Scholar
Ren Wang
Google Scholar ID: TY_3K48AAAAJ
Illinois Institute of Technology
Citations & Impact
Citations
509
H-index
11
i10-index
11
Publications
20
Co-authors
20
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Published widely in top-tier conferences and journals spanning machine learning, signal processing, computer vision, power systems, and bioinformatics
- - Served as an area chair for several premier conferences
- - Received the 2023 ORAU Ralph E. Powe Junior Faculty Enhancement Award
- - As Principal Investigator, has led multiple research projects supported by U.S. federal agencies such as the NSF and DoE
- - Paper DREAM-GNN: Dual-route embedding-aware graph neural networks for drug repositioning accepted by Briefings in Bioinformatics
- - Paper Identifying Backdoored Graphs in Graph Neural Network Training accepted by IEEE Transactions on Information Forensics & Security
Research Experience
- - Assistant Professor in the Department of Electrical and Computer Engineering at Illinois Institute of Technology
- - Postdoctoral Research Fellow (and Lecturer) in the Department of Electrical Engineering and Computer Science at the University of Michigan
- - Research projects involve Trustworthy Machine Learning, Population-Based Machine Learning, etc.
Education
- - Ph.D. from the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute
- - Master's degree in Electrical Engineering from Tsinghua University
- - Bachelor's degree in Electrical Engineering from Tsinghua University
Background
- Research interests include Trustworthy Machine Learning, Population-Based Machine Learning, Machine Learning for Smart Grids, and Machine Learning for Biology and Healthcare. His long-term vision is to develop next-generation trustworthy and intelligent machine learning systems that accelerate progress in engineering and scientific discovery.
Miscellany
- - Openings for highly motivated PhD/Master students with a background in Artificial Intelligence/Machine Learning/Signal Processing/Mathematics/Power Systems
- - Open to collaboration with highly motivated students, requiring a continuous project duration of at least five months
