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
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.
Erica Pastore is a Fixed-term Researcher in the Department of Management and Production Engineering (DIGEP) at Politecnico di Torino , affiliated with the College of Management and Production Engineering . Her work spans mathematical modeling, production planning, and simulation optimization within industrial engineering contexts. Teaching roles: Course Lecturer (2024/25, Management and Production Engineering), Course Collaborator (2025/26, Management Engineering) Sciences: Production Systems , Manufacturing Technologies , Sustainable Operations Her research focuses on mathematical modeling for production planning and optimization , examining variability propagation in manufacturing systems, additive manufacturing time estimation , and circular economy strategies at scheduling levels. Publications address flow line optimization , parallel batching , and healthcare logistics through simulation and analytical modeling . Recent work trends include flow time minimization (2025), additive manufacturing scheduling (2024), idle time reduction (2023), and urban logistics (2022). She has collaborated on 15+ publications since 2012, working with colleagues like Arianna Alfieri , Claudio Castiglione , and Barbara Previtali across production optimization, healthcare systems, and logistics.
Renato Chemello is a Full Professor in the Department of Earth and Marine Sciences at the University of Palermo, Italy, within the School of Basic and Applied Sciences. He has maintained a consistent academic presence from at least 2014 through 2025, teaching courses in Marine Conservation and Coastal Zone Management for the Marine Biology program and General Ecology for Natural and Environmental Sciences students. His office is located in Room 4 on the 4th floor of the Department building at via Archirafi n. 20. Professor Chemello's research focuses primarily on Mediterranean marine ecosystems, with particular expertise in vermetid reef ecology, marine conservation, climate change impacts on marine organisms, and marine protected area management. His work demonstrates a strong commitment to understanding vulnerable marine habitats and developing conservation strategies for Mediterranean coastal ecosystems. His recent publications (2023-2025) reveal a research trajectory centered on climate change impacts on marine organisms, particularly examining thermal tolerance in corals, the ecological consequences of invasive species, and the structural complexity of vermetid reefs. These studies often employ innovative methodologies for assessing habitat vulnerability and developing monitoring frameworks for marine conservation. Professor Chemello has supervised numerous thesis projects focused on Mediterranean marine ecosystems, with particular emphasis on vermetid reefs, marine protected areas, and coastal zone management. His students have conducted research on topics ranging from vermetid reef characterization to the impacts of human activities on vulnerable marine species. His academic contributions extend to methodological development for marine ecological assessment, with particular focus on innovative techniques for studying marine habitats, biodiversity assessment, and the impacts of anthropogenic stressors on marine ecosystems. His work bridges fundamental ecological research with practical conservation applications in the Mediterranean context.
Edoardo Rotigliano is a Full Professor in the Department of Earth and Marine Sciences at the University of Palermo, Italy. He teaches Physical Geography, GIS, and Applied Geomorphology courses with office hours held at the main campus (Via Archirafi, 22) and Trapani teaching center for Biodiversity and Technological Innovation students. His contact includes phone (+3909123864649) and email (edoardo.rotigliano@unipa.it). His research spans physical geography and geomorphology with emphasis on landslide susceptibility modeling, erosion processes, and natural hazard assessment. Key interests include geomorphometry, GIS analysis, hydrogeological phenomena, and coastal vulnerability. He employs advanced geospatial techniques and field-based approaches to analyze hazards in Mediterranean environments, particularly Sicily and Central America. Recent publications (2023-2025) reveal strong focus on landslide deposit prediction, inventory completeness validation, and multi-typology susceptibility modeling. His work integrates stochastic approaches, high-precision simulations, and field data to address geomorphological hazards across diverse landscapes from volcanic calderas to coastal zones. Notable case studies include El Salvador's Ilopango Caldera and Sicilian river basins. Scientific contributions include: Development of spatial validation protocols for landslide susceptibility maps Integration of preparatory and triggering factors in coseismic hazard models Analysis of scale effects in geomorphological modeling Experimental pedagogy for geoscience education As faculty member, he supervises student research and participates in geoscience education initiatives. His work demonstrates strong interdisciplinary collaboration between geomorphology, hydrology, and environmental engineering. Current projects focus on refining hazard prediction models through advanced sampling strategies and multi-source data integration for Mediterranean and Central American contexts.
Mario Antonio Cucumo is a Full Professor of Industrial Applied Physics at the University of Calabria's Department of Mechanical, Energy and Management Engineering (DIMEG), where he has served since 1983. He coordinates the Energy Engineering program and leads the Laboratory of Building Energetics. His academic journey includes roles as Assistant Professor (1983-1992), Associate Professor (1992-2003), and Full Professor (2003-present). Education: Graduated with honors in Industrial Engineering Technology from the University of Calabria (1979). Research Focus: Professor Cucumo specializes in solar energy conversion, building thermal dynamics, and renewable systems optimization. His work combines theoretical modeling with experimental validation, emphasizing: Photovoltaic performance enhancement Passive building cooling strategies Heat transfer mechanisms in industrial applications Solar thermal system prototyping He has authored 154+ publications, including textbooks on Applied Thermodynamics , Solar Engineering , and Energetics . Publication Trends (2020-2023): Recent research focuses on energy-efficient building technologies (photochromic windows, BIPV systems), computational fluid dynamics for thermal systems, and optimization of hybrid renewable configurations in Mediterranean climates. Studies demonstrate strong integration of experimental data with numerical modeling. Laboratory Leadership: As head of the Building Energetics Laboratory, he oversees experimental research on: Thermographic measurements PV panel performance testing Solar collector prototyping Passive cooling material analysis
Valentina Orsini is an Associate Professor in the Department of Information Engineering at the Faculty of Engineering, Università Politecnica delle Marche (UNIVPM). Her academic position is within the scientific sector IINF-04/A - Automatica, reflecting her expertise in control systems engineering. She maintains an active research profile with recent publications spanning 2021-2025, demonstrating ongoing scholarly contributions to her field. Professor Orsini's research centers on advanced control systems with particular emphasis on inventory management for perishable goods under uncertainty. Her work develops robust model predictive control approaches for supply chains characterized by uncertain perishability rates, volatile demand patterns, and inaccurate forecast information. She has made significant contributions to distributed control systems for multi-stage supply chains, inversion-based control methods for precision positioning systems, and optimization techniques for handling saturation constraints in control applications. Analysis of her recent publications (2021-2025) reveals a strong research trajectory focused on addressing critical challenges in supply chain management for perishable products. Her work demonstrates increasing sophistication in handling uncertainty through robust control methodologies, with particular attention to practical implementation challenges. The publications show consistent development of model predictive control frameworks that balance theoretical rigor with practical applicability in real-world supply chain environments. Professor Orsini maintains an active research program with international relevance, contributing to both theoretical advances in control engineering and practical solutions for inventory management challenges. Her work bridges the gap between control theory and operations management, offering valuable insights for both academic researchers and industry practitioners dealing with perishable goods supply chains.
Roberto Riggio is a Researcher at the Department of Information Engineering within the College of Engineering at Marche Polytechnic University (UNIVPM) in Italy. His work focuses on cutting-edge networking technologies with an emphasis on edge computing, 5G/6G networks, and software-defined networking solutions. His research has significant implications for the future of telecommunications infrastructure and distributed computing systems. Dr. Riggio's research interests center around network architecture and management, with particular expertise in edge computing, network function virtualization, and federated learning systems. His work explores the intersection of artificial intelligence and networking, developing novel approaches for resource allocation, service placement, and network optimization. His publications demonstrate a strong focus on practical implementations that address real-world challenges in telecommunications, particularly regarding quality of service, latency management, and security in next-generation networks. Analysis of his recent publications reveals a clear research trajectory focusing on the convergence of AI and networking technologies. His work increasingly emphasizes edge-based AI applications, particularly federated learning implementations that maintain data privacy while enabling distributed intelligence. He has made significant contributions to network slicing, zero-touch management, and O-RAN architectures, with applications spanning from vehicular communications to IoT systems. His publications consistently address the critical challenges of latency, resource allocation, and security in modern networked environments. Dr. Riggio actively contributes to the academic community through his research projects and publications, though specific awards or fellowships aren't documented in the available materials. His work appears in reputable venues focused on networking and telecommunications research. While specific details about his advising activities and grant funding aren't provided in the available documentation, his extensive publication record suggests active involvement in research projects. His work appears to be connected to several European research initiatives, particularly those focused on 5G and beyond networks, edge computing, and software-defined networking solutions. The collaborative nature of many publications indicates participation in multi-institutional research efforts. Based on his publication topics, Dr. Riggio likely participates in research groups or labs focused on networking and telecommunications at UNIVPM. His work on projects like AI@EDGE, O-RAN implementations, and network management platforms suggests involvement with specialized research teams developing next-generation networking solutions. His research has practical applications in areas including connected and automated mobility, IoT infrastructure, and content delivery networks.
Vincenzo Arceri serves as an Assistant Professor (non-tenure) in the Department of Mathematical, Physical and Computer Sciences at the University of Parma. Previously, he held a postdoctoral position at Ca' Foscari University of Venice (2019-2021) following his 2020 PhD completion at the University of Verona, where he also earned his Bachelor's (2014) and Master's (2016) degrees in Computer Science. His academic trajectory demonstrates continuous progression in static analysis research. His educational foundation includes: PhD in Computer Science (2020), University of Verona MSc in Computer Science (2016), University of Verona BSc in Computer Science (2014), University of Verona Arceri's research centers on static program analysis with specialization in string analysis for dynamic languages, abstract interpretation frameworks, and blockchain security verification. He has developed novel techniques for smart contract analysis across Ethereum (EVMLiSA), Hyperledger Fabric, and Tezos platforms, addressing critical issues like cross-contract invocations and read-write conflicts. His work bridges theoretical formal methods with practical security applications in decentralized systems. Recent publications (2023-2025) reveal a strategic research pivot toward blockchain verification, comprising 60% of his output. Key contributions include the Tarsis string domain for automata-based analysis, LiSA framework extensions for multi-language support, and specialized tools for EVM bytecode. His work consistently addresses precision-performance tradeoffs in abstract interpretation while expanding into machine learning applications for code analysis. Arceri actively seeks research collaborators, stating he "is always looking for strong and motivated students to work with me." His projects EVMLiSA, LiSA, and Tarsis demonstrate sustained research funding through GitHub maintenance and industrial collaborations like the GoLiSA experience report. He has developed curricular materials for graduate courses including Static Analysis and Software Verification at Parma. He maintains active connections with the Software and System Verification research group, previously at Ca' Foscari University of Venice and currently through open-source contributions at University of Parma. His GitHub repositories and Zulip community engagement foster collaborative development of static analysis tools, particularly for blockchain applications.
Vincenzo Bonnici is an Associate Professor in Informatics at the Department of Mathematical, Physical and Computer Sciences , University of Parma, Italy. His academic career includes a PhD in Computer Science from the University of Verona (2015), preceded by a master’s degree from the University of Catania (2011). He has held research positions at prestigious institutions, including the Institute for Genomics and Bioinformatics (IGB) , University of California, Irvine (2013–2014). Education BSc/MSc in Computer Science from University of Catania (2008/2011) PhD in Computer Science from University of Verona (2015) His research focuses on bioinformatics and computational biology , with a strong emphasis on subgraph matching algorithms for biomedical graphs, genomic sequence analysis using information theory, and parallel computing for biological networks. His work spans pangenomics, phylogenomics, and non-coding RNA studies, with applications in GPU and SMP architectures. The article trends reflect his core expertise in graph algorithms and computational genomics. Key contributions include MULTI-GRAPHMATCH (2025) for multigraph analysis, ARC-MATCH (2024) for edge domain-based graph querying, and foundational work on pangenome discovery (e.g., PANDELOS series, 2023). Parallel computing and information theory are recurring themes across his publications. Scientific awards include the ICPR 2014 international graph-matching contest and a best poster award at the Jacob T. Schwartz International School for Scientific Research. He has served as a speaker at 12 international conferences. Teaching includes courses on Artificial Intelligence Algorithms (2025/2026), Artificial Intelligence Laboratory , and Software Engineering at the University of Parma. His work integrates algorithmic innovation with biological data analysis.
Thea Messina is a Research Fellow at the Department of Humanities, University of Catania, specializing in Aegean and Sicilian Bronze Age archaeology. She holds a Doctor of Sciences for Heritage and Cultural Production from the University of Catania (2022), a Diploma of Specialization in Archaeology from the Italian Archaeological School in Athens (2018), and a Master's Degree in Archaeology with Double Degree from the University of Catania and Selçuk University, Turkey (2015). Her research focuses on cooking methods as cultural indicators in the Mediterranean during the 2nd millennium BC, ceramic analysis, and domestic spaces in Bronze Age societies. She has extensive field experience, having participated in archaeological excavations at Phaistos (Crete) since 2013, as well as at Calicantone, Valcorrente, and Calaforno in Sicily. Her methodological approach integrates material analysis, spatial distribution studies, and experimental archaeology. Messina's scholarly output demonstrates a consistent focus on understanding Bronze Age culinary practices through ceramic analysis and organic residue studies. Her recent publications reveal an expanding research trajectory that connects Sicilian and Minoan archaeological contexts, particularly examining how cooking practices reflect cultural identity and social organization. She employs advanced analytical techniques including high-resolution GC-MS for organic residue analysis to investigate pottery function. Member of the Cretan Archaeology Center since 2022 Co-founder of CHAIN (Cultural Heritage Academic Interdisciplinary Network) Member of the editorial board of Ancient Crete journal since 2018 Recipient of multiple research contracts including at University of Ghent (2023-2024) and Italian Archaeological School in Athens (2024) Messina is actively involved in teaching as a contract professor for Aegean Archaeology at Politecnico di Bari and as a teaching assistant for Aegean Civilization courses at the University of Catania since 2018. She has organized numerous international conferences and workshops on cultural heritage topics, demonstrating her commitment to interdisciplinary collaboration and knowledge dissemination in the archaeological community.
Domenico Tegolo is an Associate Professor in the Department of Mathematics and Computer Science at the University of Palermo (Unipa), where he teaches courses in programming, image analysis, and computer science. His office is located at Via Archirafi 3490123, Palermo, with office hours held on Wednesdays from 3:00 PM to 5:00 PM. Professor Tegolo's research spans multiple domains with a strong focus on computer vision and image analysis , particularly in medical applications. His work encompasses retinal image processing , capillaroscopy analysis , and medical diagnostics systems. He has also made significant contributions to programming education methodologies and federated learning approaches for agricultural data. His recent publications show a growing interest in large language models and their applications in specialized domains. Analysis of Professor Tegolo's publication record from the past five years reveals a diverse research trajectory that bridges computer science with practical applications in healthcare and agriculture. His work demonstrates consistent innovation in image processing techniques while adapting to emerging technologies like deep learning and large language models. The research shows particular strength in medical imaging applications, with numerous publications on retinal analysis, oral microcirculation, and diagnostic support systems. Professor Tegolo has taught a variety of courses including Theories and Techniques for Image Analysis, Programming with Laboratory, Advanced Programming, and Structured Programming for Mathematics programs. He has also previously taught Operating Systems and Programming Languages courses for Informatics programs, demonstrating breadth across computer science disciplines.
Francesco Tschinke is a Researcher at the Department of Mathematics and Computer Science, University of Palermo. His office hours are Wednesdays from 2:00 PM to 4:00 PM. He focuses on Functional Analysis, Operator Theory, and Distribution Theory, with applications in Quantum Mechanics and Harmonic Analysis. His research includes Riesz-Fischer maps, semi-frames, and Colombeau algebras. Fields of Interest: Functional Analysis, Operator Theory, Distribution Theory, Frame Theory, Harmonic Analysis, Quantum Mechanics Francesco’s publications span topics like rigged Hilbert spaces, pseudo-bosonic operators, and generalized functions. He has reviewed works on von Neumann algebras, Banach spaces, and mathematical physics. No awards or students are explicitly mentioned in the available data.
Professor Rosa Greaves is a faculty member at the University of Glasgow and currently serves as Head of the School of Law. Her academic career is centered on European commercial law, with a focus on competition and transport law. Key roles: Head of School of Law (current), Visiting Fellow at University of Cambridge (1999–2004) Professional experience: Legal Service of the European Commission (1976), in-house consultant in Brussels (1989–1990), research at European Court of Justice (1995) Her research spans European commercial law, human rights, and justice frameworks, covering topics like civil/political rights , cultural rights , war crimes , and transitional justice . Her publications reflect deep engagement with EC legal systems, including books on competition law, transport law, and biotechnology. She delivered the 15th Hershell Smith Annual Public Lecture at Queen Mary & Westfield College and has collaborated on works analyzing the European Court of Justice’s legal order. Her career blends academic scholarship with practical legal consultation.
Alessio De Angelis is a researcher affiliated with the University of Perugia, focusing on advanced measurement systems, battery technology, and localization techniques. His work spans disciplines such as electrical engineering, machine learning, and IoT applications. University: University of Perugia Email: alessio.deangelis@unipg.it His research interests include: Battery management and state-of-charge estimation Uncertainty quantification in AI-based systems Ultra-wideband (UWB) and magnetic localization Wireless sensor networks for environmental monitoring Signal processing for quantized and constrained data IoT applications in structural and health monitoring Recent publications highlight his expertise in battery diagnostics, localization algorithms, and AI-driven measurement systems. Key trends involve integrating machine learning with electrochemical impedance spectroscopy (EIS) and optimizing low-complexity sensor architectures.
