Operations Research

Improving computational IE

  • Networking and Communications, Machine Learning, Cloud Computing, Smart Grids, Information and Coding Theory (Vaneet Aggarwal)

  • Digital manufacturing and supply chain resiliency; Industrial Internet of Things (Industry 4.0); Democratization of manufacturing; Implementing digital transformation (Stephan Biller)

  • Environmental implications of emerging technologies; Urban sustainability; Industrial ecology; Complex adaptive systems (Hua Cai)

  • Complex Systems; High-dimensional streaming data; Monitoring and diagnosis; Adaptive sampling; Probabilistic graphical models (Ana María Estrada Gomez)

  • Complex Systems; Graph Theory and Network Science; Information Theory; Neuroimaging and Brain Connectomics (Joaquín Goñi Cortes)

  • Queueing Theory, Applied Probability, Statistics and Game Theory (Harsha Honnappa)

  • Simulation optimization; simulation modeling and analysis; applied probability and statistics (Susan Hunter)

  • Decision-making under uncertainty, applied to climate change adaptation and environmental policy; Flood risk modeling; Sustainable agriculture; Environmental risk communication and decision support tools; Multi-criteria tradeoff analysis (David Johnson)

  • Quantitative methods for systems engineering Modeling and simulation methods for systems engineering Programmatic risk management and risk analysis Cost and schedule forecasting for technology development Bayesian methods Effectiveness of systems engineering management methods and processes (Charles Robert Kenley)

  • Logistics and transportation planning; supply chain analytics; system modeling and optimization; robust and stochastic optimization; machine learning for constrained optimization (Reem Khir)

  • Interactions of optimization, Game theory and Industrial organization, with applications to model and analyze energy markets and environmental policy (Andrew Liu)

  • Infrastructure sustainability and resilience; Disaster risk management; Climate change and extreme events; Risk and decision analysis; Statistical learning methods (Roshanak (Roshi) Nateghi)

  • Nonlinear optimization and its applications; Eigenvalue computation of large sparse matrices; Computational oncology; Soliton physics (Nagabhushana Prabhu)

  • Distributed and Large-scale Optimization; Computational Game Theory; Variational Inequalities; Machine Learning; Big Data Analytics; Applications in Communications, Networking, Signal Processing, and Sensor Networks (Gesualdo Scutari)

  • Control systems, machine learning, networks, energy, transportation, cyber-physical systems (Sivaranjani Seetharaman)

  • Production system modeling and analysis, queueing theory and applications, reliability and probability theory, scheduling and sequencing, simulation methodology, and stochastic processes and modeling. (J Shanthikumar)

  • Real-time Control of Smart Factory and Extended Enterprises via Digital-Twin; Modeling Human Decision-Making (Extended Belief-Desire-Intention Model); Multi-paradigm Simulations (agent, discrete event, system dynamics, virtual reality); Modeling and Control of Emerging Applications (Emergency Evacuation, Healthcare, UAV/UGV Coordination, Social Network) (Young-Jun Son)

  • Approximation algorithms; Automated design and inference; Computational science and engineering; Discrete optimization; Machine learning; Medical operations research; Network science (Mario Ventresca)