{"title":"Muhammad Hussain","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDr. Muhammad Hussain\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eDr. Tieling Zhang\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eEngr. Uzma Nazir\u003c\/strong\u003e 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.\u003c\/p\u003e","products":[{"product_id":"hydrogen-pipeline-integrity-muhammad-hussain-ebook","title":"Hydrogen Pipeline Integrity","description":"\u003cp\u003eThis book serves as a comprehensive resource for professionals involved in the design, inspection, integrity, maintenance, and operation of hydrogen pipelines, addressing the unique challenges hydrogen presents compared to natural gas or other fuels. It covers the latest inspection technologies, risk assessment methodologies, and mitigation strategies to ensure the safety and efficiency of hydrogen pipelines.\u003c\/p\u003e","brand":"Muhammad Hussain","offers":[{"title":"Default Title","offer_id":53628146942279,"sku":"9789819556090","price":171.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/hydrogen-pipeline-integrity-ebook.webp?v=1775018157"},{"product_id":"big-data-analytics-in-energy-pipeline-integrity-management-muhammad-hussain-ebook","title":"Big Data Analytics in Energy Pipeline Integrity Management","description":"\u003cp class=\"MsoNormal\"\u003eChapter 1: Introduction.- Chapter 2: Fundamentals of Big Data Analytics in the Energy Sector.- Chapter 3: Data Collection Methods in Pipeline Integrity Management.- Chapter 4: Data Integration and Preprocessing Techniques.- Chapter 5: Literature Review.- Chapter 6: Using Big Data Analytics in PIMS.- Chapter 7: Data Quality Issues in Model Testing.- Chapter 8: Energy Pipeline Defect Growth Prediction Using Degradation Modelling.- Chapter 9: Predictive Maintenance and Pipeline Integrity.- Chapter 10: Machine Learning Applications in Pipeline Integrity Management.- Chapter 11: Risk Assessment and Big Data Analytics.- Chapter 12: Data Visualization and Reporting for Pipeline Integrity.\u003c\/p\u003e","brand":"Muhammad Hussain","offers":[{"title":"Default Title","offer_id":53653020672327,"sku":"9789819680191","price":171.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/big-data-analytics-in-energy-pipeline-integrity-ma-ebook-cover.webp?v=1775389731"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/muhammad-hussain-autor-kollektion.webp?v=1775018155","url":"https:\/\/www.cinebuch.de\/collections\/muhammad-hussain.oembed","provider":"CineBuch","version":"1.0","type":"link"}