)
Activities
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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
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Machine learning assisted modeling framework for DTCO
Ye Wu (Supervisor)
Sept 2023 → 31 Aug 2026Activity: Supervision › PhD Supervision
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TCAD Augmented Machine Learning Framework for Troubleshooting GaN Device Failures
Ye Wu (Supervisor)
15 Jun 2023 → 25 Aug 2023Activity: Supervision › Completed SURF Project