CEE doctoral candidate Alejandro Martinez to receive International Student Leadership Award

CEEatGT doctoral candidate and graduate research assistant Alejandro Martinez has been selected to receive an International Student Leadership Award.

The honor will be presented at the Up with White and Gold Ceremony on Monday April 21st, at 7 PM in the Georgia Tech Student Center Ballroom.

The Ceremony is coordinated by the Presidents’ Council Governing Board and the Georgia Tech Ambassadors. In addition, the Office of Student Involvement and the Georgia Tech Alumni Association support this amazing event recognizing the achievements of the campus community. More than 20 organizations and departments present awards to students, faculty, staff, and student organizations recognizing their contributions to campus life, involvement, and leadership.

A native of Mexico, Martinez expects to earn his doctorate in geotechnical engineering in the spring of 2015. His advisor is Dr. David Frost.

Last year, Martinez was elected president of the Georgia Tech chapter of the Geotechnical Society and has been recognized with other honors since coming to Georgia Tech, including the 2012 Master’s Tower Award, the James S. Lai Outstanding Master’s Student Award, and an academic scholarship from Anchor QEA, a Seattle-based environmental science and engineering firm that focuses on shoreline and river projects.

Martinez earned his undergraduate degree at the University of Texas. At Georgia Tech, his research focuses on the in-situ characterization of geomaterials, with an emphasis on developing new modules for the Cone Penetration Test (CPT).

“My research focuses on improving the ability to accurately and efficiently characterize the behavior of marginal soils. A series of modified modules for CPT exploit the opportunity for site characterization improvement by providing useful and high quality-information regarding the soil’s frictional, mechanical and hydraulic characteristics in a single sounding during field testing. Improving the design of maritime infrastructure will be possible by means of a new and robust capacity prediction model for deep foundations, a new modified module for CPT with improved sensing capabilities and the study of the behavior of these soils under dynamic loading."