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.
Emir Poskovic serves as a Fixed-term Assistant Professor at the Department of Energy (DENERG) within the School of Engineering at Polytechnic University of Turin. He is also a Key Researcher for the Magnetic Characterization Laboratory at the Alessandria campus and a member of the Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing. His academic appointments include invited membership in both the College of Electrical and Energy Engineering and the College of Mechanical, Aerospace, and Automotive Engineering. Dr. Poskovic's research focuses on electrical machines, magnetic materials, and renewable energy systems. His primary areas include soft and hard magnetic materials, electrical machine design and simulation, nondestructive testing, and alternative energy applications including micro-hydro, fuel cells, and photovoltaics. His work bridges fundamental material science with practical engineering applications, particularly in the development of advanced electromagnetic systems. His recent publications demonstrate strong trends in soft magnetic composites, axial flux motor design, additive manufacturing applications for electromagnetic components, and sustainable magnet recycling techniques. The research consistently addresses both fundamental material properties and practical engineering implementations, with particular emphasis on manufacturing processes and performance optimization. Scientific Awards: Two Best Paper Awards As an active researcher, Dr. Poskovic serves as a reviewer for numerous international journals and conferences. His ERC sector classifications include electrical energy production, power components, alternative materials engineering, composites engineering, metals engineering, and simulation modeling. He is also aligned with UN Sustainable Development Goals related to economic growth, industry innovation, responsible consumption, and climate action. Dr. Poskovic leads research within the PEEMD Research Group at DENERG, focusing on magnetic characterization and advanced manufacturing techniques for electromagnetic applications. His work with the Magnetic Characterization Laboratory supports both academic research and industrial partnerships in the development of next-generation electromagnetic systems.
Alessandro Zaccagnini is an Associate Professor of Mathematical Analysis at the Department of Mathematical, Physical, and Computer Sciences, University of Parma. His academic career spans over three decades, with significant contributions to number theory and its applications. He has held teaching positions across multiple programs including both Mathematics and Computer Science degrees at various academic levels. His educational background includes a Mathematics degree earned in 1989 followed by a PhD in 1994 from the University of Turin under the supervision of Alberto Perelli. His doctoral research established important results related to the Hardy-Littlewood conjectures in additive number theory. Zaccagnini's research primarily focuses on analytic and additive number theory, with special emphasis on prime number distribution, Goldbach-type problems, and cryptographic applications. His work often employs the circle method of Hardy, Ramanujan, and Littlewood to tackle challenging problems in prime number theory. He has made significant contributions to understanding the distribution of primes in short intervals and the relationship between the Selberg integral and density theorems for zeta function zeros. His recent publications demonstrate a continued focus on additive problems involving prime powers, with particular attention to Cesàro averages and asymptotic formulas in short intervals. The research shows a strong pattern of collaboration, especially with A. Perelli and A. Languasco, across multiple decades. His scholarly output spans both highly technical mathematical papers and more accessible works on cryptography and prime number applications for general audiences. As an educator, Zaccagnini has taught a diverse range of courses including Calculus, Cryptography, Number Theory, and Probability across both undergraduate and graduate programs at the University of Parma. His teaching portfolio reflects his dual expertise in pure mathematics and practical applications in cryptography. Zaccagnini maintains an active research program with publications extending to 2025, demonstrating his ongoing contribution to the field of number theory. His work bridges theoretical mathematics with practical applications, particularly in cryptography, making him a significant figure in contemporary Italian mathematics.
Dr. Michela Ablondi is a Fixed-term Researcher at the University of Parma's Department of Veterinary Medical Sciences. Her academic activities focus on genetics and sustainability in animal farming, bioinformatics, and veterinary biotechnology. Coordinates courses in Innovative and Sustainable Animal Production Teaches Genomics and Bioinformatics for Domestic Animal Genetics Active in dairy business technologies and genetic improvement laboratory work Research interests include: Animal genetic improvement Milk production quality analysis Equine biomechanics and microbiota studies Statistical modeling of animal production traits Contact: michela.ablondi@unipr.it
Mariangela Gioannini is a Full Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino and a member of the PhotoNext Interdepartmental Center for Applied Photonics. She earned her Master's (1998) and PhD (2002) in Electronic and Telecommunications Engineering at the same institution, with additional research stints at the University of Bristol (2001) and Fraunhofer Institut für Nachrichtentechnik (2001-2002). Research Interests: Modeling and design of semiconductor lasers for silicon photonic integration Self-generation of optical frequency combs in quantum dot and quantum cascade lasers Nonlinear dynamics in photonic devices Microring resonator characterization for optical interconnects Hybrid III-V/SiN laser systems CMOS-compatible photonic technologies Article Trends: Her recent publications focus on silicon photonics, optical frequency combs, and nonlinear effects in microring resonators, with interdisciplinary applications in optical communications, sensing, and neuromorphic computing. Co-authored works span experimental validation, modeling, and optimization of next-generation photonic devices. Scientific Leadership: Associate Editor, IEEE Photonics Technology Letters (2022-) Guest Editor, Applied Sciences (2020-2021); IEEE Journal of Selected Topics in Quantum Electronics (2019) Chairman of European Semiconductor Laser Workshop (2018) and Workshop on Self-Generation of Optical Frequency Combs Program Committee member, International Semiconductor Laser Conference and CLEO Europe Teaching & Collaborations: She leads courses in Semiconductor Light Sources for Engineers (2019-2025), Quantum Photonics, and Optoelectronics, while collaborating on interdisciplinary programs like Mechatronic Engineering and Quantum Engineering. Her non-commercial agreements include the VCSELence Torino project (2023-2026) with Links Foundation and CNR.
Diego Misseroni is a full Professor of Aerospace Structures at the Department of Civil, Environmental and Mechanical Engineering of the University of Trento, Italy. His academic career has progressed from Assistant Professor (2016-2022) to Associate Professor (2022-2023) and finally to Full Professor (2024-present). He has held prestigious visiting positions including a Fulbright Visiting Scientist at Princeton University (2023) and will serve as a Westlake Distinguished Fellow at Westlake University, China (2025-2026). Dr. Misseroni earned his PhD in Engineering of Civil and Mechanical Structural Systems from the University of Trento in 2013, following a Master's Degree in Civil Engineering with Full Honors from the same institution in 2010. His early career included a Marie Curie Experienced Researcher position at the University of Liverpool (2014-2015). His research focuses on the Mechanics of Solids and Structures, with particular emphasis on architected materials, metamaterials and origami engineering, buckling and instabilities of structures undergoing large deformations, and fracture mechanics. His innovative experimental approaches have led to significant theoretical advancements in understanding mechanical metamaterials and origami structures. Design and testing of mechanical metamaterials with extreme static and dynamic performance Development of novel experimental setups for studying Poisson effects in origami tessellations Creation of three-phase microstructured materials with tunable properties Investigation of flutter and divergence instability in viscoelastic rods Design of microstructured media with negative thermal expansion and negative Poisson's ratio His publication record shows a strong focus on mechanical metamaterials and origami engineering, with significant contributions appearing in high-impact journals including Nature Communications, PNAS, Advanced Materials, and Extreme Mechanics Letters. His work demonstrates expertise in bridging theoretical modeling with advanced experimental validation, particularly in the areas of reconfigurable structures and mechanical metamaterials. Dr. Misseroni has received numerous prestigious awards recognizing his contributions to the field: 2025: Member of the European Academy of Sciences and Arts (youngest ever admitted to Technical & Environmental Sciences class) 2025: SES Huajian Gao Young Investigator Medal 2025: Westlake Distinguished Fellowship 2024: ASME Young Investigator Award 2023: ERC Consolidator Grant for project 'Self-Foldable Origami-Architected Metamaterials' 12 journal covers featuring his research results He leads significant research funding including an ERC Consolidator Grant (€1.93M), HORIZON-CL4 project as Research Unit Coordinator (€513K), and Fulbright Research Fellowship. His laboratory at University of Trento is equipped with advanced testing systems including universal testing machines, vibration test systems, digital image correlation, and multiple 3D printers for prototyping mechanical metamaterials. His research group designs, realizes, and tests mechanical metamaterials, origami systems, flexible structures, and architected materials with extreme static and dynamic performance by combining mechanical modeling, computational analysis, and advanced experimental methods to create advanced, adaptive mechanical systems for a wide range of applications.
Enrica Verne' is a Full Professor in the Department of Applied Science and Technology (DISAT) at Politecnico di Torino, where she serves as a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab. She is also the Scientific Contact for the European Technology Platform for Advanced Engineering Materials and Technologies (EuMaT). Her academic career spans over two decades with continuous research funding and leadership in numerous national and international projects. Professor Verne's research focuses on advanced biomaterials, particularly antibacterial surfaces, bioactive glasses, magnetic and magnetoplasmonic nanoparticles, and multifunctional biomaterials with surface functionalization. Her work bridges materials science, biomedical engineering, and clinical applications, addressing key challenges in bone regeneration, infection prevention, and tissue engineering. She has developed innovative materials including bioactive glasses with controlled ion release, magnetic nanoparticles for hyperthermia cancer treatment, and advanced ceramic composites for bone substitutes. Her recent publications demonstrate a strong emphasis on 3D-printed scaffolds, bioactive glass modifications, and computational modeling of biomaterial properties. The research trends show increasing integration of nanotechnology, advanced manufacturing techniques, and comprehensive biological evaluation to create next-generation biomaterials with dual functionality (e.g., antimicrobial and osteoconductive properties). INTERVENTION IN FAVOR OF YOUNG RESEARCHERS (2006) Polytechnic University of Turin Publications Award (2011, 2012) National Scientific Qualification - First Band (2013) Professor Verne' actively supervises PhD students and has served on doctoral college committees since 2003, currently mentoring four PhD candidates working on multifunctional biomaterials. She has secured substantial research funding through competitive calls including EU-funded projects (MSCA, H2020), national PRIN projects, and regional initiatives. Her research group, GLANCE (Glasses, Ceramics and Composites), is part of DISAT and focuses on developing custom biomaterials for medical applications. She also participates in multiple research networks including the International Glass Commission, European Society for Biomaterials, and HealthTech4EU Alliance.
Francesca Campana is a Full Professor at Sapienza University of Rome, specializing in advanced manufacturing technologies and materials science. Her research focuses on additive manufacturing (e.g., L-PBF processes), material characterization, and biomechanical applications. She has pioneered studies on multi-material junctions, generative design approaches, and virtual reality systems for surgical planning. Her work integrates computational tools such as finite element analysis and machine learning to optimize material performance and design workflows. Key contributions include developing methodologies for optimizing L-PBF parameters, analyzing lattice structures, and applying generative design to cultural heritage conservation. Her research bridges engineering disciplines, addressing challenges in medical devices, aerospace components, and historical artifact restoration. Publications highlight trends in additive manufacturing workflows, material behavior under dynamic conditions, and the integration of AI into design processes. Awards and grants are not explicitly listed in the provided texts.
Dr. Simone Soderi is an Assistant Professor at IMT School for Advanced Studies Lucca within the SySMA research unit, with additional adjunct appointments at the University of Padua and University of Oulu. He holds a doctoral degree from the University of Oulu specializing in industrial wireless communications security. Research focuses on cybersecurity for hybrid wireless systems including physical layer security for 6G networks, optical wireless communications security, covert channel detection, and critical infrastructure protection. Recent projects investigate RIS-aided visible light communication security, federated learning vulnerabilities, and railway cybersecurity frameworks. Professional service includes Senior IEEE membership, editorial roles for IEEE Transactions on Information Forensics and Security, and coordination for national cybersecurity initiatives. Teaching encompasses graduate courses on security in hybrid wireless communications and risk management certifications. Patent portfolio includes innovations in vehicular communication security and distance estimation systems. Laboratory activities involve the CINI National Laboratory for Cybersecurity and collaborations within international research consortia including COST Action CA22168 for 6G physical layer security.
Claudio Lucchese is a Professor at the Department of Environmental Sciences, Informatics and Statistics (DAIS) at Ca’ Foscari University of Venice. He holds key administrative roles, including Head of Studies for the BSc in Hospitality Innovation and e-Tourism (2021–present) and Deputy Head of DAIS for Research (2018–2023). His research focuses on Information Retrieval, Explainable AI, and Data Mining, with over 100 peer-reviewed publications. Notable achievements include the Best Paper Award at SIGIR 2015 and the Best Student Paper at DocEng 2016. He actively participates in European and Italian national research projects and leads the Data Mining and Information Retrieval Lab. Research Interests: His work bridges theoretical advancements and practical applications in information retrieval systems, fairness in AI, and scalable machine learning models. Recent efforts emphasize verifiable models against adversarial attacks and explainability frameworks for biomedical applications. Publications: His most recent works address fair ranking algorithms (e.g., LambdaFair), secure tree ensembles, and efficient search systems. Articles span conferences like SIGIR, ECIR, and CIKM, focusing on learning-to-rank, neural models, and algorithmic efficiency. Awards: Besides his SIGIR and DocEng awards, he has contributed to projects like Treant for evasion-aware decision trees and RankEval, an evaluation framework for ranking models. His work on adversarial robustness and scalable tree traversal (QuickScorer) has been impactful in both academia and industry. Grants: Coordinates national and international projects, including contributions to EU frameworks and Italian initiatives. His lab collaborates on topics ranging from social media analysis to privacy-preserving AI.
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.
Maikel Lázaro PÉREZ GORT is a Researcher at the Department of Environmental Sciences, Computer Science and Statistics (DAIS) at Ca' Foscari University of Venice. He is affiliated with the Research Institute for Complexity Communications and teaches advanced courses on relational data watermarking in doctoral programs. His primary research focuses on database security, specifically developing robust watermarking techniques for relational data integrity protection against attacks in untrusted environments. Teaching Activities: Doctoral Course (DM226/2021): 'Relational Data Watermarking: Fundamentals' and 'Robust Schemes' Past courses include 'Programming and Laboratory-2' for undergraduate Computer Science students and 'Lab of Human-Centered Design' for Digital Management programs. Research Interests: His work addresses challenges in data watermarking resilience, including topology optimization for watermark sources, query impact analysis, and prevention of additive attacks. Recent efforts emphasize earth observation data integrity and quantile-based distortion minimization techniques. Publications: Over 13 peer-reviewed articles from 2017-2025, focusing on watermarking methodologies for relational databases, earth observation systems, and forensic image analysis. Key themes include brute-force attack resilience, semantic-driven marking, and high-quality key generation schemes. Awards/Grants: No specific awards or grants mentioned in the provided materials. Labs/Teams: Affiliated with the DAIS department's research groups working on information systems security and complexity science.
Rafael Natalio Fontana Crespo is a PhD candidate in Computer and Systems Engineering at Politecnico di Torino (38th cycle, 2022-2025), affiliated with the Department of Control and Computer Science (DAUIN) and the Electronic Design Automation (EDA) research group. He serves as an external lecturer for Master's courses including Programming for IoT Applications and Challenge@PoliTo , delivering lectures, exercises, and mentorship across Engineering and Management programs. Education: Bachelor's in Electromechanical Engineering, Universidad Nacional de Cordoba (Argentina) M.Sc. in Mechatronics Engineering, Politecnico di Torino (2022, 110/110 cum laude) via double degree program with Universidad Nacional de Cordoba Research Focus: His work centers on Digital Twin development for Marine Offshore Renewable Energy , specifically Wave Energy Converters (WECs). He integrates Machine Learning for energy forecasting and surrogate modeling with distributed IoT software platforms to optimize WEC design and data management. Core methodologies span Controls Engineering , Computer Vision , and Cloud Technologies , targeting sustainable energy solutions in smart city contexts. Publication Trends: Recent works (2023-2025) consistently bridge IoT infrastructure, machine learning, and renewable energy systems. Key themes include distributed software for multi-energy grids, LSTM-based power forecasting, and digital twin applications in atmospheric water generation and additive manufacturing, demonstrating cross-disciplinary innovation in sustainable technology. Professional Engagement: Reviewer for Engineering Applications of Artificial Intelligence (Elsevier Q1 journal, 2025) Research seminar presenter at University of Edinburgh (2025) on data-driven WEC optimization Teaching Impact: Delivered 116+ teaching hours (2023-2025) across IoT programming and digital twin mentorship, emphasizing practical implementation in smart energy systems. His pedagogical approach combines theoretical foundations with industry-aligned project execution. Research Environment: As an EDA group member, he contributes to hardware-software co-design initiatives focused on real-time data processing for renewable energy harvesting, with ongoing collaborations extending to international institutions like the University of Edinburgh.
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).
Luigi Garibaldi is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, Italy. He has been actively involved in teaching and research for several decades, with a focus on mechanical systems dynamics, vibration analysis, and machine diagnostics. His work spans multiple research projects funded by competitive tenders, commercial contracts, and regional/national grants. Professor Garibaldi's educational background is reflected in his extensive teaching portfolio, which includes courses such as "Mechanics Applied to Machines," "Vehicle Noise and Vibration," and "Dynamics of Mechanical Systems" at both undergraduate and graduate levels. He has served on doctoral college committees for Mechanical Engineering since the 19th cycle (2003/2004) through the current 40th cycle (2024/2025). His research interests center on modal analysis and identification of linear and nonlinear dynamic systems, characterization and use of viscoelastic materials, and monitoring, diagnostics, and prognostics of rotating machinery and mechanical systems. His work aligns with several Sustainable Development Goals, particularly those related to industry, innovation, infrastructure, clean energy, and health and well-being. His research spans multiple domains including aerospace engineering, computational engineering, industrial design, machine learning applications in signal processing, and mechanical manufacturing engineering. Analysis of Professor Garibaldi's recent publications reveals a strong focus on vibration-based diagnostics, particularly for rotating machinery, structural health monitoring, and pyroshock testing applications. His work demonstrates expertise in signal processing techniques, nonlinear dynamics, and the application of machine learning to predictive maintenance problems. He has contributed significantly to the field through his editorial work as Associate Editor for Mechanics & Industry (since 2014) and Mechanical Systems and Signal Processing (since 2004). His leadership extends to roles such as Scientific Committee co-chair for the Surveillance 9 conference and Directorate of Research and Valorisation for INSA - Euro Mediterranée. Professor Garibaldi has supervised PhD students, including Riccardo Barbera (40th cycle, 2024-present), and has collaborated extensively with industry partners on commercial research projects related to machinery diagnostics, vibration analysis, and structural health monitoring. His research group, Dynamics of Mechanical Systems and Identification (DIMEAS), has undertaken numerous projects for companies including RFI S.p.A., focusing on railway catenary dynamics and interaction with pantographs.
