Dr Yongqiang Cheng

Senior Lecturer

Faculty of Science and Engineering


+44 (0) 1482 466572

Dr Yongqiang Cheng specialises in digital healthcare, robotics, AI, embedded systems, WSN, networking and data science.

His current research focuses are ambient living robotics and non-invasive healthcare devices with predictive analysis on the collected data.

Dr Cheng holds a world-class research track record of working / leading on more than 15 projects, producing more than 30 papers for leading international journals and highly prestigious conferences.

Dr Cheng has worked in telecom industrial for 3 years and has over 18 years of programming experience.


Research Interests

  • Digital healthcare
  • Robotics/flying robots
  • AI
  • Embedded systems
  • WSN
  • Networking and data science

Research groups

Member of Robotics and Autonomous Systems research group


  • University of Hull, School of Life Sciences - personal coaching, machine learning in sports science data,
  • University of Hull, School of Life Sciences - ultra realistic tactile feeling of objects through digital modelling,
  • Tongji University, Electronics and Information Engineering - non-invasive healthcare devices development,
  • Yanshan University, School of Information Science and Engineering - healthcare data analysis and chronic diseases prediction
  • Sunderland University, Data Science research group - big data in healthcare,
  • Henan University of Science and Technology, Information Engineering College - assistive living robots
  • University of Wolverhampton, Wolverhampton Cyber Research Institute - securing digital healthcare systems


Jiang P, Cheng Y, Wang X and Feng Z, 'Unfalsified Visual Servoing for Simultaneous Object Recognition and Pose Tracking', IEEE Transactions on Cybernetics, 46(12), pp 3032-3046 (2016)

Xue D, Cheng Y, Jiang P and Walker M, 'An Hybrid Online Training Face Recognition System Using Pervasive Intelligence Assisted Semantic Information', Conference Towards Autonomous Robotic Systems, pp 364-370, Springer International Publishing (2016)

Cheng Y, Jiang P and Peng Y, 'Increasing Big Data Front End Processing Efficiency via Locality Sensitive Bloom Filter for Elderly Healthcare, IEEE Symposium on Computational Intelligence in Big Data (CIBD), pp 1-8 (2014)

Jiang P, Ji Y, Wang X, Zhu J and Cheng Y, 'Design of a Multiple Bloom Filter for Distributed Navigation Routing', IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(2), pp 254–60 (2014)

Cheng Y, Jiang P and Hu Y F, 'A Snake Based Scheme for Path Planning and Control with Constraints by Distributed Visual Sensors', Robotica, v 32, No 04, pp 477-499 (2014)

Full list


Programmes taught on (2019)

Modules list

  • Embedded Systems Development

  • MSc Dissertation

  • Mobile Devices and Applications

  • Computer Systems

Research PhDs

Dr Cheng welcomes PhD applications in smart systems and digital health, robotics/flying robots, AI, embedded systems, WSN, data science.

Current PhD supervisions

  • Dongfei Xue (2015-), PhD, A Smart healthcare robot using ambient intelligence (lead supervisor)

  • Trung Thanh Dang (2018-),PhD, A deep learning based prediction model for high frequency trading (co-supervisor)

  • Annika Schoene (2017-), PhD, Natural Computation for Big Data Analytics (co-supervisor)

Completed PhDs

  • Mohammad Al Khaldy (2017), PhD, Autoencoders for clinical data analysis and classification:data imputation, dimensional reduction and pattern recognition(co-supervisor)

  • Robert Munnoch (2017), PhD, Personal data gathering and management for a patient centred health care system(co-supervisor)

Professional highlights

Academic qualifications

  • PCAP, University of Hull (2017)
  • PhD, Wireless Mosaic Eyes Based Robot Path Planning and Control - Autonomous Robot Navigation using Environment Intelligence with Distributed Vision Sensors, University of Bradford (2010)
  • MEng Control Theory and Control Engineering, Tongji University, Shanghai, China (2004)
  • BSc in Automation, Tongji University, Shanghai, China (2001)

External roles

Technical advisor, iMonSys Ltd (2014-), nsgroup ltd (2016-)

Guest editor: special issue of MDPI journal Computers (ISSN 2073-431X) "Computer Technologies in Personalized Medicine and Healthcare”, deadline June 2019. 

TPC member: ICETsAS 2018, WISATS (2015, 2017), SSCI 2016, IWC 2016, IEEE CIBD 2015

Session Chair: ICAC 2018, WISATS 2015, IEEE SSCI CIBD 2014

Invited talk, 2018, “From Intelligent Robots to Non-intelligent Robots - Pervasive Assistive Living”, Henan University of Science and Technology

Awards and accolades

Overseas Research Studentship (2007-2009), the Higher Education Funding Council for England (HEFCE)

Research grants

  • HEIF funding (8/2018-8/2019), Generation of an online platform/app to develop individualised home-based personal training/exercise programmes for obesity and other obesity-associated medical conditions for personalised medicine, Co-investigator (£47,942)

  • PING (2017- ) digital stethoscope monitor and heart rhythms detection, nsgroup ltd. Principal investigator (£16.5k)

  • EIMO (2014- ) health vital sign monitoring and analysis project, iMonSys Ltd. Principal investigator and developer. (£36k). 

  • TSB SINCBAC (Secure Integrated Network Communications for Broadband and ATM Connectivity) project (2012 - 2014, value: £2M). Technical expert and task leader of the network management and software design.

  • EU FP7 SANDRA (Seamless Aeronautical Networking through integration of Data links Radios and Antennas) project (2009-2013, value: 23.9M Euros). Technical expert and the task leader of the software design and implementation of the radio resource management scheme.

  • Biologically Inspired Wireless Mosaic Eyes for Mobile Robot Navigation (2007-2010), partially funded by the Royal Society of the UK, the National Nature Science Foundation of China, the National High-tech Research and Development Program of China, Overseas Research Scholarship and University of Bradford scholarship. Investigator/developer.

Professional highlights

  • Excellence Performance Staff Award, ZTE Research and Development Centre, Shanghai, China (2006)
  • Winner of IET innovation awards 2014 – highly commended in the measurement in action category.