Elisa Tacconi is a Lecturer at Bocconi University, specializing in mathematical finance and applied mathematics. She teaches courses such as Mathematical Models for Finance, Mathematics Module 1 (General), Mathematics Module 2 (Applied), and Mathematics Preparatory Course. Her research focuses on optimal control theory and financial dynamics, with notable contributions to dynamic programming and term structure modeling. Her publications include studies on control problems with delays (2014) and parametric analyses of term structures (2008). While no scientific awards are listed, her work bridges mathematical rigor with financial applications. Advising and grants details are not provided in the text. She is affiliated with Bocconi's mathematics and finance academic programs.
Alessia Melegaro is a Full Professor of Demography and Social Statistics at Bocconi University's Department of Social and Political Sciences, and a Research Associate at the Dondena Centre for Research on Social Dynamics and Public Policy. She holds a Ph.D. in Quantitative Epidemiology from the University of Warwick, UK. Her work bridges demography, epidemiology, and public health, focusing on policy modeling, vaccine strategies, and healthcare economics. She directs Bocconi's Master in Data Science and Business Analytics and leads the Bocconi Covid Crisis Lab, a multidisciplinary initiative analyzing the pandemic's societal impact. As Principal Investigator of an ERC Consolidator Grant, she studies human behavior's role in infection spread. Her research explores optimal vaccination programs, demographic-behavioral interactions, and AI-driven health resource allocation. Notable contributions include analyzing social contact patterns during the pandemic, vaccine acceptance dynamics, and global health equity in vaccine distribution. Her work emphasizes interdisciplinary collaboration, combining mathematical models with real-world data to inform public health policies. Recent studies highlight behavioral interventions for mask-wearing and influenza vaccination uptake among corporate workers.
Marco Andreatta is a Full Professor of Geometry at the University of Trento's Department of Mathematics, Faculty of Science. He earned his Ph.D. in Mathematics from the University of Trento in 1981 with highest honors. His academic career includes positions as Researcher (1983-1987), Associate Professor (1987-2000), and Full Professor (since 2000). He has held visiting professorships globally, including at the University of Notre Dame, Max-Planck Institute, and MSRI Berkeley. Research Interests: Andreatta specializes in algebraic geometry, focusing on classification of projective varieties, minimal models, Mori theory, and adjunction theory. His work extends to complex differential geometry, topology, and the philosophy of space. Since the 2000s, he has actively researched science communication, exploring mathematics' societal role through books and public engagement. Publications & Research: His 60+ publications emphasize birational geometry and higher-dimensional varieties. Recent works analyze Fano varieties, geometric contractions, and historical/theoretical intersections in mathematics. He frequently contributes to interdisciplinary topics linking geometry with art, history, and education. Awards & Leadership: Corresponding Member, Accademia delle Scienze di Torino (2014) Ordinary Member, Accademia Roveretana degli Agiati (2014) Finalist, Premio Nazionale di Divulgazione Scientifica (2022) Andreatta directs the Centro Internazionale di Ricerche Matematiche (CIRM) and has led the Department of Mathematics (2018-2021), the Faculty of Science (2004-2008), and the Trento Science Museum. He coordinates national research projects (PRIN) and advises doctoral students. Outreach: He authors popular science books (e.g., La Forma delle Cose , Archimede, l’arte della misura ) and lectures at festivals globally on mathematics' cultural and practical impact.
Pietro Cornetti is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Politecnico di Torino, where he also serves as Coordinator of the Doctoral School in Civil and Environmental Engineering. He is a member of the SISCON Interdepartmental Center for the Safety of Infrastructures and Constructions and the Doctoral School Council. His academic career has been deeply rooted at Politecnico di Torino, where he completed his education and has held continuous academic positions since 1999. His research interests span a broad spectrum of solid and fracture mechanics, with a focus on finite fracture mechanics , fractional calculus , fractal geometry , non-local elasticity , size effects in concrete and granular materials, and structural retrofitting using FRP/FRCM systems . His work bridges theoretical mechanics with practical applications in civil engineering and structural integrity. The 15 most recent publications highlight a strong trend toward integrating advanced mathematical frameworks—particularly fractional calculus and phase-field modeling—with classical and finite fracture mechanics. These works address brittle fracture, dynamic crack propagation, fatigue in composites, and debonding phenomena, demonstrating a consistent focus on improving predictive models for structural failure across scales. He actively mentors PhD students and leads major research initiatives, including the H2020-funded NEWFRAC project and the nationally funded REHARZE project on retrofitting historic architecture for zero emissions. His teaching portfolio includes Solid Mechanics, Structural Mechanics, Fracture and Plasticity, and advanced topics in computational mechanics across undergraduate, master's, and doctoral levels. He is affiliated with several professional organizations: Italian Group of Fracture (IGF) Italian Association of Applied and Theoretical Mechanics (AIMETA) European Structural Integrity Society (ESIS), Technical Committee TC16 He has served on the program committee of the International Conference on Fracture (ICF14) and participated in the organizing committee of AIMETA XXI. His research is supported by competitive grants from national (PRIN) and EU (H2020) funding programs. He supervises a research group focused on fracture mechanics and leads the Laboratorio di Meccanica della Frattura (DISEG) , which supports experimental and computational research in structural integrity. His team works on both theoretical developments and practical applications in civil and environmental engineering.
Valentino Santucci is an Associate Professor of Computer Engineering at the University for Foreigners of Perugia, Italy, affiliated with the Department of International Human and Social Sciences (SUSI). Since 2021, he has served as the Rector's Delegate for Technological Innovation and Information Flows, highlighting his leadership in digital transformation within the institution. His research spans key areas in Artificial Intelligence, particularly Evolutionary Computation, Natural Language Processing, Machine Learning applications in e-learning and sustainability, and digital technologies in education. He employs algebraic techniques to analyze combinatorial search spaces and evolutionary algorithm dynamics, contributing to both theoretical and applied advancements. The most recent publications reflect a strong trend in combinatorial optimization using algebraic frameworks, hybrid evolutionary-swarm algorithms, and applications in text complexity classification and educational technology. His work bridges computer science with humanities and sustainability, reflecting a multidisciplinary approach. PhD in Computer Science and Mathematics, University of Perugia (2012) He teaches courses in Artificial Intelligence, Computer Science for Humanities, Cybersecurity, and Sustainability across various degree programs. His editorial roles include contributing to WoS/Scopus-indexed journals, and he has taught at the University of Perugia and Hong Kong Baptist University. Dr. Santucci actively mentors through teaching and research supervision. While specific student names are not listed, his involvement in academic projects and publications suggests advisory roles. He has no explicitly mentioned grants, but his research output and leadership position indicate active project engagement. He is involved in institutional innovation through his role in technological advancement and has contributed to projects integrating soft skills and learning technologies. His work emphasizes practical applications of AI in education and sustainability, positioning him at the intersection of technical innovation and societal impact.
Tullio Ceccherini Silberstein is an Associate Professor of Mathematical Analysis in the Department of Engineering at the University of Sannio, Italy. He also maintains an affiliation with the Istituto Nazionale di Alta Matematica 'Francesco Severi' in Rome. His teaching responsibilities include Mathematics courses for Civil Engineering and Energy Engineering programs. His primary research interests span Mathematical Analysis, Group Theory, Cellular Automata, Harmonic Analysis, Representation Theory, and Symbolic Dynamics. His work has significantly contributed to the understanding of the Garden of Eden theorem for cellular automata, finite Gelfand pairs, and ergodic properties of dynamical systems. His research demonstrates strong connections between algebraic structures, combinatorial methods, and dynamical systems. Analysis of his recent publications reveals a continued focus on the intersection of algebraic structures and dynamical systems, with particular emphasis on sofic groups, surjunctivity, and the Garden of Eden theorem across various mathematical contexts. His work shows evolution from foundational studies in cellular automata to increasingly sophisticated applications in group theory and algebraic dynamics. Throughout his career, Ceccherini Silberstein has maintained an active presence in the mathematical community through numerous conference presentations and collaborations, particularly with Michel Coornaert. His work bridges theoretical mathematics with applications in symbolic dynamics and computational group theory.
Riccardo Augello is a Research Fellow in the Department of Mechanical and Aerospace Engineering at Politecnico di Torino, Italy. He is actively involved in both research and teaching, serving as a course collaborator in aerospace engineering programs focusing on structural mechanics and spacecraft design. His academic work is centered on advanced computational modeling of complex structures using the Carrera Unified Formulation (CUF). His research interests include computational structural mechanics, finite element analysis, composite materials, aerospace structures, multilayered systems, and nonlinear structural behavior. He specializes in high-fidelity modeling of deployable space structures, sandwich panels, and reinforced concrete systems, with a strong emphasis on accuracy and computational efficiency. His recent publications (2023–2025) reveal a consistent focus on applying CUF to diverse structural problems, including damage analysis in concrete, folding of tape springs, global/local modeling of composites, and dynamic behavior of metamaterials. The work demonstrates a strong trend toward high-order, refined modeling techniques for both terrestrial and space applications, often validated against experiments. Scientific Responsible, NOVITAS project (2023–2026), EU-funded MSCA grant on nonlinear analysis of deployable composite booms. He is a core member of the MUL2 (Multilayered structures and Multifield analyses) research group, collaborating closely with Prof. Erasmo Carrera and other researchers. His teaching contributions include modules in Spacecraft Structures, Aeronautical Structures, and Additive Manufacturing for Aerospace Applications. No formal advisees or scientific awards are mentioned in the available texts.
Niccolò Urbinati is a Researcher (RTT) at the Department of Economics of Ca' Foscari University of Venice . He holds a PhD in Economics (2020) and has previously served as a Research Fellow at the same university and as a Researcher (RtdA) at the Department of Economics and Statistics, University of Naples 'Federico II'. His research focuses on Mathematical Economics and Microeconomic Theory . PhD in Economics (University of Naples 'Federico II', 2020) Master's Degree in Mathematics (University of Udine, 2016) Bachelor's Degree in Mathematics (University of Udine, 2013) His research explores the mathematical foundations of economic equilibrium through techniques like vector measure theory, bargaining sets, and repeated rational expectations models. Recent work includes contributions to market allocation mechanisms and coalition theory in large economies. Scientific recognition includes the AMASES Award (2020) and STAR Program funding (2018). He has taught advanced mathematics courses in doctoral programs at the University of Naples and undergraduate economics courses at Ca' Foscari University. His publications appear in journals like Economic Theory and Journal of Mathematical Economics , alongside working papers from institutions such as the CSEF Center for Studies in Economics and Finance .
Annarita De Maio serves as a Researcher in Operations Research (MAT/09) at the Department of Economics, Statistics and Finance (DESF) of the University of Calabria, where she teaches Logistics, Operations Research, and Mathematical Methods for Economics courses across undergraduate and graduate programs including Economics, Data Science, and Management Engineering. PhD in Mathematics and Computer Science (2018), University of Calabria Dissertation: Integrated Logistics and Last-Mile Deliveries (developed with Procter & Gamble) Research periods at P&G Brussels and CIRRELT/Laval University (Quebec) Her research centers on Logistics 4.0 innovations with dual emphasis on sustainable last-mile delivery systems (crowdshipping, autonomous robots, locker networks) and smart tourism applications . Current projects integrate IoT and AI for optimizing pharmaceutical distribution, perishable goods logistics, and urban tourist trip planning while addressing environmental constraints and stochastic demand patterns. Recent publications (2022-2025) reveal three thematic clusters: (1) stochastic optimization for dynamic delivery systems, (2) sustainable urban logistics solutions using multi-modal transport, and (3) data-driven tourism management frameworks. Her work consistently bridges theoretical modeling with industrial case studies involving Italian companies and municipal authorities. As an active member of DESF's Quantitative Methods for Economics, Finance and Management research group, she contributes to regionally and nationally funded projects focusing on mathematical programming applications. Her international conference participation includes speaking and organizing roles at major logistics and operations research events. Dr. De Maio collaborates within the department's research ecosystem through the Quantitative Methods group, which develops computational models for decision-making in finance, actuarial science, and transportation. Current initiatives explore crowdshipping economics, green tourist trip design, and risk-aware inventory systems for perishable commodities.
Salvatore Modica serves as a Full Professor of Economics (ECON-01/A) at the University of Palermo, Italy, within the Department of Economics in the School of Economics and Business Administration. His academic career spans over fifteen years with continuous teaching assignments from the 2009/2010 academic year through the upcoming 2026/2027 term. Professor Modica maintains regular office hours on Mondays, Wednesdays, and Fridays from 1:00 pm to 2:00 pm and can be contacted at salvatore.modica@unipa.it or by phone at +3909123895276. Professor Modica's research focuses on the theoretical foundations of economic behavior with particular emphasis on game theory, political economy, and institutional analysis. His work examines how social norms emerge and persist through evolutionary processes, how power dynamics shape institutional development, and how strategic interactions determine economic outcomes. He has developed sophisticated theoretical frameworks for analyzing collective action problems, leadership structures, and the political economy of conflict, often bridging mathematical rigor with institutional insights. His recent scholarly output demonstrates a clear trajectory toward increasingly sophisticated applications of game theory to political economy questions. Publications from 2021-2024 show deep engagement with how social norms interact with power structures, how institutions evolve through conflict, and how seemingly irrational behaviors emerge as stable equilibria. His work increasingly connects theoretical game-theoretic models with historical and contemporary political economic phenomena, particularly in understanding state formation and organizational behavior. Throughout his career, Professor Modica has maintained a robust teaching schedule across multiple disciplines including Informatics, Business Economics, Statistics and Data Science, and Economic and Financial Sciences. His core courses—Calculation of Probabilities, Game Theory, and Political Economy—have been consistently offered across various degree programs, demonstrating his central role in providing quantitative economic education at the University of Palermo.
Eleonora Bilotta is a Full Professor of General Psychology at the Department of Physics, University of Calabria, Italy. She is the coordinator of the Ph.D. Course in Psychology of Programming and Artificial Intelligence and vice-coordinator of the Ph.D. Course in Science, Engineering of Environment, Construction, and Energy. Her research spans interdisciplinary fields such as cognitive psychology, educational technologies, artificial life, and mathematical modeling of behavior. Prof. Bilotta has over 150 publications and has contributed to journals like Complexity and International Journal of Bifurcation and Chaos . She led initiatives like the COMSON project (EU-funded) for e-learning platforms and directed the Evolutionary Systems Group (ESG). She also organized conferences such as the International Conference on Simulation of Adaptive Behavior and the Workshop on Artificial Life. Her work bridges science and art, leveraging chaos theory for creative design and educational tools. She collaborates globally, including with institutions like Bergische Universität Wuppertal and Chapman University. Her labs focus on cognitive science, modeling, and simulation, emphasizing innovation in education and technology.
Silvia Faggian is an Associate Professor at Ca' Foscari University of Venice's Department of Economics. She serves as the Department's Delegate for Entrance Exams and Additional Learning Requirements in Mathematics. Her research focuses on mathematical methods in economics, actuarial sciences, and financial mathematics, with particular expertise in network theory, optimal control, and spatial economics. Research interests span mathematical economics, network externalities, spatial resource allocation, dynamic optimization, and economic growth models. Her work frequently applies advanced mathematical techniques to economic systems and resource distribution problems. Publications demonstrate sustained focus on dynamic optimization problems, spatial economics, and network-based economic modeling. Recent work emphasizes resource competition in networked systems and growth models with externalities, while earlier publications established foundational contributions to vintage capital theory and optimal control applications. Teaching activities include coordination of mathematics entrance requirements and undergraduate mathematics instruction within the economics curriculum.
Luca Crocetti is an Assistant Professor at the Department of Information Engineering (DII) of the University of Pisa. His research focuses on hardware security, embedded systems, and VLSI design for applications in Automotive, Space, IoT, and High-Performance Computing. He specializes in cybersecurity modules for automotive systems, space-grade FPGAs, and digital signal processing in satellite communications. His teaching includes electronics laboratory practices and cybersecurity principles, with a recent course on hardware's role in security for the Ph.D. program in Information Engineering. He has authored over 20 publications and holds 3 patents (1 national, 2 international), with notable work on cryptographic cores, secure boot mechanisms, and automotive cybersecurity. His contributions span efficient hardware implementations of AES, SHA-3, and other cryptographic algorithms, emphasizing compliance with standards like CCSDS for space applications. His research trends highlight a focus on hardware-efficient architectures, modular design for scalability, and robust security protocols for trusted environments. Notable publications address cryptographic co-processors for the European Processor Initiative, PUF-based security for RISC-V, and FPGA-based RNGs. While no formal awards are listed, his active role in cutting-edge cybersecurity projects underscores his contributions to embedded and space system security. His teaching and research emphasize hands-on lab experiences and real-world applications of hardware security principles.
Firas Ben Ramdhane is a mathematician affiliated with Aix-Marseille University and contributes to the GDAC team at the Institute of Mathematics in Marseille . He earned his Ph.D. in 2023 through a joint program with Aix-Marseille University and the University of Sfax in Tunisia. Education: Ph.D. in Mathematics (2023), Aix-Marseille University & University of Sfax His research focuses on symbolic dynamical systems, cellular automata, substitutions, and their interplay with edit distances and ergodic theory. He explores topological spaces defined via pseudo-metrics and investigates structural properties like surjectivity, permutivity, and reversibility. The trends in his publications highlight the application of edit distances (e.g., Levenshtein distance) to symbolic dynamics, emphasizing dill maps, cellular automata, and substitutions. His work bridges combinatorics, theoretical computer science, and dynamical systems. He has held teaching roles at Aix-Marseille University, CESI, and ESAIP, delivering mathematics lectures. No scientific awards are explicitly mentioned in the text.
Michela Zedda is an Associate Professor at the Department of Mathematical, Physical and Computer Sciences of the University of Parma. Her research focuses on differential and symplectic geometry, particularly in Kähler metrics, Sasakian manifolds, and geometric quantization. Department: Mathematical, Physical and Computer Sciences (University of Parma) Academic Rank: Associate Professor Email: michela.zedda@unipr.it Her work explores the interplay between Kähler and symplectic structures, with key contributions to projectively induced metrics, immersions into complex space forms, and the geometry of Cartan-Hartogs domains. Recent publications (2024–2025) address scalar flat metrics on line bundles and symplectic cones over Sasakian manifolds. Zedda's research spans geometric analysis, including the Yamabe problem, Ricci solitons, and stability under Lie group actions. She has extensively studied diastasis functions, TYZ expansions, and balanced metrics in both Cartan and Hartogs domains. Teaching appointments include Geometry courses for Mathematics and Management Engineering students at the University of Parma (2022–2025) and previous roles in Mathematics and Dental Medicine programs. No scientific awards or advisees are documented in the provided texts.
