The increasing use of wearable sensors allows the monitoring of individuals over long periods of time in non-ambulatory settings, providing new insights into diagnostic and therapeutic means. The large volume and variability of recordings from these sensors, their use in everyday life and beyond specialized places and the limited resources of appropriately trained people for the corresponding signal analysis underline the need of automatic ways to process them. My research focuses on addressing challenges in capturing, representing and analyzing the acquired signals, as well as interpreting them as a unified group and with respect to co-evolving behavioral markers and events. It has applications to psychophysiological well-being, personalized health, security, and human assistive agents.
- Ph.D. in Electrical Engineering, University of Southern California - (Los Angeles, California, United States) 2017
- M.S. in Electrical Engineering, University of Southern California - (Los Angeles, California, United States) 2012
- D.E. in Electrical and Computer Engineering, National Technical University of Athens - (Athens, Attiki, Greece) 2010
- Corner, G. W., Saxbe, D. E., Chaspari, T., Rasmussen, H. F., Perrone, L., Pettit, C., ... Margolin, G. (2019). Compassion in a heartbeat: Physiology during couplesâ€™ loss discussions. Journal of Social and Personal Relationships. 36(6), 1671-1694.
- Timmons, A. C., Han, S. C., Chaspari, T., Kim, Y., Pettit, C., Narayanan, S., & Margolin, G. (2019). Family-of-origin aggression, dating aggression, and physiological stress reactivity in daily life.. Physiology & Behavior. 206, 85-92.
- Goel, N., Chaspari, T., Mortazavi, B. J., Prioleau, T., Sabharwal, A., & Gutierrez-Osuna, R. (2018). Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals. 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). 00, 191-194.
- Nath, N. D., Chaspari, T., & Behzadan, A. H. (2018). Automated ergonomic risk monitoring using body-mounted sensors and machine learning. ADVANCED ENGINEERING INFORMATICS. 38, 514-526.
- Timmons, A. C., Baucom, B. R., Han, S. C., Perrone, L., Chaspari, T., Narayanan, S. S., & Margolin, G. (2017). New Frontiers in Ambulatory Assessment: Big Data Methods for Capturing Couplesâ€™ Emotions, Vocalizations, and Physiology in Daily Life. Social Psychological and Personality Science. 8(5), 552-563.
- Wang, Y. e., Wang, H., Zhang, X., Chaspari, T., Choe, Y., & Lu, M. i. (2019). An Attention-aware Bidirectional Multi-residual Recurrent Neural Network (Abmrnn): A Study about Better Short-term Text Classification. ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI. 00, 3582-3586.
- PeÃ±a, A., Nirjhar, E. H., Pachuilo, A., Chaspari, T., & Ragan, E. D. (2019). Detecting changes in user behavior to understand interaction provenance during visual data analysis. CEUR Workshop Proceedings. 2327, 58DYMMY.
- Kim, J., Yadav, M., Ahn, C. R., & Chaspari, T. (2019). Saliency Detection Analysis of Pedestrians' Physiological Responses to Assess Adverse Built Environment Features. 90-97.
- Yadav, M., Chaspari, T., Kim, J., & Ahn, C. R. (2018). Capturing and quantifying emotional distress in the built environment.
- Arora, P., & Chaspari, T. (2018). Exploring Siamese neural network architectures for preserving speaker identity in speech emotion classification. 15-18.
- USC WiSE Merit Award conferred by University of Southern California - (Los Angeles, California, United States) - 1 year award 2015
- WiSE Graduate Top-off Fellowship conferred by University of Southern California - (Los Angeles, California, United States) - 2 year award 2010