Summary
Reza Zandehshahvar is a research engineer and PhD candidate in ECE at Georgia Tech with a decade of experience applying machine learning and convex optimization to photonics, medical imaging, and nanostructure design. He blends academic rigor—mentoring large undergraduate teams and publishing research—with industry-facing work, including a Siemens Healthineers internship and collaborations with Emory School of Medicine on ML diagnostics for lung disease. Currently contributing to AI4OPT and Georgia Tech’s ISyE, he focuses on intelligent design and optimization workflows that accelerate discovery at the intersection of optics and data-driven modeling. Notably, his early work on robust loss functions for boosting informs pragmatic, robust ML toolkits used in both research and clinical contexts.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Electrical Engineering, Communication Systems, Master of Science - MS, Electrical Engineering, Communication Systems at Pahlavi University
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Georgia Institute of Technology
English, Persian