Dr Chunbo Luo

Lecturer in Computer Science

Email:

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. 

Teaching:

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

Research:

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
  • Royal society, MOST: 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
  • Huawei: Research on Key Communication Technologies for UAVs to Transmit High Definition Video, 2017-2018.
  • 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). This project won a knowledge transfer award. 
  • RCUK Digital Economy: A Pilot Study on a Fully Deployable Cooperative Unmanned Aerial Vehicles System for Flooding Prediction, Monitoring and Response Services 
  • Royal Society, NSFC: Research on Multiple UAV Cooperation for Marine Oil Spill Detection
  • Joint PhD studentship with Porsche: on Electric Vehilce Smart Charging Algorithms.

PhD studentships

  • China Scholarship Council and University of Exeter Full PhD Scholarships Link
  • Fully funded PhD studenthsip (UK/EU) on Multi-stage Cyber Attack detection using Machine Learning Approaches. 
  • More PhD Studentship opportunities at Exeter. Link

PhD topics

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

 

Third year/MSc student projects

  • Video search (searching an object such as a red car from video clips)
  • Infrared video analyses of egg spawning of weakly electric blunt nose knifefishes
  • Fall detection of senior people at care homes using deep learning methods 
  • Prediction and Visulisation of Air Quality in the UK