Reza Marzban is originally from Melbourne, Australia, and is currently pursuing his Ph.D. in Electrical and Computer Engineering at Georgia Tech. He joined the Photonics Research Group (PRG) in January 2022. Prior to his time at Georgia Tech, Reza earned an M.Sc. in Electrical Engineering from Sharif University of Technology, where he focused on developing hybrid photonic neural networks.
Reza’s primary area of research lies in scientific machine learning, with a specific emphasis on inverse design for partial differential equation (PDE)-based problems. While his work prominently showcases AI-driven strategies in optical systems, these methodologies are broadly applicable to a range of scientific and engineering challenges. By leveraging techniques in inverse design and sensitivity analysis, Reza develops multifunctional optical components that have far-reaching implications, including imaging systems, environmental monitoring, telecommunications, and healthcare. Beyond his research, he is committed to mentorship, having guided numerous undergraduate and graduate projects in these cutting-edge domains. To learn more about Reza’s work, visit his personal website or connect with him on LinkedIn.
E-mail: mmarzban3@gatech.edu
LinkedIn: linkedin.com/in/mrezamarzban/
Website: Reza Marzban
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