Kangwook Lee

Kangwook Lee serves as a Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison, maintaining his office in M1002G, Engineering Centers Building at 1550 Engineering Dr, Madison, WI. His research program bridges theoretical foundations with practical AI applications, focusing on machine learning, deep learning, information theory, and coding systems.

Dr. Lee's educational background includes a PhD (2016) and MS (2012) from the University of California-Berkeley, and a BS (2010) from Korea Advanced Institute of Science and Technology (KAIST) where he graduated with the highest GPA. His recent work has focused on generative AI, particularly developing information and coding theory-based frameworks for prompt engineering, which earned him the 2023 Amazon Research Award.

• NSF CAREER Award (2024)
• Amazon Research Award (2023)
• MLSys Workshop Best Paper Award (2023)
• IEEE Transactions of Information Theory Most Cited Paper (2016-2020)
• IEEE Joint Communications Society/Information Theory Society Paper Award (2020)

At UW-Madison, Dr. Lee teaches Introduction to Artificial Neural Networks (ECE/COMP SCI 539) and Ethics of Data for Engineers (ECE/ISyE 570), while mentoring graduate students through various thesis and dissertation research courses as evidenced by his teaching schedule extending through Fall 2025.