جستجوی استاد راهنمای دانشگاهی

• Developmental Psychology
• Cognitive Neuroscience
• Educational Assessment
• +۳ مورد دیگر

Enrico Toffalini is an Assistant Professor at the University of Padova's Department of Psychology. His research focuses on intelligence development across the lifespan, neuropsychological assessment, and methodological advancements in psychological research. He emphasizes statistical rigor, particularly in design analysis and power calculations, and has contributed to frameworks like the PECANS statement for cognitive studies. Key research areas include cognitive profiles in neurodevelopmental disorders (e.g., autism, ADHD), learning disabilities, and aging populations. He investigates topics such as emotional false memory, spatial cognition, and the impact of music interventions on cognition. Toffalini has published extensively on methodological challenges like pseudoclustering in statistical analyses and has developed tools like the PRDA R package for design analysis. His work bridges theoretical and applied psychology, with contributions to educational assessment (INVALSI data analysis) and clinical practice (oral language interventions for neurodevelopmental disorders). He advocates for evidence-based practices through systematic reviews and meta-analyses, addressing issues like math anxiety and sleep quality in aging.

MASSIMO GRASSIمشاهده پروفایل

دانشیار

• Auditory Perception
• Psychophysics
• Cognitive Psychology
• +۵ مورد دیگر

Massimo Grassi is an Associate Professor at the Department of General Psychology, University of Padova. His research focuses on auditory and audiovisual perception, psychophysics, and the development of experimental tools like the Psychophysics Toolbox and Psychoacoustics-Web. He emphasizes reproducibility in research through initiatives like the PECANS statement and contributes to open science practices. His work spans cognitive psychology, music cognition, and interdisciplinary projects linking art, technology, and perception. Grassi collaborates on tools for sonification in astronomy and studies the impact of music training on cognitive functions. Key research interests include auditory perception mechanisms, cross-modal correspondences, and the application of psychophysical methods to understand sensory and cognitive processes. He has explored topics such as working memory differences between musicians and non-musicians, the role of emotions in peripersonal space development, and the effectiveness of sonification in education and science communication. Grassi's recent work highlights contributions to open science frameworks, the development of free online research tools, and collaborative projects in music psychology and neuroimaging. He is actively involved in advancing methodological standards in psychological research while maintaining a focus on bridging experimental psychology with technological innovation.

Marco Fumeroمشاهده پروفایل

پژوهشگر ارشد

• Geometric Deep Learning
• Geometry Processing
• Representation Learning
• +۲ مورد دیگر

Marco Fumero is a PostDoctoral Researcher at the Institute of Science and Technology Austria (ISTA), where he conducts foundational research at the intersection of geometry and artificial intelligence. Previously, he completed his Ph.D. in Computer Science at Sapienza University of Rome as a core member of the GLADIA research group under Professor Emanuele Rodolà's supervision, establishing a trajectory bridging theoretical geometry with practical deep learning applications. Ph.D. in Computer Science, Sapienza University of Rome Dr. Fumero's research program centers on exploiting geometric structures to revolutionize artificial intelligence systems, with primary focus on geometric deep learning, geometry processing, and representation learning. He pioneers methodologies for analyzing neural network latent spaces through spectral geometry and dynamical systems theory, developing frameworks that enable cross-model communication and zero-shot transfer. His work systematically addresses challenges in representation alignment, latent space dynamics, and disentangled feature extraction, with direct applications in 3D shape analysis, multimodal learning, and quantum-inspired computing. This research demonstrates exceptional theoretical rigor while maintaining strong connections to real-world problems in computer vision and scientific computing. His publication record reveals a dominant trend toward unifying geometric principles with deep learning architectures, particularly through spectral methods and functional map theory. The 2024-2025 publications showcase a coherent evolution from foundational latent space analysis (e.g., attractor dynamics in autoencoders) to practical frameworks for cross-model communication (e.g., cycle-consistent merging and semantic alignment). Key thematic threads include zero-shot capability development, invariance exploitation, and the translation of classical geometry processing techniques into neural network contexts. These contributions have established new paradigms for latent space manipulation across computer vision, graphics, and multimodal AI. Spotlight presentation at ICLR 2024 for "From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication" Multiple papers accepted at NeurIPS 2024 including "Latent Functional Maps" and "C2M3" During his doctoral training at Sapienza, Dr. Fumero actively mentored junior researchers within the GLADIA group, contributing to the development of next-generation geometric AI specialists through collaborative projects and technical guidance. His research has been supported by institutional funding from Sapienza University and ISTA, with potential backing from European research initiatives targeting foundational AI advances. Current work focuses on scaling geometric deep learning frameworks to complex multimodal scenarios while maintaining theoretical guarantees. Dr. Fumero maintains strong ties to the GLADIA research group at Sapienza University of Rome, which specializes in geometric learning and data analysis. At ISTA, he operates within a highly collaborative interdisciplinary environment that emphasizes theoretical computer science and its applications, contributing to the institute's mission of advancing frontier research through mathematical rigor and computational innovation.

Riccardo Scandariatoمشاهده پروفایل

استاد

• Software Security
• Cybersecurity
• Usable Security
• +۶ مورد دیگر

Riccardo Scandariato is a full professor and head of the Institute of Software Security at Hamburg University of Technology (TUHH), Germany. He coordinates the International Master in Information and Communication Systems and has held academic positions at institutions like the University of Virginia, Politecnico di Torino, KU Leuven, and the University of Gothenburg before joining TUHH in 2020. Education: PhD in Computer Science from Politecnico di Torino (2004). Career highlights include leading interdisciplinary research in software security, vulnerability repair, and AI-driven cybersecurity solutions. Research focuses on secure software design, automated vulnerability repair, and empirical methods for cybersecurity. Key interests include microservices, IoT, and cyber-physical systems, with emphasis on developer-centric security practices and usable privacy features. Notable projects include SEC4AI4Sec (EU Horizon Europe) and KiThreat (CREATUM GmbH), addressing AI-augmented systems and GenAI-based software risks. Former projects include CASUS (automotive security assurance cases) and CyReV (automotive cyber resilience). Research team includes senior researchers and PhD students working on topics like secure code generation (Catherine Tony), vulnerability localization (Cuong Bui Quang), and ML-driven threat analysis (Torge Hinrichs). Alumni have contributed to areas like automotive systems, privacy in smart homes, and architectural threat modeling. Grants: EU-funded AssureMOSS (2020–2023), H2020, and VINNOVA-backed CASUS (2017–2021). Committees: PC member of major conferences like ECSA, ARES, and SANER. Steering committee for ARES. Labs/Teams: Leads the Institute of Software Security at TUHH, focusing on interdisciplinary tools for secure application design. Collaborates with industry partners like Volvo and CREATUM GmbH.

• Spatial Databases
• Geographic Information Systems (GIS)
• Big Data Analytics
• +۶ مورد دیگر

Alberto Belussi is an Associate Professor at the Department of Computer Science within the School of Science and Engineering at the University of Verona. He serves as a member of the PhD Councils, Teaching Boards, and various committees related to academic governance, including roles as Presidente of the University Language Centre's programming and administrative boards. Research Interests: Spatial query processing and optimization in geographical applications Conceptual modeling of spatial databases with emphasis on integrity constraints Machine learning techniques for spatial data Big data analytics with spatio-temporal datasets Development of tools for GeoUML and INSPIRE data specification interoperability Projects: He has led or participated in projects such as INDICE (Digital Innovations for Cultural Industries), Advanced digitization techniques and blockchain for cultural heritage , and Semantic mapping of Italian National Core to EU INSPIRE , among others spanning 2001–2025. Teaching: Belussi teaches courses like Advanced Database Systems, Databases, and Data Management and Machine Intelligence across multiple academic years, including 2025/2026.

• Artificial Intelligence
• Cybersecurity
• Formal Methods
• +۴ مورد دیگر

Matteo Cristani is an Associate Professor at the University of Verona 's Department of Computer Science , where he teaches courses in Artificial Intelligence , Semantic Web , and Programming across multiple degree programs including Bioinformatics, Computer Science, and Artificial Intelligence. His research focuses on Knowledge Representation , NLP , and Formal Security Analysis , with applications spanning from blockchain technology to geospatial systems. Research Focus Intelligent agents and multi-agent systems Distributed artificial intelligence Formal methods in security theory Network security and cybersecurity NLP and large language models Ontology engineering Projects Active in third-mission activities, Cristani leads projects such as SHIELD (Securing Decentralized Finance and Healthcare Systems), SLOTS (Smart Legal Order in Digital Society), and NOMEN (Next-Gen Cyber Ranges). He has participated in 30+ research initiatives since 2001, including PRIN grants and industrial collaborations in semantic web applications.

• Stochastic Analysis
• Probability Theory
• Mathematical Finance
• +۷ مورد دیگر

Luca Di Persio is an Associate Professor in the Department of Computer Science at the University of Verona, specializing in Probability and Mathematical Statistics (MATH-03/B). He serves as a member of the PhD School in Mathematics, jointly organized by the Mathematics Department of the University of Trento and the Computer Science Department of the University of Verona, and coordinates the European mobility program Erasmus+ with universities in Bielefeld, Munich, Oslo, and Wuppertal. His research spans multiple areas at the intersection of stochastic analysis, artificial intelligence, and mathematical finance. Key research interests include: Stochastic Partial Differential Equations (SPDEs) in finite and infinite dimensions Mean Field Games and interacting particle systems Time series analysis and applications to mathematical finance Neural networks and AI applications in finance and energy markets Stochastic data-driven forecasting methods Professor Di Persio leads or participates in numerous research projects, including "NNs-based approaches pro-integration of MFGs and SPDEs techniques for industrial applications" (starting 2025), "Securing Decentralized Finance and Remote Healthcare Systems - SHIELD," and "Study of the integration of stochastic analysis tools with Machine Learning models in Large Language Models." His work bridges theoretical mathematics with practical applications in finance, energy markets, and AI systems. As an educator, he is in charge of the didactic path in Mathematical Finance for the Master's degree in Mathematics and teaches courses including Probability, Stochastic Systems, Stochastic Differential Equations, and Mathematical Finance. He has been consistently teaching these subjects since at least 2011 across multiple academic programs including the Master's degree in Mathematics and Master's degree in Data Science. Professor Di Persio holds several institutional roles including Chair of the Quality Assurance Commission for the Master's degree in Data Science, member of the Computer Science Teaching Committee, member of the Mathematics and Data Science Teaching Committee, and member of the PhD School Board. His office is located at Ca' Vignal 2, Floor 2, Room 10.A, and he can be reached at +39 045 802 7968 or luca.dipersio@univr.it.

• Abstract interpretation
• Security
• Static program analysis
• +۶ مورد دیگر

Isabella Mastroeni serves as an Associate Professor in the Department of Computer Science at the University of Verona, where she holds the position of Professore II fascia in Informatics (INFO-01/A). She is actively involved in research and teaching within the university's Science and Engineering Area, with her office located in Ca' Vignal 2, Floor 1, Room 88. Her research focuses on two primary areas: abstract interpretation and security. Within abstract interpretation, she studies programming language semantics and static analysis techniques, including for dynamic programming languages. Her security research spans language-based security with emphasis on non-interference models, malware detection through code similarity analysis, code protection via obfuscation techniques, and analysis of security properties to prevent code injection attacks. She publishes in top international venues including programming language conferences (POPL, ESOP, SAS, PEPM), security journals (TOPS, JCS), and formal computer science publications (FACJ, TCS, MSCS). Professor Mastroeni serves as a member of the SPY (Formal Methods) Laboratory and has led numerous research projects, including recent initiatives such as Learning Safe Behaviours for human-robot cooperation (BEHAVE), Securing sOftware Platforms, and Novel Methodologies and Tools for Next Generation Cyber Ranges (NOMEN). Her current research interests are categorized under ERC sectors PE6_5 (Security, privacy, cryptology), PE6_3 (Software engineering, programming languages), and PE6_4 (Theoretical computer science, formal methods). She holds significant administrative responsibilities including Chair of the Commissione AQ Laurea triennale in Informatica, Quality Assurance Representative for the Computer Science degree program, and membership on multiple governing bodies including the Faculty Board of PhD in Computer Science and the Computer Science Teaching Committee. Professor Mastroeni teaches across multiple programs including Educational Technology Laboratory for Primary Teacher Education, Foundations of Computing, Programming Languages, and Software Analysis for Computer Science bachelor's and master's degrees. Her teaching spans from foundational courses to advanced specialized topics reflecting her research expertise.

• Russian Literature
• Slavic Studies
• Digital Humanities
• +۵ مورد دیگر

Manuel Boschiero is an Associate Professor at the Department of Foreign Languages and Literatures, University of Verona. His academic work spans Russian literature, digital humanities, and inclusive teaching methodologies. Academic Sector: SLAV-01/A - Slavic Studies Research Areas: 20th-Century Russian Literature, Gulag and Holocaust Literature, Digital Approaches to Literary Studies He leads research initiatives focused on accessibility in foreign language education, including the GIAM project (2022) for inclusive Russian and English teaching models. His work also explores cultural exchange between Italy and Russia in early 20th-century literary contexts. Current research projects include: DAIDH 2024: Diversity, Accessibility, and Inclusion in Digital Text and Cultural Heritage Verso una Glottodidattica Inclusiva: Accessible Russian Language Teaching (2022-2024) Strange Opinions?: Nabokov's Lessons (2021)

• Educational Linguistics
• Second Language Acquisition
• Language Processing
• +۳ مورد دیگر

Sabrina Piccinin-Dep is a Temporary Assistant Professor at the University of Verona's Department of Foreign Languages and Literatures. She holds a PhD in Literary, Philological, and Linguistic Studies from the University of Verona and a PhD in Language Sciences from Toulouse II University, France. Her research focuses on second language acquisition (particularly Italian L2), morphological complexity processing, reading comprehension, and literacy development in adult learners. She is actively involved in interdisciplinary research groups like GIAM, which develops inclusive language teaching models, and has contributed to projects such as E-FraLit and MORPHOTEXT. She teaches courses in language teaching, translation theory, and language learning at both undergraduate and graduate levels. Her professional roles include serving on the PhD Board for Foreign Literatures and Languages, the Department's Research Commission, and as chair of the Scientific Committee for the Inclusive Glottodidactics Master's program. She is also a member of the Department's Governance bodies, contributing to strategic planning and internationalization initiatives. Her work emphasizes the integration of technology in education and accessibility in language learning. Key research themes include language learning strategies, digital tools for inclusive education, and sociolinguistic aspects of language education. Her teaching and research address both theoretical and practical dimensions of language instruction, with a focus on fostering equitable educational participation.

• International Business & Export Management
• Business-to-Business Marketing & Branding
• Hospitality & Tourism Management
• +۳ مورد دیگر

Fabio Cassia is an Associate Professor of Management at the University of Verona, Department of Management. He holds a Ph.D. in Marketing for Business Strategies from the University of Bergamo (2007). His research focuses on international business strategies, B2B branding, tourism management, and PLS-SEM methodologies. He has received multiple awards as an author and reviewer. Cassia teaches courses in international management, marketing, and strategic management across various programs, including Master’s and Bachelor’s degrees. He actively participates in research groups addressing topics like digital transformation for SMEs in Verona, tourism destination planning, and service quality in water utilities. He also serves on multiple academic committees, including the Teaching Committee for Foreign Languages and Literatures and the Departmental Research Committee. Education: Ph.D. in Marketing for Business Strategies (University of Bergamo, 2007). Research interests include international business development, B2B branding strategies, and tourism marketing innovation. He has contributed to projects such as analyzing the economic impact of cultural events like Tocatì and assessing customer satisfaction in B2B relationships. His work often employs quantitative methods, particularly PLS-SEM. Awards: Several honors for academic contributions, though specific titles are not detailed in the text. Teaching & Advising: Instructs modules in international management, marketing planning, and strategic management applied to international markets. Advises students in the Management and Business Strategy program (e.g., LM38). Labs/Teams: Engaged with research centers like the LOOP Research Center (Circular Economy & Sustainability) and the Laboratorio sulle metodologie di ricerca aziendale.

• Bioinformatics
• Computational Biology
• Graph Algorithms for Biological Networks
• +۷ مورد دیگر

Rosalba Giugno is a Full Professor of Informatics at the University of Verona's Department of Computer Science. She serves as Principal Investigator of the InfOmics Laboratory and is the reference person for the Master in Medical Bioinformatics program. Previously, from 2017 to 2022, she directed the Infolife laboratory, which comprised 35 research groups from various Italian universities. Her research focuses on algorithmic bioinformatics and computational biology, specifically developing graph algorithms for biological networks, integrating and analyzing biomolecular data, and modeling biological systems for personalized medicine. She leads a research group consisting of 5 PhD students and multiple master's thesis students. Her work bridges theoretical computer science with practical biomedical applications, utilizing approaches from machine learning, data science, mathematics, and graph theory. Professor Giugno has authored 130 scientific publications, with 70 appearing in international journals. Her recent work shows a strong trend toward applying advanced computational methods to solve complex problems in personalized medicine, particularly in patient stratification using multi-omics data, drug repurposing, and combination therapy prediction. She has secured funding for numerous national and European research projects, with recent initiatives focusing on multi-drug resistance in rheumatoid arthritis and personalized prostate cancer evaluation. She serves as an editor for the journal Information Systems and participates in scientific committees for international conferences and schools. Her leadership extends to university governance through roles on the Computer Science Teaching Committee and Department Council. Professor Giugno teaches courses in the Master's program in Medical Bioinformatics and the PhD program in Computer Science, including 'Analisi di dati Multi-omics da single-cell' and 'Programming for bioinformatics.' She has consistently taught these courses from 2016 through 2025, demonstrating commitment to training the next generation of bioinformatics specialists. The InfOmics Laboratory under her direction develops computational methods for biomedical data analysis, with applications spanning genomics, patient classification, and therapeutic optimization. The lab maintains strong connections with both academic and industrial partners through collaborative research projects.

Olivia Guaraldoمشاهده پروفایل

استاد

• Political Philosophy
• Modern and Contemporary Political Thought
• Feminist Political Theory
• +۵ مورد دیگر

Olivia Guaraldo is a Full Professor of Political Philosophy at the Department of Human Sciences, University of Verona, where she has taught continuously since at least 2003. She serves as Director of the Hannah Arendt Center for Political Studies and is a member of the University of Verona's Committee for Equal Opportunities (CUG). Her research focuses on modern and contemporary political thought with particular emphasis on Hannah Arendt's political theory, feminist political philosophy, sexual difference theory, and vulnerability studies. Professor Guaraldo has edited and introduced Italian translations of Judith Butler's works including Precarious Life and Undoing Gender , and has published extensively on political subjectivity through the lens of vulnerability and care. Analysis of her recent publications reveals a consistent trajectory exploring the intersection of political philosophy with feminist theory and vulnerability studies. Her work demonstrates particular interest in rethinking democratic participation through Arendtian concepts like 'Public Happiness' while addressing contemporary challenges of political subjectivity in relation to vulnerability and care ethics. This research has evolved from earlier work on sexual difference theory to more recent explorations of institutional models and legal concepts in transformation. Professor Guaraldo teaches across multiple degree programs including Philosophy, Emergency Governance, Publishing and Journalism, Communication Studies, and Strategic Studies for Security and International Policies. Her courses cover Political Philosophy, Political Theory, Media Culture and Society, and specialized seminars on Arendtian thought. She actively engages with public issues through conferences on women's equality, violence prevention, and political participation, extending her academic work into practical social contexts. Her leadership of the Hannah Arendt Center provides research opportunities for students interested in contemporary political philosophy and democratic theory.

• Temporal Data Mining
• Biomedical Decision Support Systems
• Temporal Logics
• +۵ مورد دیگر

Pietro Sala is an Associate Professor at the University of Verona , Department of Computer Science. His research intersects Temporal Data Mining , Biomedical Decision Support Systems , and Formal Verification of temporal logic specifications. Key Research Areas: Interval Temporal Logic and Model Checking Temporal BPMN for healthcare processes Data fusion in clinical environments Algorithm design for repetitive task automation Notable Projects: Dioxin impact analysis on cardiovascular development Open-source clinical data warehousing (DW-SAN) Real-time system verification frameworks Teaching: Lecturer for Biomedical Decision Support Systems (Master's) Instructor for Data Mining and Software Engineering courses The articles highlight his work in temporal logic verification (2025), clinical process modeling (2024-2025), and data integration for NLP pipelines (2023). His publications span theoretical computer science conferences (LICS, ICALP) and healthcare informatics journals (ICHI, CBM).

• Behavioral Economics
• Computational Economics
• Artificial Intelligence
• +۷ مورد دیگر

Ernesto D'Avanzo is an Associate Professor at the University of Trento's Department of Economics and Management. He holds a PhD in Information and Communication Technology from the University of Trento and a Laurea Degree in Philosophy from the University of Salerno. His academic career includes roles as an Assistant Professor at the University of Salerno and research positions at institutions like the High Performance Computing and Networking Institute (ICAR) - CNR and the University of Haifa. He is an associate researcher in multiple groups including the Economic Development and Social Sustainability (EDASS) research group at the University of A Coruña. His research focuses on decision models leveraging artificial intelligence (e.g., machine learning, natural language processing) and multivariate analysis (e.g., factor analysis, Bayesian models). Key areas include data-driven decision making in business strategies, sustainable management, and ethical governance. He has contributed to projects like Y Media Analytica, an AI-driven analytics startup. His articles explore topics like ethical decision-making frameworks, AI applications in healthcare and marketing, and structural equation modeling for corruption analysis. He has received the 2018 Emerald Literati Award and holds editorial roles in journals like Sustainability and International Journal on Semantic Web and Information Systems .