Dimitrios Vezeris
General Director
d.vezeris@ioniki.net | +30 2541 306 233
Dimitrios Vezeris is a Lecturer at the Department of Civil Engineering of the Polytechnic School of Xanthi, at the Democritus University of Thrace, teaching the courses of Engineering Economics, Operational Research, and Management of Technical Projects and Enterprises.
He holds a degree in Electrical Engineering and Computer Engineering, a PhD in Finance, a Master's in Informatics (MIT), and a Master's in International Economic and Business Relations (MBA).
He is the head of the ΙΩΝΙΚΗ business group, which has a portfolio of 4 companies.
Through the group's engineering company, ΙΩΝΙΚΗ Engineering, he has supervised and developed licenses and studies for factories, businesses, and hotels.
Additionally, he has overseen the construction of building and electromechanical projects, as well as renewable energy projects.
Articles
System odpowiedzialnego grania jako narzędzie do kontroli i bezpieczeństwa w grach
W dzisiejszym świecie gier wideo, zapewnienie ochrony bezpieczeństwa gracza stało się niezwykle ważne. Wszyscy uczestnicy tego dynamicznego sektora, od twórców po samych graczy, muszą podjąć
Axle Loading StudyΙΩΝΙΚΗ Consultancy
In the axle loading and stability study, calculations are made regarding the strengths, reactions, and behavior of the vehicle under load based on standard criteria.
Interior Decoration
Is the design of the interior of a building with the aesthetics and the creation of original solutions with quality materials, whether they belong to the category of traditional,
Urban Redevelopment StudyΙΩΝΙΚΗ Consultancy
Is the syntax the study of the integrated design proposals for the redevelopment and improvement of already existing or to be built area (square, commercial projects etc.)
Photorealistic Rendering
Photorealism is called three-dimensional depiction of buildings or other design objects with the help of a computer, with a faithful representation of materials, colors and lighting.
Design of Industries
Σχεδιασμός βιομηχανιών Αναλαμβάνουμε πλήρως την υποστήριξη βιομηχανιών και επιχειρήσεων. Η ΙΩΝΙΚΗ Engineering διαθέτει εξειδικευμένο προσωπικό που μπορεί να παρέχει υπηρεσίες που σχετίζονται με την βιομηχανία σας. Υπηρεσίες Έκδοση έγκρισης παρέκκλισης Έκδοση αδειών Δ/νσης Ανάπτυξης Μελέτες εφαρμογής Τοπογραφικό διάγραμμα Μελέτη εισόδου – εξόδου Αρχιτεκτονική Μελέτη Σχεδιασμός βιομηχανικών χώρων Φωτορεαλιστική απεικόνιση Μελέτη
Projects
Unlocking the Future of Digital Play
In the rapidly evolving world of digital entertainment, the bc game stands out as a beacon of innovation and excitement. This app has managed to
The Impact of Artificial Intelligence on Casino Operations
Artificial intelligence (AI) is changing the casino field by streamlining operations, enhancing customer experiences, and upgrading security protocols. A 2023 report by Deloitte shows that AI systems can increase operational
The Impact of Artificial Intelligence on Casino Operations
Artificial intelligence (AI) is transforming the casino field by streamlining operations and improving customer interactions. In 2023, a report by Deloitte highlighted that AI technologies could increase operational productivity by up
The Impact of Responsible Gambling Initiatives in Casinos
Responsible gambling projects are becoming more vital in the casino field, aiming to encourage safe gaming habits and protect vulnerable players. In 2023, the American Gaming Association (AGA) announced that 80% of casinos in the U.S. have implemented responsible gaming initiatives, which feature self-exclusion options and instructional resources for players. One remarkable figure in this movement is Keith Whyte, the Managing Director of the National Council on Problem Gambling (NCPG). His advocacy for safe gambling has
Lectures
Lecture V
Marketing
Lecture V
Marketing
Publications
Autonomous Multi-Factor Energy Flows Controller (AmEFC):
Enhancing Renewable Energy Management with Intelligent
Control Systems Integration
Dynamics of a Bertrand Duopoly Game of the Greek Oil Market and Application of the d-Backtest Method
Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets
Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method
Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System
Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation
Profitability Edge by Dynamic Back-Testing of Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting
Autonomous Multi-Factor Energy Flows Controller (AmEFC):
Enhancing Renewable Energy Management with Intelligent
Control Systems Integration
Dynamics of a Bertrand Duopoly Game of the Greek Oil Market and Application of the d-Backtest Method
Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets
Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method
Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System
Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation
Profitability Edge by Dynamic Back-Testing of Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting
Development of Software and a Dynamic Artificial Intelligence Method for Time Series Analysis and Optimal Decision Making, with Applications in Trading Systems.
Study and Development of Software for the National Citizens Registry “Citizen’s Card”
Development of Software and a Dynamic Artificial Intelligence Method for Time Series Analysis and Optimal Decision Making, with Applications in Trading Systems.
Study and Development of Software for the National Citizens Registry “Citizen’s Card”
2020-2023: Research Coordinator and Scientific Supervisor
Research Program – Innovate – Create – Innovate (Second Cycle)
Research Title:“Intelligent Energy Management Controller in Hybrid Systems”
Research Subject: Development of an intelligent energy flow controller.
Research Description: This project involves the research and development of AI software and hardware for data collection and automated decision-making for energy management in hybrid electricity generation systems from Renewable Energy Sources (RES), batteries, loads, and a small meteorological station, and the installation of a prototype pilot unit for design optimization and conclusion extraction.
2017 – 2020
Research Program – Innovate – Create – Innovate
Autonomous and Automated Trading System
Research Subject: Time Series Processing in Currency Markets.
Research Description: This project involves the development of an automated trading system for Forex, CFDs, Cryptocurrencies, etc. This system will emerge from the selection, creation, and comparative evaluation of various automated trading systems based on the d-backtest method, which is a dynamic method for selecting past periods to optimize the parameters of an automated trading system.
Dissertations
Autonomous Multi-Factor Energy Flows Controller (AmEFC):
Enhancing Renewable Energy Management with Intelligent
Control Systems Integration
Dynamics of a Bertrand Duopoly Game of the Greek Oil Market and Application of the d-Backtest Method
Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets
Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method
Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System
Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation
Profitability Edge by Dynamic Back-Testing of Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting
Autonomous Multi-Factor Energy Flows Controller (AmEFC):
Enhancing Renewable Energy Management with Intelligent
Control Systems Integration
Dynamics of a Bertrand Duopoly Game of the Greek Oil Market and Application of the d-Backtest Method
Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets
Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method
Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System
Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation
Profitability Edge by Dynamic Back-Testing of Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting
Autonomous Multi-Factor Energy Flows Controller (AmEFC):
Enhancing Renewable Energy Management with Intelligent
Control Systems Integration
Dynamics of a Bertrand Duopoly Game of the Greek Oil Market and Application of the d-Backtest Method
Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets
Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method
Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System
Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation
Profitability Edge by Dynamic Back-Testing of Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting
Autonomous Multi-Factor Energy Flows Controller (AmEFC):
Enhancing Renewable Energy Management with Intelligent
Control Systems Integration
Dynamics of a Bertrand Duopoly Game of the Greek Oil Market and Application of the d-Backtest Method
Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets
Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method
Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System
Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation
Profitability Edge by Dynamic Back-Testing of Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting
Dimitrios Vezeris
General Director
Dimitrios Vezeris is a Lecturer at the Department of Civil Engineering of the Polytechnic School of Xanthi, at the Democritus University of Thrace, teaching the courses of Engineering Economics, Operational Research, and Management of Technical Projects and Enterprises.
He holds a degree in Electrical Engineering and Computer Engineering, a PhD in Finance, a Master's in Informatics (MIT), and a Master's in International Economic and Business Relations (MBA).
Conducting the group of companies ΙΩΝΙΚΗ, with a portfolio of 10 companies.
Through the group's engineering company, ΙΩΝΙΚΗ Engineering, he has supervised and developed licenses and studies for factories, businesses, and hotels.
Additionally, he has overseen the construction of building and electromechanical projects, as well as renewable energy projects.
Lectures
Lecture V
Marketing
Lecture V
Marketing
Publications
Autonomous Multi-Factor Energy Flows Controller (AmEFC):
Enhancing Renewable Energy Management with Intelligent
Control Systems Integration
Dynamics of a Bertrand Duopoly Game of the Greek Oil Market and Application of the d-Backtest Method
Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets
Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method
Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System
Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation
Profitability Edge by Dynamic Back-Testing of Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting
Autonomous Multi-Factor Energy Flows Controller (AmEFC):
Enhancing Renewable Energy Management with Intelligent
Control Systems Integration
Dynamics of a Bertrand Duopoly Game of the Greek Oil Market and Application of the d-Backtest Method
Automated trading systems’ evaluation using d-Backtest PS method and WM ranking in financial markets
Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method
Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System
Performance Comparison of Three Automated Trading Systems (MACD, PIVOT and SMA) by Means of the d-Backtest PS Implementation
Profitability Edge by Dynamic Back-Testing of Optimal Period Selection for Technical Parameters Optimization, in Trading Systems with Forecasting
Development of Software and a Dynamic Artificial Intelligence Method for Time Series Analysis and Optimal Decision Making, with Applications in Trading Systems.
Study and Development of Software for the National Citizens Registry “Citizen’s Card”
Development of Software and a Dynamic Artificial Intelligence Method for Time Series Analysis and Optimal Decision Making, with Applications in Trading Systems.
Study and Development of Software for the National Citizens Registry “Citizen’s Card”
2020-2023: Research Coordinator and Scientific Supervisor
Research Program – Innovate – Create – Innovate (Second Cycle)
Research Title:“Intelligent Energy Management Controller in Hybrid Systems”
Research Subject: Development of an intelligent energy flow controller.
Research Description: This project involves the research and development of AI software and hardware for data collection and automated decision-making for energy management in hybrid electricity generation systems from Renewable Energy Sources (RES), batteries, loads, and a small meteorological station, and the installation of a prototype pilot unit for design optimization and conclusion extraction.
2017 - 2020
Research Program – Innovate – Create – Innovate
Autonomous and Automated Trading System
Research Subject: Time Series Processing in Currency Markets.
Research Description: This project involves the development of an automated trading system for Forex, CFDs, Cryptocurrencies, etc. This system will emerge from the selection, creation, and comparative evaluation of various automated trading systems based on the d-backtest method, which is a dynamic method for selecting past periods to optimize the parameters of an automated trading system.
