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Lior Wolf is a Professor at the School of Computer Science, Tel Aviv University. Previously, he was a postdoctoral researcher at MIT's Center for Biological and Computational Learning (CBCL) under Prof. Tomaso Poggio and earned his PhD from Hebrew University of Jerusalem with Prof. Amnon Shashua. His educational background includes: PhD in Computer Science, Hebrew University of Jerusalem Postdoctoral Research, MIT CBCL Prof. Wolf's research centers on artificial intelligence with seminal contributions to deep learning, computer vision, and natural language processing. His work bridges theoretical foundations (e.g., attention mechanisms, transformer analysis) with practical applications in medical imaging, speech processing, and sign language technology. He pioneered methods for neural network interpretability, efficient sequence modeling, and multimodal fusion. Analysis of his 2023-2025 publications reveals dominant trends in large language model optimization (neuron pruning, attention analysis), efficient video generation, and cross-modal learning. His work increasingly integrates medical applications (fMRI/EEG analysis) while maintaining theoretical rigor in model architecture design. His scientific achievements include: Best paper award at EMNLP 2024 for 'Backward Lens: Projecting Language Model Gradients into the Vocabulary Space' Best paper award at SCIA 2023 for 'Gradient Adjusting Networks for Domain Inversion' Best paper award at FG 2021 for 'Generating Master Faces for Dictionary Attacks' Prof. Wolf mentors graduate students in the School of Computer Science and leads research at the ICRC building laboratory. His team collaborates with 'the friends of TAU' on projects spanning biometric security, medical imaging, and generative AI. Current work focuses on efficient transformers, neural network interpretability, and multimodal medical diagnostics.

• Artificial Intelligence
• Deep Learning
• Computer Vision
• +5 more

April Yi Wang is a tenure-track Assistant Professor in the Department of Computer Science at ETH Zürich, where she directs the Programming, Education, and Computer-Human Interaction Lab (PEACH Lab). She is a core faculty member at the Institute for Intelligent Interactive Systems and associated with the ETH AI Center. Wang is also an active member of ETH HCI and Swiss CHI communities, contributing significantly to human-computer interaction and educational technology research. Dr. Wang's educational background includes: Ph.D. in Information Science from University of Michigan (2023), advised by Steve Oney and Christopher Brooks M.Sc. in Computer Science from Simon Fraser University (2018), advised by Parmit Chilana B.Eng in Computer Science from Zhejiang University (2016) Dr. Wang's research focuses on human-centered approaches to programming and data science. Her work reimagines programming as a form of literature that communicates with both machines and people, exploring creative representations like text, shapes, animations, and everyday objects. She investigates how to make programming more natural and intuitive through literate programming environments, with applications in professional and educational contexts. Her research spans human-computer interaction, educational technology, and AI-assisted programming tools. Analysis of Dr. Wang's recent publications reveals a strong focus on AI-enhanced educational tools, particularly for programming and data literacy. Her work increasingly integrates large language models to scaffold learning while maintaining user agency. There's a clear trajectory toward developing situated learning approaches that connect abstract concepts to real-world contexts through augmented reality and tangible interfaces. Her research bridges HCI, education, and AI to create more accessible and engaging technical learning experiences. Dr. Wang has received numerous prestigious awards including: 2023 Gary M. Olson Award and Honourable Mention Award at ACM CHI 2022 Rising Stars in EECS and Heidelberg Laureate Forum Young Researcher 2020 Best Short Paper Award at IEEE VL/HCC and Honourable Mention at ACM CHI 2019 Best Paper Award at ACM CSCW Dr. Wang actively mentors students through thesis projects at ETH Zürich, supervising numerous bachelor's and master's students on topics ranging from AI-assisted programming to data literacy tools. Her lab, PEACH Lab, has secured funding including the recent innovedum funding for the Coducate project. She serves on program committees for major conferences including CHI and UIST, and regularly reviews for top HCI and education journals. The PEACH Lab, directed by Dr. Wang, focuses on creating expressive, intelligent, and human-centered systems that make technical topics more accessible. The lab explores textual, visual, and embodied representations for programming, with emphasis on enhancing communication, collaboration, and learning. Current research directions include balancing automation with user agency, supporting diverse learning needs, and developing tools for interdisciplinary technical communication.

• Human-Computer Interaction
• Educational Technology
• Programming Support
• +4 more

Sarah Ebling is a Full Professor of Language, Technology and Accessibility at the University of Zurich's Faculty of Arts and Social Sciences. She leads the Language, Technology and Accessibility research group within the Institute for Computational Linguistics. Her work focuses on computational linguistics applications for assistive technologies targeting disabilities such as hearing impairments, visual impairments, and cognitive disorders. Key areas include sign language technologies, automatic text simplification, and audio description systems. She directs the large-scale Swiss innovation project 'Inclusive Information and Communication Technologies' (2022-2026, CHF12 million budget) and collaborates on EU H2020 and SNSF Sinergia projects. Education: Holds a doctoral degree (summa cum laude, 2016) from the University of Zurich with research on automatic translation to Swiss German Sign Language. Completed studies in German Linguistics, Computational Linguistics, and English Linguistics at Universities of Zurich and Heidelberg, with research stays in Dublin, Chicago, and Rochester. Research emphasizes multimodal accessibility solutions, including sign language fluency assessment, gesture-based interaction, and AI-driven text adaptation. Current projects explore audio description translation systems (SwissADT), sign language corpus development (SwissSLi), and digital tools for comprehensibility assessment in simplified texts. Her work bridges computational linguistics with ethical considerations in assistive technology deployment. Grants and Leadership: Principal Investigator on major accessibility-focused grants, including the CHF12M Swiss innovation project. Supervises PhD candidates in areas like sign language assessment tools and text simplification algorithms. Active in international collaborations, publishing extensively in computational linguistics and accessibility journals/conferences. Technology Development: Created the 'DigiSpon' benchmark for language sample analysis and developed open-source tools for sign language translation baselines. Her team's innovations include the SignCLIP model connecting text and sign language via contrastive learning, and pose estimation frameworks for sign language recognition.

• Computational Linguistics
• Assistive Technologies
• Sign Language Technologies
• +7 more

Laurent Matthey is an Associate Professor at the University of Geneva's Department of Geography and Environment since 2014. He directs the Urban Planning orientation of the joint UNIGE-HES-SO Master's in Territorial Development and co-directs the UNIGE-EPFL MAS in Urban Planning. His work bridges ethnography and literary studies, examining political issues in urban narrative production through sensitive registers and attentional regimes. Current affiliations: CRESSON team (UMR AAU) since 2023 Active in EspaceSuisse committee and RAMAU network management Research focuses on epistemology of urban planning knowledge , organized into two streams: Planning discourses and narrative studies Ethnography of urban projects His research-creation explores intersections between: Communication and urban planning Fiction and urban planning Narrative and sensitive methods Urban social quality Current projects include "Participez! Neighborhood makers" (FNS Division 1 funding) and completed works like "The narrative making of the city" (FNS-COST 18126) and "Developing housing cooperatives in Greater Geneva" (Interreg V France-Switzerland). He has supervised doctoral students in Geneva, including Hugo Campi ("Flowers to Convince"), Nicole Peccoud ("Social emergency in Geneva"), and Morgane Rudaz ("Feminist collages"). Key scientific contributions appear in GeoHumanities , Planning Theory , and Social Inclusion , with recent emphasis on: AI's role in urban narrative (2024) Decolonial planning approaches (2023) Affective urbanism (2018) Teaching encompasses: Urban geography and ecology (T206059 BGEO) Research-creation seminar (T416007 MDT) Creative methods in metropolitan foresight Professional engagements include urban quality studies for Geneva's Urban Planning Office and Lausanne's Roads Department. He has co-authored foundational texts on Swiss urbanism with Christophe Mager and David Gaillard, exploring topics like "Urbanism fictionnel" (2011) and "Being an urban planner" (2016).

• Urban Planning
• Ethnography
• Literary Studies
• +4 more

Annette Rios is a Researcher at the University of Zurich within the Language, Technology and Accessibility group. Her work focuses on machine translation , text simplification , and sign language translation , particularly for multilingual and indigenous language contexts. Research highlights include contributions to the European EASIER project on sign language translation, the ZurichNLP consortium, and the development of tools for emotion detection and gender bias reduction in NLP systems. She has published extensively in top-tier venues like ACL and WMT, with a focus on multimodal translation and German language processing . Developed emotion_detection GitHub repository for German emotion analysis Contributed to ContraPro and ContraWSD projects on translation evaluation Created datasets for German text simplification and emotion detection Her publications reveal a strong emphasis on machine translation (7/15 recent works), sign language technology (3/15), and text simplification (2/15). While no formal advising is documented in the provided text, she has mentored GitHub contributors to her repositories. Current research directions include improving multimodal translation systems and expanding emotion detection capabilities beyond English.

• Machine Translation
• Text Simplification
• Multimodal Processing
• +5 more

Grzegorz Chrupała is an Associate Professor at the Department of Cognitive Science and Artificial Intelligence , Tilburg University, where he leads research in computational approaches to multimodal communication. Previously, he was a postdoctoral researcher at Saarland University's Spoken Language Systems group and earned his PhD from Dublin City University's School of Computing. His research bridges biological and artificial computation , focusing on enabling machines to learn language from multimodal data (speech, gestures, visual-auditory stimuli) as children do naturally. This involves developing and interpreting deep learning architectures, analyzing emergent representations, and advancing speech technology for under-resourced languages. Key themes include Visually grounded speech modeling Feature attribution and model interpretability Human-inspired learning paradigms BlackboxNLP workshop leadership His recent publications examine speech model reliability , lexical tone encoding , and contextual dependencies in NLP systems. He mentors a team of PhD candidates and alumni working on topics like user-centric interpretability, bioacoustics, and disentangled speech representations. He also serves on the board of the Dutch Open Speech Technology Foundation, chairs Interspeech 2025 tutorials, and contributes as an Action Editor for TACL.

• Computational Linguistics
• Artificial Intelligence
• Cognitive Science
• +3 more

Rafael Pereira Pires is a Lecturer and researcher at École polytechnique fédérale de Lausanne (EPFL) , affiliated with the Scalable Computing Systems Laboratory (SACS) and IC-SIN units. His research focuses on systems solutions at the intersection of privacy, efficiency, and machine learning in distributed environments. Education PhD in Computer Science (2019, University of Neuchâtel, Switzerland) Professional Master in Mechatronics (2014, IFSC, Brazil) Master in Computer Science (2009, UFSC, Brazil) His work explores privacy-preserving decentralized learning , trusted execution environments , and resource-efficient distributed systems . Recent publications address techniques like model fragmentation, approximate caching, and secure aggregation in decentralized learning contexts. Key trends in his 2023-2025 publications include: Advancements in federated learning and Mixture-of-Experts (MoE) models Applications of Trusted Execution Environments (SGX) to decentralized systems Optimization techniques for energy-aware and low-cost learning Scientific recognition includes the 2019 Léon Du Pasquier et Louis Perrier award for his PhD thesis. He has contributed to open-source tools like DecentralizePy and served as reviewer/PC member for top conferences including NeurIPS , Middleware , and ICDCS .

• Distributed Systems
• Machine Learning
• Privacy-Preserving Technologies
• +3 more

Anne Göhring is an Academic Associate at the University of Zurich, working within the Language, Technology and Accessibility research team at the Institute of Computational Linguistics. With over a decade of experience in computational linguistics and natural language processing, she has established herself as a specialist in machine translation, sign language processing, and German language analysis. Her work bridges theoretical linguistics with practical applications, particularly focusing on accessibility technologies and resource-poor languages. Her educational background includes: 2001-2010: Studies in Spanish Linguistics and Literature, Computational Linguistics 2006-2007: Erasmus study year at Universidad Complutense Madrid Dr. Göhring's research spans multiple domains of computational linguistics with a strong emphasis on practical applications. She has made significant contributions to machine translation systems, particularly for hybrid approaches and low-resource languages like Quechua. Her recent work has increasingly focused on sign language processing, developing corpora and translation systems to improve accessibility. She also conducts important research in semantic role labeling, sentiment analysis, and German language processing, with applications ranging from social media analysis to veterinary text mining. Analysis of her recent publications reveals a clear trajectory toward accessibility-focused NLP research, particularly in sign language technologies. While maintaining expertise in German language processing and machine translation, her 2023-2024 work shows a strong emphasis on sign language corpora development (SwissSLi) and pose-based identification systems. Earlier work focused more on semantic analysis, sentiment detection, and cross-lingual processing, demonstrating remarkable versatility across NLP subfields. Dr. Göhring has been actively involved in numerous research projects: 2011-2014: SNSF project SQUOIA on Hybrid Machine Translation 2015: CTI project SentiSpider on expectation-based sentiment analysis 2016-2018: What's up, Switzerland? corpus project 2018-2022: Sentiment inference research 2021-2024: NCCR Evolving Language Project: IMAGINE 2022-2026: Flagship IICT Throughout her career, Dr. Göhring has supervised numerous student projects and taught courses ranging from introductory computational linguistics to specialized seminars on machine translation and NLP for medicine. Her teaching portfolio demonstrates commitment to both foundational knowledge and cutting-edge applications in the field. She is an active member of the Language, Technology and Accessibility research group at the University of Zurich, collaborating extensively with researchers like Manfred Klenner, Sarah Ebling, and Martin Volk on diverse NLP challenges.

• Computational Linguistics
• Natural Language Processing
• Machine Translation
• +5 more

Pierrette Bouillon is affiliated with the University of Geneva as a researcher, focusing on machine translation, accessible communication, and language technology applications in healthcare. Her work bridges computational linguistics, speech processing, and inclusive design. Institution: University of Geneva Research Focus: Medical translation, sign language processing, text/pictograph translation Research Interests : Bouillon specializes in machine translation and computational linguistics , with particular emphasis on: Accessible communication for patients with language barriers Sign language and pictograph translation systems (e.g., BabelDr) Speech-to-speech translation in emergency settings Text simplification for intellectual disabilities Historical French normalization for NLP Multilingual speech recognition and post-editing Article Trends : Her recent publications highlight the integration of large language models with accessibility tools in healthcare, focusing on Swiss French sign language corpora , pictograph sequences , and spontaneous speech simplification . Work spans both NLP and human-computer interaction in medical contexts. Education and Teaching : While specific educational details are omitted, Bouillon contributes to translation pedagogy through tools like COPECO and MT3 , integrating speech technologies into post-editing workflows.

• Machine Translation
• Natural Language Processing
• Computational Linguistics
• +7 more

Alessia Battisti is a Researcher and Ph.D. candidate at the University of Zurich , Faculty of Arts, affiliated with the Language, Technology and Accessibility Group . Her research focuses on sign language technology, accessibility, and natural language processing, particularly in the context of Swiss German Sign Language. She has contributed to projects like SMILE-II (funded by an SNF Sinergia grant) and the Flagship IICT . Battisti is actively involved in academic communities as the student representative on the board of the Special Interest Group on Speech and Language Processing for Assistive Technologies (SIG-SLPAT). Research Interests include: Swiss German Sign Language assessment and learning Automated readability and text simplification Sign language annotation and feedback systems Human motion modeling for sign language analysis Multilingual dataset curation and quality evaluation Recent Publications highlight her work in sign language fluency scales, automated annotation, and German text simplification frameworks. She collaborates on international initiatives like the First WMT Shared Task on Sign Language Translation . Grants include the SNF Sinergia grant supporting the SMILE-II project. Her work intersects computational linguistics , accessibility research , and machine learning to advance sign language and simplified text technologies. Labs/Teams : Language, Technology and Accessibility Group at the University of Zurich; SIG-SLPAT Special Interest Group.

• Sign Language Technology
• Accessibility
• Natural Language Processing
• +3 more

Dr. Roberto Caldara is a Full Professor in the Department of Psychology at the University of Fribourg . His research focuses on cultural influences in face processing , neural mechanisms of facial emotion recognition , and cross-cultural visual cognition . He leads two major research projects: Faces in motion (2022-2026) investigating dynamic facial expression decoding, and The Speed of Race (completed 2020-2025) examining race categorization dynamics. Key methodologies: Eye-tracking, EEG, fMRI, and computational modeling Major findings: Cultural modulation of face processing, Other-Race Effect, Saccadic reaction time differences Research Trends Recent publications (2022-2025) reveal three dominant themes: Neural Dynamics : Investigating face processing in prosopagnosia patients using electrophysiology Cultural Biases : Cross-cultural comparisons of visual strategies in emotion recognition Methodological Innovation : Development of statistical toolboxes like iMap4 for eye movement analysis Scientific Impact His work has significant implications: Challenging universality of facial expression recognition Revealing neural markers for face processing expertise Developing standardized face matching tests Creating assistive technologies (iKnowU glasses) for clinical populations

• Face Processing
• Cultural Neuroscience
• Visual Cognition
• +3 more

Johanna Gerlach is a Professor at the Faculty of Translation and Interpretation at the University of Geneva, affiliated with the TIM/ISSCO research group. With an extensive publication record spanning from 2010 to 2025, she has established herself as a leading researcher in the field of medical translation technology and accessible healthcare communication. Her research focuses on developing innovative translation systems that bridge communication gaps in medical settings, particularly through her work on the BabelDr platform and PROPICTO project. Dr. Gerlach's work spans multiple dimensions of accessible communication including speech-to-pictograph translation systems, sign language production for healthcare, and multilingual medical communication solutions for emergency departments. Her research demonstrates a strong commitment to improving healthcare accessibility for non-native speakers and people with communication difficulties. Analysis of her recent publications (2023-2025) reveals a clear trend toward practical implementation of translation technologies in real-world healthcare settings, with particular emphasis on emergency medicine contexts. Her work integrates computational linguistics, machine learning, and human-centered design to create accessible communication tools that address critical gaps in multilingual healthcare delivery. The research spans both contemporary medical communication challenges and historical text processing applications. Dr. Gerlach has supervised 3 academic works and maintains an active research program with numerous ongoing projects including UNI-ACCESS (focusing on web accessibility for higher education institutions) and PASSAGE (addressing Swiss German TV content subtitling). Her collaborations span multiple disciplines including medical informatics, computational linguistics, and accessibility studies.

• Medical Translation
• Speech-to-Sign Translation
• Pictograph Communication Systems
• +7 more

David Bastien is affiliated with the University of Geneva's Faculty of Translation and Interpretation under the Department of Multilingual Information Processing . His work focuses on developing translation technologies for sign language accessibility in healthcare and higher education. Research in sign language avatars and web accessibility Contributions to Swiss healthcare communication standards Projects: BabelDr (medical speech-to-sign), SigLa (animation platform) His publications span 2017–2024, emphasizing inclusive technology, avatar-driven translation, and medical dialogue systems. He has not received formal awards or supervised students.

• Natural Language Processing
• Accessibility Technologies
• Sign Language Technology
• +3 more

Irene Strasly is a researcher affiliated with the School of Translation and Interpretation at the University of Geneva, specializing in sign language accessibility and medical translation technology. Her work focuses on developing speech-to-sign translation tools like BabelDr and SigLa to improve healthcare communication for deaf populations. Research interests include: Sign language technology development Medical terminology standardization Inclusive communication systems Cross-cultural adaptation of health surveys Human-computer interaction for accessibility Policy implementation in higher education Recent publications demonstrate expertise in: Machine learning for medical translation Deaf community engagement Web accessibility frameworks Terminology development Clinical workflow integration Language policy analysis

• Translation Studies
• Sign Language Accessibility
• Medical Translation Technology
• +4 more

Prof. Martin Lengwiler is a Professor of Modern General History and currently serves as the Dean of the Faculty of Humanities at the University of Basel. He holds positions at the Department of History within the Faculty of Humanities. His research focuses on modern European history, welfare state development, social policy, and the history of insurance and science. Key projects include studies on social protection, demographic change, and Argentine public health in a transnational context. He has authored and edited numerous publications, including Auf dem Weg ins Jetzt. Seit 1960 (2025) and works on global history, disability studies, and health economics. Education: Doctorate in History Research Interests: 20th-century urban history, global welfare systems, insurance economics, and the cultural history of Basel. His recent articles address topics such as Sino-German arms trade, child welfare norms, and the intersection of health and finance. As dean, he oversees academic and administrative affairs in the Faculty of Humanities.

• Modern European History
• Welfare State History
• Social Policy
• +4 more