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
Water Allocation Intelligence
Farm Intelligence
Labor Intelligence
Artificial Intelligence
Education & Extension
Broadening Participation
Technology Adoption & Transfer
Ethics
Scientists & Staff
External Evaluator
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 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
Claudio Stöckle
Biological Systems Engineering, Washington State University
Farm Intelligence
https://agaid.org/farm-intel
David Brown
Crop & Soil Science, 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
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 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
Jia Yu
Computer Science, Washington State University
AI: Multi-scale Decision Support
https://agaid.org/ai
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
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
Kommy Weldemariam
AI and Climate Change, IBM Research
Water Allocation Intelligence
https://agaid.org/water-ai
Technology Adoption & Transfer
Lav Khot
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
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), Office of Research, Washington State University
Mingliang Liu
Research Associate in Environmental Engineering, Washington State University
Minsuk Kahng
Computer Science, Oregon State University
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel
Paola Gabriela Pesántez-Cabrera
Research Associate in Data Science, Washington State University
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
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