Track-to-Track Association and Ambiguity Management in the Presence of Sensor Bias. - Dimitri J. Papageorgiou; Michael Holender (J. Adv. Inf. Fusion, 2011)

Fixed-Charge Transportation with Product Blending. - Dimitri J. Papageorgiou; Alejandro Toriello; George L. Nemhauser; Martin W. P. Savelsbergh (Transp. Sci., 2012)

Optimization in maritime inventory routing. - Dimitri J. Papageorgiou (2012)

Probabilistic Set Covering with Correlations. - Shabbir Ahmed 001; Dimitri J. Papageorgiou (Oper. Res., 2013)

MIRPLib - A library of maritime inventory routing problem instances: Survey, core model, and benchmark results. - Dimitri J. Papageorgiou; George L. Nemhauser; Joel S. Sokol; Myun-Seok Cheon; Ahmet B. Keha (Eur. J. Oper. Res., 2014)

Two-Stage Decomposition Algorithms for Single Product Maritime Inventory Routing. - Dimitri J. Papageorgiou; Ahmet B. Keha; George L. Nemhauser; Joel S. Sokol (INFORMS J. Comput., 2014)

Approximate Dynamic Programming for a Class of Long-Horizon Maritime Inventory Routing Problems. - Dimitri J. Papageorgiou; Myun-Seok Cheon; George L. Nemhauser; Joel Sokol (Transp. Sci., 2015)

An MILP-MINLP decomposition method for the global optimization of a source based model of the multiperiod blending problem. - Irene Lotero; Francisco Trespalacios; Ignacio E. Grossmann; Dimitri J. Papageorgiou; Myun-Seok Cheon (Comput. Chem. Eng., 2016)

Active Metric Learning for Supervised Classification. - Krishnan Kumaran; Dimitri J. Papageorgiou; Yutong Chang; Minhan Li; Martin Takác 001 (CoRR, 2018)

Pseudo basic steps: bound improvement guarantees from Lagrangian decomposition in convex disjunctive programming. - Dimitri J. Papageorgiou; Francisco Trespalacios (EURO J. Comput. Optim., 2018)

Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm. - Cristiana L. Lara; Dharik S. Mallapragada; Dimitri J. Papageorgiou; Aranya Venkatesh; Ignacio E. Grossmann (Eur. J. Oper. Res., 2018)

Tailoring parallel alternating criteria search for domain specific MIPs: Application to maritime inventory routing. - Lluís-Miquel Munguía; Shabbir Ahmed 001; David A. Bader; George L. Nemhauser; Yufen Shao; Dimitri J. Papageorgiou (Comput. Oper. Res., 2019)

Proactive and reactive scheduling of the steelmaking and continuous casting process through adaptive robust optimization. - Said Rahal; Zukui Li; Dimitri J. Papageorgiou (Comput. Chem. Eng., 2020)

Information-theoretic sensor planning for large-scale production surveillance via deep reinforcement learning. - Ashutosh Tewari; Kuang-Hung Liu; Dimitri J. Papageorgiou (Comput. Chem. Eng., 2020)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Simon Bowly; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; et al. (NeurIPS (Competition and Demos), 2021)

Active metric learning for supervised classification. - Krishnan Kumaran; Dimitri J. Papageorgiou; Martin Takác 001; Laurens Lueg; Nicolas V. Sahinidis (Comput. Chem. Eng., 2021)

Hybrid strategies using linear and piecewise-linear decision rules for multistage adaptive linear optimization. - Said Rahal; Dimitri J. Papageorgiou; Zukui Li (Eur. J. Oper. Res., 2021)

A note on semi-infinite program bounding methods. - Stuart M. Harwood; Dimitri J. Papageorgiou; Francisco Trespalacios (Optim. Lett., 2021)

Deep lifted decision rules for two-stage adaptive optimization problems. - Said Rahal; Zukui Li; Dimitri J. Papageorgiou (Comput. Chem. Eng., 2022)

Generation expansion planning with revenue adequacy constraints. - Cheng Guo 013; Merve Bodur; Dimitri J. Papageorgiou (Comput. Oper. Res., 2022)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; Andrea Lodi 001; et al. (CoRR, 2022)

Pooling problems under perfect and imperfect competition. - Dimitri J. Papageorgiou; Stuart M. Harwood; Francisco Trespalacios (Comput. Chem. Eng., 2023)

Data-driven distributionally robust optimization for long-term contract vs. spot allocation decisions: Application to electricity markets. - Dimitri J. Papageorgiou (Comput. Chem. Eng., 2023)

Maritime inventory routing: recent trends and future directions. - Kjetil Fagerholt; Lars Magnus Hvattum; Dimitri J. Papageorgiou; Sebastián Urrutia (Int. Trans. Oper. Res., 2023)

Identifying Key Drivers for a National Transition to Low Carbon Energy using Agent-based Supply Chain Models. - Vaiyaicheri S. Venkataramanan; Mohd Shahrukh; Dimitri J. Papageorgiou; Srinivasan Rajagopalan; Rajagopalan Srinivasan (Comput. Chem. Eng., 2024)

Equilibrium modeling and solution approaches inspired by nonconvex bilevel programming. - Stuart M. Harwood; Francisco Trespalacios; Dimitri J. Papageorgiou; Kevin C. Furman (Comput. Optim. Appl., 2024)

Decision rule-based method for multiparametric linear programming. - Said Rahal; Zukui Li; Dimitri J. Papageorgiou; Abdallah Alshammari (Comput. Chem. Eng., 2025)

Solution polishing via path relinking for continuous black-box optimization. - Dimitri J. Papageorgiou; Jan Kronqvist; Asha Ramanujam; James Kor; Youngdae Kim; Can Li (Optim. Lett., 2025)

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems. - Asha Ramanujam; Adam Elyoumi; Hao Chen; Sai Madhukiran Kompalli; Akshdeep Singh Ahluwalia; Shraman Pal; Dimitri J. Papageorgiou; Can Li (CoRR, 2025)