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College of Engineering
Caisheng Wang

Caisheng Wang

Professor, Electrical and Computer Engineering; Director, NSF IUCRC eCAT Center

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Caisheng Wang

Biography

Caisheng Wang received his B.S. and M.S. degrees in electrical engineering from Chongqing University, Chongqing, China, in 1994 and 1997, respectively, and the Ph.D. degree in electrical engineering from Montana State University, Bozeman, MT, USA, in 2006. From August 1997 to May 2002, he was an Electrical Engineer and then the Vice Department Chair with Zhejiang Electric Power Test & Research Institute, Hangzhou, China.

He has been a professor in the Electrical and Computer Engineering department since August, 2006.

Research Interests

  • Renewable/Alternative Energy Systems and System Integration
  • Power Systems, Distributed Generation Systems, Microgrids, Smart Grid, and Cyber Physical Systems
  • Power Electronic Devices, and Electric Machines
  • Electric Drive Vehicles and Energy Storage Devices
  • Diagnosis and Online Monitoring of Electric Apparatus
  • High Voltage Engineering

 A brief introduction to Dr. Wang’s research and lab, and a virtual tour of the Power Electronics and Control Lab.

Files for Download

Research Group

New PhD and Post-doc Positions Available

The Power & Energy Team at Wayne State University is seeking multiple PhD students and Postdocs in the areas of power electronics, particularly in high-power DC/DC converters. Selected students/Postdocs will be advised by Prof. Caisheng Wang.

The successful candidates are expected to have a Ph.D. in Electrical Engineering or closely related field. In addition to good publication records, it is preferable for the candidates to have strong hand-on ability and experiences in power converter circuits implementation. The suitable and interested applicants may contact Prof. Wang directly at cwang@wayne.edu with a detailed CV and a list of three references.

The Ph.D. students should have a MS degree in Electrical Engineering or closely related field. The Ph.D. students are expected to have necessary background and skills for carrying out high-quality research and implementation of power electronic converters that may include wide bandgap devices. The interested students please contact Prof. Wang at cwang@wayne.edu with their CVs, GRE scores, and TOFEL/IELTS scores (for international students).

Wayne State University is a premier, public, urban research university located in the heart of Detroit, where students from all backgrounds are offered a rich, high quality education. Our deep‐rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities, preparing students for success in a diverse, global society.

Research Projects

  • NSF IUCRC (Industry–University Cooperative Research Centers) Program, Center for electric Connected and Autonomous Technologies for Mobility (eCAT)
  • Data-driven Community-centered Resilient Assessment and Planning Toolkit for Nexus of Energy and Water (DCRAPT-NEW), DOE>
  • Collaborative Research: Cyber-Secure and Resilient Supervisory Control of Networked Discrete-Event Systems, NSF
  • PCBCraft: A hands-on certificate program in printed circuit board design, manufacturing, and test, MEDC
  • CareerCraft: Industry-Aligned Certificate Programs in Electrical Engineering, MEDC
  • High Power DC-DC Converters for Electric VehiclesWide Bandgap (WBD) Semiconductor Based Inverters with High Power Density and Efficiency, JJE N.A.
  • REU Site: Summer Academy in Sustainable Manufacturing, NSF, Faculty Advisor on Power Electronic Converters for Sustainable Energy Development
  • Identifying Generation and Emission Sources for Individual Loads at Specific Locations and Times: Toward Environmentally Sensitive and Guided Electricity Usage, NSF
  • (1) Create a novel electric circuit theory based method for tracing power flows between individual loads and generation sources without any power flow distribution assumptions. The generation sources and the corresponding emissions will be accurately identified and calculated for the total demand of individual loads at any location and time.
  • (2) Construct an LMP based and binding constraint informed method to identify specific marginal generators and to quantify locational marginal emissions (LMEs) due to incremental changes of individual loads in real time. Since the proposed method requires only publicly available information, it is particularly suitable for regular users who do not have access to confidential or proprietary information of power grid.
  • (3) Develop and verify an economic/environmental optimal load management method based on LME and LMP signals. Just like the LMPs, the LME values can be published at specific locations in real time as well. Our focus is load management and the emission information delivery for residential users.
    • Relevant work: http://www.leem.today
  • Real-time Energy Impact Monitors for Residential, Industrial and Policy Use, Great Lakes Protection Fund.
  • Advanced Real-Time Battery Characterization and Management: Safe, Reliable, and Optimal Operation of Battery Systems for Electric-Drive Vehicles and Grid Support, NSF.
  • Plug-in Hybrid Vehicle Demo Unit for Macomb Community College
  • Advanced Energy Storage Systems: Preparing for Sustainable Energy Development, NSF.
  • Optimal Distributed Control of Power Grids with Multiple Alternative Energy Distributed Generation Microgrids: Towards Reliable, Sustainable and Clean Power Generation, NSF.
  • Development and Implementation of Degree Programs in Electric Drive Vehicle$5,000,000, Jan 2010 - Dec 2012. (Multiple-PI Project; Program Director: Simon Ng), DOE.
  • Real-Time System Optimization for Sustainable Water Transmission and Distribution (PI: Carol Miller), Great Lakes Protection Fund.
  • Microgrid Test Bench Consisting of Wind, Solar, and Fuel Cell Power Generation Sources

Education

Laboratory Web Site

 NSF IUCRC eCAT Center, https://www.ecat.center/

Courses taught by Caisheng Wang

Fall Term 2024 (future)

Winter Term 2024 (current)

Fall Term 2023

Winter Term 2023

Fall Term 2022

Winter Term 2022

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