Find Academic Supervisors

• Contrastive Linguistics
• Language for Specific Purposes
• Translation Studies
• +5 more

Alessandra Lombardi serves as Associate Professor of German Language and Translation at the Faculty of Linguistic Sciences and Foreign Literatures, Catholic University of the Sacred Heart (Brescia campus). She teaches German Linguistics (Bachelor's degree), Communicative and Negotiation Strategies of the German Language (Master's degree), and the Lexicography and Computers module within the Humanities Computing course. Her research centers on contrastive linguistics (Italian-German), Language for Specific Purposes (LSP) in legal and tourism contexts, corpus-based terminology, and lexical semantics—particularly collocations and neologisms in contemporary Italian and German. She employs corpus linguistics methodologies to analyze specialized communication across academic, legal, and tourism domains, with emphasis on terminological precision and cross-cultural translation challenges. Publications reveal consistent focus on legal linguistics (cybercrime definitions, criminal law terminology) and tourism discourse (historical/comparative analysis of Lake Garda marketing). Her work bridges theoretical linguistics with practical applications in translation pedagogy and multilingual database development, notably through the TouriTerm project for tourism text production. Lombardi coordinates German Language Expert Collaborators at Brescia since 2006-2007 and participates in the Doctoral School in Linguistic and Literary Sciences. She maintains active membership in the Italian Association of German Studies (AIG), contributing to scholarly discourse on German-Italian linguistic interfaces.

Paolo CALVETTIView profile

Professor

• Japanese Language History
• Sociolinguistics
• Language Standardization
• +5 more

Paolo Calvetti is a Full Professor of Japanese Linguistics and History of the Japanese Language at the Department of Asian and North African Studies, Ca' Foscari University of Venice. His research focuses on the diachronic evolution of Japanese, including modernization, language standardization, sociolinguistic phenomena like impoliteness strategies, honorific systems, and euphemisms. He has authored/co-authored major works such as Storia della lingua giapponese , a seminal text on Japanese language history. His studies also encompass bilingual lexicography, notably contributions to Japanese-Italian dictionary projects. Calvetti holds a scientific sector (SSD) in Japanese and Korean languages and literatures (ASIA-01/G). Research interests include East Asian linguistic contexts, the impact of technology on language (e.g., mobile phone novels), and historical language policies in Meiji-era Japan. He has published extensively on topics like orthographic evolution, dialectology, and language education strategies. His work bridges historical analysis with contemporary sociolinguistic dynamics, emphasizing Japan's linguistic identity formation. Key areas: Language History, Sociolinguistics, Pragmatics, Lexicography Notable collaborations: Giuseppe Pappalardo (co-author on Storia della lingua giapponese ), Aleksandra Jarosz Teaching: Courses on Japanese language history, linguistic analysis, and research methodologies Calvetti's publications span monographs, edited volumes, and peer-reviewed articles in journals like European Approaches to Japanese Language and Linguistics . His work is recognized for integrating philological rigor with interdisciplinary insights into Japan's linguistic and cultural evolution.

Riccardo CantiniView profile

Assistant Professor

• Deep Learning
• Large Language Models
• Sustainable AI
• +3 more

Riccardo Cantini is an Assistant Professor (RTDA) at the Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria. He holds a European Ph.D. in Information and Communication Technologies (2023) and has been a visiting researcher at the Barcelona Supercomputing Center (BSC-CNS, 2021-2022). His research focuses on deep learning (Large Language Models, sustainable AI) and big social data analysis targeting politically polarized data and high-performance distributed systems. Education: B.Sc. (2016), M.Sc. (2019), and Ph.D. (2023) in Computer Engineering from the University of Calabria. Research interests include: Large Language Models and their ethical deployment Sustainable AI and energy-efficient edge computing Political polarization analysis using social media data Optimization of data-intensive workflows in distributed environments Key projects include the FAIR initiative (Green-Aware AI), eFlows4HPC (HPC workflows), and ASPIDE (Exascale data processing). He has authored/co-authored over 30 publications, including works on bias detection in LLMs and explainable AI in healthcare. Awards: 2024 Top 3 Best PhD Thesis in Big Data & Data Science (CINI), 2022 Editor's Choice article in Big Data and Cognitive Computing . Teaching roles include courses on Business Intelligence, High-Performance Computing, and Operating Systems. He has advised over 40 theses in AI, NLP, and big data. Professional services: Guest Editor for Big Data and Cognitive Computing , Program Chair of Green-Aware AI workshops, and reviewer for top journals/conferences (ICLR, IEEE BigData, etc.).

Alessia AntelmiView profile

Assistant Professor

• Complex networks
• Hypergraphs
• Hypergraph representation learning
• +4 more

Alessia Antelmi is an Assistant Professor (RTD-A) in the Department of Computer Science at the University of Turin, where she contributes to the Parallel Computing Group. Her work bridges theoretical computer science with real-world applications in social and technological systems. Her educational background includes: Ph.D. in Computer Science with honors from the University of Salerno, focusing on diffusion phenomena modeling using high-order networks Her research centers on complex network structures and human behavior in digital environments: Develops hypergraph representation learning techniques for modeling complex relationships Investigates social influence diffusion and user behavior evolution in online networks Designs agent-based simulations for large-scale system analysis Creates tools for data literacy and knowledge graph education Her approach integrates mathematical modeling with computational experimentation to address challenges in social dynamics and information systems. Analysis of her 15 recent publications (2023-2025) reveals three dominant trends: hypergraph-based methods for complex data representation, large-scale analysis of online communities using agent-based models, and educational tools for data literacy. Her work increasingly incorporates LLMs for social network analysis while maintaining strong theoretical foundations in network science. Her scientific recognition includes: Best paper nominee at CSEDU 2023 for open data education research Best paper nominee at AsiaSim 2019 for Rust-based simulation frameworks She has secured competitive research funding: 55,200 DKK grant under the COCOONS project (2023) led by Prof. Luca Maria Aiello at IT University of Copenhagen Erasmus+ Traineeship grant (2018) to work with Prof. John Breslin at Galway's Data Science Institute Though no advisees are listed, her collaborative publications suggest active mentorship in computational research. She actively contributes to the Parallel Computing Group at the University of Turin, developing frameworks like SWH-Analytics for large-scale software analysis and HypergraphRepository for community-driven data curation.

• Anthropology
• Big Data
• Computational Social Science
• +7 more

Alberto Acerbi is an Assistant Professor at the University of Trento , affiliated with the Department of Sociology and Social Research. His work bridges cultural evolution, digital sociology, and computational social science, focusing on how social dynamics influence information transmission in the digital age. Research interests include Cultural evolution and transmission mechanisms Computational modeling of social behavior Digital sociology and online misinformation Cognitive biases in content diffusion Interdisciplinary approaches to social science His recent publications analyze topics ranging from machine culture to misinformation dynamics , with methodological expertise in big data analysis and simulation modeling. Notable trends in his work emphasize the interplay between sentiment analysis , social learning , and digital ecosystems . Contact: alberto.acerbi@unitn.it . Office hours are available through university channels.

Kai ZhuView profile

Assistant Professor

• Computational Social Science
• Text as Data
• Digital Platforms
• +3 more

Kai Zhu is an Assistant Professor at Bocconi University in Milan, Italy. He holds a PhD in Information Systems from Boston University and additional degrees from Peking University and Beijing Language and Culture University. His research focuses on computational social science, leveraging machine learning and network analysis to study digital technologies' impact on markets, media, politics, and society. Key areas include digital transformation in cultural markets, text-as-data methodologies, and social network dynamics. Teaching responsibilities include courses like 'Data Mining for Marketing Analytics' and 'Computational Applications in Marketing.' His work integrates interdisciplinary methods to analyze large-scale datasets from platforms like Wikipedia and social media, addressing challenges such as information poverty and platform monetization. Collaborative projects include contributions to the Wikipedia Detox initiative aimed at detecting toxic online discourse through machine learning models. Notable publications explore topics ranging from platform economics to crisis communication during the early stages of the COVID-19 pandemic. His research emphasizes the ethical and societal implications of digital technologies while advancing computational methodologies for social science inquiry.

Tristan WeddigenView profile

Professor

• Global Art History
• Materiality and Mediality of Art
• History of Art History
• +4 more

Tristan Weddigen is a renowned art historian and director of the Department Weddigen at the Bibliotheca Hertziana – Max Planck Institute for Art History in Rome since 2017. He holds a full professorship in the history of early modern art at the University of Zurich (since 2009) and has previously held academic positions at the University of Bern (2008) and University of Lausanne (assistant professor). Research Priorities: Global aspects of Italian art from early modern to contemporary Materiality and mediality of art Transnational history of art history Digital visual studies Decolonizing Italian visual culture His work critically engages with transcultural art discourses, decolonial methodologies, and computational approaches. He leads the Collected Works of Heinrich Wölfflin project and the Bellori Edition Project , both foundational to art-historical scholarship. The department also drives the ScienceForUkraine initiative, addressing geopolitical challenges. Selected Publications: Weddigen co-edits the Collected Works of Heinrich Wölfflin (10+ volumes) and Bellori’s Vite (13 volumes), exploring intersections of art theory, biography, and methodological innovation. His department’s projects emphasize digital infrastructures like the Hertziana DH Lab and collaborate with institutions such as the Getty Foundation and Research Centre Ukraine.

Fabio CiambellaView profile

Researcher

• Corpus Linguistics
• Shakespeare Studies
• Translation Studies
• +3 more

Fabio Ciambella is a Researcher at the Department of European, American, and Intercultural Studies of Sapienza University of Rome . His academic work focuses on Corpus Linguistics , Shakespeare Studies , Translation Studies , and Early Modern English pragmatics. Teaches Second Language Acquisition (first semester) and English Language 3 (second semester) Specializes in dance lexicon analysis, historical translation reception, and CLIL methodology His publications demonstrate interdisciplinary connections between: Shakespearean language and modern media (ads, news, memes) Italian Renaissance dance manuals and English theatrical practices AI-assisted translation of historical varieties Eco-discourse pragmatics in food columns Office hours available via individual scheduling through fabio.ciambella@uniroma1.it

Bram van GinnekenView profile

Professor

• Medical Image Analysis
• Computer-Aided Diagnosis
• Deep Learning
• +4 more

Bram van Ginneken serves as Professor of Medical Image Analysis at Radboud University, where he has co-chaired the Diagnostic Image Analysis Group since 2010. He maintains dual affiliations with Fraunhofer MEVIS in Bremen, Germany, and founded Thirona—a company specializing in medical image analysis software and services. His academic foundation includes: Physics studies at Eindhoven University of Technology and Utrecht University Ph.D. from the Image Sciences Institute (2001) on Computer-Aided Diagnosis in Chest Radiography Van Ginneken's research pioneers medical image analysis through computational intelligence frameworks, with emphasis on deep learning applications for diagnostic imaging. His work bridges clinical practice and artificial intelligence, notably advancing challenge-based benchmarking methodologies that standardize algorithm validation across the field. Core contributions span chest radiography analysis, ambient assisted living systems, and pattern recognition techniques for medical diagnostics. Key research domains: Medical Image Analysis Computer-Aided Diagnosis systems Deep Learning in healthcare Machine Learning for radiology Clinical pattern recognition Computational diagnostic modeling As Associate Editor of IEEE Transactions on Medical Imaging and Editorial Board member for Medical Image Analysis, he shapes scholarly discourse while leading the Diagnostic Image Analysis Group—focusing on algorithm development, clinical validation, and translational implementation of imaging technologies.

• Legal Terminology
• Legal Phraseology
• Specialized Translation
• +5 more

Gianluca Pontrandolfo is a Senior Research Fellow at the University of Trieste, Department of Legal Language, Interpreting and Translation Studies (IUSLIT). He holds a PhD in Translation and Interpreting Studies and specializes in legal linguistics, corpus-based analysis of judicial language, and specialized translation. His main research interests include: Legal terminology and phraseology Specialised discourse and genres applied to translation studies Corpus linguistics methodologies Text linguistics in judicial contexts Translation training approaches Pontrandolfo's scholarly work demonstrates a strong focus on cross-linguistic analysis of legal language, particularly between Spanish and Italian systems. His research employs corpus linguistics to examine phraseological patterns in judicial discourse, legal terminology, and specialized translation challenges. His publications reveal expertise in analyzing sentence adverbs, gerunds, metaphorical expressions, and discourse markers within legal contexts across multiple languages. He actively contributes to several research networks: EDAP group (Studies on Professional Academic Discourse, University of Barcelona) CLAVIER (Corpus and Language Variation in English Research Group, University of Modena e Reggio Emilia) Interdisciplinary Research Group CAL 2 (Computer Assisted Legal Linguistics) His editorial work includes co-editing significant volumes such as 'Phraseology in Legal and Institutional Settings' (2018) and the special issue 'Law in Transfer and Translation' (2017), demonstrating leadership in advancing methodological approaches in legal linguistics and translation studies.

• Environmental Humanities
• Posthumanism
• Digital Humanities
• +8 more

Stefano Rozzoni, PhD, serves as a Postdoctoral Research Fellow and Lecturer at the University of Bergamo, Italy, within the Department of Foreign Languages, Literatures, and Cultures. Previously, he held a Postdoctoral University Assistant position at the University of Graz, Austria. His academic foundation includes dual PhDs: one in 'Transcultural Studies in Humanities' from the University of Bergamo and another in 'Literary and Cultural Studies' (cotutelle) from Justus-Liebig-University Giessen. Rozzoni's research spans multiple intersecting fields with a primary focus on environmental narratives in Anglophone literature and culture. His work examines 20th century literary movements including Georgian Poetry and Modernist British literature, with particular attention to the Bloomsbury Group, Virginia Woolf, and Vita Sackville-West. He investigates how environmental themes manifest across diverse media forms including movies, theatre, memes, and video games, with special interest in pastoral traditions, Franciscanism, urban/rural spaces, and ecofascism. A central pillar of his scholarship is posthumanism, which he explores through the Italian Posthuman Network (Rete Posthuman Italiana), which he co-founded. His current research intersects Environmental Humanities and Digital Humanities to study contemporary pastoral manifestations. Rozzoni's publication record demonstrates significant engagement with environmental philosophy and posthuman thought, with numerous recent articles published in 2024-2025. His work shows a clear trajectory examining human-nonhuman relationships through literary and cultural lenses, with particular emphasis on Francis of Assisi's ecological legacy, digital environments like Minecraft, and responses to the Anthropocene. His scholarship bridges theoretical frameworks with practical applications, as evidenced by his empirical study on air pollution narratives in educational contexts. As Principal Investigator of the 'NEST Research Network. Narratives in Environmental and Sustainable Transitions' funded by the European Union (NextGenerationEU) and the Italian Ministry of University and Research, Rozzoni leads significant research initiatives at the intersection of environmental studies and literary scholarship. His work on the Economy of Francesco project demonstrates his ability to connect literary analysis with economic discourse, particularly regarding Franciscan philosophy's influence on contemporary thought.

Nicola RighettiView profile

Assistant Professor

• Computational Social Science
• Digital Methods
• Data Analysis
• +7 more

Nicola Righetti serves as Assistant Professor at the Department of Communication Sciences, Humanities and International Studies (DISCUI) at the University of Urbino Carlo Bo. A computational social scientist with extensive expertise in data analysis and digital methodologies, he bridges technical approaches with social scientific inquiry. His research examines how digital media platforms shape communication, public discourse, and political behavior through rigorous data-driven investigation. Methodologically, he specializes in: Large-scale data analysis Network analysis techniques Machine learning applications Natural language processing Advanced statistical modeling Righetti teaches Digital Methods and Sociology of Cultural and Communicative Processes courses across multiple degree programs including Information, Media and Advertisement, and Modern Languages and Cultures. His scholarly work investigates the intersection of communication technologies with democracy, power structures, and social transformation. He has established significant research partnerships with: European Commission Media Authority of North Rhine-Westphalia These collaborations focus on critical contemporary issues including misinformation ecosystems, digital influence operations, and platform governance frameworks. Previously, he contributed to the Computational Communication Science Lab at the University of Vienna's Department of Communication.