Center for Deep Learning

Welcome!

Diego Klabjan's research is focused on deep learning, reinforcement learning, and other topics in machine learning and AI. Developing new models and algorithms is his expertise together with underlying theoretical analyses. In terms of industries, he has projects in bioinformatics, insurance, transportation, sports and finance. Among other companies, he has collaborated with AllState, Anthem, Baxter, Intel, Stats LLC, United Airlines, American Airlines, Sabre Holdings, FedEx Express, General Motors, and NASA.  

Diego Klabjan is a professor at the Northwestern University, Evanston, Illinois, Department of Industrial Engineering and Management Sciences. 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 as an assistant professor in the former department of Mechanical and Industrial Engineering. In summer 2007 he accepted an associate professor tenured position at Northwestern University. In 2012 he was promoted to a full professor at Northwestern University. He is the recipient of the first prize of the 2000 Transportation Science Dissertation Award and the Preseren's award for the outstanding undergraduate thesis. 

He is the Director of the Master of Science in Machine Learning and Data Science and he serves as Director, Center for Deep Learning. 

Ph. D. in Algorithms, Combinatorics, and Optimization

Georgia Institute of Technology, Atlanta, GA
Major: Algorithms, Combinatorics, and Optimization


Dissertation: Topics in Airline Crew Scheduling and Large-Scale Optimization

Advisers: George Nemhauser & Ellis Johnson


July 1999

B.S. in Mathematics

University of Ljubljana, Ljubljana, Slovenia

Major: Applied Mathematics

Thesis: A Randomized Algorithm for Computing the Volume of a Convex Set

Adviser: Bojan Mohar 


March 1994
Awards

  • Preseren’s Award for the Best Undergraduate Thesis, University of Ljubljana, Slovenia, 1994.
  • First Prize 2000 Transportation Science Section Dissertation Prize, INFORMS, San Antonio, 2000. 
  • Pushing the Boundaries of the Possible, Intel's Outstanding Researcher Award, 2019.
  • Jack Meredith Best Paper Awards Honorable Mention, Journal of Operation Management, 2022.

Awards by Students

  • 2004 Anna Valicek Medal Winner, AGIFORS, Singapore (Rivi Sandhu, Integrated Airline Planning)
  • 2006 Best Student Paper, The 22nd International Conference on Data Engineering, Atlanta, GA (Hector Gonzales, Warehousing and Analyzing Massive RFID Data Sets
  • 2011 Student Paper Contest, Railway Application Section of INFORMS, Second prize, Charlotte, NC (by post-doctoral student Conrado Borraz)
  • 2015 APDIO/IO Award, Best Thesis in years 2013-2014 by Portuguese OR Society (by Ph.D. student Luis Guimarães)
  • 2015 Isabel Themido Award, best paper in 2013-2014 by Portuguese OR Society (by Ph.D. student Luis Guimarães)
  • 2015 INFORMS Computing Society, Best Student Paper (by Ph.D student Young Woong Park)
  • ​2017 IEEE International Conference on Information Reuse and Integration, Best Student Paper (by Ph.D student Xiaofeng Zhu)
Interviewed for Supply Chain Now: Innovation in Motion: How Noodle.AI Empowers Supply Chains supplychainnow.com/innovation-motion-empowers-supply-chains-1181/
Plenary speaker: Taking Artificial Intelligence to the next level, Analytics Forum 2020, Bogota, Colombia
Interviewed for DataMind Podcast: drive.google.com/file/d/1yRqqdPyUBaE7GAZ73oVl-o2vO-8l1dCC/view
Podcast with me on DataCrunch: datacrunchcorp.com/podcast/deep-learning-microwaves-and-bugs/
Patent No. 10,467,556, inventor Diego Klabjan, Information systems and methods for deployment of charging infrastructure in support of electric vehicles
Plenary speaker: Machine learning optimization and modeling: Challenges and Solutions to Data Deluge, 11th ICT Innovations Conference, Ohrid, North Macedonia
My work discussed on CNN
www.cnn.com/travel/article/best-way-disembark-airplane/index.html
Deep Learning in Finance Summit My interview on AI: https://www.youtube.com/watch?v=K250GkPZ-EI&t=9s 
Received Intel's Outstanding Researcher Awardhttps://www.linkedin.com/feed/update/urn:li:activity:6517185918586232832/
Spoke at Deep Learning in Finance www.re-work.co/events/deep-learning-in-finance-summit-london-2019
Quoted in Fastcompany: www.fastcompany.com/90315430/why-forgetting-at-work-sometimes-helps-you-make-better-decisions
Podcast on AI with BeyeNetwork
White paper on big data for R&D
iri-big-data.pdf
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Official publication:
Research-Technology Management 
Volume 60, 2017 - Issue 5
Global Artificial Intelligence Conference invited Klabjan to talk on AI. Santa Clara, January 19 
Talk title: Deep Learning Applications in Business