جستجوی استاد راهنمای دانشگاهی

Elliott Ash is an Associate Professor of Law, Economics, and Data Science at ETH Zurich's Center for Law & Economics. He holds a Ph.D. in Economics and J.D. from Columbia University, a B.A. in Economics, Government, and Philosophy from the University of Texas at Austin, and an LL.M. in International Criminal Law from the University of Amsterdam. His research focuses on empirical legal studies using econometrics, NLP, and ML, examining topics like judicial behavior, legislative impact, and AI-driven governance. He has been funded by the ERC, Swiss NSF, and others. Research Interests: Elliott explores automation of legal decisions, text-as-data analysis in law, and the intersection of AI with legal systems. He develops tools like BallotBot and LePaRD to enhance legal transparency and public understanding. His work bridges law, economics, and computer science, with publications in top journals like the American Economic Journal and Review of Economics and Statistics . Teaching: Courses include Building a Robot Judge , Natural Language Processing for Law , and Big Data for Public Policy . He co-organizes the Zurich Workshop in AI+Economics and Monash-Warwick-Zurich Text-as-Data Workshops. Awards: European Research Council Starting Grant, Swiss National Science Foundation Grant, and multiple grants from U.S. and Swiss institutions. His work has been featured in NPR , VoxEU , and Georgetown Law Journal . Labs/Teams: Leads the Swiss AI Initiative's Human-AI Alignment team, collaborates with the CEPR on Political Economy research, and serves as an Economic Journal Associate Editor.

• Law and Economics
• Political Economy
• Econometrics
• +۵ مورد دیگر

Gerold Schneider is an Associate Professor at the University of Zurich , affiliated with the Department of Computational Linguistics under the Faculty of Arts and Social Sciences and Faculty of Business, Economics and Informatics . He leads the Text Crunching Center (TCC) , focusing on interdisciplinary research at the intersection of NLP, Digital Humanities, and Health Data Science. Research Interests His work spans Text Analytics , Digital Humanities , Corpus Linguistics , and Health Data Science , with applications in: Biomedical NLP (e.g., Alzheimer’s detection, clinical trials) Digital Humanities projects (e.g., analyzing Charles Dickens, UN archives) Migration discourse framing across languages Adversarial data collection for hate speech detection Interdisciplinary methodologies for digital unstructured data Recent Publications 2025–2024 research highlights include annotated corpora for preclinical and neurological studies, AI-driven analysis of historical linguistic variation, and innovative tools for language learners. His NLP applications address health diagnostics, ethical AI, and cross-lingual political discourse. Labs & Teams As TCC leader, he spearheads collaborative projects within the Digital Society Initiative (DSI) communities (AI & Law, Health, Ethics, etc.), integrating computational methods with humanities and health research.

• Computational Linguistics
• Digital Humanities
• Corpus Linguistics
• +۳ مورد دیگر

Frédéric Kaplan serves as Director of the College of Humanities at École Polytechnique Fédérale de Lausanne (EPFL), where he holds the Chair of Digital Humanities. He also serves as President of the Time Machine Organisation, a nonprofit entity comprising over 600 institutions. His academic appointments span multiple departments including the Digital Humanities Laboratory (DHLAB), School of Architecture (SAR), and School of Humanities (SODH), demonstrating his interdisciplinary leadership across EPFL's academic structure. Dr. Kaplan's research focuses on the intersection of computational methods and humanities, particularly in historical urban analysis, cultural heritage digitization, and the development of the Mirror World concept. His work bridges computational techniques with historical scholarship, creating new methodologies for analyzing historical documents, maps, and urban structures through advanced digital tools. His research has significant implications for how we understand and reconstruct historical urban environments and cultural heritage. His publication record reveals a strong emphasis on computational approaches to historical data, with recent work focusing on LLM applications for historical cadastre navigation, historical map analysis through deformation patterns, 4D city modeling, and language technology applications for historical document processing. This research trajectory demonstrates an evolving focus from basic digitization toward sophisticated analytical frameworks that extract deeper historical insights from digital representations. Kaplan has supervised numerous doctoral students whose work spans digital heritage applications, historical document analysis, computational cartography, and language technology. His research has been supported through multiple institutional frameworks at EPFL and has resulted in practical applications demonstrated through exhibitions at major institutions including the Venice Architecture Biennale, Grand Palais, Centre Pompidou in Paris, and the Museum of Modern Art in New York. He leads the Digital Humanities Laboratory (DHLAB) which serves as a nexus for computational approaches to humanities research. The lab focuses on developing methodologies for historical data analysis, creating digital tools for cultural heritage institutions, and exploring the theoretical implications of computational approaches to historical scholarship. The lab's work with the Time Machine Organisation represents one of the most ambitious efforts to create comprehensive digital reconstructions of historical urban environments.

• Digital Humanities
• Computational History
• Historical Map Analysis
• +۴ مورد دیگر

Martin Volk is a Full Professor of Computational Linguistics at the University of Zurich, with a dual affiliation to the Department of Informatics since 2019. He holds a PhD from the University of Koblenz and has held academic positions at institutions including Stockholm University (part-time from 2008-2011), Zurich University of Applied Sciences, and the University of Georgia. His research focuses on grammar engineering, machine translation evaluation, multilingual text analysis, and cross-language information retrieval. Education : Born in Cochem, Germany Studied Computer Science and Computational Linguistics at EWH University, Koblenz Master's in Artificial Intelligence at the University of Georgia (Fulbright Scholar) PhD in Computational Linguistics from the University of Koblenz Research Interests : His work emphasizes data-driven NLP methods, including corpus-based approaches, parsing technologies, and the application of machine learning to historical and multilingual texts. Key focuses include: Machine translation systems and evaluation frameworks Grammar testing environments (e.g., GTU) OCR and digitization of historical documents (e.g., Gothic script) Development of parallel corpora for linguistic research Projects : SMULTRON: Multilingual parallel treebank project Bullinger Digital: Historical document digitization initiative Text+Berg: Digital Humanities project for alpine textual heritage EU-funded MuchMore (cross-language medical IR) Grants & Collaborations : Recipient of grants from the Swiss National Science Foundation, EU projects, and industry partnerships (e.g., Siemens, Xerox). His work integrates academic and industrial perspectives in NLP tool development. Labs & Teams : Leads research teams in the Institute of Computational Linguistics at UZH, focusing on projects like the Zurich Parallel Corpus Collection and MODERN (modeling discourse for MT).

• Computational Linguistics
• Machine Translation
• Natural Language Processing
• +۵ مورد دیگر

Prof. Dr. Andreas Kilcher is a Full Professor of Literature and Cultural Studies at ETH Zurich’s Department of Humanities, Social and Political Sciences. He serves as Deputy Head of the Department and holds leadership roles in academic initiatives such as Director of the Center for History and Knowledge (2014–2016), President of the Thomas Mann Archive, and President of the European Society for the Study of Western Esotericism (ESSWE). His research focuses on German-Jewish literature, Kabbalah, and esoteric studies, with a particular interest in modern German authors like Kafka, Thomas Mann, and Walter Benjamin. Education: Kilcher studied German Literature, History, and Philosophy in Basel and Munich, earned his PhD at the Hebrew University of Jerusalem (1993), and habilitated at the University of Münster (2002). He held academic positions at the Universities of Basel, Münster, and Tübingen before joining ETH Zurich in 2008. Research Interests: His work bridges literary analysis with cultural and religious studies, examining themes such as esotericism in modern German literature, Jewish philosophical traditions, and the intersection of politics and narrative. Recent publications explore Thomas Mann’s engagement with Einstein’s theories, Kafka’s creative process, and Joseph Roth’s religious perspectives. Professional Activities: Kilcher actively contributes to academic governance, including roles in ETH’s Doctoral Committee (D-GESS) and the Language Center board. He also publishes in prominent journals like Frankfurter Allgemeine Zeitung and collaborates internationally, evidenced by his edited volumes on Jewish religious philosophy and Kafka’s drawings. Labs/Teams: Leads the ETH’s interdisciplinary research initiatives, particularly in German-Jewish cultural history and literary esotericism, supported by his directorship of historical archives and scholarly societies.

• History of German-Jewish Literature and Culture
• Literary and Cultural Studies
• Kabbalah and Esoteric Studies
• +۳ مورد دیگر

Julia Gelshorn is a full professor of modern and contemporary art history at the University of Fribourg , Switzerland, since 2013. She specializes in strategies of appropriation, repetition, and translation in art, with a focus on 21st-century practices and 18th-century French art theory. Her research explores artistic subjectivity, realism, and the intersection of art, politics, and economy. Education: Art History, Theater Science, and Italian Literature at the Universities of Cologne and Bern. Key Roles: Post-doctoral fellow at the German Center for Art History (2006-2008); visiting professor at HfG Karlsruhe (2008-2010); professor at Universities of Vienna (2010-2011) and Hamburg (2011-2013). Research Interests center on: (1) artistic appropriation as a critical and affective tool; (2) realisms across historical contexts; (3) artist interviews as legible texts; (4) art’s engagement with political and economic systems; (5) theoretical frameworks for visual culture. Her current Real Abstractions project (2023-2027) rethinks realism through social abstractions like financialization and digital networks. Scientific Contributions include the Lazarus Prize from the University of Bern’s Faculty of Humanities (2003) for her dissertation on Richter and Polke. Her publications span books like Aneignung und Wiederholung (2012) and edited volumes on artists such as Jean Tinguely (2016), while her recent articles address Martin Kippenberger, Rosemarie Trockel, and Benjamin Buchloh’s historiography. Notable Projects include the completed SNSF-funded Cinema in Art and Literature (2016) and the ongoing Real Abstractions initiative, which also involves a traveling exhibition and interdisciplinary workshops.

• Contemporary Art (19th-21st centuries)
• French 18th-century Art and Theory
• Artistic Appropriation
• +۵ مورد دیگر

Hugo Subtil is a postdoctoral researcher at the Department of Political Science, Faculty of Arts and Social Sciences, University of Zurich, affiliated with the Chair of Comparative Politics in Political Institutions and European Politics. He is an active member of the University's Digital Society Initiative (DSI), particularly engaged with the DSI Community AI & Law and multiple other interdisciplinary communities including Cybersecurity, Digital Humanities, and Ethics. His academic background includes: Economics studies at École Polytechnique (France) PhD from École des Mines and École Polytechnique (France) Subtil's research program integrates Political Economy, Political Science, and Computational Social Science to investigate European political dynamics through quantitative text analysis. He specializes in extracting political ideologies from large-scale text corpora using machine learning algorithms and social media data, with dual research foci: (1) how institutional design shapes social norms and behaviors, and (2) longitudinal evolution of political ideologies. His methodological approach bridges traditional political science with cutting-edge computational techniques for analyzing legislative discourse and public communication. Analysis of his 12 publications (2020-2025) reveals a clear trajectory from historical economic analysis toward contemporary computational political science. Early work (2020-2021) examined Marxian economics and pandemic-era urban migration patterns, while recent research (2023-2025) increasingly focuses on European Parliament discourse, populism, and emotional rhetoric using advanced text mining techniques. This evolution demonstrates growing specialization in computational analysis of political communication within European institutions. No scientific awards or major honors are documented in the available information. While no formal advisees or grant funding details are specified, Subtil's collaborative work within the DSI framework suggests engagement with interdisciplinary research teams addressing digital society challenges. His position within the Chair of Comparative Politics indicates involvement in departmental research initiatives related to European governance. Subtil operates at the nexus of multiple research ecosystems: the Department of Political Science's European Politics research group, the university-wide Digital Society Initiative, and specialized DSI communities exploring AI-law intersections. His work contributes to the DSI's mission of addressing societal challenges through digitalization research, particularly in computational analysis of political discourse and institutional behavior.

• Political Economy
• Political Science
• Computational Social Science
• +۳ مورد دیگر

Dr. Eva Cetinic is a DSI Bridge Postdoc Fellow at the University of Zurich, conducting research at the intersection of deep learning, explainable AI, and digital art and humanities. Previously, she held postdoctoral positions at Durham University and the Center for Digital Visual Studies at the University of Zurich, and worked as a Professional Associate and Postdoc at the Rudjer Boskovic Institute in Croatia from 2015 to 2021. Her educational background includes: PhD in Computer Science, University of Zagreb (2019) Dr. Cetinic's research focuses on computational image understanding and multimodal learning for visual art and culture, investigating how text-image models encode socio-cultural patterns and impact artistic creation. Her work critically examines ethical and societal implications of AI while bridging computer science, digital humanities, and art history through interdisciplinary methodologies. Her publication trends (2019-2025) reveal concentrated analysis of generative AI's cultural impact, particularly text-to-image systems. She systematically investigates bias propagation (gender, cultural), user interaction dynamics, and creative processes while developing technical frameworks for art analysis - moving beyond technical capabilities to address real-world implications in artistic and cultural contexts. She currently leads the UZH-funded project 'From Hype to Reality: Artificial Intelligence in the Study of Art and Culture' in collaboration with the University of Cambridge, establishing cross-institutional frameworks for responsible AI adoption. Her research methodology emphasizes practical implementation within humanities workflows through international networks like DARIAH. As a DSI Bridge Postdoc Fellow, Dr. Cetinic operates within the University of Zurich's Digital Society Initiative ecosystem, connecting computational research with the Center for Digital Visual Studies and global digital humanities infrastructures to examine AI's transformative role in cultural production and interpretation.

• Deep Learning
• Explainable AI
• Digital Art
• +۵ مورد دیگر

Regula Hänggli Fricker is a Full Professor at the Department of Communication and Media Sciences, Faculty of Economics and Social Sciences and Management, University of Fribourg, Switzerland. She previously held positions at the Amsterdam School of Communication Research (ASCoR) and has been a visiting researcher at ETH Zurich (TdLab and COSS initiative), Northwestern University, and the University of Bergen. Her research focuses on Political communication Comparative perspectives on institutional reforms Digital democracy Public debate and opinion formation Media dialogue in political contexts Analysis of her 15 most recent publications reveals trends in participatory budgeting, digital governance, media framing of religious/political topics, and computational social science applications. These works span disciplines like political science, computer science, and media studies, with subfields including AI debates, voting system design, religious representation, and polarization dynamics. Her academic credentials include a PhD from the University of Zurich and a Master's in Political Science (major) and Economics (minor) from the University of Bern. Collaborations with Evangelos Pournaras, Dirk Helbing, and others highlight interdisciplinary projects in smart city ethics and democratic innovation.

• Political Communication
• Digital Democracy
• Public Debate
• +۳ مورد دیگر

Isabelle Augenstein is a Professor at the University of Copenhagen's Department of Computer Science, where she leads the Copenhagen Natural Language Understanding (CopeNLU) research group and the Natural Language Processing section. She became Denmark's youngest female full professor in 2022 and co-leads the Danish Pioneer Centre for Artificial Intelligence's Speech and Language collaboratory. ERC Starting Grant recipient DFF Sapere Aude Research Leader fellow Karen Spärck Jones Award winner Hartmann Diploma Prize recipient Her research focuses on fair and accountable NLP systems, with specific emphasis on explainability, factuality, bias detection, and social NLP. She investigates cultural biases in language models, develops frameworks for explainable fact checking, and explores uncertainty estimation in NLP systems. Recent publications demonstrate expertise in: Mechanistic analysis of cultural bias representations Context utilization techniques for LLMs Explainability metrics and attribution methods Cross-domain label adaptation Retrieval-augmented generation Fact checking uncertainty quantification Major scientific contributions include: Numerous EMNLP and ACL publications Foundational work on stance detection Development of fact checking benchmarks Multilingual model analysis AI ethics frameworks She supervises a team of researchers working on explainable AI and fact checking systems, with current projects including the ExplainYourself ERC-funded initiative on explainable fact checking. Her group recently presented multiple papers at EMNLP 2025 on topics spanning explainable AI and social NLP.

• Natural Language Processing
• Machine Learning
• Explainable AI
• +۴ مورد دیگر

Michel Steinmetz is a Full Professor in the Department of Practical Theology at the Faculty of Theology, University of Fribourg. His academic career spans both French and Swiss institutions, with significant contributions to liturgical theology and sacred music studies. His educational background includes: Master's degree in Sacred Art from the Institut Catholique de Paris (ICP) Doctorate in anthropology and history of religions from the Sorbonne Doctorate in theology from the Institut Catholique de Paris (dissertation on "The Official Function of Church Music") Professor Steinmetz's research focuses on the theology of liturgy, exploring how to build theological understanding from the multifaceted activity of the Ecclesia orans. His work examines the relationship between liturgy and ecclesiology, liturgy as a resource for rooting oneself in living tradition, and the relationship between liturgy and the arts. His scholarship demonstrates a deep engagement with both historical and contemporary liturgical practices, with particular attention to the role of sacred music within liturgical contexts. Analysis of his recent publications (2023-2025) reveals a consistent focus on liturgical theology, with particular attention to the relationship between liturgy and ecclesiology, the role of sacred music, and contemporary liturgical challenges. His work spans historical analysis of medieval liturgical practices, theological reflection on current liturgical reforms, and practical applications for contemporary worship. A notable theme across his recent work is the exploration of how liturgical practices can serve as resources for spiritual formation and ecclesial renewal. Professor Steinmetz is actively involved in several research communities: Research team "Rites et Spiritualité" (Pôle "Textes et Herméneutiques" of the research unit "Religion, Culture et Société" EA 7403) Editorial committee of the journal La Maison-Dieu AKL (Association of Catholic Liturgical Scholars in the German-speaking area) Before his academic career, Professor Steinmetz served as a priest in the Diocese of Strasbourg, where he was parish priest and Director of the Diocesan Service for Liturgical and Sacramental Pastoral Care, Sacred Music, and Sacred Art for twelve years. He also served as president of the Union Sainte-Cécile and as Master of Ceremonies for the Archbishop of Strasbourg, providing him with practical experience that informs his academic work.

• Theology of Liturgy
• Ecclesiology
• Sacred Music
• +۵ مورد دیگر

Valentina Calzolari Bouvier is Full Professor of Armenian Studies at the University of Geneva , holding the first and only Armenian Studies chair in Switzerland. She directs Bachelor's and Master's programs in Armenian Studies (ancient and modern) and doctoral training, while serving as President of the International Association for Armenian Studies and a corresponding member of the Academy of Inscriptions and Belles-Lettres . Key affiliations: Pembroke College (Oxford), Hebrew University, École Pratique des Hautes Études Current research: Christian apocrypha in Armenian, Greco-Armenian philosophical transmission, Soviet-era Armenian literature Her recent publications focus on Armenian apocryphal texts (2022's The Apocryphal Acts of the Apostles in Armenian ), medieval Armenian historiography, and Armenian diaspora literature. She co-directs the LABEAC research laboratory on Central Europe-Orient and Central Asia, and has received the Movses Khorenatsi Medal (2023) and honorary doctorate from Armenia (2007). Scientific distinctions include: Movses Khorenatsi Medal (2023) Accademia Ambrosiana membership (2010) Honorary Diploma from Republic of Armenia (2012) Leverhulme Visiting Professor (Oxford, 2021-2023)

• Armenian Studies
• Christian Apocrypha
• Late Antique Philosophy
• +۴ مورد دیگر

Daniel Hershcovich is a Tenure-Track Assistant Professor at the Natural Language Processing section of the Department of Computer Science, University of Copenhagen. His research focuses on cross-cultural adaptation of language models, integrating human values into AI systems, and evaluating AI's real-world impact in domains like law, literature, and food culture. Research Themes Cultural value alignment in LLMs Multimodal models for accessibility Cross-cultural recipe and food knowledge Historical Scandinavian text analysis Ethical AI and bias mitigation Scientific Recognition SAC Highlight Award (ACL 2025) Outstanding Paper Award (ACL 2017) Advising & Grants : Mentions collaborations on multiple EMNLP/ACL/CoNLL papers. Leads Independent Research Fund Denmark project ALIKE (2025-2027) and contributes to Innovation Fund Denmark's XHAILe (2025-2028). Co-organized SemEval 2019 and CoNLL 2019/2020 shared tasks. Labs & Teams : Leads the CoAStaL research group. Collaborates with teams at IBM Research Haifa, University of Manchester, and Wuhan University of Science and Technology.

• Natural Language Processing
• Cross-Cultural NLP
• Computational Linguistics
• +۷ مورد دیگر

Isabella Di Lenardo is a Lecturer and Scientist at the Digital Humanities Institute (DHI) at École Polytechnique Fédérale de Lausanne (EPFL), where she also serves as the coordinator of the EPFL Time Machine Unit and the European Local Time Machines. She holds affiliations across multiple departments, including DHI-GE, SAR-ENS, SHS-ENS, and EDDH-ENS, reflecting her interdisciplinary role in teaching and research. Her educational background includes a PhD in Theories and Art History, with postdoctoral and faculty experience at institutions such as INHA (Paris), EPFL, and IUAV (Venice). Her research spans Digital Humanities, Art History, Urban History, and GIS , with a focus on digital urban reconstruction, historical cadastres, and AI applications in cultural heritage. She employs advanced computational methods including machine learning, 4D modeling, and semantic segmentation to analyze historical maps, cadastral records, and art archives. Her work bridges humanities scholarship with computer science, particularly in reconstructing urban evolution and analyzing visual patterns. The recent publications reveal a consistent trend in AI-powered historical data analysis , especially in processing non-standardized historical documents, reconstructing urban spaces, and developing open-source tools for digital heritage. Her work frequently involves large-scale datasets from Venice, Lausanne, Paris, and Jerusalem, demonstrating a transnational and interdisciplinary approach. She has contributed to significant collaborative projects such as the Venice Time Machine , Parcels of Venice , and Time Machine Organization , often acting as a principal investigator or project leader. Her role involves coordinating diverse teams of researchers, engineers, and cultural institutions. Scientific contributions include: Development of the Morphograph tool for visual pattern recognition in art archives Automatic vectorization and analysis of Napoleonic cadastres Creation of 4D models for historical cities AI-driven text and pattern extraction from historical maps Building discovery engines for digital art history She actively teaches ex cathedra courses in Digital Urban History and Art History at EPFL and internationally. Her work in grants and projects emphasizes open data, reproducibility, and interdisciplinary collaboration. She has led research funded by organizations supporting digital heritage innovation. She is a key member of the Digital Humanities Laboratory at EPFL and the Time Machine Organization , where she fosters collaboration between computer scientists, historians, and cultural institutions. Her work in the Replica Project and ARCHiVe center highlights her leadership in digitizing and making accessible large art historical archives.

• Digital Humanities
• Art History
• Urban History
• +۱۱ مورد دیگر

Dr. Yizi Chen is a Researcher affiliated with the Professorship for Cartography at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. Their work focuses on advancing cartographic techniques through AI-driven methods, historical map analysis, and geospatial technologies. Key contributions include automated map vectorization, semantic segmentation of historical maps, and integrating multimodal data for robotic systems. They have published extensively in top-tier journals and conferences, addressing challenges in deep learning applications for geomatic engineering. Education details are not explicitly provided in the text. Research interests include semantic segmentation, generative AI for cartography, and steganography in image translation. Notable publications span topics from eye-tracking segmentation to urban land use mapping, reflecting a strong interdisciplinary approach. Dr. Chen collaborates on projects involving historical map digitization and benchmarking datasets for computer vision tasks. No awards or grants are mentioned. Their work contributes to advancing geomatic engineering through innovative solutions in digital mapping and spatial data analysis.

• Cartography
• Geomatic Engineering
• Historical Map Analysis
• +۴ مورد دیگر