Faculty Directory
Diego Klabjan

Professor of Industrial Engineering and Management Sciences

Director of Master of Science in Analytics Program

Director, Center for Deep Learning


2145 Sheridan Road
Tech E278
Evanston, IL 60208-3109

Email Diego Klabjan


Master of Science in Analytics

Klabjan's Homepage


Industrial Engineering and Management Sciences


Master of Science in Analytics Program

Download CV


Ph.D. Industrial Engineering, Georgia Institute of Technology, Atlanta, GA

B.S. Applied Mathematics, University of Ljubljana, Ljubljana, Slovenia


Diego Klabjan is a professor at Northwestern University, Department of Industrial Engineering and Management Sciences. He is also Founding Director, Master of Science in Analytics. After obtaining his doctorate from the School of Industrial and Systems Engineering of the Georgia Institute of Technology in 1999 in Algorithms, Combinatorics, and Optimization, in the same year he joined the University of Illinois at Urbana-Champaign. In 2007 he became an associate professor at Northwestern and in 2012 was promoted to a full professor. His research is focused on machine learning, deep learning and analytics with concentration in finance, transportation, sport, and bioinformatics. Professor Klabjan has led projects with large companies such as Intel, Baxter, Allstate, AbbVie, FedEx Express, General Motors, United Continental, and many others, and is also assisting numerous start-ups with their analytics needs. He is also a founder of Opex Analytics LLC.

Research Interests

Machine learning and artificial intelligence - text analytics, deep learning, optimization; transportation, finance, bioinformatics

Selected Publications

  • Sifa, Rafet; Fedell, Michael; Franklin, Nathan; Klabjan, Diego; Ram, Shiva; Venugopal, Arpan; Demediuk, Simon; Drachen, Anders, Retention Prediction in Sandbox Games with Bipartite Tensor Factorization, Intelligent Computing - Proceedings of the 2020 Computing Conference
  • Craig, Nathan; DeHoratius, Nicole; Klabjan, Diego, Execution quality and chargeback penalties in retail supply chains, Journal of Operations Management
  • Kim, Cheolmin; Klabjan, DIego, A Simple and Fast Algorithm for L1-Norm Kernel PCA, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Park, Young Woong; Klabjan, Diego, Subset selection for multiple linear regression via optimization, Journal of Global Optimization
  • Zhu, Xiaofeng; Klabjan, Diego, Listwise learning to rank by exploring unique ratings, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining
  • Klabjan, Diego; Harmon, Mark, Activation Ensembles for Deep Neural Networks, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
  • Xue, Ye; Klabjan, Diego; Luo, Yuan, Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
  • Aung, Myat; Demediuk, Simon; Sun, Yuan; Tu, Ye; Ang, Yu; Nekkanti, Siva; Raghav, Shantanu; Klabjan, Diego; Sifa, Rafet; Drachen, Anders, The trails of Just Cause 2, Proceedings of the 14th International Conference on the Foundations of Digital Games, FDG 2019