Find Academic Supervisors

• Risk Management
• Financial Mathematics
• Actuarial Science
• +7 more

Cosimo Munari is an Associate Professor at the Department of Economics, University of Verona. His academic rank is Associate Professor in the area of Mathematical Methods for Economy, Finance, and Actuarial Sciences. He holds an MSc in Mathematics from the University of Milan, an MA in Finance from Collegio Carlo Alberto in Turin, and a PhD in Financial Mathematics from ETH Zurich. Before joining Verona in 2023, he was an Assistant Professor at the University of Zurich and a member of the Swiss Finance Institute. His research focuses on risk management, financial regulation, decision theory under uncertainty, and actuarial science. Key areas include risk measurement, asset pricing, insurance regulation, and systemic risk. He contributes to top-tier journals in quantitative finance and econometrics. Munari teaches courses on financial mathematics, risk management, and financial modeling at the undergraduate and graduate levels. He is actively involved in departmental governance, serving on committees such as the Public Engagement Committee and the Research Advisory Board. His work integrates theoretical advancements with practical applications in policy and industry.

• Data Security
• Privacy Protection
• Blockchain Security
• +2 more

Elena Ferrari is Professor of Computer Science at the University of Insubria and research leader at STRICT SociaLab, recognized for significant contributions to data security and privacy. She received the 2021 SIGSAC Outstanding Contributions Award for her pioneering work in security technologies. Her research develops privacy-preserving frameworks for emerging technologies including blockchain systems, edge computing environments, human digital twins, and IoT networks. Current projects address malware detection, metadata leakage prevention, decentralized learning security, and privacy-aware access control. Publications demonstrate consistent innovation in security mechanisms for complex systems. Recent work features blockchain-based malware containment, context-aware privacy enforcement, and edge computing security solutions. Ferrari has chaired major security conferences and contributes to advancing privacy-preserving computation. No student advising details or laboratory affiliations are documented in available sources.

Silvia RossiView profile

Associate Professor

• Multi-agent Systems
• Human-Robot Interaction
• Cognitive Architectures
• +5 more

Silvia Rossi is an Associate Professor at the Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Italy. She co-manages the PRISCA Lab focused on Intelligent Robotics and Advanced Cognitive Systems and coordinates the national project UPA4SAR (User-centered Profiling and Adaptation for Socially Assistive Robotics). Her research emphasizes Multi-agent Systems, Human-Robot Interaction, and Cognitive Architectures. She holds an M.Sc. in Physics from the University of Naples Federico II (2001) and a Ph.D. in Information and Communication Technologies from the University of Trento (2006). Professional experience includes roles at the ITC-irst (Italy), Institute of Cybernetics E. Caianiello (CNR, Italy), and visiting research at Oregon Health and Science University (USA). Research interests span socially assistive robotics, user profiling, and emotion recognition. Key contributions include adaptive robot behaviors for healthcare and education, transparent HRI, and multi-agent systems for smart environments. She teaches courses such as Multi-agent Systems, Distributed Intelligence, and Programming I. Her work integrates AI, robotics, and human-centered design to address challenges in assistive technologies and human-robot collaboration. Publications focus on socially assistive robotics, emotion-aware systems, and transparent AI. Projects include field trials of social robots for elderly care and pediatric emotional support. Awards and recognitions are not explicitly listed but reflect her leadership in socially impactful robotics research.

• Mathematical Methods in Economics
• Finance
• Actuarial Sciences
• +5 more

Gianni Bosi is a Full Professor at the Department of Economic, Business, Mathematical and Statistical Sciences (DEAMS Bruno de Finetti) of the University of Trieste. His research focuses on mathematical methods in economics and finance, particularly utility theory, order theory, and multi-utility representations. He has contributed to foundational work on continuous and semicontinuous representations of preorders, topological structures in utility theory, and optimization techniques. Key projects include the FRA 2018 project 'UMMMM' on uncertainly modeling and the 'CLASS4.0' cluster for data-driven solutions in the sea economy sector. His recent publications address advanced topics like ad hoc continuity of interval orders, net-compact topologies, and cinema-based mathematics education. No awards or student advisees are explicitly mentioned.

• Statistics
• Decision Analysis
• Multivariate Analysis
• +3 more

Antonio Lucadamo is an Associate Professor at the Department of Law, Economics, Management and Quantitative Methods (DEMM) of the University of Sannio. His research focuses on statistical modeling, decision analysis, and multivariate methods with applications in diverse fields such as financial markets, cultural festivals, environmental science, and healthcare evaluation. Key Research Areas : Decision theory, ordinal data handling, AHP methodology, environmental quality assessment Recent Collaborations : Pietro Amenta, Ida Camminatiello, Gabriella Marcarelli, and Matteo Rossi Publication Trends : His work spans from foundational statistical techniques (e.g., co-inertia analysis, Taguchi index generalization) to applied studies in financial decision-making, festival loyalty models, and environmental quality assessment. Notable subfields include pairwise comparison matrices, OWA operators, and spectral soil analysis. Contact : antonio.lucadamo@unisannio.it

Roberto MarmoView profile

Professor

• Computer Vision
• Artificial Intelligence
• Social Media Mining
• +4 more

Roberto Marmo is a Professor of Computer Science at the University of Pavia since the 2022/23 academic year. His research spans multiple domains including Artificial Intelligence , Computer Vision , and Social Media Mining . He earned his PhD in Information Engineering at Pavia's Computer Vision and Multimedia Lab after completing a Computer Science degree at the University of Salerno. Core Expertise: Data Science, AI Algorithms, Scientific Visualization Industry Applications: Anti-fraud Systems, Tourism Analytics, Transportation Sign Recognition His academic work demonstrates consistent interdisciplinary innovation: 2020: Encyclopedia contributions on Cybersecurity and Social Engineering 2017: Market analysis through social media mining 2010: Social network architecture research Key collaborations include: IBM's Web 2.0 Security Encyclopedia Italian Tourist Railways Association (application of IT to heritage tourism) Academic-Industry Partnerships in transportation sign recognition His technical contributions include: Neural network applications in geological analysis Operational risk visualization frameworks SOS gesture recognition systems e-learning performance dashboards Available for consulting and training services in AI, data analysis, and scientific visualization.

• Machine Learning
• Recommender Systems
• Social Media Analysis
• +5 more

Prof. Fabio Gasparetti is a tenured Full Professor at the Department of Civil, Computer and Aeronautical Engineering of the University of Rome 3 , Italy. His academic profile spans Machine Learning , Recommender Systems , and Educational Technology , with a strong focus on Cultural Heritage digitization and Social Media analytics. He is affiliated with the university's AI Lab (a website currently under construction). Email: fabio.gasparetti@uniroma3.it Phone: 0657333212 Location: Via Vito Volterra 62, Rome Research Interests revolve around: Contextual Recommender Systems for cultural and educational domains Social Network Mining for community detection and user modeling Machine Learning Applications in aerospace engineering and e-learning Temporal Analysis of MOOC dynamics and behavioral patterns Prerequisite Modeling for educational content sequencing Cultural Ecosystems in digital pandemic contexts Recent Publications (2021-2025) demonstrate interdisciplinary synergy between Computer Science and Humanities domains, particularly in: Machine Learning for aerospace physics Multimodal LLMs in art interpretation Social data-driven cultural personalization Graph-based educational community monitoring Cross-platform museum positioning Migration discourse analysis

Roy CerquetiView profile

Professor

• Quantitative Methods for Economics and Finance
• Data Science
• Complex Networks Analysis
• +5 more

Roy Cerqueti is Full Professor of Statistics at Sapienza University of Rome where he serves as Director of the Doctoral School in Economics and Social Sciences. He is affiliated with the Department of Social and Economic Sciences and maintains a research affiliation with GRANEM at the University of Angers, France. Previously, he held a part-time professorship at London South Bank University, UK. His research focuses on quantitative methods for economics and finance, data science, and complexity theory. His work spans complex networks analysis, statistical modeling, and applications to financial systems, social dynamics, and policy evaluation. Recent publications demonstrate expertise in Benford's Law applications, cryptocurrency market analysis, social media analytics, and systemic risk assessment in financial networks. Cerqueti's publication record shows strong trends in network science applications to economic systems, with increasing focus on sustainability, social media analytics, and financial market stability. His 2024-2025 work integrates advanced statistical techniques including Random Matrix Theory, fuzzy clustering methods, and multilayer network approaches to analyze complex economic phenomena. He has served as a review panel expert for COST Action proposals (2017-2019) under appointment by the Italian Ministry of Education, University and Research. Cerqueti holds multiple editorial positions and regularly serves as referee for scientific journals and institutions. His teaching portfolio includes courses in International Statistics and Quantitative Methods for Economics at the undergraduate level. As Director of the Doctoral School, he oversees advanced research training in Economics and Social Sciences. He has delivered invited seminars and courses at prestigious international universities, demonstrating global academic engagement. Cerqueti leads research projects including "Analysis of rankings and preference data: new methods and applications" and has participated in numerous national and international research initiatives as Principal Investigator. His lab work focuses on network-based approaches to economic and social systems, with particular emphasis on computational methods for complex data analysis.