Sargiotis | City of the Future | Buch | 978-3-032-36396-1 | www.sack.de

Buch, Englisch, 447 Seiten, Format (B × H): 155 mm x 235 mm

Sargiotis

City of the Future

Data-Driven Urban Design and AI Innovation
Erscheinungsjahr 2026
ISBN: 978-3-032-36396-1
Verlag: Springer

Data-Driven Urban Design and AI Innovation

Buch, Englisch, 447 Seiten, Format (B × H): 155 mm x 235 mm

ISBN: 978-3-032-36396-1
Verlag: Springer


This book introduces the paradigm of "building with data", where spatial intelligence, urban morphology, climate resilience, and infrastructure optimization are harmonized through AI-driven simulations. Machine learning models, including Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Proximal Policy Optimization (PPO), are leveraged to simulate urban expansion, optimize land use, and refine classification policies. These hybrid frameworks integrate spatial classification with reinforcement learning, enabling cities to proactively adapt to developmental pressures while maintaining ecological balance and ensuring socioeconomic fairness.

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Weitere Infos & Material


AI-Driven Urban Intelligence: Predictive Modeling, Climate Adaptation, and Equitable Development.- AI-Driven Urban Growth and Population Dynamics Modeling.- AI-Driven Urban Resource Forecasting and Adaptive Allocation.- Artificial Intelligence for Climate Impact Forecasting and Urban Resilience Planning.- AI-Driven Decision Systems for Sustainable and Equitable Urban Development.- AI-Augmented Digital Twin Frameworks for Intelligent, Sustainable, and Adaptive Urban Systems.- AI-Enabled Urban Health Governance: Personalized, Equitable, and Sustainable Smart City Systems.- AI-Driven Urban Health and Wellness Systems: From Smart Parks to Adaptive Public Spaces.- Artificial Intelligence for Urban Pollution Mitigation and Environmental Resilience.- AI-Driven Personalized Healthcare and Public Service Optimization in Smart Cities.


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 life-long learning, physical well-being, and cultural engagement, embodying a vision where 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.



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