Abdul Munir Abdul Karim

A highly skilled mechanical engineer with over 11 years of experience in the power and oil & gas industries, complemented by 7 years in academia. Recently completed a PhD in Engineering, specializing in predictive maintenance and fault detection using advanced data analytics and deep learning techniques. Proven expertise in plant performance optimization, data-driven decision-making, and the development of AI-based solutions to enhance operational reliability. Experienced in mentoring, project management, and leading collaborative research initiatives. Seeking opportunities to leverage analytical skills and engineering expertise in data analysis, machine learning, and AI-driven applications for industrial innovation.

A highly experienced Mechanical Engineer with 11+ years in the power and oil & gas industries and 7+ years in academia. Currently Plant Performance Manager at Jimah O&M Sdn Bhd, specializing in performance optimization, fault analysis, and predictive maintenance using AI and machine learning. Former Senior Lecturer at Nilai University & APU, with expertise in engineering education, accreditation, and research. Past roles include Lead Field Operations Analyst at GE Oil & Gas and Performance & Project Engineer at Jimah O&M, managing turbomachinery inspections, plant performance analytics, and predictive maintenance strategies.

• PhD in Engineering (2024) – International Islamic University Malaysia (Specialized in deep learning for predictive maintenance)
• MEng in Mechanical Engineering (2005) – Imperial College London
• Professional Engineer (PEng, BEM) – Board of Engineers Malaysia
• Corporate Member (IEM) – Institution of Engineers Malaysia
• Second Grade Steam Engineer – Department of Occupational Safety & Health (DOSH) Malaysia