Maryam Naghibolhosseini

Maryam Naghibolhosseini

Research Associate

  • Communicative Sciences & Disorders
(517) 884-2256


Dr. Naghibolhosseini is a postdoctoral research associate in the Voice and Speech Lab under the mentorship of Prof. Dimitar Deliyski. She received her BS and MS in Biomedical and Electrical Engineering. Dr. Naghibolhosseini joined MSU after obtaining her PhD from the Department of Speech-Language-Hearing Sciences at Graduate Center of the City University of New York under the advice of Prof. Glenis Long in 2015. The focus of her PhD research was on the mathematical modeling, numerical simulation, and experimental study (using otoacoustic emissions) of human ear.

In her current research, Dr. Naghibolhosseini is applying advanced image processing, machine learning and statistical analysis techniques to investigate the vocal function and its underlying mechanisms using laryngeal high-speed videoendoscopy. She aims to employ her engineering skills along with her scientific background to develop new methodologies for voice assessment using laryngeal imaging. Her goal is to develop protocols for clinical voice assessment utilizing high-speed videoendoscopy in connected speech.

Dr. Naghibolhosseini was the recipient of the 2017 Sataloff Young Investigator Award, co-sponsored by Elsevier and The Voice Foundation. She also received 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 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 B9
Oyer Building
Michigan State University
East Lansing, MI 48824