جستجوی استاد راهنمای دانشگاهی

Giuseppe Santucciمشاهده پروفایل

دانشیار

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

Giuseppe Santucci is an Associate Professor at the Department of Computer, Control and Management Engineering Antonio Ruberti at Sapienza University of Rome. He teaches courses on Fundamentals of Computer Science, Software Engineering, and Visual Analytics. His office is located in Room B218 at Via Ariosto 25, Rome, and his contact email is santucci@diag.uniroma1.it. Dr. Santucci's research focuses on Visual Analytics, Information Visualization, Human-Computer Interaction, and Information Retrieval. His work spans theoretical aspects of visual query languages for semantic models to practical applications in visual analytics for cybersecurity, cryptocurrencies, and deep learning explainability. He has published over 130 articles in international journals and conferences, demonstrating his significant contributions to these fields. His recent publications show a strong trend toward applying visual analytics to increasingly complex domains including cybersecurity, cryptocurrencies, and explainable AI. The work demonstrates an evolution from theoretical foundations of visual query systems to practical applications that help users understand complex data and systems. His research bridges the gap between theoretical computer science and practical user-centered solutions. Dr. Santucci has received notable recognition including: IEEE VizSec 2018 Best Paper Award Human-Computer Interaction Cybersecurity Awards 2018 He actively mentors students through thesis projects focused on information visualization and visual analytics. His PROMISE project provides a framework for students to engage in cutting-edge research in information retrieval and visual analytics. He has supervised work on topics including visual evaluation techniques, visual mappings optimization, and user studies for Infovis systems. Dr. Santucci leads the A.WA.RE (Advanced Visualization & Visual Analytics REsearch) group at Sapienza University. This group conducts research on visual analytics tools for information retrieval evaluation, cybersecurity analysis, and deep learning explainability. Their work includes developing frameworks like CryptoComparator for cryptocurrency analysis and BUCEPHALUS for cybersecurity platform analysis.

Gabriella Casalinoمشاهده پروفایل

استادیار

• Computational Intelligence
• eHealth
• Data Stream Mining
• +۵ مورد دیگر

Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.

• Machine Learning
• Data Mining
• Bioinformatics
• +۱۱ مورد دیگر

Andrea Passerini is a Full Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy, where he also serves as Coordinator of the PhD programme in Information Engineering and Computer Science (Ministerial Decree 45/2013). His academic footprint spans multiple departments including Mathematics, Sociology, Cellular Biology, and Industrial Engineering, reflecting deep interdisciplinary engagement across computational sciences and life sciences. His research centers on Machine Learning and Data Mining with specialized expertise in Neuro-Symbolic AI , Probabilistic Reasoning , and Statistical Relational Learning . He pioneers methods for graph-based learning, medical AI applications, and explainable systems, with significant contributions to bioinformatics (particularly RNA-protein interactions) and healthcare diagnostics. His work bridges theoretical rigor with practical implementations in critical domains. Analysis of his 2025 publications reveals dominant trends in neuro-symbolic integration for graph data, human-AI collaboration in medical decision-making, and robust recommender systems. His research increasingly focuses on interpretable AI for high-stakes applications like surgical planning and physician support, while advancing foundational techniques in graph neural networks and concept-based modeling. As PhD programme Coordinator, Professor Passerini mentors doctoral candidates across AI and computer science disciplines. His collaborative network extends to medical researchers at CIBIO (Cellular, Computational and Integrative Biology department) and industrial partners, though specific lab structures aren't documented in available materials. Current projects emphasize medical AI validation, temporal network modeling, and LLM integration with structured reasoning frameworks.

Federico Becattiniمشاهده پروفایل

استادیار

• Computer Vision
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Federico Becattini is a Tenure-Track Assistant Professor at the Department of Information Engineering and Mathematics (DIISM), University of Siena, Italy. He is an active member of the Siena Artificial Intelligence Lab (SAILab), where he contributes to cutting-edge research in computer vision, deep learning, and artificial intelligence. His work spans multiple interdisciplinary domains, including autonomous driving, human behavior understanding, cultural heritage, neuromorphic vision, and fashion recommendation. His research interests center on memory-based neural networks , which he has applied in numerous publications at top-tier venues such as CVPR, ECCV, IEEE TPAMI, and ACM TOMM. He has also delivered tutorials on this topic at international conferences including ICIAP 2022 and ACM MM 2022, and taught a Ph.D. course at the University of Florence. His recent work is aligned with the Collectionless AI paradigm, which emphasizes continual learning and interaction with dynamic environments. The recent publications highlight a strong trend in human-centric AI , focusing on understanding people through multimodal analysis of face, body, and clothing, as well as generating 3D virtual avatars. There is also a clear emphasis on memory-augmented architectures for temporal reasoning, explainability, and adaptive learning. His editorial role as Associate Editor of the International Journal of Multimedia Information Retrieval further underscores his standing in the research community. Associate Editor, International Journal of Multimedia Information Retrieval (IJMIR) Organizer, Workshop on Facial and Body Expressions (ICPR2020) Co-organizer, T-CAP Workshop (ICIAP2021, ICPR2022) Co-organizer, MCFR Workshop (ACM MM 2022) Co-organizer, WCPA Workshop and Challenge (ECCV 2022) Federico Becattini actively advises students and researchers within SAILab, particularly in the context of Ph.D. theses and research projects related to Collectionless AI and memory-based models. While specific grants are not mentioned, his extensive publication record and leadership in workshops and editorial roles suggest involvement in funded research initiatives. He collaborates with both academic and international research communities, serving as a reviewer for top-tier conferences and journals. He is a core member of the SAILab research group, which is pioneering the Collectionless AI initiative—a framework for continual learning over time, interacting with humans and agents without relying on pre-built static datasets. This lab serves as a hub for innovation in adaptive and sustainable AI systems.

Enrico Franconiمشاهده پروفایل

استاد

• Knowledge Representation
• Artificial Intelligence
• Semantic Technologies
• +۶ مورد دیگر

Enrico Franconi is a tenured full Professor in the Faculty of Engineering at the Free University of Bozen-Bolzano, Italy. He is the founder and director of the KRDB Research Centre for Knowledge-based Artificial Intelligence, established in 2002. His research focuses on applying database, AI, and semantic technologies to address challenges in information systems design, data integration, and big data analysis. He holds leadership roles including former Vice-Rector for Research (2005-2006) and director of the European Masters Program in Computational Logic (2004-2019). His academic contributions span Description Logics, knowledge representation, and ontology engineering, with a strong emphasis on theoretical foundations and practical applications. He has led numerous EU-funded projects, including ONTORULE and SeWAsIE, and contributed to international conferences as a program committee member and keynote speaker. His work bridges theory and practice, aiming to translate foundational results into real-world solutions. He is a prolific author with an h-index of 42 and has mentored researchers in areas like semantic web technologies and conceptual modeling. Key achievements include advancing ontology-driven data integration, developing tools like ICOM for conceptual modeling, and contributing to standards for semantic web languages. He is affiliated with the Computational Logic community and actively participates in international research networks such as CAIRNE. His research has been recognized through ANVUR evaluations ranking his department among Italy’s top computer science faculties.

Raffaella Bernardiمشاهده پروفایل

دانشیار

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +۶ مورد دیگر

Raffaella Bernardi is an Associate Professor at the University of Trento, affiliated with the Department of Information Engineering and Computer Science (DISI) and the Center for Mind/Brain Science (CIMeC). She holds a PhD in Logic and Language from Utrecht University (2002) and has held academic positions at the Free University of Bozen-Bolzano and the University of Trento. Her research focuses on computational linguistics, formal semantics, distributional semantics, and multimodal models, with a particular emphasis on integrating vision and language systems. Education: PhD in Logic and Type Theory (2002, Utrecht University), Master's in Philosophy (1994, University of Chieti), and High School Diploma (1990). Research Interests: Natural Language Processing, Categorial Type Logic, Compositional Distributional Semantics, Visual Dialogues, and Multimodal Reasoning. She has pioneered work on grounding language in visual contexts and has contributed to key projects like the ERC-funded COMPOSES initiative. Grants & Leadership: Principal Investigator on EU projects (e.g., CACAO, Galateas) and member of the ERC COMPOSES team. She chairs conferences like ACL and EMNLP and serves on editorial boards for journals like the Journal of Logic, Language, and Information. Labs: Leads the LaVi (Language and Vision) research group and collaborates with the CLIC Lab. Active in organizing workshops on Formal Grammar and Vision-Language Integration.

• Clinical Psychology
• Psychosomatics
• Psychotherapy
• +۳ مورد دیگر

Jenny Guidi, Ph.D. , is an Associate Professor of Clinical Psychology at the Department of Psychology 'Renzo Canestrari' within the University of Bologna . She is also a certified Psychosomatic Specialist (ICPM) and a certified Well-Being Therapy Specialist and Trainer (AWBT). Her academic journey includes a laurea with laude in Psychology (2002), a 4-year Health Psychology specialization at the University of Bologna, and a Ph.D. in Clinical Psychology from the same institution in 2011. Current affiliation: University of Bologna (Department of Psychology 'Renzo Canestrari') Previous roles: Research Associate at Massachusetts General Hospital – Harvard Medical School (2016–present, Honorary Consultant) Certifications: Psychosomatic Specialist (ICPM), Well-Being Therapy Specialist and Trainer (AWBT) Her research focuses on clinical psychology , psychosomatics , and psychopharmacology , with a particular emphasis on treatment resistance in depression, euthymia, allostatic overload, and the integration of pharmacotherapy with psychotherapy. Guidi has authored/co-authored over 80 articles in high-impact journals and maintains an h-index of 36 (Scopus). Key publications explore clinimetric tools, stress-related hormonal responses, and behavioral toxicity in psychiatric treatments. Recent articles highlight: Transdiagnostic applications of euthymia and mental pain Comparative analyses of benzodiazepine efficacy Psychosomatic links in endocrine and cardiovascular disorders Methodological advancements in psychotherapy trials Notable contributions include validating the Italian version of the Exercise Dependence Questionnaire and examining hyperandrogenic states in adolescents. She has received no explicitly listed awards but has been recognized through her role as an Honorary Consultant at Harvard-affiliated institutions. Contact: Institutional email: jenny.guidi2@unibo.it Personal email: jguidi@libero.it Office hours: Mondays and Wednesdays after classes (2024/2025 academic year) at Viale Europa 115, Cesena

• Visual Perception
• Cognitive Psychology
• Multisensory Integration
• +۳ مورد دیگر

Carlo Fantoni is a researcher at the Department of Life Sciences, University of Trieste, focusing on visual perception, cognitive psychology, and multisensory integration. His work spans developmental psychology, human factors, and computational modeling, with a particular emphasis on how visual and cross-modal cues influence perception and decision-making. His research trends include studies on visual perception (e.g., amodal completion, 3D surface orientation), developmental psychology (e.g., age correction in preterm infants), and human factors (e.g., acoustic comfort in ship cabins, BUS design framework). He has developed advanced tools like the Active Multisensory Perception tool (AMPt) for immersive studies in ergonomics.

Laura Pollacciمشاهده پروفایل

پژوهشگر ارشد

• Social Network Analysis
• Visual Analytics
• Human Migration
• +۵ مورد دیگر

Laura Pollacci is a postdoctoral researcher at the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group of the Information Science and Technology Institute of the National Research Council (CNR) in Pisa and the University of Pisa, where she holds a position as Research Fellow in the Department of Computer Science. Her educational background includes: Bachelor's Degree in Digital Humanities (2014) from University of Pisa with 110/110 cum laude Master's Degree in Digital Humanities (2015) from University of Pisa with 110/110 cum laude PhD in Computer Science (2019) from University of Pisa with thesis on 'conjunct usage of Big Data and Sentiment Analysis for the study of Human Migration' Pollacci's research focuses on Social Network Analysis and Visual Analytics for Social Mining, Human Migration, and Sentiment Analysis. Her work bridges computational methods with social science questions, particularly examining how digital traces can reveal patterns in human behavior, migration, and emotional expression across social platforms. She has developed expertise in analyzing complex social networks, music diversity, and political polarization through data-driven approaches. Her publication record shows a clear trajectory from computational linguistics and sentiment analysis toward broader applications in social network analysis, migration studies, and musicology. Early work focused on emotive lexicon development and sentiment polarity classification for Italian language, while more recent publications examine political polarization on Reddit, human migration patterns through big data, and the fractal dimensions of music diversity. Pollacci is actively involved with the HumMingBird project, which focuses on 'Enhanced migration measures from a multidimensional perspective.' Her work at KDDLab places her at the intersection of data science and social research, contributing to the laboratory's mission of developing theory, techniques and systems for extracting knowledge from large data sets.

Lucia Scaffardiمشاهده پروفایل

استاد

• Comparative Constitutional Law
• Public Law
• Human Rights
• +۷ مورد دیگر

Lucia Scaffardi is a Full Professor of Comparative Public Law at the University of Parma's Department of Law, Political and International Studies. She teaches Italian and Comparative Constitutional Law in the Political Science and International Relations program and Comparative Public Law in the Jurisprudence program. As Coordinator of the BRICS Parma Research Group and member of the Teaching Board for the Doctorate in Legal Sciences (University of Parma and University of Modena and Reggio Emilia), she maintains significant academic leadership roles. Her educational background includes a degree with honors from the University of Genoa and a PhD in Constitutional Law from the University of Bologna (1996). This strong foundation has supported her extensive research career spanning constitutional systems, human rights, and emerging legal challenges. Professor Scaffardi's research interests demonstrate remarkable breadth and relevance to contemporary challenges. Her work on genetic databases for judicial purposes bridges bioethics and criminal procedure, while her investigations into Novel Food regulation address cutting-edge food technology challenges. Her pioneering research on BRICS legal networks has established her as a leading scholar in South-South legal cooperation. She also maintains strong expertise in federal systems, fundamental rights protection, and European constitutional law. Her publication trajectory reveals a strategic evolution from traditional constitutional scholarship toward interdisciplinary work addressing emerging technologies and global governance challenges. Recent publications (2023-2025) focus on cell-based meat regulation, AI and data protection, environmental constitutionalism, and food security - demonstrating her ability to anticipate and address legal challenges at the forefront of societal development. Professor Scaffardi has directed significant research projects, including the national-level study "Legal Transplants and Parliaments: A Possible Dialogue Among Legislators," which resulted in influential publications on comparative law in legislative drafting. Her international research fellowships at Oxford, Coimbra, King's College London, and the American University of Washington highlight her global academic engagement. As Coordinator of the BRICS Parma Research Group, she leads an active research team investigating legal cooperation among emerging economies. Her work bridges academic scholarship and practical policy development through previous advisory roles with the Italian government's Unit for Simplification and Regulatory Quality and the National Committee for Biosafety, Biotechnology and Life Sciences.

• Social Psychology
• Organizational Psychology
• Service Psychology
• +۳ مورد دیگر

Giuseppe Pantaleo is a Full Professor of Social Psychology at Università Vita Salute San Raffaele (UniSR) since 2016. He has been actively involved in teaching courses such as Medicine as a Human Endeavor and Public Health across various degree programs including Psychology, Medicine, and Global Health. As an academic leader, he has served as President of the Degree Course in Psychological Sciences and Techniques and the Ordering Committee for Political Sciences at UniSR. Education : Degree in Psychology (University of Padova, 1991); Post-graduate grant at University of Muenster (1993-94); PhD in Social Psychology (University of Bielefeld, 1997). Research interests span cognitive, motivational, and emotional social psychology , with specific focus on terror management theory , expectancy violation in relationships , and theoretical model-building . His work often intersects with organizational psychology and social cognition . Scientific contributions include over 190 publications, with recent work analyzing social dynamics under ecological threats , masking effects on attraction , and theoretical blindspots in psychology . He has held editorial roles as Associate Editor of Motivation and Emotion and on committees for Psychology , European Journal of Social Psychology , and other journals. Awards include the 1998 DISSERTATIONSPREIS from Westfälisch-Lippische Universitaetsgesellschaft 2011 Premio Nazionale 'STUDI COGNITIVI' Leadership extends to roles in doctoral colleges, editorial boards (e.g., Motivation Science , Social Psychology ), and national research evaluation committees. His collaborations span institutions in Germany, Italy, and Switzerland.

FRANCO SCARSELLIمشاهده پروفایل

استاد

• Graph Neural Networks
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

FRANCO SCARSELLI is a Full Professor at the University of Siena, affiliated with the Department of Information Engineering and Mathematical Sciences. His primary research focuses on Graph Neural Networks (GNNs), machine learning applications in IoT, blockchain, bioinformatics, and medical imaging. He has contributed extensively to the theoretical foundations of GNNs, including their expressive power and VC dimensions. His teaching roles include courses on Advanced Machine Learning for the Master's program in Artificial Intelligence and Automation Engineering, as well as Information Systems for undergraduate Management Engineering students. He has been actively involved in curriculum development since at least 2021/2022. Research highlights include interdisciplinary work on agrifood supply chain traceability using IoT and blockchain, molecular property prediction with GNNs, and semantic analysis of diffusion models. Key collaborations involve institutions like the University of Siena and industry partners in smart logistics and healthcare. His publications span over two decades, with recent contributions emphasizing the theoretical underpinnings of GNN architectures and their applications in dynamic graphs, medical diagnostics, and industrial fault detection. He has also pioneered open-source tools like GNNKeras for graph neural network implementations.

• Specialized Languages
• Legal Discourse
• Business Communication
• +۵ مورد دیگر

Cécile Desoutter is an Associate Professor of French Language at the University of Bergamo's Department of Foreign Languages, Literatures and Cultures, where she conducts research at the intersection of specialized languages, written communication, and multilingual contexts. Her work examines linguistic practices in legal, institutional, and business settings through cross-linguistic (French-Italian) and pedagogical lenses. Her primary research interests include: Specialized languages in legal, administrative, and business discourse Written communication in digital contexts (ICT, linguistic landscapes) Relationships to foreign language writing in professional and educational settings French language use in multilingual environments (language choice, code-switching, linguistic rights) Analysis of her 15 most recent publications (2016-2020) reveals consistent focus on discourse analysis across legal, environmental, and social domains, with growing emphasis on digital communication trends, emotional expression in judicial contexts, and multilingual signage in urban spaces. Her work bridges theoretical linguistics with practical applications in language education and cross-cultural communication. Professor Desoutter actively participates in international academic collaboration, evidenced by co-edited volumes and multi-country comparative studies examining poverty discourse across France, Ireland, and Italy, as well as linguistic landscapes in European Chinatowns. Her research demonstrates strong interdisciplinary connections between sociolinguistics, legal studies, and environmental communication.

• Disordered Systems
• Field Theory
• Critical Phenomena
• +۸ مورد دیگر

Andrea De Martino is an Associate Professor at the Department of Applied Science and Technology (DISAT) , Polytechnic University of Turin , and a member of the SmartData@PoliTO Big Data and Data Science Laboratory. He works at the physics-biology interface , focusing on disordered systems, statistical mechanics, theoretical biology, and interdisciplinary applications. Scientific Branch: PHYS-02/A - Theoretical Physics of Fundamental Interactions, Models, Mathematical Methods ERC Skills: PE1_21 (Mathematics in Sciences), PE2_18 (Statistical Mechanics), PE3_16 (Physics of Biological Systems), PE3_15 (Statistical Physics and Complex Systems) Research Interests include disordered systems, critical phenomena, equilibrium/non-equilibrium statistical mechanics, theoretical biology (information processing, population dynamics, ecosystems), and interdisciplinary applications at the physics-biology interface. His work explores collective behavior, heterogeneity-fitness relationships, and metabolic strategies under environmental variability. Articles Trends reflect expertise in statistical mechanics applied to biological systems, with focus areas spanning RNA networks , microbial metabolism , phenotypic heterogeneity , gene regulation , and multi-cellular coordination . Recent publications address out-of-equilibrium dynamics in ceRNA systems, metabolic diversity analysis, and growth rate optimization in fluctuating environments. Research Projects include SIMBAD (2023-2027) - a Marie Skłodowska-Curie Action on statistical inference for multiscale biological data. He participates in EU-funded research under Horizon Europe , focusing on MSCA Excellent Science initiatives. Teaching encompasses Physics I/II and Electromagnetism modules for Computer, Aerospace, and Automotive Engineering programs. He serves on doctoral colleges for Physics PhD programs at both Polytechnic University of Turin (2014-2025) and Sapienza University of Rome (2014-2016). Laboratories include the Statistical Physics and Interdisciplinary Applications (DISAT) research group and affiliation with the Condensed Matter Physics and Complex Systems Institute (DISAT) at Polytechnic University of Turin.

• Constitutional Law
• Digital Rights and Internet Regulation
• Freedom of Expression
• +۴ مورد دیگر

Maria Esmeralda Bucalo serves as Associate Professor of Jurisprudence (GIUR-05/A) at the Department of Law, Università degli Studi di Palermo. Her office is located at Via Maqueda, 172 - 2nd floor - room no. 59, with regular Friday office hours from 9:00 to 11:00 by reservation. She actively coordinates academic activities including study visits to London for Master's Degree in Law students. Professor Bucalo's research focuses on constitutional law, digital rights, and bioethics. Her recent scholarship examines constitutional reform of Articles 9 and 41, AI/deepfakes regulation, freedom of expression in digital spaces, euthanasia jurisprudence (particularly the Mortier v. Belgium case), and soft law governance. Her work demonstrates strong engagement with European Court of Human Rights jurisprudence and comparative analysis of Italian and international legal frameworks. Analysis of her 15 most recent publications reveals three dominant research threads: (1) Constitutional evolution in digital contexts (60% of works), particularly addressing AI regulation and platform governance; (2) End-of-life legislation and bioethics (25%), with emphasis on European human rights standards; (3) Historical analysis of constitutional gender equality provisions (15%). Her scholarship consistently bridges doctrinal analysis with contemporary social challenges, showing particular expertise in reconciling traditional constitutional principles with emerging technological realities. Professor Bucalo actively supervises student activities including study abroad programs and coordinates remedial classes in Constitutional Law and Fundamental Freedoms for the Corporate Legal Consultant Degree Program. Her teaching schedule reflects regular engagement with both undergraduate and graduate law students at UniPa.