Summary
Chen Zhou is a Ph.D. candidate and graduate research assistant at Georgia Tech with eight years of experience applying machine and deep learning to image and video understanding, computational imaging, and geophysical data interpretation. He has partnered with industry teams—including Ford on pedestrian trajectory forecasting for autonomous vehicles and Shell and Occidental on subsurface interpretation—to translate research models into practical engineering value. Chen co-designed and co-instructed Georgia Tech’s Fundamentals of Machine Learning course, shaping curriculum and assessments that earned strong faculty and student recognition. He also interned at Oxy developing seq2seq models for time-series prediction to optimize hydrocarbon production, demonstrating an ability to move from foundational research to production-focused analytics. Based in Atlanta, Chen pairs rigorous academic training with hands-on collaboration across academia and industry, driven by a pragmatic, action-oriented approach.
8 years of coding experience
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Georgia Institute of Technology
Bachelor of Engineering - BE, Electrical Engineering, Bachelor of Engineering - BE, Electrical Engineering at University of Science and Technology Beijing
English, Chinese