Big Data Analytics in Energy Pipeline Integrity Management

Dr. Muhammad Hussain is a distinguished professional specializing in asset integrity, reliability engineering, and predictive analytics with a strong focus on hydrogen and energy pipelines system. His expertise includes artificial intelligence, asset integrity, pipeline management, corrosion management, and risk-based inspection for safe and efficient pipeline operations. Dr. Hussain has contributed extensively to research and industry advancements in plant and pipelines including hydrogen pipeline integrity, applying data-driven methodologies and machine learning to enhance reliability, risk management, and sustainability in energy infrastructure.

Dr. Tieling Zhang is currently serving as the Director of the Engineering Asset Management and Systems Engineering Research Group at the Faculty of Engineering and Information Sciences, University of Wollongong, Australia. His group has developed its capabilities to provide research and training in the areas of energy pipelines integrity management using big data analytics, railway asset management, system reliability and maintenance, supply chain management and optimization, condition-based maintenance and operation of wind turbines, rail track modeling, railway vibration and noise, risk assessment of railway systems, and battery health management.

Engr. Uzma Nazir is a Senior Integrity Engineer at AMCO Reliability Pty Ltd with expertise in pipeline integrity management, materials selection, and asset life extension. Her professional focus includes ensuring the reliability and safety of energy infrastructure through advanced inspection, risk assessment, and materials engineering practices. She has contributed to developing effective strategies for optimizing asset performance and extending the operational life of critical pipeline systems in the energy sector.