Research


  • Computational and Data Sciences

    • Large-scale mixed-integer linear, nonlinear and bilevel programming
    • Deep learning, machine learning, and predictive analytics
    • Quantum computing for optimization and machine learning
    • Learning-based and model-based control and automation
    • Data-driven decision making under uncertainty
    • Grey-box digital twins and hybrid analytics
  • Process, Energy and Environmental Systems Engineering (PEESE)

    • Decarbonization, carbon-neutrality, and sustainable design of energy systems
    • Life cycle energy, environmental, and economic systems analytics
    • Material informatics and computer-aided molecular design
    • Digital agriculture, smart energy and circular economy
    • Industrial big data analytics and Internet of things
    • 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, Quantum Computing, and 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.