Dr Zhibao Mian

Dr Zhibao Mian

Lecturer

+44 (0)1482 462017 | Z.Mian2@hull.ac.uk

Faculty and Department

  • Faculty of Science and Engineering
  • School of Computer Science

Related groups

  • Computer Science

Qualifications

  • MSc (University of Nottingham)
  • PhD / DPhil (University of Hull)

Summary

Dr. Mian is currently working as a lecturer in the School of Computer Science. Before he returned to teach at Hull, he was an associate professor in the School of Computer Science at Northwest Normal University.

Dr. Mian is actively looking for potential Ph.D. 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/

Live PhD positions WITHOUT scholarship:

[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

441105 - Algorithms and Data Structures

500083 - Advanced Programming

551456 - Software Engineering Design Patterns

551462 - Design, Develop, Deploy

700105 - Games Achitecture and Concurrency

700109 - Advanced Computational Science

Recent outputs

View more outputs

Journal Article

Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach

Rajak, U., Chaurasiya, P. K., Verma, T. N., Dasore, A., Ağbulut, Ü., Meshram, K., …Mian, Z. (2024). Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach. Environmental science and pollution research, https://doi.org/10.1007/s11356-024-33210-3

Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization

Tian, Y., Wu, C., Tai, L., Mian, Z., & Tian, M. (2024). Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization. Statistical Analysis and Data Mining, 17(2), Article e11683. https://doi.org/10.1002/sam.11683

Computation Tree Logic Model Checking of Multi-Agent Systems Based on Fuzzy Epistemic Interpreted Systems

Li, X., Ma, Z., Mian, Z., Liu, Z., Huang, R., & He, N. (2024). Computation Tree Logic Model Checking of Multi-Agent Systems Based on Fuzzy Epistemic Interpreted Systems. Computers, Materials & Continua, 78(3), 4129-4152. https://doi.org/10.32604/cmc.2024.047168

Assessing the Impact of Usability from Evaluating Mobile Health Applications

Busari, A., Jaber, T., Gordon, N., & Mian, Z. (2024). Assessing the Impact of Usability from Evaluating Mobile Health Applications. International Journal on Engineering Technologies and Informatics, 5(2), https://doi.org/10.51626/ijeti.2024.05.00074

Tareq Al Jaber Neil Gordon

Application of Machine Learning Techniques for the Prediction of Heart Disease

Owodunni, A. A., Jaber, T., & Mian, Z. (2024). Application of Machine Learning Techniques for the Prediction of Heart Disease. Acta Scientific Computer Sciences, 6(3), 13-23

Tareq Al Jaber

Research interests

My research interests lie in the field of trustworthy AI, machine learning, system dependability analysis, reliability centred maintenance (RCM) and intelligent maintenance. I am also interested in model-driving engineering (MDE), automated model transformations and its validation and verification.

Most recently I have been interested in establishing trustworthiness assessment framwork for the design, development and deployment of AI-based systems. This involves the assessment of AI bias, robustness, safety, fairness, explainability, ethicality and etc.

I am also interested in integrating state-of-the-art AI, IoT, Big Data, Blockchain and Digital Twins into the model-based dependability analysis field to obtain an intelligent dependability analysis and maintenance of systems.

Dr. Mian is actively looking for potential Ph.D. students, for informal inquiries, please contact him at z.mian2@hull.ac.uk.

Lead investigator

Project

Funder

Grant

Started

Status

Project

Use of Foundational AI in teaching and assessment – A practical case study in software engineering education

Funder

Council of Professors and Heads of Computing (CPHC)

Grant

£4,980.00

Started

1 February 2024

Status

Ongoing

Postgraduate supervision

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/

Live PhD positions WITHOUT scholarship:

[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

Membership/Fellowship of professional body

Senior Fellow (Higher Education Academy)

2024

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