
Michael A. Brown
Associate Clinical Professor · Computational Dynamics
University of Illinois ChicagoAbout
Michael A. Brown is a Clinical Associate Professor in the Department of Mechanical and Industrial Engineering at the University of Illinois Chicago, leveraging over 30 years of technical and management experience spanning higher education and medical diagnostics industries. His career integrates engineering principles with clinical applications, focusing on medical device innovation and manufacturing systems.
His educational qualifications include:
- Ph.D. in Mechanical Engineering (Computational Dynamics) from the University of Illinois Chicago (1996)
- M.B.A. in Financial Economics and Operations Research from the University of Chicago (1981)
- M.S. in Mathematical Physics and Communication Engineering from the University of Illinois Chicago (1971)
- B.S. in Communication Engineering and Control Theory from the University of Illinois Chicago (1970)
Dr. Brown's research centers on Computational Dynamics and Biomechanics, with significant contributions to Product Design, Development, and Manufacturing for medical diagnostics. His expertise encompasses polymer-based medical devices for point-of-care testing, FDA quality system regulations, injection molding processes, and lean manufacturing methodologies. He has pioneered solutions in reagent processing systems including hollow fiber technologies, chromatography, and high-throughput manufacturing automation, bridging engineering rigor with clinical needs.
No scientific awards or honors were documented in the provided materials.
While Dr. Brown has led engineering teams in cost-reduction programs and served as a technical representative for regulatory compliance, the available information does not specify formal student advising relationships or research grant funding.
His industry experience includes leadership roles in developing rare reagent processing systems, static filtration solutions, and in-line molding automation assembly, with direct application to medical diagnostics manufacturing workflows.
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