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Profile

Dr Chunbo Luo

Senior Lecturer in Computer Science

Email:

Telephone: 01392 725725

Extension: (Streatham) 5725

 

News

Our IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Special Issue: Cooperative Perception for Computer Vision in Remote Sensing. Please consider to submit your recent work. 

 

Research

My current research interests are around sensing, networking and computation integrated design and optimisation, for cooperative unmanned vehicles, communication networks, remote sensing etc. My PhD was on cooperative communications: Nature has demonstrated the importance of cooperation with evidences from cooperative species out compete selfish species in many ways. One good example is from the study of African wild dogs: Lycaon pictus. Their communal hunting (74% success) is proved to be a success by outperforming lion (32%) which is thought to be the ultimate predator in the world (from my PhD thesis). 

  • Programme director:    MSc Data Sciecne Professional
  • Theme lead:  Remote Sensing, Institute for Data Science and Artificial Intelligence (IDSAI), Link.
  • Research manager:   EU H2020 Intelligent and Sustainable Aerial-Terrestrial IoT Networks

 

 

Some industrial projects I have worked on include:

  • To develop Machine Learing models to predict malware trends, funded by EPSRC and BT for a PhD project, Principal Investigator. In collaboration with Selina Wong from BT.
  • Detect very small objects from infrared images, Principal Investigator. In collaboration with UWS and Thales, the outcome of this project won a Knowledge Transfer Award. It developed and successfully demonstrated deep learning models to detect small objects in images with high accuracy. This project is a winner of the 2018 Scottish Knowledge Transfer Award!

Some recent research projects include:

  • EU H2020, INITIATE: Intelligent and Sustainable Aerial-Terrestrial IoT Networks, Research manager and CoI
  • NERC, SENSUM:  smart SENSing of landscapes Undergoing hazardous hydrogeologic Movement, CoI
  • With PML, ESA Dragon 4, DeepWater: Remote sensing and DEEP learning for early warning of WATER quality hazards, Exeter PI
  • NERC, BigFoot: BIG data methods for improving windstorm FOOTprint prediction, CoI
  • Royal society: Energy-Efficient High-Performance Computing Architecture Solutions for Powerful Big Data Processing, CoI
  • Feasibility study on a fully deployable resilient flooding predicting, monitoring and response system, 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
  • ESRC: IAA Social Policy Network: Building Digital Identities: A Scoping Study, CoI LinkReport
  • Exeter-Tsinghua Outward Mobility Academic Fellowship
  • Royal Society of Edinburgh: Flood Detection and Monitoring using Hyperspectral Remote Sensing from Unmanned Aerial Vehicles, Co-I.
  • EU H2020: SELFNET, UWS Co-I.
  • RCUK Digital Economy: A Pilot Study on a Fully Deployable Cooperative Unmanned Aerial Vehicles System for Flooding Prediction, Monitoring and Response Services, PI.
  • Royal Society, NSFC: Research on Multiple UAV Cooperation for Marine Oil Spill Detection, PI. 

 

Prospective PhD and Master students

Highly motivated postgraduate students are welcome to apply for PhDs. I am offering to supervise self-funded PhD students in the areas of:

  • AI/ML for remote sensing
  • Machine learning and AI for cooperation
  • Multiple-vehicle cooperation

PhD studentships may be offered, e.g. 

  • China Scholarship Council and University of Exeter Full PhD Scholarships  (Happy to provide supports to your application after our initial discussion and assessment. Please send me an email if you are interested.)
  • More PhD Studentship opportunities at Exeter. Link

Teaching

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

Third year/MSc student project examples

  • Patients Waiting Time Prediction for NHSquicker, Yuchen Zhu, Computer Science MSc project award winner!
  • 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
  • Block-chain based systems for combating VAT fraud, and trustful weather data management
  • Fall detection of senior people at care homes using deep learning methods 
  • Prediction and Visulisation of Air Quality in the UK