Stefano Invernizzi is an Associate Professor at the Department of Structural, Geotechnical and Building Engineering (DISEG) of Politecnico di Torino. His expertise spans civil and structural engineering, focusing on fracture mechanics, finite element analysis, and numerical modeling of historical masonry and concrete structures. Teaches Statics and structural analysis courses at the Faculty of Architecture. Supervised numerous PhD and degree theses on masonry, concrete, and computational mechanics. Research emphasizes scale effects on material strength, fractal properties of structural materials, contact mechanics, and seismic vulnerability of historical buildings. He co-developed the sequentially linear saw-tooth softening model for robust analysis of reinforced concrete structures. Collaborated with Prof. Jan Rots on computational mechanics and contributed to projects like TOMORROW (additive manufacturing for building walls) and DURA_LAM (nano-materials for timber durability). His work aligns with SDGs 9 (Industry Innovation) and 11 (Sustainable Cities). He leads the Laboratorio di Meccanica della Frattura and has authored over 30 publications in journals like Engineering Fracture Mechanics and International Journal of Fracture . His research integrates statistical theories of strength with nonlinear numerical simulations for disordered materials.
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.
Chiara Gastaldi is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, specializing in mechanical design and machine construction. Her academic career spans multiple teaching roles across bachelor's, master's, and doctoral programs, with particular focus on sustainable design, mechanical engineering, and computational methods. She serves on the College of Mechanical, Aerospace, and Automotive Engineering and the College of Biomedical Engineering, contributing to curriculum development and academic governance. Dr. Gastaldi's research centers on bearings, friction, multiphysics modeling, and numerical modeling, with emphasis on sustainable and circular design approaches. Her work bridges traditional mechanical engineering with modern computational techniques, focusing on practical applications in aerospace engineering, computational engineering, fluid mechanics, and sustainable design. She leads the ISED (Industrial Systems Engineering and Design) research group, driving innovation in model-based systems engineering applied to sustainable product development. Her recent publications reveal a strong trend toward integrating sustainability principles into mechanical design, particularly through life cycle assessment methodologies applied to human-powered vehicles and circular design strategies. The research demonstrates growing interest in lattice metamaterials, friction modeling, and computational approaches to mechanical design optimization, with applications ranging from turbine blades to hydrogen storage systems. ASME Yetep Award (2016) ASME Yetep Award (2019) Dr. Gastaldi actively supervises multiple PhD students working on sustainable mechanical design, lattice metamaterials, and circular economy approaches. Her research portfolio includes significant projects funded by competitive calls and commercial contracts, such as PRIME for predictive maintenance, mechanical design of metal scrap crushing machines, CO2 footprint assessment of vehicle aftermarkets, and dynamic design of turbine blades with friction contacts for renewable energy applications. She also serves as an Associate Editor for the PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART C, JOURNAL OF MECHANICAL ENGINEERING SCIENCE and participates in scientific committees including the ASME Technical Committee on Sound and Vibration and the International Committee on Joint Mechanics. Through the ISED research group, Dr. Gastaldi leads collaborative efforts in industrial systems engineering and design, with particular emphasis on sustainable and circular approaches to mechanical product development. Her team works closely with industry partners on practical applications of advanced mechanical design principles, while also mentoring the next generation of engineers through student teams like Policumbent, which focuses on human-powered vehicle design.
Marco Rossi is an Associate Professor at Marche Polytechnic University in the College of Engineering , affiliated with the Department of Industrial Engineering and Mathematical Sciences . His research focuses on Mechanical Engineering and Materials Science , particularly the plasticity and fracture mechanics of sheet metals and additive manufacturing materials , utilizing advanced techniques like digital image correlation and inverse problems in computational mechanics . Scientific Sector: IIND-03/A - Mechanical Design and Machine Construction Contact: m.rossi@staff.univpm.it , via Brecce Bianche, Ancona, Italy His work emphasizes 3D anisotropic plasticity models , material calibration for sheet metal forming , and thermomechanical characterization of metals. Recent publications highlight applications of virtual fields method (VFM) and finite element model updating (FEMU) in optimizing experimental setups for additive manufacturing and high-strain testing . Key Research Areas: Mechanical Design Plasticity Modeling Digital Image Correlation Inverse Identification 3D Printing Material Behavior Tensegrity Structural Systems
Paolo Maggiore is a Full Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin. He has been actively involved in the Aerospace Engineering Doctoral College since the 19th cycle (2003/2004) through the current 40th cycle (2024/2025). He serves as a member of the PhotoNext Interdepartmental Center for Applied Photonics and the University Internship Commission. His research focuses on digital twin technology, prognostics and diagnostics of aerospace systems, and systems embedded sensors. His scientific work spans aerospace systems and plants within Industrial and Information Engineering, with particular emphasis on aerospace engineering (ERC Sector PE8_1). His research aligns with UN Sustainable Development Goals 7 (Affordable and Clean Energy) and 9 (Industry, Innovation, and Infrastructure). Professor Maggiore's publication record shows a strong focus on aerospace systems engineering, with recent work examining lunar exploration technologies, prognostics and health management systems, digital twin applications, and advanced sensor technologies. His research often combines theoretical modeling with practical aerospace applications, demonstrating a strong connection between academic research and industry needs. Machine learning applications in aerospace systems Digital twin development for aerospace applications Prognostics and health monitoring of critical aerospace components Space exploration technologies and lunar outpost development Advanced sensor integration and diagnostics He has received research funding from various sources including competitive calls, private entities, regional research programs, and commercial contracts, demonstrating the applied nature of his work and strong industry connections. As an educator, Professor Maggiore supervises numerous doctoral students across multiple cycles of the Aerospace Engineering program and teaches courses including Contamination Control Engineering, Advanced Numerical Modeling, and Telemetry in Aerospace Engineering.
Nicola Bosso is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, Italy. He serves as a member of the College of Mechanical, Aerospace and Automotive Engineering and has been continuously involved in the PhD program in Mechanical Engineering for multiple cycles from 2015/2016 through 2024/2025. His academic career spans over a decade of teaching and research in mechanical engineering with a strong emphasis on railway systems and multibody dynamics. Research Focus: Professor Bosso specializes in experimental mechanics and multibody dynamics with particular expertise in railway dynamics, monitoring systems, and vehicle dynamics. His research encompasses roller rig testing methodologies, wear analysis of materials, and wheel-rail contact mechanics. His work aligns with several Sustainable Development Goals including Industry, Innovation and Infrastructure (Goal 9), Sustainable Cities and Communities (Goal 11), Responsible Consumption and Production (Goal 12), and Climate Action (Goal 13). His research integrates computational engineering with experimental validation to address complex railway engineering challenges. Publication Trends: Recent publications demonstrate a strong focus on digital twin technology for freight wagon monitoring, advanced wear simulation algorithms, and thermo-mechanical interactions in braking systems. His work increasingly combines AI techniques with traditional engineering approaches, reflecting the evolving nature of railway engineering research. The publications span conference proceedings and journal articles in high-impact railway engineering venues. Advising and Research Leadership: Professor Bosso has supervised PhD students including Matteo Magelli (35th cycle, 2019-2023), whose thesis focused on numerical and experimental tools for train braking simulations. He leads numerous research projects including AI4FREIGHT (2025-2029), a Railway Freight Wagon Monitoring System based on Digital Twins, and various consulting projects with railway industry partners. His research portfolio spans competitive national grants, regional innovation centers funding, and commercial contracts with railway technology companies. Research Infrastructure: He is affiliated with the Design and experimentation of industrial and railway systems and microsystems (DIMEAS) research group, where he contributes to the development of testing methodologies and simulation tools for railway applications. His work involves close collaboration with industry partners on practical railway engineering challenges, including derailment prevention, vehicle dynamics optimization, and innovative testing equipment development.
Nicolo' Zampieri is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino, specializing in railway dynamics, digital twins, and mechanical design. His research focuses on computational modeling of wheel-rail interactions, multibody systems, and sustainable transportation technologies. Academic Affiliation: Politecnico di Torino (Polytechnic University of Turin) Research Groups: Design and experimentation of industrial and railway systems (DIMEAS) Research Interests Zampieri's work bridges artificial intelligence and multibody dynamics to advance railway engineering. Key areas include: Digital Twins for freight train braking systems Machine Learning applications in longitudinal train dynamics Thermal Modeling of tread braked wheels Experimental Prototyping of twin-disc wear testing devices Article Trends His recent publications emphasize AI-driven railway simulations , multibody dynamics , and computational wear modeling . Notable projects include digital twin applications for emergency braking analysis and innovative twin-disc testing methodologies for wheel-rail interactions. Advising Zampieri supervises Rosario Pagano , a PhD student in Mechanical Engineering focusing on railway wear simulations. Teaching Roles Course Lecturer for Multibody Systems Applications (PhD in Mechanical Engineering, 2024-2025) Course Owner for Materials and Production Process Simulation (Master's in Materials Engineering for Industry 4.0) Collaborator for Costruzione di Macchine (Master's in Mechanical Engineering)
Matteo Magelli is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino. His research focuses on digital twins, multibody dynamics, and railway vehicle dynamics, with specific interests in wheel-rail contact mechanics, tribology, and brake simulation. Fixed-term Assistant Professor (2024-present) Teaching roles: PhD Multibody Systems Applications, Master of Science in Machine Construction, and Bachelor-level courses Supervised PhD student: Rosario Pagano (Mechanical Engineering, 40th cycle) Research projects include dynamic simulations for railway braking systems, thermal analysis of synthetic brake blocks, and design of next-generation carbody technology. His work aligns with SDGs 9 (Industry Innovation) and 11 (Sustainable Cities). Selected publications address topics such as twin-disc device adaptation for braking investigations, railway wheel wear modeling, and digital twin integration in train dynamics.
Cristina Bignardi is a Full Professor at the Polytechnic University of Turin , Department of Mechanical and Aerospace Engineering (DIMEAS). She serves as Deputy Director of DIMEAS and is a member of the Interdepartmental Center PolitoBIOMed Lab (Biomedical Engineering Lab). Research Interests: Biomechanics of internal and external fixation systems for bone fractures Biomechanics of the pelvic floor Biomechanics of the spine Biomechanics of arthroplasty Dental biomechanics Orthopedic biomechanics Design of bioreactors for mechanical stress on scaffolds Her recent publications focus on biomechanics, bioengineering, tissue engineering, and regenerative medicine, with particular attention to pulsed electromagnetic field stimulation, multiscale modeling, and advanced characterization techniques. She has developed innovative bioreactor platforms for bone tissue investigations and contributed to understanding bone and cartilage responses to mechanical stimuli. Scientific Awards: Highly Cited Research Award from Journal of Biomechanics - Elsevier, Netherlands (2016) National Society Award for the Manuscript at 15th ESSKA Congress in Geneva, Switzerland (2012) As a course instructor, she teaches Design of Prostheses and Artificial Organs and Mechanical Bioengineering in the Biomedical Engineering program. She leads numerous research projects including BIGMECH , DIVOC , and W.D.Plate , focusing on precision orthopedic medicine, non-invasive ventilation, and implant stability.
Amedeo Domenico Bernardo Manuello Bertetto is an Associate Professor at the Polytechnic University of Turin, Department of Structural, Building and Geotechnical Engineering (DISEG), and a member of the College of Architecture and Design. He is also part of the SISCON Interdepartmental Center for Infrastructure and Construction Safety and the Master's and Continuing Education School. His research focuses on structural integrity, non-destructive testing, and the stability of slender and historic structures. His research interests include: Structural Health Monitoring Non-Destructive Testing (Acoustic Emission) Instability of slender and long-span structures Additive and sustainable manufacturing Building sustainability Numerical modeling and computational engineering His recent publications reflect a strong trend in integrating computational methods—such as AI, generative design, and finite element modeling—with structural optimization of shells, arches, and gridshells. These works emphasize sustainability, reduced construction waste, and resilience in both modern and heritage structures. His research spans laboratory testing and real-world applications, including the Turin Cathedral and Notre-Dame de Paris. Scientific recognitions include: Keynote speaker at the IASS Tokyo Symposium (2016) International expert for the scientific restoration of Notre-Dame de Paris (CNRS-affiliated) He advises PhD student Jonathan Melchiorre on AI-driven structural optimization and leads multiple commercial research projects, including fire behavior analysis of structures and performance testing of fiber-reinforced concrete. He has no recorded grants listed, but his work is industry-funded and applied in real-world contexts. He is actively involved in organizing the Italian Workshop on Shells and Spatial Structures (IWSS) and collaborates with institutions like La Sapienza University and the Getty Foundation. He leads the Fracture Mechanics Laboratory at DISEG and the Monfron Site Lab, focusing on multi-parameter monitoring systems and in-situ material testing.
Cristiana Delprete is a Full Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, where she has been actively teaching and conducting research for over two decades. She serves as a key faculty member across multiple academic programs and has been consistently involved with doctoral colleges since the 19th cycle (2003-2004). Her research spans analytical and numerical methods, digital twin applications, dynamics of rotating systems, Industry 4.0 implementations, machine condition monitoring, mechanical design, MEMS, multiphysics modeling, smart materials, and structural dynamic design. She leads the ISED: Industrial Systems Engineering and Design research group and has been instrumental in developing predictive modeling approaches for machine design and loss minimization, industrial machine design and condition monitoring systems, intelligent materials and systems for industry applications, and rotor-bearing system reliability assessment. Her recent publications (2024-2025) demonstrate a strong focus on additive manufacturing applications, vibration and fatigue analysis, sustainable design methodologies, and digital twin implementations across mechanical and aerospace engineering domains. The research shows particular emphasis on copper-based metal matrix composites for space applications, circular design strategies for sustainable transportation, and advanced condition monitoring techniques for industrial machinery. Delprete actively supervises numerous PhD students across multiple cycles and has been involved in diverse research projects ranging from predictive maintenance systems (PRIME project 2021-2022) to cylinder set strategy development (CSS project 2016-2019) and international student competitions like the TEAM POLICUMBENT project. She also holds a patent for a 'Connecting rod with innovative closure' developed with colleagues Emanuele Raviolo and Carlo Rosso. Her teaching responsibilities include Machine Construction and Fundamentals of Structural Mechanics courses at both undergraduate and graduate levels, with consistent involvement in the Mechanical Engineering doctoral program. She is deeply engaged with Industry 4.0 initiatives and sustainable design practices, aligning her work with UN Sustainable Development Goals 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 12 (Responsible Consumption and Production).
Matteo Filippi is a Fixed-term tenure-track Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin. He is a member of the College of Mechanical, Aerospace and Automotive Engineering and serves on doctoral colleges for both Aerospace Engineering and Mechanical Engineering programs. His academic work focuses on advanced structural analysis techniques with applications in aerospace engineering. Dr. Filippi's research interests include Aeroelasticity, Finite element analysis, Higher-order theories, Nonlinear dynamics, and Rotor dynamics. His work spans computational mechanics, structural dynamics, and advanced materials, with particular emphasis on high-fidelity modeling approaches for complex engineering problems. He applies these methods to analyze structures ranging from traditional aerospace components to innovative metamaterials and composite structures. His recent publications demonstrate a strong focus on high-fidelity beam modeling, structural dynamics, and wave propagation analysis. The research shows consistent application of the Carrera Unified Formulation (CUF) for developing advanced finite element models that can accurately capture complex structural behaviors while maintaining computational efficiency. His work bridges theoretical developments with practical aerospace applications. Dr. Filippi actively supervises multiple PhD students working on diverse topics including metamaterials, composite structures, and advanced structural analysis techniques. He teaches core aerospace engineering courses including Aerospace Vehicle Design and Aeroelasticity, as well as Fundamentals of Structural Mechanics. He is involved in significant research projects including ASSESS (Automated online monitoring of smart composite structures, 2024-2028), an EU-funded MSCA project, and DRONE-DARE (Drone imaging for Digital twinning and AI Reliability-based damage Evaluation, 2024-2025), part of the PNRR Mission 4 initiative. These projects reflect his expertise in structural health monitoring, composite materials, and advanced computational methods.
Francesco Mocera serves as a Fixed-term tenure-track Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin. His academic work spans multiple institutional roles, including membership in the Doctoral Colleges for Mechanical Engineering (2023-2025 cycles) and invited membership in several Course of Study Colleges including Electrical and Energy Engineering, Electronic/Telecommunications/Physics Engineering, and Mechanical/Aerospace/Automotive Engineering. Dr. Mocera's research focuses on three primary areas: electromechanical performance of lithium-ion cells, innovative hybrid electric powertrain design for agricultural and construction vehicles, and IoT integrated monitoring systems for vehicle applications. His work intersects with Sustainable Development Goals 3 (Good Health and Well-being), 9 (Industry, Innovation, and Infrastructure), and 13 (Climate Action) through engineering solutions that promote sustainable agricultural practices and reduce environmental impact. His research incorporates expertise in industrial design, mechanical manufacturing engineering, simulation modeling, and sustainable design principles. Analysis of his recent publication record reveals a strong trend toward sustainable agricultural machinery electrification, with particular emphasis on hybrid and fuel cell powertrains for agricultural vehicles. His research increasingly integrates life cycle assessment methodologies to evaluate environmental impacts, alongside detailed electromechanical modeling of battery systems. The work demonstrates a clear trajectory from fundamental battery mechanics research toward practical implementation in agricultural machinery, with growing interdisciplinary connections between mechanical engineering, environmental science, and agricultural technology. Effective member of AIAS, Italia (2016-present) Dr. Mocera actively supervises three PhD students (Mattia Scanavino, Giovanni Mantini, and Valerio Martini) working on agricultural vehicle electrification projects. His research portfolio includes significant EU-funded projects like LIFE LAERTHES (2025-2027) as Scientific Manager, along with multiple commercial research contracts focused on hybrid electric systems for agricultural machinery. Current projects examine fuel cell systems, MEMS sensor applications, and performance evaluation of electrified propulsion systems for specialized agricultural vehicles. His work is conducted within the Design and testing of railway and industrial systems and vehicles and microsystems research group at DIMEAS, where he leads efforts to develop innovative solutions for sustainable agricultural machinery through advanced modeling, simulation, and experimental validation approaches.
Dr. Francesco Igino Cosco is a Researcher (Ricercatore) at the Department of Mechanical, Energy and Management Engineering, University of Calabria. He teaches Vehicle Dynamics and Robotic Mechanics in the Mechanical Engineering program. Research Interests: Mechanical Systems Dynamics Bushing Dynamics Modeling Vehicle Simulation Platforms Biomedical Device Development Finite Element Analysis Advanced Manufacturing Processes Vibration Control Systems Recent Research Trends: His recent publications focus on: Time-domain identification of bushing dynamics Improving hip prosthesis performance through severe plastic deformation Comparative reviews of bushing modeling approaches Dynamic error estimation in finite elements Hybrid physics-data modeling for vehicle dynamics Fretting fatigue evaluation of biomedical alloys These works demonstrate expertise in mechanical modeling, biomedical applications, and robotics calibration. Research Groups: Member of the "Meccanica Applicata alle Macchine" research group with three macro areas: Mechanical Systems Dynamics, Mechatronics, and Kinematics of Mechanisms.
Domenico MUNDO is a Full Professor at the Department of Mechanical, Energy and Management Engineering, University of Calabria. His research focuses on mechanical transmissions, vehicle dynamics, vibration analysis, and mechatronic systems. As Head of the Dynamics of Mechanical Systems Lab and Department Deputy for Research, he leads multiple EU-funded projects. PhD in Computational Mechanics (2004) 5-year Degree in Mechanical Engineering cum Laude (1999) Research interests span: Design of advanced mechanical transmissions Noise & vibration characterization in composite materials Kinematic synthesis for automotive and rehabilitation applications Multibody simulation techniques for vehicle dynamics Recent publications emphasize biomechanical rehabilitation devices and composite material modeling. He has coordinated major EU projects like DEMETRA (€1.235M) and INTERACTIVE (€1.344M), focusing on transmission optimization and vehicle concept modeling. Active in editorial roles (Mechanism and Machine Theory) and international conferences, he supervises 9 PhD students and 13 research fellows.
