Dr. Matthew Riley specializes in engineering design, computational mechanics and material design. His research has focused on the application of advanced design, optimization, and uncertainty quantification approaches to computational mechanics and material design problems. This includes the analysis of large-scale structures for fatigue and fracture. Dr. Riley͛s industry experience features being a research assistant at the Air Force Research Laboratory and Multidisciplinary Science & Technology Center, both located in Dayton, Ohio.
Academic Degrees
- PhD, Wright State University, 2011
- BS, Wright State University, 2007
Awards & Honors
- Outstanding Graduate Student, Wright State University Engineering Program, 2011
- Best Technical Presentation, AIAA Dayton-Cincinnati Aerospace Science Symposium, American Institute of Aeronautics and Astronautics, 2010
- Best Technical Presentation, Dayton Engineering Science Symposium, American Society of Mechanical Engineers, 2009
Publications & Presentations
- Riley, M. E., “Undergraduate Research—What Opportunities are Out There?”, University of Idaho Engineering Living Learning Community Lecture Series, 2015
- Riley, M. E., “Evidence-Based Quantification of Uncertainties Induced via Simulation-Based Modeling,” Reliability Engineering and System Safety, Vol. 133, 79-86, 2015
- Riley, M. E., “Preparation for the FE Examination—Dynamics,” University of Idaho FE Prep Symposium Series, 2015
- Riley, M. E. and Hagey, T., “Using FEA Simulations to Investigate the Gecko Adhesive System,” IBEST Science EXPO, 2014
- Riley, M.E. and Grandhi, R. V., “Quantification of Modeling-Induced Uncertainties in Simulation-Based Analyses,” AIAA Journal, American Institute of Aeronautics and Astronautics, Vol. 52, 195-202, 2014
- Riley, M. E., “Evidence-Based Quantification of Model-Form Uncertainties in Simulation-Based Analyses,” AIAA Structures, Structural Dynamics and Materials Conference, American Institute of Aeronautics and Astronautics, 2013
- Riley, M. E. and Eacker, C., “Optimization of Laminate Composites for the Prediction of Performance Metrics using Finite Element Simulations,” AIAA Structures, Structural Dynamics and Materials Conference, American Institute of Aeronautics and Astronautics, 2013
- Riley, M. E., “Evidence-Based Quantification of Model-Form Uncertainties in Simulation-Based Analyses,” Proceedings of the AIAA Structures, Structural Dynamics and Materials Conference, American Institute of Aeronautics and Astronautics, Vol. 54, 1,023-1,031, 2013
- Riley, M.E. and Grandhi, R. V., “Quantification of Model-Form and Predictive Uncertainty for Multi-Physics Simulations,” Journal of Computers and Structures, Vol. 89, 1,206-1,213, 2011
- Riley, M. E., Grandhi, R. V. and Kolonay, R. M., “Quantification of Modeling Uncertainty in Aeroelastic Analyses,” AIAA Journal of Aircraft, American Institute of Aeronautics and Astronautics, Vol. 48, 866-873, 2011
Research Experiences
- Risk-quantified design of composite materials
- Applied design optimization with a focus on heuristic algorithms
Teaching Interests
- Solid mechanics
- Design
- Materials
- Applied mathematical analysis