• Computational Modeling, Math Programming, & Artificial Intelligence

    • Large-scale mixed-integer linear and nonlinear programming
    • Deterministic global optimization theory and algorithms
    • Optimization under uncertainty and risk management
    • Complex adaptive systems and multi-agent systems
    • Statistical machine learning and big data analytics
    • Data-driven decision-making and optimization
  • Process, Energy and Environmental Systems Engineering (PEESE)

    • Life cycle energy, environmental, and economic systems analysis
    • Sustainable design of chemical processes and energy systems
    • Planning, scheduling and control for smart manufacturing
    • Industrial big data analytics and Internet of things
    • Digital agriculture, smart water and smart energy
    • Supply chain optimization and smart logistics



PEESE Review/Perspective Articles: