Dr Chunbo Luo

Lecturer in Computer Science


Telephone: 01392 725725

Extension: (Streatham) 5725

Dr. Chunbo Luo is a Lecturer in Computer Science within the College of Engineering, Mathematics and Physical Sciences at the University of Exeter, UK. My office has moved to Innovation Centre M1. 


  • Algorithms that changed the world;
  • Outside the box, Computer Science research and applications;
  • The C family languages


His research interests focus on developing model based and machine learning algorithms to solve practical problems such as wireless networking, unmanned aerial vehicles, and remote sensing. Some recent projects:

  • NERC HT project: BIG data methods for improving windstorm FOOTprint prediction (BigFoot), 2017-2021, CoI
  • Energy-Efficient High-Performance Computing Architecture Solutions for Powerful Big Data Processing, 2017-2019, CoI
  • Feasibility study on a fully deployable resilient flooding predicting, monitoring and response system, 2016-2017, ADR funding.
  • China UK Technology Innovation Centre Workshop 2016 (with Prof G Parr, University of East Anglia, and other 7 UK universities, Prof W Chen of Tsinghua University, Shanghai Jiaotong University and other 3 China research institutes, as well as Prof N Azarmi BT and other 4 industrial partners). Link
  • Research on Key Communication Technologies for UAVs to Transmit High Definition Video, 2017-2018, Huawei Technologies. 
  • High-Performance Distributed Algorithms and Key Technologies for Processing SDN Big Data, 11/2016 – 05/2018, Huawei Technologies. 
  • ESRC: IAA Social Policy Network: Building Digital Identities: A Scoping Study, 2017. LinkReport
  • Exeter-Tsinghua Outward Mobility Academic Fellowship, 2016. 
  • Royal Sciety of Edinburgh: Flood Detection and Monitoring using Hyperspectral Remote Sensing from Unmanned Aerial Vehicles
  • CENSIS, Thales, Scotish Funding Council: Low-pixel Automatic Target Detection & Recognition (ATD/ATR)
  • RCUK Digital Economy: A Pilot Study on a Fully Deployable Cooperative Unmanned Aerial Vehicles System for Flooding Prediction, Monitoring and Response Services 
  • Research on Multiple UAV Cooperation for Marine Oil Spill Detection


PhD students

The following topics are welcoming PhD applicants: 

  • Deep learning and its real-world applications
  • Next generation wireless networks
  • Unmanned aerial vehicles 
  • Other topics: computing, signal processing, sensing and unmanned systems


PhD funding

  • Studentships covering 3.5 years with £14K per year for stipend (UK/EU students). Link (Research on Bionic UAV Networks for Emergency Communication in Disasters - Computer Science - EPSRC DTP funded PhD Studentship)
  • China Scholarship Council and University of Exeter PhD Scholarships Link 
  • PhD Studentship opportunities at Exeter. Link

Past/Current third year/MSc projects

  • IR video image analyses of egg spawning of a weakly electric blunt nose knifefish
  • Blockchain demo system for verifying the provenance of weather datasets (Alex Hilson: Link
  • Elderly care home patients tracking based on camera
  • Air quality prediction and visualization
  • Mobility sensing