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
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.)
Project Management
H ΙΩΝΙΚΗ Engineering provides project management services in its entirety for all types of buildings, commercial, industrial and tourist facilities. The projects of our customers
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.
Safety Technician Services
The security officer provides to the employer's instructions and advice on matters relating to health and safety at work and the prevention of occupational accidents. The working time depends on the number of employees and the degree of risk of the business.
Projects
Casino Oyunlarında Strateji ve Başarı İçin İpuçları
Casino oyun türleri , şans faktörü ve taktik nin birleştiği bir dünyadır. Başarılı için sadece talih itimat etmek yeterli değildir; ek olarak hakkaniyetli taktikleri hayata
The Impact of Artificial Intelligence on Casino Operations
Artificial cognition (AI) is revolutionizing the casino field by optimizing operations, boosting customer encounters, and refining security practices. A 2023 report by Deloitte shows that AI systems can enhance operational
Огляд онлайн-казино: асортимент ігор, бонуси, безпека та переваги для гравців
Огляд онлайн-казино: Ваш портал у світ азарту та великих виграшів Онлайн-гемблінг із кожним роком набирає обертів, і яскраво виділяється серед численних платформ, що пропонують азартні розваги найвищого рівня. Це казино вже
The Evolution of Casino Gaming: From Traditional to Online
The casino sector has undergone significant transformations over the periods, particularly with the rise of online gambling. In 2023, the global online gambling sector was valued at about (63 billion, with forecasts indicating it could attain )114 billion by 2028, according to a report by Grand View Research. One of the pioneers in the online casino domain is Microgaming, which introduced its first online casino in 1994. This represented the commencement of a new period in
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.
