Maryam Naghibolhosseini

Maryam Naghibolhosseini

Assistant Professor

  • Communicative Sciences & Disorders
(517) 884-2256


Dr. Naghibolhosseini is an Assistant Professor in the department of Communicative Sciences and Disorders and the director of Analysis of Voice and Hearing Laboratory (AVAH Lab). The research in AVAH lab is focused on studying voice production, speech acoustics, and auditory sound processing.

Dr. Naghibolhosseini is applying advanced image processing, machine learning, and statistical analysis techniques to investigate the vocal function and its underlying mechanisms in norm and disorder. She also employs computational mathematics to perform biomechanical modeling of voice production and human auditory system. Her research goal is to determine the relationships between the vocal mechanisms, the generated speech sounds, and the perceived voice quality to improve voice assessment and treatment procedures.

She received her BS and MS in Biomedical and Electrical Engineering. She obtained her PhD from the Department of Speech-Language-Hearing Sciences at the Graduate Center of the City University of New York.

She was the recipient of the 'ASHA Early Career Contributions in Research Award' in 2020, 'NIH NIDCD K01 Career Development Award' in 2019, Acoustical Society of America (ASA) Young Investigator Grant in 2018 by Women in Acoustics, and the 2017 Sataloff Young Investigator Award, co-sponsored by Elsevier and The Voice Foundation.

Read more about Dr. Naghibolhosseini's research in the AVAH Lab website.


Research and Teaching

Laryngeal Imaging, Voice Science, and Clinical Voice Assessment

Voice Biomechanics, Speech Perception, and Mathematical Modeling

Image Processing, Machine Learning, and Data Mining


Thematic Research Areas

Computational Communication

  • Dr. Naghibolhosseini was bestowed the ASHA Early Career Contributions in Research Award (ECCR) in 2020!
  • Dr. Naghibolhosseini received NIH NIDCD K01 Career Development Award for the amount of $700,000 to study the laryngeal mechanisms underlying dysphonia in connected speech using machine learning.
  • Dr. Naghibolhosseini received the Acoustical Society of America (ASA) Young Investigator Grant by Women in Acoustics. she was also invited to give a talk in the Recent Advances in Experimental, Computational, and Clinical Research in Voice Production in the 176th meeting of the Acoustical Society of America. Read about this research that was featured in the ASA news Here.
  • Dr. Naghibolhosseini was awarded the 2017 Sataloff Award for Young Investigators! Read the story Here.
Recent Publications
  • Suzuki, J. L., Kharazmi, E., Varghaei, P., Naghibolhosseini, M. & Zayernouri, M. (In Press) Anomalous nonlinear dynamics of fractional viscoelastic structures, The American Society of Mechanical Engineers (ASME) Journal of Computational and Nonlinear Dynamics.
  • Yousef, A. M., Deliyski, D. D., Zacharias, S. R. C., de Alarcon, A., Orlikoff, R. F. & Naghibolhosseini, M. (2021) A hybrid machine-learning-based method for analytic representation of the vocal fold edges during connected speech, Special Issue of the Journal of Applied Sciences: Computational Methods and Engineering Solutions to Voice II, 11(3), 1179.e1-1179.e15.
  • Yousef, A. M., Deliyski, D. D., Zacharias, S. R. C., de Alarcon, A., Orlikoff, R. F. & Naghibolhosseini, M. (2020). Spatial segmentation for laryngeal high-speed videoendoscopy in connected speech, Journal of Voice, [Epub ahead of print]. doi: 10.1016/j.jvoice.2020.10.017. (PMID: 33257208).
Contact Information

1026 Red Cedar Rd, Room 207
Oyer Building
Michigan State University
East Lansing, MI 48824