Chairi Kiourt

Chairi Kiourt
Athena-Research and Innovation Center in Information, Communication and Knowledge Technologies · Multimedia

PhD in Artificial intelligence

About

51
Publications
11,038
Reads
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299
Citations
Citations since 2017
35 Research Items
259 Citations
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201720182019202020212022202301020304050
201720182019202020212022202301020304050
Introduction
Dr. Chairi Kiourt is Assistant Researcher with the ATHENA - Research and Innovation Centre in Information, Communication and Knowledge Technologies. He has participated in several research programs and has contributed to several scientific publications in international journals and conferences with judges.
Additional affiliations
February 2019 - present
Athena-Research and Innovation Center in Information, Communication and Knowledge Technologies
Position
  • Researcher
February 2018 - present
Eastern Macedonia and Thrace Institute of Technology
Position
  • Lecturer
August 2014 - January 2019
Education
September 2015 - September 2016
School of Pedagogical & Technological Education
Field of study
  • 1-Year Programme of Pedagogical Training (EPPAIK)
October 2011 - September 2017
Hellenic Open University
Field of study
  • Artificial Intelligence and Software Engineering
October 2007 - October 2009
Democritus University of Thrace
Field of study
  • Systems Engineering and Management in the specialty area: A. Information and Communication Systems Managemen

Publications

Publications (51)
Article
Plant phenotyping refers to a quantitative description of the plant's properties, however in image-based phenotyping analysis, our focus is primarily on the plant's anatomical, ontogenetical and physiological properties. This technique reinforced by the success of Deep Learning in the field of image based analysis is applicable to a wide range of r...
Preprint
Full-text available
Plant phenotyping refers to a quantitative description of the plants properties, however in image-based phenotyping analysis, our focus is primarily on the plants anatomical, ontogenetical and physiological properties.This technique reinforced by the success of Deep Learning in the field of image based analysis is applicable to a wide range of rese...
Article
Full-text available
Tourism is a phenomenon that dates back to ancient times. Ancient Greek philosophers recognised, adopted, and promoted the concept of rest-based tourism. Ecotourism is a particular type of tourism that connects with activities that take place in nature, without harming it, along with the herbal and animal wealth. According to estimates, the global...
Article
Haptic prohibition is one of the most common limitations when interacting with museum artefacts. This restriction aims quite logically at preventing damages while safeguarding the integrity of the cultural reserve, which is primarily characterised by its uniqueness. Nevertheless, in cases where museum visitors are visually impaired, the inability t...
Article
Full-text available
Plant identification from images has become a rapidly developing research field in computer vision and is particularly challenging due to the morphological complexity of plants. The availability of large databases of plant images, and the research advancements in image processing, pattern recognition and machine learning, have resulted in a number...
Preprint
Full-text available
The main objective of this work is to utilize state-of-the-art deep learning approaches for the identification of pulmonary embolism in CTPA-Scans for COVID-19 patients, provide an initial assessment of their performance and, ultimately, provide a fast-track prototype solution (system). We adopted and assessed some of the most popular convolutional...
Chapter
The identification of ancient coins is a time consuming and complex task with huge experience demands. The analysis of numismatic evidence through patterns detection executed by Machine Learning methods has started to be recognized as approaches that can provide archaeologists with a wide range of tools, which, especially in the fields of numismati...
Article
Full-text available
The last decades, crowd simulation for crisis management is highlighted as an important topic of interest for many scientific fields. As the continuous evolution of computational resources increases, along with the capabilities of Artificial Intelligence, the demand for better and more realistic simulation has become more attractive and popular to...
Conference Paper
Image content prediction with novel deep learning approaches is a hot research topic for many scientific disciplines. Image-based food types recognition and their ingredients is a particularly challenging task, since food dishes are typically deformable objects, usually including complex semantics, which makes the task of defining their structure v...
Chapter
Exploiting extended reality technologies in laboratory training enhances both teaching and learning experiences. It complements the existing traditional learning/teaching methods related to science, technology, engineering, arts and mathematics. In this work, we use extended reality technologies to create an interactive learning environment with dy...
Preprint
Full-text available
With the advent of the computational technologies (Graphics Processing Units - GPUs) and Machine Learning, the research domain of crowd simulation for crisis management has flourished. Along with the new techniques and methodologies that have been proposed all those years, aiming to increase the realism of crowd simulation, several crisis simulatio...
Chapter
Automatic image-based food recognition is a particularly challenging task. Traditional image analysis approaches have achieved low classification accuracy in the past, whereas deep learning approaches enabled the identification of food types and their ingredients. The contents of food dishes are typically deformable objects, usually including compl...
Conference Paper
Gastronomy is increasingly becoming a decisive flavour of tourists’ experience. Tourists’ gastronomic experience could be significantly enhanced by AI tools that provide image-based dish recognition and menu translation, thus covering the basic needs of tourists during a visit that involves culinary experiences. This paper presents and discusses so...
Preprint
The last few decades, crowd simulation for crisis management is highlighted as an important topic of interest for many scientific fields. As the continues evolution of computational resources increases, along with the capabilities of Artificial Intelligence, the demand for better and more realistic simulation has become more attractive and popular...
Preprint
Full-text available
Automatic image-based food recognition is a particularly challenging task. Traditional image analysis approaches have achieved low classification accuracy in the past, whereas deep learning approaches enabled the identification of food types and their ingredients. The contents of food dishes are typically deformable objects, usually including compl...
Chapter
This article focuses on important factors in the creation of enhanced personalised experiences in virtual environments for cultural heritage applications, especially those targeting virtual museums and exhibitions. Some of the most important factors relating to personalised virtual museums that relate to intelligent content and user modelling in vi...
Chapter
One of the most challenging problems in the simulation of real environments is to generate worlds that appear realistic and more attractive. It becomes increasingly challenging when the simulated environment focuses on minors (students), because the young generation has high demands on simulation systems due to their experience in computer gaming....
Chapter
One of the most challenging tasks in cross reality environment simulations is the generation of realistic and attractive worlds. The continuous evolution of computer game industry has a dramatic effect on such tasks as younger generations have higher expectations and demands in terms of realism. Virtual, Augmented, and mixed reality-based museums a...
Chapter
Numerous software solutions implementing the structure-from-motion/multi-view stereo (SFM/MVS) 3D reconstruction approach have been made available over the last two decades. Hence, enabling the production of high quality, in terms of geometry and colour information, 3D objects using solely unordered image sequences depicting a static scene or objec...
Chapter
As an integral part of archaeology, archaeometry, employs standard laboratory techniques and ICT tools to examine and analyze art and archaeological materials. Most students involved with cultural heritage and Αrchaeology have a background in the arts or humanities and a minimal, if any, training in the principles and techniques of most natural and...
Conference Paper
One of the most challenging tasks in Extended Reality based environments is the creation of realistic, interactive and attractive simulation with personalised content, without overlooking the main purpose of the system, which, in our case, is education. This paper introduces the XRLabs platform, which is an Extended Reality platform to assist in th...
Article
Full-text available
Avery effective and promising approach to simulate real-life conditions in multi-agent virtual environments with intelligent agents is to introduce social parameters and dynamics. Introduction of social parameters in such settings reshapes the overall performance of the synthetic agents, so a new challenge of reconsidering the methods to assess age...
Article
Full-text available
The digital cultural heritage field has been developing in parallel with modern archaeology by collecting and storing data from all aspects of field work, from excavations to virtual representations and to exhibitions, and by transforming data into knowledge and new services, ranging from supporting scientists to offering edutainment content. As an...
Conference Paper
Full-text available
Virtual laboratories are the new online educational trend for communicating to students practical skills of science. In this paper we report on a comparison of techniques for familiarizing distance learning students with a 3D virtual biology laboratory, in order to prepare them for their microscopy experiment in their physical wet lab. Initial trai...
Article
This article focuses on important factors in the creation of enhanced personalised experiences in virtual environments for cultural heritage applications, especially those targeting virtual museums and exhibitions. Some of the most important factors relating to personalised virtual museums that relate to intelligent content and user modelling in vi...
Article
Coupling culture and education has attracted significant attention and pushed towards the replacement of the typical STEM model into STEAM. An effective integration of culture in the everyday educational practice, empowered by game-based storytelling has already shown great potential in transforming the way people are exposed to and grasp knowledge...
Chapter
Agent based simulation of social organizations, via the investigation of agents’ training and learning tactics and strategies, has been inspired by the ability of humans to learn from social environments which are rich in agents, interactions and partial or hidden information. Such richness is a source of complexity that an effective learner has to...
Conference Paper
Full-text available
This paper focuses on the integration of artificial intelligence methods in multi-agent virtual environments for cultural heritage applications and especially virtual museums and exhibitions. Multi-agent systems are considered here as being autonomous social organizations capable of developing dynamic personalized virtual environments. In this resp...
Preprint
Agent based simulation of social organizations, via the investigation of agents' training and learning tactics and strategies, has been inspired by the ability of humans to learn from social environments which are rich in agents, interactions and partial or hidden information. Such richness is a source of complexity that an effective learner has to...
Article
Full-text available
Numerous software solutions that implement the Structure-from-Motion/Multi-View Stereo (SfM/MVS) 3D reconstruction approach have been made available during the last decade. These allow the production of high quality in terms of geometry and colour information 3D models with the use of unordered image collections that depict a static scene or object...
Article
Full-text available
One of the most challenging problems in the simulation of real environments is to generate worlds that appear realistic and more attractive. It becomes increasingly challenging when the simulated environment focuses on minors (students), because the young generation has high demands on simulation systems due to their experience in computer gaming....
Article
This paper investigates the performance of synthetic agents in playing and learning scenarios in a turn-based zero-sum game and highlights the ability of opponent-based learning models to demonstrate competitive playing performances in social environments. Synthetic agents are generated based on a variety of combinations of some key parameters, suc...
Conference Paper
This paper investigates the learning progress of inexperienced agents in competitive game playing social environments. We aim to determine the effect of a knowledgeable opponent on a novice learner. For that purpose, we used synthetic agents whose playing behaviors were developed through diverse reinforcement learning set-ups, such as exploitation-...
Article
Full-text available
Open linked data technologies pave the way towards the semantic Web of the future by a) exploiting the abundance in data availability, b) enhancing the continuing application developments in the Web and computer technologies, c) increasing the availability of game engines towards an expansion of techniques and d) bridging culture and education with...
Article
he evolving technologies of the game engines and the Web have reached a level of maturity that enables them to contribute significantly to the long-celebrated blending of culture and education with gaming. In this work, we present DynaMus, an innovative fully dynamic Web-based virtual museum framework that relies entirely on users’ creativity and o...
Conference Paper
The introduction of social dynamics in multi-agent environments with synthetic agents is an effective way to simulate real-life conditions. Nowadays there is a trend towards the integration of social dynamics in multi-agent virtual environments to better assess the performance of synthetic agents in competitive situations. This assessment is usuall...
Chapter
We examine how synthetic agents interact in social environments employing a variety of agent τraining strategies against diverse opponents. Such agent training and playing methods indicate that quality playing relies more on the correct set-up of the learning mechanism than on experience. The experimentation provides valuable insight into the poten...
Chapter
Modern artificial intelligence approaches study game-playing agents in multi-agent social environments, in order to better simulate the real world playing be-haviors; these approaches have already produced promising results. In this paper we present the results of applying human rating systems for competitive games with social activity, to evaluate...
Article
Full-text available
Abstract: The simulation of societies requires vast amounts of computing resources, which must be managed over distributed or high performance computing infrastructures to provide for cost-effective experimentation. To that end, this paper presents a novel platform for the segmentation and management of social simulation experiments in game-playing...
Conference Paper
Full-text available
Abstract—Continuous developments in the web and computer technologies along with an increasing availability of game engines contribute to an expansion of techniques that bridge culture and education with gaming. In addition, open linked data technologies pave the way towards the semantic web of the future by exploiting the abundance in data availab...
Conference Paper
Full-text available
Abstract The continuous development of web services and computer infrastructures complemented by the increasing availability of game development software engines, contribute to an on-going expansion in the release of serious games (SG) in diverse areas, ranging from entertainment, cultural heritage (CH), education, artificial intelligence (AI),...
Conference Paper
Full-text available
Abstract Technological innovations have rapidly increased over the recent years as well as e-learning usage and thus museums have increased e-learning investment in order to adapt their services in a better and more efficient way for their visitors. While museums offer a diverse range of personal digital collections systems on their websites it...
Conference Paper
Full-text available
This work introduces a novel, modular, layered web based platform for managing machine learning experiments on grid-based High Performance Computing infrastructures. The coupling of the communication services offered by the grid, with an administration layer and conventional web server programming, via a data synchronization utility, leads to the s...
Conference Paper
Full-text available
In this paper we present a novel architecture for streamlining human expert management for a multi agent system deployed at the grid with the objective of investigating social learning. The coupling of the communication services offered by the grid, with an administration layer and conventional web server programming, via a data synchronization uti...
Conference Paper
Full-text available
The development of a novel Multi-Agent-Based Social Simulation (MABS) platform is undertaken after considering the advantages and disadvantages of existing platforms. We study their adaptability and usage in an existing strategy board game and attempt to model tournaments in social environments. To facilitate this experimentation, we arrive at the...
Conference Paper
Full-text available
In this work we discuss Social Reinforcement Learning on self-trained agents. We simulate social learning by implementing a tournament on an existing board game that utilizes reinforcement learning for playing and learning. The socially trained agents are compared to self-trained agents and their superior performance is noted. The findings and the...
Conference Paper
O ΛΟΚΛΗΡΩΜΕΝΟ ΠΛΗΡΟΦΟΡΙΑΚΟ ΣΥΣΤΗΜΑ ΥΠΟΛΟΓΙΣΜΟΥ ΤΗΣ ΑΝΤΙΚΕΙΜΕΝΙΚΗΣ ΑΞΙΑΣ ΚΑΙ ΕΚΚΑΘΑΡΙΣΗΣ ΤΟΥ ΦΟΡΟΥ ΜΕΤΑΒΙΒΑΣΗΣ ΑΚΙΝΗΤΟΥ G-TAXIS Geographic Tax Information System

Questions

Question (1)
Question
How can we measure the knowledge of an socially trained agent in MAS?
Especially to compare the agents' knowledge's. Any algorithm that can help me to found out what an agent earned from others ?

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Projects

Projects (2)
Project
The main objective of this work is to utilize state-of-the-art deep learning approaches for the identification of pulmonary embolism in CTPA-Scans.
Project
Onlabs is an educational 3D Virtual Environment simulating the biology lab of the Hellenic Open University and used for training biology students in making appropriate use of the laboratory equipment and conducting experiments.