 Laurel Riek
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| Title(s) | Associate Professor, Computer Science and Engineering |
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| School | Academic Aff |
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| Phone | 8/8-22--5887 |
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| vCard | Download vCard |
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| Title(s) | Associate Adjunct Professor, Emergency Medical Services |
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 Overview Dr. Laurel Riek is an Associate Professor of Computer Science and Engineering at UC San Diego, and also has appointments in the Department of Emergency Medicine and Contextual Robotics Institute. Dr. Riek directs the Healthcare Robotics Lab, and is a roboticist with interests in human-robot teaming, computer vision, and healthcare engineering, and focuses on building systems able to sense, learn from, and adapt to people. Riek's current research projects have applications in acute care, neurorehabilitation, and home health.
Dr. Riek has received the NSF CAREER Award, AFOSR Young Investigator Award, Qualcomm Research Award, and was named one of ASEE's 20 Faculty Under 40. Riek's research has been supported by the NSF, AFOSR, DOE, and a number of companies and foundations. Prof. Riek currently serves on the editorial boards of ACM Transactions on Human Robot Interaction (THRI), IEEE Transactions on Robotics (T-RO), and is the 2020 HRI Technical Program Committee Co-Chair.
Dr. Riek served as a Senior Artificial Intelligence Engineer and Roboticist at The MITRE Corporation from 2000-2008, working on learning and vision systems for robots. From 2011-2016 Prof. Riek held the Clare Boothe Luce chair in Computer Science and Engineering at the University of Notre Dame. Prof. Riek received a Ph.D. in Computer Science from the University of Cambridge, and B.S. in Logic and Computation from Carnegie Mellon University.
ORNG Applications Bibliographic
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Home-Based Cognitively Assistive Robots: Maximizing Cognitive Functioning and Maintaining Independence in Older Adults Without Dementia. Clin Interv Aging. 2020; 15:1129-1139.
Van Patten R, Keller AV, Maye JE, Jeste DV, Depp C, Riek LD, Twamley EW. PMID: 32764900.
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All publications are at: http://cseweb.ucsd.edu/~lriek/publications.html.
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This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
To see the data as text, click here.
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