YANNIS SPYRIDIS


PhD Researcher - Software Engineer

About

Yannis Spyridis is a dedicated researcher with a Ph.D from the University of Sheffield, specialising in autonomous drone control. He has actively been involved in multiple European research projects, supported by the Horizon 2020 programme. His primary research focuses on deep learning, deep reinforcement learning, and multi-agent optimisation.

In addition to his academic pursuits, he has extensive experience as a software engineer, specialising in both backend and frontend development, REST API design, and data analysis and visualisation. He has a strong track record of successfully applying Python to develop user-friendly web applications and build AI solutions, making valuable contributions to data-driven projects.

He is currently open for work.

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, 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.