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Dennis KommView profile

Associate Professor

• Algorithm Design and Analysis
• Computer Science Education
• Theoretical Computer Science
• +3 more

Prof. Dennis Komm is an Associate Professor at ETH Zurich's Department of Computer Science, leading the group for Algorithms and Didactics. He chairs the Center for Computer Science Education (ABZ) and serves on committees such as the Swiss Maturity Board (Schweizerische Maturitätskommission) and the STEM Commission of the Swiss Academies. Previously, he held roles at RWTH Aachen University (Master's, 2008), ETH Zurich (PhD, 2012), University of Zurich (external lecturer, 2014–2020), and PH Graubünden (including department head and professor of 'Fachdidaktik Informatik'). Education: He completed a Master's in Computer Science at RWTH Aachen (2008), a PhD at ETH Zurich (2012), and studies in Information Technology at Queensland University of Technology (2006). His academic journey includes visiting roles at King's College, Stanford, and Comenius University. He has taught extensively across institutions, emphasizing Python and LOGO-based approaches for beginners. Research focuses on algorithm design, approximation algorithms, reoptimization, and advice complexity in theoretical CS. His work in education explores computational thinking, programming pedagogy (especially for K–12), and interdisciplinary approaches (e.g., robotics in math). Recent trends in his articles highlight advancements in online algorithms, optimization under dynamic conditions, and initiatives to integrate CS into Swiss school curricula sustainably. He actively promotes CS education through platforms like WebTigerPython and collaborates on projects such as CyberQuest and MINTerlink. His outreach includes organizing conferences (e.g., STIU 2025) and workshops on programming and cybersecurity for teachers and students. Despite no listed scientific awards, his contributions to education and theoretical CS are recognized through editorial roles in journals like Informatics in Education and contributions to the TigerJython Group. Grant-related advising includes co-supervising doctoral theses on robotics, USOs, and programming didactics. He advocates for equitable educational opportunities via the Passerelle exam and the Swiss Beaver Competition. His team's work spans teacher training, didactic certifications, and bridging university-school collaborations through initiatives like MINTerlink. Labs and teams: Head of ABZ (ETH's CS education center), collaborator with the Computational Robotics Lab, and part of the TigerJython Group. He also co-organizes the Colloquium on Mathematics, Computer Science, and Education with ETH's Mathematics Department.

Martin VolkView profile

Professor

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

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
• Cognitive Science
• Machine Learning
• +3 more

Lena Jäger is a Professor in the Department of Computational Linguistics at the University of Zurich (UZH). Her research focuses on the intersection of linguistics, computational cognitive science, and machine learning, particularly analyzing cognitive mechanisms underlying human language processing through experimental psycholinguistics, computational modeling, and NLP methods. She holds an MA in Chinese Language and Culture, an MSc in Experimental and Clinical Linguistics, a PhD in Cognitive Science, and a BSc in Computer Science. Prior to UZH, she led a Machine Learning Junior Research Group funded by the German Federal Ministry of Education and Research (2020) and conducted postdoctoral research at the University of Potsdam. Her work emphasizes developing machine learning methods for analyzing eye-tracking data to uncover cognitive processes reflected in eye movements. Notable contributions include creating multilingual eye-tracking corpora (e.g., MultiplEYE, PoTeC) and advancing tools like pymovements for data processing. Her research spans applications in language comprehension, biometric identification, and clinical diagnostics (e.g., ADHD detection via eye movements). Education: BA/MA: Chinese Language and Culture (University of Freiburg, Tongji University, Beijing Language and Culture University, Université Paris 7) MSc: Experimental and Clinical Linguistics (University of Potsdam) PhD: Cognitive Science (University of Potsdam) BSc: Computer Science (concurrent with PhD) Awards: Machine Learning Junior Research Group Grant (2020). Labs/Teams: Leads computational linguistics and machine learning research groups at UZH, collaborating on projects like ScanDL and CoLAGaze. Her recent work bridges AI and cognitive science, exploring how language models emulate human reading behaviors and developing frameworks for ethical AI applications. Ongoing projects include improving fairness in biometric identification systems and analyzing individual differences in reading through synthetic data.

Grzegorz ChrupałaView profile

Associate Professor

• Computational Linguistics
• Artificial Intelligence
• Cognitive Science
• +3 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
• Natural Language Processing
• Natural Language Generation
• +5 more

Leo Wanner is a prominent Professor at Universitat Pompeu Fabra's Department of Information and Communication Technologies, specializing in Natural Language Processing. With a research career spanning over three decades, he has made significant contributions to computational linguistics, particularly in natural language generation, collocations, and hate speech detection. He has served as editor for multiple editions of the International Conference on Computational Linguistics (COLING) including the 2025 edition. Wanner's research interests encompass a wide range of topics in computational linguistics, with recent work focusing on hate speech detection, multilingual processing, and the capabilities of large language models. His work bridges theoretical linguistics with practical applications, addressing challenges in lexical semantics, syntax, and discourse analysis. Notably, he has pioneered research in collocation processing and has contributed to the development of frameworks for analyzing thematic progression in texts. His publication record demonstrates consistent productivity with significant contributions across multiple subfields. Recent work shows a strong focus on contemporary challenges in NLP, particularly hate speech detection and the capabilities of large language models. His research often takes a multilingual perspective, addressing challenges across different language families including Romance and Slavic languages. Wanner has led significant research projects including the development of FORGe, a multilingual deep sentence generator based on the Meaning-Text Theory, which achieved top performance in the WebNLG challenge. His work on multilingual surface realization has established important benchmarks in the field through shared tasks that have engaged researchers worldwide. As an academic leader, Wanner has mentored numerous researchers and contributed to building research infrastructure through corpus development and annotation schema design. His work on collocation resources, thematic progression analysis, and hate speech detection frameworks has provided valuable resources for the broader NLP community.

Anne-Lise GiraudView profile

Professor

• Neural Bases of Language
• Speech Processing
• Vocal Communication
• +6 more

Anne-Lise Giraud is a Professor and Group Leader at the Faculty of Medicine, University of Geneva, where she directs a research laboratory focused on the neural mechanisms underlying language and vocal communication. Her work bridges experimental neurophysiology, computational neuroscience, and clinical applications for language disorders. Her research interests encompass: Neural bases of speech and language processing Audio-visual integration in communication Brain-Computer Interfaces for speech communication Neural mechanisms of language disorders (dyslexia, autism, aphasia) Computational modeling of speech processing Comparative studies of vocal communication across species Dr. Giraud's recent publications demonstrate a sophisticated integration of multiple neuroimaging techniques (EEG, fMRI, MEG) with computational approaches to understand both typical and atypical speech processing. A notable trend in her work is the emphasis on neural oscillations as fundamental mechanisms for speech perception, with applications ranging from understanding autism spectrum disorders to developing brain-computer interfaces for communication-impaired individuals. Her research increasingly explores cross-species communication mechanisms, as evidenced by her recent work on dog-human vocal interactions. Her laboratory at Campus Biotech includes multiple graduate students, postdocs, and research assistants working collaboratively on various aspects of language neuroscience.

Lonneke van der PlasView profile

Associate Professor

• Cross-lingual NLP
• Computational Semantics
• Computational Creativity
• +4 more

Prof. Lonneke van der Plas is an Associate Professor in Natural Language Processing (NLP) at the University of Lugano (USI) since October 2024. She leads the Computation, Cognition & Language group at Idiap Research Institute (since 2021) and holds adjunct roles in USI's Faculty of Informatics. Previously, she was an Associate Professor at the University of Malta (2014–2020) and Junior Professor at the University of Stuttgart (SFB 732). She earned her PhD in Humanities Computing from the University of Groningen and an M.Phil in Computer Speech and Language Processing from the University of Cambridge. Her research focuses on cross-lingual NLP, computational creativity, and low-resource languages. Key projects include the NCCR Evolving Language (Swiss National Science Foundation, 2024–2028), C-LING (computational models of creativity), and SEM24 (multilingual skill extraction for HR). She has supervised multiple PhD students and postdocs, including notable advisees such as Molly Petersen and Mete Ismayilzada. Her work spans theoretical linguistics and applied NLP, with collaborations in cognitive science, finance, and healthcare. Awards include the ELSI Best Paper Award (2020) for work on societal impacts of AI ethics. Current initiatives include open PhD positions in NLP for cognitive modeling and mental health applications. Education: PhD (University of Groningen), M.Phil (University of Cambridge) Key Projects: NCCR Evolving Language, C-LING, SEM24, LT-BRIDGE Grants: SNSF, Innosuisse, Hasler Foundation Lab/Team: Computation, Cognition & Language Group at Idiap

Pascal Mark GygaxView profile

Researcher

• Psycholinguistics
• Gender Studies
• Experimental Linguistics
• +4 more

Pascal Mark Gygax is a faculty member at the University of Fribourg , specifically within the Faculty of Philosophy under the Department of Psychology . His academic career spans psycholinguistics, cognitive psychology, and gender studies, focusing extensively on how language structures influence gender perceptions and cognitive biases. With a research profile marked by experimental methodologies, Gygax has published 64 works, including a 2021 book Does the Brain Think Masculine? that critically examines the psycholinguistic impacts of gender-fair language reforms. Role: Researcher at Department of Psychology, University of Fribourg Key Collaborations: Sandrine Zufferey, Ute Gabriel, Anton Öttl Research Focus: Gygax investigates the cognitive mechanisms behind gender representation in language, particularly how grammatical gender systems (e.g., French, German) perpetuate male-dominated mental models. His work explores: Experimental validation of gender-neutral pronouns Discourse connective processing across age groups Impact of language reform on occupational stereotypes Cross-linguistic comparisons of gender perception Implicit bias in performance evaluation (e.g., magic tricks) Recent Publications (2023-2025) demonstrate methodological rigor in studying: Neological intuition in Romance languages Temporal focus and spatial cognition Connective mastery in L2 contexts Participant variability in experimental linguistics Gender ratio norms across global languages Pragmatic constraints on causal connectives Scientific Contributions: While no explicit awards are listed, Gygax's work has significantly advanced: Development of experimental paradigms for gender perception studies Creation of multilingual datasets on role noun norms Validation of facial feedback mechanisms through collaborative research Understanding of discourse coherence in educational contexts Advising & Collaborations: Though specific students aren't named, Gygax collaborates with: Development of the Routledge Handbook of Experimental Linguistics Leadership in SNSF-funded projects Contributions to debates on inclusive language policies

Jean-Cédric ChappelierView profile

Senior Lecturer

• Computational Linguistics
• Natural Language Processing
• Machine Learning
• +3 more

Jean-Cédric Chappelier is a Senior Lecturer and Researcher at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences. He works in computational linguistics and natural language processing, with a focus on robust parsing techniques, semantic indexing, and clustering algorithms. His research interests span computational linguistics, natural language processing, machine learning, tree substitution grammars, and semantic indexing. His publications from 2000-2006 demonstrate expertise in stochastic parsing, ontology-based indexing, and community structure analysis in complex networks. He has supervised multiple EPFL PhD students including Florian Seydoux and Emmanuel Eckard. Jean-Cédric holds an Ms.Sci. and Ph.D. in Computer Science from École Nationale Supérieure des Télécommunications de Paris. He teaches courses on object-oriented programming, computer systems, and natural language processing at EPFL.

Juan Luis GastaldiView profile

Lecturer

• Philosophy of Science
• History of Mathematics
• Formal Logic
• +4 more

Juan Luis Gastaldi is a Lecturer in the Department of Computer Science at ETH Zurich and Marie Skłodowska-Curie Fellow at the Chair of History and Philosophy of Mathematical Sciences (D-GESS). He serves as Managing Director of the Turing Center at ETH Zurich and is an external associate researcher at the SPHERE laboratory (Université de Paris). His work bridges philosophy, history, and formal sciences, focusing on the formalization of meaning in mathematics, logic, and computer science from the 19th century to the present. Education includes a PhD in Philosophy from the University of Bordeaux (2014), studies at the École Normale Supérieure in Paris, and degrees in Mathematics and Political Sciences. Key research areas include the history of formal logic, semiotics of mathematics, and computational linguistics. He leads the H2020-funded SemioMaths project exploring automated analysis of mathematical corpora using grammatical inference techniques. Notable awards include the Marie Skłodowska-Curie Fellowship (2019-2022) and a Research Fellowship at Akademie Schloss Solitude (2011-2012). His recent work spans interdisciplinary projects like the 'Semiomaths' workshop series and edited volumes on computing cultures and mathematical practice. Current projects address the philosophical implications of neural machine learning in mathematics and the structuralist foundations of computational linguistics.

Anne GöhringView profile

Researcher

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

Giuseppe SamoView profile

Associate Professor

• Quantitative Linguistics
• Computational Linguistics
• Syntactic Cartography
• +12 more

Giuseppe Samo is an Associate Professor in Linguistics at Beijing Language and Culture University and a Research Associate at the University of Geneva's Centre Universitaire d’Informatique. He is affiliated with the University of Geneva's Faculty of Letters and the IDIAP research center. His work bridges quantitative computational syntax with syntactic cartography , focusing on V2 phenomena and toponym analysis. His research interests include syntactic structure modeling , machine learning applications in linguistics , and game-based research methodologies . He specializes in language variation , computational analysis of linguistic data , and digital humanities , particularly examining urbanonym semantics and multilingual corpora . Recent publications demonstrate trends in computational syntax (7/15), toponymic studies (4/15), and language technology (4/15). Key methodologies involve quantitative analysis of syntactic locality, cross-linguistic comparisons , and synthetic dataset creation for testing large language models. He leads the research project 'Encoding syntactic structures as vectorial representations for deep learning' (funded by Beijing Language and Culture University, #20YBB06). His collaborative work spans institutions in Switzerland, Italy, and China , with notable contributions to diachronic syntax and epigraphic data encoding .

• Sentence Production
• Writing Process Analysis
• Digital Literacy
• +4 more

Dr. Malgorzata Anna Ulasik is a researcher at Zurich University of Applied Sciences (ZHAW) specializing in sentence production analysis, digital literacy, and computational writing process research. Her work bridges linguistic theory with technological implementations through projects like THETool (Text History Extraction Tool) and SPPC (Swiss Process-Product Corpus). Key affiliations: Zurich University of Applied Sciences, University of Antwerp collaborations, SwissText conferences Research focus: sentence-centric writing models, keystroke logging analysis, automated feedback systems for academic writing Her methodological innovations include: Transforming sequences for tracking text evolution Sentence history reconstruction from intermediate drafts Integrated analysis of writing processes and final products Corpus development for speech recognition (CEASR, SDS-200) Technical contributions include: THETool implementation for writing process analysis Annotation frameworks using INCEpTION Semi-automated feedback systems for thesis writing Swiss German dialect translation models

• Neuroscience
• Cognitive Science
• Psychology
• +4 more

Juliane Britz is a Lecturer at the Department of Psychology, Faculty of Letters and Human Sciences, University of Fribourg. Her research focuses on the interplay between brain and body in conscious awareness, particularly through EEG microstate analysis and multimodal investigations of interoceptive signals. Current project: BBC - Brain, Body and Consciousness (2019-2025) examining how bodily rhythms (heartbeat/respiration) interact with brain activity in perceptual awareness. Key methodologies: Simultaneous EEG-ECG-respiration recording, source reconstruction, network dynamics modeling. Research Focus Her work bridges cognitive neuroscience and physiological psychology, exploring: Temporal organization of EEG microstates in health and neurological disorders Brain-body interactions in sensory threshold perception Embodied semantics in language processing Neural dynamics during propofol-induced unconsciousness Publication Trends Recent articles reveal a trajectory from basic neural dynamics (2008-2011) to translational applications in schizophrenia vulnerability markers (2014) and anesthesia research (2022), culminating in current investigations of interoceptive influences on consciousness (2024). Contact Email: juliane.britz@unifr.ch Office: RM 01 bu. C-4.110, University of Fribourg

Touradj EbrahimiView profile

Professor

• Image and Video Compression
• Media Security
• Multimedia Signal Processing
• +5 more

Touradj Ebrahimi is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he heads the Multimedia Signal Processing Group (MMSPG) within the School of Engineering's Institute of Electrical Engineering. He holds a Ph.D. in Electrical Engineering from EPFL and serves as the Convenor of the JPEG standardization committee. His research spans AI-powered imaging, multimedia signal processing, and media security. Research Interests: Professor Ebrahimi's work focuses on next-generation image/video compression (including JPEG AI and DNA-based storage), quality of experience in immersive media, trustworthy media authentication (JPEG Trust), and explainable AI for biometric systems. His group pioneers methods for point cloud compression, deepfake detection, and privacy-preserving multimedia. Publication Trends: Recent articles emphasize AI-driven compression standards, quality assessment for emerging media (point clouds, HDR), and explainability in computer vision. Key themes include JPEG AI standardization, DNA storage for visual data, and robustness evaluation of deepfake detectors. Awards & Honors: IEEE Star Innovator Award in Multimedia IEEE and Swiss National ASE Awards ISO Certificates for MPEG-4/JPEG 2000 contributions Best Paper Award (IEEE Trans. Consumer Electronics) Fellow of IEEE and SPIE Leadership: He founded RayShaper SA, Genista SA, and Emitall SA. Represents Switzerland in ISO/IEC JTC1/SC29 and ITU, advising European Commission initiatives and venture capital firms on multimedia technologies. Facilities: Leads the MMSPG lab at EPFL, focusing on intelligent multimedia systems. The group collaborates globally on standardization (JPEG, MPEG) and EU projects.