AI, Robotics, and 3D Printing

Dr. Dimitrios Sargiotis is a Faculty Dr. and Deputy Director of the PC-Laboratories within the Digital Technology Laboratory for Technical Projects at the School of Civil Engineering, National Technical University of Athens. With more than three decades of academic and professional experience, he stands at the intersection of Artificial Intelligence, Computer Science, Data Governance, and Civil Engineering, pioneering the digital transformation of infrastructures, cities, and societies. He has authored seventeen scholarly books, one hundred thirty-seven book chapters, and over fifty scientific publications, articles, research reports, and other scholarly contributions disseminated through Springer and other prestigious international outlets, establishing himself as one of the leading voices in AI for Smart Cities, Digital Twins, Intelligent Transportation Systems, Green and Sustainable Infrastructure, and Human-Centric AI. His frameworks emphasize ethics, explainability, and governance, aligning technological innovation with public value and societal well-being. Dr. Sargiotis provides leadership in European Commission-funded research projects, serves as a reviewer and program committee member for international journals and conferences, and collaborates with esteemed organizations, including Springer, the Programming Research Group of Paris, and the Union of Computer Engineers and Communications of Greece. Beyond academia, he is an advocate of lifelong learning, physical well-being, and cultural engagement, embodying a vision in which scientific rigor, ethical responsibility, and human creativity converge. His career demonstrates how Artificial Intelligence can act as a catalyst for sustainable development, social justice, and the flourishing of digitally governed societies worldwide.

AI, Robotics, and 3D Printing: Constructing the Sustainable City of Tomorrow.- AI and Robotics in Construction Automation: Transforming Processes through Intelligent Systems.- AI-Driven 3D Printing for Sustainable and Modular Urban Infrastructure.- AI-Driven Project Management: Adaptive Scheduling, Human Error Reduction, and Resource Optimization in Construction.