INFORMS Open Forum

Deadline extended to NOV 1st (FINAL): 2022 INFORMS Computing Society Conference: TAMPA (FL): January 23–25

  • 1.  Deadline extended to NOV 1st (FINAL): 2022 INFORMS Computing Society Conference: TAMPA (FL): January 23–25

    Posted 10-17-2021 11:01

    Due to the significant number of requests that we received, the 2022 ICS organizing committee decided to extend the abstract submission deadline until Nov 1st (FINAL).
    Please submit your abstract.
    Follow @ics2022tampa in Twitter for latest news.

    Call for Presentations

    The 17th INFORMS Computing Society Conference  

    January 23–25, 2022  

    Hilton Downtown in Tampa, Florida, USA. 

    100% in-person 


    The INFORMS Computing Society (ICS) is soliciting presentations for its seventeenth conference. ICS is focused on contributions at the interface of computer science, artificial intelligence, operations research, and management science. The conference organizers invite submissions discussing novel theoretical and applied research consistent with the ICS focus. We especially encourage submissions targeting this year's conference theme: The Machine Learning and Optimization Nexus


    Topics of Interest Include:

    • Optimization Methods in Machine Learning 
    • Interface between Optimization and Artificial Intelligence 
    • Computational Optimization and Solvers 
    • Constraint Programming and Decision Diagrams 
    • Simulation 
    • Modeling Systems and Languages 
    • Heuristic Search 
    • Open Source Software 
    • Computational Stochastic Optimization 
    • Integer Programming 
    • Network Applications 
    • Mixed Integer Nonlinear Programming 
    • Power Systems 
    • Quantum Computing 
    • Applications 
    • Reinforcement Learning 
    • Multi-objective Optimization 

      Submit an abstract:  

      Abstract submission deadline (FINAL):  
      November 01, 2021 

      Support 2022 ICS conference: 


      1. Katya Scheinberg (Cornell University) 
      2. Andrea Lodi (Polytechnique Montreal) 
      3. Illya V. Hicks (Rice University) 
      4. Bistra Dilkina (University of Southern California) 
      5. Ojas D. Parekh (Sandia National Laboratories)

      1. Constraint Programming: Laurent Michel, University of Connecticut
      2. Computational Optimization and Solvers: 
       Oliver Hinder, University of Pittsburgh
      3. Decision Diagrams: 
      Willem-Jan van Hoeve, Carnegie Mellon University
      4. Integer Programming:
       Merve Bodur, University of Toronto
      5. Interface between Optimization and Artificial Intelligence:
       Elias Khalil, University of Toronto
      6. Modeling Systems and Languages: 
      Benoît Legat, Massachusetts Institute of Technology
      7. Multi-objective Optimization:
       Hadi Charkhgard, University of South Florida
      8. Network Applications:
       Austin Buchanan, Oklahoma State University
      9. Optimization Methods in Machine Learning: 
      Thiago Serra, Bucknell University
      10. Power Systems:
       Kibaek Kim, Argonne National Laboratory
      11. Quantum Computing:
       Giacomo Nannicini, IBM
      12. Reinforcement Learning: 
      Jinkyoo Park, KAIST


      1. Hadi Charkhgard (University of South Florida) 
      2. Tapas Das (University of South Florida) 
      3. Changhyun Kwon (University of South Florida)

      • AMPL
      • SAS
      • Industrial and Management Systems Engineering (IMSE) department @ University of South Florida (USF)
      • Industrial Engineering and Management Sciences (IEMS) department @ Northwestern University 

      Hadi Charkhgard
      Assistant Professor
      University of South Florida
      Tampa FL