Currently pursuing a Ph.D. at the Georgia Institute of Technology, focusing on using deep learning techniques for time series forecasting and high-dimensional data analysis, particularly in the context of predicting energy generation and demand within power systems.
Education
- Ph.D. (Expected 2029), Machine Learning, Georgia Institute of Technology, Advisor: Pascal Van Hentenryck
- B.S. (Graduated 2024), Industrial Engineering, Sharif University of Technology, Tehran, Iran
Background
Research Interests: Time series forecasting, high-dimensional time series analysis, with a focus on deep learning methodologies. Field of Specialization: Machine Learning. About: Dedicated to advancing applications in power systems, exploring innovative approaches to predict energy generation and demand.