SPECIAL SESSION #03
High-Quality Building Data, AI-Based Services, and Measurement-Supported Digital Environments for Deep Renovation
ORGANIZED BY
Serena Serroni
Serena Serroni
MoS SRL - Polytechnic University of Marche, Italy
Vittoria Cipollone
Vittoria Cipollone
Polytechnic University of Marche, Italy
Vasilis Michalako -poulos
Vasilis Michalakopoulos
National Technical University of Athens
Elissaios Sarmas
Elissaios Sarmas
National Technical University of Athens
Nibras Abo Alzahab
Nibras Abo Alzahab
Polytechnic University of Marche, Italy
Gian Marco Revel
Gian Marco Revel
Polytechnic University of Marche, Italy
SPECIAL SESSION DESCRIPTION
This special session explores how reliable building data, measurement systems and AI-based digital tools can accelerate deep renovation across Europe. The focus is on improving the accuracy, consistency, and practical usefulness of building performance measures. As renovation policies evolve with the revised EPBD, the EU Building Stock Observatory and the Renovation Wave, the session will highlight how these technological advances can align with European frameworks and help scale renovation strategies across different regions and building types.
A first theme concerns the development of digital ecosystems for buildings that are aligned with Data Space principles. Contributions may address new datasets for research, as well as topics such as data governance, interoperability standards, semantic harmonization, regulatory requirements, measurement protocols and IoT-based data collection. Particular attention will be given to how high-quality datasets can improve digital inspections, dynamic EPCs, renovation planning and financial evaluation across different building types and user groups. The session will also look at new generations of AI and data-driven services that provide advanced insights into building performance. These tools can support the full renovation lifecycle, from operational analysis and inspection, to planning, certification and grid-interactive optimization. Transparency, validation and benchmarking will be considered essential to ensure trust and adoption.Another key topic is real-time monitoring, indoor environmental quality, comfort assessment and anomaly detection. The session will examine how measures can guide adaptive renovation strategies and improve user comfort, building health and operational performance.
Participants are invited to present scientific contributions, methods, tools and case studies showing how high-quality data, AI-supported services and measurement-based approaches can transform renovation practices and support Europe’s digital and energy transition.
This session also serves as a platform to present the LIFE24-CET-LiveBetter project, funded under the LIFE Programme (Grant Agreement No. 101215721), which establishes the Standardized Common European Digital Buildings Hub and an ecosystem of AI-based services to unlock investments in deep renovation and support data-driven, high-quality building transformation across Europe.
ABOUT THE ORGANIZERS
Serena Serroni is the founder of MoS srl, after several years as a Research Fellow at the Department of Industrial Engineering and Mathematical Sciences (DIISM) of UNIVPM. She works on European research and innovation projects focusing on Indoor Environmental Quality, real-time IoT-based monitoring, and the development of measurement techniques and digital services for the construction sector and the built environment. Her expertise spans scientific dissemination, communication strategies, sustainability and decarbonisation pathways, supporting stakeholders and organisations in adopting data-driven approaches for building performance and the energy transition. Serena holds a Master’s degree in Biomedical Engineering, a PhD in Thermal and Mechanical Measurement from UNIVPM, an International Executive Master from POLIMI, and an IPMA certification as Project Manager.
Vittoria Cipollone is a Research Fellow at the Department of Industrial Engineering and Mathematical Sciences (DIISM) of UniversitĂ Politecnica delle Marche (UNIVPM). With a background in Biomedical Engineering and a PhD in Mechanical and Thermal Measurements, her research focuses on advanced measurement techniques and the development of digital services for comfort assessment aimed at promoting human well-being and health in both indoor and outdoor environments. Her expertise includes IoT sensing technologies for building and health applications, as well as data analysis through Artificial Intelligence and Machine Learning methods.
Vasilis Michalakopoulos is currently a Ph.D. candidate at the National Technical University of Athens (NTUA), researching artificial intelligence applications in energy management, with a focus on demand response optimization and interaction with energy markets. In parallel, he works as a Research Associate on multiple EU-funded projects, contributing to the design and development of data-driven systems for energy and sustainability challenges. He holds a Diploma (integrated BSc and MEng) in Electrical and Computer Engineering from NTUA (2021) and brings a strong background in DevOps engineering.
Dr. Elissaios Sarmas is a research associate at the School of Electrical & Computer Engineering (ECE) of the National Technical University of Athens (NTUA). He graduated with honors (9.1/10) in ECE (NTUA, 2020) and is completing his PhD on artificial intelligence models and optimization algorithms for energy systems. His expertise includes AI, data science, and optimization, with a focus on energy flexibility and efficiency in microgrids. Dr. Sarmas has co-authored the book Multicriteria Portfolio Construction with Python and has published over 20 papers on machine learning and AI applications in energy and decision support systems. He has contributed to more than 10 EU-wide projects, providing technical solutions to organizations including DSOs, TSOs, and energy providers among others.
Nibras Abo Alzahab is a researcher and Biomedical Engineer at Marche Polytechnic University, Italy, specializing in artificial intelligence applications, neurotechnology, and physiological sensing. His current work focuses on assessing human well-being and comfort in changing environments, alongside developing Brain-Computer Interfaces (BCI) for secure authentication and advanced biosignal processing. He serves as a National Expert for ISO/IEC JTC 1/SC 43, representing the Italian Mirror Committee CEI CT 324, where he contributes to global BCI standardization. Holding a Ph.D. in Information Engineering, he has co-authored several publications and is an active member of the IEEE and BCI Society.
Gian Marco Revel is Full Professor in Mechanical and Thermal Measurement at UniversitĂ Politecnica delle Marche, where he is Rector Delegate for European Research. He received the Ph.D. degree in mechanical measurements from UniversitĂ degli Studi di Padova in 1998. His research focuses on sensors and measurement technologies for buildings, health and industrial applications, with a particular focus on comfort and human behaviour and diagnostics.
