Research

• 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:

• Artificial intelligence (AI) for smart building energy control (Feb 2019)
• Carbon-neutral energy systems using Cornell campus as a living laboratory (June 2019)
• AI for smart irrigation systems in agricultural water management (July 2019)
• COVID-19 Dashboard for New York State (April 2020)
• Sustainability of tandem perovskite solar cells (July 2020)
• AI and machine learning for capturing and converting microplastics (October 2020)
• New York State’s 100% renewable energy transition planning (December 2020)
• Sustainable campus energy systems (April 2021)

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.