Dr Zhibao Mian

Post Nominals	SFHEA
Biography	Dr. Mian is currently serving as a lecturer in the School of Computer Science at the University of Hull. Prior to his return to Hull, he held the position of Associate Professor in the School of Computer Science at Northwest Normal University. Dr. Mian is actively seeking for highly motivated MSc (Research) and PhD students, for informal inquiries, please contact him at z.mian2@hull.ac.uk. Live PhD positions with SCHOLARSHIP: [1] SafeML-based Confidence Generation and Explainability for UAV-based Anomality Detection of Blades Surface in Offshore Wind Turbines, https://auracdt.hull.ac.uk/research-projects/safeml-based-confidence-generation-and-explainability/ [2] A Holistic Predictive Maintenance Framework for Offshore Wind Turbines Components, https://auracdt.hull.ac.uk/research-projects/a-holistic-predictive-maintenance-framework-for-offshore-wind-turbines-components/ [3] An RCM-based Intelligent Maintenance Framework for Offshore Wind Turbines, https://auracdt.hull.ac.uk/research-projects/an-rcm-based-intelligent-maintenance-framework-for-offshore-wind-turbines/ [4] The China Scholarship Council (CSC) PhD scholarship programme scheme, which provides funding to Chinese nationals for a range of PhD programmes. The scholarship enables talented Chinese students to undertake a PhD programme at the University of Hull, building on Hull’s strong relationship with China. Live PhD positions: [1] Integrating AIs into model-based intelligent maintenance: https://www.hull.ac.uk/study/postgraduate/research/phd/non-funded/integrating-ais-into-model-based-intelligent-maintenance [2] Dr. Mian welcome prospective PhD candidates to engage in discussions on additional interesting and relevant topics.
Research Interests	My research interests center on trustworthy and responsible AI, machine learning, large language models (LLMs), and the application of AI across various domains, including education (teaching, learning, and assessment), business, healthcare, economics and society. Recently, my primary focus has been on developing a trustworthiness assessment framework for the design, development, and deployment of AI-based systems. This work involves evaluating AI systems for bias, robustness, safety, fairness, explainability, ethical considerations, and related sociotechnical safety factors. I am also interested in integrating cutting-edge technologies such as AI, IoT, Big Data, Blockchain, and Digital Twins into the field of intelligent asset maintenance within the context of industry 4.0 and 5.0. Previously, I have conducted research in system safety analysis, reliability-centred maintenance (RCM), and intelligent maintenance. I remain keen on exploring the integration of AI and LLMs into model-driven engineering (MDE), model-based safety analysis, automated model transformations, and their validation and verification. Dr. Mian is actively looking for prospective Ph.D. students, for informal inquiries, please contact him at z.mian2@hull.ac.uk.
Teaching and Learning	441105 - Algorithms and Data Structures 500083 - Advanced Programming 500091 - Year Out in Industry/Commerce 551456 - Software Engineering Design Patterns 551462 - Design, Develop, Deploy 600091 - Honours Stage Project 700031 - The Modern Researcher 1: Essential Skills, Knowledge and Training 700099 - MSc Dissertation 700105 - Games Achitecture and Concurrency 700109 - Advanced Computational Science 700111 - Development Project 771952 - MSc AI Project (Online)
Scopus Author ID	55356479100
PhD Supervision Availability	Yes
PhD Topics	Live PhD positions with SCHOLARSHIP: [1] SafeML-based Confidence Generation and Explainability for UAV-based Anomality Detection of Blades Surface in Offshore Wind Turbines, https://auracdt.hull.ac.uk/research-projects/safeml-based-confidence-generation-and-explainability/ [2] A Holistic Predictive Maintenance Framework for Offshore Wind Turbines Components, https://auracdt.hull.ac.uk/research-projects/a-holistic-predictive-maintenance-framework-for-offshore-wind-turbines-components/ [3] An RCM-based Intelligent Maintenance Framework for Offshore Wind Turbines, https://auracdt.hull.ac.uk/research-projects/an-rcm-based-intelligent-maintenance-framework-for-offshore-wind-turbines/ [4] The China Scholarship Council (CSC) PhD scholarship programme scheme, which provides funding to Chinese nationals for a range of PhD programmes. The scholarship enables talented Chinese students to undertake a PhD programme at the University of Hull, building on Hull’s strong relationship with China. Live PhD positions: [1] Integrating AIs into model-based intelligent maintenance: https://www.hull.ac.uk/study/postgraduate/research/phd/non-funded/integrating-ais-into-model-based-intelligent-maintenance [2] Dr. Mian welcome prospective PhD candidates to engage in discussions on additional interesting and relevant topics.