Professor David Flynn

  • Professor in Cyber Physical Systems (Systems Power & Energy)

Biography

David joined the University of Glasgow in 2022 as a Professor of Cyber Physical Systems. David is a member of the Energy and Sustainability Group, as well as the Communication, Sensing and Imaging Group.

Professor Flynn is a co-founder of the UKs EPSRC National Centre for Energy System Integration, UK Offshore Robotics and Artificial Intelligence Hub for Offshore Energy Asset Integrity Management (ORCA) for the Certification of Assets, and the EPSRC Centre for Doctoral Training in Embedded Intelligence.

Professor Flynn has published over 180 papers, holds several patents, established industrial innovation centres and created new companies. Professor Flynn is the recipient of several national and international awards for his research, including the Interface Knowledge Exchange Champion of the Year for 2020, Rushlight Innovation Award, and the Institute of Engineering and Technology (IET) Leslie H Paddle prize. Professor Flynn is also the IET Information Technology Innovation of the Year 2019 and Global Innovation of the Year winner 2019.

David is a Visiting Professor at Heriot-Watt University, Eminent Overseas Professor of Nagasaki University and the Vice-Chair of the Institute of Engineering and Technology (IET) Scotland. His degrees include a BEng (Hons), 1st Class in Electrical and Electronic Engineering (2002), an MSc (Distinction) in Microsystems (2003) and a PhD in Microscale Magnetic Components (2007), from Heriot-Watt University, Edinburgh.

Research interests

  • Cyber Physical Systems
  • Data and Digitalisation
  • Energy Systems
  • Autonomous Systems
  • Reliability Analysis
  • Prognostics and Health Management

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2021
Number of items: 20.

2023

Shawky, M. A. , Usman, M., Flynn, D. , Imran, M. A. , Abbasi, Q. H. , Ansari, S. and Taha, A. (2023) Blockchain-based secret key extraction for efficient and secure authentication in VANETs. Journal of Information Security and Applications, (Accepted for Publication)

de Bekker, P., Cremers, S., Norbu, S., Flynn, D. and Robu, V. (2023) Improving the efficiency of renewable energy assets by optimizing the matching of supply and demand using a smart battery scheduling algorithm. Energies, 16(5), 2425. (doi: 10.3390/en16052425)

Cremers, S., Robu, V., Zhang, P., Andoni, M. , Norbu, S. and Flynn, D. (2023) Efficient methods for approximating the Shapley value for asset sharing in energy communities. Applied Energy, 331, 120328. (doi: 10.1016/j.apenergy.2022.120328)

Tang, W., Blanche, J., Mitchell, D., Harper, S. and Flynn, D. (2023) Characterisation of composite materials for wind turbines using frequency modulated continuous wave sensing. Journal of Composites Science, 7(2), 75. (doi: 10.3390/jcs7020075)

Antony, J., Sony, M., McDermott, O., Jayaraman, R. and Flynn, D. (2023) An exploration of organizational readiness factors for Quality 4.0: an intercontinental study and future research directions. International Journal of Quality and Reliability Management, 40(2), pp. 582-606. (doi: 10.1108/IJQRM-10-2021-0357)

Gharavi, H., Yew, W. K. and Flynn, D. (2023) Smart local energy systems: optimal planning of stand-alone hybrid green power systems for on-line charging of electric vehicles. IEEE Access, 11, pp. 7398-7409. (doi: 10.1109/ACCESS.2023.3237326)

2022

Manzoor, H. U., Khan, M. S., Khan, A. R., Ayaz, F., Flynn, D. , Imran, M. A. and Zoha, A. (2022) FedClamp: an Algorithm for Identification of Anomalous Client in Federated Learning. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9970909)

Odo, A., McKenna, S., Flynn, D. and Vorstius, J. (2022) Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers. In: 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 17-21 Jul 2022, ISBN 9781665408233 (doi: 10.1109/pesgm48719.2022.9916591)

Andoni, M. , Norbu, S., Couraud, B., Flynn, D. , Chen, S. and Robu, V. (2022) Decentralized Energy White Paper: Adaptive Local Energy Communities. Project Report. University of Glasgow. (doi: 10.36399/gla.pubs.278207).

Andoni, M. , Norbu, S., Couraud, B., Flynn, D. , Chen, S. and Robu, V. (2022) Democratising Energy: Placing citizens and communities at the heart of the energy revolution. Project Report. University of Glasgow. (doi: 10.36399/gla.pubs.278206).

Lui, J., Sloan, W. , Paul, M. C. , Flynn, D. and You, S. (2022) Life cycle assessment of waste-to-hydrogen systems for fuel cell electric buses in Glasgow, Scotland. Bioresource Technology, 359, 127464. (doi: 10.1016/j.biortech.2022.127464) (PMID:35700893)

Dong, S., Cao, J., Flynn, D. and Fan, Z. (2022) Cybersecurity in smart local energy systems: requirements, challenges, and standards. Energy Informatics, 5, 9. (doi: 10.1186/s42162-022-00195-7)

Haugen, M. J., Flynn, D. , Greening, P., Tichler, J., Blythe, P. and Boies, A. M. (2022) Electrification versus hydrogen for UK road freight: conclusions from a systems analysis of transport energy transitions. Energy for Sustainable Development, 68, pp. 203-210. (doi: 10.1016/j.esd.2022.03.011)

Kirli, D., Couraud, B., Robu, V., Salgado-Bravo, M., Norbu, S., Andoni, M. , Antonopoulos, I., Negrete-Pincetic, M., Flynn, D. and Kiprakis, A. (2022) Smart contracts in energy systems: A systematic review of fundamental approaches and implementations. Renewable and Sustainable Energy Reviews, 158, 112013. (doi: 10.1016/j.rser.2021.112013)

Mitchell, D., Blanche, J., Harper, S., Lim, T., Gupta, R., Zaki, O., Tang, W., Robu, V., Watson, S. and Flynn, D. (2022) A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector. Energy and AI, 8, 100146. (doi: 10.1016/j.egyai.2022.100146)

Kirschbaum, L., Robu, V., Swingler, J. and Flynn, D. (2022) Prognostics for electromagnetic relays using deep learning. IEEE Access, 10, pp. 4861-4895. (doi: 10.1109/ACCESS.2022.3140645)

Couraud, B., Robu, V., Flynn, D. , Andoni, M. , Norbu, S. and Quinard, H. (2022) Real-time control of distributed batteries with blockchain-enabled market export commitments. IEEE Transactions on Sustainable Energy, 13(1), pp. 579-591. (doi: 10.1109/TSTE.2021.3121444)

Gupta, R., Mallikarjuna, D., Baines, L., Flynn, D. and Bucknall, D. (2022) Quantification of wear in glass reinforced epoxy resin composites using surface profilometry and assessing effect of surfacing film involvement. Materials Today: Proceedings, 57(Part 2), pp. 930-935. (doi: 10.1016/j.matpr.2022.03.061)

2021

Norbu, S., Couraud, B., Robu, V., Andoni, M. and Flynn, D. (2021) Modeling economic sharing of joint assets in community energy projects under LV network constraints. IEEE Access, 9, pp. 112019-112042. (doi: 10.1109/ACCESS.2021.3103480)

Roman, D., Saxena, S., Robu, V., Pecht, M. and Flynn, D. (2021) Machine learning pipeline for battery state-of-health estimation. Nature Machine Intelligence, 3(5), pp. 447-456. (doi: 10.1038/s42256-021-00312-3)

This list was generated on Mon Mar 27 15:07:45 2023 BST.
Jump to: Articles | Research Reports or Papers | Conference Proceedings
Number of items: 20.

Articles

Shawky, M. A. , Usman, M., Flynn, D. , Imran, M. A. , Abbasi, Q. H. , Ansari, S. and Taha, A. (2023) Blockchain-based secret key extraction for efficient and secure authentication in VANETs. Journal of Information Security and Applications, (Accepted for Publication)

de Bekker, P., Cremers, S., Norbu, S., Flynn, D. and Robu, V. (2023) Improving the efficiency of renewable energy assets by optimizing the matching of supply and demand using a smart battery scheduling algorithm. Energies, 16(5), 2425. (doi: 10.3390/en16052425)

Cremers, S., Robu, V., Zhang, P., Andoni, M. , Norbu, S. and Flynn, D. (2023) Efficient methods for approximating the Shapley value for asset sharing in energy communities. Applied Energy, 331, 120328. (doi: 10.1016/j.apenergy.2022.120328)

Tang, W., Blanche, J., Mitchell, D., Harper, S. and Flynn, D. (2023) Characterisation of composite materials for wind turbines using frequency modulated continuous wave sensing. Journal of Composites Science, 7(2), 75. (doi: 10.3390/jcs7020075)

Antony, J., Sony, M., McDermott, O., Jayaraman, R. and Flynn, D. (2023) An exploration of organizational readiness factors for Quality 4.0: an intercontinental study and future research directions. International Journal of Quality and Reliability Management, 40(2), pp. 582-606. (doi: 10.1108/IJQRM-10-2021-0357)

Gharavi, H., Yew, W. K. and Flynn, D. (2023) Smart local energy systems: optimal planning of stand-alone hybrid green power systems for on-line charging of electric vehicles. IEEE Access, 11, pp. 7398-7409. (doi: 10.1109/ACCESS.2023.3237326)

Lui, J., Sloan, W. , Paul, M. C. , Flynn, D. and You, S. (2022) Life cycle assessment of waste-to-hydrogen systems for fuel cell electric buses in Glasgow, Scotland. Bioresource Technology, 359, 127464. (doi: 10.1016/j.biortech.2022.127464) (PMID:35700893)

Dong, S., Cao, J., Flynn, D. and Fan, Z. (2022) Cybersecurity in smart local energy systems: requirements, challenges, and standards. Energy Informatics, 5, 9. (doi: 10.1186/s42162-022-00195-7)

Haugen, M. J., Flynn, D. , Greening, P., Tichler, J., Blythe, P. and Boies, A. M. (2022) Electrification versus hydrogen for UK road freight: conclusions from a systems analysis of transport energy transitions. Energy for Sustainable Development, 68, pp. 203-210. (doi: 10.1016/j.esd.2022.03.011)

Kirli, D., Couraud, B., Robu, V., Salgado-Bravo, M., Norbu, S., Andoni, M. , Antonopoulos, I., Negrete-Pincetic, M., Flynn, D. and Kiprakis, A. (2022) Smart contracts in energy systems: A systematic review of fundamental approaches and implementations. Renewable and Sustainable Energy Reviews, 158, 112013. (doi: 10.1016/j.rser.2021.112013)

Mitchell, D., Blanche, J., Harper, S., Lim, T., Gupta, R., Zaki, O., Tang, W., Robu, V., Watson, S. and Flynn, D. (2022) A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector. Energy and AI, 8, 100146. (doi: 10.1016/j.egyai.2022.100146)

Kirschbaum, L., Robu, V., Swingler, J. and Flynn, D. (2022) Prognostics for electromagnetic relays using deep learning. IEEE Access, 10, pp. 4861-4895. (doi: 10.1109/ACCESS.2022.3140645)

Couraud, B., Robu, V., Flynn, D. , Andoni, M. , Norbu, S. and Quinard, H. (2022) Real-time control of distributed batteries with blockchain-enabled market export commitments. IEEE Transactions on Sustainable Energy, 13(1), pp. 579-591. (doi: 10.1109/TSTE.2021.3121444)

Gupta, R., Mallikarjuna, D., Baines, L., Flynn, D. and Bucknall, D. (2022) Quantification of wear in glass reinforced epoxy resin composites using surface profilometry and assessing effect of surfacing film involvement. Materials Today: Proceedings, 57(Part 2), pp. 930-935. (doi: 10.1016/j.matpr.2022.03.061)

Norbu, S., Couraud, B., Robu, V., Andoni, M. and Flynn, D. (2021) Modeling economic sharing of joint assets in community energy projects under LV network constraints. IEEE Access, 9, pp. 112019-112042. (doi: 10.1109/ACCESS.2021.3103480)

Roman, D., Saxena, S., Robu, V., Pecht, M. and Flynn, D. (2021) Machine learning pipeline for battery state-of-health estimation. Nature Machine Intelligence, 3(5), pp. 447-456. (doi: 10.1038/s42256-021-00312-3)

Research Reports or Papers

Andoni, M. , Norbu, S., Couraud, B., Flynn, D. , Chen, S. and Robu, V. (2022) Decentralized Energy White Paper: Adaptive Local Energy Communities. Project Report. University of Glasgow. (doi: 10.36399/gla.pubs.278207).

Andoni, M. , Norbu, S., Couraud, B., Flynn, D. , Chen, S. and Robu, V. (2022) Democratising Energy: Placing citizens and communities at the heart of the energy revolution. Project Report. University of Glasgow. (doi: 10.36399/gla.pubs.278206).

Conference Proceedings

Manzoor, H. U., Khan, M. S., Khan, A. R., Ayaz, F., Flynn, D. , Imran, M. A. and Zoha, A. (2022) FedClamp: an Algorithm for Identification of Anomalous Client in Federated Learning. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9970909)

Odo, A., McKenna, S., Flynn, D. and Vorstius, J. (2022) Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers. In: 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 17-21 Jul 2022, ISBN 9781665408233 (doi: 10.1109/pesgm48719.2022.9916591)

This list was generated on Mon Mar 27 15:07:45 2023 BST.

Grants

See Professor Flynn's grants on the UKRI website.

Supervision

  • Khan, Ahsan Raza
    Federated Learning for Machine Learning Driven Application
  • Mitchell, Daniel
    A Symbiotic Cyber Physical Architecture for Scalable Multi-Robot Fleet Autonomy

Teaching

  • Energy Systems
  • Electrical Engineering
  • Smart System Integration

Additional information

Professor David Flynn is a Data and Digitalisation consultant for SP Energy Networks, and a TUV SuD Associate on autonomous systems and data analysis for critical infrastructure and systems.


a portrait of Professor David Flynn