Smart Systems

Innovating systems to power a smarter, greener world

Staff

Publications

2025

Zhen, T., Zhao, D., Lin, Z., Zhao, W., Flynn, D., Tian, D., Sun, Y. (2025) Balanced exploration and attention-inspired decision making for autonomous driving. IEEE Transactions on Vehicular Technology,

Mitchell, D., Gu, Y., Blanche, J., Harper, S., Archibald, B., Sevegnani, M., Flynn, D. (2025) A cyber physical architecture for symbiotic multi-robot fleet management. Springer

Sawilam, M., Kizilkaya, B., Taha, A., Flynn, D., Imran, M. A., 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)

Sawilam, M., Kizilkaya, B., Flynn, D., Taha, A., Imran, M. A., Ansari, S. (2025) A Secure and Scalable Architecture for Virtual Power Plants Inspired by VPN Principles.

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

Lin, Z., Lan, J., Anagnostopoulos, C., Tian, Z., Flynn, D. (2025) Multi-Agent Monte Carlo Tree Search for Safe Decision Making at Unsignalized Intersections.

Ding, S., Flynn, D., Harvey, P. (2025) Automatic Generation of Digital Twins for Network Testing.

You, H., Lou, C., Yang, J., Flynn, D. (2025) Deep Learning based Real-Time Approach for Optimal Power Flow in Unbalanced Distribution Systems with High-Level EV Penetration.

Collington, K., Flynn, D., Pezaros, D., Gale, M., Deacon, A. (2025) Securing Critical National Infrastructure. ITNOW, 67, pp. 6-8. (doi: 10.1093/itnow/bwaf002)

Qi, Y., You, H., Yu, J., Flynn, D., Yang, J. (2025) A New Model of Energy Hubs and Multiobjective Optimisation for Future Netzero Distribution Networks.

An, Y., Mitchell, D., Lathrop, J., Flynn, D., Chung, S.-J. (2025) Motor Imagery Teleoperation of a Mobile Robot Using a Low-Cost Brain-Computer Interface for Multi-Day Validation. (doi: 10.1109/Telepresence63209.2024.10841769)

Tang, W., Yan, S., Shawky, M. A., Couraud, B., Imran, M. A., Flynn, D., Taha, A. (2025) Digitalising Social Housing via Cyber-Physical Systems and AI for Comfort, Health, and Transition to Net-Zero: A Holistic Overview.

Mitchell, D., Harper, S., Nandakumar, S., Blanche, J., Lim, T., Imran, M., Taha, A., Flynn, D. (2025) Resilient Autonomy: A Digital Architecture for Symbiotic Multi-Robot Fleet Management.

Biakhmetov, B., Li, Y., Zhao, Q., Dostiyarov, A., Flynn, D., 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, (doi: 10.1016/j.enconman.2024.119273)

2024

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

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

Alipour Bonab, S., Waite, T., Song, W., Flynn, D., 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)

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

Biakhmetov, B., Li, Y., Zhao, Q., Ok, Y. S., Dostiyarov, A., Park, Y.-K., Flynn, D., 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, (doi: 10.1016/j.jclepro.2024.143140)

Baniqued, P. D. E., Bremner, P., Sandison, M., Harper, S., Agrawal, S., Bolarinwa, J., Blanche, J., Jiang, Z., Johnson, T., Mitchell, D., Jose Lopez Pulgarin, E., West, A., Willis, M., Yao, K., Flynn, D., Giuliani, M., Groves, K., Lennox, B., Watson, S. (2024) Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments. Journal of Field Robotics, 41, pp. 1521-1540. (doi: 10.1002/rob.22329)

Tian, Z., Zhao, D., Lin, Z., Zhao, W., Flynn, D., Jiang, Y., Tian, D., Zhang, Y., 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)

Yan, S., Imran, M. A., Flynn, D., Taha, A. (2024) Architecting Internet-of-Things-Enabled Digital Twins: An Evaluation Framework.

Zhen, T., Zhao, D., Lin, Z., Flynn, D., Zhao, W., Tian, D. (2024) Balanced Reward-inspired Reinforcement Learning for Autonomous Vehicle Racing.

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

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

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

Huang, H., Poor, H. V., Flynn, D., Al-Muhaini, M. (2024) Understanding a Power Grid’s Cyber-Physical Interdependence Through Higher-order Motifs. (doi: 10.1109/isgt59692.2024.10454228)

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

Frusque, G., Mitchell, D., Blanche, J., Flynn, D., 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, (doi: 10.1016/j.ymssp.2023.111022)

Alexandre Pontes Pizzino, C., Romankevicius Costa, R., Mitchell, D., Amâncio Vargas, P. (2024) NeoSLAM: long-term SLAM using computational models of the brain. Sensors, 24, (doi: 10.3390/s24041143)

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

Couraud, B., Barre, P.-J., Pennucci, R., Rozier, Y., Andoni, M., Norbu, S., Franquet, E., Flynn, D. (2024) Collecting French Smart Meter Data for Residential Flexibility. (doi: 10.1109/ISGTEUROPE56780.2023.10408704)

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

Milne, G., Flynn, D., Wessels, B. (2024) Equity in a sustainable energy transition: the importance of people and place. Briefing Report. (doi: 10.36399/gla.pubs.317258)

2023

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

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

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

Harper, S. T., Mitchell, D., Nandakumar, S. C., Blanche, J., Lim, T., Flynn, D. (2023) Addressing Non-Intervention Challenges via Resilient Robotics Utilizing a Digital Twin. (doi: 10.1109/COINS57856.2023.10189310)

Mitchell, D., Blanche, J., Harper, S., Lim, T., Flynn, D. (2023) Microwave Foresight Sensing for Safety Compliance in Autonomous Operations. (doi: 10.1109/COINS57856.2023.10189296)

Blanche, J., Mitchell, D., West, A., Harper, S., Groves, K., Lennox, B., Watson, S., Flynn, D. (2023) Microwave Sensing for Avoidance of High-Risk Ground Conditions for Mobile Robots. (doi: 10.1109/COINS57856.2023.10189266)

Schwidtal, J.M., Piccini, P., Troncia, M., Chitchyan, R., Montakhabi, M., Francis, C., Gorbatcheva, A., Capper, T., Mustafa, M.A., Andoni, M., Robu, V., Bahloul, M., Scott, I.J., Mbavarira, T., España, J.M., Kiesling, L. (2023) Emerging business models in local energy markets: a systematic review of peer-to-peer, community self-consumption, and transactive energy models. Renewable and Sustainable Energy Reviews, 179, (doi: 10.1016/j.rser.2023.113273)

Shawky, M. A., Usman, M., Flynn, D., Imran, M. A., Abbasi, Q. H., Ansari, S., Taha, A. (2023) Blockchain-based secret key extraction for efficient and secure authentication in VANETs. Journal of Information Security and Applications, 74, (doi: 10.1016/j.jisa.2023.103476)

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

de Bekker, P., Cremers, S., Norbu, S., Flynn, D., 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, (doi: 10.3390/en16052425)

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

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

Antony, J., Sony, M., McDermott, O., Jayaraman, R., 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, pp. 582-606. (doi: 10.1108/IJQRM-10-2021-0357)

Gharavi, H., Yew, W. K., 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., Zoha, A. (2022) FedClamp: an Algorithm for Identification of Anomalous Client in Federated Learning. (doi: 10.1109/ICECS202256217.2022.9970909)

Mitchell, D., Blanche, J., Desmulliez, M., Pavuluri, S., Flynn, D. (2022) Ground Based Inspection for Overhead Transmission Line Sag. (doi: 10.1109/icecs202256217.2022.9971028)

Odo, A., McKenna, S., Flynn, D., Vorstius, J. (2022) Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers. (doi: 10.1109/pesgm48719.2022.9916591)

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

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

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

Capper, T., Gorbatcheva, A., Mustafa, M. A., Bahloul, M., Schwidtal, J. M., Chitchyan, R., Andoni, M., Robu, V., Montakhabi, M., Scott, I. J., Francis, C., Mbavarira, T., Espana, J. M., Kiesling, L. (2022) Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models. Renewable and Sustainable Energy Reviews, 162, (doi: 10.1016/j.rser.2022.112403)

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

Haugen, M. J., Flynn, D., Greening, P., Tichler, J., Blythe, P., 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., Kiprakis, A. (2022) Smart contracts in energy systems: A systematic review of fundamental approaches and implementations. Renewable and Sustainable Energy Reviews, 158, (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., Flynn, D. (2022) A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector. Energy and AI, 8, (doi: 10.1016/j.egyai.2022.100146)

Kirschbaum, L., Robu, V., Swingler, J., 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., Quinard, H. (2022) Real-time control of distributed batteries with blockchain-enabled market export commitments. IEEE Transactions on Sustainable Energy, 13, pp. 579-591. (doi: 10.1109/TSTE.2021.3121444)

Gupta, R., Mallikarjuna, D., Baines, L., Flynn, D., 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, 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., 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., 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., Flynn, D. (2021) Machine learning pipeline for battery state-of-health estimation. Nature Machine Intelligence, 3, pp. 447-456. (doi: 10.1038/s42256-021-00312-3)

Norbu, S., Couraud, B., Robu, V., Andoni, M., Flynn, D. (2021) Modelling the redistribution of benefits from joint investments in community energy projects. Applied Energy, 287, (doi: 10.1016/j.apenergy.2021.116575)

Andoni, M., Robu, V., Couraud, B., Fruh, W.-G., Norbu, S., Flynn, D. (2021) Analysis of strategic renewable energy, grid and storage capacity investments via Stackelberg-Cournot modelling. IEEE Access, 9, pp. 37752-37771. (doi: 10.1109/ACCESS.2021.3062981)

2020

Couraud, B., Norbu, S., Andoni, M., Robu, V., Gharavi, H., Flynn, D. (2020) Optimal Residential Battery Scheduling with Asset Lifespan Consideration. (doi: 10.1109/ISGT-Europe47291.2020.9248889)

Pumphrey, K., Walker, S. L., Andoni, M., Robu, V. (2020) Green hope or red herring? Examining consumer perceptions of peer-to-peer energy trading in the United Kingdom. Energy Research and Social Science, 68, (doi: 10.1016/j.erss.2020.101603)

Andoni, M., Robu, V., Früh, W.-G., Flynn, D. (2020) Strategic Decision-making for Power Network Investments with Distributed Renewable Generation.

2019

Hany Elgamal, A., Kocher-Oberlehner, G., Robu, V., Andoni, M. (2019) Optimization of a multiple-scale renewable energy-based virtual power plant in the UK. Applied Energy, 256, (doi: 10.1016/j.apenergy.2019.113973)

McCallum, P., Jenkins, D. P., Peacock, A. D., Patidar, S., Andoni, M., Flynn, D., 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., 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., Friüh, W.-G. (2018) Gibbs Sampling for Game-Theoretic Modeling of Private Network Upgrades with Distributed Generation. (doi: 10.1109/ISGTEurope.2018.8571545)

Tang, W., Andoni, M., Robu, V., Flynn, D. (2018) Accurately Forecasting the Health of Energy System Assets. (doi: 10.1109/ISCAS.2018.8351842)

McCallum, P., Patidar, S., Jenkins, D., Peacock, A., Robu, V., Andoni, M., Flynn, D. (2018) The Use of Demand Modelling for Community Energy Analysis. (doi: 10.1109/ISCAS.2018.8351797)

2017

Andoni, M., Tang, W., Robu, V., Flynn, D. (2017) Data Analysis of Battery Storage Systems. (doi: 10.1049/oap-cired.2017.0657)

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

Postgraduate research students

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The Smart Systems Research Cluster is at the forefront of designing and advancing Cyber Physical Systems (CPS) that tackle some of the world’s most urgent challenges — from climate change and the energy transition to the resilience of critical infrastructure and services like healthcare, transport and power.

Our research explores how technology, data, and engineering can work in harmony to create systems that are adaptive, intelligent, and capable of responding to complex and unpredictable environments.

By bridging engineering, data science, materials research and systems thinking, our work unlocks new capabilities in autonomous control, infrastructure resilience, and sustainability. We aim to not only solve technical problems, but to shape how society can better respond, adapt and thrive in a rapidly changing world.

Through interdisciplinary collaboration and challenge-led research we can deliver impactful solutions that benefit both society and the planet.

Our research

Resilient autonomy

  • Symbiotic Multi-Robot Fleets: We investigate how fleets of autonomous robots can operate cooperatively and reliably in dynamic, high-risk environments. Our work supports real-world applications in disaster response, offshore energy, and other mission-critical scenarios.

Energy transition

  • Cyber Physical Systems for Net Zero: To support a just and sustainable energy transition, we design CPS that integrate data, sensing, and control to create smarter, more resilient energy systems. Our whole-systems approach helps drive innovation across grids, renewables, and community-level energy infrastructures.

Fundamental systems understanding

  • We explore the building blocks of complex systems, from materials and sensors to system-scale behaviour. This includes research into how new technologies interact across different scales and lifecycles — crucial for engineering robust and efficient future systems.

 

Student projects

Each year the Smart Systems Research Cluster present a wide range of challenges to MSc and MEng students with the aims to help develop their interpersonal and Technical Skills. The students are given a real-world challenge and a technology to advance the state of the art and are closely supervised by our staff and PGRs along the duration of their project.

  • Visit our Youtube to find out more.

ICRA 2023: A Scalable Cyber Physical Architecture for Symbiotic Multi-Robot Fleet Autonomy