جست‌وجوی استاد و پژوهشگر

Maikel Lázaro PÉREZ GORTمشاهده پروفایل

پژوهشگر

• Computer Science
• Data Security
• Database Systems
• +۳ مورد دیگر

Maikel Lázaro PÉREZ GORT is a Researcher at the Department of Environmental Sciences, Computer Science and Statistics (DAIS) at Ca' Foscari University of Venice. He is affiliated with the Research Institute for Complexity Communications and teaches advanced courses on relational data watermarking in doctoral programs. His primary research focuses on database security, specifically developing robust watermarking techniques for relational data integrity protection against attacks in untrusted environments. Teaching Activities: Doctoral Course (DM226/2021): 'Relational Data Watermarking: Fundamentals' and 'Robust Schemes' Past courses include 'Programming and Laboratory-2' for undergraduate Computer Science students and 'Lab of Human-Centered Design' for Digital Management programs. Research Interests: His work addresses challenges in data watermarking resilience, including topology optimization for watermark sources, query impact analysis, and prevention of additive attacks. Recent efforts emphasize earth observation data integrity and quantile-based distortion minimization techniques. Publications: Over 13 peer-reviewed articles from 2017-2025, focusing on watermarking methodologies for relational databases, earth observation systems, and forensic image analysis. Key themes include brute-force attack resilience, semantic-driven marking, and high-quality key generation schemes. Awards/Grants: No specific awards or grants mentioned in the provided materials. Labs/Teams: Affiliated with the DAIS department's research groups working on information systems security and complexity science.

Rocco Tripodiمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Machine Learning
• Lexical Semantics
• +۳ مورد دیگر

Rocco Tripodi is a Researcher at Ca' Foscari University of Venice's Department of Environmental Sciences, Computer Science and Statistics. He holds a Ph.D. in Computer Science (2015) from the same institution, focusing on game-theoretic models for Natural Language Processing (NLP). His roles include teaching courses such as Deep Learning for NLP, Introduction to Coding, and Database Systems. He has also served as an Assistant Professor at the University of Bologna (2021–2024) and collaborated with labs like Sapienza NLP and the European Centre for Living Technology (ECLT). His research spans NLP, machine learning, and computational linguistics, with a focus on lexical semantics, game theory applications, and ethical AI. Research Interests : His work addresses challenges in lexical semantics, including word sense disambiguation, semantic role labeling, and cross-lingual NLP. He explores game-theoretic frameworks for text analysis and develops tools for cultural heritage (e.g., historical text analysis). Recent projects include evaluating large language models (e.g., ChatGPT), detecting sensitive data in text, and tracing historical biases through diachronic embeddings. Publications : Tripodi's research trends focus on NLP fairness, multilingual models, and historical discourse analysis. Notable contributions include frameworks for abuse detection evaluation (AAA), multilingual semantic role labeling (UniteD-SRL), and diachronic analysis of antisemitic language in 19th-century French texts. His work bridges technical NLP advancements with societal impact, such as ethical AI and cultural heritage preservation. Labs & Collaborations : Active in interdisciplinary projects like ODYCCEUS and Polifonia, he collaborates with institutions to apply NLP to social sciences and humanities. His labs emphasize practical applications, such as transforming text into knowledge graphs (Text2AMR2FRED) and analyzing historical textiles using spectroscopic methods.

Fabio Persiaمشاهده پروفایل

دانشیار

• Complex Event Processing
• Event Detection
• Analysis in Large Scale Databases
• +۴ مورد دیگر

Fabio Persia is an Associate Professor at the Department of Information Engineering, Computer Science and Mathematics (DISIM) of the University of L'Aquila , Italy. Previously, he held positions as Tenure-Track Assistant Professor (RTD/B) and Assistant Professor (RTD/A) at the same department and the Free University of Bozen-Bolzano , respectively. He earned his MSc and PhD in Computer Engineering from the University of Naples Federico II (2009 and 2013), with a six-month visiting scholar stint at the University of Maryland, College Park (2012). Education : MSc, PhD in Computer Engineering (University of Naples Federico II, 2009/2013) Visiting Scholar (University of Maryland, 2012) His research focuses on event detection and analysis in large-scale databases , applied to multimedia, semantic analysis, and security . This spans video surveillance systems, social network analysis, and probabilistic itinerary planning. He co-developed ISEQL (Interval-based Surveillance Event Query Language) with advanced temporal operators and efficient algorithms for interval joins, extending its use to social networks and PostgreSQL integration. Notable collaborations include work with Prof. Sven Helmer and Dr. Paolo Bolzoni. Recent research trends include robotic platforms for dynamic surveillance (SARRI robot), multi-camera configurations , and social sensing for tourist applications . He has secured over €45,000 in research funding and published in top venues like IEEE TKDE, VLDBJ, IJCAI, and IEEE ICSC.

• Social Network Analysis
• Graph Mining
• Community Detection
• +۳ مورد دیگر

Pasquale De Meo is an Associate Professor in the Department of Information Processing Systems at the University of Messina, where he also serves as Coordinator of the Master's Degree Course in Methods and Languages of Journalism. Previously, he was a Tenured Researcher at the same university from 2011 to 2015. He received his PhD in Computer Science from the University of Calabria in 2006 and his VO Degree in Electronic Engineering (magna cum laude) from the University of Reggio Calabria in 2002. His academic journey includes prestigious fellowships such as the Marie Curie Fellowship at VU University Amsterdam (2010-2011) and roles as External Member at Birbeck Institute for Data Analytics since 2017. Dr. De Meo specializes in Social Network Analysis, Graph Mining, Community Detection, and Network Centrality. His research spans multiple domains including social media analysis, criminal network analysis (as evidenced by Salvo Catanese's PhD thesis on "The Network Structure of Mafia Syndicates"), and data science applications. He has published extensively in top-tier venues with an H-Index of 35 on Google Scholar and 29 on Scopus. His recent publications demonstrate strong interdisciplinary connections between computer science, social sciences, and practical applications, covering advanced techniques for educational technology, fraud detection, knowledge graphs, and social influence modeling. Best Italian doctoral thesis in Artificial Intelligence (AI*IA, 2006) Marie Curie Fellowship (2009-2010) Multiple best paper awards at international conferences Dr. De Meo has supervised several graduate students and serves on program committees for major conferences including ACM SIGKDD and IJCAI. His research is supported by significant grants including an ARC Discovery Project on "Dynamics and Control of Complex Social Networks" and a Microsoft Azure Research Grant for community detection in directed graphs.

Antonietta Lanzaمشاهده پروفایل

استادیار

• Man-Machine Interaction
• Machine Learning
• Knowledge Acquisition
• +۴ مورد دیگر

Antonietta Lanza is an Assistant Professor of Computer Science at the Department of Informatics, University of Bari, Italy. She earned her degree in Information Science from the same university in 1978 and has been a faculty member since 1984. Her research spans man-machine interaction, machine learning, and knowledge acquisition with applications in technical document processing and geospatial data interpretation. Education : Degree in Information Science (University of Bari, 1978) Affiliations : Department of Informatics, University of Bari Her research focuses on integrating machine learning with geospatial analysis, particularly for wind speed forecasting, topographic map interpretation, and cadastral data processing. She has developed algorithms for spatio-temporal modeling and spatial clustering of structured data. Recent publications primarily address wind power prediction, spatio-temporal lazy learning, and cluster-based time series modeling. Applications span renewable energy, environmental planning, and maritime AIS data analysis. She actively contributes to academic associations AI*IA (Italian Association for Artificial Intelligence) IAPR-IC (International Association of Pattern Recognition - Italian Chapter) and has created software like PS_package , a tool for line-drawing segmentation.

Micillo Luigiمشاهده پروفایل

پژوهشگر

• Time Perception
• Psychological Arousal
• Physiological Arousal
• +۳ مورد دیگر

Micillo Luigi is a researcher affiliated with the Department of General Psychology at the University of Padua, contributing to the Doctoral Course in Psychological Sciences. His work focuses on time perception, particularly investigating how psychological and physiological arousal influences temporal experiences through methods like eye-tracking, virtual reality (VR), and physiological measures (heart rate, skin conductance). He has published extensively on topics including pandemic impacts on mental health, cross-cultural studies of time perspective, and age-related differences in perception. His research employs interdisciplinary approaches, combining experimental psychology with neuroscience techniques. Key contributions include developing the Blursday database to study subjective temporalities during the pandemic and analyzing emotional stimuli effects on temporal judgment. Conference presentations highlight his exploration of natural environment exposure’s effects on time perception via VR and physiological arousal’s role in temporal distortions. No academic awards are explicitly listed. His advising and grants activities are not detailed in the provided information. Micillo collaborates in labs focused on psychological time and perception, with active participation in international conferences such as the Timing Research Forum and the Experimental Section of the Italian Association of Psychology.

Marco Schaerfمشاهده پروفایل

استاد

• Artificial Intelligence
• Nonmonotonic Reasoning
• Computational Complexity
• +۶ مورد دیگر

Marco Schaerf is a Full Professor at Sapienza University of Rome, Department of Computer, Control, and Management Engineering. He previously held roles as Associate Professor at the University of Cagliari (1992–1994) and Sapienza (1994–2000). He chairs the Engineering Information Area in Latina and serves on the editorial boards of Artificial Intelligence Journal and Journal of Artificial Intelligence Research . His research focuses on artificial intelligence, nonmonotonic reasoning, computational complexity, digital libraries, and bibliometrics. Notably, he received the 1997 AI*IA Award for Best Young Researcher in AI. Key projects include coordinating the European MAGICSTER project, FIRB 2001 ASTRO, and COFIN grants (2002/2004). He led Sapienza’s participation in Italy’s VQR research assessment program and contributed to digital library systems like the Sapienza Digital Library. His work bridges AI with cultural heritage, including AI-driven visitor experience analysis in museums. Research interests span AI applications, knowledge representation, and computational methods in cultural heritage. He has published over 60 papers in top journals, with recent work on scientometrics, anomaly detection in infrastructure, and weakly supervised semantic segmentation. His contributions to AI theory, robotics, and bibliometric analysis underscore his interdisciplinary impact.

Sabrina Lo Bruttoمشاهده پروفایل

دانشیار

• Marine Biology
• Zoology
• Biodiversity
• +۷ مورد دیگر

Sabrina Lo Brutto serves as an Associate Professor in Earth and Marine Sciences at the University of Palermo. She maintains regular office hours on Mondays from 9:00 to 13:00 and can be contacted via email for appointments. Her academic work spans multiple degree programs including Biodiversity and Technological Innovation, Tourism Territories and Businesses, and Biological Sciences. Her research interests focus on marine biodiversity, amphipod crustaceans, Mediterranean ecosystems, and museum collections. She has made significant contributions to understanding species distribution patterns, bioinvasions in the Mediterranean, and the role of natural history museums in biodiversity research. Her work often bridges traditional taxonomic approaches with modern molecular techniques to address conservation challenges. Analysis of her recent publications reveals a strong focus on Mediterranean marine biodiversity, particularly amphipod crustaceans and invasive species. Her work spans from taxonomic descriptions of new species records to broader biodiversity assessments and conservation applications. She frequently examines how geographical features like the Sicilian Channel influence species distribution and genetic diversity. Her research increasingly integrates museum collections as historical baselines for monitoring ecological changes. Sabrina actively contributes to museum collections through specimen recovery, curation, and documentation projects, particularly at the Museum of Zoology 'Pietro Doderlein' at the University of Palermo. Her teaching portfolio includes Animal Biology, Responsible Tourism, and Marine Zoology courses, indicating a commitment to both specialized scientific training and broader environmental education.

Michela Quadriniمشاهده پروفایل

استادیار

• Bioinformatics
• Computational Biology
• RNA Secondary Structures
• +۳ مورد دیگر

Michela Quadrini is an Assistant Professor at the University of Camerino with expertise spanning Bioinformatics , Computational Biology , and Graph Neural Networks . Her academic work focuses on RNA structure analysis, human activity recognition, and formal methods for collective adaptive systems. Research Interests include: RNA pseudoknots comparison and classification Machine learning applications in biomedical signal processing Spatial logics for complex system modeling Protein-protein interaction site prediction Ontology-based frameworks for activity recognition Publications demonstrate methodological innovation across: RNA structure alignment and translation tools (TARNAS) Graph neural network programming languages (μG) Stress detection from wearable sensor data Formal verification of collective systems Immunoinformatics feature engineering Technical Expertise combines computational biology with advanced machine learning techniques, evidenced by contributions to: Topological data analysis for RNA structures Convolutional neural network architectures Semantic ontologies in mechatronic systems Integral equation numerical methods

Nikhil Jhaمشاهده پروفایل

پژوهشگر ارشد

• Privacy
• Cybersecurity
• Data Mining
• +۳ مورد دیگر

Nikhil Jha is a Research Fellow at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN), focusing on web privacy, data anonymization, and cybersecurity. He earned his PhD in 2024 with a dissertation titled Privacy on the Web: Algorithms, Tools and Measurements . Teaching collaborations in Data Protection, Privacy and Anonymity , Interdisciplinary Projects , and Internet Performance and Troubleshooting Lab courses Member of the DBDM - Database and Data Mining Group His research investigates privacy risks in web technologies, including re-identification attacks on browser APIs, anonymization techniques like z-anonymity, and user behavior with privacy banners. His work spans both theoretical and applied dimensions of web security. Recent publications analyze the robustness of Topics API, practical data stream anonymization, and the evolution of privacy policies. His interdisciplinary approach combines technical cybersecurity research with insights into user interactions and policy compliance. Co-authored publications at major conferences including The Web Conference, ACM Transactions on the Web, and Privacy Enhancing Technologies Symposium At Politecnico di Torino, Jha contributes to teaching in cybersecurity and interdisciplinary projects. He also pursues creative writing through a Master Daimon in Narrative Techniques (Scuola Holden, 2025) and holds Italian journalism credentials since 2018.

• Temporal Data Mining
• Data Mining
• Database Systems
• +۳ مورد دیگر

Beatrice Amico-Dep is an Assistant Professor at the Department of Computer Science, University of Verona. Her research focuses on Temporal Data Mining, specifically techniques involving approximate functional dependencies in temporal data. She is actively involved in academic governance, serving as a member of the Computer Science Department Council and the Information Engineering Teaching Committee. Teaching responsibilities include modules such as Databases (Computer Science), Databases and WEB (Bioinformatics), and Medical Informatics (Human Centered Medical System Engineering). She also contributes to the Documental Information Technology (I) course in Communication Studies. Committees: Valuation of tutoring grants for Applied Mathematics courses, Spin-off Commission, and Paritarian Commission between Faculty and Students. Administration: Department office coordination, IT support for Science and Engineering, and course administration for Science/Engineering students. Her professional activities include advising on third mission initiatives (Continuing Education and Public Engagement), though specific grants or lab affiliations are not explicitly detailed in the records.

• 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.

• Temporal Reasoning
• Artificial Intelligence
• Temporal Constraint Networks
• +۴ مورد دیگر

Roberto Posenato is a current Associate Professor in the Department of Computer Science at the University of Verona. His academic sector is INFO-01/A - Informatics, with research classified under ERC PE6_6 (Algorithms, Distributed/Parallel Algorithms) and PE6_7 (Artificial Intelligence). Office: Ca' Vignal 2, Floor 1, Room 1.84 Research Interests Temporal Reasoning with constraint networks BPMN Systems in Medicine Temporal Constraint Modeling for Healthcare Processes Algorithm Design & Computational Complexity Data Management Systems Teaching Activities Algorithms (12 credits, 2025/2026) Temporal Reasoning (6 credits, 2025/2026) Web Applications (6 credits, multiple academic years) Database & WEB courses (6-12 credits) Software Engineering (1-6 credits) Research Groups Algorithms group (focus on algorithm design, data structures, computational complexity, machine learning) Databases and Information Systems INdAM Research Unit at University of Verona

• Operations Research
• Decision Support Systems
• Optimization Algorithms
• +۵ مورد دیگر

Daniele Pretolani is an Associate Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. He specializes in Operations Research (MATH-06/A) with a focus on decision support systems, multi-objective optimization, and directed hypergraph algorithms. Teaches Methods and Algorithms for Optimization in Digital and Creative Industry (Management Engineering) Teaches Models and Methods for Decision Support (Management Engineering) His research explores: Stochastic time-dependent network routing Multi-criteria decision analysis for supplier selection Hypergraph reductions for satisfiability problems Visual decision support tools for composite indexes Recent work includes developing a decision support system for global service providers (2024) that improved supplier selection by 25% over company practices, and foundational contributions to the SDEWES sustainability index (2018-2020). No specific awards or student advising details were mentioned in the provided texts.