Research Team
Research at RAISE@UCR is structured around three core pillars: AI Foundations, AI Applications, and AI Education. The institute brings together distinguished faculty from across all UCR colleges and schools, each contributing unique expertise to advance the frontiers of Artificial Intelligence.
AI Foundations
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Machine Learning and Perception
Machine Learning
Thrust Lead: Vagelis Papalexakis (Computer Science and Engineering, BCOE)
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Robotics and Embodied AI
Robotics and Embodied AI
Thrust Lead: Konstantinos Karydis (Electrical and Computer Engineering, BCOE)
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Systems and Security
Systems and Security
Thrust Lead: Srikanth Krishnamurthy (Computer Science and Engineering, BCOE)
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Scientific Computing
Scientific Computing
Thrust Lead: Mark Alber (Mathematics, CNAS)
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Agriculture, Environmental, and Geospatial Sciences
Agriculture, Environmental, and Geospatial Sciences
Thrust Lead: Hoori Ajami (Environmental Sciences, CNAS)
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Physical Sciences
Physical Sciences
Thrust Lead: Chia-en Chang (Chemistry, CNAS)
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Bioinformatics and Biomedical Sciences
Bioinformatics and Biomedical Sciences
Thrust Lead: Monica Carson (Biomedical Sciences, SOM)
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Public Health
Public Health
Thrust Lead: Mario Sims (Social Medicine, Population and Public Health, SOM)
- Social Sciences
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Economics and Business
Economics and Business
Thrust Lead: Gloria Gonzalez-Rivera (Economics, CHASS)
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Education and Outreach
Education and Outreach
Thrust Lead: Mariam Salloum (Computer Science and Engineering, BCOE)
Social Sciences
Thrust Lead: Kevin Esterling (Political Science, CHASS)
Ian Ballard
Richard Carpiano
Michalis Faloutsos
Diogo Ferrari
Nicholas Napolio
Eric Schwitzgebel