Scholarship: Fully-funded
Degree: Bachelor, Master, Ph.D
Nationality: International Students
Location: USA
Application deadlines: Open
Scholarship Description:
Dr. Ren Wang’s research focuses on trustworthy AI, collective machine intelligence, and AI for engineering/biomedical applications. His work has been published in top journals and conferences in AI, machine learning, signal processing, and smart grids. He has received multiple NSF grants and the 2023 ORAU Ralph E. Powe Junior Faculty Enhancement Award.
Dr. Wang is a faculty member and executive committee member of the Institute for Data, Econometrics, Algorithms, and Learning (IDEAL) and coordinates industrial collaborations. His lab collaborates closely with leading AI labs, national labs, and universities in the U.S.
He organizes several conferences and workshops, including the Midwest ML Symposium, IEEE MASS, and workshops on privacy and interpretability in generative AI, as well as trustworthiness in machine learning. He also serves on program committees for major AI conferences.
For more information about Dr. Wang, visit his website.
The Trustworthy and Intelligent Machine Learning lab focuses on developing next-generation intelligent machine learning systems centered on trustworthiness. The research encompasses two key themes: trustworthy machine learning, addressing robustness, interpretability, transparency, scalability, privacy, and security; and intelligent machine learning engineering, which emphasizes reliable and efficient development of engineering methods, tools, and practices. The lab’s work is expected to impact various fields, including machine learning, computer vision, power systems, healthcare, and education.
The College of Engineering at Illinois Institute of Technology is renowned, with 41 faculty and alumni as members of the National Academy of Engineering. The electrical and computer engineering programs rank among the top 20 in the U.S. Notable alumni include Martin Cooper, Marvin Camras, Grote Reber, and Rohit Prasad.
Illinois Institute of Technology is a prestigious private research university, ranked in the top 80 by QS. It has produced four Nobel laureates and three Turing Award winners. Graduates have the highest average income among Chicago universities. Located in downtown Chicago, it offers excellent transportation and is recognized as one of the top five U.S. cities for studying abroad, known for its vibrant lifestyle and diverse cuisine, including ample Chinese food options.
Available Subjects:
- Trustworthy AI, collective machine intelligence, and AI for engineering/biomedical applications.
Eligibility criteria:
- Solid foundation in mathematics (linear algebra, statistics, probability) and strong programming skills.
- Passionate about research, hardworking, optimistic, and able to communicate effectively with advisors.
- (Plus) Experience in deep learning (familiar with Python, PyTorch, or TensorFlow).
- (Plus) Experience in publishing papers in relevant fields.
Application Procedure:
If interested, please send your resume and transcripts to [email protected].
