Find Academic Supervisors

• Corpus Linguistics
• Computer-Assisted Discourse Analysis
• Rhetoric and Metaphor-Based Argumentation
• +7 more

Michela Tonti is a researcher specializing in French linguistics at the University of Bergamo, with extensive expertise in corpus linguistics, computer-assisted discourse analysis, and legal terminology. Her academic journey includes a PhD in Translation, Interpreting, and Intercultural Studies from the University of Bologna (2019), where she focused on brand names in everyday discourse. Her research interests span multiple interconnected domains including corpus linguistics, computer-assisted discourse analysis, rhetoric and metaphor-based argumentation, referential semantics, commercial onomastics, and terminology studies with particular emphasis on neonymy in European law, accounting, and gender equality. Since 2020, she has expanded her work into neural translation through significant European projects. Tonti's publication record demonstrates consistent evolution from traditional linguistic analysis toward cutting-edge AI applications in language processing. Her recent work (2023-2025) shows increasing focus on the intersection of artificial intelligence and inclusive language practices, particularly examining how systems like ChatGPT handle intralingual translation for gender-inclusive writing and legal terminology standardization across European languages. Winner of the 2019 SUSLLF prize for her monograph 'Le nom de marque dans le discours au quotidien: prisme lexiculturall et linguistique' Recipient of research funding through European and national projects focusing on multilingual AI systems As project coordinator for the Italian and French language groups of the Empowering Multilingual Inclusive Communication (E-MIMIC) initiative, Tonti leads cross-institutional collaboration between the University of Bergamo, University of Bologna, and Polytechnic University of Turin. Her work bridges theoretical linguistics with practical AI applications, particularly in developing expert-annotated datasets for inclusive communication systems. She maintains active research partnerships with multiple Italian universities through the PRIN 2022 project framework.

Alberto GrecoView profile

Research Fellow

• Bioengineering
• Robotics
• Biomedical Signal Processing
• +7 more

Alberto Greco, Ph.D., is a Research Fellow in Bioengineering at the Department of Information Engineering, Faculty of Engineering, University of Pisa, Italy. He obtained his Laurea (2010) and Ph.D. (2015) in Biomedical Engineering and Automatics/Bioengineering from the University of Pisa, with a Visiting Fellowship at the University of Essex (2014). His work integrates biomedical signal processing , machine learning , and physiological modeling with applications in wearable monitoring systems and eye-tracking . Education Biomedical Engineering, University of Pisa (2010) Ph.D. in Automatics, Robotics, and Bioengineering, University of Pisa (2015) Visiting Fellow, University of Essex, UK (2014) His research focuses on autonomic nervous system assessment , central nervous system modeling , and affective computing , particularly through projects like cvxEDA —a convex optimization framework for electrodermal activity processing. He contributes to European research projects and develops smart wearable platforms for physiological data collection. Key application areas include consciousness disorders , mood assessment , and human-robot interaction . His technical expertise spans Bayesian statistics , sparsity-based signal modeling , and multimodal physiological analysis . He is affiliated with the Neuro-Cardiovascular Intelligence Lab and contributes to the TOLIFE project, ComEDA stress assessment tool, and ThermICA thermal response analysis system. His work bridges bioengineering , robotics , and social-emotional interaction domains.

• Fire Safety Engineering
• Human Behavior in Emergencies
• Universal Design
• +11 more

Roberto Vancetti is a Tenured Assistant Professor at the Department of Structural, Building and Geotechnical Engineering (DISEG), Polytechnic University of Turin, where he is affiliated with the College of Civil and Building Engineering. He is actively involved in teaching and research, with a focus on fire safety engineering and human behavior in emergencies. His work integrates advanced technologies such as Virtual Reality, BIM, and CFD to improve building safety and emergency preparedness. His research interests include: Fire safety engineering and performance-based design Human behavior modeling during emergencies Virtual and Augmented Reality applications for evacuation training BIM-Fire Safety Engineering interoperability CFD analysis of facade fires Evaluation of emergency signage and escape routes His recent publications (2022–2024) reflect a strong trend toward integrating behavioral modeling with computational simulations, particularly in school environments and building facades. The works emphasize validation through full-scale testing and the use of immersive technologies to enhance safety training and evacuation planning. He has led multiple research projects funded by commercial contracts and collaborations with fire departments, serving as Scientific Director or Manager. These projects include fire risk analysis, VR applications in fire safety, and facade fire safety assessments using CFD. Roberto Vancetti teaches in the Master's Degree in Building Engineering, offering courses such as: Fire Safety Engineering (FSE) Fire Safety Prevention Internship and Professional Training Integral Design for Building Resilience He has also been a member of the doctoral college for the PhD program in Technological Innovation for the Built Environment since 2008, supervising and guiding doctoral candidates. His research contributes to UN Sustainable Development Goals 3 (Good Health and Well-being) and 11 (Sustainable Cities and Communities). He is actively engaged in research labs and teams focused on fire safety, human behavior simulation, and digital tools for architecture and engineering, though specific lab names are not provided in the text.

• Machine Learning
• Electronic Design Automation
• Reliability Engineering
• +7 more

Nicolò Bellarmino is a Researcher at the Department of Control and Computer Science (DAUIN), Politecnico di Torino, where he also serves as an External Lecturer and Teaching Assistant. His work is centered on machine learning applications in electronic design automation, particularly in microcontroller performance screening and reliability assessment of deep learning hardware. His research interests include machine learning for embedded systems, feature selection, neural network testing, and reliability engineering. He employs techniques such as evolutionary algorithms, transfer learning, and fault injection to develop efficient and robust methodologies for semiconductor testing and DNN accelerator validation. The recent publications highlight a strong focus on data-efficient and automated approaches for performance prediction and reliability assessment, leveraging foundation models, unsupervised learning, and hierarchical modeling. These works span journals and top-tier conferences in computer-aided design, electronics, and machine learning. He has no listed scientific awards in the provided text. Bellarmino actively contributes to teaching in the Computer Engineering and Aerospace Engineering programs, collaborating on courses such as Systems Programming, System and Device Programming, and Future of Work. He is a member of the CAD - Electronic CAD & Reliability Group (DAUIN), contributing to cutting-edge research in EDA and hardware reliability. No grants or advising roles are mentioned.

Luis Alberto Barron CedenoView profile

Associate Professor

• Natural Language Processing
• Information Retrieval
• Machine Learning
• +7 more

Luis Alberto Barron Cedeno is an Associate Professor at the Department of Interpretation and Translation, University of Bologna since 2022, where he previously served as Senior Assistant Professor from 2019-2022. He holds a PhD in Computer Science from Universitat Politècnica de València (2012) and has worked at Qatar Computing Research Institute (2014-2019) and TALP Research Center (ERCIM fellowship, 2012-2014). PhD: Universitat Politècnica de València (2012) MSc: AI (Universitat Politècnica de València, 2009) MSc: Computing Science (UNAM, 2007) BEng: Computing (UNAM, 2004) His research focuses on NLP applications for analyzing text qualities like originality (plagiarism detection) and intent (hate speech, propaganda). Recent work includes persuasion techniques in spam emails , misogyny detection using argumentation theory, and Spanish language varieties analysis. He has published over 100 papers with 20+ in top-tier conferences. Key awards include SemEval 2020 Best Task for propaganda detection and ACL 2020 Best Demo . He serves as Specialty Chief Editor for Frontiers in Artificial Intelligence (NLP) since 2023. His students include PhD candidates Arianna Muti (misogyny detection), Katerina Korre (hate speech), and Paolo Gajo (inceldom analysis). 2020: SemEval Best Task 2020: ACL Best Demo 2012: PhD International Mention 2009: Best MSc Thesis 2007: MSc Cum Laude 2004: BEng Cum Laude He organizes the annual CheckThat! lab at CLEF since 2018 and chaired CLEF 2022. His teaching includes NLP courses, computational linguistics, and game localization for translation students.

Debora NozzaView profile

Assistant Professor

• Natural Language Processing
• Hate Speech Detection
• Algorithmic Bias
• +6 more

Debora Nozza is an Assistant Professor in Computing Sciences at Bocconi University, where she leads research at the intersection of Natural Language Processing, ethics, and social impact. Her work focuses on detecting and countering hate speech, understanding algorithmic bias, and examining how people use large language models in everyday contexts. Education: PhD in Computer Science, 2018, University of Milano Bicocca Dr. Nozza's research centers on ethical challenges in Natural Language Processing, with particular emphasis on hate speech detection across multilingual contexts and bias mitigation in language technologies. Her work bridges technical NLP methods with social science perspectives, examining how language models interact with societal structures and cultural contexts. She has made significant contributions to understanding gender bias in machine translation and developing methods for more equitable language technologies. Her recent publications reveal a strong focus on practical applications of NLP for social good, with an increasing emphasis on evaluating and mitigating bias in multimodal systems and large language models. Her research spans technical methodology development, dataset creation for under-resourced languages, and critical analysis of evaluation metrics in bias research. Scientific Awards: €1.5 million ERC Starting Grant (2023) for research on personalized and subjective approaches to Natural Language Processing €120,000 grant from Fondazione Cariplo for the MONICA project on monitoring Italian measures in response to COVID-19 Dr. Nozza actively contributes to the NLP community through her leadership in the MilaNLP group. She has secured significant research funding that supports multiple researchers working on NLP for social impact. Her work has practical implications for social media platforms, policymakers, and organizations developing language technologies. She co-leads the MilaNLP research group at Bocconi University, which focuses on Natural Language Processing with social impact. The group has been active in major NLP conferences, organizing workshops on online abuse and gender bias, and contributing to shared tasks that advance the field's understanding of hate speech and bias in multilingual contexts.

• Corpus-Assisted Discourse Analysis
• Legal and Political Communication
• Discursive Construction of Gender
• +3 more

Garofalo Giovanni is Full Professor of Spanish Language and Translation at the Department of Foreign Languages, Literatures, and Cultures at the University of Bergamo. He joined the department in 2004 as Assistant Professor, became Associate Professor in 2014, and was promoted to Full Professor in 2020. His career includes affiliations with the Center for Research on Specialized Languages (CERLIS), Asociación de Lingüística del Discurso, AISPI (Associazione Hispanicisti Italiani), and AELINCO (Asociación Española de Lingüística de Corpus). His research focuses on Corpus-Assisted Discourse Analysis (CADS) Legal and Political Communication Discursive Construction of Gender in Spanish Legal Terminology and Lexicography Biomedical Discourse in Multicultural Contexts Prof. Garofalo's recent publications analyze textual complexity in legal corpora, hate speech in social media, and diachronic evolution of constitutional language, with methodological contributions to corpus linguistics. He has authored monographs on Spanish legal communication in criminal law and legislative language, including Géneros discursivos de la justicia penal and La Ley Orgánica 4/2000 de Extranjería . His academic leadership includes memberships in international research associations and collaborations with Spanish universities. He supervises advanced courses in Spanish linguistics and translation at the University of Bergamo, emphasizing corpus-based methodologies and specialized language analysis.

Carlo Rasmus SchwarzView profile

Assistant Professor

• Applied Microeconometrics
• Political Economy
• Media Economics
• +1 more

Carlo Rasmus Schwarz is an Assistant Professor in the Department of Economics at Bocconi University. He holds a PhD in Economics from the University of Warwick and teaches courses including AI Methods for Economic Research and Advanced Econometrics. PhD in Economics, University of Warwick Dr. Schwarz's research focuses on applied microeconomics with particular emphasis on policy-relevant questions. His work uniquely combines causal inference strategies with text analysis, machine learning, and data science techniques to address pressing societal issues. He is particularly interested in how digital platforms shape political behavior and social dynamics. His publication portfolio reveals a strong trend toward investigating the societal impacts of social media, with increasing focus on hate speech, political polarization, and electoral outcomes. The research demonstrates methodological innovation through the development of specialized Stata commands for text analysis, bridging computational linguistics and traditional economic inquiry. Dr. Schwarz actively contributes to advancing methodological approaches in economics through his software development work, creating tools that enable more sophisticated text-based economic research. He maintains an active research agenda exploring the complex relationship between digital communication platforms and real-world socioeconomic phenomena, with recent work examining how online discourse translates to offline behaviors including hate crimes and voting patterns.

VERONICA MUFFATOView profile

Assistant Professor

• Spatial Cognition
• Environmental Psychology
• Cognitive Aging
• +4 more

Veronica Muffato is an Assistant Professor at the University of Padova, conducting research in spatial cognition, navigation, and individual differences. Her work explores how environmental interaction, technology use (e.g., GPS), and psychological factors influence spatial abilities across genders and age groups. She investigates topics such as pro-environmental behaviors linked to exploration tendencies, the impact of aging on cognitive navigation skills, and the emotional dimensions of spatial learning. Her research integrates environmental psychology, cognitive science, and gender studies to understand spatial decision-making and environmental perception. Key themes include: the role of visuospatial working memory in environmental knowledge acquisition, gender differences in wayfinding strategies, and the relationship between technology dependency (GPS) and spatial self-efficacy. She also examines how personality traits and emotional states correlate with injury-related behaviors and active aging outcomes. Her work spans both theoretical contributions (e.g., developing self-report measures for GPS use) and applied insights (e.g., implications for urban design and aging populations). Despite prolific publication output, no specific awards or grants are explicitly mentioned in available texts.

• Bilingualism
• Learning Disorders
• Cognitive Processes
• +7 more

Paola Bonifacci is an Associate Professor at the Department of Psychology 'Renzo Canestrari' of the Università di Bologna. Her academic discipline is General Psychology (PSIC-01/A), with a focus on bilingualism, learning disorders, and cognitive processes. Teaching: Courses include Cognitive Assessment in Multicultural Contexts, Learning Disorder Assessment, and Practicum Training Research Interests: Bilingualism, literacy/numeracy development, socioeconomic status effects, mind wandering, and heritage language maintenance Dissertations: Topics involve bilingualism and learning, mind wandering, dyslexia, and language disorders Her recent publications (2025-2023) emphasize bilingual educational outcomes, cross-linguistic comparisons, and the impact of digital vs. printed media on comprehension. Studies also investigate home/school environmental factors, cognitive predictors of literacy/numeracy, and mind wandering in dyslexia.

• Software Engineering
• Gamification
• Empirical Software Engineering
• +11 more

Riccardo Coppola is a tenure-track Assistant Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, Italy. He is affiliated with the College of Management and Production Engineering and the College of Computer, Film, and Mechatronics Engineering. His research and teaching focus on software engineering, gamification, empirical methods, and the integration of artificial intelligence in software development. Education: While formal education details are not explicitly mentioned in the provided text, his academic position and research supervision imply a doctoral degree in a relevant field, likely in Computer Science or Software Engineering. Research Interests: Riccardo's research spans several cutting-edge areas in software engineering and computer science. He investigates gamification in software testing and education, aiming to improve engagement and effectiveness. He explores the application of large language models and AI in software modeling and development, particularly in UML and requirements engineering. His work also addresses accessibility in software development , empirical software engineering , and ethical concerns in AI , such as gender stereotypes in language models. His scientific disciplinary sector is IINF-05/A - Information Processing Systems. Publication Trends: His recent publications (2023–2025) demonstrate a strong focus on the intersection of gamification and software engineering education, particularly using UML and BPMN. There is a growing emphasis on leveraging large language models for automated modeling tasks and analyzing their societal impact. His work is predominantly empirical, involving experimental studies, tool development, and longitudinal analyses, published in top software engineering venues. Scientific Awards: No specific awards or fellowships are mentioned in the provided text. Advising and Grants: Riccardo actively supervises three PhD students: Anna Arnaudo (on AI and software engineering), Lorenzo Laudadio (on gamified end-to-end testing), and Giacomo Garaccione (on gamification and automated techniques). He is a member of the SOFTENG research group and involved in competitive research projects like ASSISTANTS (funded by PNRR Mission 4). He also leads several commercial research and training projects, including the Software Testing Academy and courses on C++ and Python, serving as the Scientific Manager. Labs and Teams: He is a core member of the SOFTENG - Software Engineering Group (DAUIN) at Politecnico di Torino, which focuses on empirical and innovative approaches to software development, testing, and education.

• Wearable Technologies
• IoT in Healthcare
• Biomedical Signal Processing
• +5 more

Veronica Mattioli is a Researcher in the Department of Engineering and Architecture at the University of Parma, actively contributing to interdisciplinary research at the intersection of engineering and human health. She teaches Multimedia Technologies in the Computer, Electronic and Communications Engineering undergraduate program, demonstrating strong engagement in both education and applied research. Her research focuses on developing and evaluating technological systems for health monitoring, particularly using wearable devices and IoT platforms. Key areas include driver stress assessment , cardiac autonomic response analysis , and physical activity tracking via smartwatches . Her work leverages real-world data collection and signal processing techniques to understand human physiological responses in natural environments. The recent publications (2023–2025) reflect a consistent trend in applying engineering solutions to healthcare and transportation safety challenges. Her studies often involve longitudinal experiments and multi-sensor integration, emphasizing practical deployment and validation of monitoring systems in real-life scenarios such as car driving and sports performance. While no formal scientific awards are listed in the provided text, her active publication record indicates strong scholarly contributions. She collaborates extensively with researchers including Luca Davoli, Laura Belli, Riccardo Raheli, and Gianluigi Ferrari, suggesting participation in a well-established research team focused on biomedical and IoT applications. She advises no students listed in the text, and no information about grants or specific laboratories is provided. However, her involvement in multi-partner projects like DistriMuse implies participation in collaborative, possibly EU-funded or industry-linked initiatives. Her email for professional contact is veronica.mattioli@unipr.it .

• Database Systems
• Data Mining
• Natural Language Processing
• +2 more

Alessandro Fiori serves as an External Lecturer and Teaching Assistant at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN), affiliated with the College of Computer, Film, and Mechatronics Engineering. His instructional responsibilities span database systems, data science, and data visualization courses across undergraduate and graduate programs. His research focuses on: Database system design and optimization Natural language processing for structured data Data mining techniques for complex datasets Multimodal data representation Automated content generation pipelines As a member of the Database and Data Mining Group (DBDM), he contributes to projects involving data modeling tools and NLP-driven data transformation. Recent publications (2023-2025) demonstrate a strong focus on applying natural language processing to database systems, including LLMs for schema interpretation, automated documentation generation from structured data, and multimedia content synthesis. His earlier work includes clustering algorithms for transportation data analysis.

• Latin Literature
• Classical Philology
• Late Antique Poetry
• +4 more

Luca Mondin is a Full Professor of Latin Language and Literature at the Department of Humanities, Ca' Foscari University of Venice, since December 2019. He previously served as Associate Professor (2001-2019) and Assistant Professor (1994-2001) at the same university. His editorial roles include co-director of the journal Incontri di Filologia Classica and membership on the editorial boards of LEXIS and Studi di filologia classica . Degree in Literature, Ca' Foscari University of Venice (1985) PhD in Greek and Latin Philology and Literature, University of Turin (IV cycle, 1988-1991) His research focuses on Latin literature from archaic to late antique periods, classical philology, textual criticism, and the digitization of Latin poetry. Key research lines include: intertextuality in classical literature, epistolography of the humanistic and Renaissance ages, transmission of knowledge in Latin culture, and computational metrics of Latin verse. Recent publications analyze late antique authors like Ausonius, Claudian, and Martial, exploring their literary adaptations and reception. He leads the PRIN 2022 project LaLaLexiT. Late Latin Lexicon in Transition (MUR-funded) and has participated in multiple PRIN projects since 1999. He has taught courses on Latin literature, history of the Latin language, and specialized modules across master's and bachelor's programs in Ancient Sciences, Letters, and History over the past five academic years. Co-director of the biennial round table The Pen of Memory (University of Trieste) Collaborator in the digital Latin text processing initiative Pedecerto.eu

Agnese MACCHIARELLIView profile

Lecturer

• Medieval Studies
• Digital Humanities
• Romance Philology
• +4 more

Agnese Macchiarelli is a Contract Lecturer at Ca' Foscari University of Venice's Department of Humanities. Her academic work bridges medieval studies and digital humanities, with a focus on textual criticism, manuscript studies, and the digital preservation of historical texts. She maintains office hours during lecture periods and coordinates via email. Education: PhD in Italian Studies, Ca' Foscari University of Venice (2017-2021) Master's in Italian Studies and Linguistic Sciences, University of Bologna (2013-2015) Bachelor's in Italian Studies, Sapienza University of Rome (2009-2013) Classical High School Diploma, Santa Teresa di Gesù, Rome (2003-2008) Research Focus: Macchiarelli specializes in medieval Italian literature, Dominican theological texts, and digital scholarly editing. Her work frequently examines 14th-century authors like Iacopo Passavanti and Dante, employing both traditional philological methods and digital tools like treebanking and text encoding. She maintains particular expertise in the digital representation of sacred historical texts. Professional Activities: Scientific Fellow at Bergische Universität Wuppertal and VeDPH (2023-2026) for the DFG/FWF project History as a Visual Concept: Peter of Poitiers' Compendium Historiae Research Grant: Legacy of Thomas Aquinas Treebank Project (2021-2022) Teaching Assistant in Medieval/Romance Philology (since 2021) Affiliated with Venice Centre for Digital and Public Humanities (VeDPH) since 2021 Research stay at École des Hautes Études en Sciences Sociales, Paris (2019-2020)