Sergej Antonello Sirigu is a Fixed-term Assistant Professor at the Politecnico di Torino's Department of Mechanical and Aerospace Engineering (DIMEAS) , specializing in Wave and Offshore Renewable Energy . He serves as a Scientific Director for projects like SEAFORM2 and SEAFORM , focusing on modular floating platforms and wave energy converters (WECs). His research spans Applied Mechanics , Numerical Modeling , and Experimental Validation of marine energy systems. Teaching Roles : Course owner/instructor for Numerical Modeling and Experimental Validation of Wave and Offshore Wind Energy Converters (2023-2025), collaborator in courses like Wind and Ocean Energy Plants and Mechatronics . PhD Student Supervision : Co-supervisor for Filippo Giorcelli's research on Wave Energy Converter Optimal Design (38th cycle, 2022-ongoing). Patents : Co-inventor of Modular Floating Platforms System , Multifunctional Gyropendulum and WEC , and Resonance Frequency Adaptation Technology . Sirigu's work integrates Renewable Energy and Mechanical Engineering , with applications in Wave Energy , Offshore Wind , and Energy Systems Optimization . His publications highlight Experimental Validation and Techno-Economic Modeling of marine energy technologies. He collaborates with the MOREnergy Lab, a Politecnico di Torino research center specialized in Marine Offshore Renewable Energy .
Walter Franco is a Full Professor at Politecnico di Torino in the Department of Mechanical and Aerospace Engineering (DIMEAS), where he specializes in applied mechanics. He serves as a Member of the Coordinating Committee of the Politecnico University Centre for Social Affairs and participates in several international research committees, including IFToMM technical committees for Biomechanical Engineering and Sustainable Energy Systems. His research focuses on interdisciplinary areas spanning: Appropriate technology and sustainable machine design Biomechanics and medical robotics Historical development of mechanisms and machines Fluid power systems and mechatronics Grassroots innovation for sustainable development Professor Franco's publications demonstrate strong themes in sustainable mechanical design, biomechanical applications, and historical engineering analysis. His recent work frequently addresses the intersection of traditional mechanical engineering with contemporary sustainability challenges, particularly in human-powered systems and medical devices. He has received numerous scientific awards including: Best Paper Award at IFIT 2016 IHTC2017 First Prize in Technical Paper Springer Best Research Paper on History of Mechanisms (2019) Multiple best paper awards at IFToMM conferences (2018-2023) Professor Franco leads research projects on hydraulic systems analysis and sustainable technologies, and has supervised PhD students working on exoskeletons and engineering heritage. He holds multiple patents in medical devices and mobility aids, including: Ankle-foot orthosis with 3D-printed components Stair-climbing wheelchair systems Pneumatic medical devices
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.
Raffaele Cerulli is a Full Professor of Operations Research at the Department of Mathematics of the University of Salerno, Italy, where he also serves as Head of Department. He is a Member of the Scientific Committee of UMI (Unione Matematica Italiana) and Director of the Laboratory "Model and Applications of Mathematical Methods." His office is located at the Fisciano Campus, Building F2, First Floor, Room 026, with reception hours on Tuesdays from 3:00 PM to 5:00 PM and Wednesdays from 3:00 PM to 4:00 PM. Dr. Cerulli's research focuses on Operations Research, Combinatorial Optimization, and Network Theory . His work spans multiple application areas including wireless sensor networks, vehicle routing, spanning tree problems, and graph optimization. He has made significant contributions to problems involving labeled graphs, minimum branch vertices spanning trees, and maximum lifetime problems in sensor networks. His research combines theoretical developments with practical applications, particularly in transportation and network systems. Analysis of his recent publications (2022-2025) reveals continued strong activity in combinatorial optimization, with particular emphasis on flow problems, spanning tree variants, and sensor network optimization. His work demonstrates consistent methodological innovation, frequently employing exact algorithms, metaheuristics, and mathematical programming approaches to solve complex combinatorial problems. Many of his recent papers represent extensions or novel variants of classical optimization problems with practical constraints. Throughout his career, Dr. Cerulli has maintained extensive collaborations, particularly with researchers Carrabs, Gentili, and Raiconi, resulting in numerous joint publications across top-tier operations research journals. His work has contributed significantly to both theoretical developments and practical applications of optimization techniques in network systems.
Helga Molbæk-Steensig is a Research Associate in the Department of Law at the European University Institute (EUI) in Florence, Italy. She is actively engaged in the ELOQUENCE project, focusing on the ethical and legal dimensions of generative AI. Her research spans human rights, public international law, empirical legal studies, and the impact of technology on justice systems. She has contributed to major reform debates at the European Court of Human Rights and has published widely on judicial independence, the margin of appreciation, and fair trial rights in the age of artificial intelligence. Research Interests: Her work emphasizes empirical legal methods , quantitative research design , and mixed-methods analysis in international human rights law. She investigates how courts like the ECtHR navigate legitimacy under political pressure, how AI affects fair trial rights, and how pandemics challenge fundamental rights protections. Her scholarship critically engages with methodological issues in legal research, particularly case-law sampling and doctrinal interpretation. The recent publications highlight a strong trajectory in AI and law , human rights in crisis contexts , and institutional legitimacy . Themes include algorithmic accountability in healthcare, judicial deference, dynamic interpretation, and the politicization of enlargement in the Western Balkans. Her editorial work supports early-career researchers in navigating academic publishing ethics and challenges. Scientific Contributions: Co-authored entries in the Companion to The European Convention on Human Rights (Brill, 2023) Contributed to Human Rights and Artificial Intelligence (Oxford University Press, 2023) Published in European Journal of International Law , Leiden Journal of International Law , European Health Law Journal , and Utrecht Journal of International and European Law Regular contributor to leading blogs such as EJIL:Talk! , Strasbourg Observers , and Verfassungsblog Teaching and Academic Engagement: She has taught courses on legal philosophy, fundamental rights, and populism at the University of Copenhagen and delivered guest lectures at the University of Messina and Leipzig University. Her international outreach includes summer schools on human rights and transitional justice in Sarajevo and Leipzig. She mentors early-career scholars and advocates for methodological rigor and ethical publishing practices. Labs and Research Groups: She is affiliated with the ELOQUENCE project at EUI, which investigates generative AI’s legal and ethical implications. She also contributes to the Human and Fundamental Rights Working Group and the Expert Knowledge and Authority in Transformative Times initiative, reflecting her interdisciplinary approach to law, technology, and democracy.
Guglielmo Morgari is a researcher at the Department of Mathematical Sciences 'G. L. Lagrange' (DISMA) at Politecnico di Torino. He serves as an external tutor for PhD students in the Cryptography and Number Theory research group, advising Elena Broggini, Marco Rinaudo, Giuseppe D'Alconzo, and Edoardo Signorini. His research focuses on cryptography, post-quantum security, and cryptanalysis. Current Affiliation: Politecnico di Torino, DISMA Academic Role: Researcher (external tutor) Research areas include: Cryptography Quantum Key Distribution Public-Key Cryptosystems Coding Theory Cryptanalysis Recent publications emphasize quantum-safe communication infrastructure, post-quantum encryption adaptations, and cryptographic sequence analysis. His work spans theoretical foundations and hardware implementations like quantum random number generators.
Eric Giacomo Armando is a Full Professor at the Department of Energy (DENERG) within the College of Electrical and Energy Engineering at Politecnico di Torino. He serves as a member of the Power Electronics Innovation Center (PEIC) and leads the PEEMD research group. Research Interests: Electrical Machines Power Electronics Electric Drives Energy Conversion Sustainable Motor Drive Systems Wide Bandgap Semiconductors Recent Publications focus on GaN converter technologies, flux control algorithms, thermal management via 3D-printed heatsinks, and fault tolerance in multi-phase motors. His work appears in IEEE ECCE, APEC, and industry applications journals. Supervised Students: Stefano Savio (PhD, ongoing, researching GaN multilevel inverters for motorsport) Enrico Vico (completed PhD, focusing on overcurrent protection for GaN semiconductors) Projects: Includes EU-funded E-motors, PNRR SEMDY, and commercial contracts with HBM Italia Srl and Servotecnica SpA. He holds multiple national/international patents in traction inverters and battery chargers.
Romano Borchiellini is a Full Professor in the Department of Energy (DENERG) at the Polytechnic University of Turin, Italy, serving as Rector's Representative for the Energy Center and Coordinator of the Interdepartmental Center Ec-L - Energy Center Lab. His academic work spans energy systems engineering with significant contributions to both theoretical research and practical applications in sustainable energy and safety engineering. Professor Borchiellini's research focuses on energy analysis, energy communities, energy efficiency, fire safety, and tunnel ventilation systems. His work bridges fundamental thermal engineering with practical sustainability applications, particularly in urban energy systems and transportation infrastructure. He has developed expertise in industrial technical physics with applications ranging from renewable energy communities to tunnel safety engineering, aligning with multiple UN Sustainable Development Goals including affordable clean energy, industry innovation, sustainable cities, and climate action. His recent publications demonstrate a clear research trajectory toward decarbonization strategies, renewable energy integration, and safety considerations for emerging energy technologies. The publications reveal increasing focus on hydrogen technologies, battery safety systems, and advanced ventilation solutions for transportation infrastructure, reflecting evolving energy transition challenges. His work consistently connects engineering fundamentals with practical sustainability applications across multiple sectors. Professor Borchiellini has supervised PhD students including Roberto Paglini (focusing on methane emission reporting) and Azad Hamzehpour (researching water mist systems for fire applications). He has secured numerous research grants from competitive calls, regional funding programs, national PRIN projects, and corporate partnerships, demonstrating strong research leadership and funding acquisition capabilities across multiple domains. He leads the Research Group M3ES within DENERG and coordinates the Energy Center Lab at Politecnico di Torino, which serves as an interdisciplinary hub for energy transition research. The laboratory work focuses on thermal systems analysis, energy efficiency optimization, and safety engineering applications, with particular emphasis on practical implementation in urban environments and transportation infrastructure.
Giorgio Guglieri is a Full Professor of Flight Mechanics at Politecnico di Torino, where he serves as Head of the Department of Mechanical and Aerospace Engineering (DIMEAS). He is a member of the Academic Senate, the Executive Committee of Specialising Master's Programmes, and the steering board of the PhD Program in Aerospace Engineering. His work is centered at the intersection of flight mechanics, autonomous systems, and human-machine interfaces. Professor Guglieri's research spans multiple key areas in aerospace engineering. His primary interests include flight dynamics and control of both fixed-wing and rotary aircraft, flight simulation technologies, unmanned aerial systems for urban applications, and human factors in aviation. His work has significant applications in urban air mobility, precision agriculture using drones, and enhancing aviation safety through physiological monitoring of pilot workload. Analysis of his recent publications reveals strong trends toward integrating artificial intelligence with traditional aerospace engineering. His research group has produced significant work on UAV navigation in GNSS-denied environments, reinforcement learning for path planning, physiological monitoring for pilot stress assessment, and digital twin technologies for predictive maintenance. The research shows increasing focus on practical urban applications of drone technology, particularly in logistics, precision agriculture, and urban air mobility solutions. Professor Guglieri actively supervises numerous PhD students working on cutting-edge aerospace projects including drone navigation systems, pilot workload monitoring, urban air logistics, and advanced flight control systems. He leads multiple research projects funded by EU programs (including Horizon 2020), national research councils, and industry partners such as Leonardo, ENAC, and various agricultural technology companies. He heads the Flight Mechanics Research Team at Politecnico di Torino, which operates the STREAM Robotics Laboratory and collaborates extensively with international partners including ZHAW, University of Maryland, and multiple European research institutions. The team has developed patented technologies including an anti-sloshing tank for agricultural spraying drones and fixed-wing micro UAVs.
Mauro Velardocchia is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS) . With over 20 years of academic leadership, he specializes in automated vehicles, connected mobility systems, and advanced powertrain engineering . Research focus on vehicle dynamics, magnetic transmission systems, and energy-efficient automotive technologies Active in European and national research projects including OWHEEL, EFFEREST, and CliMAFlux Teaching contributions to Mechanical Engineering programs since 2000 His recent publications analyze autonomous off-road navigation, tracked vehicle dynamics, and digital twin technologies . Current research projects emphasize sustainable mobility (Goal 9), climate action (Goal 13), and engineering education (Goal 4). Key technical expertise in nonlinear vehicle modeling Leadership in EU-funded MSCA and Horizon Europe projects
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)
fabio alberti is a fixed-term assistant professor at the department of mechanical and aerospace engineering (dimeas) of politecnico di torino. he is affiliated with the college of mechanical, aerospace, and automotive engineering. his work spans mechanical engineering, automotive systems, and applied mechanics. fabio's research integrates machine learning with mechanical engineering, focusing on vehicle dynamics, smart design algorithms, and biomedical applications like hip and dental prosthetics. his studies address fatigue analysis, vibration modeling, and tire dynamics. his recent articles highlight trends in electric powertrain control with neural networks smart design for automotive and biomedical components multi-physical modeling of tires and urban vehicles tribological and biomechanical analysis vibration and fatigue life evaluation
Luca Bergamasco is a Fixed-term Tenure-Track Assistant Professor at the Department of Energy (DENERG) , College of Electrical and Energy Engineering , Politecnico di Torino. His academic career spans multiple teaching roles across Electrical, Energy, Mechanical, Aerospace, and Automotive Engineering colleges, with a focus on computational heat transfer and solar energy technologies. Faculty of Electrical and Energy Engineering Member of Mechanical, Aerospace, and Automotive Engineering College Dr. Bergamasco's research centers on thermal engineering and industrial energy systems , combining machine learning with traditional thermal analysis. Key projects involve optimizing phase change materials for energy storage and developing neural network models for industrial applications. His recent publications (2023-2025) reveal a strong emphasis on thermal conductivity enhancement , CO2 reduction , and machine learning integration in energy systems. Collaborative work with Alessandro Ribezzo on metal wool-phase change composites demonstrates practical applications of his research. Teaching activities include Advanced Solar Energy Technologies and Computational Heat and Mass Transfer courses at both PhD and Master's levels. He actively supervises PhD students and contributes to courses like Machine Learning for Energy Applications .
Davide Clerici is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He serves as an invited member of both the College of Chemical and Materials Engineering and the College of Mechanical, Aerospace, and Automotive Engineering. His teaching responsibilities span multiple academic years (2021/22 through 2025/26), including courses on Materials and Production Process Simulation for the Materials Engineering for Industry 4.0 program and Product and Process Design with Numerical Methods for the Mechanical Engineering program. Dr. Clerici's research focuses on the intersection of mechanical engineering and electrochemistry, particularly in lithium-ion battery technology. His work centers on developing advanced models that couple electrochemical processes with mechanical behavior to understand battery degradation mechanisms. He investigates how mechanical stresses develop during battery operation and contribute to performance degradation, employing both analytical solutions and multi-scale modeling approaches. His research spans from fundamental fracture mechanics in battery materials to practical applications in battery diagnostics and state-of-charge estimation. His publication record reveals a strong trend toward increasingly sophisticated multi-physics modeling, with recent work (2023-2025) developing diagnostic methodologies based on mechanical measurements, innovative modeling frameworks like Polidemo for predicting battery degradation, and hybrid state-of-charge estimation algorithms that leverage both electrical and mechanical measurements. These advancements demonstrate a clear progression from theoretical modeling toward practical engineering applications in energy storage technology. Dr. Clerici actively participates in significant research projects, including the EU-funded LIFE LAERTHES project (2025-2027) focused on sustainable non-road mobile machinery, where he contributes as a research group member. He also leads commercial research initiatives, serving as Scientific Director for the 'Functional and performance evaluation of a sensorized battery pack' project (2025) and participating in MEMS sensor applications research. He currently supervises PhD student Salvatore Scalzo in the Mechanical Engineering Program (40th cycle, 2024-present), guiding research in the mechanical aspects of battery technology. His work bridges theoretical modeling and practical applications, contributing significantly to the advancement of safer, more reliable, and longer-lasting lithium-ion battery systems.
Alessandro Paolo Daga is a Fixed-term Tenure-Track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino. His research focuses on machine diagnostics, vibration monitoring, bearings, digital signal processing, and machine learning applications in industrial systems. Keywords: Bearings, Digital Signal Processing, Machine Diagnostics, Machine Learning, Rotordynamics Awards: Best Poster Award at COMSOL Conference Munich 2023 3rd Place Best Paper at IEEE MetroInd4.0&IoT 2020 1st Place at Surveillance 9 (2017) 2nd Place at Surveillance 8 (2015) Teaching: He teaches courses in Gearbox Failure Analysis and Monitoring, and collaborates in Vibration Mechanics and Vehicle Noise & Vibration at both bachelor’s and master’s levels. He also supervises PhD research in Mechanical Engineering. Recent Research Trends: His work spans aerospace pyroshock testing, wind turbine condition monitoring, and vibration diagnostics for rotating machinery. He applies statistical learning and signal processing to energy systems and industrial equipment maintenance.
