Hamid Garmestani
Professor, School of Materials Science and Engineering

Hamid Garmestani is a professor in the School of Materials Science and Engineering at the Georgia Institute of Technology. He received his education from Cornell University (Ph.D. 1989 in Theoretical and Applied Mechanics) and the University of Florida (B.S. 1982 in Mechanical Engineering, M.S. 1984 in Materials Science and Engineering). After serving a year as a post-doctoral fellow at Yale University, he joined the Mechanical Engineering Department at Florida State University (FAMU-FSU College of Engineering) in 1990. 

Primary research and teaching interests include microstructure/property relationship in textured polycrystalline materials, composites, superplastic, magnetic and thin film layered structures. He uses phenomenological and statistical mechanics models in a computational framework to investigate microstructure and texture (micro-texture) evolution during processing and predict effective properties (mechanical, transport and magnetic). His present research interests are processing of fuel cell materials and modeling of their transport and mechanical properties.

Garmestani has been the recipient of a research award (FAR) through NASA in  1997. He received the Superstar in  Research award in 1999 by FSU-CRC.  He  has also been the recipient of the Engineering Research Award at the FAMU-FSU College of Engineering, Spring 2000. He is a member of the editorial board of the International Journal of Plasticity and board of reviewers for journal of Metal Transaction.  He is presently funded through NSF (MRD), NASA, Air Force and the Army.

hamid.garmestani@mse.gatech.edu
Phone
404.385.4495
Office
Love 361
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Materials Science Engineering
Additional Research

computational mechanics; micro and nanomechanics; Electrical charge storage and transport; Fuel Cells

IRI And Role
Manufacturing > Affiliated Faculty
Data Engineering and Science > Faculty
Matter and Systems > Affiliated Faculty
Manufacturing
Data Engineering and Science