Faculty Experts

Related Articles

Popping in’ on the latest research

From brain com­puter inter­faces to gyro­scopes, the next gen­er­a­tion of health­care tech­nolo­gies have some­thing for everyone — and they’re being devel­oped in North­eastern labs.

Pop-Up Open Lab

Technology to improve health care

Northeastern’s new doc­toral pro­gram in per­sonal health infor­matics — the first of its kind in the nation — will pre­pare stu­dents for researching and devel­oping new tech­nolo­gies that can have a global impact on healthcare.

Personal Health Informatics

3Qs: Taking a patient-​​facing approach to health care

The United States spends $2 tril­lion in health care annu­ally. New tech­nolo­gies and approaches to health care have led to a growing field in health infor­matics, which has a focus on both the clin­ical and per­sonal aspects of the industry. We asked Tim­othy Bick­more, an asso­ciate pro­fessor in the Col­lege of Com­puter and Infor­ma­tion Sci­ence, to dis­cuss the impact this field can have on the health care industry as a whole, as well as Northeastern’s new PhD pro­gram in health informatics.

The future of health care: living rooms and wristbands

North­eastern assis­tant pro­fessor Matthew Goodwin com­bines both health and com­puter sci­ences to develop a better approach to diag­nosing and treating Autism Spec­trum Disorders.

Mathew Goodwin

Selected Publications

For a complete list of faculty citations, please visit iRis, Northeastern’s digital archive.

Article

A comparison of autonomic, behavioral, and parent-report measures of sensory sensitivity in young children with autism

(with Woodard, CR, Zelazo, PR, Aube, D, Scrimgeour, M, Ostholthoff, T, & Brickley, M) Research in Autism Spectrum Disorders, 6, 1234-1246.

Article

Harnessing repetitive behaviours to engage attention and learning in a novel therapy for autism: An exploratory analysis

(with Chen, GM, Yoder, KJ, Ganzel, BL, & Belmonte, MK) Frontiers in Educational Psychology, 3, 1-16.

Article

Detecting stereotypical motor movements in the classroom using accelerometry and pattern recognition algorithms

(with Albinali, F, & Intille, SS) Pervasive and Mobile Computing, 8, 103-114.

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