People

The lab is led by Prof. Wen-Ren Yang and brings together graduate, undergraduate and international students.

Wen-Ren Yang楊文然

Principal Investigator

Department of Electrical Engineering, National Changhua University of Education

Associate Professor in the Department of Electrical Engineering, NCUE, since 2006. B.S. in electrical engineering from National Taiwan University of Science and Technology (1998); M.S. (2002) and Ph.D. (2006) in electrical engineering from the University of Missouri-Columbia. His work combines wavelet-based signal analysis, digital signal processing and power electronics with neural networks, applied to power quality, energy storage, industrial IoT and embedded recognition.

Expertise: Wavelet transforms and signal analysis
Digital signal processing
Power electronics and power quality
Neural networks and AI applications
Smart grids and battery energy storage
Integrated optics
Experience: 2006– Associate Professor, Department of Electrical Engineering, National Changhua University of Education
2024– Mentor, International Internship Pilot Program (IIPP), National Science and Technology Council
2020–2021 Associate Editor, American Journal of Neural Networks and Applications
2018–2024 Taiwan Experience Education Program (TEEP), Ministry of Education, Taiwan–India project: IoT for industry and agriculture
2018–2021 University–industry consulting projects for small and medium enterprises, Ministry of Economic Affairs: industrial IoT and machine learning
2016–2021 Review committee member, Small Business Innovation Research (SBIR), Taichung
2016–2018 Machine-tool vibration monitoring and analysis, industry–academia project with Hartford (She-Hong Industrial Co.)
2017 Vice Chairman and Executive Committee Member, Symposium on Semiconductor Power Conversion, Changhua
2016 Vice Chairman and Executive Committee Member, Taiwan Power Electronics Conference & Exhibition, Changhua
Research projects funded by the Ministry of Science and Technology on power quality monitoring for smart grids, flywheel voltage-sag compensation for contactless power transmission, and optical diffraction in optical storage
Reviewer for IEEE Access, IEEE Transactions on Vehicular Technology, ASME Journal of Solar Energy Engineering and other journals; session chair at IEEE ISIE, ICIEA and ICSSE

Current members 6

Heng-Jun Wang王衡均(Mori)

PhD student

Full-time PhD student working on 3D imaging with stereo cameras, drawing on computer vision, computer graphics and image processing, with MATLAB and Transformer models.

Hsu-Ping Yang楊勗平(Patric)

Master’s student 2025–

Master’s student working on the lab’s robotic arms and their simulation.

Kuan-Chun Chu朱冠軍(Erik)

Master’s student 2025–

Master’s student in the power electronics group, predicting harmonics of the campus battery energy storage system and building its data-acquisition module.

Papers and projects · 1

Projects: AI and Edge Computing for the Campus Battery Energy Storage System

Lakshmi Chandana Sappa(Chandana)

Master’s student 2025–

Master’s student in the International Master Program in Engineering (IMPE), detecting thyroid nodules in ultrasound images with YOLOv8: deep learning and computer vision for accurate, efficient AI-assisted diagnosis.

Pei-Shan Yang楊佩珊(Rosalina)

Master’s student 2025–

Master’s student working on surface electromyography (sEMG): estimating muscle force and detecting muscle fatigue from muscle signals.

Ting-Yi Lin林庭毅(Brian)

Master’s student 2025–

Master’s student working on multimodal emotion recognition from speech and text with Mamba state-space models and Transformers, alongside AI for biomedical signals, NLP and computer vision. He also deploys models at the edge, on the Grove Vision AI V2 and on FPGAs (PYNQ-Z2, Arty A7-100T).

Papers and projects · 5