Shahrzad Gholami
PhD Candidate in Computer Science
University of Southern California

Research Interest:
Machine Learning, Artificial Intelligence, Computational Game Theory.

Curriculum Vitae [CV]

M.Sc. in Computer Science, University of Southen California (2015-2017)
M.Sc. in Mechanical Engineering, Sharif University of Technology (2011-2013)
B.Sc. in Mechanical Engineering, Sharif University of Technology (2007-2011)

Short Bio:

I am a Ph.D. candidate in the Computer Science Department at the University of Southern California. I joined Teamcore research group in January 2015 and have been advised by Prof. Milind Tambe. My research interests include exploring areas of artificial intelligence, machine learning, and computational game theory. I am eager to conduct interdisciplinary research that aims to address real-world challenges. Along those lines, my research has been focused on developing reliable computational tools to assist decision makers to address global challenges in sustainability and security. I have been developing models and algorithms for the security games where adversarial behavior is presented by complex machine learning models, which are aware of the uncertainty in past attack data. I have conducted a large-scale field test evaluation of adversarial behavior models in the environmental sustainability domain, in particular, wildlife poaching. Before joining USC, I obtained my Bachelor's and Master's degree in Mechanical Engineering at the Sharif University of Technology, Iran.

Contact Information:
941 Bloom Walk, SAL 300, Los Angeles, CA 90089
Email: sgholami [at] usc [dot] edu