• Computational and Data Sciences

    • 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
  • Process, Energy and Environmental Systems Engineering (PEESE)

    • Life cycle energy, environmental, and economic systems analytics
    • Sustainable design of chemical processes and energy systems
    • Digital agriculture, smart energy and circular economy
    • Industrial big data analytics and Internet of things
    • Quantum systems engineering and architecture
    • Supply chain¬†optimization and smart logistics


See Collaborating for Sustainability featuring our research in artificial intelligence, energy systems, circular economy, sensors, and quantum computing.




Recent stories (past two years) by Cornell Chronicle on our research:

Additional details about our research on AI for Smart Control and Automation and on Sustainable PV Energy Materials, as well as various journal covers, are in the News section. There is also a feature story on Energy Systems Engineering.