جست‌وجوی استاد و پژوهشگر

Yehia Moustafa Abd Alrahmanمشاهده پروفایل

پژوهشگر ارشد

• Formal Methods
• Attribute-based Communication
• Collective Adaptive Systems
• +۴ مورد دیگر

Yehia Moustafa Abd Alrahman is a PostDoc researcher at the SysMA research unit of IMT School for Advanced Studies Lucca, where he also participates in the FILIERASICURA project with Cisco. He is preparing to relocate to the University of Leicester to collaborate with Prof. Nir Piterman on the ERC Consolidator Project DSynMA (Distributed Synthesis from Single to Multiple Agents). His academic journey began with a scholarship-funded computer engineering degree at IMT Lucca, followed by a master's scholarship in computer science where he served as a teaching assistant. Abd Alrahman's research focuses on formal methods for developing correct-by-construction software systems with emphasis on predictability, adaptivity, efficiency, reusability, maintainability and modularity. His work particularly addresses challenges in contemporary information systems including embedded systems and service-oriented architectures. Currently, he is investigating formal analysis approaches for securing supply chains in cyber-physical systems. His research spans attribute-based communication, collective adaptive systems, multi-agent systems verification, and reconfigurable distributed systems. His publication record shows a consistent trajectory from foundational work on attribute-based communication (2014-2018) toward increasingly sophisticated verification frameworks for reconfigurable systems (2019-2025). Recent publications demonstrate a clear evolution toward distributed synthesis techniques, model checking for reconfigurable multi-agent systems, and formal frameworks for runtime reconfiguration. His work bridges theoretical computer science with practical applications in secure system design. Abd Alrahman completed his PhD with first honors rating 'excellent' in the Computer, Decisions, and Systems Science track at IMT School for Advanced Studies Lucca. While no formal awards are documented in the provided materials, his consistent publication record in top venues like FORTE, ISoLA, and AAMAS demonstrates recognition within the formal methods community. His collaborations with established researchers like Nir Piterman, Rocco De Nicola, and Michele Loreti indicate strong research networks. As a PostDoc researcher, Abd Alrahman works within the SysMA research unit at IMT Lucca, contributing to the Italian Project FILIERASICURA with Cisco. His upcoming move to Leicester represents a significant career advancement through the ERC Consolidator Project DSynMA, which will expand his research scope into distributed synthesis for multi-agent systems.

• Artificial Intelligence
• Computer Vision
• Data Science
• +۳ مورد دیگر

Rosario Milazzo is a PhD candidate (2022-2025) in Computer and Systems Engineering at the Department of Control and Computer Engineering (DAUIN), Polytechnic University of Turin, concurrently serving as an external lecturer and teaching assistant for Innovation Management and ICT Product Development in Management Engineering. His research centers on developing robust deep neural networks resilient to transient faults like radiation-induced errors in satellite and automotive systems. He earned Bachelor's (2020) and Master's (2022) degrees in Computer Engineering from the same institution, joining the GRAINS research group as a scholarship holder before commencing his NODES-funded PhD under advisors Lia Morra, Sophie Fosson, and Luca Sterpone. Research focuses on Artificial Intelligence with specialization in Computer Vision and fault-tolerant deep learning for critical infrastructure. His work integrates self-supervised learning, quantization, and architectural innovations to maintain accuracy/efficiency under hardware-induced faults in space and mobility applications, addressing real-world reliability challenges. Publication analysis (2020-2025) reveals a progression from agricultural photogrammetry to cutting-edge fault-tolerant AI, with recent works emphasizing medical imaging (mammography), satellite systems, and weather-event mitigation through graph/transformer architectures and self-supervised techniques. Funded by NODES (North West Digital and Sustainable), Milazzo contributes to the GRAINS research group's mission without current advisees. His scholarship position since 2022 supports collaborative development of intelligent systems for high-stakes environments. As a GRAINS (GRAphics and INtelligent Systems) member, he operates within a specialized environment advancing graphics, computer vision, and robust AI deployment, directly enabling his investigations into neural network resilience for satellite and automotive domains.

Alessandra RAFFAETA'مشاهده پروفایل

دانشیار

• Mobility Data Analytics
• Trajectory Data Warehousing
• Spatiotemporal Analysis
• +۵ مورد دیگر

Alessandra RAFFAETA' serves as Associate Professor in the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University of Venice, where her research bridges computer science with environmental applications through advanced mobility data analytics. Her research expertise spans several interconnected domains: Mobility Data Analytics and Trajectory Pattern Recognition Semantic Trajectories and Spatiotemporal Modeling Big Data Processing for Environmental Monitoring Marine Noise Pollution and Fisheries Management Privacy-Preserving Data Mining and Ethical Considerations Urban Mobility and Tourist Behavior Analysis Dr. RAFFAETA's scholarly output demonstrates a clear evolution from theoretical foundations in constraint logic programming to practical environmental applications. Her recent work (2021-2025) shows increasing focus on marine environmental challenges, particularly underwater noise characterization through semantic trajectories and analysis of fishing activities in the Adriatic Sea. A notable trend is her growing attention to ethical dimensions of mobility data usage, reflecting the field's maturation and societal implications. Her research methodology combines advanced trajectory data warehousing techniques with machine learning to extract meaningful patterns from complex spatiotemporal datasets. She has developed specialized frameworks for visual OLAP analysis on trajectory data and semantic enrichment of mobility information, with applications ranging from marine conservation to urban planning. Dr. RAFFAETA' actively contributes to the mobility data analytics community through workshops like the International Workshop on Big Mobility Data Analytics (BMDA) and collaborative research addressing real-world environmental challenges. Her work with marine scientists on fishing vessel tracking and with urban planners on Venice tourism patterns demonstrates strong interdisciplinary collaboration. Her laboratory work likely involves trajectory data management systems, semantic enrichment tools, and spatiotemporal analysis frameworks that enable both theoretical exploration and practical environmental monitoring applications.

• Formal verification
• Model checking
• Binary decision diagrams
• +۷ مورد دیگر

Gianpiero Cabodi is an Associate Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic of Turin, where he is also a member of the University Internship Commission. He is actively involved in teaching and research within the College of Computer, Film and Mechatronics Engineering. Research Interests: His research spans formal verification, model checking, binary decision diagrams, SAT solvers, embedded system design, and cybersecurity. His work emphasizes formal methods for ensuring correctness and security in hardware and software systems, particularly in safety-critical and automotive applications. Recent Publications: His 2024 publications demonstrate a strong focus on optimizing formal verification techniques. He explores interpolation-based improvements in bounded model checking, hardware model checking algorithms, and the use of binary decision diagrams in interpretable machine learning—highlighting a convergence of formal methods with modern AI interpretability and hardware verification. Teaching and Leadership: He has served as a course instructor for advanced data structures in Python, systems programming, and algorithms. He has also directed several doctoral programs in Computer and Systems Engineering. His leadership extends to research projects such as REBECCA and OSMOSIS, and he has chaired international workshops including FMCAD and DIFTS. Research Projects: REBECCA (2023–2026): Scientific Head of Structure, focusing on reconfigurable platforms for secure AI. OSMOSIS (2008–2010): Scientific Responsible for EU-funded codesign of embedded systems. Multiple commercial research projects on embedded systems in automotive, RFID traceability, cybersecurity, and HMI design (2008–2025). Advising and Grants: While no formal students are listed, he has supervised numerous research projects, often as Scientific Manager or Responsible, funded by both EU programs and industry contracts. His work bridges academic research and industrial applications, particularly in automotive and embedded domains. Labs and Teams: He is a key member of the FM - Formal Methods (DAUIN) research group, which focuses on formal verification techniques for digital systems.

Gianluca Sicchieroمشاهده پروفایل

استاد

• Private Law
• Contract Law
• Notarial Law
• +۴ مورد دیگر

Gianluca Sicchiero is a Full Professor in the Department of Economics at Ca' Foscari University of Venice, specializing in Private Law (SSD: GIUR-01/A). He serves as the Department Delegate for Relations with Professional Orders, demonstrating his active role in bridging academic and professional legal communities. His office is located at the San Giobbe campus, and he maintains regular office hours on Wednesdays at 10:00 AM by appointment via email. Professor Sicchiero's research focuses on Private Law, Contract Law, Notarial Law, and IT Law, with significant contributions to Civil and Commercial Law. His scholarly work demonstrates deep engagement with both theoretical and practical aspects of legal systems, particularly in the areas of notarial practice, contractual interpretation, succession law, and European Union legal directives. His publications reveal a consistent scholarly output addressing contemporary legal challenges while maintaining connection to foundational legal principles. His recent publications (2023-2025) show a clear focus on notarial law, contractual interpretation, succession matters, and the implementation of EU directives. These works appear in prestigious Italian legal journals including Vita Notarile , Giurisprudenza Italiana , and the Quarterly Review of Economic Law . The research demonstrates both doctrinal depth and practical relevance to legal professionals, particularly notaries and civil law practitioners. Professor Sicchiero teaches IT Law for Computer Science students and Private Law for Economics and Commerce students at Ca' Foscari University. His teaching spans multiple academic years (2020-2025), indicating his established role in the university's curriculum. The division of Private Law into two parts (for surnames A-La) reflects the substantial nature of this course and the large number of students enrolled.

Adolfo Pipernoمشاهده پروفایل

دانشیار

• Formal Methods
• Functional Programming
• Lambda Calculus
• +۳ مورد دیگر

Adolfo Piperno is an Associate Professor in the Department of Computer Science at Sapienza University of Rome. He has been serving as Assistant Professor since 1991 (K05B) and was promoted to Associate Professor in 1998 (INF/01). His teaching responsibilities for Academic Year 2024-25 include Models of Computation (Master Degree), Mathematical Methods for Computer Science, and General IT/C programming courses. Professor Piperno's research focuses on formal methods in computer science, with particular expertise in functional programming, lambda calculus, type theory, and graph algorithms. His current research centers on practical aspects of graph isomorphism, which aligns with his involvement in the development of nauty and Traces - programs for computing automorphism groups of graphs and producing canonical labels. His publication record demonstrates expertise across theoretical computer science, particularly in areas related to formal verification and graph theory. His work shows a consistent focus on foundational aspects of computation and practical algorithmic approaches to complex problems in graph theory. Professor Piperno holds a Degree in Mathematics (1986) and a PhD in Computer Engineering (1991, 3rd cycle). His office is located in the Department of Computer Science, Viale Regina Elena, 295 (Building E), 3rd floor, room 306, with office hours available by appointment.

Anna Monrealeمشاهده پروفایل

دانشیار

• Data Analytics
• Data Mining
• Artificial Intelligence
• +۵ مورد دیگر

Anna Monreale is an Associate Professor of Computer Science at the University of Pisa and serves as the Delegate for Masters and Continuing Education. She concurrently holds an Adjunct Professor position at Dalhousie University's Faculty of Computer Science. Her institutional leadership includes vice-coordinating the National Doctorate in Artificial Intelligence for Society and chairing the Internships Committee for the Master's in Data Science & Business Informatics. She earned her Bachelor's and Master's degrees with honors in Computer Science from the University of Pisa in 2007 and completed her PhD there in 2011. Prior to her faculty appointment, she conducted research on European projects from 2011-2014 and has been affiliated with the CNR's Institute of Information Science and Technologies since 2008. Professor Monreale's research centers on ethical AI development, with core expertise in data mining, explainable AI, and privacy-by-design methodologies. Her work bridges technical innovation with societal impact, particularly in healthcare applications, mobility data analysis, and social media systems. She emphasizes transparency and legal compliance in algorithmic decision-making. Her recent publications (2023-2025) reveal a concentrated focus on trustworthy AI frameworks, with significant contributions to federated learning privacy, trajectory data protection, and real-time explainability systems. She actively addresses emerging challenges in content moderation regulation and healthcare AI deployment. As an educator, she teaches Data Mining and Data Science Lab courses while directing major academic initiatives. She leads a PNRR-funded national project and a European research project, with over 90 publications and 3,200+ citations reflecting her scholarly impact. She is a key member of the University of Pisa's KDD Lab and maintains strong ties with CNR research units.

• Computer Engineering
• VLSI Design
• Fault-Tolerant Systems
• +۴ مورد دیگر

Francesco Angione is a Research Fellow at the Department of Automatic Control and Computer Science (DAUIN) of Politecnico di Torino. He serves as an external teacher and collaborator for courses such as 'Computer architectures' and 'Architectures of processing systems' within the Computer Engineering program. His research focuses on system-level testing, automotive SoCs, FPGA-based testing solutions, and hardware-AI integration. He is affiliated with the CAD - Electronic CAD & Reliability Group at DAUIN. His work emphasizes optimizing test methodologies for automotive systems, leveraging advanced testing equipment (ATE), and developing efficient algorithms for burn-in stress and functional safety. Recent contributions include trustworthiness in hardware-AI integration, burn-in stress quantification, and FPGA-based accelerators for machine learning. Angione's publications span conferences like IEEE VLSI Test Symposium and International Symposium on Defect and Fault Tolerance, with a focus on VLSI, embedded systems, and reliability engineering. His doctoral thesis (2025) explores system-level test techniques for automotive SoCs under Professors Bernardi and Cantoro. He collaborates extensively with industry partners to bridge academic research with practical applications in automotive electronics and semiconductor testing. Key research themes include functional safety compliance, test cost reduction via novel algorithms, and integrating fault injection methods into real-time operating systems. His lab work involves designing flexible FPGA-based test equipment to address manufacturing challenges in digital systems.

Roberto Bruniمشاهده پروفایل

استاد

• Operational Semantic
• Petri Nets
• Reaction Systems
• +۵ مورد دیگر

Roberto Bruni is a Professor in the Department of Computer Science at the University of Pisa, Italy. He has been actively contributing to theoretical computer science with a focus on formal methods, operational semantics, and reaction systems. His academic service includes serving as PC member for SAS 2025 and CMSB 2025 conferences. Professor Bruni's research interests span Operational Semantic, Petri Nets, Reaction Systems, Graph Transformation, and Monoidal Category. His work bridges theoretical computer science with applications in computational biology and program analysis. He has developed significant tools like BioReSolve, a Prolog interpreter for Reaction Systems analysis, and has contributed to projects such as RemConf (Confusion removal in Petri nets) and The Link Calculus. His recent publications demonstrate a strong focus on reaction systems, program analysis, and formal verification methods. The research trend shows increasing application of theoretical computer science concepts to biological modeling and healthcare applications, particularly through enhanced reaction systems frameworks. Professor Bruni holds several institutional responsibilities including membership in the Commission Didattica del GRIN since 2020, delegation to the University Information System (SIA) for the Department of Computer Science since 2020, and membership in the Doctoral College for Smart Industry since 2018. He has been Vice-president of the Master's Degree in Data Science and Business Informatics at the University of Pisa since 2017. His teaching portfolio is extensive, covering courses in programming, algorithms, quantum computing, business process modeling, and program analysis for both undergraduate and graduate students in multiple languages (Italian and English). He has taught courses such as Programmazione e Algoritimica, Models for Programming Paradigms, Business Processes Modeling, Program Analysis, and Introduction to Quantum Computing. Professor Bruni has been involved in numerous research projects including PRA (FM4HD, DECLWARE, FOG), PRIN (ASPRA, CINA, IPODS), and several EU-funded projects (IST-FP7 ASCENS, IST-FP6 SENSORIA, CoMeta, AGILE, NAPI, GETGRATS). His previous academic positions include PhD Student at University of Pisa, International Fellow at SRI Computer Science Laboratory, and Visiting Scholar at UIUC.

Rida Ghafoorمشاهده پروفایل

استادیار

• Machine Learning
• Medical Artificial Intelligence
• Security Systems
• +۳ مورد دیگر

Rida Ghafoor is an active PhD student in Smart Computing at the University of Florence, supervised by Professor Marco Gori. She is concurrently an Assistant Professor at the National University of Computer and Emerging Sciences (FAST), Faisalabad, Pakistan, currently on study leave to pursue her doctoral research. Her academic journey includes a bachelor’s and master’s in Software Engineering from the University of Engineering and Technology, Taxila, Pakistan, with her master’s research conducted in collaboration with the University of East London. Education: PhD in Smart Computing, University of Florence (2020–present) MSc in Software Engineering, University of Engineering and Technology, Taxila (2015) BSc in Software Engineering, University of Engineering and Technology, Taxila (2013) Her research centers on the foundations of machine learning, aiming to develop robust modeling frameworks with applications in medical science and security systems. She is particularly interested in interdisciplinary approaches that integrate mathematics with AI to solve real-world problems. Her past work has explored intelligent mobile applications and machine learning models for dementia patient analysis. The recent articles reflect a strong focus on applied machine learning, especially in healthcare and software security. Her work bridges theoretical modeling with practical implementation, evident in publications ranging from Android-based intelligent systems to clinical data analysis. The interdisciplinary nature of her research is supported by collaborations across institutions and domains. Scientific Awards: 1st position in Security based Software Projects at Youth Festival Punjab, Pakistan Rida Ghafoor has supervised multiple student projects in machine learning during her tenure at FAST-NUCES, Faisalabad. While specific grants are not mentioned, her full scholarship during her master’s and active PhD enrollment suggest institutional funding support. Her academic trajectory demonstrates a commitment to both teaching and advanced research in artificial intelligence. Rida is affiliated with the Siena Artificial Intelligence Lab (SAILab), where her current PhD research is being conducted under the supervision of Professor Marco Gori. This lab serves as the primary environment for her ongoing work in smart computing and foundational machine learning.

• Industrial Networks
• Network Security
• Formal Verification
• +۳ مورد دیگر

Luca Durante serves as an External Lecturer and Teaching Assistant at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin, while holding a Senior Researcher position at the National Research Council - Institute of Electronics, Information and Telecommunications Engineering (CNR-IEIIT). His current teaching responsibilities include instructing Databases for Management Engineering undergraduates (2024/25) and serving as Teaching Assistant for Formal Verification of Concurrent and Distributed Software and Systems in the PhD program. His research centers on industrial network security and formal verification , with deep expertise in industrial communication protocols like Fieldbus. Key contributions span security policy enforcement in industrial control systems, access control modeling, and performance analysis of networked industrial environments. Recent work integrates Software Defined Networking (SDN) for dynamic security solutions, while maintaining foundational research in protocol standardization. Durante's publication history reveals an evolutionary trajectory from early protocol performance studies (1990s) toward modern security frameworks for industrial IoT. His 2013-2017 work established critical methodologies for access control policies and SDN-enhanced security, demonstrating consistent focus on bridging theoretical verification with industrial implementation challenges across three decades. Scientific Awards: No awards documented in source materials. Advising and Grants: No student advisement records or grant funding details were provided in available documentation. Current roles indicate teaching-focused contributions without indication of doctoral supervision.

Luca Spalazziمشاهده پروفایل

دانشیار

• Computer Science
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Luca Spalazzi is an Associate Professor at the Department of Information Engineering , Università Politecnica delle Marche , Italy. His research spans multiple domains including cybersecurity , blockchain technology , machine learning , and telerehabilitation systems for Parkinson's disease. He applies formal methods to software verification and security analysis, with a focus on real-time systems and distributed architectures . Key research areas: Cybersecurity, Blockchain, Machine Learning, IoT, Formal Verification Recent work: Blockchain-based sustainable supply chains, Zero-Knowledge Proofs, Smartphone health monitoring His publications (2013-2025) demonstrate expertise in malware detection , smart contract verification , and AI-driven health solutions . Articles include BRAIN 2024 workshop organization and RAPIDO system for Parkinson's telerehabilitation.

• Plant Biology
• Molecular Biology
• Plant-Environment Interactions
• +۴ مورد دیگر

Giuseppe Diego Puglia is a Lecturer of General Botany (BIO/01) at the University of Catania and a researcher at the Institute for Mediterranean Agricultural and Forestry Systems (CNR-ISAFOM), where he serves as head of the Catania office and the Plant Molecular Biology laboratory. He has held these positions concurrently while making significant contributions to plant science research and education. Dr. Puglia's research focuses on plant responses to environmental stressors, with particular emphasis on seed germination behavior, plant-microorganism interactions, and molecular mechanisms of stress tolerance. His work bridges fundamental plant biology with practical applications for agriculture in changing climates, utilizing approaches including gene expression analysis, transcriptomic analyses with specialized bioinformatic methods, and metagenomic studies of rhizospheric communities. His publication record demonstrates consistent productivity across diverse areas including plant molecular biology, environmental monitoring, and interdisciplinary applications. Recent work shows increasing focus on climate change indicators, stress response mechanisms in Mediterranean species, and applications of plant science to human health, with notable studies on cardoon (Cynara cardunculus) as a promising crop for marginal lands. Associate editor of Applications in Plant Sciences (APPS) Member of International Society for Seed Science (ISSS) Member of Botanical Society of America (BSA) Supporting scientist for CNR of European Plant Science Organization (EPSO) since 2020 Dr. Puglia leads the Plant Molecular Biology laboratory at CNR-ISAFOM in Catania, where his team applies advanced molecular and bioinformatic approaches to study plant adaptation mechanisms. His work on cardoon has demonstrated its potential for green chemistry, nutraceutical, and pharmaceutical applications, particularly its ability to produce high levels of biologically active compounds under stress conditions.

Francesco Di Renzoمشاهده پروفایل

دانشیار

• Theoretical Physics
• Quantum Field Theory
• Lattice Gauge Theory
• +۶ مورد دیگر

Francesco Di Renzo is Associate Professor of Theoretical Physics at the University of Parma's Department of Mathematical, Physical and Computer Sciences. Appointed faculty in 2001 and promoted to associate professor in 2016, he holds concurrent research appointments with INFN and coordinates the €4M EuroPLEx H2020 network. His academic background includes: Laurea (Master's equivalent) in Physics with honors, University of Parma PhD in Physics, University of Parma Di Renzo's research centers on lattice formulations of quantum field theories with emphasis on fundamental interactions. He pioneers computational approaches to critical phenomena using Lee-Yang zero analysis and thimble regularization to address sign problems in QCD. His work integrates high-performance computing architectures with emerging AI techniques for non-perturbative physics simulations. Analysis of his 2022-2025 publications reveals three dominant trends: (1) Application of multipoint Padé approximants to locate QCD critical points through Lee-Yang edge singularities, (2) Development of Numerical Stochastic Perturbation Theory (NSPT) for O(N) sigma models at large N, and (3) Cross-disciplinary fusion of machine learning with lattice field theory for phase transition analysis. He currently supervises three PhD students and has served on the Doctoral Studies Committee since 2000. His grant leadership includes EuroPLEx (H2020 scientific coordinator), STRONGnet (FP7 Parma unit lead), and multiple PRIN projects where he coordinated research units. As an INFN-appointed researcher, he directs the QCDLAT initiative. Di Renzo actively contributes to international infrastructure through the International Lattice Data Grid (where he serves as Italian representative and former chairman) and the INFN SUMA supercomputing project. He previously led the AuroScience initiative and currently shapes UNIPR's high-performance computing strategy as committee member.

• Quantum Field Theory
• String Theory
• Supersymmetric Gauge Theories
• +۵ مورد دیگر

Luca Griguolo serves as Associate Professor in Theoretical Physics at the University of Parma's Department of Physics, where he has been a faculty member since 1999. Concurrently, he holds a Research Associate position at INFN (Istituto Nazionale di Fisica Nucleare) and fulfills multiple leadership roles including Coordinator of the INFN Parma Group since 2014 and membership on the INFN National Committee for Theoretical Physics. PhD in Theory of Elementary Particles, SISSA (Trieste), 1990-1994 Master in Theoretical Physics, SISSA (Trieste), 1992 Laurea in Fisica, Padua University, 1984-1990 Professor Griguolo's research spans fundamental theoretical physics with emphasis on quantum field theory and string theory. His work explores both perturbative and non-perturbative aspects of gauge theories, supersymmetry, AdS/CFT correspondence, and quantum gravity. His theoretical investigations bridge mathematical physics with potential implications for understanding fundamental aspects of particle physics and quantum gravity, particularly through the lens of string theory and related mathematical frameworks. His recent publications (2024-2025) demonstrate sustained engagement with cutting-edge topics in theoretical physics, particularly focusing on Wilson loops in supersymmetric gauge theories, localization techniques, and instanton phenomena. These works examine non-conformal N=2 theories, mass-deformed ABJM theory, and 2D Yang-Mills theory, reflecting his continued contributions to advancing our understanding of quantum field theories through sophisticated mathematical approaches. Aldo Gini Fellowship (1995) INFN-CICYT project Spokesman for 'QFT on NC spaces' Parma-Salamanca (2005) Professor Griguolo has supervised 11 PhD students, 18 Master's students, and 10 Bachelor's students throughout his career. His research is supported by multiple grants including ongoing FIL funding from Parma University, COST Action MP1210 'The String Theory Universe', and various PRIN projects. He serves on the Scientific Board of the Physics PhD program and coordinates the National INFN project 'GAST (Gauge and String Theory)'. He actively collaborates with international institutions including MIT, CERN, and numerous European universities, contributing to the global theoretical physics community through joint research, conference organization, and participation in international schools such as LACES at the Galileo Galilei Institute.