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Computational and Data Sciences
- Large-scale mixed-integer linear, nonlinear, and bilevel programming
- Quantum computing for optimization and machine learning
- Data-driven decision making and grey-box digital twins
- Learning-based control and automation
- Cyber-physical-biological systems
- Deep learning and generative AI
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Multi-Scale Process, Energy and Environmental Systems Engineering (PEESE)
- Decarbonization, climate-neutrality, and sustainable energy materials and systems
- Life cycle energy, environmental, and economic sustainability analytics
- Materials 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
Our recent research efforts are concentrated on AI for Sustainability (AI4S) and AI for Science (AI4Sci). See Collaborating for Sustainability featuring our research in energy systems, circular economy, sensors, decarbonization, and quantum computing.
Recent stories (past four years) by Cornell Chronicle on our research:
- Nov 2024: AI for sustainability visiting professorship program
- Sep 2024: AI for sustainability research and training initiative
- Sep 2024: AI for sustainable in-door food production
- Aug 2024: Offshore wind and green hydrogen energy systems
- May 2024: Mapping human uptake of microplastics
- Mar 2024: Decarbonization via crypto and green hydrogen
- Nov 2023: Bitcoin and renewable energy development
- Sep 2023: Climate impacts of remote and hybrid work
- Jul 2023: Renewable energy and climate impacts of NFTs
- Jun 2023: Battery manufacturing’s climate impacts
- Jun 2023: Climate impacts and mitigation of metaverse
- May 2023: Decarbonization of the pharmaceutical industry
- Apr 2023: Critical metals for transportation electrification and decarbonization
- Mar 2023: Solar panel manufacturing’s climate impacts
- Jan 2023: Elected AAAS Fellow
- Jan 2023: AI for advanced nanomedicine manufacturing
- Dec 2022: Sustainability of biodegradable medical gowns
- Oct 2022: Schmidt AI in Science Program at Cornell
- Sep 2022: Green and climate-friendly crypto mining
- Jun 2022: COVID-19 impacts on Cornell campus Scope 3 emissions
- Feb 2022: AI tool for New York’s transition to green power
- Jan 2022: Waste medical PPE processing/recycling
- Dec 2021: Climate change impacts of moving to online/hybrid meetings
- Nov 2021: EV battery second-life and recycling
- Sep 2021: Quantum computing and AI for smart power systems
- Sep 2021: Future plastics waste chemical recycling systems
- Jun 2021: Recycling of photovoltaic solar cells for sustainability
- Apr 2021: Sustainable campus energy systems
- Dec 2020: New York State’s 100% renewable energy transition planning
- Oct 2020: AI and machine learning for capturing and converting microplastics
- Jul 2020: Sustainability of tandem perovskite solar cells
- Apr 2020: COVID-19 Dashboard for New York State
- Jul 2019: AI for smart irrigation systems in agricultural water management
- Jun 2019: Carbon-neutral energy systems using Cornell campus as a living laboratory
- Feb 2019: Artificial intelligence (AI) for smart building energy control
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. Here are the lists of our papers in Nature and Science families of journals and review/perspective articles.
