Background
Dr. Munsur Rahman received his M.S. and Ph.D. in Mechanical Engineering from the University of Missouri-Kansas City. He has extensive collaborative research experience in multiple areas of biomechanical and biomedical engineering both in academic and industrial environment settings. His research broadly focused on orthopedic biomechanics, computational modeling of the human musculoskeletal system, multibody dynamics, finite element analysis, orthopedic and cardiovascular medical device development, human movement, and medical image processing and computing.
Dr. Rahman’s doctoral studies on musculoskeletal elbow joint biomechanics created a foundation in the computational analysis-based orthopedic research, which has led to novel characterizations of joint kinematics and the development of the patient-specific surgical procedure. He has performed biomechanical analyses on human subjects, animal models, and tissue specimens during both live and cadaveric testing with biomedical instrumentation and used mathematical and computational models to characterize the results. He has also significantly contributed in developing world-class commercial knee implants and artificial lung devices. Dr. Rahman has published his research in several high-profile journals in the field of orthopedics and human movement and presented at numerous national/international conference proceedings.
Dr. Rahman’s primary areas of consulting expertise include vehicle accident reconstruction, injury potential/causation analyses, and medical device failures. As a forensic engineer, he performs injury assessments on cases involving low- and high-speed accidents, rollovers, pedestrian and cyclists, falling objects, head injury, slip/trip and falls, and occupational accidents by using both computer simulation and physical models.
Education and Certifications
- Engineering, Ph.D.: University of Missouri-Kansas City (2017)
- Primary discipline: Mechanical Engineering; Co-discipline: Mathematics
- Graduate courses: Biodynamics, Bioinstrumentation of Human Motion, Advanced Dynamics Modeling, Applied Finite Element Analysis, Experimental Design & Analysis, Advanced Statistics, Time Series Analysis
- Dissertation: “Musculoskeletal modeling of the human elbow joint”
- Mechanical Engineering, M.S.: University of Missouri-Kansas City (2013)
- Major: Mechanical Engineering; Minor: Biomechanics
- Graduate courses: Introduction to Biomechanics, Survey of Biomedical Engineering, Theory of Elasticity, Applied Statistical Analysis, Mathematical Methods in Science and Engineering, Advanced Numerical Analysis
- Thesis: “Development and validation of a computational multibody model of the human elbow joint.”
- Mechanical Engineering, B.S.: Bangladesh University of Engineering and Technology (2009)
- Thesis: “Finite element analysis of a three-dimensional elastic body made of functionally graded material.”
- Certified Accident Reconstructionist: Accreditation Commission for Traffic Accident Reconstruction (ACTAR #4184)
- Professional Engineer
- Bosch Certified Crash Data Retrieval Technician
Publications
- Peer-Reviewed Journal Articles
- Rahman, M., Cates, L., Kidist, B.M., Banks, H.T., Vaidya, N.K., “Mathematical modeling of the Zika virus transmission dynamics: disease characteristics and prevention.” Scientific Report, 2019.
- Rahman, M.; Sharifi Renani, M.; Cil, A.; Stylianou, A., “Musculoskeletal model development of the elbow joint with an experimental evaluation.” Bioengineering, 2018.
- Rahman, M., Cil, A., Stylianou, A., “Medial collateral ligament deficiency of the elbow joint: A computational approach.” Bioengineering 2018.
- Sharifi Renani, M., Rahman, M., Cil, A., Stylianou, A., “Calibrating multibody ulno-humeral joint cartilage using a validated finite element model.” Multibody system dynamics, 2018.
- Sharifi Renani, M., Rahman, M., Cil, A., Stylianou, A., “Ulna-humerus contact mechanics: Finite element analysis and experimental measurements using a tactile pressure sensor.” Medical Engineering and Physics, 2017.
- Rahman, M., Cil, A., Bogener, J.W., Stylianou, A., “Lateral collateral ligament deficiency of the elbow joint: A modeling approach.” Journal of Orthopaedic Research, 2016.
- Rahman, M., Cil, A., Stylianou, A., “Prediction of elbow joint contact mechanics in the multibody framework.” Medical Engineering and Physics, 2016.
- Rahman, M., Cil, A., Johnson, M., Lu, Y., Guess, T.M., “Development and validation of a computational multibody model of the elbow joint.” Advances in Biomechanics & Applications, 2014.