Computer Science

Department staff

Dr Qinggang Meng

Photo of Dr Qinggang Meng

Reader in Robotics and Autonomous Systems

I am a Reader in the Department of Computer Science, Loughborough University.  Before joining Loughborough University, I worked as a postdoctoral research associate for 4 years in bio-inspired robotics/developmental robotics in University of Wales, Aberystwyth(UWA), UK. I obtained my PhD from the Department of Computer Science, UWA in the area of AI and robotics. Before I came to the UK, I did one year RA in City University of Hong Kong. Before that, I was working in Intelligent Machine Institute at Tianjin University for several years in the area of intelligent robotics.

I have relatively wide research interests in robotics, unmanned aerial vehicles, driverless vehicles, networked systems, ambient assisted living, computer vision, AI and pattern recognition, machine learning and deep learning, both in theory and applications.

TWO new Postdoctoral positions available in 2017.

Due to a new grant, I need two postdoctoral researchers in robotics. PDRA1 will work on robot control architecture design and implementation, low-level robot leg control, and robot dynamic balance control (position filled). PDRA2 will work on machine learning/deep learning, and control for robotics.

Further details may be found at: https://www.lboro-robotics.org

 

Grants:

  1. “YOBAN- a companion robot to assist walking, sitting down and standing up for older people”, Qinggang Meng (PI), 1st April 2017-30th March 2019, £380,227 to Loughborough University/Dept. Computer Science, total £1.1M. Newton Fund – China-UK Research and Innovation Bridges.
  2. KTP project: ARM and Loughborough University,  Qinggang Meng (Co-I),  3 April 2017 to 02 April 2019, £230,194, to Loughborough University/Dept. Computer Science.
  3. “Stabilisation and walking in a bipedal robot based on the Flexmotor”, Qinggang Meng (PI), 1 July 2016-30 June 2020, £40,000 to Loughborough University/Dept. Computer Science, EPSRC CDT-EI and Motion Robotics Ltd.
  4. “Video based feature extraction and object tracking”, Qinggang Meng (PI), £70,000,  SUKE INTEL, Sept 2017-Aug 2018.
  5. "Towards more autonomy for unmanned vehicles: situational awareness and decision making under uncertainty", Qinggang Meng (Co-I), EPSRC, 1 March 2012-31 Dec 2016,  £1,006,188 (£1M).  I led WP bio-inspired multi-vehicle cooperation and decision making.
  6. “To optimise the design, implementation and deployment of an intelligent CCTV video forensic tool using multi-core processors”, Qinggang Meng (Co-I),  £121,160,  TSB, KTA, Oct 2011—Sept 2013. Leading  multi-core image/video  processing.
  7. “Highly autonomous and safe mining robot”, China State Administration of Foreign Experts Affairs, GDT20163200052, support travel and accommodation for visiting China University of Mining and Technology for total 3 months, 2016-2017.
  8. “On objective shooting quality assessment methods for stereo cameras based on stereo camera sources”,  National Natural Science Foundation of China, Qinggang Meng (Co-I), Grant number: 61471260, 850K RMB, 01, 2015-12, 2018.
  9. “Developmental robotic writing control driven by enhanced constraint-lifting algorithms”, National Natural Science Foundation of China, Qinggang Meng (Co-I), 220K RMB,  Grant No. 61203336, 01.2013-12, 2015.
  10.  “Integrative computation for autonomous agents: a novel approach based on the vertebrate brain”, 2005-2010, EPSRC, £1,893,234 (£1.89M) (as a PDRA).
  11. “Developmental learning algorithms for embedded agents,” 2002- 2005. EPSRC, £208,307 (As a PDRA). 

 

  • Biologically and psychologically inspired robotics, developmental robotics
  • Robot learning and adaptation
  • Machine learning, deep learning
  • Verification and validation of autonomous systems
  • Service robotics, assistive robotics
  • Computer vision, human motion analysis and activity recognition
  • Multi-UAV/UGV cooperation, distributed consensus algorithms for networked systems
  • Driver's distraction detection, car active safety
  • Situational awareness and decision making for driverless vehicles
  • Human activity pattern learning and abnormal behaviour detection, ambient assisted living (AAL)
  1. Associate editor (AE), 2017 IEEE International Conference on Robotics and Automation (ICRA 2017), May 29 to June 3, 2017, Singapore.
  2. Associate editor (AE), 2016 IEEE International Conference on Robotics and Automation (ICRA 2016), May 16 - May 21, 2016, Stockholm, Sweden.
  3. Program Chair, 10th International Symposium on Computer Science in Sport (IACSS 2015), September 09-11, 2015, UK.
  4. Associate editor (AE), 2015 IEEE International Conference on Robotics and Automation (ICRA 2015), May 26-30, 2015 at the Washington State Convention Centre in Seattle, WA, USA.
  5. Associate editor (AE), 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), May 31 - June 7, 2014  Hong Kong, China
  6. PC member, the 2016 IEEE Conference on Robotics and Biomimetics (ROBIO 2016), December 3-7, 2016
  7. Invited Speaker, the 14th annual Unmanned Aerial Systems, 17th -18th, November 2014, London.
  8. PC member, The 2014 IEEE International Conference on Robotics and Biomimetics, IEEE Robio 2014  December 5 to 10, 2014 at Melia Hotel in Hanoi, Vietnam.
  9. PC member, 2014 IEEE International Conference on Information and Automation, IEEE ICIA 2014, Hailar, Hulun Buir, Inner Mongolia, China, July 26 - 31, 2014
  10. PC member, 2014 2014 4th IEEE International Conference on Information Science and Technology, 26-28 April, China.
  11. PC member, 2013 IEEE international conferences on System, Man, and Cybernetics, Manchester, UK
  12. PC member, 2012 the Fifth International Conference on Advanced Computational Intelligence (ICACI2012)
  13. PC member, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012)
  14. PC member, 2012 IEEE World Congress on Computational Intelligence , Fuzz-IEEE 2012, IEEE-CEC 2012, IJCNN 2012, Hybrid Special Session on Computational Intelligence for Cognitive Robotics
  15. PC member, Workshop on Digital Media and its Application in Museum & Heritage (DMAMH): DMAMH 09,  DMDCM 2010,DMDCM-2011
  16. PC member, IEEE Conference on Automation Science and Engineering,  2008
  17. Technical committee member for FUZZ-IEEE 2008, CEC 2008; Reviewer for Fuzz-IEEE 2010
  18. PC member, International Workshop on Performance Modelling and Evaluation in Computer and Telecommunication Networks, 2007 and 2008.
  19. PC member, 11th International Conference on Knowledge-Based and Intelligent Information & Engineering, KES2007
  20. Track co-chair, IEEE Conference on Automation Science and Engineering, IEEE CASE 2007
  1. Turner, J, Meng, Q, Schaefer, G, Whitbrook, A, Soltoggio,A (2017) Distributed Task Rescheduling With Time Constraints for the Optimisation of Total Task Allocations in a Multi-Robot System, IEEE Transactions on Cybernetics, (Accepted with minor correction )
  2. Zhao, W, Meng, Q, Chung, P (2016), A heuristic distributed task allocation method for multi-vehicle multi-task problems and its application to search and rescue scenario, IEEE Transactions on Cybernetics, 46(4), pp.902-915, 46(4).
  3. Wen, S,  Zeng, Z.,  Huang,T.,  Meng, Q., and  Yao, Y (2015), Lag synchronization of switched neural networks via neural activation function and applications in image encryption, IEEE Transactions on Neural Networks and Learning Systems,  26(7), pp.1493-1502.
  4. WhitBrook,  A. , Meng, Q. and Chung P (2017),  Reliable, distributed scheduling and rescheduling for time-critical, multi-agent systems , IEEE Transactions on Automation Science and Engineering. Published online on 24 April 2017, DOI: 10.1109/TASE.2017.2679278
  5. Yang, J, Liu, Y, Meng, Q, Chu, R (2015), Objective evaluation criteria for stereo camera shooting quality under different shooting parameters and shooting distances, IEEE Sensors, 15(8), pp.4508-4521.
  6. Yang, J, Wang, Y, Li, B, Lu, W, Meng, Q, et al (2016), Quality assessment metric of stereo images considering cyclopean integration and visual saliency, Information Sciences, 373, pp.251-268,
  7. Liu, J, Yang, J, Meng, Q, Lv, Z, Song, Z, Gao, Z (2016), Stereoscopic image quality assessment method based on binocular combination saliency model, Signal Processing, 125, pp.237-248
  8. Wu J, Meng Q, Deng S, Huang H, Badii A (2017), Generic, network schema agnostic sparse tensor factorization for single-pass clustering of heterogeneous information networks, PLOS ONE. Published: February 28, 2017, https://doi.org/10.1371/journal.pone.0172323
  9. De Dios, PF, Chung, PWH, Meng, Q (2014) Landmark-based methods for temporal alignment of human motions, IEEE Computational Intelligence Magazine, 9(2), pp.29-37.
  10. Chao, F, Wang, C, Shang, Meng, Q, Z, Jiang, M, Zhou, C, Shen, Q (2014), A developmental approach to robotic pointing via human-robot interaction, Information Sciences, 283, pp.288-303,