Ray S. Fertig III received BS (2001) and
MS (2003) degrees in Mechanical Engineering from the University of Wyoming and MS (2005) and PhD (2010)
degrees in Materials Science and Engineering from Cornell University. Fertig joined the Mechanical Engineering
Department in 2011. He is also a faculty participant in the interdisciplinary Materials Science and Engineering Program.
Hamid Sanei (PhD), Email: firstname.lastname@example.org
Hamid is from Mashhad, Iran. He earned his bachelor’s and master’s degrees at Azad and Ferdowsi University of Mashhad, respectively.
He started his Ph.D. at University of Wyoming in Spring 2012 and joined the group in Spring 2014. His research is focused on the reliability prediction
of fiber reinforced polymers. He is working on correlating the variability in microstructure to scattering of mechanical properties at macroscale.
To that end, he is creating a microstructural model with multiscale defects and isolating the effect of each defect to monitor their influences
on composite structural reliability. Modeling the real rather than the ideal, and random instead of deterministic microstructures, enables
simulation of random failures similar to those observed experimentally.
Siavash Sarrafan (PhD), Email: email@example.com
Siavash is from Mashhad, Iran. He joined the group in Spring 2013 and has his BS and MS in Mechanical Engineering from Ferdowsi University of Mashhad.
His research is focused on dislocation dynamics in thin films, specifically on developing a computationally efficient 2.5D methodology for studying
methods to tailor dislocation microstructures. This will lead to better understanding and control of dislocations thin films, which promises significantly
enhanced mechanical and electrical properties.
Faisal Bhuiyan (PhD), Email: firstname.lastname@example.org
Faisal is from Chittagong, Bangladesh. He has a B.Sc. in Mechanical Engineering from Bangladesh University of Engineering and Technology (BUET) and
joined the group in Fall 2014. He is working on the development of a physics-based methodology for reliability prediction of wind turbine blades.
The goal of the project is to develop a multiscale physics-based Monte Carlo structural simulation tool for predicting the distribution of failure
lifetimes in a wind turbine blade.
Kedar Malusare (MS), Email: email@example.com
Kedar is from Mumbai, India. He has a B.E in Mechanical Engineering from the University of
Mumbai and joined the Fertig Group in Fall 2012 and graduated in the Spring of 2014. He investigated the relationship between strain energy and volume average constituent stresses.
His research focused on developing computer simulations to study the variation of interaction energy (which arises due to stress inhomogeneity
in the composite) for a variety of different fiber configurations, load states, and constituent properties. Better understanding of interaction
energy will be used to augment the existing failure theories that use volume average quantities to better predict failure. Kedar is currently employed at
Eric Jensen (MS), Email: firstname.lastname@example.org
Eric is from Douglas, WY and has a B.S. in Mechanical
Engineering from the University of Wyoming.
His research focused on the creep and fatigue behavior of fiber reinforced polymers.
He extended a physics-based fatigue model to also predict creep behavior of composite laminates. In
conjunction with this effort he developed an optical strain measurement system to monitor strain distributions during
testing, particularly for long term creep tests. This will allow for future improvements to the creep/fatigue model
and permit robust model validation. Eric is currently employed at Allegion.