Maaita Jamal-Odysseas
Systems with hidden attractors are called dynamical systems that are studied in regions far from equilibrium points. Hidden attractors are a modern field of research with great prospects. In our research we intend to expand the study of hidden attractions in three main directions: 1. Use of analytical methods. 2. Systems of higher dimensions. 3. Applications in mechanical systems and new areas of natural problems.
Thomas Kotoulas
We study the dynamics of Kuiper—belt objects which are located in exterior mean motion resonances with Neptune and they have been observed at very high inclination (i>90°). The basic model is the restricted 3-body problem. We find planar and three—dimensional retrograde periodic orbits and study their stability type. We shall produce dynamical stability maps in the diagrams a—e or i—e in order to study the phase space structure of the above resonances. Our survey will be continued to the asteroid belt.
Panagiotis Iosif
Ανάλυση δεδομένων για κυματομορφές από συγχωνεύσεις διπλών συστημάτων αστέρων νετρονίων
Karakatsanis Konstantinos
Φαινόμενα πυρηνικής δομής και πυρηνικής αστροφυσικής με τη θεωρία σχετικιστικών συναρτησοειδών ενεργειακής πυκνότητας
Filothodoros Evangelos
In this research proposal, four clear and timely questions / problems have been set that will lead us to new directions. They are challenges from a mathematical point of view, as well as from a physical point in directions related to Physics of higher dimensions at finite temperatures, Crystallography issues about hyperbolic crystals and radiation scattering theories by introducing a Generalized Bragg Law and mathematical innovations that will help us to understand the properties of Clausen and Bloch-Wigner-Ramakrishnan functions.
Iosifidis Damianos
Μετρικά-Αφινική Βαρύτητα και Κοσμολογία
Chrysoula Betsou
During this research, the concentrations of trace elements and radionuclides in mosses in the region of West Macedonia are studied. More specifically, mosses are placed in moss bags close to the lignite power plants in the region of West Macedonia, and the levels of trace elements and radionuclides are determined using nuclear methods (NAA, gamma spectrometry).
Ioanna Sfampa
Εφαρμογή σύγχρονων υλικών αποκαταστατικής οδοντιατρικής ως προσωπικών δοσιμέτρων ιοντιζουσών ακτινοβολιών
Georgios Katsianis
Κβαντικές Ανωμαλίες σε Σύμμορφες Θεωρίες Πεδίου
Polychronis Koliogiannis-Koutmiridis
Study of microparticle composition and the existence of exotic matter in neutron stars
Ganatsiou Alexandra
Μελέτη νανοδομών και διεπιφανειών σε υλικά τεχνολογίας με μεθόδους ηλεκτρονικής μικροσκοπίας, με έμφαση στα υλικά οπτοηλεκτρονικών (νιτρίδια) και θερμοηλεκτρικών εφαρμογών
Papadopoulou Ilektra
Μελέτη σύνθετων υλικών
Evangelia Delli
Μελέτη υλικών με τεχνικές ακτινών-Χ και θερμικής ανάλυσης
Lambrini Malletzidou
Απεικονιστικές τεχνικές φασματοσκοπίας υπερύθρου: Εφαρμογή στον χαρακτηρισμό υλικών με έμφαση σε δείγματα από αντικείμενα πολιτιστικής κληρονομιάς
Anna Koumara
Ενίσχυση μέσω της εκπαιδευτικής ρομποτικής της διδασκαλίας με διερεύνηση βασικών εννοιών της μηχανικής στη Δευτεροβάθμια Εκπαίδευση
Theodoros Pavloudis
Υπολογιστική αναζήτηση ημιαγωγικών υλικών βασισμένων σε στοιχεία σε αφθονία
Stefanos Giaremis
Υπολογιστική ανάλυση ιδιοτήτων μαγνητικών υλικών σε ατομιστική κλίμακα
Eleni Chatzikyriakou
In this project, we are studying the dynamical lattice properties of 2D ferroelectric and topological materials, such as phonon effects, as well as electronic transport and optical conductivity. We are using high throughput techniques for handling the number of simulations. Our results open the route to the use of Machine Learning methods in ferroelectric materials research, a field that has been explored very little.
Sotirios Sotiroudis
Machine learning-based methods for the prediction of propagation path loss in urban environments are deployed. Tabular data, as well as footprints of the built-up areas, are used as inputs. Image processing and Deep Learning techniques are applied. Moreover, effective combination of the standalone prediction models is being investigated through the implementation of Ensemble Learning methods.
Stathokostopoulos Dimitrios
Σύνθεση και χαρακτηρισμός καινοτόμων νανοδομημένων θερμοηλεκτρικών υλικών με βιομηχανικού τύπου διεργασίες
Voudouri Kalliopi-Artemis
Aim of this work is to provide a detailed characterization of the aerosol cloud interactions above Eastern Mediterranean as well as the effect of the different atmospheric conditions.
The synergistic information of groundbased and satellite remote sensing instruments will provide a full aerosol characterization above the study area and a better understanding of the aerosol-cloud interactions in the field of heterogeneous ice formation.
Ioannis Kafetzis
Σχεδίαση χαοτικών συστημάτων και κβαντικών εκδοχών τους για ανάπτυξη μεθόδων κρυπτογραφίας και ασφαλούς μετάδοσης σημάτων
Dimitrios Karfaridis
Ανάπτυξη, δομικός, και μαγνητικός χαρακτηρισμός νανοδομημένων υλικών
Nikolaos Pliatsikas
Πλασμονικά Νανοσωματίδια για εφαρμογές στο βιολογικό παράθυρο του κοντινού υπέρυθρου
Georgia Pouroutzidou
Copper and Cerium or Nanostructured ceria coatings on titanium with antibacterial and anti-inflammatory properties
Maria Elissavet Koukouli
The main aim of this research is to develop the tools required to analyse high spatiotemporal resolution observations of atmospheric constituents sensed by instruments on a geostationary orbit, as well as to perform quality assessment and validation of these observations. Αir quality monitoring from geostationary orbits is a very recent development in the field rendering the extensive validation and analysis of these observations paramount. Since the Sentinel-4 UVNS instrument, which will cover the European domain, is due for launch in 2024, this study focused on the development of the necessary algorithms for the GEMS/KOMPSAT-B instrument, which observes the Asian domain from 2020 onwards.
Georgios Koudouridis
Multi-Objective Optimization in Massive MIMO Networks
Bisbas Thomas
The goal of this project is to study the full carbon cycle in relation to the atomic-to-molecular transition in different environments of the interstellar medium and understand its properties in the low- and high- redshift Universe. The main objective is to fully investigate the utilities of the ionized and atomic carbon as accurate and alternative tracers of the molecular gas in the wider context of extragalactic observations. We will also build an online interactive platform and a publicly available database consisting of the outputs of this project.
Kyriaki Antoniadou
Hitherto unprecedented detections of exoplanets have been triggered by missions and ground based telescopes. Dynamical studies can help ascertain information regarding the neighbourhood of exoplanets. In particular, the periodic orbits can lead to the identification of the regular domains in the phase space, where the long-term stability and hence, the survival of exoplanets can be guaranteed. Guided by the stable periodic orbits, we unveil such boundaries via maps of dynamical stability and either validate or constrain the observational data, which are oftentimes given with large deviations.
Pnigouras Pantelis
Our main objective is to study how neutron star oscillations and tidal effects in neutron star binaries influence the gravitational-wave emission and the neutron star evolution, in order to obtain information about the (otherwise inaccessible) neutron star interior, i.e., about the dense nuclear matter equation of state. The role of nonlinear interactions among stellar oscillation modes and their implications are the main focus of this study.
Chatzikyriakou Eleni
Χαρακτηριστικά συσκευών από πρώτες αρχές με πολλαπλούς βαθμούς ελευθερίας του ηλεκτρονίου
Filintoglou Kyriakos
Two- dimensional (2D) materials (graphene, TMDCs) have attracted attention recently due their unique physical properties. Doping and mechanical strain in 2D materials is a strategy to precisely control their electronic and optical properties, without causing any induced structural disorder. The sinngle and few layer 2D materials are grown by CVD method and are mainly investigated by Raman spectroscopy.
Makridis Antonios
Measurement of specific loss power (SLP) of magnetic nanoparticles is crucial to assert the heating potential in magnetic hyperthermia. In this work, we propose a step by step standardization protocol, starting from definition and recording of potential uncertainty and error sources, present during a typical magnetic hyperthermia experimental protocol. The error of each specific parameter is estimated and translated to ultimate heating efficiency evaluation. All parameters involved in the heating efficiency evaluation and their associated uncertainties analysis presented in this work, are included in a standardization protocol, a handy guideline for determining accurate, reliable and reproducible SLP values, thus adequately evaluating its impact in potential bioapplications.
Eirini Myrovali
In this work we address Magnetic Particle Hyperthermia, an alternative cancer treatment, based on the heat released by magnetic nanoparticles whenever subjected to Alternating Magnetic Field. The samples are prepared by coprecipitation aqueous method, while a further post-synthetic step includes their 3D assembly in linear chains under the guidance of a bias static field inside an agarose matrix that mimic tissue features as a tool to optimize their heating efficiency
Evangelia Tarani
Focusing on the development of additive-reinforced composites is undoubtedly a particularly attractive prospect for manufacturing multifunctional materials. The combined exploitation of the advantages of the individual elements of composite materials is expected to lead to the creation of materials with targeted properties and excellent performances, giving them a high added value, as requested by both research and industry on a global scale. Therefore, this thesis aims to measure, understand, model, and predict the effect of realistic processing conditions on polymer matrix properties.
Konstantakos Vasileios
This research focuses on the study and implementation of instrumentation systems for earthquake monitoring, with modern commercial sensors, and modern instrumentation algorithms. Individual goals consist the optimal acquisition of linear acceleration characterized by low signal-to-noise ratio and low frequency and the development of an instrumentation system with modern power consumption behavior and with advanced embedded processing, storage and communication functionality.
Maria Elissavet Koukouli
The research proposal by Dr Maria Elissavet Koukouli aims to optimize the current capabilities of existing air quality forecasting models by using satellite atmospheric monitoring data to provide regularly updated emission inventories for air pollutants over Europe.
Moysis Lazaros
Κατασκευή Παρατηρητή για Ιδιόμορφα Συστήματα με Εφαρμογές στον Συγχρονισμό και στην Ασφάλεια Επικοινωνιών με Χρήση Χαοτικών Συστημάτων
Boursianis Achilleas
The objective of this postdoctoral research is the study and design of antennas operating in mobile and wireless communication networks for RF energy harvesting applications. These antennas should meet several constraints regarding the reflection coefficient, input impedance, realized gain, size, and complexity. The antenna systems that will be designed in this research will operate in both outdoor and indoor environments.
The milestones of this postdoctoral research include the design of a) an antenna system operating in several frequency bands of the outdoor environment for RF energy harvesting applications and b) an antenna system operating in the Wi-Fi frequency band of the indoor environment for RF energy harvesting applications.
Siomos Nikolaos
The current research is focused on developing techniques and algorithms
that can be applied for the automated and continuous near real time
monitoring of aerosol species profiles (e.g. dust, smoke, volcanic
ash), trace gas profiles (e.g. O3, NO2, HCHO) and cloud layers based on
the synergy of remote sensing instruments.
Symeonidis Konstantinos
The objective of this study is the synthesis of inorganic nanomaterials by using raw materials originating from industrial by-products (mining and manufacture processes e.g. dolomitic marbles, wood residuals, whitestone, dyes, adsorbents) and their incorporation in added value innovative products oriented to gas or water treatment as well as to the direct feeding of large construction formation.
Mourtzios Christos
The proposed postdoctoral research aligned with the evolution of Wireless Energy Harvesting (W.E.Η.) technology, will focus on the synthesis of innovative RF energy harvesting antenna systems ("rectenna"), which will meet the required specifications, in order to power wireless sensors. The rectenna will include a novel antenna, a rectifier and a custom matching network.