Green Energy & System Engineering (GESE)
Research Field
•Professor, Department of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan, 2011- now
Experiences
1. Professor and Head of Department of Chemical Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan, 2005~2008
2. Visiting Scholar, Department of Chemical Engineering, UCLA, CA, USA, 2004 (Sponsor by Prof. Vasilios Manousiouthakis)
3. Visiting Scholar, Department of Chemical Engineering, University of Delaware, Delaware, USA, 2009 (Sponsor by Prof. Babatunde A. Ogunnaike)
4. Visiting Professor, College of Chemical Engineering, East China University of Science and Technology, Shanghai, China, 2010 (Sponsor by Prof. Xinggui Zhou)
5. Visiting Scholar, Texas A&M Energy Institute, Texas A&M University, Texas, USA, 2015 (Sponsor by Prof. Christodoulos Floudas)
6. Visiting Professor, Department of Chemical Engineering, Wuhan University of Technology (WUT), Wuhan, China, 2015~2019. (Sponsorship by WUT)
7. Visiting Professor, Department of Chemical Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia, 2019 (Sponsorship by ITS)
8. Visiting Professor, Department of Chemical and Materials Engineering, University of Alberta, Alberta, Canada, 2023 (Sponsorship by Mitacs)
9. Visiting Professor, Department of Industrial Chemical Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia, 2024 (Sponsorship by ITS)
Performances
1. Google Scholar (https://scholar.google.com/citations?hl=zh-TW&user=I7JS6zMAAAAJ&view_op=list_works&sortby=pubdate):
2. Scopus: https://www.scopus.com/authid/detail.uri?authorId=8234745700
3. ScholarGPS: https://scholargps.com/scholars/85202999692410/wei-wu?e_ref=e302dc2bfa04b3f48253
Our research interests mainly focus on dynamic modeling, process control, industial process simulation, optimization, and AI applications. We are currently using the powerful process design software, i.e. ASPEN Plus and gPROMS, and popular numerical computing software, i.e. MATLAB, GAMS, and Ansys Fluent to precisely demonstrate system dynamics, 3D simulations and advanced process control. The current research members of GESE include 10 master’s students from the Chemical Engineering Department, 3 from the Academy of Innovative Semiconductor and Sustainable Manufacturing, 2 PhD students from India and Pakistan, and 2 postdocs from Iran and Indonesia.
1. CO2 capture and utilization
2. Microalgae biorefinery
3. Low-carbon production of iron/steel and cement
4. Life cycle analysis and circular economy
5. Simulated moving bed chromatography
6. AI in advancing chemical engineering processes and industrial practices
7. Energy, Exergy and Economic analysis and optimization
1. Professor Tsai-Teh Lai Award, Taiwan Institute of Chemical Engineers, 2016
2. Excellent Research Award, Advanced Semiconductor Engineering, Inc, 2018
3. Excellent Research Award, National Cheng Kung University, 2019
4. Best Paper Award, Taiwan Institute of Chemical Engineers, 2024
5. World's Top 2% Scientists 2020-2025
(https://topresearcherslist.com/Home/Profile/837777)
6. Distinguished Professor at NCKU since 2026
•Ph.D., Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, 1995
Job Description
Additional tasks include literature review on renewable energy integration, assistance in preparing technical reports and conference papers, and participation in group seminars. The intern will gain hands-on experience in process simulation software (Aspen Plus, MATLAB/Python), deep learning applications for industrial fault detection, and dynamic system design for small-scale hydrogen and ammonia processing. Duration: 3 - 6 months. The position offers exposure to cutting-edge research aligned with UN Sustainable Development Goals (SDG 7, 9, 12, 13).
Preferred Intern Educational Level
Undergraduate (junior/senior year) or Master's student majoring in Chemical Engineering, Chemical & Biomolecular Engineering, Energy Engineering, Mechanical Engineering, or a closely related discipline. Students with a strong academic record (GPA 3.3/4.0 or equivalent) are preferred.
Skill sets or Qualities
- Fundamentals of chemical engineering: thermodynamics, reaction engineering, transport phenomena, process control
- Proficiency with process simulation tools (Aspen Plus preferred; HYSYS, gPROMS acceptable)
- Programming skills in Python and/or MATLAB; familiarity with optimization or machine learning libraries is a plus
- Strong analytical, problem-solving, and data-analysis skills
- Good written and spoken English communication (TOEFL iBT 79+ / IELTS 6.0+ preferred)
- Self-motivated, responsible, and able to work both independently and in a team
- Interest in renewable energy, carbon capture, hydrogen economy, or sustainability
Job Description
Additional tasks include literature review on renewable energy integration, assistance in preparing technical reports and conference papers, and participation in group seminars. The intern will gain hands-on experience in process simulation software (Aspen Plus, MATLAB/Python), deep learning applications for industrial fault detection, and dynamic system design for small-scale hydrogen and ammonia processing. Duration: 8-12 weeks. The position offers exposure to cutting-edge research aligned with UN Sustainable Development Goals (SDG 7, 9, 12, 13).
Preferred Intern Educational Level
Undergraduate (junior/senior year) or Master's student majoring in Chemical Engineering, Chemical & Biomolecular Engineering, Energy Engineering, Mechanical Engineering, or a closely related discipline. Students with a strong academic record (GPA 3.3/4.0 or equivalent) are preferred.
Skill sets or Qualities
- Fundamentals of chemical engineering: thermodynamics, reaction engineering, transport phenomena, process control
- Proficiency with process simulation tools (Aspen Plus preferred; HYSYS, gPROMS acceptable)
- Programming skills in Python and/or MATLAB; familiarity with optimization or machine learning libraries is a plus
- Strong analytical, problem-solving, and data-analysis skills
- Good written and spoken English communication (TOEFL iBT 79+ / IELTS 6.0+ preferred)
- Self-motivated, responsible, and able to work both independently and in a team
- Interest in renewable energy, carbon capture, hydrogen economy, or sustainability