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Computational Modeling, Math Programming, & Artificial Intelligence
- Large-scale mixed-integer linear, nonlinear and bilevel programming
- Quantum computing for optimization and machine learning
- Deep learning, machine learning, and predictive analytics
- Complex adaptive systems and multi-agent systems
- Data-driven optimization, analytics and control
- Grey-box digital twins and hybrid analytics
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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
Recent Presentations
Machine Learning and Robust Optimization for Data-Driven Decision-Making (2017 CAST Webnair)
Resilience Analysis and Optimization for Process and Energy Systems (ESCAPE 2018 Plenary Lecture)
Multi-Scale Sustainability Analytics of Energy Systems (SDEWES 2018 Plenary Lecture)
Mixed-Integer Bilevel Linear Programming Theory and Algorithm (2017 Cornell CAM Seminar)
Life Cycle Analysis and Optimization of Bioenergy Pathways (CAPE Forum 2015 Keynote Lecture)