The 2023 INFORMS Annual Meeting will take place at the Phoenix Convention Center from October 15-18, 2023, providing a unique opportunity to connect with the INFORMS community and engage with experts in the field, with the theme of harnessing the data revolution, focusing on the role of Operations Research and Management Science (OR/MS) in addressing the challenges and opportunities presented by the increasing volume and complexity of data.

The meeting will bring together researchers, practitioners, and industry leaders to explore innovative methods for collecting, analyzing, and interpreting data. The event encourages participants to embrace the theme and consider the future of OR/MS in the context of data privacy, security, and ethics. The meeting will also emphasize visualizing and communicating data insights.

Pascal Van Hentenryck is scheduled to deliver talks during Plenaries and Keynotes sessions. He holds the A. Russell Chandler III Chair and is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He also serves as the director of the NSF AI Institute for Advances in Optimization (AI4OPT). His research focuses on machine learning, optimization, and privacy with applications in energy, manufacturing, mobility, and supply chains. Van Hentenryck is an INFORMS Fellow and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI).

To see all of the sessions AI4OPT members will participate in, click here.

To locate the AI4OPT Booth, click here.

AI4OPT Agenda at a Glance

Oct 15 – Sunday

Session SA75 - Optimization of Logistics Delivery Systems

• Title: Optimizing Truck Fleet Scheduling for Fuel Deliveries
• Authors: Vahid Eghbal Akhlaghi, Hongzhao Guan, Jason Lu, Pascal Van Hentenryck
• Time/Location: 8 AM - 9:15 AM; CC-ECC 208A

Session SB38 - Optimization Society's Award Session I

• Title: Khachiyan Prize: Renato Monteiro - A Journey Through Many Exciting Topics of Continuous Optimization
• Title: Farkas Prize: Alper Atamturk - Strengthening MIP Formulations of Hybrid Model Predictive Control
• Time/Location: 10:45 AM – Noon; CC-North 224A

Session SC42 - OR/AI: Integrating Operations Research with Artificial Intelligence

• Title: OR/AI: Integrating Operations Research with Artificial Intelligence
• Author: Ahmed Abbasi, University of Notre Dame, Notre Dame, IN
• Time/Location: 12:45 PM – 2 PM; CC-North 226A

Session SD81 - K-12 Education Outreach in a Post-COVID World

• Title: K-12 Education Outreach in a Post-COVID World
• Session Chair: Zihan Zhang, Georgia Tech, Atlanta, GA
• Panelists: Afrooz Jalilzadeh, Pascal Van Hentenryck, Mary Ogidigben, Paul Hand, Neil Desnoyers
• Time/Location: 2:15 PM - 3:30 PM; CC-West 212B

Session SE45 - Machine Learning and Optimization in Power Systems

• Title: Bucketized Active Sampling for Acopf Optimization Proxies

• Authors: Michael Klamkin, Georgia Tech, Atlanta, GA

• Time/Location: 4 PM - 5:15 PM; CC-North 227A

• Title: End-To-End Feasible Optimization Proxies for Large-Scale Economic Dispatch

• Authors: Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck

• Time/Location: 4 PM - 5:15 PM; CC-North 227A

• Title: Multiperiod Stochastic Security-Constrained Economic Dispatch: A Systematic Study

• Authors: Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck

• Time/Location: 4 PM - 5:15 PM; CC-North 227A

• Title: Online Risk Assessment with Optimization Proxies

• Authors: Mathieu Tanneau, Pascal Van Hentenryck

• Time/Location: 4 PM - 5:15 PM; CC-North 227A

Oct 16 – Monday

Session SE45 - On Bus Transportation System Planning

• Title: Bus Line Design for On-Demand Multimodal Transit Systems
• Authors: Anthony Trasatti, Beste Basciftci, Pascal Van Hentenryck
• Time/Location: 8 AM - 9:15 AM; CC-ECC 208A

Session MA16. Emerging Topics in Artificial Intelligence: Methods and Applications

• Title: Value-Oriented Loss Function Tuning for Timeseries Forecasting in Energy Markets
• Author: Ruben Smets, Jean-François Toubeau, Mihaly Dolanyi, Kenneth Bruninx, Erik Delarue
• Time/Location: 8 AM - 9:15 AM; CC-North 126B

Session MP01. Plenary Panel: Harnessing the Data Revolution in Supply Chains

• Title: Plenary Panel: Harnessing the Data Revolution in Supply Chains
• Panelists: Anne G. Robinson, Derrick Fournier, Pascal Van Hentenryck, Kelly Thomas, Feryal Erhun
• Time/Location: 9:45 AM - 10:35 AM; CC-North 301ABC

Session MB45 - Machine Learning for Discrete and Global Optimization 1

• Title: Optimization Proxies for Continuous and Discrete Optimization
• Author: Pascal Van Hentenryck
• Time/Location: 10:45 AM - 12:00 PM; CC-North 227A

Session MC40 - Advances in Optimization for Logistics Network Design

• Title: Optimization-Based Learning for Tactical Load Plan Modification in Trucking Service Networks
• Authors: Ritesh Ojha, Wenbo Chen, Hanyu Zhang, Reem Khir, Pascal Van Hentenryck, Alan Erera
• Time/Location: 12:45 PM - 2:00 PM; CC-North 225A

Session MC38. Data-driven Decision Making: Robustness, Learning, and Optimization

• Title: Bayesian Risk-Averse Q-Learning with Streaming Data
• Authors: Yuhao Wang, Enlu Zhou
• Time/Location: 12:45 PM - 2 PM; CC-North 224A

Session MD32 - Data-driven Operation of Emerging Mobility Systems

• Title: Data-Driven Distributionally Robust Vehicle Routing for Heterogeneous Heavy-Duty Trucks
• Author: Ruiting Wang
• Time/Location: 2:15 PM - 3:30 PM; CC-North 221B

Session ME18 - Optimizing Equitable Infrastructure Investment Decisions Under High Wildfire Risk Scenarios

• Title: Optimizing Equitable Infrastructure Investment Decisions Under High Wildfire Risk Scenarios
• Authors: Swati Gupta, Alyssa Kody, Daniel K. Molzahn, Ryan Piansky, Madeleine Pollack
• Time/Location: 4 PM - 5:15 PM; CC-North 127B

*(Disregard in pdf print out and refer to ME18) Session ME19 - Transforming Healthcare Using Artificial Intelligence

Session MK02 - Keynote: Network Flows and Minimum Cuts in Ranking, Clustering, Machine Learning, Imaging, and Diversity Problems

• Title: Network Flows and Minimum Cuts in Ranking, Clustering, Machine Learning, Imaging, and Diversity Problems
• Author: Dorit Simona Hochbaum
• Time/Location: 5:25 PM - 6:15 PM; CC-North 120A

Oct 17 – Tuesday

Session TA52 - Optimization and Machine Learning in Power Systems

• Title: Forecasting and Asset Bundling for Renewable Energy
• Authors: Hanyu Zhang, Mathieu Tanneau, Pascal Van Hentenryck
• Time/Location: 8 AM - 9:15 AM; CC-North 230

Session TB41 - Emerging Applications in Transportation and Logistics

• Title: Path-Based Formulations for the Design of On-Demand Multimodal Transit Systems with Latent Demand Awareness
• Authors: Hongzhao Guan, Beste Basciftci, Pascal Van Hentenryck
• Time/Location: 10:45 AM - 12:00 PM; CC-North 225B

Session TB16 - Fairness, Privacy, and Explainability in Machine Learning

• Title: Fairness, Privacy, and Explainability in Machine Learning
• Authors: Susan Athey, Jennifer Wortman Vaughan, Sendhil Mullainathan
• Time/Location: 10:45 AM - 12:00 PM; CC-North 221A

Session TD45 - Discrete and Global Optimization: Application Domains and Algorithms

• Title: Optimizing Vaccine Distribution with Uncertain Supply Chain
• Authors: Antoine Bérard, Pascal Van Hentenryck
• Time/Location: 12:45 PM - 2 PM; CC-North 230

Session TE32 - Operations Research and Machine Learning for Energy and Environmental Systems

• Title: Data-Driven Stochastic Optimization for Integrated Design of Power and Natural Gas Systems
• Authors: Ziang Wang, Hao Zhang, Panos M. Pardalos
• Time/Location: 2:15 PM - 3:30 PM; CC-North 221B

Session TF47 - Constraint Programming Models and Techniques

• Title: Constraint Programming for Robotic Task Planning and Control
• Authors: Julian Oes, Dario Bellicoso, Marco Hutter
• Time/Location: 4 PM - 5:15 PM; CC-North 226B

Please note that the titles, authors, and sessions are subject to change, so You can check the conference program or website for the most up-to-date information on the presentations and sessions, here.