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Prof. Hui Yu, the leader of Visual Computing Group, University of Portsmouth, UK
Email Address: hui.yu@port.ac.uk
Webpage: http://www.yuhu.myweb.port.ac.uk/
Research interests: Vision, parallel vision; Visual computing and machine learning; 3D/4Dsensing, reconstruction and geometric processing; Human motion understandingand affective analysis
- Y. Xia, C. Nduka, R. Y. Kannan, E. Pescarini,J. E. Berner and H. Yu, “AFLFP: A Database With Annotated FacialLandmarks for Facial Palsy,” in IEEE Transactions onComputational Social Systems, 2022, doi: 10.1109/TCSS.2022.3187622.
- Wang, Y., Dong, X., Li, G. et al. CascadeRegression-Based Face Frontalization for Dynamic Facial ExpressionAnalysis. Cogn Comput 14, 1571–1584 (2022). https://doi.org/10.1007/s12559-021-09843-8
- Q. Cao, H. Yu and C. Nduka, “Perception of HeadMotion Effect on Emotional Facial Expression in Virtual Reality,” 2020 IEEE Conference on Virtual Reality and 3D User InterfacesAbstracts and Workshops (VRW), 2020, pp. 750-751, doi:10.1109/VRW50115.2020.00226.
Prof. Honghai Liu, Professor of Human Machine Systems, University of Portsmouth, UK
Email address: Honghai.Liu@port.ac.uk
Webpage: https://www.port.ac.uk/about-us/structure-and-governance/our-people/our-staff/honghai-liu
Research interests: motion sensing and understanding and its applications to human machine systems, particularly those approaches which could make contributions to the intelligent connection of perception to action with applications in exploring solutions to children with Autism Spectrum Disorder and stroke patients.
Dr. Hong Yue, Reader, Electronic and Electrical Engineering, University of Strathclyde, UK
Email Address: hong.yue@strath.ac.uk
Webpage: https://www.strath.ac.uk/staff/yuehongdr/
Research interests:
- Modelling and control of complex systems including chemical and biochemical engineering processes, biological systems, wind energy systems, robotic systems.
- Model-based systems analysis such as local and global sensitivity analysis, bifurcation analysis, uncertainty analysis mainly for biological and biochemical networks.
- Optimal and robust experimental design for data-based model calibration and validation.
- Taylor, P., Yue, H., Campos-Gaona, D., Anaya-Lara, O., & Jia, C. (2022). Wind farm array cable layout optimisation for complex offshore sites – a decomposition based heuristic approach. IET Renewable Power Generation, [12593]. https://doi.org/10.1049/rpg2.12593
- Bao, J., & Yue, H. (2022). Design and assessment of a LIDAR-based model predictive wind turbine control. Energies, 15(17), [6429]. https://doi.org/10.3390/en15176429
Dr. Jie Zhang, Reader, the School of Chemical Engineering and Advanced Materials, Newcastle University, UK
Email Address: jie.zhang@ncl.ac.uk
Webpage: https://www.ncl.ac.uk/engineering/staff/profile/jiezhang.html
Research interests:
Advanced Process Control, Neural Networks, Fuzzy Systems, Neuro-fuzzy Systems, Process Modelling, Process Fault Detection and Diagnosis, Process Monitoring, Batch Process Control, Optimisation, Optimal Control of Batch Processes, Genetic Algorithms, Intelligent Control Systems.
- Tahraoui H, Amrane A, Belhadj AE, Zhang J. Modeling the organic matter of water using the decision tree coupled with bootstrap aggregated and least-squares boosting. Environmental Technology & Innovation 2022, 27, 102419.
- Liu K, Zhang J. A Dual-Layer Attention-Based LSTM Network for Fed-batch Fermentation Process Modelling. In: 31st European Symposium on Computer Aided Process Engineering. Amsterdam: Elsevier B.V, 2021, pp.541-547.
Prof. Gui Yun Tian, professor of Sensor Technologies, Newcastle University, UK
Email address: g.y.tian@ncl.ac.uk
Webpage: https://www.ncl.ac.uk/engineering/staff/profile/gytian.html
Research interests:
Electromagneticsensors, sensor array and sensor network Electromagnetic Non-destructiveEvaluation Advanced signal processing Monitoring systems and applications
Dr. Xiandong Ma, Senior Lecturer, Engineering Department, Lancaster University, UK
Email Address: xiandong.ma@lancaster.ac.uk
Webpage: https://www.lancaster.ac.uk/engineering/about/people/xiandong-ma
Research interest:
the intelligent condition monitoring and fault diagnosis/prognosis of wind power systems with emphasis on analytical and experimental investigations, optimal operation and maintenance of offshore and marine renewable assets, smart grids with distributed generation technologies including wind and solar power, signal processing and data mining and computational intelligence, and electromagnetic NDT testing and imaging.
- Zhan, J, Wu, C, Yang, C, Miao, Q, Wang, S& Ma, X 2022, ‘Condition monitoring of wind turbines based on spatial-temporal feature aggregation networks’, Renewable Energy, vol. 200, pp. 751-766. https://doi.org/10.1016/j.renene.2022.09.102
- Cao, H, Bai, X, Ma, X, Yin, Q & Yang, X 2022, ‘Numerical Simulation of Icing on Nrel 5-MW Reference Offshore Wind Turbine Blades Under Different Icing Conditions’, China Ocean Engineering. https://doi.org/10.1007/s13344-022-0068-x
- Zhan, J, Wu, C, Yang, C, Miao, Q, Wang, S& Ma, X 2022, ‘Condition monitoring of wind turbines based on spatial-temporal feature aggregation networks’, Renewable Energy, vol. 200, pp. 751-766. https://doi.org/10.1016/j.renene.2022.09.102
Dr. Min Xia, Lecturer in Advanced Manufacturing, Lancaster University, UK
Email address: m.xia3@lancaster.ac.uk
Webpage: https://www.lancaster.ac.uk/engineering/about/people/min-xia
- Ding, X., Hou, X., Xia, M., Ismail, Y., & Ye, J.(2022). Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN). Composite Structures, 302, [116248]. https://doi.org/10.1016/j.compstruct.2022.116248
- Liu, J., He, Y., Xia, M., & Hu, Y. (2022). Ultrahigh strain rate-activated superplastic forming of aluminum and gold nanometals. Materials and Design, 221, [110910]. https://doi.org/10.1016/j.matdes.2022.110910
Prof. Chenguang Yang, Professor of Robotics, University of the West of England, UK
Email Address: Charlie.Yang@uwe.ac.uk
Webpage: https://people.uwe.ac.uk/Person/CharlieYang
- Zhang, J.,Jin, L., Wang, Y., & Yang, C. (in press). A collaboration scheme forcontrolling multimanipulator system: A game-theoretic perspective. IEEE/ASME Transactions on Mechatronics, https://doi.org/10.1109/TMECH.2022.3193136.
- Lu, Z., Wang, N., Li, M., & Yang, C. (2022). A noveldynamic movement primitives-based skill learning and transfer framework formulti-tool use, https://doi.org/10.1109/ICCA54724.2022.9831826.
Prof. Quanmin Zhu, Professor in Control Systems, University of West England, UK
Email Address: Quan.Zhu@uwe.ac.uk
Webpage: https://people.uwe.ac.uk/Person/QuanZhu
- Zhu, Q., Mobayen, S., Nemati, H., Zhang, J., & Wei, W. (in press). A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation. Journal of Vibration and Control, https://doi.org/10.1177/10775463211064010.
- Zhu, Q. (2021). Complete model-free siding mode control (CMFSMC). Scientific Reports, 11(1), https://doi.org/10.1038/s41598-021-01871-6.
Prof. Zhijie Xu, Director of Centre for Visual and Immersive Computing(CVIC), University of Huddersfield, UK
Email Address: z.xu@hud.ac.uk
Webpage: https://pure.hud.ac.uk/en/persons/zhijie-xu
Research interests: Imaging, vision, and visualisation, Virtual and Augmented Reality, Simulation and systems control, Web technology and applications.
- Li, B., Xu, Z., Gao, F., Cao, Y., & Dong, Q. (2022). 3D Reconstruction of High Reflective Welding Surface Based on Binocular Structured Light Stereo Vision. Machines, 10(2), [159]. https://doi.org/10.3390/machines10020159
- Zhan, Y., Xu, Y., Zhang, C., Xu, Z., & Guo, B. (2022). An Irregularly Dropped Garbage Detection Method Based on Improved YOLOv5s. In SSPS 2022: Proceedings of the 4th International Symposium on Signal Processing Systems (pp. 7-13). (ACM International Conference Proceeding Series; Vol. Par F180473). Association for Computing Machinery (ACM). https://doi.org/10.1145/3532342.3532344
Prof. Fengshou, Gu, Centre for Efficiency and Performance Engineering, University of Huddersfield, UK
Email address: f.gu@hud.ac.uk
Webpage: https://pure.hud.ac.uk/en/persons/fengshou-gu
Research interests: Vibroacoustics, Electrical signature, Thermal imaging, Modelling and analysis, Intelligent computing
- He, Y., Wang, G., Gu, F., & Ball, A. D. (2022). A Bayesian Probabilistic Score Matrix Based Collaborative Filtering Recommendation System for Rolling Bearing Fault Identification. In H. Zhang, G. Feng, H. Wang, F. Gu, & J. K. Sinha (Eds.), Proceedings of IncoME-VI and TEPEN 2021: Performance Engineering and Maintenance Engineering (Vol. 117, pp. 569-581). (Mechanisms and Machine Science; Vol. 117). Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_46
- Tang, W., Deng, R., Huang, B., Gu, F., & Ball, A. D. (2022). A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location. In H. Zhang, G. Feng, H. Wang, F. Gu, & J. K. Sinha (Eds.), Proceedings of IncoME-VI and TEPEN 2021: Performance Engineering and Maintenance Engineering (Vol. 117, pp. 853-866). (Mechanisms and Machine Science; Vol. 117). Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_69
Prof. Zhongyu(Joan) Lu, Professor at University of Huddersfield, UK
Email address: j.lu@hud.ac.uk
Webpage: https://pure.hud.ac.uk/en/persons/joan-lu
Research interests: XML technology, data mining, information retrieval/extraction and visualization, mobile computing and distributed system.
- Bali, V., Bhatnagar, V., Lu, J., & Banerjee, K. (Eds.) (2022). Decision Analytics for Sustainable Development in Smart Society 5.0: Issues, Challenges and Opportunities. (1st ed.) (Asset Analytics). Springer Singapore. https://doi.org/10.1007/978-981-19-1689-2
- Hazell, P., & Lu, J. (2022). Exploring How The Unique Behaviours Of Industrial Control System Networks Can Be Applied To Enhance Intrusion Prevention. In 2022 13th UKACC International Conference on Control, CONTROL 2022 (pp. 38-44). [9781374] IEEE. https://doi.org/10.1109/Control55989.2022.9781374
Prof. Kai Cheng, Professor, Mechanical and Aerospace Engineering, Brunel University, UK
Email address: kai.cheng@brunel.ac.uk
Webpage: https://www.brunel.ac.uk/people/kai-cheng
Research Areas: Precision and micro manufacturing; Design of high precision machine tools; Sustainable manufacturing and systems; E-manufacturing
- Gao, Q., Chen, W., Lu, L., Huo, D. and Cheng, K. (2019)‘Aerostatic bearings design and analysis with the application to precision engineering: State-of-the-art and future perspectives‘. Tribology International, 135. pp. 1 – 17. ISSN: 0301-679X
Prof. Maozhen Li, Vice-Dean of the NCUT TNE programme, Brunel University, UK
Email address: Maozhen.Li@brunel.ac.uk
Webpage: https://www.brunel.ac.uk/people/maozhenrick-li
Research Areas: High Performance Computing, Big Data Analytics, Knowledge and Data Engineering, Data Mining and Machine Learning
- Han, F., Ashton, P., Li, M., Pisica, I., Taylor, G., Rawn, B. and et al. (2021) ‘A Data Driven Approach to Robust Event Detection in Smart Grids Based on Random Matrix Theory and Kalman Filtering‘. Energies, 14 (8). pp. 1 – 15.
Prof. Zidong Wang, Professor of Dynamical Systems and Computing, Brunel University, UK
Email address: Zidong.Wang@brunel.ac.uk
Webpage: http://www.brunel.ac.uk/~csstzzw/
Research interests:
- Intelligent Data Analysis (Bioinformatics, Microarray image processing, Data mining, Neural networks, Genetic algorithm, Fuzzy systems, System identification)
- Signal Processing (Digital filter design, Envelope-constrained filter, Signal processing for uncertain systems, Optimal filtering and deconvolution, Multi-rate and filter banks
- Real-time Systems (Stochastic control, Robust control and estimation, H-infinity control, Model reduction, Sampled-data systems, Time-delay systems, Nonlinear systems, Multi-dimensional systems, Fuzzy control, Robot control)
- Liu, Z. Wang and D.-H. Zhou, State Estimation and Fault Diagnosis under Imperfect Measurements, CRC Press, London, 222 pages, 2022. (ISBN 978-1-032-31385-6)
- Song, Z. Wang and Y. Niu, Protocol-Based Sliding Mode Control: 1D and 2D System Cases, CRC Press, London, 298 pages, 2022. (ISBN 978-1-032-31387-0)
- Shen, Z. Wang and Q. Li, Control and State Estimation for Dynamical Network Systems with Complex Samplings, CRC Press, London, 304 pages, 2022. (ISBN 978-1-032-30996-5)
- Zou, Z. Wang and J. Liang, Communication-Protocol-Based Filtering and Control of Networked Systems, Springer, London, 212 pages, 2022. (ISBN 978-3-030-97512-8)
- Han, Z. Wang and H. Dong, Distributed Filtering, Control and Synchronization: Local Performance Analysis Methods, Springer, London, 223 pages, 2022. (ISBN 978-3-030-97075-8)
Dr. Jinsheng Kang, Lecturer of Brunel Design School, Brunel University, UK
Email address: mailto:Jinsheng.Kang@brunel.ac.uk
Webpage: https://www.brunel.ac.uk/people/jinsheng-kang
Research Areas: Human Modelling and Simulation, Virtual Human, Computer Aided Creative Conceptual Design.
- Tao, Q., Kang, J., Sun, W., Li, Z. and Huo, X. (2016) ‘Digital Evaluation of Sitting Posture Comfort in Human-vehicle System under Industry 4.0 Framework‘. Chinese Journal of Mechanical Engineering, 29 (6). pp. 1096 – 1103. ISSN: 1000-9345
Prof. Dayou Li, the Director of the Institute for Research in Applicable Computing, the University of Bedfordshire, UK
Email address: dayou.li@beds.ac.uk
Webpage: https://www.beds.ac.uk/howtoapply/departments/computing/staff/dayou-li/
Research Interests: Multiagent Systems for Optimisation, Fuzzy Logic and Neural Networks and Their Applications, Machine Learning, e-Learning, Automatic Control and Modelling
Dr. Sijing Zhang, Senior Lecturer in Computer and Information Systems, University of Bedfordshire, UK
Email address: Sijing.Zhang@beds.ac.uk
Webpage: https://www.beds.ac.uk/howtoapply/departments/computing/staff/sijing-zhang/
Research interests: Real-Time Communications over LAN’s and MAN’s; Real-Time Scheduling Algorithms; QoS Provisions in Wireless Networks; Network Protocol Analysis and Performance Evaluation
- Wang, S. Zhang and C. Maple, “Guaranteeing the timely transmission of periodic messages with Arbitrary Deadline Constraints using the timed token MAC protocol”, IET Communications, Volume 5, Issue 4, p.519-533, March 2011.
Dr. Wei Huang, Principal Lecturer in Computing and Information Systems, University of Bedfordshire, UK
Email address: wei.huang@beds.ac.uk
Webpage: https://www.beds.ac.uk/howtoapply/departments/computing/staff/wei-huang/
Prof Yong Yue, University of Bedfordshire, UK
Email address: yong.yue@beds.ac.uk
Prof. Wenhua Chen, Professor in Autonomous Vehicles, EPSRC Established Career Fellow, Loughborough University, UK
Email Address: w.chen@lboro.ac.uk
Webpage: https://www.lboro.ac.uk/departments/aae/staff/wen-hua-chen/
Research interests:
- The development of fundamental control theory for highly automated systems
- The development of advanced control theory and their applications
- Signal processing
- Development of autonomous system technologies
- Application of autonomous system technologies
- Safety and verification and validation of autonomous system technologies
- Yan, Y., Yang, J., Liu, C., Coombes, M., Li, S., Chen, W.-H. (2020) On the Actuator Dynamics of Dynamic Control Allocation for a Small Fixed-Wing UAV with Direct Lift Control. IEEE Transactions on Control Systems Technology, 28(3). https://doi.org/10.1109/TCST.2019.2945909
Prof. Jiyin Liu, Professor of Operations Management, Loughborough University, UK
EmailAddress: J.Y.Liu@lboro.ac.uk
Webpage: https://www.lboro.ac.uk/departments/sbe/staff/jiyin-liu/
- Zhao, G., J. Liu, and Y. Dong. Schedulingthe operations of a double-load crane in slab yards. International Journalof Production Research, Vol. 58, No. 9, 2020, pp. 2647–2657
Prof. Jiyin Liu, Professor of Operations Management, Loughborough University, UK
EmailAddress: J.Y.Liu@lboro.ac.uk
Webpage: https://www.lboro.ac.uk/departments/sbe/staff/jiyin-liu/
- Zhao, G., J. Liu, and Y. Dong. Schedulingthe operations of a double-load crane in slab yards. International Journalof Production Research, Vol. 58, No. 9, 2020, pp. 2647–2657
Prof. Shuanghua Yang, Professor of Operations Management, Loughborough University, UK
Email address: S.H.Yang@lboro.ac.uk
Webpage: https://www.lboro.ac.uk/departments/compsci/staff/shuang-hua-yang/#tab4
Research Areas:
- Wireless Sensor Networks
- Wireless Communication
- Internet-based Control
- Industrial Internet of Things
- Mobile Target Tracking
- Energy Harvesting
- Home Automation
- Safety and Security of Cyber-Physical Systems
- Software Maintenance
- Internet Congestion Control
- Insider Network Security
- Safety-critical Systems
- Yan, Y. Chen and S. -H. Yang, “New Energy Consumption Model for Rotary-Wing UAV Propulsion,” in IEEE Wireless Communications Letters, vol. 10, no. 9, pp. 2009-2012, Sept. 2021, doi: 10.1109/LWC.2021.3090772.
- Yan, Y. Chen and S. -H. Yang, “Time Allocation and Optimization in UAV-Enabled Wireless Powered Communication Networks,” in IEEE Transactions on Green Communications and Networking, vol. 6, no. 2, pp. 951-964, June 2022, doi: 10.1109/TGCN.2021.3117312.
Prof. Dingli Yu, Professor in Faculty of Engineering and Technology, Liverpool John Moores University, UK
Email address:d.yu@livjm.ac.uk
Researchinterests: SystemsEngineering, Control Theory, System Modelling, Advanced Control Theory, MATLABSimulation, System Identification
- Ji K, Zhang Q,Yuan Z, Cheng H, Yu DL. 2021. A virtual force interaction scheme formulti-robot environment monitoring Robotics and Autonomous Systems. https://doi.org/10.1016/j.robot.2021.103967
- Zhang Q, LiuX, Spurgeon S, Yu DL. 2021. A two-layer modelling framework for predictingpassenger flow on trains: A case study of London undergroundtrains Transportation Research Part A: Policy and Practice, 151 :119-139. https://doi.org/10.1016/j.tra.2021.07.001
Prof. Jin Wang, Professor in Faculty of Engineering and Technology, Liverpool John Moores University, UK
Email address: J.Wang@ljmu.ac.uk
Research interests: Design and operation of maritime engineering systems such as ships, offshore installations and port terminals.
- Matellini DB, Wall AD, Jenkinson ID, Wang J, Pritchard R. 2013. Modelling dwelling fire development and occupancy escape using Bayesian network RELIABILITY ENGINEERING & SYSTEM SAFETY, 114 :75-91. https://doi.org/10.1016/j.ress.2013.01.001
Prof. Xun Chen, Professor Liverpool John Moores University, UK
Email address: x.chen@ljmu.ac.uk
- Sufian M, Chen X. 2022. RoboticGrinding for Surface Repair Advances in Manufacturing Processes,Intelligent Methods and Systems in Production Engineering, 15th Globe Congresson Manufacturing and Management (GCMM) 335 :257-272. http://doi.org/10.1007/978-3-030-90532-3_20
- Guo etal., “Acoustic`Emission Intelligent Prediction of Grinding Surface Roughness Based on BPNeural Network,” 2020 3rd World Conferenceon Mechanical Engineering and Intelligent Manufacturing (WCMEIM), 2020, pp.373-376, doi: 10.1109/WCMEIM52463.2020.00084.
Prof. Zi-Qiang Zhu, Professor at University of Sheffield, UK
Email address: z.q.zhu@sheffield.ac.uk
Webpage: https://www.sheffield.ac.uk/eee/people/academic-staff/zi-qiang-zhu
Research Interests:
- Novelhigh torque/power density permanent magnet machines
- High-speedmachines
- Direct-drivepermanent magnet machines
- Low-costpermanent magnet motors
- Controlof permanent magnet machine drives
- Parameterand condition identification of permanent magnet machines
- Intelligentcontrol of permanent magnet machine drives
- NovelPWM strategies
- Powertrains for electric vehicles
- Windpower generation
- Domesticappliances
- Moreelectric aircraft
- Mei ZT, Li GJ, Zhu ZQ, Clark R, Thomas A & Azar Z (2022)Scaling effect on inter-turn short-circuit fault ofPM machines for wind power application. IEEE Transactions on Industry Applications.
- Xu L & Zhu ZQ (2022)A Novel SVPWM for Open Winding Permanent MagnetSynchronous Machine with Extended Operation Range. IEEE Journal of Emerging and Selected Topics in Power Electronics, 1-1.
Prof. Zi-Qiang Lang, Professor, University of Sheffield, UK
Email address: z.lang@sheffield.ac.uk
Webpage: https://www.sheffield.ac.uk/acse/department/people/academic/zi-qiang-lang
Research interests:
- Nonlinear system modelling, analysis anddesign in the frequency domain
- Structural health monitoring
- Condition monitoring and fault detection ofwind turbine system and components
- Smart structures and systems
- Passive and semi-active vibration controlwith applications in marine, automobile, and earthquake engineering
- Digital manufacturing
- Application of machine learning to medicaldiagnosis
- Lang Z, Wang B, Wang Y, Cao C, Peng X, Du W& Qian F (2022) A novel multi-sensor data-driven approach tosource term estimation of hazardous gas leakages in the chemical industry. Processes, 10(8).
- Zhu Y-P,Lang ZQ, Mao H-L & Laalej H (2022) Nonlinear outputfrequency response functions: A new evaluation approach and applications torailway and manufacturing systems’ condition monitoring. Mechanical Systems and Signal Processing, 163. View this article in WRRO
Prof. Huosheng Hu，Professor, Computer Science & Electronic Engineering, University of Essex, UK
Emailaddress: hhu@essex.ac.uk
Webpage:https://www.essex.ac.uk/people/huhuo40009/huosheng-hu
Researchinterests:
- IntelligentSystems and Autonomous Mobile Robots;
- Networkedrobots and network enable systems/devices;
- Smartsensors, actuators and Mechatronics;
- Sensorintegration and Data fusion algorithms;
- Tele-rehabilitation,tele-care, tele-health, Intelligent wheelchairs;
- GeneticAlgorithms, Fuzzy Logic and Neural Networks in Robotics;
- Pervasivecomputing, mobile computing, eLearning;
- Distributedcomputer architecture and Parallel processing.
- SongS, Chen W, Liu Q, Hu H, Huang T, Zhu Q. A novel deep learningnetwork for accurate lane detection in low-light environments.Proceedings of the Institution of Mechanical Engineers, Part D: Journal ofAutomobile Engineering. 2022;236(2-3):424-438.
- Hu,X., An, Y., Shao, C. and Hu, H., (2022). Distortion ConvolutionModule for Semantic Segmentation of Panoramic Images Based on the Image-FormingPrinciple. IEEE Transactions on Instrumentation and Measurement. 71,1-12.
Prof. Dongbing Gu, Professor in the School of Computer Science and Electronic Engineering, University of Essex, UK
Emailaddress: dgu@essex.ac.uk
Webpage:https://www.essex.ac.uk/people/gudon81301/dongbing-gu
ResearchInterests: Robotics; Autonomous system;Machine Learning; SLAM; Cooperative Control; Unmanned Aerial Vehicles;Navigation, Control and Guidance
- Chen, T. and Gu, D.,(2022). CSA6D: Channel-Spatial Attention Networks for 6D Object Pose Estimation. CognitiveComputation. 14 (2), 702-713
- Wang,Y., Ma, X., Wang, J., Hou, S., Dai, J., Gu, D. and Wang, H., (2022). Robust AUV Visual Loop Closure Detection Based on VariationalAuto-Encoder Network. IEEE Transactions on Industrial Informatics. 18(12), 8829-8838
Prof. Geyong, Min, Chair and Director of High Performance Computing and Networking (HPCN) Research Group, University of Exeter, UK
Email address: G.Min@exeter.ac.uk
Webpage: https://computerscience.exeter.ac.uk/staff/gm321?sm=gm321
Research interests:
- Smart Computing
- Mobile Computing
- Cloud Computing
- Future Internet
- Wireless Networks
- Cyber-Physical Systems
- Parallel and Distributed Systems
- System Modelling and Performance Optimization
Prof. Dawei Gu, Professor in Department of Engineering, Leicester University, UK
Email address: dag@le.ac.uk
Prof. Hongji Yang, Professor of Creative Computing, University of Leicester, UK
Email address: hy124@leicester.ac.uk
Webpage: https://le.ac.uk/people/hongji-yang
- Zhou, X. -B. Hu, J. Zhou and H. Yang, “An Efficient Genetic Method for Multi-Objective Location Optimization of Multiple City Air Terminals,” in IEEE Access, vol. 9, pp. 108665-108674, 2021, doi: 10.1109/ACCESS.2021.3101279.
Prof. Hujun Yin, Professor of Artificial Intelligence, University of Manchester,UK
Email address: hujun.yin@manchester.ac.uk
Webpage: https://www.research.manchester.ac.uk/portal/hujun.yin.html
Prof. Yuchun Xu, Professor, PhD, Chair in Manufacturing, Aston University, UK
Email address: y.xu16@aston.ac.uk
Webpage: https://research.aston.ac.uk/en/persons/yuchun-xu
Research interests: Digital Product Development & Manufacturing, Smart Manufacturing & Automation, Remanufacturing & Life Cycle Engineering, Cost Modelling & Engineering-Economic Analysis.
- Zhang, M., Wang, D., Amaitik, N., & Xu, Y. (2022). A Distributional Perspective on Remaining Useful Life Prediction with Deep Learning and Quantile Regression. IEEE Open Journal of Instrumentation and Measurement. https://doi.org/10.1109/OJIM.2022.3205649
- Amaitik, N., Zhang, M., Wang, Z., Xu, Y., Thomson, G. A., Xiao, Y., Kolokas, N., Maisuradze, A., Garcia, O., Peschl, M., & Tzovaras, D. (2022). Cost Modelling to Support Optimum Selection of Life Extension Strategy for Industrial Equipment in Smart Manufacturing. Circular Economy and Sustainability.https://doi.org/10.1007/s43615-022-00154-0
Dr. Qingde Li, Lecturer in computer science, University of Hull, UK
Email address: q.li@dcs.hull.ac.uk
Webpage: https://www.hull.ac.uk/staff-directory/qingde-li
Research interests:
- High precision geometric reconstruction of vascular and neural structures.
- Deep learning on shape understanding and geometric information processing.
- Tactile modelling and haptic effects programming.
- Environmental geometry-aware wearable devices.
- Ding, X., Cheng, Y., Luo, Y., Li, Q., & Gope, P. (2022). Consensus Adversarial Defense Method Based on Augmented Examples. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/TII.2022.3169973
Dr. Bing Wang, Lecturer in Computer Science, University of Hull, UK
Email address: B.Wang@dcs.hull.ac.uk
Webpage: https://www.hull.ac.uk/staff-directory/bing-wang
Research interests: the formal data models of heterogeneous system integration, the design of software tools to dynamically link and manage complex multimedia data types stored in different types of databases.
- Zhang, B., Ren, J., Wang, B., Cheng, Y., & Wei, Z. (2019). Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm. IEEE Access, 7, 32423-32433. https://doi.org/10.1109/ACCESS.2019.2902217
Prof. Hongnian Yu, Head of Research in the School of Engineering and the Built Environment, Edinburgh Napier University, UK
Email address: H.Yu@napier.ac.uk
Webpage: https://www.napier.ac.uk/people/hongnian-yu
Researchinterests:
- Robotics and intelligent control.
- Applied Artificial intelligence, data analysis, data scienceswith applications in digital healthcare and manufacturing systems
- Applications of emerging technology, such as RFID, wirelesstechnology, etc into the health care, manufacturing systems.
- Zhao, H., Yu, H., Peng, L. (inpress). Event-Triggered Distributed Data-Driven Iterative Learning BipartiteFormation Control for Unknown Nonlinear Multiagent Systems. IEEETransactions on Neural Networks and Learning Systems, https://doi.org/10.1109/tnnls.2022.3174885
- Zhao, H., Shan, J., Peng, L., Yu,H. (in press). Learning-based Robust Bipartite Consensus Control for a Class ofMultiagent Systems. IEEE Transactions on Industrial Electronics, https://doi.org/10.1109/tie.2022.3174275
Prof. Sheng Chen, Professor, In Electrics and Computer Science, University of Southampton, UK
Email address: sqc@ecs.soton.ac.uk
Webpage: https://www.ecs.soton.ac.uk/people/sqc
Research interests: learning theory and neural networks, adaptive signal processing for communications, wireless communications, modelling and identification of nonlinear systems, evolutionary computation methods and optimisation.
- Gan, F. Gao, J. Dong and S. Chen, “Arbitrary-Scale Texture Generation From Coarse-Grained Control,” in IEEE Transactions on Image Processing, vol. 31, pp. 5841-5855, 2022, doi: 10.1109/TIP.2022.3201710.
- Gao, Zhen, Wan, Ziwei, Zheng, Dezhi, Tan, Shufeng, Masouros, Christos, Ng, Derrick Wing Kwan and Chen, Sheng (2022) Integrated sensing and communication with mmWave massive MIMO: a compressed sampling perspective. IEEE Transactions on Wireless Communications. (doi:10.1109/TWC.2022.3206614).
Dr. Xian Fei, Senior Lecturer in Computing, University of Coventry, UK
Email address: aa5861@coventry.ac.uk
Research interests:
- (Wireless) Internetworking
- Middleware for WSN (Wireless Sensor Networks)
- Packet Scheduling for (Wireless) Internetworking
Prof. Shengfeng Qin, Northumbria University, UK
Email address: SHENG-FENG.QIN@NORTHUMBRIA.AC.UK
Webpage: https://www.northumbria.ac.uk/about-us/our-staff/q/sheng-feng-qin/
Research Interests: digital design and manufacturing methods and technology for product-service systems
- A filtering genetic programming framework for stochastic resource constrained multi-project scheduling problem under new project insertions, Chen, H., Ding, G., Zhang, J., Li, R., Jiang, L., Qin, S. 15 Jul 2022, In: Expert Systems with Applications
- A two-stage genetic programming framework for Stochastic Resource Constrained Multi-Project Scheduling Problem under New Project Insertions, Chen, H., Zhang, J., Li, R., Ding, G., Qin, S. 1 Jul 2022, In: Applied Soft Computing
Prof. Yi Huang, Professor of Electrical Engineering and Electronics, University of Liverpool, UK
Email address: Yi.Huang@liverpool.ac.uk
- Zheng, X. Chen and Y. Huang, “An Effective Antenna Pattern Reconstruction Method for Planar Near-Field Measurement System,” in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-12, 2022, Art no. 8005012, doi: 10.1109/TIM.2022.3193194.
Prof. Jihong Wang, Head of Power and Control Systems Research Laboratory, University of Warwick, UK
Email address: j.h.wang@bham.ac.uk
Webpage: https://warwick.ac.uk/fac/sci/eng/people/jihong_wang/
Research interests:
- Power system modelling, control and monitoring, including large scale power plant modelling and control
- Energy storage and grid integration
- Energy efficient actuators and systems
- Liu, J.Q., Wang, J.,Cardinal, J., 2022, Evolution and Reform of UK Electricity Market, Renewable & Sustainable Energy Reviews, Vol. 161, 112317. https://doi.org/10.1016/j.rser.2022.112317
- Ke, J., He, W., Dooner, M., Luo, X., Wang, J., 2022, Compressed air energy storage system dynamic modelling and simulation, Compressed Air Energy Storage: Types, Systems and Applications, 135, IET.
Prof. Wenyan Wu, Professor in Advanced System Engineering, Birmingham City University, UK
Email address: wenyan.wu@bcu.ac.uk
Webpage: https://www.bcu.ac.uk/engineering/about-us/our-staff/wenyan-wu
Research Areas:
- Smart sensor, sensor network and sensor localisation tracking,RFID
- Monitoring and modelling, Optimization and Calibration in waterdistribution system
- Smart system design
- Hydroinformatics and water resource management
- 3D modelling and visualisation
- Virtual Reality, Augmented Reality and advanced interface
- Digital processing technology
Prof. Mianhong Wu, University of Derby, UK
Email address: M.H.Wu@derby.ac.uk