Muhammad Farooq Siddique
Iām a Ph.D. candidate in AI and Computer Engineering at the University of Ulsan, South Korea, with a strong background in deep learning, signal processing, and intelligent fault diagnosis.
My research focuses on using time-frequency analysis, hybrid neural architectures, and sensor fusion for predictive maintenance and anomaly detection in industrial systems.
With over 25+ research publications and international conference presentations, I aim to contribute impactful AI-based solutions across engineering, manufacturing, and healthcare domains.
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