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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.
Panagiotis Iosif
Ανάλυση δεδομένων για κυματομορφές από συγχωνεύσεις διπλών συστημάτων αστέρων νετρονίων
Thomas Kotoulas
Το πρόβλημα των τεσσάρων σωμάτων («Ευθύδρομες και ανάδρομες» περιοδικές τροχιές): Εφαρμογή στη ζώνη αστεροειδών και σε πλανητικά συστήματα
Tzamal-Odysseas Maaita
Δυναμικά Συστήματα-Χαοτικοί Δείκτες
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
Eleftheria Ioannidou
The object of the study is the use of a natural radioactive tracer (7Be) to study and simulate the hydrodynamic behavior of artificial wetlands (constructed wetlands, CWs), which are an environmentally friendly method for the treatment of wastewater (industrial, urban and other). Simulation scenarios will be applied to theoretical and existing artificial wetland(s) in order to determine the optimal boundary conditions and available simulation codes that will yield the optimal artificial wetland decontamination technique.
Chrysovalantis Margaritis
Επιδράσεις στο σύνορο φλοιού-πυρήνα τάχιστα περιστρεφόμενων αστέρων νετρονίων
Eirini Kasimi
Αναζήτηση Νέας Φυσικής στον LHC με τον ανιχνευτή ATLAS
Evangelos Giantsos
The proposed research focuses on applications of the gauge/gravity duality. In particular, it examines how anisotropy and time evolution affect various physical quantities of the weakly coupled classical gravitational theory and how this translates into the language of the strongly coupled dual field theory. Specifically, it deals with the extraction of new supergravity solutions that exhibit anisotropy or/and temporal evolution and the calculation in them of the spectra of mesons and glueballs, the energy and angular momentum of a spinning meson and the entanglement entropy. It then proceeds to the interpretation of the extracted results, which provide information on the non-perturbative states and phase transitions of the dual gauge theory, as well as on the information flow and non-equilibrium thermodynamics of quantum systems in the limit of strong coupling.
Ganatsiou Alexandra
Μελέτη νανοδομών και διεπιφανειών σε υλικά τεχνολογίας με μεθόδους ηλεκτρονικής μικροσκοπίας, με έμφαση στα υλικά οπτοηλεκτρονικών (νιτρίδια) και θερμοηλεκτρικών εφαρμογών
Lambrini Malletzidou
Απεικονιστικές τεχνικές φασματοσκοπίας υπερύθρου: Εφαρμογή στον χαρακτηρισμό υλικών με έμφαση σε δείγματα από αντικείμενα πολιτιστικής κληρονομιάς
Evangelia Delli
Μελέτη υλικών με τεχνικές ακτινών-Χ και θερμικής ανάλυσης
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.
Despoina Tselekidou
Μελέτη υλικών και ιδιοτήτων για Οργανικές Διόδους Εκπομπής Φωτός
Stavros Koukioglou
The research will focus on developing the epistemological awareness of secondary school students and pre-service student-teachers, regarding Scientific Models. In this context, the use of an inquiry based Teaching Learning Sequence (T.L.S.) based on Scientific Models is recommended. Through the use of the T.L.S. the aspects of Scientific Models are expected to be developed. The activities integrated in the T.L.S. include real and virtual experiments using Information and Communication Technologies (I.C.T.). The assessment of subjects’ epistemological awareness about the aspects of Scientific Models will be conducted with the use of research based questionnaires and semi-structured interview.
Maria Tsouchnika
Ανίχνευση ψευδών ειδήσεων σε πλατφόρμες κοινωνικής δικτύωσης με τεχνικές Στατιστικής Φυσικής και Μηχανικής Μάθησης
Electra Papadopoulou
Μελέτη πολυμερών με βιο-προερχόμενα υλικά κατάλληλα για την βιομηχανία σανίδων από ξύλο και άλλες βιομάζες
Theodoros Bouloumis
Αυτή η εργασία στοχεύει στην βελτίωση τεχνικών που βασίζονται σε quantum support vector machines (QSVMs) μέσω του σχεδιασμού νέων, αποδοτικών κβαντικών πυρήνων (quantum kernels) για τωρινούς κβαντικούς υπολογιστές και της συγκριτικής αξιολόγησής τους έναντι των κλασσικών μεθόδων σε ρεαλιστικά δεδομένα. Ενσωματώνει το σχεδιασμό πυρήνων, τη μεταβλητή βελτιστοποίηση (variational optimization) και την υβριδική κλασική–κβαντική μάθηση για την αντιμετώπιση προβλημάτων ταξινόμησης και συνδυαστικής βελτιστοποίησης. Η εργασία περιλαμβάνει και την επίδειξη πρακτικού πλεονεκτήματος σε εφαρμογές όπως η ταξινόμηση κρυσταλλικών δομών (BCC έναντι FCC) με χρήση χαρακτηριστικών από DFT υπολογισμούς. Η έρευνα αξιοποιεί τις δυνατότητες των σημερινών κβαντικών υπολογιστικών συστημάτων και στοχεύει σε απτά αποτελέσματα, όπως εργαλεία ανοιχτού κώδικα, δημοσιεύσεις με κρίση από ομοτίμους, και πειραματική επίδειξη κβαντικού πλεονεκτήματος.
Georgios-Panagiotis Kousiopoulos
This Post-Doctoral Research concerns the design and implementation of conventional and machine-learning methods, which can be employed in various applications. A detailed comparative investigation of the performance of these two types of methods will be conducted, in relation to the capabilities of the available digital systems which these methods are implemented on, as well as the specifications and the requirements of the applications that they are intended for. For the comparison of the performance of the methods several metrics will be employed, such as the accuracy of the results, the execution speed, the memory usage, the power consumption and the required amount of data.
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
Dimitrios Karfaridis
Ανάπτυξη, δομικός, και μαγνητικός χαρακτηρισμός νανοδομημένων υλικών
Ioannis Kafetzis
Σχεδίαση χαοτικών συστημάτων και κβαντικών εκδοχών τους για ανάπτυξη μεθόδων κρυπτογραφίας και ασφαλούς μετάδοσης σημάτων
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
Andreas Chrysanthou
Μελέτη της ανάκαμψης του στρατοσφαιρικού όζοντος με ανάλυση παρατηρήσεων και αποτελεσμάτων μοντέλων
Konstantinos Michailidis
Development of advanced methods for the assessment and analysis of satellite data of aerosol properties from polar orbit observations using lidar ground based remote sensing data
Natalia Liora
Υπολογισμός ανθρωπογενών εκπομπών αέριων και σωματιδιακών ρύπων για τρέχοντα και μελλοντικά έτη αναφοράς
Serafeim Kontos
Μελέτη της ποιότητας του αέρα στην ανατολική Μεσόγειο υπό το πρίσμα της κλιματικής αλλαγής
Stavros Keppas
The present research aims to study the phenomenon of Urban Heat Island (UHI) in the urban and suburban areas of the city of Thessaloniki. This will be achieved through the use of a densely distributed network of meteorological stations (>1 station per 1 km^2), which will be correlated with land use. Simultaneously, the residents' discomfort levels in various areas will be assessed. As the sea breeze mechanism is an integral part of the city's climatology, the intensity and extent of the sea breeze's impact will be investigated, along with its interaction with the UHI. Finally, an analysis of all the aforementioned mechanisms and phenomena will be conducted during heatwave episodes to identify areas with the highest and lowest levels of burden.
Dimitrios Karagkiozidis
Μελέτη των συγκεντρώσεων αερίων ιχνών και αιωρούμενων σωματιδίων στην ατμόσφαιρα με φασματοσκοπία διαφορικής οπτικής απορρόφησης
Kalliopi-Artemis Boudouri
Aim of this research is to evaluate the NASA CloudSat products using ground-based measurements performed in ACTRIS stations. Combined ground-based lidar-radar observations performed in the framework of the PRE-TECT experiment during April 2017 at the Greek Atmospheric Observatory are used to evaluate the CloudSat performance in detecting hydrometeors. Moreover, ground-based lidar measurements performed with THEssaloniki’s Lidar SYStem will be used for evaluating CloudSat performance in detecting ice crystals clouds.The outcome of this work is a step towards the use of CloudSat products for performing a decade-long cloud statistical analysis over the poorly studied East Mediterranean region and to evaluate the upcoming EARTHCARE algorithms and cloud products.
Dafni Parliari
The exposure of urban residents of the Southern Mediterranean to high concentrations of air pollutants, combined with extreme temperatures, leads to an increased risk of mortality. Meanwhile, the impact of various environmental factors on human health is often assessed in a non-interactive manner, despite recent evidence suggesting synergy between them. The aim of this post-doctoral research is the broad application of Non-linear Distributed Lag Models within the framework of Generalized Additive Models to study the concurrent effects of thermal stress and air pollution on human mortality in the urban areas of the Southern Mediterranean in a standardized and comparable way.
Ioannis Logothetis
Μελέτη Κλιματικών Μεταβολών στη Τροπόσφαιρα και Στρατόσφαιρα με δεδομένα από Μοντέλα Ατμοσφαιρικής Κυκλοφορίας του προγράμματος CMIP6
Panagiotis Gkirmpas
The present postdoctoral research aims to develop and evaluate an inverse modelling methodology for identifying the primary sources of air pollution affecting air quality in the greater Thessaloniki area. To achieve this, Atmospheric Transport and Dispersion Models will be applied at two spatial scales: (i) urban scale, using high-resolution mesoscale models, and (ii) street level, employing Computational Fluid Dynamics models. The research seeks to identify major emission hotspots and identify specific pollution sources, such as industrial facilities or road traffic links, that highly contribute to concentration levels Additionally, it aims to update emission inventories within the study area.
Konstantinos Papatheodosiou
The present postdoctoral research proposes an integrated early warning system for natural disasters, combining artificial intelligence (AI), data from meteorological stations, and Internet Radio capabilities. Building on previous studies (Papatheodosiou & Angeli, 2021; Kumar & Patel, 2021), the system aims to improve prediction accuracy (>95%), reduce response time (<30 minutes), and extend coverage to remote areas, such as Symi. The research will implement hybrid prediction models (LSTM + ECMWF) and develop an Internet Radio platform for multilingual audio alerts. Expected outcomes include the creation of a comprehensive risk management system, which will collaborate with Civil Protection agencies and enhance community preparedness.
Eleftherios Petavratzis
The proposed postdoctoral research aims at optimizing and predicting the trajectory of autonomous robotic vehicles using artificial neural networks. The study will be developed along three main directions. The first involves the use of Physics-Informed Neural Networks for navigation in chaotic environments. The second focuses on the application of Reservoir Computing in autonomous vehicle navigation. Finally, the third direction concentrates on trajectory prediction of the vehicles through these systems.
Basileios-Panagiotis Rekkas
This postdoctoral research proposes an innovative semantic communication system for sixth-generation networks, integrating artificial intelligence, large language models, deep learning, and edge intelligence. The system aims at significantly reducing data volume, maintaining high semantic accuracy, and operating with very low latency. It utilizes Transformer-based semantic encoders, graph neural networks for processing structured data, and edge inference techniques on devices such as Jetson Nano and Raspberry Pi. Expected outcomes include the development of a complete end-to-end communication framework suitable for applications in the Internet of Things and smart cities.
Andreas Pseftogkas
In this postdoctoral research, a study of air pollutant emissions from the shipping sector in the wider Mediterranean region will be carried out. Specifically, satellite observations from polar and geostationary satellites and chemical transport model simulations will be used with the aim of identifying and quantifying emissions from individual ships as well as total shipping emissions and the contribution of the shipping sector to overall levels of air pollution.
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.
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.
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.
Papadopoulou Ilektra
Μελέτη σύνθετων υλικών
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.
Anna Koumara
Ενίσχυση μέσω της εκπαιδευτικής ρομποτικής της διδασκαλίας με διερεύνηση βασικών εννοιών της μηχανικής στη Δευτεροβάθμια Εκπαίδευση
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.
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.