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 the Analysis of Voice and Hearing Laboratory (AVAH Lab). The research in AVAH lab is focused on studying the voice production mechanisms and human auditory system. 

Dr. Naghibolhosseini is applying advanced image processing, data mining 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 the voice production and the human auditory system. She aims to develop new methodologies for voice assessment using laryngeal imaging.

Dr. Naghibolhosseini received her BS and MS in Biomedical and Electrical Engineering. She obtained her PhD from the Department of Speech-Language-Hearing Sciences at Graduate Center of the City University of New York. She completed her Post-doctoral studies in the Voice and Speech Lab under the direction of Dr. Deliyski.

Dr. Naghibolhosseini was the recipient of the 2017 Sataloff Young Investigator Award, co-sponsored by Elsevier and The Voice Foundation. She also received the Provost’s Innovation Grant, Excellence in Teaching, and Excellence in Dissertation Writing awards during her PhD at the Graduate Center of the City University of New York.


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

  • The research paper titled "A Method for Analysis of the Vocal Fold Vibrations in Connected Speech Using Laryngeal Imaging" is presented at The 10th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications; MAVEBA 2017 (Authors: M Naghibolhosseini, DD Deliyski, SRC Zacharias, A de Alarcon, RF Orlikoff).
  • A research paper titled "Vocal Fold Segmentation in High-Speed Videoendoscopy of Connected Speech based on Active Contour Modeling" is presented at The 12th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research; AQL 2017 (Authors: M Naghibolhosseini, DD Deliyski, SRC Zacharias, A de Alarcon, RF Orlikoff).
  • Dr. Naghibolhosseini is awarded The 2017 Sataloff Award for Young Investigators!
Recent Publications
  • Naghibolhosseini, M. & Long, G. R. (2017). Fractional-Order Modeling and Simulation of Human Ear. International Journal of Computer Mathematics GCOM, dot:10.1080/00207160.2017.1404038
  • Naghibolhosseini, M., Deliyski, D. D., Zacharias, S. R. C., de Alarcon, A., & Orlikoff, R. F. (2017). Temporal Segmentation for Laryngeal High-Speed Videoendoscopy in Connected Speech, Journal of Voice, doi:10.1016/j.jvoice.2017.05.014
Contact Information

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