Originally from Columbia, MD, Mike received his B.S. Civil Engineering from Villanova University in 2009, where he also earned a business minor and was a member of the division I men’s lacrosse team. Upon graduation, he was employed at Bechtel Power Corporation performing structural steel design for the Ivanpah Solar Electric Generating System. After completion of Ivanpah’s design, Mike left to pursue his PhD in Civil Engineering, which he received from Vanderbilt University in 2015. At Vanderbilt, he studied under Dr. Caglar Oskay in the Multiscale Computation Mechanics Laboratory where his primary research focus was the failure prediction of laminated composites using reduced order multiscale homogenization. He joined the CMSC at Purdue in January 2016 and lives in West Lafayette, IN with his wife, Merissa, daughter, Mikayla, and son, Dawson. As director of the Composites Design Studio, Mike oversees four graduate students working on industry-driven composites design projects. The Design Studio implements the manufacturing-informed performance simulation approach for optimal composites design. Mike is also the principal investigator on a number of IACMI projects. He enjoys woodworking, lacrosse, cycling, and playing drums in the band at his church.
M. J. Bogdanor, and C. Oskay. “Prediction of progressive fatigue damage and failure behavior of IM7/977-3 composites using the reduced-order multiple space-time homogenization approach.” Journal of Composite Materials, Aug 26, 2016.
M. J. Bogdanor, and C. Oskay. “Prediction of Progressive Damage and Strength of IM7/977-3 Composites using the Eigendeformation Based Homogenization Approach: Static Loading.” Journal of Composite Materials, May 25, 2016.
M. J. Bogdanor, C. Oskay, and S. B. Clay, “Multiscale Modeling of Failure in Composites under Model Parameter Uncertainty,” Computational Mechanics, 56:389-404, 2015.
M. J. Bogdanor, S. Mahadevan and C. Oskay, “Uncertainty Quantiﬁcation in Damage Modeling of Heterogeneous Materials,” International Journal for Multiscale Computational Engineering, 11(3):289-307, 2013