The UC Davis College of Engineering is leading the way in foundational AI research as well as translational applications and AI education efforts.
The mission of the UC Davis AI Center in Engineering is to build transformative collaboration on AI efforts within the college, across the UC Davis campus, and with industry partners, policymakers and the community to leverage AI for the betterment of humanity and the planet.
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Research Areas
Our faculty experts are working to explore and enhance AI in 10 key research areas.
Click the research area titles below to meet our experts in these areas.
Foundations of AI | AI and Agriculture | AI and Climate | AI and Education | AI and Energy | AI and Health
AI and Mobility | AI and Robotics, Sensors & HCI | AI and Society | Hardware & Software Engineering for AI
Featured: ECS 011 — Artificial Intelligence for All
Comprehensive introduction to artificial intelligence (AI) and its multifaceted applications. Foundational understanding of modern AI to enable effective communication about its functions, recognition of its applications, and awareness of its core principles. Ethical and societal implications of AI.
Research Resources and Funding Opportunities
- UC Davis Artificial Intelligence (AI) Council
In May 2024, Chancellor Gary May convened a UC Davis AI Council with a charge “to work collaboratively to develop campus-based principles and a proposed governance structure to guide the appropriate use of Artificial Intelligence on our two campuses” consistent with the UC Responsible AI Principles as laid out in the UCOP Presidential Working Group Report, Responsible Artificial Intelligence.
- NSF Access (compute resources, storage resources, cloud resources, science getaways, etc.)
- ACCESS is a program established and funded by the U.S. National Science Foundation to help researchers and educators, with or without supporting grants, to utilize the nation’s advanced computing systems and services at no cost to you.
View information about the ACCESS program - NAIRR Pilot
- The NAIRR Pilot aims to connect U.S. researchers and educators to computational, data, and training resources needed to advance AI research and research that employs AI.
Learn about the NAIRR Pilot - "Data Science and AI" curated funding on Pivot
- Apply
- Laude Institute funding opportunities
Slingshots: fast, low-friction grants and hands-on support to computer scientists turning new research into startups or open source infrastructure
Moonshots: seed funding and multi-year labs to proven academic researchers using AI to take on species-level challenges.
Learn about these funding opportunities
Open calls for funding from Open Philanthropy Foundation
Interested faculty are encouraged to contact Jennifer Prahl ([email protected]) for assistance.
- Career development and transition funding
- Individual applications from undergraduate, postdoc and faculty are eligible as well as non-academics in the corporate sector. Applications are assessed on a rolling basis.
Apply - How to apply for funding
- Funding capacity-building projects aimed at addressing risks from advanced AI. Various deadlines.
Apply
Entrepreneurship and Innovation
CourseAssist AI
A customizable student-developed chatbot that is trained solely on a course's materials. To use, an instructor simply uploads things pertaining to the course, clicks a button to train the AI, and it's ready to use. Students are sent a link to their course's personalized chatbot.
Aizip
Based in Silicon Valley, Aizip is a leader in model design of AI for IoT (AIoT). With its breakthrough neural network architecture and proprietary automated design tools, Aizip has demonstrated a wide range of deep neural networks (DNN) with superior performance.
Decoding Dementia
Rewriting Macbeth: New UC Davis Game Uses AI to Teach Conflict De-Escalation
AI Suggests Simple Food Swaps to Make Meals Healthier and Cheaper
Making AI Make Sense: Rayan Mansoor’s Role in AI Literacy at UC Davis
New Visual Analysis Tool Calms the Climate Data Storm
From Game-Day Analytics to Rideshares, Student Coders Strengthen Campus
Leadership
Are you doing unique or collaborative research in AI? Do you want to connect with one of our experts? Email us at [email protected].
Dipak Ghosal, Acting Co-Director
Bucher Family Chair and Professor of Computer Science
Prem Chand Jain Family Presidential Chair for Innovation and Entrepreneurship
Faculty Advisory Board
- Shirley Ahn, Chemical Engineering
- Sharon Aviran, Biomedical Engineering
- Yubei Chen, Electrical and Computer Engineering
- Ian Davidson, Computer Science
- Mason Earles, Biological and Agricultural Engineering
- Vladimir Filkov, Computer Science
- Sanjay Joshi, Mechanical and Aerospace Engineering
- Marina Leite, Materials Science and Engineering
- Natarajan Sukumar (Suku), Civil and Enviornmental Engineering
- Junshan Zhang, Electrical and Computer Engineering
Engineering a better world calls for solutions of a different caliber, demanding innovation
across disciplines using a design-centric approach.
We employ and develop intelligent systems and automation, tools at the nano-and-micro- scales and engineering for all that will revolutionize energy systems, strengthen climate resilience, advance human health and transform mobility to bring a sustainable, healthier and more resilient world within reach.
