Giuseppe Quaranta

Giuseppe Quaranta is an Associate Professor in the Department of Structural and Geotechnical Engineering at Sapienza University of Rome, Faculty of Civil and Industrial Engineering. He is actively engaged in teaching Construction Techniques and Construction Process Management, and maintains regular office hours for students. His research focuses on structural monitoring, dynamic identification, seismic protection systems, and AI applications in civil engineering.

• Department: Department of Structural and Geotechnical Engineering
• Faculty: Faculty of Civil and Industrial Engineering
• Institution: Sapienza University of Rome
• Email: giuseppe.quaranta@uniroma1.it

Dr. Quaranta's research interests span structural monitoring and control, sensing systems, dynamic identification, diagnostics of civil structures, passive vibration control devices, structural concrete, and the analysis and design of reinforced concrete and composite steel-concrete structures. His work integrates computational modeling, experimental validation, and data-driven approaches, particularly using artificial intelligence and machine learning for structural health monitoring and seismic assessment. He investigates energy harvesting using piezoelectric materials for powering wireless sensors in smart infrastructure.

The recent publications of Dr. Quaranta demonstrate a strong trend toward energy-based seismic engineering, machine learning for structural performance prediction, nonlinear dynamics of isolation systems, and advanced modal identification techniques. His work combines theoretical modeling, numerical simulation, and experimental testing, with applications to bridges, buildings, and historical structures like the Leaning Tower of Pisa and the Colosseum.

Dr. Quaranta is involved in the research project titled "Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale," which aligns with his expertise in corrosion hazard mapping, seismic resilience, and smart monitoring systems. While student advising is implied through research collaboration, specific names of advisees are not listed in the provided materials.

• Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale

His research team conducts experimental and computational studies on structural systems, including dynamic monitoring of iconic structures such as the Leaning Tower of Pisa and the Colosseum. The lab focuses on developing and applying advanced signal processing techniques, nonlinear system identification methods, and AI-driven tools for structural health monitoring and seismic risk assessment.