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Antoine BosselutView profile

Assistant Professor

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +5 more

Antoine Bosselut is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, where he leads the EPFL NLP group. His research focuses on developing AI reasoning agents that can model, represent, and reason about human and world knowledge, with applications in health, education, and global fairness. His research interests span multiple critical areas in modern AI: LLM Representations of Knowledge: Understanding what language models know and how they represent that knowledge internally Reasoning Algorithms: Developing methods to improve LLMs' reasoning capabilities through symbolic systems, neuroscience, and cognitive science Large-scale AI Development: Creating open-source foundation models with multilingual capabilities AI Democratization: Ensuring equitable access to AI technologies across different cultural and regulatory contexts His recent publications reveal a strong focus on the intersection of language models and cognitive science, with multiple studies examining how LLMs align with human cognition. He's also deeply engaged in practical applications of NLP technology, particularly in education and multilingual settings, as evidenced by his work on evaluating AI's impact on higher education and developing culturally-aware language models. His scientific achievements have been recognized with several prestigious awards: Outstanding Paper Award at NAACL 2025 ELLIS Scholar designation in 2024 Outstanding Paper Award at ACL 2023 Inclusion in Forbes 30 Under 30 list for Science & Healthcare in 2021 Bosselut actively mentors numerous PhD students across diverse NLP research areas and has secured significant recognition for his work in both academic and media circles. His lab has been featured in major publications including Communications of the ACM, The Atlantic, and Quanta Magazine, highlighting the societal impact of his research on commonsense reasoning and AI capabilities.

Greg DurrettView profile

Associate Professor

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +7 more

Greg Durrett is an Associate Professor in the Department of Computer Science at University of Texas at Austin, leading the TAUR Lab (Text Analysis, Understanding, and Reasoning ). His research focuses on advancing Large Language Models (LLMs) for knowledge-intensive tasks in medical information processing scientific discovery legal reasoning . He received his B.S. in Computer Science and Mathematics from MIT (2010) and Ph.D. in Computer Science from UC Berkeley (2016). His work develops techniques to train LLMs with new capabilities augment models for reliability assess model outputs improve reasoning frameworks . His 15 most recent publications (2021-2025) span knowledge propagation in LLMs chain-of-thought reasoning code generation benchmarks multi-modal reasoning fact verification discourse analysis . Scientific honors include NSF CAREER Award (2024) NSF grants (2018, 2024) Bloomberg Data Science Grant (2017) Facebook Fellowship (2014) Best Paper Finalist (EMNLP 2013) . Teaching: CS388: Natural Language Processing (graduate) CS371N: NLP (undergraduate) High school NLP module .

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +4 more

Andrew Zisserman is a Royal Society Research Professor at the University of Oxford's Department of Engineering Science, affiliated with the Visual Geometry Group (VGG). His research focuses on computer vision, artificial intelligence, and neural networks, with significant contributions to multimodal learning, video understanding, and 3D scene analysis. He leads projects exploring visual-language models, audio-visual synchronization, and clinical imaging applications. Key research areas include: Video analysis and temporal modeling Multimodal systems for sign language translation and action recognition 3D shape estimation and physical property inference Foundation models and cross-modal retrieval Recent work highlights: Developed Flamingo and Tapir models for video-language tasks Advancements in spinal MRI analysis and clinical imaging Leadership in EGO4D and VoxCeleb challenges Honors include Fellowship of the Royal Society (FRS) and the ISSLS Prize in Clinical Science 2023 for spinal analysis innovations. His lab collaborates globally, emphasizing real-world applications in healthcare and autonomous systems.

Aishwarya AgrawalView profile

Assistant Professor

• Multimodal learning
• Deep learning
• Natural language processing
• +3 more

Aishwarya Agrawal is an Assistant Professor at Université de Montréal in the Department of Computer Science and Operations Research (DIRO), affiliated with Mila – Quebec Institute of Artificial Intelligence and a Canada CIFAR AI Chair. She also serves as a research scientist at Google DeepMind, spending one day weekly there. Education: B.E. in Electrical Engineering (IIT Gandhinagar, 2014), Ph.D. in Computer Science (Georgia Tech, 2019). Her research focuses on multimodal learning , deep learning , natural language processing , and computer vision , particularly in developing AI systems that 'see' and 'communicate' effectively. Grants & Awards: Canada CIFAR AI Chair, 2020 Sigma Xi Best PhD Thesis Award, NVIDIA Fellowship (2018–2019), and multiple fellowships from Google and Facebook. She leads projects like Advancing Multimodal Vision-Language Learning (CRSNG-funded) and StarDoc: Document Structure Extraction (MITACS). Research Contributions: Pioneered benchmarks like CulturalVQA and UI-Vision , and frameworks such as PROGRESS for efficient VLM training. Her work emphasizes cross-modal alignment, robust evaluation, and cultural understanding in AI systems. Labs/Teams: Active in Mila’s core academic group and collaborates with Google DeepMind on multimodal and vision-language research. Supervises a dynamic team of PhD and master’s students in Montreal.

Bernard ArpsView profile

Professor

• Southeast Asian Studies
• Indonesian Language and Culture
• Javanese Language and Culture
• +9 more

Bernard (Ben) Arps is Professor of Indonesian and Javanese Language and Culture at Leiden University's Institute for Area Studies within the Faculty of Humanities. His research focuses on the interface of humanities and humanistic social sciences, particularly examining how language, performance, texts, and media contribute to 'worldmaking' - the processes through which people and institutions shape realities for themselves and others. Geographically centered on Southeast Asia with a core focus on Indonesia and the Malay world, Arps specializes in Java and its diasporas. His scholarly interests include religious encounters (particularly between Islam and local vernacular traditions), philological theory as applied to performance and new media, narrativity in song and audio media, and the theoretical foundations of area studies. Arps has conducted extensive fieldwork in Indonesia since 1979, totaling over four years, primarily in Central and Eastern Java regions including Surakarta, Yogyakarta, Banyuwangi, and Cilacap. His current book projects explore the Quest narrative pattern across religious traditions (focusing on Dewa Ruci), the sociopolitical formation of languages through media and performance (using Osing in Banyuwangi as a case study), and the Asian Muslim epic of Amir Hamza. Arps teaches primarily in Leiden's BA programme in South and Southeast Asian Studies, BA in International Studies, and MA programme in Asian Studies. Former chair of the Department of Languages and Cultures of Southeast Asia and Oceania (1995, 1999/2000, 2003-2006, 2008) Previously taught at School of Oriental and African Studies, University of London (1988-1993) Held visiting positions at NIAS (2001/02), ANU (2005), University of Michigan (2006/07), NUS/ARI (2011/12), UNS (2017), and IIAS (2018/19) Arps has supervised doctoral, Master's, and Bachelor's dissertations across Indonesian, Malay, Singapore, Cambodian, and Thai studies, with particular expertise in Javanese, Sundanese, Betawi, Balinese, Sasak, Mentawai, and Minangkabau cultures and languages. His work spans religion, performance, media, literature, sociolinguistics, lexicography, and education.

Federico ZANETTINView profile

Professor

• Corpus Linguistics
• Translation Studies
• Graphic Narrative Translation
• +5 more

Federico ZANETTIN is a Full Professor in the Department of Comparative Linguistic and Cultural Studies at Ca' Foscari University of Venice. His research focuses on translation studies with particular emphasis on corpus linguistics, graphic narrative translation, and journalistic translation. He maintains an active presence in the academic community through editorial work and research collaborations. Professor ZANETTIN's research interests span multiple areas of translation studies. He is particularly known for his work on corpus linguistics and its applications to translation analysis, with a focus on creating and using linguistic databases. His research on the translation of graphic narratives examines the verbal and visual aspects of translating comics and graphic novels across cultures. Additionally, he investigates journalistic translation , analyzing how information is translated and disseminated across media platforms. His scholarly work demonstrates consistent productivity, with numerous publications that explore the intersection of translation, culture, and media. Professor ZANETTIN's research shows particular strength in analyzing adaptation processes across linguistic, cultural, and modal boundaries, both synchronically and diachronically. Professor ZANETTIN serves on several important editorial boards: Co-editor of inTRAlinea Member of the international advisory board for The Translator Member of the international advisory board for Translang Member of the international advisory board for Entreculturas Member of the publications committee for Transletters. International Journal of Translators and Interpreters Member of the scientific committee for the Book series Interactio He is also frequently called upon as a referee for prestigious research projects, including those funded by The British Academy (UK), MIUR (Ministry of Education, University and Research), Italy, CSIC (Consejo Superior de Investigaciones Científicas), Spain, NRC (National Research Council), Canada, National and Kapodistrian University of Athens, Greece, and SNSF (Swiss National Science Foundation). Professor ZANETTIN teaches courses in English language and translation at both undergraduate and graduate levels, focusing on European, American, and postcolonial languages and literatures. His teaching reflects his research expertise in translation studies and cross-cultural communication.

Heather InwoodView profile

Associate Professor

• Contemporary Chinese literature
• Poetry studies
• Digital humanities
• +5 more

Dr. Heather Inwood serves as University Associate Professor in Modern Chinese Literature and Culture within the Faculty of Asian and Middle Eastern Studies at the University of Cambridge. She is also a Fellow and Director of Studies at Trinity Hall, maintaining dual institutional affiliations that support her teaching and research activities across undergraduate and postgraduate programs. Her educational background includes a BA in Chinese Studies from the University of Cambridge (Trinity Hall), followed by advanced studies at Tsinghua University and Peking University, culminating in a PhD in modern Chinese literature from SOAS, University of London in 2008. Prior academic appointments include Assistant Professor at The Ohio State University (2008-2013) and Lecturer in Chinese Cultural Studies at the University of Manchester before returning to Cambridge in 2016. Professor Inwood's research program investigates the dynamic interactions between digital media and literary production in contemporary China, with particular focus on poetry communities, genre fiction, and transmedia storytelling. Her work bridges traditional literary analysis with digital humanities approaches, examining how online platforms transform authorship, reception, and cultural value. She has pioneered scholarship on internet poetry scenes, demonstrating their vitality despite public perceptions of poetry's decline in modern China. Her publication trajectory reveals a clear evolution from early work on poetry communities ( Verse Going Viral: China's New Media Scenes , 2014) toward broader investigations of digital narrative forms, game studies, and Sinophone cyberspace. Recent publications increasingly engage with science fiction, transmedia storytelling, and the algorithmic structures shaping literary production, reflecting both the changing digital landscape and her expanding methodological toolkit. Professor Inwood actively supervises five PhD students working on diverse projects spanning Misty poetry, queer narratives, gender studies, and poetic animality, demonstrating her commitment to nurturing next-generation scholarship in Chinese literary studies. Her research has been supported by British Academy Small Grants and similar funding mechanisms that enable sustained fieldwork and publication. Her teaching responsibilities include undergraduate courses on East Asian media and popular culture, Modern Chinese texts, and Modern Chinese literature, connecting classroom instruction directly to her research expertise. She also maintains public engagement through Chinese-language columns for BBC China and other media outlets, bridging academic and public discourse on contemporary Chinese culture.

Dorit AbuschView profile

Professor

• Semantics
• Pragmatics
• Visual Narratives
• +5 more

Professor Dorit Abusch is a faculty member in the Department of Linguistics and Philosophy at Cornell University's College of Arts & Sciences. Her research focuses on semantics, pragmatics, and their applications to visual narratives. She explores topics like tense semantics, presupposition triggering, modal logic, and the interplay between language and visual media. Current work extends linguistic methodologies to analyze art forms such as comics, cave paintings, and temple sculptures. Her research interests include formal semantics applied to visual narratives, dynamic semantics, possible world theory, and multimodal discourse representation. She investigates how visual elements like sequential art and pictorial sequences convey temporal progression, aspectual distinctions, and free perception constructions through semiotic frameworks. Recent presentations include talks on applying semantics to film and picturebooks at institutions like MIT and the University of Padua. Her publications emphasize cross-media analysis, with key works published in Linguistics & Philosophy and Sinn und Bedeutung . Abusch has received grants for projects studying visual narratives in Indian art and wall paintings of Rajasthan. These include a 2012-2013 Humanities Research Grant and a Cornell Institute for Social Sciences award. Her work bridges linguistics with philosophy and visual studies, offering innovative frameworks for understanding non-linguistic communication through formal semantic tools.

Bernt SchieleView profile

Professor

• Computer Vision
• Multimodal Sensor Processing
• Machine Learning
• +3 more

Prof. Bernt Schiele is a Max Planck Director at the Max Planck Institute for Informatics and holds a Professorship at Saarland University. His research focuses on understanding multimodal sensor data, with key areas in computer vision, 3D object recognition, and machine learning. He leads the Computer Vision and Machine Learning group, addressing challenges in sensor fusion, scene understanding, and human activity recognition. Schiele has held academic roles at TU Darmstadt, ETH Zurich, and MIT, and contributes to top journals like IEEE Transactions on PAMI and conferences like ECCV. His work emphasizes robust models, interpretability, and domain adaptation for real-world applications. Education: PhD (1997, Grenoble), MSc (1994 Karlsruhe/1993 Grenoble) Key Positions: MIT (1997-2000), ETH Zurich (1999-2004), TU Darmstadt (2004-2010) Research interests span 3D scene understanding, multimodal sensor processing, and machine learning techniques for large-scale data. His recent work advances robust object detection, explainable AI, and domain-invariant training methods. He also chairs major conferences like ECCV 2018 and co-chairs ICCV 2011. Publications highlight innovations in interpretable vision transformers, certified explanations, and test-time adaptation. Despite no listed awards, his contributions shape foundational areas of computer vision and multimodal AI.

• Early Childhood Education
• Art Education
• Play-Based Learning
• +5 more

Felicity McArdle is a Professor in the Department of Early Childhood Education within the Faculty of Education at Queensland University of Technology. With a distinguished career spanning over two decades, her work centers on reimagining early childhood pedagogy through critical lenses of social justice, art education, and play-based learning. Her research has significantly influenced Australian early childhood policy and practice. McArdle's research interests demonstrate a consistent commitment to transformative education. She critically examines how art and play function as vehicles for social justice, challenging neoliberal discourses in early childhood education. Her work on refugee children's artistic expression and anti-bias curriculum development reveals her dedication to equity-oriented pedagogy. Through collaborative drawing methodologies and visual research approaches, she has pioneered innovative ways of understanding children's perspectives. Her publication trends reveal a sophisticated evolution from foundational work on visual arts in education (2001-2010) toward increasingly critical examinations of power, policy, and social justice (2011-2021). The consistent citation impact of her work—particularly her 2002 paper 'Early Childhood Art Education: A Palimpsest' with over 13,000 citations—demonstrates her field-defining contributions to reconceptualizing art education as critical praxis. McArdle has held significant editorial roles including co-editing the influential 2013 volume 'Young Children, Pedagogy and the Arts' and serving on the editorial board of Australian Journal of Early Childhood. Her collaborations with leading scholars like Susan Grieshaber, Jennifer Sumsion, and Linda Knight have produced seminal work on intentional teaching and play-based learning. Her research methodology expertise centers on visual and arts-based approaches, particularly collaborative drawing techniques that engage children as active research participants. This methodological innovation reflects her commitment to ethical research practices that honor children's agency while generating meaningful insights about early childhood experiences.

Rachel RudingerView profile

Assistant Professor

• Natural Language Processing
• Machine Learning and Data Science
• AI and Robotics
• +1 more

Rachel Rudinger is an Assistant Professor at the University of Maryland, affiliated with the Department of Computer Science and the University of Maryland Institute for Advanced Computer Studies (UMIACS). Her research focuses on Natural Language Processing (NLP), Machine Learning, and AI ethics, particularly addressing sociocultural biases and fairness in large language models (LLMs). She holds a PhD from Johns Hopkins University (2019) and a B.S. from Yale University (2013). Rudinger's work explores equitable cultural alignment in AI systems, common ground misalignment in dialog systems, and the mutual influence of gender and occupation in LLMs. She received the NSF CAREER Award in 2024 for her project on robust, fair, and culturally aware commonsense reasoning. Her recent publications investigate empathy gaps in LLMs, synthetic data effectiveness in disaster response, and bias measurement techniques across domains. As an advisor, she guides seven PhD students including Christabel Acquaye and Haozhe An. Her research spans diverse topics from legal language analysis to maternal health question answering, reflecting her commitment to interdisciplinary AI ethics. She actively contributes to workshops on commonsense representation and serves as a reviewer for top conferences in NLP and AI.

• AI for Business
• Data Science
• Responsible AI
• +5 more

David Martens is a Professor of Data Science at the University of Antwerp , where he directs the Applied Data Mining Research Group within the Faculty of Business and Economics . He also serves as Chair of the Department of Engineering Management and Director of the Antwerp Center on Responsible AI . His academic work spans data mining , interpretable machine learning , and the societal impact of AI . PhD in Applied Economic Sciences (KU Leuven, 2008) Director, Antwerp Center on Responsible AI Chair, Department of Engineering Management Martens' research focuses on responsible AI and data ethics , with applications in finance, public policy, and behavioral analysis. His recent publications emphasize counterfactual explanations , LLM interpretability , and privacy implications in AI systems. His articles reveal trends in Explainable AI (XAI) , including narrative-driven explanations , graph neural networks , and ethical challenges like monetization risks and algorithmic bias. Keywords span Computer Science , Artificial Intelligence , and Behavioral Data . Martens is a leading voice in data science ethics , authoring the book Data Science Ethics: Concepts, Techniques, and Cautionary Tales (Oxford University Press, 2022). He combines academic rigor with industry experience, having consulted for banks, telecom firms, and startups in fraud detection and digital advertising .

Susan SchreibmanView profile

Professor

• Digital Humanities
• Media Studies
• Literary Modernism
• +4 more

Susan Schreibman serves as Full Professor and Key Domain Chair of Digital Arts and Culture within the Faculty of Arts and Social Sciences at Maastricht University. She concurrently holds board positions at the National Library of Ireland and Research School Media Studies, and serves as Academic Editor for the University of Illinois Press. Her research centers on computationally-driven analysis of digital archives, cultural innovation, and participatory engagement design, with core specializations in Digital Humanities, Media Studies, Literary Modernism, and Irish Cultural Studies. She pioneers methodologies for remediating analog publication modalities into born-digital paradigms while critically examining their societal impact. Analysis of her 2022-2025 publications reveals dominant trends in 3D digital scholarship (particularly multimodal historical narratives like the Battle of Mount Street Bridge project), feminist approaches to digital humanities infrastructure, and social justice applications in archival systems. Her work consistently bridges technical innovation with cultural critique across heritage, education, and gender studies contexts. No scientific awards were documented in the source materials. Professor Schreibman leads significant research initiatives including PURE3D Contested Memories and #dariahTeach, indicating active grant-funded collaborations though specific funding sources remain unmentioned. Her editorial role for University of Illinois Press and co-edited volumes like Feminist Digital Humanities: Intersections in Practice (2025) demonstrate scholarly leadership. She directs the PURE3D project developing 3D reconstructions of historical events, contributes to the #dariahTeach digital humanities education platform, and participates in the IGNITE initiative advancing digital scholarly practices. These efforts operate within Maastricht University's Faculty of Arts and Social Sciences infrastructure with external partnerships at cultural institutions like the National Library of Ireland.

• Natural Language Processing
• Computational Linguistics
• Event Detection and Understanding
• +4 more

Teruko Mitamura is a prominent researcher at Carnegie Mellon University with over three decades of contributions to natural language processing, computational linguistics, and artificial intelligence. Her work spans from foundational research in event representation to advanced applications in multimodal systems and question answering. Her research interests focus on event detection and understanding, question answering systems, information retrieval, and multimodal processing. She has made significant contributions to event coreference resolution, timeline construction, and cross-document event analysis, developing methodologies that have become standard in the field. Her work often bridges theoretical advances with practical applications, particularly in complex information environments requiring deep semantic understanding. Natural Language Processing : Specializing in event extraction, coreference resolution, and narrative understanding with over 179 publications Question Answering Systems : Developing advanced techniques for complex question answering, particularly through NTCIR QA Lab and PoliInfo tasks Multimodal Processing : Integrating textual, visual, and temporal information for richer understanding in systems like ProMQA Evaluation Methodologies : Creating robust frameworks for assessing NLP systems through TAC KBP Event Tracks Her recent publication trends show a strong focus on leveraging large language models for event understanding, multimodal question answering, and timeline construction. She has expanded her research into specialized domains including patent analysis and novelty examination, demonstrating the breadth of her research impact across academic and practical applications. Active participant in major NLP conferences including ACL, EMNLP, NAACL, and AAAI with consistent publications Long-standing collaborator with researchers at CMU's Language Technologies Institute including Eduard H. Hovy and Eric Nyberg Contributor to shared tasks that have shaped research directions in event processing and question answering Organizer of multiple NTCIR QA Lab tasks focused on political information question answering Dr. Mitamura has mentored numerous researchers who have gone on to make their own contributions to the field, as evidenced by her extensive co-authorship network and the progression of her former students and collaborators into faculty and research positions. Her work continues to evolve with the field while maintaining her focus on deep semantic understanding of events and narratives.

Loli KimView profile

Lecturer

• Asian socio-multimodality
• Korean film analysis
• Cross-cultural communication
• +4 more

Loli Kim is a Lecturer on Modern Korea at the Faculty of Asian and Middle Eastern Studies, University of Oxford, with a Leverhulme Postdoctoral Research Fellowship (2022–2025). She specializes in cross-cultural multimodal analysis of Asian communication systems, particularly Korean cinema, folklore, and representation in media. Education: DPhil in Asian and Middle Eastern Studies (2019–2022), University of Oxford Research Focus: Multimodal discourse analysis, foodscaping theory, haenyeo women’s communication Editorial Roles: Assistant Editor of European Journal of Korean Studies; General Editor of 'Foodscaping Asia' series Her work develops the Segmented Film Discourse Representation Structures (SFDRS) methodology for analyzing Korean films' narrative conventions, including violence in revenge cinema and socio-pragmatic dimensions of fashion. She collaborates globally as a visiting lecturer and conference organizer. Kimi’s recent publications examine multimodal translation gaps, cultural representation in children’s literature, and the sociocultural implications of foodscaping. She has delivered keynote talks at institutions including Edinburgh University and SOAS, and co-organizes the Translating Squid Game talks series.