Shahrokh Shahi

Shahrokh Shahi is a Ph.D. student in Computer Science and Computational Science & Engineering at Georgia Tech, advised by Prof. Elizabeth Cherry. He also served as a postdoctoral researcher in the College of Computing. Currently, he works as a Research Scientist/Machine Learning Engineer at Google. His research focuses on developing deep learning algorithms for complex dynamical systems, with applications in sequence modeling, time series forecasting, and computer vision.

Education:

• Ph.D., Computer Science/Computational Science & Engineering, Georgia Tech (ongoing)
• M.Sc., Computational Science & Engineering, Georgia Tech
• M.Sc., Computer Science, Imperial College London (Distinction)
• M.Sc., Structural Engineering, University of Tehran
• B.Sc., Engineering, University of Tehran

Research Interests: Machine Learning, Deep Learning, Reservoir Computing, Data Visualization, and their applications in dynamical systems analysis. He has developed novel recurrent neural network architectures and convolutional echo state models for spatiotemporal data.

Labs & Affiliations: High Performance Computing Lab (University of Tehran), Georgia Tech’s College of Computing.