جستجوی استاد راهنمای دانشگاهی

Melanie Röthlisbergerمشاهده پروفایل

پژوهشگر

• Open Science
• Linguistics
• Corpus Linguistics
• +۳ مورد دیگر

Dr. Melanie Röthlisberger is an academic librarian at the University Library Zurich, specializing in Open Science Services (OSS). She holds a PhD in Linguistics from KU Leuven and previously served as Senior Research and Teaching Associate at the University of Zurich's English Department. Her work focuses on Open Access, Open Data practices, and promoting Open Science through educational initiatives such as the UZH Open Science game. She has led an SNSF-funded research project and organizes events like the OSIP 2019 workshop and UZH Summer School sessions on Open Science identifiers and publishing in the humanities. Her research spans syntactic variation, dialectology, and World Englishes, with notable contributions to studies on the dative alternation and ethnolectal features in Swiss German-speaking children. Dr. Röthlisberger collaborates on interdisciplinary projects, including the actionuni Open Science workshop and Biointerfaces International Conference presentations. Her teaching emphasizes reproducibility, transparency, and ethical research practices. She actively participates in the Digital Society Initiative's Education and Ethics communities, reflecting her commitment to advancing scholarly communication and linguistic diversity.

Teodora Vukovicمشاهده پروفایل

پژوهشگر ارشد

• Computational Linguistics
• Multimodal Analysis
• Human-Computer Interaction
• +۵ مورد دیگر

Dr. Teodora Vuković is a computational linguist at the University of Zurich's Faculty of Arts, specializing in multimodal analysis of human interaction and language technology. As Principal Investigator of the CAPIRE and LCP projects, she leads development of automatic tools for analyzing speech, gestures, and facial expressions to identify person-specific patterns while implementing data anonymization techniques.

• Italian Linguistics
• Text Linguistics
• Syntax
• +۳ مورد دیگر

Wendy Diepgrond is a Research Fellow at the Department of Italian Studies (Sprach- und Literaturwissenschaften) within the Faculty of Philosophy and History at the University of Basel. She specializes in Italian linguistics, with a focus on text linguistics, syntax, and pragmatic analysis. University of Basel, Switzerland Department of Italian Studies Research Fellow Her research interests include: Text Linguistics Italian Syntax Discourse Analysis Pragmatics Her recent publications in the Dictionary of Text Linguistics for Use in the Human Sciences (2024) explore focusing structures and ellipsis mechanisms in Italian discourse. These works align with broader interests in linguistic processing and historical language evolution. Contact: wendy.diepgrond@unibas.ch

Jacques Duparcمشاهده پروفایل

استاد مدعو

• Set Theory
• Mathematical Logic
• Foundations of Mathematics

Jacques Duparc is an Adjunct Professor at EPFL specializing in teaching advanced mathematical concepts. His courses cover foundational topics including Set Theory as a foundational system for mathematics, mathematical logic focusing on first-order logic and syntax-semantics relations, and Gödel's incompleteness theorems. His research explores the theoretical underpinnings of mathematical systems and their computational implications.

James Hendersonمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

James Henderson is a Senior Researcher at Idiap Research Institute where he heads the Natural Language Understanding group. He currently serves as Action Editor for Transactions of the Association for Computational Linguistics (TACL) and was recently awarded an ERC Advanced Grant for his project 'Interpretable Beliefs and Programmable Knowledge with Bayesian Attention in Large Language Models' (BALM). Previously, Henderson held positions as Chargé de Cours at University of Geneva's Department of Computer Science and Principal Scientist at Xerox Research Centre Europe (now Naver Labs Europe). Henderson's research focuses on machine learning methods for natural language processing, with pioneering work on recurrent neural networks for syntactic and semantic parsing. His current investigations include representation learning for language semantics, graph-to-graph deep learning models, entity induction, and variational-Bayesian attention-based representation learning. His research bridges Bayesian inference, transformer architectures, and structured prediction for NLP tasks. His publication portfolio demonstrates consistent contributions to core NLP methodologies, with recent emphasis on transformer optimization, Bayesian neural methods, efficient model architectures, and graph-based language representations. Research frequently appears in top venues including ACL, EMNLP, ICLR, and NeurIPS. Honors: ERC Advanced Grant (2023) Henderson leads the Natural Language Understanding group at Idiap, currently recruiting PhD students and postdoctoral researchers for his ERC project. He obtained his PhD and MSc from University of Pennsylvania and BSc from Massachusetts Institute of Technology, all in computer science.

• Decentralized Systems
• Distributed Systems
• Privacy and Anonymous Communication
• +۷ مورد دیگر

Prof. Bryan Alexander Ford is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Decentralized and Distributed Systems (DEDIS) lab within the School of Computer and Communication Sciences, Department of Computer Science. He also holds teaching positions in SIN (Systems and Networking) and SSC (Security and Software Composition) at EPFL, and serves on the Open Science Strategic Committee. His academic journey includes faculty positions at Yale University following his Ph.D. at MIT. Dr. Ford's research spans multiple domains with a primary focus on building secure decentralized systems. His work encompasses privacy and anonymous communication systems like Dissent, systems security, blockchain technology, and novel approaches to operating systems for deterministic parallel computing such as Determinator. He has made seminal contributions to parsing theory through his development of Parsing Expression Grammars (PEGs) and packrat parsing algorithms, which provide linear-time parsing with backtracking capabilities. His research also extends to networking protocols including the Unmanaged Internet Architecture and Structured Stream Transport, as well as virtualization technologies like VX32. Ford's publication record demonstrates a remarkable evolution from foundational work in parsing and programming languages to cutting-edge research in decentralized systems and security. His early career focused on operating systems theory, parsing algorithms, and language design, culminating in influential papers on packrat parsing and PEGs. More recently, his work has shifted toward practical decentralized systems, blockchain technology, and security architectures, while maintaining connections to programming language theory through projects like Matchertext and MinML. This trajectory reflects both continuity in his interest in system architecture and a strategic pivot toward emerging challenges in decentralized computing. As an educator and mentor, Ford advises multiple PhD students at EPFL through the EDIC program and welcomes prospective students and researchers to join his lab. His teaching includes courses on decentralized systems engineering and technologies for democratic society, reflecting his commitment to both technical rigor and societal impact of computing technologies.

• Computer Science Education
• Programming Pedagogy
• Visual Programming
• +۳ مورد دیگر

Dr. Sverrir Thorgeirsson is a Professor of Computer Science at ETH Zürich, affiliated with the Department of Computer Science under the School of Computer and Communication Sciences. His work focuses on innovative educational technologies and pedagogical frameworks to enhance programming education. His research interests include visual programming languages (e.g., Algot), cognitive aspects of learning (e.g., cognitive load measurement via EEG), and strategies to improve abstraction skills and software testing comprehension in students. He emphasizes bridging the syntax-semantics gap in programming through hands-on, interactive tools. Recent publications highlight his contributions to visual programming environments, failure-based learning, and the design of pedagogical frameworks. He actively explores how cognitive science principles can optimize educational outcomes in introductory and advanced CS courses. No scientific awards were explicitly listed. His advising and grants sections remain under development, pending additional data.

• Computational Neuroscience
• Neuroethology
• Neural Data Analysis
• +۳ مورد دیگر

Dr. Corinna Lorenz is a researcher at the Institute of Neuroinformatics, ETH Zürich, Switzerland, where she investigates neural mechanisms underlying behavior through computational and experimental approaches. Her work bridges neuroscience, machine learning, and animal behavior studies, primarily utilizing songbird models and advanced neurotechnologies. Her research focuses on computational neuroscience and neuroethology, with emphasis on vocal circuit dynamics in zebra finches. She develops innovative machine learning tools for neural data analysis, including vocal unit extraction from embedding spaces and chronic Neuropixels recordings. Additional interests span sensory processing (serotonin modulation in visual cortex) and body representation studies (rubber hand illusion), reflecting interdisciplinary expertise in neural coding and behavior. Analysis of her 12 recent publications (2012-2025) reveals three dominant themes: (1) Songbird vocal circuit dynamics during sleep/wake states and behavioral contexts, (2) Machine learning applications for unsupervised vocal analysis, and (3) Cross-species investigations of neural modulation in sensory systems. Her work consistently integrates custom hardware/software solutions with ethological paradigms. Dr. Lorenz maintains active research operations at ETH Zürich's Institute of Neuroinformatics (Y55 G 72), utilizing chronic recording methodologies and interactive data analysis frameworks. Her team develops open-source tools for vocal unit extraction and neural population analysis, contributing to reproducible neuroethology research.

Paola Merloمشاهده پروفایل

دانشیار

• Computational Linguistics
• Machine Learning
• Linguistics
• +۷ مورد دیگر

Paola Merlo is an Associate Professor at the University of Geneva, leading the Computational Learning and Computational Linguistics (CLCL) research group. Her work integrates linguistic modeling with machine learning, focusing on statistical language properties, lexical semantics, and syntactic/semantic parsing. She co-developed the Quantitative Computational Syntax framework and serves as Deputy Director (Geneva) for the NCCR Evolving Language center, investigating language evolution through computational methods. Education: Studied theoretical linguistics at the University of Venice and earned a PhD in Computational Linguistics from the University of Maryland, USA. She held visiting positions at the University of Pennsylvania (Institute for Cognitive Science), University of Edinburgh (School of Informatics), Stanford University, and Uppsala University, where she currently holds an adjunct professorship. Professional Service: Past editor of Computational Linguistics (MIT Press), member of ACL executive committees, and chair of major conferences (EMNLP 2011, EACL 2021). Served on the ERC panel for 'The Mind and its Complexity' (2020). Research Grants: Received an SNSF Advanced Grant (2021) for interdisciplinary work on linguistic intelligence. Her research emphasizes computational approaches to language universals and automatic generalization across languages. Dissemination: Active in science communication, including talks at the Collège de France and a video for the NCCR Women campaign celebrating Swiss women's suffrage anniversary (2021).

Marie-Hélène Côtéمشاهده پروفایل

استاد

• Phonology
• French Linguistics
• Language Variation
• +۷ مورد دیگر

Marie-Hélène Côté is a Full Professor in the Section of Language and Information Sciences within the Faculty of Arts at the University of Lausanne (UNIL), a position she has held since August 2016. She has previously held academic appointments at the University of Wisconsin-Madison (2000–2001), the University of Ottawa (2001–2013), and Laval University (2013–2016). Her research expertise lies in the phonological structure of language, particularly focusing on French. She employs a multidisciplinary approach that integrates formal linguistic theory, experimental phonetics, and corpus-based analysis. Her work emphasizes linguistic variation across geographical, generational, and stylistic dimensions, with a special focus on Quebec and Canadian French. Marie-Hélène Côté has co-directed the international "Phonology of Contemporary French" (PFC) project since 2010, which has produced extensive spoken corpora and advanced methodologies for analyzing French phonology. Her recent publications reflect a sustained engagement with variation, corpus phonology, loanword adaptation, and prosodic phenomena in French. Professor of the Year award from the Faculty of Arts at the University of Ottawa (2013) She has supervised numerous research initiatives and led major collaborative projects such as the PFC. While specific grant details are not provided, her leadership in large-scale, international research efforts indicates significant funding acquisition and project management experience. She has contributed extensively to academic service through editorial roles and scholarly collaboration. Marie-Hélène Côté leads and contributes to research teams associated with the Phonology of Contemporary French project. This international initiative involves scholars from multiple institutions and focuses on building and analyzing spoken French corpora, advancing methods in dialectometry, and exploring phonological variation and change.

Christoph Hölscherمشاهده پروفایل

استاد

• Spatial Cognition
• Wayfinding in Built Environments
• Human-Computer Interaction
• +۱۲ مورد دیگر

Christoph Hölscher is a Full Professor and Chair of Cognitive Science at ETH Zurich, Department of Humanities, Social and Political Sciences. He is also an Honorary Senior Research Fellow at University College London’s Bartlett School of Architecture / Space Syntax group and has held visiting positions at UC Santa Barbara. His work bridges cognitive science, architectural design, and human-computer interaction. PhD in Psychology, University of Freiburg (2000) Habilitation in Psychology, University of Freiburg (2009) Project Manager, IT Industry (2000–2003) His research centers on spatial cognition , wayfinding in built environments , and usability in architectural design . He employs methods such as virtual reality, eye-tracking, and behavioral experiments to study how people navigate and interact with complex spaces. His work integrates cognitive psychology with urban planning and architecture to improve building legibility and user experience. The most recent publications reflect a strong interdisciplinary trend, combining cognitive science , urban systems , and virtual environments . Key themes include crowd simulation in emergencies, spatial reference frames in navigation, multi-level wayfinding challenges, and gaze behavior during spatial decisions. These studies often use immersive technologies and space syntax analysis to evaluate architectural configurations. Governing Board, Cognitive Science Society (since 2012) Board of Directors, SFB/TR8 Spatial Cognition (2007–2012) Co-chair, 33rd Annual Conference of the Cognitive Science Society (2011) Co-chair, Spatial Cognition International Conference (2010) Hölscher leads significant research initiatives connecting cognitive science with architectural practice. He has advised on evidence-based design, developed tools for recording spatial behavior (e.g., iPad apps), and promoted the use of personas in architectural design. His lab collaborates across disciplines, involving computer scientists, architects, and psychologists in projects focused on navigation support, spatial learning, and building usability. Future work appears to emphasize real-time spatial behavior analysis, integration of mobile technologies, and cross-modal perception in complex environments.

Siegfried Handschuhمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Prof. Dr. Siegfried Handschuh is a Full Professor for Data Science and Natural Language Processing at the Institut für Informatik (ICS-HSG), University of St. Gallen. His research focuses on advanced NLP techniques, financial text analysis, and AI-driven solutions in cybersecurity and education. He leads projects like CS-AWARE-NEXT, enhancing cybersecurity awareness in public institutions. Prof. Handschuh has authored over 100 publications, with recent work emphasizing transformer optimization, generative AI applications, and educational tools for argumentative writing. His team collaborates with companies like Rheasoft and Peracton on AI-powered financial analytics and cybersecurity systems. Education: Doctorate in Computer Science, specialized in knowledge representation and semantic web technologies. Research Interests: Data science, machine learning, financial NLP, cybersecurity, and AI in education. His work bridges academia and industry, addressing real-world challenges in finance, cybersecurity, and educational technology through innovative AI frameworks.

Nina Kazaninaمشاهده پروفایل

استاد

• Neuroscience of Language
• Neural Mechanisms of Linguistic Computation
• Cognitive Neuroscience
• +۳ مورد دیگر

Prof. Nina Kazanina is a faculty member in the Department of Basic Neurosciences at the University of Geneva’s Faculty of Medicine. She co-directs the NCCR Evolving Language and previously served as an Associate Professor in Psychology and Cognitive Neuroscience of Language at the University of Bristol’s School of Psychological Science. Research focuses on the neural mechanisms underlying language, memory, and cognitive domains Lab employs EEG, MEG, fMRI, and behavioral methods Translational work targets language assessment in neurodegeneration and stroke Recent work explores grammatical abstraction in language models, neural oscillations in syntax, and reward-modulated memory. Her lab investigates how the brain encodes linguistic categories and hierarchical structures, bridging neuroscience and theoretical linguistics. Key translational applications include cognitive assessment across the lifespan. Lab members include postdocs (Theo Desbordes, Berk Gercek, Mamady Nabe, Itsaso Olasagasti) and PhD student Katarina Labancova. Contact: nina.kazanina@unige.ch

Stefan Elmerمشاهده پروفایل

پژوهشگر

• Speech Neuroscience
• Hearing Neuroscience
• Bilingualism
• +۳ مورد دیگر

Stefan Elmer is a Senior Researcher at ETH Zurich specializing in computational neuroscience of speech and hearing. His work investigates neural mechanisms of language processing, bilingualism, and music cognition, with emphasis on how musical expertise influences speech perception and word learning across the lifespan using EEG and neuroimaging techniques. Dr. Elmer's research spans speech neuroscience, hearing neuroscience, and bilingualism, focusing on neural plasticity in interpreters and musicians. Key studies examine cognitive load during simultaneous interpretation, neural correlates of absolute pitch, and age-related changes in temporal speech processing. His work demonstrates how experience in music or language reshapes brain connectivity in dorsal/ventral streams. Analysis of his 2019-2023 publications reveals consistent themes: neural adaptations in simultaneous interpreters, music-language interactions in word learning, and clinical applications for tinnitus/hearing loss. His research highlights EEG-based biomarkers for individual cognitive profiles and lifespan effects of expertise on auditory processing. Dr. Elmer contributes to ETH Zurich's Computational Neuroscience of Speech & Hearing group, which employs interdisciplinary approaches to unravel auditory processing mechanisms through collaborative projects bridging neuroscience, linguistics, and clinical audiology.