khalil jahani

Khalil Jahani received his B.Sc. and M.Sc. degrees in Information Technology Engineering, specializing in Computer Networks, from the Iran University of Science and Technology (IUST) in Tehran, Iran, in 2012 and 2014, respectively. He completed his Ph.D. in Computer Science with a focus on Artificial Intelligence at the University of Tehran in 2025. In 2019, he obtained the AML CAT.B1 (Airframe & Powerplant) and AML CAT.B2 (Electric & Electronic) licenses from the Civil Aviation Organization (ICAO), Tehran, Iran.

With over two decades of experience in research and development, Khalil Jahani specializes in machine learning, artificial intelligence, signal processing, and computer vision. His expertise lies in algorithm design and development, particularly in deep learning and Federated Learning techniques. His work focuses on anomaly detection, condition monitoring, Prognostics and Health Management (PHM), and predictive maintenance. Throughout his career, he has applied his knowledge as a data scientist in industrial environments, contributing to the development of intelligent systems aimed at optimizing operational efficiency and predictive maintenance strategies.