Dr Yongqiang Cheng


Faculty of Science and Engineering

School of Engineering and Computer Science


+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
  • Oxford Brooks University, Cyber security research group - 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 (2018)

Programmes taught on (2019)

Modules list

  • Embedded Systems Development
  • MSc Dissertation
  • Mobile Devices and Applications

Research PhDs

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

Current PhD supervisions

  • D Xue, Pervasive Intelligent Assisted Computer Vision - Face Recognition in Wireless Sensor Network 

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- )
  • TPC member of 9th EAI International Conference on Wireless and Satellite Systems (WISATS, 2017), IEEE Symposium Series on Computational Intelligence (SSCI 2016), IEEE Smart World Congress (IWC 2016), IEEE CIBD 2015, WISATS 2015 

  • Session Chair, 7th EAI International Conference on Wireless and Satellite Systems (WISATS 2015), IEEE SSCI CIBD 2014

Awards and accolades

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

Research grants

  • 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.