Qinggang Meng
Scholar

Qinggang Meng

Google Scholar ID: OWGXbooAAAAJ
Department of Computer Science, Loughborough University, UK
roboticsdevelopmental roboticsmulti-UAV/UGV cooperationcomputer visionpattern recognition
Citations & Impact
All-time
Citations
5,168
 
H-index
31
 
i10-index
78
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Involved in significant research projects such as 'Neuromorphic memristive circuits to simulate inhibitory and excitatory dynamics of neuron networks: from physiological similarities to deep learning' (EPSRC, £965,567), 'JADE: Joint Academic Data science Endeavour - 2' (EPSRC, £5,539,933), and 'Embedded AI and computer vision for real-time quality monitoring of automatic food processing' (KTP project, £250,451).
Research Experience
  • Currently a Professor of Robotics and Artificial Intelligence in the Department of Computer Science at Loughborough University, Director of Research, REF2021 UoA11 (Computer Science and Informatics) Submission Lead, and Theme Leader of Vision, AI, Autonomous and Human Centred Systems. Leading multiple research projects, including navigation and control of agricultural robots, AI and machine learning for pollution monitoring, and image processing and defect detection on patterned textiles.
Education
  • Worked for several years at the Intelligent Machine Institute at Tianjin University on intelligent robotics; did one year of research assistantship at City University of Hong Kong; obtained a PhD from the Department of Computer Science, University of Wales, Aberystwyth, in the area of AI and robotics.
Background
  • Research interests include robotics, unmanned aerial vehicles, driverless vehicles, networked systems, ambient assisted living, computer vision, AI and pattern recognition, machine learning, and deep learning. Previously worked as a postdoctoral research associate in bio-inspired robotics/developmental robotics at the University of Wales, Aberystwyth.
Miscellany
  • Recruiting postdoctoral researchers in various fields, including AI, robotics, computer vision, and embedded intelligence.
Co-authors
0 total
Co-authors: 0 (list not available)