Matthew Goodwin
(he/him/his)
Professor, Interdisciplinary with Bouvé College of Health Sciences
Research interests
- Ambulatory psychophysiology
- Autism spectrum disorder
- Digital signal processing
- Machine learning
- Personal health informatics
Education
- Postdoctorate in Affective Computing, Massachusetts Institute of Technology
- PhD in Behavioral Science, University of Rhode Island
- MA in Experimental Psychology, University of Rhode Island
- BA in Psychology, Wheaton College
Biography
Matthew S. Goodwin is a professor in the Khoury College of Computer Sciences and the Bouvé College of Health Sciences at Northeastern University, based in Boston.
For more than 25 years, Goodwin has worked with children and adults on the autism spectrum to innovate, develop, and evaluate behavioral assessment and intervention technologies, including video and audio capture, telemetric physiological monitors, accelerometry sensors, and digital video/facial recognition systems. In doing so, he aims to enable the caregivers of people with autism to more capably and compassionately assist their loved ones, including by detecting signs of aggression before meltdowns occur.
The prolific and interdisciplinary nature of Goodwin’s research has made him a fixture of several Northeastern research circles. He co-founded a doctoral program in personal health informatics, directs the Computational Behavioral Science Lab, chairs the Bouvé Research Committee, and is a core faculty member of both the Institute for Experiential AI and the Institute for Experiential Robotics.
Goodwin previously held research or teaching roles at Harvard Medical School, Brown University, and the MIT Media Lab. He has served as a board member for Autism Speaks and the International Society for Autism Research, and as a faculty member of the Office of Behavioral and Social Science Research within the National Institutes of Health (NIH). Goodwin’s honors include the Matilda White Riley Early-Stage Investigator award from the NIH, the Simons Investigator honor from the Simons Foundation for Autism Initiative, and the Hariri Award for Transformative Computational Science.
Labs and groups
Recent publications
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Automated Assessment of Children’s Postoperative Pain Using Computer Vision
Citation: Sikka, K., Ahmed, A. A., Diaz, D., Goodwin, M. S., Craig, K. D., Bartlett, M. S., & Huang, J. S. (2015). Automated Assessment of Children’s Postoperative Pain Using Computer Vision. Pediatrics, peds-2015. -
A non-homogeneous poisson process model of Skin Conductance Responses integrated with observed regulatory behaviors for Autism intervention
Citation: Chaspari, T., Goodwin, M., Wilder-Smith, O., Gulsrud, A., Mucchetti, C., Kasari, C., & Narayanan, S. (2014, May). A non-homogeneous Poisson process model of skin conductance responses integrated with observed regulatory behaviors for Autism intervention. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on (pp. 1611-1615). IEEE. -
iCalm: Wearable Sensor and Network Architecture for Wirelessly Communicating and Logging Autonomic Activity
Citation: Fletcher R.R., Dobson K., Goodwin M.S., Eydgahi H., Wilder-Smith O., Fernholz D., Kuboyama Y., Hedman E., Poh M.-Z., Picard R.W. iCalm: wearable sensor and network architecture for wirelessly communicating and logging autonomic activity — IEEE Transactions on Information Technology in Biomedicine, 2010 14(2): 215‐223.
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Current PhD Students
Previous PhD Students
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Oliver Wilder-Smith
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Catalina Cumpanasoiu