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Department of Electronics and Electrical Engineering

Dr Qian Zhang

Dr Qian Zhang

Telephone: 0151 231 2033

Biography

Dr Qian Zhang is a Senior Lecturer in Engineering Systems at the Department of Electronics and Electrical Engineering, Faculty of Engineering and Technology, Liverpool John Moores University. He received a PhD degree from the University of Sheffield and a BEng degree from Zhejiang University. Before joining LJMU, he has worked as a Lecturer in Control Engineering at the University of Kent and a postdoctoral researcher at the University of Sheffield. His research interests lie in the areas of robotics and control, data-driven modelling, multi-objective optimisation, and their applications in manufacturing and industrial problems. His research projects range across the fields of metal processing, autonomous systems and UAVs, rail industry and structural engineering.

Special Issue CFP: “Computational Intelligence in Data-Driven Modelling and Its Engineering Applications” in Mathematical Problems in Engineering https://www.hindawi.com/journals/mpe/si/402636/cfp/

Languages

English
Chinese (Mandarin)

Degrees

University of Sheffield, United Kingdom, PhD
Zhejiang University, China, BEng

Academic appointments

Senior Lecturer, Department of Electronics and Electrical Engineering, Liverpool John Moores University, 2016 - present
Lecturer, School of Engineering and Digital Arts, University of Kent, 2014 - 2016
Research Associate, Department of Civil and Structural Engineering, University of Sheffield, 2013 - 2014
Research Associate, Department of Automatic Control and Systems Engineering, University of Sheffield, 2010 - 2013

Publications

Highlighted publications

Datta S, Mahfouf M, Zhang Q, Chattopadhyay PP, Sultana N. 2016. Imprecise knowledge based design and development of titanium alloys for prosthetic applications JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS, 53 :350-365 >DOI >Link

Zhang Q, Mahfouf M, Panoutsos G, Beamish K, Liu X. 2015. Multiobjective optimal design of friction stir welding considering quality and cost issues SCIENCE AND TECHNOLOGY OF WELDING AND JOINING, 20 :607-615 >DOI >Link

Zhang Q, Mahfouf M. 2011. A hierarchical Mamdani-type fuzzy modelling approach with new training data selection and multi-objective optimisation mechanisms: A special application for the prediction of mechanical properties of alloy steels APPLIED SOFT COMPUTING, 11 :2419-2443 >DOI >Link

Zhang Q, Mahfouf M. 2010. A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 23 :660-675 >DOI >Link

Editorial/letter to the editor

Zhang Q, Spurgeon S, Xu L, Yu D. 2018. Computational Intelligence in Data-Driven Modelling and Its Engineering Applications MATHEMATICAL PROBLEMS IN ENGINEERING, >DOI >Link

Journal article

Spanogianopoulos S, Zhang Q, Spurgeon S. 2017. Fast Formation of Swarm of UAVs in Congested Urban Environment IFAC-PapersOnLine, 50 :8031-8036 >DOI >Link

Datta S, Mahfouf M, Zhang Q, Chattopadhyay PP, Sultana N. 2016. Imprecise knowledge based design and development of titanium alloys for prosthetic applications JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS, 53 :350-365 >DOI >Link

Zhang Q, Mahfouf M, Panoutsos G, Beamish K, Liu X. 2015. Multiobjective optimal design of friction stir welding considering quality and cost issues SCIENCE AND TECHNOLOGY OF WELDING AND JOINING, 20 :607-615 >DOI >Link

Datta S, Zhang Q, Sultana N, Mahfouf M. 2013. Optimal Design of Titanium Alloys for Prosthetic Applications Using a Multiobjective Evolutionary Algorithm MATERIALS AND MANUFACTURING PROCESSES, 28 :741-745 >DOI >Link

Zhang Q, Mahfouf M, Yates JR, Pinna C. 2012. Model fusion using fuzzy aggregation: Special applications to metal properties APPLIED SOFT COMPUTING, 12 :1678-1692 >DOI >Link

Zhang Q, Mahfouf M, Panoutsos G, Beamish K, Norris I. 2012. Knowledge discovery for friction stir welding via data driven approaches Part 1-correlation analyses of internal process variables and weld quality SCIENCE AND TECHNOLOGY OF WELDING AND JOINING, 17 :672-680 >DOI >Link

Zhang Q, Mahfouf M, Panoutsos G, Beamish K, Norris I. 2012. Knowledge discovery for friction stir welding via data driven approaches Part 2-multiobjective modelling using fuzzy rule based systems SCIENCE AND TECHNOLOGY OF WELDING AND JOINING, 17 :681-693 >DOI >Link

Zhang Q, Mahfouf M, Yates JR, Pinna C, Panoutsos G, Boumaiza S, Greene RJ, de Leon L. 2011. Modeling and Optimal Design of Machining-Induced Residual Stresses in Aluminium Alloys Using a Fast Hierarchical Multiobjective Optimization Algorithm MATERIALS AND MANUFACTURING PROCESSES, 26 :508-520 >DOI >Link

Zhang Q, Mahfouf M. 2011. A hierarchical Mamdani-type fuzzy modelling approach with new training data selection and multi-objective optimisation mechanisms: A special application for the prediction of mechanical properties of alloy steels APPLIED SOFT COMPUTING, 11 :2419-2443 >DOI >Link

Zhang Q, Mahfouf M. 2010. A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 23 :660-675 >DOI >Link

Zhang Q, Mahfouf M. 2008. Mamdani-Type Fuzzy Modelling via Hierarchical Clustering and Multi-Objective Particle Swarm Optimisation (FM-HCPSO) International Journal of Computational Intelligence Research, 4 :314-328

Liu X, Carre MJ, Zhang Q, Lu Z, Matcher SJ, Lewis R. Measuring Contact Area in a Sliding Human Finger-Pad Contact Skin Research and Technology, >DOI

Report

Zhang Q, Liu X, Spurgeon S. 2016. Development of Intelligent Predictive Models for Crowding - Final Feasibility Report Technical Report: Development of Intelligent Predictive Models for Crowding on Trains using Data-driven Methodologies :0-103 >Link

Conference publication

Zhang Q, Mahfouf M, Panoutsos G, Beamish K, Norris I. 2013. Systems Modelling of the Internal Process Variables for Friction Stir Welding Using Genetic Multi-Objective Fuzzy Rule-Based Systems DebRoy T, David SA, DuPont JN, Koseki T, Bhadeshia HK. TRENDS IN WELDING RESEARCH: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE, 9th International Conference on Trends in Welding Research :834-841 >Link

Gaffour S, Mahfouf M, Zhang Q. 2012. Robust nonlinear predictive controller design using Particle Swarm Optimisation (PSO): a case study in speed control of an experimental hot-rolling mill 1st International Conference on Electrical Engineering and Control Applications

Xu X, Banks S, Mahfouf M, Zhang Q. 2011. Simulations of Normal and Abnormal Grain Growth using Two-dimensional Stochastic Cellular Automata The European Congress and Exhibition on Advanced Materials and Processes

Zhang Q. 2011. Wavelet Analysis for Assessing Friction Stir Welding Quality for Aluminium AA5083 The European Congress and Exhibition on Advanced Materials and Processes

Yang YY, Mahfouf M, Panoutsos G, Zhang Q, Thornton S. 2011. Adaptive Neural-Fuzzy Inference System for Classification of Rail Quality Data with Bootstrapping-Based Over-Sampling IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), IEEE International Conference on Fuzzy Systems (FUZZ 2011) :2205-2212 >Link

Zhang Q, Mahfouf M. 2011. Fuzzy Modelling Using a New Compact Fuzzy System: A Special Application to the Prediction of the Mechanical Properties of Alloy Steels IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), IEEE International Conference on Fuzzy Systems (FUZZ 2011) :1041-1048 >Link

Zhang Q, Mahfouf M, Panoutsos G, Beamish K, Norris I. 2011. Multiple Characterisation Modelling of Friction Stir Welding Using a Genetic Multi-objective Data-driven Fuzzy Modelling Approach IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), IEEE International Conference on Fuzzy Systems (FUZZ 2011) :2288-2295 >Link

Yang YY, Mahfouf M, Zhang Q. 2011. Optimal Input Selection for Neural Fuzzy Modelling With Application to Charpy Energy Prediction IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), IEEE International Conference on Fuzzy Systems (FUZZ 2011) :2756-2762 >Link

Zhang Q, Mahfouf M, Yates JR, Pinna C, Panoutsos G, Boumaiza S, Greene RJ, De Leon L. 2011. Model fusion via a master fuzzy system with special application to engineering materials IFAC Proceedings Volumes (IFAC-PapersOnline), 18 :11732-11737 >DOI

Zhang G, Mahfouf M, Zhang Q, Gaffour SA, Yates J, Soberanis SA, Pinna C, Panoutsos G. 2011. Systems-modelling of compact tension energy in high strength pipeline steel IFAC Proceedings Volumes (IFAC-PapersOnline), 18 :12126-12131 >DOI

Panoutsos G, Mahfouf M, Zhang Q, Gaffour S. 2009. Input Weighted Data Granulation Using Hybrid Correlation Measures with Application to Metal Properties IFAC Proceedings Volumes (IFAC-PapersOnline), 2nd IFAC Workshop on Automation in Mining, Mineral and Metal Industry 23 :272-277 >DOI

Yang Y, Mahfouf M, Linkens DA, Zhang Q. 2009. Tensile Strength Prediction for Hot Rolled Steels by Bayesian Neural Network Model IFAC Proceedings Volumes (IFAC-PapersOnline), 2nd IFAC Workshop on Automation in Mining, Mineral and Metal Industry 23 :255-260 >DOI

Gaffour S, Mahfouf M, Yang Y, Gama M, Zhang Q. 2009. Real-time Implementation of New Nonlinear Neural Adaptive Generalized Predictive Speed Control for an Experimental Hot-Rolling Mill IFAC Proceedings Volumes (IFAC-PapersOnline), 2nd IFAC Workshop on Automation in Mining, Mineral and Metal Industry 23 :243-248 >DOI

Mahfouf M, Yang Y, Zhang Q. 2009. Modelling Charpy Impact Energy of Heat-treated-steel using Efficient Neural-networks and Genetic-algorithms IFAC Proceedings Volumes (IFAC-PapersOnline), 2nd IFAC Workshop on Automation in Mining, Mineral and Metal Industry 23 :237-242 >DOI

Zhang Q, Mahfouf M, de Leon L, Boumaiza S, Yates JR, Pinna C, Greene RJ. 2009. Prediction of Machining Induced Residual Stresses in Aluminium Alloys Using a Hierarchical Data-driven Fuzzy Modelling Approach IFAC Proceedings Volumes (IFAC-PapersOnline), 2nd IFAC Workshop on Automation in Mining, Mineral and Metal Industry 23 :231-236 >DOI

Mahfouf M, Yang Y, Zhang Q. 2009. Characterisation of Model Error for Charpy Impact Energy of Heat Treated Steels Using Probabilistic Reasoning and a Gaussian Mixture Model IFAC Proceedings Volumes (IFAC-PapersOnline), 2nd IFAC Workshop on Automation in Mining, Mineral and Metal Industry 23 :225-230 >DOI

Zhang Q, Mahfouf M. 2009. A Modified PSO with a Dynamically Varying Population and Its Application to the Multi-Objective Optimal Design of Alloy Steels 2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5, IEEE Congress on Evolutionary Computation :3241-3248 >DOI >Link

Zhang Q, Mahfouf M. 2007. A new Reduced Space Searching Algorithm (RSSA) and its application in optimal design of alloy steels 2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, IEEE Congress on Evolutionary Computation :1815-1822 >DOI >Link

Zhang Q, Mahfouf M. 2007. Fuzzy predictive modelling using hierarchical clustering and multi-objective optimisation for mechanical properties of alloy steels IFAC Proceedings Volumes (IFAC-PapersOnline), 12 :427-432

Zhang Q, Mahfouf M. 2006. A new structure for particle swarm optimization (nPSO) applicable to single objective and multiobjective problems 2006 3RD INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, 3rd IEEE International Conference on Intelligent Systems :173-178 >Link

Zhang Q, Mahfouf M. 2006. A new structure for Particle Swarm Optimization (nPSO) applicable to single objective and multiobjective problems IEEE Intelligent Systems, :176-181 >DOI

Mahfouf M, Chen MY, Zhang Q, Linkens DA. 2006. Adaptive weighted particle swarm multiobjective optimisation and societal reasoning for the design of alloy steels IFAC Proceedings Volumes (IFAC-PapersOnline), 1 :130-135

Zhang Q, Mahfouf M. 2005. Reduced Space Searching (RSS) Algorithm: a New Optimization Algorithm for Single-objective and Multi-objective Problems Proceedings of the 1st European Symposium on Nature-inspired Smart Information Systems, 1st European Symposium on Nature-inspired Smart Information Systems

Book

Zhang Q. 2010. Transparent Knowledge Discovery from Data 9783639307405

Other

Zhang Q. Development of Data-driven Fuzzy Models for Prediction of Crowding on Trains Transportation Research Part B: Methodological,

Engagement & Impact

Award:

Best Poster Prize of the 12th IMMPETUS Colloquium, IMMPETUS

Outstanding Reviewer of Applied Soft Computing, 2013 ~ 2015, Elsevier

Conference organisation:

8th Int. Conf. on Fuzzy Systems Knowledge Discovery (FSKD 2011), International Program Committee Member

6th Conf. on Natural Computation (ICNC 2010), International Program Committee Member

7th Conf. on Natural Computation (ICNC 2011), International Program Committee Member

10th Int. Conf. on Natural Computation (ICNC 2014), International Program Committee Member

Editorial boards:

Artificial Intelligence Research, Editorial Board Member

Artificial Intelligence and Applications, Editorial Board Member

International Journal of Control Science and Engineering, Editorial Board Member

Membership of professional bodies:

Member, RRUKA

Member, IEEE

Research Grants Awarded:

RSSB, Development of Intelligent Predictive Models for Crowding on Trains using Data-driven Methodologies, Grant value (£): £52,522

MoD Dstl, Multi-objective Optimal Motion Planning and Formation Control of Unmanned Aerial Vehicles in Complex Urban Environments, Grant value (£): £42,501