.01

Information

Personal information
Lefkippou 6, Xanthi, 67131, Greece
mapiconimg
dimitrios@vezeris.gr
0030 2541 20 00 30
University teacher, PhD, MBA Electrical & Computer Engineer, CEO of the ΙΩΝΙΚΗ business group.

Dimitrios Vezeris

History

Dimitrios Vezeris is a University Teacher at the International Hellenic University, where he teaches entrepreneurship and operational research courses in the Department of Physics - Electrical Engineering.

He also manages the IONIKI business group which has a portfolio of 8 companies.

He is an Electrical and Computer Engineer with a PhD in finance with artificial intelligence trading systems, a master's degree in information technology, and a master's degree in international economic and business relations.

Through the engineering firm, ΙΩΝΙΚΗ Engineering, he has supervised and prepared permits and designs for factories, businesses and dwellings. In particular, he has overseen the construction of building and electromechanical projects, as well as renewable energy projects.

Moreover, he has designed and supervised the development of CITIBILL cloud platform that provides software services to public entities, individuals, professionals and companies.

Statistics

Academic publications statistics

- 2nd place in the category "Most Cited" for the last 12 months for the article "Take Profit and Stop Loss Trading Strategies Compared to a MACD Trading System" in the journal Journal of Risk and Financial Management.

- 7th place in the category "Most Cited" for the last 24 months for the article "Take Profit and Stop Loss Trading Strategies Compared to a MACD Trading System" in the journal Journal of Risk and Financial Management.

- 3rd place in the category "Most Viewed" for the last 12 months for the article "Take Profit and Stop Loss Trading Strategies Compared to a MACD Trading System" in the journal Journal of Risk and Financial Management.

- 8η θέση στην κατηγορία “Most Viewed” για τους τελευταίους 24 μήνες for the article "Take Profit and Stop Loss Trading Strategies Compared to a MACD Trading System" in the journal Journal of Risk and Financial Management.

Reviews

Reviews in scientific journals

Vezeris Dimitrios is a reviewer in the following journals:

Journal of Risk and Financial Management, MDPI

Sustainability, MDPI

Computational Economics, Springer

Social Networks

Social networking profiles and websites

ΙΩΝΙΚΗ website: Dimitris Vezeris

Researchgate profile: Dimitrios Th Vezeris

LinkedIn profile: Dimitrios Vezeris

Google Scholar profile: Dimitrios Vezeris

ORCID profile: Dimitrios Vezeris

Curricula vitae

Download academic and professional curricula vitae

Download academic curriculum vitae here.

Download professional curriculum vitae here.

.02

Entrepreneurship

Vezeris Dimitrios has expanded his business activity by establishing and managing the business group, ΙΩΝΙΚΗ, which has stake at companies in the fields of Engineering, Computer Science and Finance.

The majority of ΙΩΝΙΚΗ’s subsidiaries have been established by himself and lately the group has expanded, participating in companies that aim at both scientific and social promotion.

CITIBILL

Cloud software company through the homonymous platform. The purpose of the company is to constantly implement software with improvements and new developments, which bridges the collaborations between citizens and the public, entities, professionals and companies. Through the CITIBILL cloud platform, users implement request processing, problem solving, organization of repairs and constructions as well as payments and account management. 

ΙΩΝΙΚΗ Holdings

Business development company with main activity the business units development of new and existing businesses, regardless of their current status. The company was founded by himself and aims at balanced business and social development, transforming successful business units with the contribution of academics, university professors and market experts.

ΙΩΝΙΚΗ Finance

Financial firm with main activities the preparation of financial studies, the submission of financial dossiers and investment consulting for companies active in the fields of industry, tourism, RES and technology.

To date it has helped its clients raise more than €85 million in funding through national programmes.  

ΙΩΝΙΚΗ Engineering

Engineering firm. It was established by himself in 2003 and its main activities are the implementation of design studies, licensing and construction of companies belonging to the sectors of industry and tourism.

ΙΩΝΙΚΗ Engineering is the cornerstone of the group as it was the first company founded by Vezeris Dimitrios as an Electrical Engineer and now has a successful presence in Eastern Macedonia and Thrace, and has undertaken major projects abroad as well.

Recently, the company opened offices in Athens and Cyprus aiming to expand in and out of the Greek borders.   

ΙΩΝΙΚΗ Renewables

RES technologies development company with main activity the installation of photovoltaic parks, photovoltaics for businesses and photovoltaics for homes. To date, it has completed over 35 installations of photovoltaic systems.

Envirosol

An environmental analysis company that operates in the region of Eastern Macedonia and Thrace and specializes in performing environmental audit analyzes, offering comprehensive services and solutions.

ΙΩΝΙΚΗ Technologies

Company of information technologies and provision of cloud infrastructure services (Infrastructure & Platform As A Service - IAAS & PAAS). The purpose of the company is defined as the provision of internet infrastructure & scientific research and development in computer and information sciences. Additionally, management, technical support and IT development services are provided.

ΙΩΝΙΚΗ Properties

Property management company. The purpose of the company, which is staffed by an excellent network of associates, lawyers and consultants, is to provide movable and immovable assets in the group companies.

.03

Academics

Entrepreneurship lectures

Lecture I - Entrepreneurship

From the conception of the idea to the implementation and integration of the product / service into the market, processes are established that are framed by the definition of the term entrepreneur.

Download it here.

Lecture II - Establishing a business

Establishing a business, always in its legal form, requires appropriate steps and procedures to meet the requirements of law, commercial law, chambers of commerce, insurance funds and income tax.

Download it here.

Lecture III - Organization

Segmentation means the division of all the responsibilities of the enterprise, which is subdivided into categories, subdivisions. The design of the business segmentation can be qualitative and quantitative.

Download it here.

Lecture IV - Management

Organizing and coordinating the activities of a business to achieve defined goals. Μanagement is often included as a production factor along with machines, materials and money.

Download it here.

Lecture V - Marketing

Marketing is the process of promoting a business / organization's products or services. It is the identification of customer needs, the identification of the product / service market, the development of retention capabilities and the creation of new customers, and the ways in which demand for the product / service is reduced.

Download it here.

Lecture VI - Sales

Sale is the contract between persons (natural or legal) in which one of the two parties undertakes to transfer the ownership of one thing (right, property, etc.) to the other party for a pre-agreed price.

Download it here.

Lecture VII - Production organization

Production organization and management is defined as the combination of design, programming, operation and improvement of the type of one or more production systems.

Download it here.

Lecture VIII - Human Resources Management

Good human resource management (HRM) is essential for businesses of all sizes. Human Resource Management is the practice of managing people to achieve better performance.

Download it here.

Business plans

COSMOS4U 2014-2018 Business plan

COSMOS4U 2014 business plan

COSMOS4U 2015 business plan

COSMOS4U 2016 business plan

COSMOS4U 2017 business plan

COSMOS4U 2018 business plan

Operational research lectures

Dijkstra algorithm

The most well known network resolving algorithms are the Dijsktra and Floyd algorithms. Here we consider the Dijsktra algorithm assuming that the Floyd algorithm belongs to Dijkstra.

Download it here.

Graphics & Simplex Method

Linear Programming (LP), or linear optimization, is a method of achieving the best result (for example: maximum profit or minimum cost) in a mathematical model whose conditions (constraints) are a set of linear relationships of its variables.

Download it here.

Bellman – Ford algorithm

Like the Dijkstra algorithm, the Bellman-Ford is applied with relaxation, in which the estimates at the right distance are replaced by better ones until we finally reach the solution.

Download it here.

.04

Publications

Publications list
ALL
SORTING BY DATE
17 Jun 2020

Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets

Business Perspectives, Volume 17 2020, Issue #2, pp. 198-215

Given the popularity and propagation of automated trading systems in financial markets among institutional and individual traders in recent decades, this work attempts to compare and evaluate such ten systems based on different popular technical indicators in combination – for the first time – with the d-Backtest PS method for parameter selection. The systems use the technical indicators of Moving Averages (MA), Average Directional Index (ADX), Ichimoku Kinko Hyo, Moving Average Convergence/Divergence (MACD), Parabolic Stop and Reverse (SAR), Pivot, Turtle and Bollinger Bands (BB), and are enhanced by Stop Loss Strategies based on the Average True Range (ATR) indicator.

See publication
Journals Dimitrios Vezeris, Themistoklis Kyrgos, Ioannis Karkanis, Vasiliki Bizergianidou

Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets

Dimitrios Vezeris, Themistoklis Kyrgos, Ioannis Karkanis, Vasiliki Bizergianidou
Journals
Περίληψη
Given the popularity and propagation of automated trading systems in financial markets among institutional and individual traders in recent decades, this work attempts to compare and evaluate such ten systems based on different popular technical indicators in combination – for the first time – with the d-Backtest PS method for parameter selection. The systems use the technical indicators of Moving Averages (MA), Average Directional Index (ADX), Ichimoku Kinko Hyo, Moving Average Convergence/Divergence (MACD), Parabolic Stop and Reverse (SAR), Pivot, Turtle and Bollinger Bands (BB), and are enhanced by Stop Loss Strategies based on the Average True Range (ATR) indicator. See publication
17 Dec 2019

Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method

Computational Economics

Trading strategies intended for high frequency trading in Forex markets are executed by cutting-edge automated trading systems. Such systems implement algorithmic trading strategies and are configured with predefined optimized parameters in order to generate entry and exit orders and execute trades on trading platforms. Three high-frequency automated trading systems were developed in the current research, using the MACD (oscillator), the SMA (moving average) and the PIVOT points (price crossover) technical indicators.

See publication
Journals D. Th. Vezeris, C. J. Schinas, Th. S. Kyrgos, V. A. Bizergianidou, I. P. Karkanis

Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method

D. Th. Vezeris, C. J. Schinas, Th. S. Kyrgos, V. A. Bizergianidou, I. P. Karkanis
Journals
Περίληψη
Trading strategies intended for high frequency trading in Forex markets are executed by cutting-edge automated trading systems. Such systems implement algorithmic trading strategies and are configured with predefined optimized parameters in order to generate entry and exit orders and execute trades on trading platforms. Three high-frequency automated trading systems were developed in the current research, using the MACD (oscillator), the SMA (moving average) and the PIVOT points (price crossover) technical indicators. See publication
08 Jun 2019

AdTurtle: An Advanced Turtle Trading System

Journal of Risk and Financial Management 12 (2), 96

For this research, we implemented a trading system based on the Turtle rules and examined its efficiency when trading selected assets from the Forex, Metals, Commodities, Energy and Cryptocurrency Markets using historical data.

See publication
Journals Dimitrios Vezeris, Ioannis Karkanis, Themistoklis Kyrgos

AdTurtle: An Advanced Turtle Trading System

Dimitrios Vezeris, Ioannis Karkanis, Themistoklis Kyrgos
Journals
Περίληψη
For this research, we implemented a trading system based on the Turtle rules and examined its efficiency when trading selected assets from the Forex, Metals, Commodities, Energy and Cryptocurrency Markets using historical data. Afterwards, we enhanced our Turtle-based trading system with additional conditions for opening a new position. Specifically, we added an exclusion zone based on the ATR indicator, in order to have controlled conditions for opening a new position after a stop loss signal was triggered. Thus, AdTurtle was developed, a Turtle trading system with advanced algorithms of opening and closing positions. To the best of our knowledge, for the first time this variation of the Turtle trading system has been developed and examined. See publication
01 Oct 2018

Hedging and non-hedging trading strategies on commodities using the d-Backtest PS method

Investment Management and Financial Innovations 15 (3), 351-369

In this research, a piece of software of an automatic high frequency trading system was developed, based on the technical indicator PIVOT (price level breakthrough). The system made transactions on hourly closing prices with weekly parameters optimization period, using the d-Backtest PS method.

See publication 
Journals Dimitrios Vezeris, Themistoklis Kyrgos, Christos Schinas

Hedging and non-hedging trading strategies on commodities using the d-Backtest PS method

Dimitrios Vezeris, Themistoklis Kyrgos, Christos Schinas
Journals
Περίληψη
Modern trading systems are mechanic, run automatically on computers inside trading platforms and decide their position against the market through optimized parameters and algorithmic strategies. These systems now, in most cases, comprise high frequency traders, especially in the Forex market. In this research, a piece of software of an automatic high frequency trading system was developed, based on the technical indicator PIVOT (price level breakthrough). The system made transactions on hourly closing prices with weekly parameters optimization period, using the d-Backtest PS method. Through the search and checking of the results, two findings for optimization of trading strategy were found. These findings with the order they were examined and are presented in this paper are as follows: (1) the simultaneous use of “long and short” positions, with different parameters in a hedging account, acts as a hedging strategy, minimizing losses, in relation to a “long or short” in a non-hedging account for the same time period and (2) there is weak correlation of past backtesting periods between the same systems, if they are configured for “long and short” trades, or for just “long” or for just “short”. See publication 
19 Sep 2018

Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System

J. Risk Financial Manag. 2018, 11(3), 56

In this paper, we examine various strategies added to a simple MACD automated trading system and used on selected assets from Forex, Metals, Energy, and Cryptocurrencies categories and afterwards, we compare and contrast their results.

See publication
Journals Dimitrios Vezeris, Themistoklis Kyrgos, Christos Schinas

Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System

Dimitrios Vezeris, Themistoklis Kyrgos, Christos Schinas
Journals
Περίληψη
A lot of strategies for Take Profit and Stop Loss functionalities have been propounded and scrutinized over the years. In this paper, we examine various strategies added to a simple MACD automated trading system and used on selected assets from Forex, Metals, Energy, and Cryptocurrencies categories and afterwards, we compare and contrast their results. We conclude that Take Profit strategies based on faster take profit signals on MACD are not better than a simple MACD strategy and of the different Stop Loss strategies based on ATR, the sliding and variable ATR window has the best results for a period of 12 and a multiplier of 6. For the first time, to the best of our knowledge, we implement a combination of an adaptive MACD Expert Advisor that uses back-tested optimized parameters per asset with price levels defined by the ATR indicator, used to set limits for Stop Loss. See publication
01 Aug 2018

Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation

International Journal of Trade, Economics and Finance, Vol. 9, No. 4, 170-173

State-of-the-art trading systems are automated and are executed on computers through trading platforms. They generate and execute trades, based on optimized parameters and algorithmic trading strategies. In the current research, such software for automated trading systems was developed, utilizing the following technical indicators, the MACD (oscillator), the SMA (moving average) and the PIVOT points (price crossover).

See publication
Journals D. Th. Vezeris, C. J. Schinas

Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation

D. Th. Vezeris, C. J. Schinas
Journals
Περίληψη
State-of-the-art trading systems are automated and are executed on computers through trading platforms. They generate and execute trades, based on optimized parameters and algorithmic trading strategies. In the current research, such software for automated trading systems was developed, utilizing the following technical indicators, the MACD (oscillator), the SMA (moving average) and the PIVOT points (price crossover).The systems traded on hourly timeframes, using historical data of closing prices over weekly based periods of parameters’ optimization and using the d- Backtest PS method. Through this research, and the interpretation and evaluation of results, two findings or rather conclusions were drawn. These findings are presented sequentially as follows: In terms of profitability, the adaptive MACD trading system was the most effective one, followed by PIVOT trading system and the SMA was ranked as the least profitable trading system. There is a weak correlation of back testing periods among the above trading systems. See publication
02 Dec 2016

Profitability Edge by Dynamic Back Testing Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting

Computational Economics 51(2):1-47

It is common nowadays for calculations of technical indicator values to be used along with the prices of securities or shares, as training data in fuzzy, hybrid and support vector machine/regression (SVM/SVR) systems. Whether the data are used in fuzzy systems, or for SVM and SVR systems training, the historical data period selection on most occasions is devoid of validation. In this research we designate historical data as training data.

See publication
Journals D. Th. Vezeris, C. J. Schinas, G. Papaschinopoulos

Profitability Edge by Dynamic Back Testing Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting

D. Th. Vezeris, C. J. Schinas, G. Papaschinopoulos
Journals
Περίληψη
Back testing process is widely used today in forecasting experiments tests. This method is to calculate the profitability of a trading system, applied to specific past period. The data which are used, correspond to that specific past period and are called “historical data” or “training data”. There is a plethora of trading systems, which include technical indicators, trend following indicators, oscillators, control indicators of price level, etc. It is common nowadays for calculations of technical indicator values to be used along with the prices of securities or shares, as training data in fuzzy, hybrid and support vector machine/regression (SVM/SVR) systems. Whether the data are used in fuzzy systems, or for SVM and SVR systems training, the historical data period selection on most occasions is devoid of validation (In this research we designate historical data as training data). We substantiate that such an expert trading system, has a profitability edge—with regard to future transactions—over currently applied trading strategies that merely implement parameters’ optimization. Thus not profitable trading systems can be turned into profitable. To that end, first and foremost, an optimal historical data period must be determined, secondarily a parameters optimization computation must be completed and finally the right conditions of parameters must be applied for optimal parameters’ selection. In this new approach, we develop an integrated dynamic computation algorithm, called the “d-BackTest PS Method”, for selection of optimal historical data period, periodically. In addition, we test conditions of parameters and values via back-testing, using multi agent technology, integrated in an automated trading expert system based on Moving Average Convergence Divergence (MACD) technical indicator. This dynamic computation algorithm can be used in Technical indicators, Fuzzy, SVR and SVM and hybrid forecasting systems. See publication
01 Jan 2020

Al and Financial Markets book chapter

MDPI ISBN 978-3-03936-224-0

The application of AI technology to the analysis of financial markets has received significant attention due to the development of information processing technology, especially deep learning. This Special Issue is a collection of 10 articles on “AI and Financial Markets” and contains four articles on machine learning, two articles based on agent-based artificial market simulation and, four articles on the application of other approaches, and one concept article.

Read the book
Book publications D. Vezerris

Al and Financial Markets book chapter

D. Vezerris
Book publications
Περίληψη
Η εφαρμογή της τεχνολογίας τεχνητής νοημοσύνης στην ανάλυση των χρηματοοικονομικών αγορών έχει λάβει σημαντική προσοχή λόγω της ανάπτυξης της τεχνολογίας επεξεργασίας πληροφοριών, ιδίως της βαθιάς μάθησης. Αυτό το ειδικό τεύχος είναι μια συλλογή από 10 άρθρα σχετικά με το «AI και Financial Markets» και περιέχει τέσσερα άρθρα σχετικά με τη μηχανική εκμάθηση, δύο άρθρα που βασίζονται σε τεχνητή προσομοίωση αγοράς και, τέσσερα άρθρα σχετικά με την εφαρμογή άλλων προσεγγίσεων και ένα άρθρο έννοιας.
01 Jan 2019

Empirical Finance book chapter

MDPI ISBN 978-3-03897-706-3

When trading on an asset, investors are exposed to a potentially high risk if the price moves towards a direction which is the opposite from the one they had anticipated. This could result in considerable losses in the investment capital, unless immediate action is taken to exit the non-profitable position as soon as possible. On the other hand, if the price moves towards a direction that makes the current position profitable, an investor might want to close the position and cash in the profits gained so far, as there is always the possibility that winning trades could turn into losing positions and lead to catastrophic losses.

Read the book
Book publications D. Vezeris

Empirical Finance book chapter

D. Vezeris
Book publications
Περίληψη
Όταν διαπραγματεύονται ένα περιουσιακό στοιχείο, οι επενδυτές εκτίθενται σε δυνητικά υψηλό κίνδυνο εάν η τιμή μετακινηθεί προς μια κατεύθυνση που είναι αντίθετη από αυτήν που περίμεναν. Αυτό θα μπορούσε να οδηγήσει σε σημαντικές απώλειες στο επενδυτικό κεφάλαιο, εκτός εάν ληφθούν άμεσα μέτρα για έξοδο από το μη κερδοφόρα θέση το συντομότερο δυνατό. Από την άλλη πλευρά, εάν η τιμή κινείται προς μια κατεύθυνση που κάνει την τρέχουσα θέση κερδοφόρα, ένας επενδυτής μπορεί να θέλει να κλείσει τη θέση και να εξαργυρώσει τα κέρδη που αποκτήθηκαν μέχρι εκείνο το σημείο, καθώς υπάρχει πάντα η πιθανότητα οι κερδοφόρες συναλλαγές να μετατραπούν σε χαμένες θέσεις και να οδηγήσουν σε καταστροφικές απώλειες.
23 Jun 1995

“MS Visual Basic for Windows ‘95” book publication

PARATIRITIS Publications, ISBN: 9602608595

There are three levels of study of this manual. For beginners, it would be a good idea to start reading from the very first page so that they can get some basic, frequently used, programming data. Those who once had contact with the language, let them freshen their memory starting from the first part.
Book publications Dimitrios Th. Vezeris

“MS Visual Basic for Windows ‘95” book publication

Dimitrios Th. Vezeris
Book publications
Περίληψη
Υπάρχουν τρία επίπεδα μελέτης του εγχειριδίου αυτού. Για τους αρχάριους καλό θα ήταν να αρχίσει η ανάγνωση απ’ την πρώτη κιόλας σελίδα έτσι ώστε να υπάρξει η σχετική ενημέρωση, στα ουσιαστικά, συχνής χρήσης, δεδομένα προγραμματισμού. Όσοι πάλι είχαν κάποτε επαφή με την γλώσσα, ας φρεσκάρουν τη μνήμη τους αρχίζοντας από το πρώτο μέρος. Ο πεπειραμένος σε Visual Basic χρήστης μπορεί κάλλιστα να κάνει μια γρήγορη ανάγνωση το δεύτερο μέρος και να δει τα νέα στοιχεία της έκδοσης 4.0. Ο αναγνώστης ο οποίος ενδιαφέρεται για συγκεκριμένο τομέα ανάπτυξης εφαρμογών, μπορεί να δει το θέμα μέσα από τα κεφάλαια που τον καλύπτουν. Και στις τρεις αυτές φόρμες μελέτης, χρειάζεται απαραίτητα η εμπέδωση του κεφαλαίου IV με τίτλο «Προγραμματισμός κάτω από Windows». Με το αντικείμενο αυτό θα μπορέσετε να εκμεταλλευτείτε σχεδόν όλες τις δυνατότητες που προσφέρει η Visual Basic και το λειτουργικό σας σύστημα.
.05

Research

Research experience

Research - Create - Innovate

Autonomous and automated trading system

Subject of research: Processing time series in forex market rates.

Research description: The project is about developing an automated trading system for Forex, CFDs, Cryptocurrencies and more. This system will result from the selection, creation and benchmarking of many different automated trading systems based on the d-backtest method, which is a method of dynamically selecting a past period to optimize the parameters of an automated trading system.

.06

Papers

Prediction of gold prices by machine learning methods

The thesis entitled "Forecasting Gold Prices with Econometric and Machine Learning Methods" was prepared as part of the studies for the Master's Degree in "International Economic and Business Relations". The gold market is one of the largest in the world, with daily trading volume exceeding $100 billion (USD) according to the World Gold Council.

Download it here.

State aid to Skaramanga

The thesis entitled "State Aid for Skaramanga" was prepared as part of the studies for the Master's Degree in "International Economic and Business Relations" and concerns the study and conclusions of the judgment of the General Court of 15 May 2012 for Case T-391/08, Hellenic Shipyards SA, based in Skaramaga (Greece).

Download it here.

Factor data analysis

The thesis entitled "Data Analysis by Factor Analysis" was prepared as part of the studies for the Master's Degree in "International Economic and Business Relations".

Download it here.

Strata Model

The thesis entitled "The Stratified Model Theory in Human Resource Management" was developed as part of the studies for the Master's Degree in "International Economic and Business Relations". In Eberhard Dulfer's Strata Model, a model of a cross-cutting approach to human resource management in a multinational corporation's premises in foreign countries is presented.

Download it here.

PWM and SWITCHING technologies

The thesis entitled "PWM and SWITCHING technologies" was prepared as part of the studies for the Master's Degree in Electrical Engineering & Computer Engineering, in the field of Electronics and Computer Systems Technology. PWM is a way of digitally coding analogue level signals to reduce system costs and energy consumption.

Download it here.

Steganography

Thesis entitled "Steganography" was prepared as part of the studies for the Master's Degree in Electrical and Computer Engineering, in the course of Cryptography. Steganography is not exactly Cryptography, but it is certainly a means of protecting information in the field of security.

Download it here.

New website development technology on the Semantic Web

The thesis entitled: "Technology for the development of new websites in the Semantic Web" was prepared as part of the studies for the Master's Degree in Electrical Engineering & Computer Engineering. The Semantic Web is the evolution of the World Wide Web (WWW).

Download it here.

.07

Curriculum Vitae

Teaching experience
  • 2019
    2021

    University teacher

    Department of Physics - Electrical Engineering, at International Hellenic University.

    Courses: a) Entrepreneurship, b) Operational research
Education
  • 2018

    PhD in finance with artificial intelligence trading systems

    Department of Electrical & Computers Engineering of Xanthi’s faculty of Engineering, at Democritus University of Thrace

    Thesis: "Fuzzy coefficients in regression models, financial software development"

    Supervisors: Professors C. Schinas, G. Papaschinopoulos, D. Georgiou, V. Papadopoulos, G. Sarafopoulos, E. Katsiri, S. Chatzichristofi.
  • 2014

    Master's in International Finance & Business Relationships

    Department of Economics at Democritus University of Thrace

  • 2012

    Master's in Microelectronics & Information Systems

    Department of Electrical & Computers Engineering of Xanthi's faculty of Engineering, at Democritus University of Thrace

  • 1998

    Bachelor & Master's in Electrical & Computers Engineering

    Department of Electrical & Computers Engineering of Xanthi's faculty of Engineering, at Democritus University of Thrace

Professional experience
  • 2003
    Today

    Founder & CEO

    ΙΩΝΙΚΗ Engineering / Engineering & Consultancy Firm

    A company that conducts business projects of engineers and consultants, integrates businesses into development laws and builds industries.
  • 2007
    Today

    Founder & CEO

    COSMOS4U / Engineering and IT company

    Company that has developed the cloud account management and payment services platform, CITIBILL and the automated forex trading software, CITINVEST.
  • 2001
    2002

    Construction Project Manager

    Electromechanical Xanthis

    Electrical & hydraulic installations
  • 2000
    2001

    Construction Project Manager

    DOMIKI S.A.

    Complete building constructions for industries
Conferences
  • 2021

    Participation & Thesis presentation

    CHAOS 2021

    “Chaotic Behavior in Duopoly Market and application of the d-Backtest Method” participation & thesis presentation, 14th Chaotic Modeling and Simulation International Conference, Athens, Greece.
  • 2018

    Thesis presentation

    ICEFR 2018

    “Performance comparison of three automated trading systems (MACD, PIVOT and SMA) by means of the d-Back test PS implementation” thesis presentation, 7th International Conference on Economics and Finance Research, Prague, Czech Republic.
Awards, fellowships & grants
  • 2017

    Research - Create - Innovate

    €151.064,32 grant

    Co-financing of €151,064.32 by the European Union and national resources for the research "Autonomous and automated trading system" of the Research - Create - Innovate program.
  • 2015

    Α’ excellence award

    Fellowship

    Graduate in 1st place with scholarship in the postgraduate Department of Economics of the Democritus University of Thrace.
.08

Contact

Contact Dimitrios Vezeris
en_GBEnglish (UK)
elΕλληνικά en_GBEnglish (UK)