Jeffrey Cohn, Ph.D.

  • Professor, Psychology

Lab

Affect Analysis Group

Director, Principal Investigator: Jeffrey F. Cohn, Ph.D.

Location: 4322 Sennott Square

Graduate Student Advisees

  • Yaohan Ding (Intelligent Systems Program, U. Pitt)
  • Bhavan Jasani (Robotics, CMU)

Education & Training

  • PhD, University of Massachusetts

Research Interest Summary

Emotion; Social Interaction; Depression; OCD; Facial Expressions; Affect

Research Interests

 

Representative Publications

Cohn, J. F., & De la Torre, F. (2015). Automated face analysis for affective computing. In R. A. Calvo, S. K. D'Mello, J. Gratch & A. Kappas (Eds.), Handbook of affective computing (pp. 131-150). New York, NY: Oxford.

Cohn, J. F., Cummins, N., Epps, J., Goecke, R., Joshi, J., & Scherer, S. (In press). Multimodal assessment of depression and related disorders based on behavioral signals. In S. Oviatt, B. Schuller, P. Cohen, D. Sonntag, S. Brewster, A. Krueger & G. Potamianos (Eds.), Handbook of multimodal-multisensor interfaces. New York, NY: ACM.

Cohn, J. F., Jeni, L., Ertugrul, I. O., Malone, D. A., Okun, M., Borton, D., & Goodman, W. (2018). Automated multimodal measurement of behavioral response to deep brain stimulation in obsessive-compulsive disorder: A pilot study. Proceedings of the ACM International Conference on Multimodal Interfaces, pp. 1-5.

Dibeklioglu, H., Hammal, Z., & Cohn, J. F. (2018). Dynamic multimodal measurement of depression severity using deep autoencoding. IEEE Journal of Biomedical and Health Informatics, 22(2), 525-536.

Girard, J.M. & Cohn, J.F. (2016). A primer on observational measurement. Assessment, 23(4). 404-413

Projects

Deep Brain Stimulation for Depression Using Directional Current Steering and Individualized Network Targeting. National Institute of Neurological Disorders and Stroke.

Adaptive DBS in Non-Motor Neuropsychiatric Disorders: Regulating Limbic Circuit Imbalance. National Institute of Neurological Disorders and Stroke.

Automatic Multimodal Affect Detection for Research and Clinical Use. National Institute of Mental Health.

MAPS: Mobile Assessment for the Prediction of Suicide.

Collaborative Research: Dyadic Behavior Informatics for Psychotherapy Process and Outcome. National Science Foundation.

Extending a Large Multimodal Corpus of Spontaneous Behavior for Automated Emotion Analysis. National Science Foundation.

Craniofacial Microsomia: Facial Expression from Ages 1 to 3 Years. National Institute of Dental and Craniofacial Research.

Learning and Sensory-Based Engagement, Arousal, and Self-Efficacy Modeling for Adaptive Web-Empowerment Trauma Treatment. National Science Foundation.

Accepting Graduate Students

Yes

Program(s)

CV