National Changhua University of Education

Embedded System Laboratory

Wen-Ren Yang
http://ee.ncue.edu.tw/EE04/ee04_10.html

Research Field

Emerging/Other Fields

Introduction

Wen-Ren Yang received the B.S. degree in electrical engineering from National Taiwan University of Science and Technology, Taipei, Taiwan, 1998 and the M.S. and Ph.D. degrees in electrical engineering from the University of Missouri-Columbia, MO, USA, in 2002 and 2006, respectively. In 2006, he joined the National Changhua University of Education, Changhua, Taiwan, where he is currently an Associate Professor in the Department of Electrical Engineering. He is also appointed as the director of Artificial Intelligent Application Center, NCUE. His research interests include wavelet transform, neural network, and integrated optics.

https://ncue-ee-aial.github.io/Artificial-Intelligence-Application-Labratory-Website/


Research Topics

Digital Signal Processing & Neural Network Applications

  1. Short-Time Fourier & Wavelet Transforms & Long-Short Term Neural Network for Power Quality Analysis
    (1) 1 MW battery storage energy system operation prediction  
    (2) Campus-wide power system frequency stability prediction
    (3) Solar power system harmonics analysis & prediction
  2. Wavelet-Neural Networks for Industrial Internet-of-Things (IIoT)
    (1) Feature Extraction
    (2) System Response Identification
    (3) System Status Identification
  3. Wavelet-Neural Networks for Embedded Image Recognition Applications
    (1) Feature Extraction
    (2) Contour Identification
    (3) Object Recognition

Honor

1. Industrial and agricultural IoT applications, Taiwan Experience Education Programs (TEEP), Taiwan-India, Ministry of Education Taiwan, January 2018~2024.
2. Industrial IoT and machine learning applications, University-Industry Collaboration for Small-Medium Enterprises Consulting Projects, Ministry of Economy Taiwan 2018~2021.
3. Small Business Innovation Research (SBIR) session committee. Taichung, Taiwan, 2016~2021.
4. Associate Editor: American Journal of Neural Networks and Applications (AJNNA), 2020~2021.
5. Investigation of optical diffraction characteristics for an optical storage system. Ministry of Science & Technology, Taiwan.
6. Voltage sag monitoring and compensation by using flywheel for a contactless power transmission system. Ministry of Science & Technology, Taiwan.
7. Power quality monitoring based on smart grid standards. Ministry of Science & Technology, Taiwan.
8. Tool machine vibration monitoring and analysis. Hartford, She-Hong Industrial Co., Industry-Academia-Research Cooperation, 2016~2018.
9. Vice chairman and executive committee, Taiwan Power Electronics Conference & Exhibition, Changhua, Taiwan, Sept. 2016.
10. Vice chairman and executive committee, Symposium on Semiconductor Power Conversion. Changhua, Taiwan, Oct. 2017.
11. Reviewer: ASME Journal of Solar Energy Engineering, IEEE Access, IEEE Transactions on Vehicular Technology, International Journal of Electronics, International Journal of Electrical Engineering, Frontiers of Information Technology & Electronic Engineering, IEEE ISIE, IEEE ICIEA, IEEE ICSSE, IEEE ICIEA, IEEE ICIEA, IEEE MWSCAS.
12. Session chair: IEEE ISIE, IEEE ICIEA, IEEE ICSSE.


Educational Background
  1. B.S: Electrical Engineering from National Taiwan University of Science and Technology, Taipei, Taiwan, 1998
  2. M.S. and Ph.D.: Electrical Engineering, University of Missouri-Columbia, MO, USA, 2006.

2 Vacancies

Job Description

  1. Collaboration with undergraduate capstone project groups
  2. Collaboration with graduate or Ph.D students
  3. Academic manuscript preparations  

Preferred Intern Education Level

  1. Major: Electrical, electronic, or computer engineering.

Skill sets or Qualities

  1. Digital signal processing
  2. Machine learning or artificial neural networks
  3. Python, C, C++, and Matlab. 

2 Vacancies

Job Description

  1. Collaboration with  undergraduate capstone project students
  2. Collaboration with graduate students
  3. Academic manuscript draft preparations  

Preferred Intern Education Level

  1. Majors: Electrical, electronic, or computer engineering

Skill sets or Qualities

  1. Python, C, C++, and Matlab.
  2. Digital signal processing, image processing, and related backgrounds.