The AgAID Institute is a multi-disciplinary, collaborative effort involving faculty and scientists with expertise in a diverse range of areas in computer science, agriculture, and agricultural outreach.
The Institute members include Washington State University; Oregon State University; University of California, Merced; University of Virginia; Carnegie Mellon University; Heritage University; Wenatchee Valley College; and Kansas State University. Private sector partners include IBM Research and the start-up innov8.ag.
All Team Members
Co-PI
External Evaluator
Scientists & Staff
Broadening Participation
Education & Extension
Ethics
Artificial Intelligence
Labor Intelligence
Farm Operations Intelligence
Water Allocation Intelligence
Technology Adoption & Transfer
Abhijin Adiga
Biocomplexity Institute, University of Virginia
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
Water Allocation Intelligence
https://agaid.org/water-ai
Alan Fern
AgAID Co-PI & Associate Director (AI), Computer Science, Oregon State University
AI: Modeling Systems of Knowns and Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
https://agaid.org/ai
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Ananth Kalyanaraman
AgAID Lead PI & Institute Director, Computer Science, Washington State University
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
https://agaid.org/ai
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Education & Outreach
Anil Vullikanti
Biocomplexity Institute, University of Virginia
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
Bernardita Sallato-Carmona
Extension, Washington State University
Ag Extension & Workforce Development
Chad Kruger
CSANR/Wenatchee TFREC, Washington State University
Ag Extension & Workforce Development
Cindy Grimm
Mechanical Engineering, Oregon State University
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel
Claudio Stöckle
Biological Systems Engineering (Emeritus Faculty), Washington State University
Farm Intelligence
https://agaid.org/farm-intel
Heather Knight
Computer Science, Oregon State University
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel
Jake Schrader
Smart Farm Engineering Technician, Washington State University
Farm Operations Intelligence
Demo Farm Technician
Jana Doppa
Computer Science, Washington State University
AI: Modeling systems of Knowns & Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
https://agaid.org/ai
Jennifer Adam
Civil & Environmental Engineering, Washington State University
Water Allocation Intelligence
https://agaid.org/water-ai
Jennifer Troquille
Research Administrator and Fiscal Analyst 3, Washington State University
Jenny Bolivar-Medina
Extension, Washington State University
Ag Extension & Workforce Development
Jessica Black
Indigenous Health, Culture & the Environment, Heritage University
Ag Extension & Workforce Development
Jian-Qiao Sun
Engineering, University of California Merced
Labor Intelligence
https://agaid.org/labor-intel
Joe Davidson
Mechanical Engineering, Oregon State University
Labor Intelligence
https://agaid.org/labor-intel
AI: Interactive Human-AI Workflows
https:agaid.org/ai
John Abatzoglou
Management Complex Systems, University of California Merced
Water Allocation Intelligence
https://agaid.org/water-ai
Jonathan Yoder
Economics, Washington State University
Water Allocation Intelligence
https://agaid.org/water-ai
Josh Viers
AgAID Co-PI, Environmental Systems, University of California Merced
Water Allocation Intelligence
https://agaid.org/water-ai
Broadening Participation
Joshua Goldstein
Biocomplexity Institute, University of Virginia
AI: Modeling Systems of Knowns and Unknowns
https://agaid.org/ai
Josué MedellÍn-Azuara
Environmental Systems, University of California Merced
Water Allocation Intelligence
Broadening Participation
Kirti Rajagopalan
Biological Systems Engineering, Washington State University
Water Allocation Intelligence
AI: Modeling Systems of Knowns and Unknowns
https://agaid.org/ai
Lav Khot
AgAID Co-PI, Biological Systems Engineering, Washington State University
Farm Operations Intelligence
https://agaid.org/farm-intel
Ag Extension & Workforce Development
Lee Kalcsits
Horticulture, Washington State University
Farm Operations Intelligence
https://agaid.org/farm-intel
Leigh Bernacchi
CITRIS-Merced, University of California Merced
Broadening Participation
Ag Extension & Workforce Development
Madhav Marathe
Biocomplexity Institute, University of Virginia
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
Water Allocation Intelligence
https://agaid.org/water-ai
Manoj Karkee
Biological Systems Engineering/CPAAS, Washington State University
Labor Intelligence
https://agaid.org/labor-intel
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Margaret Burnett
AgAID Co-PI, Computer Science, Oregon State University
Labor Intelligence
https://agaid.org/labor-intel
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Markus Keller
Viticulture, Washington State University
Farm Intelligence
https://agaid.org/farm-intel
Maureen Bonnefin
AgAID Project Manager (Interim Emeritus), Office of Research, Washington State University
Mingliang Liu
Research Associate in Environmental Engineering, Washington State University
Paola Pesántez-Cabrera
Research Associate in Data Science, Washington State University
Farm Operations Intelligence
Frost Mitigation, Plant Water Stress
Prasad Tadepalli
Computer Science, Oregon State University
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
Education & Outreach
Farm Intelligence
https://agaid.org/farm-intel
Qin Zhang
AgAID Associate Director (AG), Biological Systems Engineering/CPAAS, Washington State University
Labor Intelligence
https://agaid.org/labor-intel
Raviv Raich
Computer Science, Oregon State University
AI: Multi-scale Decision Support
https://agaid.org/ai
Rebecca Hutchinson
Computer Science, Oregon State University
AI: Multi-scale Decision Support
https://agaid.org/ai
Reza Ehsani
Mechanical Engineering, University of California Merced
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel
Sai Ramaswamy
Engineering Technology, Wenatchee Valley College
Broadening Participation
Education & Outreach
Samarth Swarup
Biocomplexity Institute, University of Virginia
AI: Modeling systems of Knowns & Unknowns
https://agaid.org/ai
Water Allocation Intelligence
Sandhya Saisubramanian
Computer Science, Oregon State University
Labor Intelligence
Intelligent and Reliable Autonomous Systems (IRAS)
Sekharipuram S. Ravi
Biocomplexity Institute, University of Virginia
AI: Modeling systems of Knowns & Unknowns
https://agaid.org/ai
Sindhu Sankaran
Biological Systems Engineering, Washington State University
Education & Outreach
Sinisa Todorovic
Computer Science, Oregon State University
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel
Sonia Hall
Research Associate in Sustainable Agriculture, CSANR, Washington State University
Stefan Lee
Computer Science, Oregon State University
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel
Troy Peters
Biological Systems Engineering, Washington State University
Farm Intelligence
https://agaid.org/farm-intel
Ag Extension & Workforce Development
Weng-Keen Wong
Computer Science, Oregon State University
AI: Multi-scale Decision Support
https://agaid.org/ai
Education & Outreach
Wenzhen Yuan
Robotics Institute, Carnegie Mellon University
Labor Intelligence
https://agaid.org/labor-intel
Xiaoli Fern
Computer Science, Oregon State University
AI: Multi-scale Decision Support
https://agaid.org/ai
Education & Outreach
Yan Yan
Computer Science, Washington State University
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
https://agaid.org/ai
Campbell Watson
Senior Research Scientist—IBM Research
Water Allocation Intelligence
Self-supervised learning with geospatial climate data
Hendrik Hamann
Chief Scientist for Geoinformatics and IBM PAIRS Geoscope
Technology Adoption & Transfer
Marina Rakhlin
Strategic Partnerships Program Director for the Future of Climate - IBM
Technology Adoption & Transfer
