Hi! I’m Cem (pronounced Jem - Turkish phonetics!), I’m currently a Computer Science Ph.D. Student at Stanford University at the Stanford Vision & Learning Lab.
At SVL, I’m working with Prof. Fei-Fei Li on iGibson, a simulation environment for training and evaluating embodied learning models. Our current research goals include the investigation and application of state-of-the-art computer vision and reinforcement learning models for establishing meaningful baselines on difficult household robotics tasks such as cooking, cleaning, and interactive navigation.
Previously, I was an AI Resident at Google X / Everyday Robots, and Software Engineer at Google on the YouTube Premium team. At X, I worked on improving learning-from-demonstrations methods to make robots better at performing everyday tasks. At YouTube, I worked on full-stack software projects including Python and C++ backends and iOS/Android/Web frontends, aiming to bring better benefits and higher value to the YouTube Premium subscription product.
Before Google, I completed my bachelor’s degree in Computer Science at Georgia Tech between 2016 and 2018, concentrating on Theoretical CS and AI. During this time, I spent some semesters in part-time and full-time roles as an Undergraduate Researcher and Senior Teaching Assistant.
My work as an undergraduate researcher, advised by Prof. Dana Randall, was on stochastic algorithms for self-organizing particle systems, an abstraction of programmable matter. My undergraduate thesis, titled Markov Chain Algorithms for Emergent Phenomena in Self-Organizing Particle Systems, is available here on Georgia Tech’s thesis database. Visit my Research Page for more information about our work and publications.