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Mark Allan Hasegawa-Johnson

Profile picture for Mark Allan Hasegawa-Johnson

Contact Information

University of Illinois
2011 Beckman Institute, MC-251
405 N. Mathews Ave.
Urbana, Illinois 61801
USA
Professor of Electrical and Computer Engineering

Additional Campus Affiliations

Professor, Electrical and Computer Engineering
Professor, Speech and Hearing Science
Professor, Coordinated Science Lab
Professor, Beckman Institute for Advanced Science and Technology
Professor, Computer Science

Recent Publications

Islam, B., McElwain, N. L., Li, J., Davila, M. I., Hu, Y., Hu, K., Bodway, J. M., Dhekne, A., Roy Choudhury, R., & Hasegawa-Johnson, M. (2024). Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations. Sensors, 24(3), Article 901. https://doi.org/10.3390/s24030901

McElwain, N. L., Fisher, M. C., Nebeker, C., Bodway, J. M., Islam, B., & Hasegawa-Johnson, M. (2024). Evaluating Users' Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach. JMIR Human Factors, 11(1), Article e49316. https://doi.org/10.2196/49316

Azevedo, R. F. L., Garcia-Retamero, R., Morrow, D. G., Hasegawa-Johnson, M., & Gu, K. (2023). The influence of memory for and affective response to health messages on self-care behavioral intentions. Human Factors in Healthcare, 4, Article 100058. https://doi.org/10.1016/j.hfh.2023.100058

Chang, K. C., Hasegawa-Johnson, M., McElwain, N. L., & Islam, B. (2023). Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data. In 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023 (pp. 2370-2377). (2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPAASC58517.2023.10317201

Harvill, J., Yoon, H. S., Yoon, E., Hasegawa-Johnson, M., & Yoo, C. D. (2023). One-Shot Exemplification Modeling via Latent Sense Representations. In B. Can, M. Mozes, S. Cahyawijaya, N. Saphra, N. Kassner, S. Ravfogel, A. Ravichander, C. Zhao, I. Augenstein, A. Rogers, K. Cho, E. Grefenstette, & L. Voita (Eds.), ACL 2023 - 8th Workshop on Representation Learning for NLP, RepL4NLP 2023 - Proceedings of the Workshop (pp. 303-314). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).

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