YANNIS SPYRIDIS


Apllied AI Researcher and Engineer

About

Yannis Spyridis is an Applied AI Researcher and Engineer with a PhD from the University of Sheffield. His work focuses on building and evaluating intelligent systems for real-world environments, with experience across multi-agent systems, reinforcement learning, and AI-enabled decision support. His work spans both academic research and applied programmes within large European and UK research projects.

Alongside research, he has strong hands-on experience in developing production-oriented AI systems, including Python backends, REST APIs, and data pipelines. His interests lie in bridging the gap between research prototypes and deployable AI systems that can operate in real-world settings. His recent work is with generative AI and LLM-based systems, with an emphasis on reliability, and agentic workflows.



He is currently working as a full-time lecturer in Computer Science and Artificial Intelligence at Kingston University London.

Portfolio

NLP Interface with XAI

Smart Grid Dashboard

Scientific Publications

International peer-reviewed Journals

  • A. D. Bandy, Y. Spyridis, B. Villarini and Vasileios Argyriou, "Intraclass Clustering-Based CNN Approach for Detection of Malignant Melanoma," Sensors, 2023, 23, 926, doi: 10.3390/s23020926.
  • P. G. Radoglou, P. Sarigiannidis, C. Dalamagkas, Y. Spyridis, T. Lagkas, et al., "SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture," Digital, 2021, 1, no. 4, doi: 10.3390/digital1040013.
  • Y. Spyridis, T. Lagkas, P. Sarigiannidis, V. Argyriou, A. Sarigiannidis, G. Eleftherakis, J. Zhang, "Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks," Sensors 2021, 21, 3936, doi: 10.3390/s21113936.
  • P. G. Radoglou, P. Sarigiannidis, E. Iturbe, E. Rios, S. Martinez, A. Sarigiannidis, G. Efstathopoulos, Y. Spyridis, A. Sesis, et al., "SPEAR SIEM: A Security Information and Event Management System for the Smart Grid," Computer Networks, 2021, doi: 10.1016/j.comnet.2021.108008.
  • Z. Sun, Y. Spyridis, T. Lagkas, A. Sesis, G. Efstathopoulos, P. Sarigiannidis, "End-to-End Deep Graph Convolutional Neural Network Approach for Intentional Islanding in Power Systems Considering Load-Generation Balance," Sensors 2021, 21, 1650, doi: 10.3390/s21051650.
  • Y. Spyridis, T. Lagkas, P. Sarigiannidis, J. Zhang, "Modelling and simulation of a new cooperative algorithm for UAV swarm coordination in mobile RF target tracking," Simulation Modelling Practice and Theory, Volume 107, 2021, 102232, ISSN 1569-190X, doi: 10.1016/j.simpat.2020.102232.

International peer-reviewed Conference Proceedings

  • Y. Spyridis, V. Argyriou, A. Sarigiannidis, P. Radoglou, P. Sarigiannidis, "Autonomous AI-enabled Industrial Sorting Pipeline for Advanced Textile Recycling", 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Abu Dhabi, United Arab Emirates, IEEE, 2024
  • Y. Spyridis, JP. Younes, H. Deeb, V. Argyriou, "Empowering Prior to Court Legal Analysis: A Transparent and Accessible Dataset for Defensive Statement Classification and Interpretation", 2024 35th Conference of Open Innovations Association (FRUCT), Tampere, Finland, 2024, pp. 737-743, IEEE, 2024, doi: 10.23919/FRUCT61870.2024.10516405.
  • Y. Spyridis, A. Gkelias, V. Argyriou, "Variational Quantum Approach for the Multiple Traveling Salesman Problem Optimisation", 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Paphos, Cyprus, 2023, pp. 354-358. IEEE, 2023, doi: 10.1109/DCOSS-IoT58021.2023.00064.
  • G. M. Rajegowda, Y. Spyridis, B. Villarini, V. Argyriou, "An AI-Assisted Skincare Routine Recommendation System in XR", 7th International Conference on Artificial Intelligence and Virtual Reality (AIVR2023), Kumamoto, Japan, Springer, 2023
  • A. Sesis, I. Siniosoglou, Y. Spyridis, et al., "A Robust Deep Learning Architecture for FireFighter PPEs Detection", 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), Yokohama, Japan, 2022, pp. 1-6, doi: 10.1109/WF-IoT54382.2022.10152263.
  • O. Peretti, Y. Spyridis, et al., "Augmented reality training, command and control framework for first responders," 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Ioannina, Greece, 2022, pp. 1-5, doi: 10.1109/SEEDA-CECNSM57760.2022.9932966.
  • H. Arregui, E. Irigoyen, I. Cejudo, S. Simonsen, D. Ribar, M. A. Kourtis, Y. Spyridis, et al., "An Augmented Reality Framework for First Responders: the RESPOND-A project approach," 2022 Panhellenic Conference on Electronics & Telecommunications (PACET), Tripolis, Greece, 2022, pp. 1-6 doi: 10.1109/PACET56979.2022.9976376.
  • Z. Sun, Y. Spyridis, A. Sesis, G. Efstathopoulos, E. Grigoriou, T. Lagkas, P. Sarigiannidis, "Intentional Islanding of Power Systems Through Self-Embedding Learning," 2021 IEEE Globecom Workshops (GC Wkshps), 2021, pp. 1-6, doi: 10.1109/GCWkshps52748.2021.9682069.
  • I. Siniosoglou, P. Sarigiannidis, Y. Spyridis, A. Khadka, G. Efstathopoulos, T. Lagkas, "Synthetic Traffic Signs Dataset for Traffic Sign Detection & Recognition In Distributed Smart Systems," 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2021, pp. 302-308, doi: 10.1109/DCOSS52077.2021.00056.
  • O. Peretti, Y. Spyridis, A. Sesis, G. Efstathopoulos, "Gamified First Responder Training Solution in Virtual Reality," 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2021, pp. 295-301, doi: 10.1109/DCOSS52077.2021.00055.
  • P. S. Paradell, Y. Spyridis, A. Colet, A. Ivanova, J. L. Domínguez – García, A. Sesis, G. Efstathopoulos, "Increasing resilience of power systems using intentional islanding; a comparison of Binary genetic algorithm and deep learning based methods," 2021 IEEE International Conference on Cyber Security and Resilience (CSR), 2021, pp. 491-496, doi: 10.1109/CSR51186.2021.9527918.
  • Y. Spyridis, T. Lagkas, P. Sarigiannidis and J. Zhang, "Rule-based Autonomous Tracking of RF Transmitter Using a UAV Swarm," 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Porto, Portugal, 2020, pp. 1-3, doi: 10.1109/CSNDSP49049.2020.9249591.

Research Projects

SPEAR project logo

SPEAR: Secure and private smart grid

The project designed privacy-preserving and secure AI-driven data infrastructures for next-generation smart energy grids.

SDN-μSense project logo

SDN - Microgrid resilient electrical energy system

The project developed resilient microgrid control and monitoring systems, including AI-supported mechanisms for reliable local energy networks.

RESPOND-A project logo

RESPOND-A - Next-generation equipment tools and mission-critical strategies for first responders

The project developed AI-enabled decision support and situational awareness tools for emergency response operations.

RAIDO project logo

RAIDO - Reliable AI and data optimisation

The project aims to deliver reliable AI optimisation pipelines for forecasting, data enrichment, and decision-making towards green AI.