Faculty Directory
Diego Klabjan

Professor of Industrial Engineering and Management Sciences

Director of Master of Science in Analytics Program

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

Education

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

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


Research Interests

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


Selected Publications

  • Anders Drachen, James Green, Chester Gray, Elie Harik, Patty Lu, Rafet Sifa, Diego Klabjan, “Guns and guardians”, 2016 IEEE Conference on Computational Intelligence and Games, CIG 2016, (2017)
  • Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams, “Algorithms for generalized Clusterwise linear regression”, INFORMS Journal on Computing, (2017)
  • Young Woong Park, Diego Klabjan, “Three iteratively reweighted least squares algorithms for L1-norm principal component analysis”, Knowledge and Information Systems, (2017)
  • Alexandros Nathan, Diego Klabjan, “Optimization for large-scale machine learning with distributed features and observations”, Machine Learning and Data Mining in Pattern Recognition - 13th International Conference, MLDM 2017, Proceedings, (2017)
  • Christopher T. Richards, Baiyang Wang, Eddie Markul, Frank Albarran, Doreen Rottman, Neelum T. Aggarwal, Patricia Lindeman, Leslee Stein-Spencer, Joseph M. Weber, Kenneth S. Pearlman, Katie L. Tataris, Jane L. Holl, Diego Klabjan, Shyam Prabhakaran, “Identifying Key Words in 9-1-1 Calls for Stroke”, Prehospital Emergency Care, (2017)
  • Young Woong Park, Diego Klabjan, “Iteratively reweighted least squares algorithms for L1-Norm principal component analysis”, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016, (2017)
  • Dong Zhang, Diego Klabjan, “Optimization for gate re-assignment”, Transportation Research, Series B: Methodological, (2017)
  • Timothy M. Sweda, Irina S. Dolinskaya, Diego Klabjan, “Optimal recharging policies for electric vehicles”, Transportation Science, (2017)