ACG 150

Spyros Lavdas, PhD

Instructor at Deree - ACG; Lecturer at Neapolis University Pafos

SPYROS LAVDAS graduated in electrical and computer engineering from the Faculty of Engineering, Democritus University of Thrace (DUTH), Xanthi, Greece, in 2009, the Postgraduate Diploma degree in computational electromagnetics from the Department of Computer Systems and Satellite Telecommunications, DUTH, in 2012, and the Ph.D. degree in silicon photonics from the Department of Electronic and Electrical Engineering, University College London (UCL), in 2015. During his diploma and MSc dissertations, he developed an electromagnetic software tool for the analysis of nanostructures loaded with either isotropic or anisotropic materials. The set-up and the solution of eigenvalue problems through Finite Difference in Frequency Domain (FDFD) was the mathematical core of the former research. Besides, his PhD research was also oriented towards the development of a simulation tool for analyzing optical pulse propagation through silicon photonic nanowires and photonic crystal waveguides utilizing the split-step Fourier method. Throughout his PhD a comprehensive and rigorous theoretical model was developed in order to study all the linear and nonlinear phenomena that emerged from the propagation of optical pulses in silicon nano waveguides. Apart from his research during his studies, he has also participated in European Research Programs (V-smmart nano, FP7), where he elaborated on the study and analysis of scanning microwave microscope cantilever for imaging at nanoscale (SMM) through Finite Element Method (FEM). The main challenge of the former research project was the accurate calculation of transmitted, refracted and reflected signals located in thin multilayer substrates.  He has also worked at the Department of Research and Development of Integrated System Development company (ISD) in Athens. During his work in former RnD department, he participated in many European-funded programs for the development of aerospace applications. In particular, most of the programs were granted by the European Space Agency (ESA). The main focus of the ESA projects was oriented to the design and fabrication of printed circuit boards (PCBs) for high-frequency applications. The common challenge of the former research projects was the design and fabrication of state-of-the-art microwave circuits that were not vulnerable to interferences from undesired sources. In the same context, his additional research interests include the development of semi-analytical and analytical formulations for the analysis of helical nano-antennas for the optical frequency regime. A recent academic partnership with the Florida International University (FIU) has boosted this research. In this context, the collaboration with the National and Kapodistrian University of Athens has benefited the research in the design and analysis of beamformers in mmWave frequency bands for 5G and 6G cellular networks. From this perspective, he has also focused his research interests on the recent novel technology of Reconfigurable Intelligent Surfaces (RIS) implemented on mmWave massive  MIMO systems. In order to optimize a variety of electromagnetic problems, his research interests also include the implementation of neural networks into 5G and 6G applications. Apart from his research, he has academic experience teaching undergraduate and postgraduate students in the courses of microwaves, optical nonlinearities, data communications, computer networks, artificial intelligence and problem-solving methods. He is currently a lecturer at Neapolis University Pafos and instructor at Deree – ACG. His publications have more than 200 citations in the former research fields.


Most recent journal articles

  1. Lavdas, P. K. Gkonis, Z. Zinonos, P. Trakadas, L. Sarakis and K. Papadopoulos, “A Machine Learning Framework for Adaptive Beamforming in Massive MIMO Millimeter 5G Wave Multicellular Networks,” Accepted to be published 2023
  2. Lavdas, P. K. Gkonis, Z. Zinonos, P. Trakadas, L. Sarakis and K. Papadopoulos, “A Machine Learning Adaptive Beamforming Framework for 5G Millimeter Wave Massive MIMO Multicellular Networks,” in IEEE Access, vol. 10, pp. 91597-91609, 2022, doi: 10.1109/ACCESS.2022.3202640.
  3. Charilaou, S. Lavdas, Ala F. Khalifeh, V. Vasilliou and Z. Zinonos, “Firmware Update Using Multiple Gateways in LoRaWAN Networks”, Sensors, vol. 21, no.19,2021, doi: 10.3390/s21196488
  4. Lavdas, P. K. Gkonis, Z. Zinonos, P. Trakadas and L. Sarakis, “An Adaptive Hybrid Beamforming Approach for 5G-MIMO mmWave Wireless Cellular Networks,” in IEEE Access, vol. 9, pp. 127767-127778, 2021, doi: 10.1109/ACCESS.2021.3112514.
  5. Lavdas and N. C. Panoiu, “Theory of Pulsed Four-Wave-Mixing in One-dimensional Silicon Photonic Crystal Slab Waveguides,” Phys. Rev. B 93, 115435, 2016.

Most recent conference papers

  1. S. Lavdas, D. Sklavounos, N. Bakas, P. Gkonis, V. Goltsi and P. Siaperas, “A machine learning implementation to multiple sclerosis signal conduction through nervous system for decision support”, 2023 2nd International Rehabilitation Conference to be published
  2. Lavdas, D. Sklavounos, P. Gkonis, P. Siaperas and N. Bakas, “Identification of Multiple Sclerosis Signals Dependence on Patients’ Medical Conditions Through Stochastic Perturbation of Features in Five Machine Learning Models”, 2023 19th European Mediterranean & Middle Eastern Conference on Information Systems (EMCIS) Conference, vol. 464, doi:
  3. Lavdas, P. Gkonis, Z. Zinonos, P. Trakadas and L. Sarakis, ” Throughput Based Adaptive Beamforming in 5G Millimeter Wave Massive MIMO Cellular Networks via Machine Learning”, 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 2022, pp. 1-7, doi: 10.1109/VTC2022-Spring54318.2022.9860566.
  4. Lavdas, L. Zacharioudakis, A. Khalifeh and Z. Zinonos, “The Effect of Temperature and Humidity on Indoor LoRa Propagation Model,” 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), (2021), pp. 374-379, doi: 10.1109/DCOSS52077.2021.00066.
  5. S. Lavdas and C. Zekios, “Analytical Approximations for the Analysis of Helical Nano-Antennas,” 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), (2021), pp. 1-3, doi: 10.23919/URSIGASS51995.2021.9560578.