About the Principal Investigator (PI):
LinkedIn | CV | Google Scholar
Mohsen Zayernouri is currently an Associate Professor of Mechanical Engineering & Statistics and Probability at Michigan State University (MSU). He joined MSU in Fall 2015, where he established and began to direct the Fractional Mathematics for Anomalous Transport and Hydromechanics (FMATH) group. Dr. Zayernouri obtained a second MSc. and a second Ph.D. in Applied Mathematics at Brown University under the mentorship of Prof. George Em Karniadakis in 2015. Prior to joining MSU, he was a postdoctoral research associate in the Division of Applied Mathematics at Brown University as well. However, even before Mother Nature bent his life pathway into this deeper academic direction, Dr. Zayernouri has been always a passionate mechanical engineer too! He acquired his first M.Sc. in Mechanical Engineering from Tehran Polytechnic, Iran, in 2006 and subsequently, he joined the University of Utah, where he acquired his first Ph.D. in Mechanical Engineering in 2010.His hobbies include performing music, calligraphy, reading, meditation, traveling, and hiking.
Dr. Zayernouri’s research and approach to computational fluids/solid mechanics in addition to data-driven anomalous transport/fluids/materials at MSU have been well received by the research community, also the US federal funding agencies. He has received to date the total $1.85M single-PI research awards/grants from US AFOSR YIP-1, US ARO YIP-2, US ARO MURI, US ARL Seed Grant, and NSF/DOE-AMPS Awards.
Current PhD Students
Arman Khoshnevis
I am a Fourth-year PhD candidate in Mechanical Engineering at Michigan State University. I have obtained M.Sc. and B.Sc. in Mechanical Engineering from Amirkabir University of Technology, Iran. I am currently working on developing Fractional Maxwell Models (FMM) for complex materials and performing Uncertainty Quantification (UQ) analysis on their experimental data.
Research Area: Uncertainty Quantification, Data-Driven Modeling, Fractional Modeling, Complex Material
Maruf Md Ikram
I am a Fourth-year PhD candidate in Mechanical Engineering at Michigan State University. I have obtained my B.Sc. in Mechanical Engineering from Bangladesh University of Engineering and Technology, Bangladesh. I am currently working on developing a computational model for mimicking the complex vibration of the human vocal folds.
Research Area: Fluids Mechanics, Machine Learning, Active Contour Modeling
Sardar Nafis Bin Ali
Sardar is currently pursuing a dual Ph.D. in Mechanical Engineering and Communicative Sciences and Disorders at Michigan State University, under the supervision of Dr. Mohsen Zayernouri and Dr. Maryam Naghibolhosseini. His research focuses on the mechanical modeling of vocal fold vibration, image processing, and deep learning. He is currently working on data-driven modeling of vocal fold vibration using a single mass-spring-damper system and segmenting various laryngeal tissues from high-speed videoendoscopy frames using convolutional neural networks and image segmentation techniques. Outside of research, he enjoys traveling, playing video games, and reading books.
Research Area: Fluids Mechanics, Machine Learning, Active Contour Modeling
Lab Alumni
Postdoctoral Research Associates
Dr. Jorge L. Suzuki
Dr. Vikram Dharodi
Dr. Hadi Salehi
Former PhD Students
Dr. Prakash K. C. (2026)
Dr. Ahmed M Yousef (2023)
Dr. Hadi Seyedi (2022)
Dr. Ali Akhavan-Safaei (2022)
Dr. Eduardo A. B. de Moraes (2022)
Dr. Jorge Suzuki (2021)
Dr. Mehdi Samiee (2021)
Dr. Yongtao Zhou (2019)
Dr. Ehsan Kharazmi (2018)
Visiting Students
Dr. Hadis Nouri
Zachary Kam
Zach Kam is from Bloomfield Hills Michigan with a bachelor’s in biology from Michigan State University. He currently is a second-year medical student at Michigan State University College of Osteopathic Medicine. Zach is interested in investigating how anatomic variation can be consequential to normal voice production and hearing capabilities.
Geil Schock
Geil is from Bloomfield Hills, Michigan. He is currently a third-year medical student at Michigan State University College of Osteopathic Medicine. He received his B.A. in Criminal Justice in 2021 from Michigan State University. Geil is interested in studying the physiologic and mechanical basis of hearing, speech production, and disorders. After medical school, Geil hopes to apply these concepts to improve clinical diagnosis and treatment outcomes.
Trent Henry
I am a Ph.D. student in the Department of Mechanical Engineering (ME) and Communicative Sciences and Disorders (CSD) under the supervision of Dr. Zayernouri and Dr. Naghibolhosseini. I received my B.A. in Psychology and Communicative Sciences and Disorders. Currently, I am using Machine Learning to study the kinematics of the vocal folds in normal and disordered participants.
Devon Horner
I am a First-year PhD student in Mechanical Engineering at Michigan State University. I have obtained my B.Sc. In Mechanical Engineering and B.S. in Mathematics from Arizona State University. I am currently working on Uncertainty Quantification (UQ) of experimental data. My research interests are Numerical Analysis, Uncertainty Quantification, and Control Systems
Santosh Chhetri
Former Undergraduate Students
Alysia E. Irwin
Sean Connelly
Songhao Li
Will Dixon
Anna Johnson
Anna is from New Lothrop, Michigan. She is attended Michigan State University in pursuit of an undergraduate degree in Communicative Sciences and Disorders with a minor in Health Promotion. Upon graduation, she plans to pursue a master's degree in speech-language pathology with the goal of becoming a medical speech-language pathologist. Her ultimate aspiration is to specialize in treating head and neck cancer patients, as she has always had a great interest in helping others.
Alexander Smith
Alexander was a junior undergraduate student in Mechanical Engineering at Michigan State University. He joined the FMATH group and explored different aspects of modeling and simulating the human vocal tract using Computational Fluid Dynamics. His research interests were Fluid Mechanics, Numerical Analysis and Turbulence Modeling.