HI! I'm Christos Stergiou

I am a Researcher, a Professor of Computer Science, and an ICT.

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About Me

I was born in Thessaloniki, Greece. I am currently a Ph.D. student in the Department of Applied Informatics, School of Information Sciences, University of Macedonia, Greece. My main research interests include Algorithms for Cloud Computing, Big Data, and Wireless Communication. In 2017, I was awarded by the conference committee of 19th IEEE Conference on Business Informatics (CBI) for Doctoral Student Work titled ԁlgorithms for Big Data in Advanced Communication Systems and Cloud Computing.

I received a degree in Technology Management in the Department of Applied Informatics, School of Information Sciences from the University of Macedonia (Greece). Also, I received a degree in Informatics and Computer Engineering from Technological Educational Institute of Western Macedonia, Annex of Kastoria (Greece), an MSc degree in Wireless Communication Systems from the Department of Technician of Wired and Wireless Networks of Brunel University (UK), and a Certificate of Proficiency for Teachers of Technological Education from School of Pedagogical and Technological Education (ASPETE), Annex of Thessaloniki (Greece).

I am a member of IEEE Industrial Electronics Society since 2017, and also he is a reviewer for several International Journals since 2016.

My professional interests are Education, Multimodal Data Communications Systems, Cloud Transmission/Streaming/Synchronization, Wireless Communication Systems, Evolution of WiMAX Technology, Science Information Network, Internet of Things, Cloud Computing, and Big Data.

Personal Information

Skills & Softwares

Here are listed the qualifications and abilities I have gained both through my work experience and my academic experience.

Tutoring
Html
3D Studio Max
UDK 3 - Unreal Engine
css
Wordpress
Photoshop
Joomla
DreamWeaver
Java
C
Flash
C++
Android Studio
Unity
MatLab
Cloud-Analyst
XML
OpenGL
Javascript

Work Experience

Here are listed chronologically my work experience, from the newest to the oldest.

Education

Here are listed chronologically my degrees, certificates, and all the education, from the newest to the oldest.

2017 - 2020

Doctor of Sciencemore_vert

University of Macedonia

PhD in Communications Systems: Algorithms for Big data in Telecommunications and Cloud Computingclose University of Macedonia

Cloud Computing, Big Data, Internet of Things, Wireless Communication

2010 - 2016

Bachelor Of Sciencemore_vert

University of Macedonia

Bachelor Of Science of Technology Managementclose University of Macedonia

Management, Economics, Programming, Networking, Web Programming, Information Systems, Accounting, Finance, IT

2014 - 2015

Certificatemore_vert

ASPETE

Certificate of Proficiency for Teachers of Technological Educationclose School of Pedagogical and Technological Education (ASPETE)

Studied Εducational, Psychology, New technologies.

2010 - 2012

Master of Sciencemore_vert

Brunel University

MS in Wireless Communication Systemsclose Brunel University

Technician of Wired and Wireless Networks

2005 - 2009

Bachelor Of Sciencemore_vert

TEI of Western Macedonia

Bachelor Of Science of Informatics and Computer Engineeringclose Technological Educational Institute of Western Macedonia

Field of study: Computer Engineering - Tele-applications and Safety

Computer Programming, Computer Engineering, Technical Support, Networking, Web Programming, Information Systems

2002 - 2005

High School Diplomamore_vert

27th High School of Thessaloniki

High School Diplomaclose 27th High School of Thessaloniki

High School Diploma

work 329 Project Completed
supervisor_account 500 Happy Students
redeem 2 Award Won

Publications

Here are listed my research projects and publications.

Proposed High Level Architecture of a Smart Interconnected Interactive Classroom

in Proceedings of IEEE conference SEEDA-CECNSM 2018

Abstract:

This paper presents the high level architecture of a smart, modern, interactive laboratory-class called Smart Interconnected Interactive Classroom (SIIC). It describes the interoperability of telecommunication technologies, sensors and actuators over a virtual environment that enhances the learning process and experience. In the context of this work novel augmented and virtual services are outlined that can assist e-Learning systems through virtual reality and real-time interactions.

Link

Security, Privacy & Efficiency of Sustainable Cloud Computing for Big Data & IoT

Elsevier, Sustainable Computing, Informatics and Systems

Abstract:

With the significant advances in communication technologies and in many other sectors, also are growing up security and privacy issues. In our research, is introduced a base technology called Cloud Computing (CC) to operate with the Big Data (BD). CC is a technology which refers to the processing power of data in the fog, providing more “green” computational and sustainable computing. Since it is a recently investigated technology, it has many gaps in security and privacy. So, in this paper, we proposed a new system for Cloud Computing integrated with Internet of Things as a base scenario for Big Data. Moreover, we tried to establish an architecture relaying on the security of the network in order to improve the security issues. A solution proposed is installing a security “wall” between the Cloud Server and the Internet, with the aim to eliminate the privacy and security issues. As a result, we consider that CC deals more efficient with the privacy issue of bits transferred through time. Through our proposed system, the interaction and cooperation between things and objects communicate through the wireless networks in order to fulfil the objective set to them as a combined entity. Regarding the major goal of our research, which is the security, a sort survey of IoT and CC presented, with a focus on the security issues of both technologies. In addition to this, we try present the security challenges of the integration of IoT and Cloud Computing with the aim to provide an architecture relaying on the security of the network in order to improve their security issues. Finally, we realize that through our study Cloud Computing could offer a more “green” and efficient fog environment for sustainable computing scenarios.

Link

Security and Privacy of Big Data for Social Networking Services in Cloud

IEEE conference on Computer Communications (IEEE INFOCOM 2018)

Abstract:

Big Data (BD) is of great importance especially in wireless telecommunications field. Social Networking (SNg) is one more fast-growing technology that allows users to build their profile and could be described as web applications. Both of them face privacy and security issues. In this paper, we survey SNg, BD and Cloud Computing (CC) technology and their basic characteristics, by concentrating on the security issues of those technologies. Specifically, we aim at combining the functionality of these two technologies (i.e Big Data and Social Networking) in a CC environment, so that we can analyze the common features and ascertain the advantages of their integration related to security issues. Concluding our research, we present a new system-framework-network in Cloud Environment through which users of various Social Networks (SNs) will be able to exchange data and information, and primarily large-scale data (Big Data), could greatly improve the communication of SN users, and thus become more safe and accurate in a Cloud environment. More specifically, this system would be an intermediate communication node that could be utilized in order to improve the security of SNg’s users through the use of algorithms that can provide more privacy in the data related to BD technology. This method is presented here and also, some measurements and results relative to its use. Finally, the opportunity to create a database through which each user can view the statistics of his interaction with the SNg is further discussed.

Link

Algorithms for efficient digital media transmission over IoT and cloud networking

Journal of Multimedia Information System

Abstract:

In recent years, with the blooming of Internet of Things (IoT) and Cloud Computing (CC), researchers have begun to discover new methods of technological support in all areas (e.g. health, transport, education, etc.). In this paper, in order to achieve a type of network that will provide more intelligent media-data transfer we are studying new technologies, and use various open source tools, such as CC analyzers and simulators. These tools are useful for studying the collection, storage, management, processing, and analysis of large volumes of data. The simulation platform used is CloudSim and runs on Eclipse. So, after measuring the network performance with CloudSim, we use the Cooja emulator of the Contiki OS to confirm and access more metrics and options. More specifically, we implemented a network topology from a small section of the script of CloudSim with Cooja, so that we can test a single network segment. The results of the experiment show that there are not duplicated packets received. This research could be a start point for better and more efficient media data transmission.

Link

Advanced Media-based Smart Big Data on Intelligent Cloud Systems

IEEE Transaction on Sustainable Computing

Abstract:

Today’s advanced media technology preaches an enthralling time that will enormously bear on daily life. Moreover the rapid raise of wireless communications and networking will ultimately bring advanced media to our lives anytime, anywhere, and on any device. According to National Institute of Standards and Technology (NIST), Cloud Computing (CC) is a scheme for enabling convenient, on-demand network access to a shared pool of configurable computing pores (for example networks, applications, storage, servers and services) which could be promptly foresighted and delivered with minimal management effort or service provider interaction. This paper proposed an efficient algorithm for advanced scalable Media-based Smart Big Data (3D, Ultra HD) on Intelligent Cloud Computing systems. The proposed encoding algorithm outperforms the conventional HEVC standard which demonstrated by the performance evaluations. In order to ratify the proposed approach in addition, a relative study has been carried out. The proposed method could be used and integrated into HEVC, as a Smart Big Data, without violating the standard.

Link

Efficient IoT-based sensor BIG Data collection-processing and analysis in Smart Buildings

Future Generation Computer Systems

Abstract:

Internet of Things (IoT) provides to everyone new types of services in order to improve everyday life. Through this new technology, other recently developed technologies such as Big Data, Cloud Computing, and Monitoring could take part. In this work, we survey the four aforementioned technologies in order to find out their common operations, and combine their functionality, in order to have beneficial scenarios of their use. Despite the boarder concept of a smart city, we will try to investigate new systems for collecting and managing sensors’ data in a smart building which operates in IoT environment. As a bases technology for the proposed sensor management system, a cloud server would be used, collecting the data that produced from each sensor in the smart building. These data are easy to be managed and controlled from distance, by a remote (mobile) device operating on a network set up in IoT technology. As a result, the proposed solutions for collecting and managing sensors’ data in a smart building could lead us in an energy efficient smart building, and thus in a Green Smart Building.

Link

Algorithms for Big Data in Advanced Communication Systems and Cloud Computing

19th IEEE Conference on Business Informatics 2017 (CBI2017)

Awarded

Abstract:

Communication Systems are becoming significant in many areas of modern everyday life. Through this field several technologies grow and contribute to the improvement of people’s everyday life. Big Data (BD) appears as a technology created and developed through communication systems. Big Data refers to the large-scale amounts of data used, transferred and managed through a network. Due to data usage and even large-scale amounts of data, the use of storage space without restrictions on its use becomes necessary. This storage space provided through a technology called Cloud Computing (CC). This technology mentions to a substructure in which data storage and data processing occur in real time outside of the user’s device. This work surveys BD and CC and their basic features, with a focus on the security and privacy issues of both technologies. In addition to this, we will try to combine the functionality of BD and CC with the aim to examine the frequent features, and also to discover the benefits related in security issues of their integration.

Link

Efficient Large-Scale Medical Data (eHealth Big Data) Analytics in Internet of Things

International Workshop on the Internet of Things and Smart Services (ITSS2017) in 19th IEEE International Conference on Business Informatics (CBI’17)

Abstract:

Recent technologies such as Big Data could be used in order to help the improvement of other fields except for the telecommunication field. Due to the Health field, the Big Data technology could contribute with the aim to help for the purpose of analysis and management of the huge amounts of health data. The main objective of this research proposal is an analytical study of the technologies IoT, Cloud Computing (CC) and large-scale data (Big Data) to resolve various issues facing the health sector in relation to these technologies. The purpose of the research proposal is the collection of medical (e-health) big data in real time. The collection will be performed by sensor devices and actuators, which will wear patients who suffer from various ailments. Then is following, the transfer of these data through a network to a cloud server. Additionally, these data will be processed in the cloud which makes its analysis so as to become meaningless. By the analysis of these data is done the data mining. Finally, to address the various problems in the health sector, the transfer of the analyzed health data will be held by the devices of the relevant persons. Also, in our study, we will deal with the security of medical data which constitute personal data and must be protected.

Link

Architecture for Security in IoT Environments

in Proceedings of 26th IEEE International Symposium on Industrial Electronics, 19-21 June 2017, Edinburgh, Scotland, UK

Abstract:

The focus of this paper is to propose an integration between Internet of Things (IoT) and Video Surveillance, with the aim to satisfy the requirements of the future needs of Video Surveillance, and to accomplish a better use. IoT is a new technology in the sector of telecommunications. It is a network that contains physical objects, items, and devices, which are embedded with sensors and software, thus enabling the objects, and allowing for their data exchange. Video Surveillance systems collect and exchange the data which has been recorded by sensors and cameras and send it through the network. This paper proposes an innovative topology paradigm which could offer a better use of IoT technology in Video Surveillance systems. Furthermore, the contribution of these technologies provided by Internet of Things features in dealing with the basic types of Video Surveillance technology with the aim to improve their use and to have a better transmission of video data through the network. Additionally, there is a comparison between our proposed topology and relevant proposed topologies focusing on the security issue.

Link

Efficient and Secure Big Data delivery in Cloud Computing

Multimedia Tools and Applications

Abstract:

Big Data (BD) is a new technology which rapidly growing in the telecommunications sectors, especially in the contemporary field of wireless telecommunications. Another technology that grows rapidly in the field of wireless telecommunications is Cloud Computing (CC). CC concerns an infrastructure where data storage and processing take place outside of the user’s device. Both of them face security and privacy issues in their function. In order to improve them and to optimize their privacy and security issues conducted the present survey. In this paper, we survey BD and CC technology and their basic characteristics, with a focus on the security and privacy issues of both technologies. Specifically, we try to combine the functionality of the two technologies (i.e BD and CC) with the aim to examine the frequent features, and also to discover the benefits related in security issues of their integration. Concluding, we present a new method of an algorithm that can be used for the purpose of improving Cloud Computing’s security through the use of algorithms that can provide more privacy in the data related to Big Data technology. At the end, there is a survey about the challenges of the integration of BD and CC related to their security level.

Link

Secure integration of IoT and Cloud Computing

Future Generation Computer Systems

Abstract:

Mobile Cloud Computing is a new technology which refers to an infrastructure where both data storage and data processing operate outside of the mobile device. Another recent technology is Internet of Things. Internet of Things is a new technology which is growing rapidly in the field of telecommunications. More specifically, IoT related with wireless telecommunications. The main goal of the interaction and cooperation between things and objects which sent through the wireless networks is to fulfill the objective set to them as a combined entity. In addition, there is a rapid development of both technologies, Cloud Computing and Internet of Things, regard the field of wireless communications. In this paper, we present a survey of IoT and Cloud Computing with a focus on the security issues of both technologies. Specifically, we combine the two aforementioned technologies (i.e Cloud Computing and IoT) in order to examine the common features, and in order to discover the benefits of their integration. Concluding, we present the contribution of Cloud Computing to the IoT technology. Thus, it shows how the Cloud Computing technology improves the function of the IoT. Finally, we survey the security challenges of the integration of IoT and Cloud Computing.

Link

Recent advances delivered by Mobile Cloud Computing and Internet of Things for Big Data applications: a survey

International Journal of Network Management

Abstract:

The Internet of Things (IoT) is a new technology that is growing rapidly in the field of telecommunications and especially in the modern field of wireless telecommunications. The main goal of the interaction and cooperation between things and objects sent through the wireless networks is to fulfill the objective set to them as a combined entity. In addition, based on the technology of wireless networks, both the technologies of Mobile Cloud Computing (MCC) and IoT develop rapidly. In this paper, we combine the two aforementioned technologies (i.e., MCC and IoT) with the technology of the Big Data in order to examine the common features and tο discover which of the MCC and IoT benefits improve the use of the Big Data applications. Finally, we present the contribution of MCC and IoT individually to the technology of Big Data.

Link

Mobile Cloud Computing in 4G Networks (LTE)

in Proceedings of 2nd Student Conference of Applied Informatics (FSTEP 2015), 2 December 2015, Thessaloniki, Greece

Abstract:

....

Link

Portfolio

Here are listed the major gategories of project samples that I have made.

3D Studio Max here
Unreal Editor - UDK here
Adobe Flash here
Videos here
Web Sites here
Android Studio here

Projects

Project Title Description Staus
1. Communications Systems. Speciality: "Algorithms for Big Data in Telecommunications and Cloud Computing"

The subject of my doctoral dissertation is the scientific field of Communication Systems and more specifically of the Big Data and Cloud Computing technologies that are related and developed on it. Hence, it resulting the title of my doctoral research, which is "Big Data and Algorithms for Big Data in Telecommunications and Cloud Computing". As can be deduced directly from the title, my doctoral research is mainly related to the study of the management, analysis and transfer of Large Scale Data in a Cloud Computing environment. This field of research is one of the most up-to-date and special interest fields of the modern era, as the tendency to use both data in general and large-scale data is increasingly being created, especially in an environment outside the user's computer system which is offered through Computational Cloud technology.

In this dissertation the aim is to analyze the basic principles, methods and algorithms of the Large Scale Data and the Computational Flood, as well as the related technologies in all their possible research implications. Particular emphasis will be placed on the key features of these technologies, focusing on the security and protection issues of the two technologies related to data management, analysis and transfer. In addition, through this PhD research, an attempt will be made to combine the functionality of Big Data and Cloud Computing technologies to examine their "common" features in order to discover the benefits of integrating them into security, protection and privacy in managing, analyzing and transferring data. Thus, an effort will be made to propose new innovative network architecture models that offer a safer and more energy-efficient environment, as well as new innovative methods and algorithms for encrypting and managing Big Data in a Cloud Computing environment through the completion of my research activity.

On going - Searching for Funding
2. Collection, Processing, and transfering of e-Health Big Data in real time via Internet of Things

The aim of the research proposal is to analyze the Internet of Things, Big Data and Cloud Computing technologies in order to solve the various issues faced by the health sector in relation to these technologies.

The purpose of the research proposal is to collect real-time medical data (e-health Big Data). The collection will be carried out by sensors and actuators, which will be worn in patients with wearable devices suffering from various conditions. Then they are transferred (in real time) through our network to a Cloud Server. Additionally, they will be processed in Cloud Computing where they will be analyzed to make sense. From the analysis of these data will be the mining of knowledge. Finally, in order to address the various health problems, we will transfer the analyzed health data (in real time) to smartphones, tablets, PDAs, laptops, and so on) of the responsible persons (doctors, other family members, etc.).

Additionally, in our research we will also deal with the safety of medical data, which are personal data and must be protected. That is why we will apply innovative methods to codify them. We will also develop and implement a communication protocol that will provide secure transmission of health data, as well as provide encryption using cryptographic algorithms that we will process.

Paused - Searching for Funding
3. New challenges for novel telecommunication network models based on integration scearios of Cloud Computing and Internet of Things with Big Data with the effort of Compressive Sensing

The purpose of this research program is to create original results and to promote and disseminate specific scientific results. It is therefore necessary that the research results that will emerge will be presented at international conferences organized by scientific associations recognized by the wider research community.

Paused - Searching for Funding
4. Smart Interconnected Interactive Classroom

In the context of this proposal, we suggest the creation of a specialized pedagogical augmented - virtual reality laboratory. In this workshop, there will be a plethora of educational tools/experiments that will use the augmented virtual reality to maximize the learning outcomes. Knowledge will not only be acquired through the traditional teacher-centered way of teaching but through the experiential learning. Primary role in this experiential learning will be given to the sense of touch alongside the sense of hearing and vision. In addition to the physical presence in the laboratory, the student will be able to participate in the laboratory experiments from the Internet. Schools of primary and secondary education will be able to connect to the augmented reality lab via the Internet from their school's computer labs with the help of their teachers and the school's IT teacher. This lab will also be used by people with special needs. The University of Macedonia, since it hosts Postgraduate Programs specializing in Lifelong Learning and Special Needs Education, will be able to use this laboratory to help its students to deepen research into special education. To this end, we propose the creation of a classroom with twenty augmented reality workstations where each station will contain sensors for recording the student's senses and tactile devices for student interaction with the educational material.

Paused - Searching for Funding
5. Haptic Project for colour recognition by blind people

In this research, we have implemented a computer program thanks to the XML language for sensing by using haptic/tactile devices of the difference in image color depth. By using Bump Map and tools such as Autodesk's 3D Studio Max, Adobe Photoshop and Adobe Illustrator, we were able to get the desired result. The haptic devices used for the experiments were the PHANTOM Touch and the PHANTOM OImni R of 3D Systems. The programs which were installed and configured properly so as to model the surfaces, run the experiments, and finally achieve the desired goal are H3D Api, Geomagic_OpenHaptics and OpenHaptics_Developer_Edition. The purpose of this project was to feel different textures, shapes and objects in the images, by using a haptic device. The initial goal was to compile “from scratch” (from beginning) so as to display images on the screen and interact with them through the haptic device.

Paused - Searching for Funding
6. Implementation of Enhanced Reality System, thematic guidance and tactile interactivity in thematic Museums using new technologies (Augmented Interactive Museum)

The main objective of the present research proposal is to financially support the creation of new services of enhanced guidance and automated visitor guided tour as well as the creation of interactive services of voice guidance and interaction of the Museum with the visitor where this is feasible. In addition, visitors will be able to interact tactically with museum exhibits, which will promote visitor exposure and help specific sections of the population with vision problems or motor problems to be able to interact tactically with touch sensitive exhibits, and tour the scattered museums-exhibits-monuments. The pilot application of the proposal will be tested on three thematic axes of the 17th-18th century at the exhibits of the region of Ioannina. In summary, the project will provide an appropriate infrastructure for thematic guidance and interactivity of the visitor using new technologies that will ensure a smooth flow of events and a comprehensive presentation of the events of the 17th-18th century located scattered in the region of Ioannina.

Paused - Searching for Funding