Photo of Dr Chunbo Luo

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. 

His research interests are wireless communications, UAVs, deep learning and sensor networks. He received his PhD degree from the University of Reading, UK, for his work on the study of high performance cooperative wireless networks in 2011. He then joined the EPSRC SUAAVE project within the University of Ulster, collaborating with researchers from University College London and Oxford University for developing autonomous robotic/sensor solutions for undertaking tasks such as communication bridging and search and rescue tasks. He later took a Lecturer position at the University of the West of Scotland in 2013 and then moved to University of Exeter in 2015.

Dr. Luo’s research has led to fruitful peer-reviewed publications in renowned journals, top-tier conference proceedings and book chapters. Focusing on networks, UAV and data processing, he has published over 30 research papers since 2013, in high impact journals including IEEE Transactions on Wireless Networks, IEEE Transactions on Vehicular Technologies, IET Communications etc, and in top conferences such as IEEE Globecom, IEEE VTC etc. He has been invited as keynote speakers, session chairs or TPC members of international conferences, academia/industry workshops and meetings, including IEEE ICC 2015/2016, IEEE/CIC 2015, SEPA, British Telecom, and Pak-UK workshop on emerging 5G Technology for Disaster Management etc. He is an invited reviewer of a group of IEEE Transactions, Elsevier journals and International Journal series. His research has been widely supported by major funding bodies including Research Councils UK, the Royal Society, EU, and industry, through a total number of more than 15 projects.

He has been the PI of two projects sponsored by the Royal Society, and CENSIS/Thales respectively for developing UAV data acquisition and processing techniques for contingency environments such as oil spill detection (2014-2016), and flood monitoring, and advanced image processing algorithms to automatically identify tiny targets (2015-2016). He is also co-leading the Royal Society of Edinburgh and NNSFC funded project: Flood Detection and Monitoring using Hyperspectral Remote Sensing from Unmanned Aerial Vehicles (2016-2018). He is working on networking technologies involving an EU Horizon 2020 project SELFNET (2015-2017) and directing researchers with Porsche and Stuttgart Media University for developing smart charging algorithms for Electric Vehicles (2016-2019). Some new projects:

  • NERC HT project: NE/P017436/1 - BIG data methods for improving windstorm FOOTprint prediction (BigFoot), 2017-2021, 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. 
  • Building Digital Identities: A Scoping Study, 2017, ESRC IAA Social Policy Network. Link
  • Exeter Outward Mobility Academic Fellowship, 2016. 

PhD applicants are welcome if you are interested in the following topics:

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

Exeter University PhD Studentship opportunities. Link

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