IOS2022: INFORMS Optimization Society Conference 2022 The Westin Poinsett Greenville, SC, United States, March 13-15, 2022 |
Conference website | https://cecas.clemson.edu/informs-conference |
Submission link | https://easychair.org/conferences/?conf=ios2022 |
Conference program | https://easychair.org/smart-program/IOS2022/ |
Submission deadline | January 31, 2022 |
Dear colleagues,
We are excited to announce that the 2022 INFORMS Optimization Society Conference (IOS2022) will be held on March 13-15, 2022 in Greenville, SC. The Greenville, SC area is widely regarded as one of the top downtown areas in the country, and promises a wealth of entertainment options in a comfortable, safe, and beautiful locale. The conference will take place in Westin Poinsett, a historical hotel located at the heart of downtown Greenville, SC. The theme of IOS2022 is “Bridging Data and Decision Making”, which is inherited from IOS2020 (cancelled due to the onset of the COVID-19 pandemic).
Conference website: https://cecas.clemson.edu/informs-conference/
Abstract submission link: https://easychair.org/conferences/?conf=ios2022
Abstract submission deadline: January 31, 2022
Plenary Speakers:
- Cynthia Rudin (Duke)
- Pascal Van Hentenryck (Georgia Tech)
- Juan Pablo Vielma (Google)
- Andreas Waechter (Northwestern)
Organizing Committee:
- Yuyuan “Lance” Ouyang (Clemson University)
- Cole Smith (Syracuse University)
- Yongjia Song (Clemson University)
- Emily Tucker (Clemson University)
- Boshi Yang (Clemson University)
Fundraising:
- Jeff Kharoufeh (Clemson University)
Track Chairs:
- Computational Optimization
- Dimitri Papageorgiou (Exxon Mobil Research & Engineering)
- Discrete Optimization
- Merve Bodur (University of Toronto)
- Robert Hildebrand (Virginia Tech)
- Emerging Applications of Optimization
- Karmel S. Shehadeh (Lehigh University)
- Yiling Zhang (University of Minnesota)
- Global Optimization
- Georgina Hall (INSEAD)
- Emily Speakerman (University of Colorado Denver)
- Linear & Conic Optimization
- Somayeh Moazeni (Stevens Institute of Technology)
- Network Optimization
- Leonardo Lozano (University of Cincinnati)
- Jose Walteros (University of Buffalo)
- Nonlinear Optimization
- Albert Berahas (University of Michigan)
- Raghu Bollapragada (UT Austin)
- Optimization under Uncertainty
- Phebe Vayanos (University of Southern California)
- Weijun Xie (Virginia Tech)
- Optimization in Data Science
- Damek Davis (Cornell University)
- Rahul Mazumder (Massachusetts Institute of Technology)
Please contact with the track chairs if you are interested in organizing a session or contributing a presentation in a specific track. If you are unsure about which track to submit to, please submit it to track “General” on the Easychair system.
We look forward to meeting you at IOS 2022!