Dr. Alireza Afzal Aghaei

Areas of Expertise

Physics-Informed Machine Learning, Scientific Computing, Differential and Integral Equations, Neural Networks

Dr. Alireza Afzal Aghaei is a computer scientist and researcher specializing in the intersection of machine learning and mathematical computation. He earned his Ph.D. in Computer Science from Shahid Beheshti University with an outstanding academic record. His research is at the forefront of Scientific Machine Learning, specifically focused on developing innovative physics-informed machine learning and deep learning algorithms to solve complex differential and integral equations. As a prolific scholar, Dr. Afzal Aghaei has authored numerous high-impact papers in top-tier journals, including Neurocomputing, Neural Networks, Mathematics and Computers in Simulation, Engineering with Computers, Applied Soft Computing, and Engineering Analysis with Boundary Elements. Beyond his research publications, he is the author of the Persian-language textbook “A Practical Guide to Python for Data Science,” a vital resource for emerging data scientists and researchers. In addition to his academic contributions, he serves as the Principal Data Scientist at T1Solution, where he leads AI-driven medical diagnostic projects. He also holds an Iranian patent for an AI-based system for diagnosing corneal abnormalities.