Faculty Directory
Diego Klabjan

Professor of Industrial Engineering and Management Sciences

Director of Master of Science in Analytics Program

Director, Center for Deep Learning

Contact

2145 Sheridan Road
Tech E278
Evanston, IL 60208-3109

Email Diego Klabjan

Website

Master of Science in Analytics

Klabjan's Homepage


Departments

Industrial Engineering and Management Sciences

Affiliations

Master of Science in Analytics Program


Download CV

Education

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

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


Biography

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

  • Ger, Stephanie; Klabjan, Diego; Utke, Jean, Classification Models for Partially Ordered Sequences, Springer Science and Business Media Deutschland GmbH:294-305.
  • Sifa, Rafet; Drachen, Anders; Block, Florian; Moon, Spencer; Dubhashi, Anisha; Xiao, Hao; Li, Zili; Klabjan, Diego; Demediuk, Simon, Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games, Association for Computing Machinery.
  • Yang, Jie; Klabjan, Diego, Bayesian Active Learning for Choice Models with Deep Gaussian Processes, IEEE Transactions on Intelligent Transportation Systems 22(2):1080-1092.
  • Craig, Nathan; DeHoratius, Nicole; Klabjan, Diego, Execution quality and chargeback penalties in retail supply chains, Journal of Operations Management 67(1):31-48.
  • Craig, Nathan; DeHoratius, Nicole; Klabjan, Diego, Execution quality and chargeback penalties in retail supply chains, Journal of Operations Management 67(1):31-48.
  • 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, Springer:297-308.
  • Koo, Jaehoon; Klabjan, Diego; Utke, Jean, Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images, Institute of Electrical and Electronics Engineers Inc.:1354-1361.
  • Kim, Cheolmin; Klabjan, DIego, A Simple and Fast Algorithm for L1-Norm Kernel PCA, IEEE Transactions on Pattern Analysis and Machine Intelligence 42(8):1842-1855.