Dimitrios Sargiotis

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National Technical University of Athens | NTUA · School of Civil Engineering

This paper presents an in-depth review of the development, implementation, and impact of Digital Twins in the construction industry. Defined as digital replicas of physical assets, systems, or processes, Digital Twins integrate data from IoT, BIM, AI, machine learning, cloud computing, and big data to enhance decisionmaking, efficiency, and proacti...

This paper presents a comprehensive framework for the development of ethical and inclusive AI systems, focusing on key principles such as fairness, transparency, and accountability. The study emphasizes the importance of these principles in ensuring that AI technologies are developed and deployed responsibly across sectors like healthcare, educatio...

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into civil engineering is revolutionizing the field, providing advanced solutions for datadriven, predictive, and sustainable infrastructure management. This paper explores the transformative potential of AI and ML across essential civil engineering domains, including structu...

In the quest for sustainable energy management, the fusion of artificial intelligence (AI) and big data analytics emerges as a transformative force, optimizing energy consumption, enhancing grid efficiency, and facilitating renewable energy integration. This paper outlines an innovative approach leveraging AI-driven decisionmaking and big data to m...

This book is a comprehensive resource designed to demystify the complex world of data governance for professionals across various sectors. This guide provides in-depth insights, methodologies, and best practices to help organizations manage their data effectively and securely. It covers essential topics such as data quality, privacy, security, and...

The rapid advancement of artificial intelligence (AI) technologies has fundamentally transformed the landscape of information technology (IT), offering unprecedented opportunities for innovation and efficiency. However, these advancements also bring significant ethical challenges, including issues of bias, privacy, transparency, and accountability....

The rapid advancements in Artificial Intelligence (AI) and Machine Learning (ML) have significantly transformed civil engineering, offering innovative solutions that enhance the efficiency, accuracy, and sustainability of various engineering practices. AI technologies, including neural networks and deep learning, coupled with ML techniques, are aut...

The convergence of Artificial Intelligence (AI) and Big Data has significantly transformed biomedical research, enhancing the precision and efficiency of disease diagnosis, personalized medicine, and drug discovery. AI, particularly machine learning (ML) and deep learning (DL), excels at analyzing vast datasets to identify patterns and make accurat...

The rapid advancement of digital technologies has ushered in a transformative era in education, with virtualization at its core. This paper explores the implementation of a virtual infrastructure enhanced by Artificial Intelligence (AI) and Big Data analytics to foster innovative educational practices. It examines how AI-driven virtual environments...

This study delves into the complex realm of cybersecurity within Intelligent Transportation Systems (ITS), bridging the perspectives of both end-users and IT professionals to unravel the nuances of existing cybersecurity challenges and practices. Through a meticulously designed survey, this research assesses cybersecurity awareness, evaluates the c...

This paper outlines a comprehensive policy framework designed to foster a cohesive, prosperous, and inclusive Europe. It addresses critical challenges, including social inequality, economic development, migration management, democratic participation, and human rights protection. The analysis emphasizes strengthening social protection systems, advan...

The paper "Strategic Imperatives for Advancing Greece's Digital Transformation", delves into Greece's digital landscape within the EU's digital transformation framework. It employs quantitative data analysis, trend and gap analyses, and qualitative assessments to evaluate Greece's digital infrastructure, public service digitization, digital skill a...

The rapid advancement of digital technologies, particularly Artificial Intelligence (AI) and Machine Learning (ML), is ushering in a transformative era for civil engineering and disaster management. This paper outlines a multidisciplinary approach that harnesses the power of digital transformation to augment disaster preparedness, response mechanis...

The conference paper "Ε-government: Dissemination of the Benefits of the Information Society (IS) to Economists, Accountants & Business Consultants in the region of Nord Greece" focuses on the transformative impact of e-government in Nord Greece, particularly for professionals in economics, accounting, and business consulting. It delves into the sh...

The rapid advancement of artificial intelligence (AI) technologies has fundamentally transformed the landscape of information technology (IT), offering unprecedented opportunities for innovation and efficiency. However, these advancements also bring significant ethical challenges, including issues of bias, privacy, transparency, and accountability....

This chapter delves into the various technological solutions available to enhance data governance strategies. This chapter serves as a comprehensive guide, helping organizations understand the multitude of tools and technologies that can streamline their data governance efforts. The discussion begins with an overview of the pivotal role that tools...

This chapter delves into the crucial practice of assessing the effectiveness of data governance strategies through well-defined metrics and KPIs. This chapter outlines the importance of aligning these metrics with organizational goals to effectively track progress, manage risks, ensure data quality, and, ultimately, realize the business value of da...

This chapter delves into the vital role that organizational culture plays in the successful implementation of data governance. The chapter argues that data governance is not merely a technical initiative but also a cultural shift within an organization, requiring leadership commitment, strategic change management, and widespread stakeholder engagem...

This chapter addresses the intricate legal and regulatory frameworks that organizations must navigate to manage data responsibly. The chapter emphasizes the importance of understanding and complying with various laws, regulations, and standards to mitigate legal risks, avoid fines, and maintain a strong reputation. The chapter begins by exploring d...

This chapter delves into the escalating importance of data governance within modern business and societal contexts, highlighting its pivotal role in compliance, risk management, customer trust, and securing competitive advantage. The chapter begins by discussing the data-driven landscape characterized by an explosive increase in data volume, thanks...

This chapter delves into the intricacies of data governance frameworks, offering insights into their essential components, applications, and strategies for effective implementation. The chapter begins with a comprehensive definition of what constitutes a data governance framework, describing it as a structured set of guidelines, policies, standards...

This chapter provides a detailed examination of how data governance principles are applied across various sectors, emphasizing the unique challenges, solutions, and successes in each. This chapter uses an array of case studies to illuminate the practical implementation and significant benefits of data governance across diverse domains. The chapter...

This chapter provides an in-depth exploration of frameworks that help organizations assess and incrementally improve their data governance capabilities. These maturity models enable a structured approach to evaluate current practices, identify areas for improvement, and guide strategic enhancements to achieve higher levels of data governance maturi...

This chapter serves as a comprehensive synthesis of the themes discussed throughout the book, highlighting the dynamic and ever-changing nature of data governance. This chapter encapsulates the significant aspects of data governance, emphasizing how it has become an indispensable part of modern organizational management due to the increasing relian...

This chapter provides a foundational exploration of the key principles essential to any effective data governance initiative, aiming to impart a clear understanding of these principles and their practical application across various organizational contexts. It outlines the necessity of maintaining high data quality, ensuring robust data security and...

This chapter provides a thorough exploration of the critical aspects of safeguarding sensitive data in the digital era. It emphasizes the dual importance of data security and privacy within data governance, explaining their definitions, implications, and the necessity for robust protective measures. The chapter delves into key concepts such as encr...

This chapter provides a comprehensive introduction to the concept of data governance, defining it as a critical organizational function that involves overseeing the availability, usability, integrity, and security of the data employed in an organization. The chapter emphasizes that data governance is not merely about data management; rather, it int...

This chapter focuses on the human aspects critical to the success of data governance frameworks within organizations. The chapter emphasizes that while policies and standards provide a structure for data governance, it is the individuals and their roles within the organization that actualize these frameworks. The chapter begins by highlighting the...

This chapter provides a comprehensive exploration of the roles and responsibilities crucial to effective data management within organizations. It emphasizes the importance of clearly defined roles, accountability, and collaboration in fostering robust data governance frameworks. The chapter begins by defining data stewardship and ownership, explain...

This chapter elaborates on the foundational components essential for establishing a robust data governance framework within organizations. This chapter outlines the processes involved in crafting and enforcing data governance policies and standards, emphasizing their alignment with organizational goals. It begins by defining data governance policie...

This chapter explores the evolving landscape of data governance and anticipates the changes and innovations that are expected to shape its future. This chapter serves as a forward-looking guide, preparing organizations to adapt to the rapid advancements in technology and shifts in the regulatory and business environments. The chapter opens by empha...

This chapter addresses the complexities and crucial aspects of managing data within organizations, offering a deep dive into strategies that help navigate and mitigate common challenges in data governance. This chapter emphasizes the importance of defining clear data governance policies, which involves setting precise responsibilities and processes...

This chapter emphasizes the critical importance of managing data quality within the framework of broader data governance. The chapter outlines how data quality management (DQM) involves ensuring the accuracy, completeness, reliability, and relevance of data across various organizational processes, ultimately facilitating effective decision-making a...

The ITepos2020 Initiative marks a significant step forward in healthcare technology. Centered on developing an advanced Information Communication Technology (ICT) system, this project aims to redefine the management of chronic neurological diseases and sensory organ disorders, particularly in the post-COVID-19 era. By integrating cutting-edge digit...

The technical report focuses on the development and implementation of a virtual laboratory for civil engineering academic education. It emphasizes how this innovative approach can enhance learning experiences by providing interactive, practical exposure through simulated environments. The virtual lab integrates advanced technologies like 3D modelin...

The technical report "Strategic Digitalization of Greek Transportation: Integrating Air, Road, and Galileo Systems for Enhanced Efficiency and Safety" provides a detailed analysis of Greece's initiative to digitally transform its transportation sector. It explores the integration of advanced digital technologies in air transport, the application of...

Thorough Research, Analysis, and Deployment of a Dynamic Real-Time Traffic Mapping System Utilizing Specialized Measuring Sensors: This comprehensive project encompassed in-depth research, meticulous study, and the implementation of an innovative real-time traffic mapping system. The endeavor involved not only the deployment of specialized measurin...

Engaged in In-Depth Research, Extensive Study, and Successful Implementation of a Sophisticated Information Technology Educational Simulation System Tailored for Civil Engineering Programs at Both Undergraduate and Postgraduate Levels: This initiative involved a multifaceted exploration, rigorous analysis, and successful deployment of an innovative...

The technical report "Organization of a Regional Computer Unit for Statistical Econometrics applications, Database Organization Access to International Bibliography" details the establishment of a Regional Computer Unit at the Department of Economic and Regional Development. It emphasizes enhancing educational and research capabilities in economics...

Integrates theoretical and research elements, offering the inaugural exploration of Management Information Systems (MIS) utilization within Greek industrial enterprises and its impact on competitiveness, productivity, and employment generation. Investigates the necessity for MIS adoption in Greek industrial enterprises and outlines the research's c...

Investigates trust development in International Joint Ventures (IJVs) and its critical role in partnership success. It commences with an introduction, defining the purpose and structure of subsequent chapters. Chapters review IJV literature, exploring performance indicators, factors affecting performance, and trust development. A proposed analysis...

Strategic Design and Implementation of an Advanced Information System using SADT methodology for Municipal Mortgage Land Treasury Management: This comprehensive initiative involved the meticulous design and deployment of an innovative information system dedicated to managing municipal mortgage land treasury operations. The system's architecture was...

Advanced Modeling and Simulation of Complex Systems: Unveiling the SpellBam Application's Innovative Approach. The exploration delves into sophisticated modeling and simulation techniques applied to intricate systems, with a specific focus on the groundbreaking SpellBam Application. This software stands as an exemplar in the realm of complex system...

Exploring Transpac: In-Depth Analysis and Technical Insights into Service Utilization Characteristics: An in-depth examination and comprehensive study of Transpac services, delving into the technical features and nuanced aspects of service utilization. The investigation focuses on scrutinizing the operational mechanics, performance benchmarks, and...

The study, titled 'Integrating Neural Network Emulators in CAD Environments for Enhanced Neural Architecture Modeling,' represents a effort in the realms of computational design and neural network emulation. This research is centered on the goal of integrating neural network emulators into Computer-Aided Design (CAD) environments.

The study "Local Area Network Topologies and Transmission Media" provides a comprehensive overview of the evolution of LANs. It focuses on significant innovations in network topologies and their impact on network design and performance. The study covers various LAN topologies, such as Bus, Ring, Star, and Tree, detailing their physical layouts, adv...

This research provides an in-depth analysis of the development and significance of heterogeneous computing systems, focusing particularly on their implementation in the C programming language. The study reviews historical advancements in computing systems, such as parallel processing, load balancing, and RISC architectures, which played a pivotal r...

The Interprocess Communication Model of ADA: A Code-Centric Approach" delves into ADA's IPC model, acclaimed for its robustness in systems demanding high reliability. It addresses software developers, system architects, and academic researchers, unraveling ADA's architectural and operational principles, with a spotlight on rendezvous, protected obj...

This study explores the integration of neural network emulators into Computer-Aided Design (CAD) environments, aiming to enhance neural architecture modeling. The objective is to merge the computational power of neural networks with the precision and control offered by CAD systems. By embedding neural network emulators, the research seeks to enable...