Engineering Psychiatry Research Program

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OVERVIEW:  The Department of Psychiatry and its Mental Health Tech Center formed an initiative in Fall 2017 to increase research collaborations between psychiatry and engineering. Psychiatry Faculty have created projects that attempt to problem solve an unmet challenge in the clinic or in research. The goal is to address the topic through an engineering solution. Students who are interested in this program can review the list of available projects and their descriptions below. The Engineering Psychiatry Research Program (EPRP) is a quarterly unpaid research opportunity for ECE undergraduate and graduate students. Students can receive research credit for their participation via ECE 199/299. Students will have access to the tutors at the ECE Makerspace as well as Ph.D. students in Machine Learning and Data Science field.

TIME COMMITMENT: 10 hours weekly for 4 credits of ECE 199/299. 5 hours weekly for 2 credits of ECE 199/299.

BACKGROUND:  UCSD's Jacobs School of Engineering has world renowned faculty and resources in engineering, with several thousand students participating in several different courses at the undergraduate and graduate level.  As part of their coursework, these students could lend their talents to creating solutions to problems psychiatry faculty and trainees face in clinical care and in research.  Potential solutions might involve novel devices, diagnostic tools, software, new ways of analyzing data such as through machine learning, robotics, and many others.  It is our hope that, by linking students with identified problems and potential mentors in psychiatry, this effort will generate novel collaborations that could form the basis of new research projects, grant proposals, intellectual property and/or start up companies.  



APPLICATION DUE DATE: 4:30 PM, Fri. March 16th


Spring 2018 Timeline:

Wednesday, March 14th: Info Session, 4-5 PM at Jacobs Hall 2315

Friday, March 16th: Student application DUE

Tuesday, March 27th: Faculty decisions DUE

Tuesday & Wednesday, March 27-28: Students notified, students enroll in ECE 199/299 for Spring 2018





                                                                  PROJECT TITLE

Bagot, Kara

 1.   A Mobile Health Intervention for Adolescent Cannabis Use

Granholm, Eric

 1.  Automated voice recognition therapy and symptom ratings in schizophrenia

 2.  Smartphone pupil dilation measurement to detect Alzheimer's disease

Jenkins, Janis

 1.   Mobile Health Technology for Middle School Students

Marcotte, Thomas

 1.  Tracking eye movements during acute cannabis use

 2.  Detecting THC and other cannabinoids using non-invasive biosensors

McEwen, Sarah

 1.  Movement based cognitive training

 2.  Simultaneous exercise and memory training for MCI patients

Mishra, Jyoti

 1.  Performance evaluations of real-time processing system for electrophysiological and behavioral signals

Moore, Raeanne

 1.  Mobile intervention to optimize social engagements

 2.  Alexia for Cognitive Rehabilitation

Owens, Robert

 1.  Actigraphy in the Intensive Care Unit

 2.  Freshmen Sleep and Health (FRoSH) Study

Twamley, Elizabeth

 1.  CogSMART app