Research

My research is driven by the pursuit of innovative, practical, and ethical solutions to engineering challenges, with a focus on electromagnetic non-destructive testing (NDT) and the applications of artificial intelligence.

Research Interests

  • Pulsed Eddy Current (PEC) NDT – Development of advanced PEC probes, models, and signal processing techniques for defect detection, corrosion under insulation (CUI), and structural integrity assessment.

  • Deep Learning for Pavement Inspection – Application of computer vision and pixel-level segmentation for automated detection, classification, and characterization of pavement cracks, contributing to intelligent infrastructure maintenance.

  • Smart Sensing Systems – Integration of sensors, signal processing, and machine learning for industrial applications in automation, robotics, and materials inspection.

  • Islamic Perspectives on Engineering Ethics – Exploring ethical frameworks informed by the Islamic worldview in guiding the responsible development and deployment of emerging technologies.

Research Projects & Grants

I have led and contributed to numerous funded research projects under national and international grants, including:

  • Advanced NDE Methods (Fundamental Research Grant Scheme, Malaysia)

  • Pulsed Eddy Current for Corrosion under Insulation

  • Deep Learning Models for Pavement Crack Characterization

  • Hybrid Energy Harvesting and Smart Sensors

  • Ethics of AI and Engineering from an Islamic Perspective

Publications & Contributions

My work has been published in indexed journals and international conferences, covering both fundamental and applied research in NDT, deep learning, and engineering ethics. I have also co-authored book chapters and contributed to collaborative works on affective computing, signal processing, and intelligent manufacturing.

Supervision & Research Training

I actively supervise PhD and Master’s students in NDT, deep learning, and sensing systems. My postgraduate supervision has produced graduates who now contribute to academia, industry, and research globally.