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.
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Call for Presentations
The 17th INFORMS Computing Society Conference
January 23–25, 2022
Hilton Downtown in Tampa, Florida, USA.
100% in-person
http://ics2022tampa.eng.usf.edu/
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:
CONFIRMED PLENARY SPEAKERS
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)
CONFIRMED CLUSTER CHAIRS
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
PROGRAM COMMITTEE CO-CHAIRS
1. Hadi Charkhgard (University of South Florida)
2. Tapas Das (University of South Florida)
3. Changhyun Kwon (University of South Florida)
CURRENT SPONSORS
- AMPL
- SAS
- Industrial and Management Systems Engineering (IMSE) department @ University of South Florida (USF)
- Industrial Engineering and Management Sciences (IEMS) department @ Northwestern University
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Hadi Charkhgard
Assistant Professor
University of South Florida
Tampa FL
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