Food, Energy and the Environment
Affiliated Faculty

Assistant Professor — CEMS; Deep Learning, Nanotechnology
Office
485 Amundson Hall
Phone
E-mail

Associate Professor, Department of Civil, Environmental, and Geo- Engineering
Office
162 Civil Engineering Building
Phone
E-mail

Assistant Professor — Chemistry; Environment/Climate/Energy, Materials Design, Computational Simulations of Physical Systems, Physical Sciences, Chemistry
E-mail

Research Faculty, Institute on the Environment; Environmental Decision Support Science, Data Visualization, Indigenous-centered Data Science, Science Usability, Data Accessibility
E-mail

Professor — CS&E; Genomics/Precision Medicine, Environment/Climate/Energy, Agriculture/Food/Water
E-mail

Professor — ECE; Power grids/Networks and Cyber Security, Computational Simulations of Physical Systems, Smart Cities/Transportation
E-mail


Researcher — CS&E; Environment/Climate/Energy, Agriculture/Food/Water, Computational Simulations of Physical Systems
E-mail

Professor, Director — ESCI; Geographic Information Systems (GIS), Database & Data Integration, Agriculture/Food/Water
E-mail

Assistant Professor — BBE; Environment/Climate/Energy, Agriculture/Food/Water
Office
207 BioAgEng Building
Phone
E-mail

Assistant Professor — MechE; Environment/Climate/Energy, Computational Simulations of Physical Systems, Simulation of reacting flows, Physical Sciences, Chemistry
E-mail

Assistant Professor — ChemE; Environment/Climate/Energy, Agriculture/Food/Water, Green Technologies, Power grids/Networks and Cyber Security, Smart Cities/Transportation
E-mail

CSE faculty are spurring innovations in the agricultural and environmental sciences by addressing key issues, such as sustainable farming techniques, crop surveillance, and green energy.
Labs and Research Groups
- Agricultural Robotics Lab
- Computational Reactive Flow & Energy Lab (CRFEL)
- Decision Discovery and Optimization Lab
- Fluid Mechanics Laboratory
- Goodpaster Research Group
- Minnesota Geological Survey
Selected Projects
- AI-CLIMATE (AI INSTITUTE FOR CLIMATE-LAND INTERACTIONS, MITIGATION, ADAPTATION, TRADEOFFS AND ECONOMY)
- Advancing Deep Learning to Monitor Global Change
- Building Communities to Harness the Data Revolution
- Harnessing the Data Revolution: Knowledge Guided Machine Learning, A Framework for Accelerating Scientific Discovery
- Innovations for Sustainable Food, Energy, And Water Supplies In Intensively Cultivated Regions
- NSF Expedition in Computing : Understanding Climate Change - A Data Driven Approach
- Removing plastic particle pollution from Minnesota water bodies
- Simulations of Air-Sea Boundary Layers at Submesoscale Fronts and Filaments