Diego Klabjan

Diego Klabjan is a Professor at Northwestern University within the Department of Industrial Engineering and Management Sciences. He serves as the Founding Director of the Master of Science in Machine Learning and Data Science Program and Director of the Center for Deep Learning.

• Ph.D. in Algorithms, Combinatorics, and Optimization from Georgia Institute of Technology (1999)
• B.S. in Applied Mathematics from University of Ljubljana (1994)

His research focuses on machine learning, deep learning, and analytics with applications in finance, transportation, sports, and bioinformatics. Key contributions include federated learning algorithms, reinforcement learning for cryptocurrency trading, and neural network applications in impact mechanics.

Recent publications highlight advancements in blockchain-based federated learning, second-order policy gradient convergence, and ensemble deep reinforcement learning. His work bridges theoretical foundations with industrial applications across diverse sectors.

• Preseren’s Award for the Best Undergraduate Thesis (1994)
• Transportation Science Section Dissertation Prize (2000)
• Intel's Outstanding Researcher Award (2019)
• Jack Meredith Best Paper Honorable Mention (2022)

Klabjan has advised notable students including Luis Guimarães (2015 APDIO/IO Award winner) and Young Woong Park (2015 INFORMS Computing Society Best Student Paper recipient). His collaborations span Fortune 500 companies and startups in analytics-driven domains.