Professor David Flynn

Professor in Cyber Physical Systems (Autonomous Systems & Connectivity)

Biography

David joined the University of Glasgow in 2022 as a Professor of Cyber Physical Systems. David is the Head of Research Division for Autonomous Systems and Connectivity. He is a co-founder of the Glasgow Centre for Sustainable Energy, and supports the leadership of 3 National EPSRC Research Hubs as well as the EPSRC Centre of Doctoral Training in Robotics and AI for Net Zero Infrastructure (RAINZ).

Professor Flynn has published over 250 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 an Honorary Professor at Heriot-Watt University, Eminent Overseas Professor of Nagasaki University and the 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
Digital Twinning

Publications

List by: Type | Date

Jump to: 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017

Number of items: 67.

2025

Sawilam, M., Kizilkaya, B. , Taha, A. , Flynn, D. , Imran, M. A. and Ansari, S. (2025) Impact of virtual power plants on grid stability and renewable energy integration in smart cities Using IoT. Energy Reports, 13, pp. 3312-3323. (doi: 10.1016/j.egyr.2025.02.048)

Khan, A. R., Al-Quraan, M. , Mohjazi, L. , Flynn, D. , Imran, M. A. and Zoha, A. (2025) Similarity-driven truncated aggregation framework for privacy-preserving short term load forecasting. Internet of Things, 31, 101530. (doi: 10.1016/j.iot.2025.101530)

Ding, S., Flynn, D. and Harvey, P. (2025) Automatic Generation of Digital Twins for Network Testing. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, UK, 20-23 July 2025, (Accepted for Publication)

You, H., Lou, C., Yang, J. and Flynn, D. (2025) Deep Learning based Real-Time Approach for Optimal Power Flow in Unbalanced Distribution Systems with High-Level EV Penetration. In: 2025 IEEE Conference on Artificial Intelligence (CAI 2025), Santa Clara, California, USA, 5-7 May 2025, (Accepted for Publication)

Qi, Y., You, H., Yu, J., Flynn, D. and Yang, J. (2025) A New Model of Energy Hubs and Multiobjective Optimisation for Future Netzero Distribution Networks. In: 22nd IET International Conference on AC and DC Power Transmission (ACDC Global 2025), Birmingham, UK, 17 - 19 March 2025, (Accepted for Publication)

An, Y., Mitchell, D. , Lathrop, J., Flynn, D. and Chung, S.-J. (2025) Motor Imagery Teleoperation of a Mobile Robot Using a Low-Cost Brain-Computer Interface for Multi-Day Validation. In: 2024 IEEE Conference on Telepresence, Pasadena, CA, USA, 16-17 Nov 2024, pp. 103-110. ISBN 9798331528249 (doi: 10.1109/Telepresence63209.2024.10841769)

Mitchell, D. , Harper, S., Nandakumar, S., Blanche, J., Lim, T., Imran, M. , Taha, A. and Flynn, D. (2025) Resilient Autonomy: A Digital Architecture for Symbiotic Multi-Robot Fleet Management. In: IEEE Wireless Communications and Networking Conference (WCNC2025), Milan, Italy, 24-27 Mar 2025, (Accepted for Publication)

Tang, W., Yan, S., Shawky, M. A. , Couraud, B., Imran, M. A. , Flynn, D. and Taha, A. (2025) Digitalising Social Housing via Cyber-Physical Systems and AI for Comfort, Health, and Transition to Net-Zero: A Holistic Overview. In: IEEE Wireless Communications and Networking Conference (WCNC2025), Milan, Italy, 24-27 Mar 2025, (Accepted for Publication)

Biakhmetov, B., Li, Y. , Zhao, Q. , Dostiyarov, A., Flynn, D. and You, S. (2025) Transportation and process modelling-assisted techno-economic assessment of resource recovery from non-recycled municipal plastic waste. Energy Conversion and Management, 324, 119273. (doi: 10.1016/j.enconman.2024.119273)

2024

Manzoor, H. U., Hussain, S. , Flynn, D. and Zoha, A. (2024) Centralised vs. decentralised federated load forecasting in smart buildings: who holds the key to adversarial attack robustness? Energy and Buildings, 324, 114871. (doi: 10.1016/j.enbuild.2024.114871)

Alipour Bonab, S. , Waite, T., Song, W. , Flynn, D. and Yazdani-Asrami, M. (2024) Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry. Energy Reports, 12, pp. 2270-2282. (doi: 10.1016/j.egyr.2024.08.028)

Nawaz, M. W., Zhang, W., Flynn, D. , Zhang, L. , Swash, R., Abbasi, Q. H. , Imran, M. A. and Popoola, O. (2024) 6G edge-networks and multi-UAV knowledge fusion for urban autonomous vehicles. Physical Communication, 67, 102479. (doi: 10.1016/j.phycom.2024.102479)

Manzoor, H. U., Shabbir, A., Chen, A., Flynn, D. and Zoha, A. (2024) A survey of security strategies in federated learning: defending models, data, and privacy. Future Internet, 16(10), 374. (doi: 10.3390/fi16100374)

Biakhmetov, B., Li, Y. , Zhao, Q. , Ok, Y. S., Dostiyarov, A., Park, Y.-K., Flynn, D. and You, S. (2024) Comparing carbon-saving potential of the pyrolysis of non-recycled municipal plastic waste: Influences of system scales and end products. Journal of Cleaner Production, 469, 143140. (doi: 10.1016/j.jclepro.2024.143140)

Baniqued, P. D. E. et al. (2024) Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments. Journal of Field Robotics, 41(5), pp. 1521-1540. (doi: 10.1002/rob.22329)

Tian, Z., Zhao, D. , Lin, Z. , Zhao, W., Flynn, D. , Jiang, Y., Tian, D., Zhang, Y. and Sun, Y. (2024) Efficient and balanced exploration-driven decision making for autonomous racing using local information. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2024.3432713) (Early Online Publication)

Yan, S., Imran, M. A. , Flynn, D. and Taha, A. (2024) Architecting Internet-of-Things-Enabled Digital Twins: An Evaluation Framework. In: 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada, 10-13 November 2024, (Accepted for Publication)

Zhen, T., Zhao, D. , Lin, Z. , Flynn, D. , Zhao, W. and Tian, D. (2024) Balanced Reward-inspired Reinforcement Learning for Autonomous Vehicle Racing. In: 6th Annual Learning for Dynamics & Control Conference (L4DC 2024), Oxford, 15-17 July 2024, pp. 628-640.

Shawky, M. A. , Shah, S. T. , Abdrabou, M., Usman, M., Abbasi, Q. H. , Flynn, D. , Imran, M. A. , Ansari, S. and Taha, A. (2024) How secure are our roads? An in-depth review of authentication in vehicular communications. Vehicular Communications, 47, 100784. (doi: 10.1016/j.vehcom.2024.100784)

Ali, S., Bogarra, S., Riaz, M. N., Phyo, P. P., Flynn, D. and Taha, A. (2024) From time-series to hybrid models: advancements in short-term load forecasting embracing smart grid paradigm. Applied Sciences, 14(11), 4442. (doi: 10.3390/app14114442)

Blanche, J., Mitchell, D. , Shang, J. , Flynn, D. , Pavuluri, S. and Desmulliez, M. (2024) Dynamic analysis of geomaterials using microwave sensing. Scientific Reports, 14, 7112. (doi: 10.1038/s41598-024-57653-3) (PMID:38532052) (PMCID:PMC10965938)

Huang, H., Poor, H. V., Flynn, D. and Al-Muhaini, M. (2024) Understanding a Power Grid’s Cyber-Physical Interdependence Through Higher-order Motifs. In: 2024 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 19-22 Feb 2024, ISBN 9798350313604 (doi: 10.1109/isgt59692.2024.10454228)

Chirayil Nandakumar, S., Mitchell, D. , Erden, M. S., Flynn, D. and Lim, T. (2024) Anomaly detection methods in autonomous robotic missions. Sensors, 24(4), 1330. (doi: 10.3390/s24041330) (PMID:38400491) (PMCID:PMC10892279)

Frusque, G., Mitchell, D. , Blanche, J., Flynn, D. and Fink, O. (2024) Non-contact sensing for anomaly detection in wind turbine blades: a focus-SVDD with complex-valued auto-encoder approach. Mechanical Systems and Signal Processing, 208, 111022. (doi: 10.1016/j.ymssp.2023.111022)

Zhang, Y., Robu, V., Cremers, S., Norbu, S., Couraud, B., Andoni, M. , Flynn, D. and Poor, H. V. (2024) Modelling the formation of peer-to-peer trading coalitions and prosumer participation incentives in transactive energy communities. Applied Energy, 355, 122173. (doi: 10.1016/j.apenergy.2023.122173)

Couraud, B., Barre, P.-J., Pennucci, R., Rozier, Y., Andoni, M. , Norbu, S., Franquet, E. and Flynn, D. (2024) Collecting French Smart Meter Data for Residential Flexibility. In: IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2023), Grenoble, France, 23-26 October 2023, ISBN 9798350396782 (doi: 10.1109/ISGTEUROPE56780.2023.10408704)

Zhao, X., Gerasimou, S., Calinescu, R., Imrie, C., Robu, V. and Flynn, D. (2024) Bayesian learning for the robust verification of autonomous robots. Communications Engineering, 3, 18. (doi: 10.1038/s44172-024-00162-y)

Milne, G. , Flynn, D. and Wessels, B. (2024) Equity in a sustainable energy transition: the importance of people and place. Briefing Report. [Research Reports or Papers]

2023

Mitchell, D. et al. (2023) Lessons learned: symbiotic autonomous robot ecosystem for nuclear environments. IET Cyber-Systems and Robotics, 5(4), e12103. (doi: 10.1049/csy2.12103)

Tang, W., Brown, K., Mitchell, D. , Blanche, J. and Flynn, D. (2023) Subsea power cable health management using machine learning analysis of low frequency wide band sonar data. Energies, 16(17), 6172. (doi: 10.3390/en16176172)

Couraud, B., Andoni, M. , Robu, V., Norbu, S., Chen, S. and Flynn, D. (2023) Responsive FLEXibility: a smart local energy system. Renewable and Sustainable Energy Reviews, 182, 113343. (doi: 10.1016/j.rser.2023.113343)

Blanche, J., Mitchell, D. , West, A., Harper, S., Groves, K., Lennox, B., Watson, S. and Flynn, D. (2023) Microwave Sensing for Avoidance of High-Risk Ground Conditions for Mobile Robots. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189266)

Harper, S. T., Mitchell, D. , Nandakumar, S. C., Blanche, J., Lim, T. and Flynn, D. (2023) Addressing Non-Intervention Challenges via Resilient Robotics Utilizing a Digital Twin. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-8. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189310)

Mitchell, D. , Blanche, J., Harper, S., Lim, T. and Flynn, D. (2023) Microwave Foresight Sensing for Safety Compliance in Autonomous Operations. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189296)

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, 74, 103476. (doi: 10.1016/j.jisa.2023.103476)

Manzoor, H. U., Khan, A. R., Flynn, D. , Alam, M. M., Akram, M., Imran, M. A. and Zoha, A. (2023) FedBranched: Leveraging federated learning for anomaly-aware load forecasting in energy networks. Sensors, 23(7), 3570. (doi: 10.3390/s23073570)

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)

Mitchell, D. , Blanche, J., Desmulliez, M., Pavuluri, S. and Flynn, D. (2022) Ground Based Inspection for Overhead Transmission Line Sag. In: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, United Kingdom, 24-26 October 2022, pp. 1-4. ISBN 9781665488235 (doi: 10.1109/icecs202256217.2022.9971028)

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. [Research Reports or Papers]

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. [Research Reports or Papers]

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

Mitchell, D. , Blanche, J., Zaki, O., Roe, J., Kong, L., Harper, S., Robu, V., Lim, T. and Flynn, D. (2021) Symbiotic System of Systems design for safe and resilient autonomous robotics in offshore wind farms. IEEE Access, 9, pp. 141421-141452. (doi: 10.1109/ACCESS.2021.3117727)

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)

2020

Couraud, B., Norbu, S., Andoni, M. , Robu, V., Gharavi, H. and Flynn, D. (2020) Optimal Residential Battery Scheduling with Asset Lifespan Consideration. In: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), The Hague, Netherlands, 26-28 October 2020, pp. 630-634. ISBN 9781728171005 (doi: 10.1109/ISGT-Europe47291.2020.9248889)

Andoni, M. , Robu, V., Früh, W.-G. and Flynn, D. (2020) Strategic Decision-making for Power Network Investments with Distributed Renewable Generation. In: 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), Auckland, New Zealand, 9-13 May 2020, pp. 52-60. ISBN 9781450375184

2019

McCallum, P., Jenkins, D. P., Peacock, A. D., Patidar, S., Andoni, M. , Flynn, D. and Robu, V. (2019) A multi-sectoral approach to modelling community energy demand of the built environment. Energy Policy, 132, pp. 865-875. (doi: 10.1016/j.enpol.2019.06.041)

Andoni, M. , Robu, V., Flynn, D. , Abram, S., Geach, D., Jenkins, D., McCallum, P. and Peacock, A. (2019) Blockchain technology in the energy sector: a systematic review of challenges and opportunities. Renewable and Sustainable Energy Reviews, 100, pp. 143-174. (doi: 10.1016/j.rser.2018.10.014)

2018

Andoni, M. , Robu, V., Flynn, D. and Friüh, W.-G. (2018) Gibbs Sampling for Game-Theoretic Modeling of Private Network Upgrades with Distributed Generation. In: 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, Sarajevo, Bosnia and Herzegovina, 21-25 Oct 2018, ISBN 9781538645055 (doi: 10.1109/ISGTEurope.2018.8571545)

McCallum, P., Patidar, S., Jenkins, D., Peacock, A., Robu, V., Andoni, M. and Flynn, D. (2018) The Use of Demand Modelling for Community Energy Analysis. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 27-30 May 2018, ISBN 9781538648810 (doi: 10.1109/ISCAS.2018.8351797)

Tang, W., Andoni, M. , Robu, V. and Flynn, D. (2018) Accurately Forecasting the Health of Energy System Assets. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 27-30 May 2018, ISBN 9781538648810 (doi: 10.1109/ISCAS.2018.8351842)

2017

Andoni, M. , Tang, W., Robu, V. and Flynn, D. (2017) Data Analysis of Battery Storage Systems. In: 24th International Conference & Exhibition on Electricity Distribution (CIRED), Glasgow, UK, 12-15 Jun 2017, pp. 96-99. (doi: 10.1049/oap-cired.2017.0657)

Andoni, M. , Robu, V., Früh, W.-G. and Flynn, D. (2017) Game-theoretic modeling of curtailment rules and network investments with distributed generation. Applied Energy, 201, pp. 174-187. (doi: 10.1016/j.apenergy.2017.05.035)

Andoni, M. , Robu, V. and Flynn, D. (2017) Blockchains: Crypto-control your own energy supply. Nature, 548(7666), p. 158. (doi: 10.1038/548158b)

This list was generated on Fri Apr 25 18:06:26 2025 BST.

Jump to: Articles | Research Reports or Papers | Conference Proceedings

Number of items: 67.

Articles

Mitchell, D. et al. (2023) Lessons learned: symbiotic autonomous robot ecosystem for nuclear environments. IET Cyber-Systems and Robotics, 5(4), e12103. (doi: 10.1049/csy2.12103)

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)

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)

Andoni, M. , Robu, V. and Flynn, D. (2017) Blockchains: Crypto-control your own energy supply. Nature, 548(7666), p. 158. (doi: 10.1038/548158b)

Research Reports or Papers

Milne, G. , Flynn, D. and Wessels, B. (2024) Equity in a sustainable energy transition: the importance of people and place. Briefing Report. [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. [Research Reports or Papers]

Conference Proceedings

This list was generated on Fri Apr 25 18:06:26 2025 BST.

Grants

See Professor Flynn's grants on: the UKRI website

Supervision

Jiang, Yansong
Interpretability of Object Recognition in Autonomous Driving
Kanugrahan, Satria Putra
Cyber-Physical Energy Systems: Social-Techno-Economic Analysis of Nuclear Integration into Whole System Analysis
Qi, Yue
Multi-objective Optimisation of Multi-Energy Systems (MES)
Rainey, Anthony
Virtualisation of Programmable Logic Controllers (PLCs) for Cyber Security Use Cases - Understanding the Art of the Possible
Ruan, Jingzhi
Traffic Optimisation with Efficient Planning
Xu, Xiangmin
Robust Machine Learning for Autonomous Systems
Yan, Xidong
Knowledge Based Eco-Driving for Connected and Automated Vehicles

Teaching

Energy Systems
Electrical Engineering
Smart System Integration

Additional information

Professor David Flynn is an independent board member of SP Energy Networks, and Cadent. Providing challenge and expert advice on data, digitalisation and cyber physical infrastructure. Prof. Flynn is also a TUV SuD Associate on autonomous systems and data analysis for critical infrastructure and systems.

a portrait of Professor David Flynn

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