Hongnian Yu

hongnian yu

Dr Hongnian Yu

  

Biography

Professor Hongnian Yu is Head of Research in the School of Engineering and the Built Environment. He has successfully supervised 20 PhD theses and 18 Master by Research theses, and has examined over 30 PhD/MPhil students’ theses as both internal and external examiner. He has trained 12 post-doctoral research fellows. He has published over 200 journal and conference research papers. He has held several research grants worth about eight million pounds from the UK EPSRC, the Royal Society, and the European, AWM, as well as from industry. He has managed several international large consortiums as a coordinator. Examples are 1) coordinator (PI) of an EPSRC funded £158K international network project on Human Adaptive Mechatronics which includes 7 Japanese partners and 7 UK partners; 2) coordinator of the EU funded 3.05 million Euro Erasmus Mundus FUSION project which has 20 international partners; 3) coordinator of the EU funded one million Euro Marie Curie project, etc.

Prof Yu has strong research collaboration with partners from over 30 countries, such as China, France, Germany, Hungary, India, Italy, Japan, Romania, Thailand, and UK. He was awarded the F.C. William Premium for his paper on adaptive and robust control of robot manipulators by the IEE Council, and has received two best conference paper awards, seven best (student) conference paper awards with his research students. He has won the Gold Medal on The World Exhibition on Inventions, Research and New Technologies, INNOVA 2009, Brussels, and International Exhibition of Inventions, Geneva, Switzerland, 2010, for invention “Method and device for driving mobile inertial robots”; and the 43rd International Exhibition of inventions, New Techniques and Products, in Geneva, 2015. He is a member of the EPSRC Peer Review College, Fellow of the IeT, Fellow of the RSA, and senior member of IEEE.

Prof Yu is multi-disciplinarily educated and has a divergent knowledge base, good communication and teaching skills.He is enjoying working with people, eager to learn, hardworking and conscientious with considerable initiative. His research covers the following three areas:
1) Robotics and intelligent control.
2) Applied Artificial intelligence, data analysis, data sciences with applications in digital healthcare and manufacturing systems
3) Applications of emerging technology, such as RFID, wireless technology, etc into the health care, manufacturing systems.

Research Areas

Esteem

Conference Activity

  • Programme Chair of the EPSRC Network Plus: Industrial Systems in the Digital Age Conference 2018, Newcastle, 26-27 June 2018
  • Programme Chair of the EPSRC Network Plus: Industrial Systems in the Digital Age Conference 2017, Glasgow, 20-21 June 2017
  • General co-chair of the 2016 International Conference on Advanced Mechatronic Systems, Swinburne University of Technology, Melbourne, Australia, 30 Nov. - 3 Dec., 2016
  • General co-chair of the 2015 International Conference on Advanced Mechatronic Systems
  • General co-chair of the 2014 International Conference on Advanced Mechatronic Systems

 

Editorial Activity

  • Guest editor of Energies on special issue - Smart Design, Smart Manufacturing and Industry 4.0
  • Guest editor of Journal of Mathematical Problems in Engineering on special issue - New Developments on Robust Nonlinear Control and Its Applications
  • Guest editor of Journal of Mathematical Problems in Engineering on Special issue - New Developments on Robust Nonlinear Control and Its Applications
  • Guest editor of Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering on Special issue - Human Adaptive Mechatronics
  • Associate Editor, International Journal of Automation and Computing

 

External Examining/Validations

  • An External Evaluator for the Study Abroad Framework at University of West London
  • External examiner in BEng/MEng Electrical and Electronic Engineering at University of Sussex
  • External examiner in MSc/PgDip Computer Sciences and Technology at The University of Bedfordshire
  • External course examiner in MSC/PgDip Robotics and Automation at The University of Salford
  • External examiner in BSc Computing, Business Computing, Computing & Internet & Multimedia Computing at University of Surrey Roehampton University

 

Fellowships and Awards

  • Fellow of Institution of Electrical Engineering
  • International Exposition Geneva award, for invention (The Haptic Robot Control on Uneven Terrain and Uncertain Environment)
  • China Association of Inventors (CAI) award – Prize of China Delegation of the Exhibition in recognition of the outstanding performance and idea demonstrated by the invention, for invention (The Haptic Robot Control on Uneven Terrain and Uncertain Environment)

 

Grant Reviewer

  • EPSRC review college member

 

Invited Speaker

  • CPS-based Intelligent Firefighting Robot Systems at SMART INDUSTRY WORKSHOP - Recent Advances in Industrial Digitalization, Robotics and Automation, 9-11 January 2019, Nottingham Trent University, Nottingham, UK
  • Applications & Future Trends of Robotics, Hangzhou, China, 21 March 2018
  • Transforming manufacturing in China: Industry 4.0 and robotics, Qinghua University, China, May 2017
  • China Intelligent Manufacturing - opportunities for Bournemouth University, ZhengZhou, China, May 2016
  • On design, modelling and control of rescue robots at International Conference on Advanced Mechatronic Systems,10-12 August, 2014, Kumamoto, Japan
  • Activity recognition of elderly people, The 8th International Conference on Software, Knowledge, Intelligent Management and Applications, 18-20 December 2014, Dhaka, Bangladesh
  • ICT enabled health care for elderly , 17th International Conference on Computer and Information Technology
  • Keynote Speaker at 9th WSEAS International Conference on Mathematics and Computers in Business and Economics, Bucharest, ROMANIA, 24-26 June 2008

 

Research Degree External Examining

  • PhD examination: Auday Baheer Essa AI-Mayyahi, Sussex University, 2018 Trajectory Tracking and Navigation of unmanned ground vehicle using intelligent controllers and computer vision
  • PhD Examination: Organisational Factors in RFID Adoption, Implementation and Benefits, University of Central Lancashire
  • PhD Examination: Mesoscopic dynamics of pitch processing in human auditory cortex, Bournemouth University
  • PhD Examination: Self-organising assembly using swarm robots, Southampton University
  • PhD examination: Active learning for data streams, Bournemouth University
  • PhD examination: An Efficient Approach to Online Bot Detection Based on a Reinforcement Learning Technique, Northumbria University
  • PhD examination: Advanced PID Control Optimisation and System Identification for Multivariable Glass Furnace Processes by Genetic Algorithms, Liverpool John Moore’s University
  • PhD examination: A Standards-based ICT Framework to Enable a Service-Oriented Approach to Clinical Decision Support, Sussex University
  • PhD examination: Global plant characterisation and distribution with evolution and climate, University of West England
  • PhD examination: Web Service Security Enhancements Supporting Service Oriented Architecture, Sussex University
  • PhD examination: Multimedia Communication in e-Government Interface: A Usability and User Trust Investigation, De Montfort University
  • PhD examination: Multimodal E-Learning: An Empirical Study, De Montfort University

 

Visiting Positions

  • Visiting professor at Lyon 2 University, 23 February – 23 March 2012

 

Date


37 results

Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control

Journal Article
Zhao, H., Peng, L., & Yu, H. (2020)
Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control. IEEE Access, 8, 144718-144729. https://doi.org/10.1109/access.2020.3014496
This article explores a data-driven distributed bipartite consensus tracking (DBCT) problem for discrete-time multi-agent systems (MASs) with coopetition networks under repeat...

Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology

Journal Article
Zhao, H., Peng, L., & Yu, H. (2020)
Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology. Sensors, 20(15), https://doi.org/10.3390/s20154164
This paper proposes a distributed model-free adaptive bipartite consensus tracking (DMFABCT) scheme. The proposed scheme is independent of a precise mathematical model, but ca...

Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs

Journal Article
Wang, C., Zhao, T., Yu, H., Li, E., Tian, X., & Ding, S. (in press)
Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, https://doi.org/10.1177/0954406220936728
The capacities of parallel mechanisms are limited by their height for the narrow space applications, such as the shipboard stability platforms, household simulators, aerospace...

The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research

Journal Article
Asghar, I., Cang, S., & Yu, H. (in press)
The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research. International Journal of Human-Computer Studies, https://doi.org/10.1016/j.ijhcs.2020.102471
Due to the ever-increasing number of people with dementia (PWD), the researchers are challenged with finding innovative ways for their wellbeing. This study explores the devel...

Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot

Journal Article
Zhang, J., Wei, H., Shan, Y., Li, P., Zhao, Y., Qi, L., & Yu, H. (2020)
Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot. IEEE Access, 8, 62932-62942. https://doi.org/10.1109/access.2020.2983260
In view of the demand for flexible drive and large load of the soft robot in the practical application, a novel type of flexible-actuated multi-degree-of-freedom (multi-DOF) p...

Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot

Journal Article
Huda, M. N., Liu, P., Saha, C., & Yu, H. (in press)
Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot. Journal of Intelligent and Robotic Systems, https://doi.org/10.1007/s10846-020-01167-3
This paper presents a miniature hybrid capsule robot for minimally invasive in-vivo interventions such as capsule endoscopy within the GI (gastrointestinal) tract. It proposes...

Adaptive neural network tracking control for underactuated systems with matched and mismatched disturbances

Journal Article
Liu, P., Yu, H., & Cang, S. (2019)
Adaptive neural network tracking control for underactuated systems with matched and mismatched disturbances. Nonlinear Dynamics, 98(2), 1447–1464. https://doi.org/10.1007/s11071-019-05170-8
This paper studies neural network-based tracking control of underactuated systems with unknown parameters and with matched and mismatched disturbances. Novel adaptive control ...

An empirical study on assistive technology supported travel and tourism for the people with dementia

Journal Article
Asghar, I., Cang, S., & Yu, H. (in press)
An empirical study on assistive technology supported travel and tourism for the people with dementia. Disability and Rehabilitation: Assistive Technology, 1-12. https://doi.org/10.1080/17483107.2019.1629119
Purpose: Research shows that people with disabilities have same desire for travel and tourism as others, but many constraints prevent them from independent travelling. Althoug...

Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence

Journal Article
Tang, Z., Yu, H., Lu, C., Liu, P., & Jin, X. (2019)
Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence. IEEE Access, 7, 128185-128197. https://doi.org/10.1109/ACCESS.2019.2940034
Electroencephalography (EEG)-based brain-machine interface (BMI) is widely applied to control external devices like a wheel chair or a robotic arm, to restore motor function. ...

Mutual information inspired feature selection using kernel canonical correlation analysis

Journal Article
Wang, Y., Cang, S., & Yu, H. (2019)
Mutual information inspired feature selection using kernel canonical correlation analysis. Expert Systems with Applications, 4, https://doi.org/10.1016/j.eswax.2019.100014
This paper proposes a filter-based feature selection method by combining the measurement of kernel canonical correlation analysis (KCCA) with the mutual information (MI)-based...

Pre-Napier Funded Projects

  • Smart robots for fire-fighting (H2020-MSCA-RISE-2016-734875, €909,000, 2017-2021, PI), Bournemouth University

Current Post Grad projects

Non-Napier PhD or MSc by Research supervisions

  • 1st Supervisor: An Automatic Wearable Multi-sensor based Gait Analysis System for Older Adults, (PhD, Bournemouth University, February 2019)