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 for 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.
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
Events
Education
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.
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.
News
Alum Receives IEEE's Prestigious Sidney Fernbach Memorial Award
Harnessing AI to Advance Solar Cell Research
Leader in Edge AI Named National Academy of Inventors Fellow
Eye, Robot: Researchers Give Machines a New Perspective with Active Vision
Advancing Alzheimer Research with AI
Bridging Minds and Machines: Zhaodan Kong Designs Safer, More Successful Human-Tech Teams
Leadership
Are you doing unique or collaborative research in AI? Do you want to connect with one of our experts? Email us at coe-ai@ucdavis.edu.
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
- Chen-Nee Chuah, 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.
