Dr. Muhammad Farooq Siddique completed his B.S. in Mechanical Engineering from NUST Islamabad in 2017 and his M.S. from UET Peshawar in 2021. He recently defended his Ph.D. in Artificial Intelligence and Computer Engineering at the University of Ulsan, South Korea, where he has served as a Graduate Research Assistant at the Ulsan Industrial Artificial Intelligence Laboratory since 2022. His research focuses on intelligent fault diagnosis, time-frequency signal processing, deep learning, and condition monitoring of industrial systems. He has authored more than 25 peer-reviewed papers with over 450 citations, earning Best Paper Awards at IHCI 2023 and FICTA 2025. Dr. Siddique has international presentation experience in Australia, the Netherlands, the UK, and Saudi Arabia. He also holds globally recognized health and safety management certifications, including NEBOSH, IOSH, and OSHA. He is a member of several professional societies and continues to work on AI-driven solutions for engineering, manufacturing, and industrial monitoring.