Iraklis Varlamis

Iraklis Varlamis
Harokopio University | HUA · Department of Informatics and Telematics

PhD in Computer Science

About

278
Publications
72,614
Reads
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3,315
Citations
Citations since 2017
145 Research Items
2004 Citations
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20172018201920202021202220230100200300400500600
20172018201920202021202220230100200300400500600
Introduction
Iraklis Varlamis is an Associate Professor in the Department of Informatics and Telematics, Harokopion University of Athens. Iraklis does research in Data Structures, Artificial Intelligence and Computing. His publications can be found here: https://www.dit.hua.gr/~varlamis/index.php?cat=publications
Additional affiliations
August 2019 - present
Harokopio University
Position
  • Professor (Associate)
January 2014 - August 2019
Harokopio University
Position
  • Professor (Assistant)
January 2010 - present
Εθνική Σχολή Δημόσιας Υγείας
Position
  • Collaborating researcher
Education
May 1999 - November 2003
September 1997 - September 1998
The University of Manchester (UMIST)
Field of study
  • Information Systems Engineering
September 1992 - September 1997

Publications

Publications (278)
Article
Full-text available
Non-intrusive load monitoring (NILM) techniques are central techniques to achieve the energy sustainability goals through the identification of operating appliances in the residential and industrial sectors, potentially leading to increased rates of energy savings. NILM received significant attention in the last decade, reflected by the number of c...
Article
The detection of organised disinformation campaigns that spread fake news, by first camouflaging them as real ones is crucial in the battle against misinformation and disinformation in social media. This article presents a method for classifying the diffusion graphs of news formed in social media, by taking into account the profiles of the users th...
Article
Full-text available
The rapid development of natural language processing and deep learning techniques has boosted the performance of related algorithms in several linguistic and text mining tasks. Consequently, applications such as opinion mining, fake news detection or document classification that assign documents to predefined categories have significantly benefited...
Chapter
Latest trends, societal needs and technological advances have led to an unparalleled expansion in the use of Unmanned Aerial Vehicles (UAV) for military and civilian applications. Such systems are becoming increasingly popular in many operations, since they reduce costs, facilitate activities and can increase the granularity of surveillance or deli...
Article
Full-text available
According to several studies, the most influencing factor in a household's energy consumption is user behavior. Changing user behavior to improve energy usage leads to efficient energy consumption, saving money for the consumer and being more friendly for the environment. In this work we propose a framework that aims at assisting households in impr...
Article
Full-text available
In the last few years, the interest in the use of robots in STEM education has risen. However, their main drawback is the high cost, which makes it almost impossible for schools to have one robot per student. Another drawback is the proprietary nature of commercial solutions, which limits the ability to expand or adapt the robot to educational need...
Article
Full-text available
Graph-like structures, which are increasingly popular in data representation, stand out since they enable the integration of information from multiple sources. At the same time, clustering algorithms applied on graphs allow for group entities based on similar characteristics, and discover statistically important information. This paper aims to expl...
Article
Full-text available
Content and metadata concerning a specialized field such as Art and Cultural Heritage are often scattered throughout the World Wide Web, making it hard for end-users to find, especially amid the vast and often commercialized general content of the Web. This paper presents the process of designing and developing a Federated Search Engine (FSE) that...
Article
Full-text available
Internet of Things (IoT) devices are becoming popular solutions for smart home and office environments and contribute the most to energy efficiency. The most common implementation of such solutions relies on smart home systems that are hosted on the cloud. They collect data from a multitude of sensors, process it in real-time on the cloud and deliv...
Chapter
Continual learning is a crucial ability for learning systems that have to adapt to changing data distributions, without reducing their performance in what they have already learned. Rehearsal methods offer a simple countermeasure to help avoid this catastrophic forgetting which frequently occurs in dynamic situations and is a major limitation of ma...
Article
Full-text available
The detection and prevention of workers’ body straining postures and other stressing conditions within the work environment, supports establishing occupational safety and promoting well being and sustainability at work. Developed methods towards this aim typically rely on combining highly ergonomic workplaces and expensive monitoring mechanisms inc...
Article
Full-text available
The combat against fake news and disinformation is an ongoing, multi-faceted task for researchers in social media and social networks domains, which comprises not only the detection of false facts in published content but also the detection of accountability mechanisms that keep a record of the trustfulness of sources that generate news and, lately...
Preprint
Full-text available
This paper presents a proof-of-concept implementation of the AI-as-a-service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving personalization system according to the output of an automatic driver's stress recognition algorithm, both of them realizing a Cyber-Physical System of Systems. In addition,...
Article
Full-text available
Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the analysis and mining of massive amounts of various types of user data, including demographics, preferences, social interactions, etc. in order to develop accurate and preci...
Article
Full-text available
Since the dawn of the new millennium and even earlier, a coordinated effort has been underway to expand the World Wide Web into a machine-readable web of data known as the Semantic Web. The field of art and culture has been one of the most eager to integrate with the Semantic Web, since metadata, data structures, linked-data, e.g., the Getty vocabu...
Article
Despite the variety of sensors that can be used in a smart home or office setup, for monitoring energy consumption and assisting users to save energy, their usefulness is limited when they are not properly integrated into the daily activities of humans. Energy-saving applications in such environments can benefit from the use of sensors and actuator...
Conference Paper
Worldwide demographics are changing; we are living longer and, in developed countries, the birth-rate is dropping. In this context and motivated by the challenge of sustainable ageing, this paper presents sustAGE, a multi-modal person-centred IoT platform, which integrates with the daily activities of ageing employees both at work and outside. The...
Conference Paper
Today, a large part of the labor policies in the EU aim at extending the active participation of older (i.e. 50+) employees in the workforce in order to avoid the respective pressure on the national economies and health systems as well as potential shortcomings in qualified personnel due to demographical changes in the entire population. Preventing...
Article
Full-text available
Energy efficiency based on behavioral change has attracted increasing interest in recent years, although, solutions in this area lack much needed techno-economic analysis. That is due to the absence of both prospective studies and consumer awareness. To close such gap, this paper proposes the first techno-economic assessment of a behavioral change-...
Conference Paper
Social media platforms have become a primary source of information and public influence. This dynamic has given rise to the interest of journalists, companies, scientists and organizations in identifying the most productive and influential agents of a network. Although popular indicators such as Reach, Engagement and Virality can be a good basis fo...
Conference Paper
The widespread proliferation of online social networks has resulted in the creation of huge amounts of data related to, among other things, the expression of opinion and sentiment about literally all aspects of everyday life. In this respect, various tools have been developed by interested parties (companies, individuals) that monitor the social me...
Preprint
Full-text available
Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the analysis and mining of massive amounts of various types of user data, including demographics, preferences, social interactions, etc. in order to develop accurate and preci...
Article
Full-text available
Background: Dietary and lifestyle habits constitute a significant contributing factor in the formation of anthropometric and biochemical characteristics of overweight and obese populations. The iMPROVE study recruited overweight and obese Greek adults and investigated the effect of gene-diet interactions on weight management when adhering to a six...
Conference Paper
Purpose: Cognitive ageing may impair the ability of older employees to remain in the workforce. The interdisciplinary EU-project sustAGE draws upon digital technology trends to support older workers by providing guidance for health-promoting activities in and outside the working context. One of sustAGE’s objectives is the enhancement of age-affecte...
Chapter
The rising demand for adaptive, cloud-based and AI-based systems is calling for an upgrade of the associated dependability concepts. That demands instantiation of dependability-orientated processes and methods to cover the whole life cycle. However, a common solution is not in sight yet That is especially evident for continuously learning AI and/or...
Article
Full-text available
As the amount of content that is created on social media is constantly increasing, more and more opinions and sentiments are expressed by people in various subjects. In this respect, sentiment analysis and opinion mining techniques can be valuable for the automatic analysis of huge textual corpora (comments, reviews, tweets etc.). Despite the advan...
Preprint
Full-text available
This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment comprising both virtual and physical resources spanning the edge-cloud continuum. TEACHING puts forward a human-centred vision leveraging the physiological, emotional, and...
Article
Full-text available
The current study refers to the affinity analysis of a prescription and diagnosis dataset and focuses on how prescription behavior changes after the detection of a disorder. Using a subset of patients that have been diagnosed, at least once, with hypertension and hyperlipidemia, examines the prescription behavior of the doctor after the detection o...
Article
Full-text available
During the last few years, there has already been a solid discussion and political will, transversal to most European countries, on the need to invest in prevention, promoting healthier living environments and person-centred digital solutions. In short, it seems that consensus on the need to move forward and invest in wellbeing and quality of life...
Conference Paper
Full-text available
sustAGE is an ongoing project, developing an Internet of Things ecosystem, including smartphones, smartwatches, environmental sensors and cameras to support elderly workers in industrial environments , such a car manufacturing factory. In this context, we briefly describe non-obtrusive method for assessing the physical strain of workers using visua...
Article
The lockdown restrictions that have emerged during the COVID-19 pandemic have reshaped the way people live, work, and interact with each other. At the same time, it changed the way health-care professionals and national health-care systems around the world are fighting in this battle for public health. Social media (SoMe) have played their informat...
Article
Full-text available
The explosion of social media allowed individuals to spread information without cost, with little investigation and fewer filters than before. This amplified the old problem of fake news, which became a major concern nowadays due to the negative impact it brings to the communities. In order to tackle the rise and spreading of fake news, automatic d...
Preprint
Full-text available
Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of IoT and AI, multiple forms of data are incorporated in these systems, e.g. social, implicit, local and personal information, whi...
Article
Full-text available
Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of IoT and AI, multiple forms of data are incorporated in these systems, e.g. social, implicit, local and personal information, whi...
Article
Scope Non‐alcoholic fatty liver disease (NAFLD) is the most common liver disease with poor therapeutic strategies. Mastiha possesses antioxidant/anti‐ inflammatory and lipid lowering properties. We investigated the effectiveness of Mastiha as a non‐pharmacological intervention in NAFLD. Methods and Results 98 patients with NAFLD in three countries...
Chapter
The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy consumption behaviors. User energy consumption is inductively derived from the time-to-time standards of living that shape the user...
Book
Full-text available
Εισαγωγικό Σημείωμα Συγγραφέων. Το παρόν βιβλίο με τίτλο «Πληροφοριακά Συστήματα Υγείας και Ηλεκτρονικές Υπηρεσίες» αφορά στη μελέτη των Πληροφοριακών Συστημάτων στο χώρο της Υγείας, σε τεχνολογικό, θεωρητικό όσο και οργανωτικό επίπεδο. Μέσα από ξεχωριστές ενότητες το βιβλίο α) επιχειρεί μια επισκόπηση των πληροφοριακών συστημάτων στο χώρο της υγε...
Article
Full-text available
Building a rich and informative model from raw data is a hard but valuable process with many applications. Ship routing and scheduling are two essential operations in the maritime industry that can save a lot of resources if they are optimally designed, but still, need a lot of information to be successful. Past and recent works in the field assume...
Chapter
Full-text available
In recent years, the automatic identification of electrical devices through their power consumption signals finds a variety of applications in smart home monitoring and non-intrusive load monitoring (NILM). This work proposes a novel appliance identification scheme and introduces a new feature extraction method that represents power signals in a 2D...
Preprint
Full-text available
In spite of the substantial advance in developing energy-efficient buildings, power demand in the building sector is still remarkably growing due to teleworking and e-learning triggered by the COVID-19 movement restrictions. This is highlighted by the inefficiency of energy saving measures that have recently been set owing to the the marketability...
Preprint
Full-text available
The recent advances in artificial intelligence namely in machine learning and deep learning, have boosted the performance of intelligent systems in several ways. This gave rise to human expectations, but also created the need for a deeper understanding of how intelligent systems think and decide. The concept of explainability appeared, in the exten...
Preprint
Full-text available
The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy consumption behaviors. User energy consumption is inductively derived from the time-to-time standards of living that shape the user...
Article
Full-text available
The recent advances in artificial intelligence namely in machine learning and deep learning, have boosted the performance of intelligent systems in several ways. This gave rise to human expectations, but also created the need for a deeper understanding of how intelligent systems think and decide. The concept of explainability appeared, in the exten...
Article
Full-text available
Package recommendation systems have gained in popularity especially in the tourism domain, where they propose combinations of different types of attractions that can be visited by someone during a city tour. These systems can also be applied in suggesting home entertainment, proper nutrition or academic courses. Such systems must optimize multiple...
Article
Stop-and-move semantic trajectories are segmented trajectories where the stops and moves are semantically enriched with additional data. A query language for semantic trajectory datasets has to include selectors for stops or moves based on their enrichments and sequence expressions that define how to match the results of selectors with the sequence...
Article
All the modern surveillance systems take advantage of the Automatic Identification System (AIS), a compulsory tracking system for many types of vessels. Ships that carry AIS transponders on board transmit their position and status in order to alert nearby vessels and ground stations, but this information can well be used to identify events of inter...
Article
Domestic user behavior is a crucial factor guiding overall power consumption, necessitating the development of systems that analyze and help shape energy-efficient behavior. Therefore, the most important step in the process is the collection and understanding of highly detailed domestic consumption data. This article presents an appliance-based ene...
Article
This paper introduces REHAB-C, a goal-based context-aware recommendation system that supports users in transforming their energy habits. A combination of smart sensors and actuators collects information about user actions and their context and evaluates the actions to be proposed. Based on user decisions, REHAB-C either triggers an energy saving ac...
Article
Full-text available
The English language is the most dominant language in the Western world and its influence can be noticed in every aspect of human communication. It’s increasing diffusion, especially since the turn of the century, is hard to measure with conventional means. The present research studies the use of language in websites of European Union (EU) member s...