Ir. Ts. Dr. Lokman Mohd Fadzil is a Senior Lecturer at National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia. He graduated from the University Of Wisconsin – Milwaukee, Wisconsin, United States Of America (USA) with Bachelor of Science (Engineering) in Electrical Engineering. His Intel Technology Sdn Bhd career includes Product Engineering, Product Integration, Business Analyst, Project Management, Test Analyst and Development Engineering roles at Folsom, California, USA, Penang and Kulim, Kedah facilities. During his professional tenure, he undertook Master of Science (Mechanical Engineering) with major in Manufacturing Engineering at Universiti Sains Malaysia.

He engaged a brief Universiti Teknologi MARA Pulau Pinang Department of Mechanical Engineering part-time lecturer career while he pursues PhD studies in Engineering Technology (Manufacturing) at Universiti Kuala Lumpur, Malaysia Italy Design Institute (MIDI), focusing on variability modelling using prediction equations and chaos theory for manufacturing process optimization. He has presented and published nine papers in international and national conferences, and two papers in Scopus-indexed Journal of Advanced Research in Dynamical & Control Systems.

He is a Professional Engineer (Ir.) With Practising Certificate (PEPC) with Board of Engineers Malaysia (BEM), a Professional Technologist (Ts.) with Malaysia Board of Technologists (MBOT) and a Certified HRDF Trainer (CIT) with Pembangunan Sumber Manusia Berhad (PSMB). He has extensive experience in semiconductor industry Sort/Test, Burn-in, Wafer Fab, Assembly and Finish Manufacturing, manufacturing best practices, and a long list of engineering and design tools. This includes work in end-to-end manufacturing automation, similar to Industrial Revolution 4.0, with Factory and Corporate Management, Research & Design, Product and Industrial Engineering, Production, Planning, Maintenance, Information Technology (IT) and Training from Malaysia, Philippines, China, Costa Rica, and the USA. He actively involves in conducting professional and motivational training, and technical consultancy services, and currently a member of USM Mechanical Engineering School Industry/Community Advisory Panel (ICAP). His current research interests include Manufacturing Intelligence and Optimization, Industrial Revolution 4.0 and Factory Of The Future.

Students Supervised