جستجوی استاد راهنمای دانشگاهی

• Machine Learning
• AI-Based Audio Signal Processing
• Digital Image Processing
• +۷ مورد دیگر

Dr. Martin Loeser is a Professor and Program Director of Electrical and Computer Engineering at the ZHAW Zurich University of Applied Sciences, School of Engineering, Department of Information Technology, Electrical Engineering and Mechatronics. He holds a Ph.D. in Computational Physics from ETH Zurich (2008) and a Master's degree in Electrical and Computer Engineering from the Technical University of Munich (2003). His educational background includes: Ph.D. in Computational Physics, ETH Zurich (2004-2008) Master of Science in Economics and Management, University of Hagen (2010-2012) Master of Science in Electrical and Computer Engineering, Technical University of Munich (1997-2003) Study Abroad Degree in Applied Physics, University of Sydney (2001-2002) Dr. Loeser's research spans multiple interdisciplinary fields with a strong focus on Machine Learning, AI-Based Signal Processing, and Digital Image Processing . His work bridges theoretical computational methods with practical applications in healthcare, education, and optoelectronics. Recent research has focused on using machine learning and virtual reality for early detection of cognitive impairments, developing AI-based educational tools, and creating medical diagnostic devices. His earlier work centered on computational physics and optoelectronic device modeling, particularly for LEDs and solar cells. His publication record shows a clear evolution from fundamental computational physics and optoelectronics (2006-2010) toward AI applications in healthcare and education (2015-present). This transition reflects his ability to adapt core computational expertise to emerging technological challenges. His recent work demonstrates strong interdisciplinary collaboration, particularly with medical researchers for cognitive impairment detection and with educational specialists for AI-enhanced teaching tools. Among his recognitions is being named "Best graduate of the year in the Master's degree program in Management" from the University of Hagen in June 2012. Dr. Loeser maintains active research collaborations across disciplines and institutions, as evidenced by his diverse publication record spanning computer science, healthcare technology, education, and traditional engineering fields. His current research program focuses on edge AI applications, particularly in healthcare diagnostics and educational technology.

• Machine Learning
• Natural Language Processing
• Cognitive Science
• +۴ مورد دیگر

Samuel Kiegeland is a Researcher at ETH Zürich's Institute for Machine Learning , located at OAT W 16, Andreasstrasse 5, 8092 Zürich, Switzerland. His work bridges machine learning with cognitive science, focusing on understanding and enhancing human-AI interaction through eye-tracking and neurophysiological data. Research Interests Machine Learning and Natural Language Processing (NLP) Cognitive science applications in AI systems Eye-tracking and EEG analysis for model improvement Human-in-the-loop learning mechanisms Recent Work Trends His publications emphasize multimodal data fusion (EEG/eye-tracking) to improve models like LLMs, with a focus on understanding reading tasks and attention patterns. Recent work (2024-2025) explores novel architectures for information contour analysis in language systems. Awards & Grants No awards explicitly listed in provided texts. Active in collaborative projects involving neurophysiological benchmarks (e.g., ZuCo dataset). Labs/Teams Affiliated with the Institute for Machine Learning at ETH Zürich, contributing to interdisciplinary research at the intersection of AI and cognitive neuroscience.

Alexis Hervais-Adelmanمشاهده پروفایل

پژوهشگر

• Neuroscience
• Language Processing
• Multilingualism
• +۷ مورد دیگر

Dr. Alexis Hervais-Adelman is a Group Leader at the Dynamics of Brain and Language Lab, Faculty of Medicine, University of Geneva. His research centers on the neural mechanisms of language, including speech perception, multilingualism, and the evolutionary origins of human language. Research Interests: His work spans neuroscience, cognitive science, linguistics, and neuroimaging . He investigates how the brain processes speech in challenging environments, the role of the motor system in perception, and how multilingual experience shapes brain structure and function. A key focus is prenatal language development and its implications for language evolution. Publication Trends: His recent publications (2023–2025) emphasize in utero language exposure, auditory cortex anatomy in multilinguals, and co-activation in simultaneous interpreters, reflecting a strong interdisciplinary approach combining evolutionary theory, developmental neuroscience, and cognitive linguistics. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: He leads a research lab with postdocs (Christopher Ritter, Sophie Slaats), doctoral students (Martina Dordijevic), and staff (Enrico Varano). His research is supported by major grants, including from the Swiss National Science Foundation (SNSF) and the Wellcome Trust, notably as part of the NCCR Evolving Language program. Labs and Teams: He directs the Dynamics of Brain and Language Lab at Campus Biotech, Geneva, and is an integral member of the NCCR Evolving Language consortium, fostering collaborative research on the origins and evolution of human language.

Natalia Gagarinaمشاهده پروفایل

استاد

• Language Acquisition
• Multilingualism
• Bilingual Language Development
• +۶ مورد دیگر

Prof. Dr. Natalia Gagarina serves as Head of Research Area 2 'Language Development & Multilingualism' at the Leibniz-Centre General Linguistics (ZAS) and is Vice Director of ZAS since October 2022. She holds positions as an extraordinary professor at Humboldt-Universität zu Berlin since September 2020 and visiting professor at Uppsala University since December 2017. During the autumn semester 2025, she will serve as substitute professor for Prof. Dr. Katrin B. Karl at the Institute of Slavic Languages and Literatures at the University of Bern. Her research focuses on monolingual and bilingual (a)typical language acquisition in the areas of lexicon, morphosyntax, discourse, aspect, and anaphors. In recent years, she has intensively studied the macro- and microstructure of narratives and developed language assessment methods for multilingual children. Her work spans theoretical linguistics, language acquisition, heritage languages, and clinical applications for identifying language disorders in bilingual populations. Prof. Gagarina leads multiple significant research projects including 'Real-time register comprehension in adolescent heritage speakers' languages' (CRC 1412-Register C03), 'Diagnosis of language abilities in multilingual children: Validation of a test battery,' and 'Dynamics of Verbal Aspect and (Pro)Nominal Reference in Language Contact.' Her publications demonstrate consistent output in high-impact venues with a focus on heritage language syntax, narrative structure, and language assessment methodologies. Her scientific achievements have been recognized through prestigious awards including membership in the philosophical-historical class of the Austrian Academy of Sciences (May 2023) and the 'Open Access - OpenScience' Prize from the Deutsche Gesellschaft für Sprachwissenschaft. She has also received the 'Bebilin: Das beste Unterrichtsmaterial' Award for online language support materials. Prof. Gagarina actively supervises doctoral students and collaborates internationally with researchers across Europe and North America. Her work bridges theoretical linguistics with practical applications in education and clinical settings, particularly in developing assessment tools for multilingual children and understanding the architecture of bilingual language development from first words to literacy.

Lena A. Jägerمشاهده پروفایل

دانشیار

• Computational Linguistics
• Eye Tracking
• Machine Learning
• +۵ مورد دیگر

Lena A. Jäger is an Associate Professor in Digital Linguistics at the School for Transdisciplinary Studies, University of Potsdam. Her research focuses on computational linguistics, eye tracking, and machine learning applications in language processing. She leads the Digital Linguistics group, supervising 11 PhD students and contributing to interdisciplinary projects like the MultiplEYE corpus initiative. Her work bridges cognitive science and AI, with key contributions to eye movement analysis, biometric identification, and LLM interpretability. Her research interests span eye tracking in reading, linguistic predictability modeling, and the alignment of language models with human cognition. Notable achievements include developing the pymovements toolkit for eye movement data processing and pioneering studies on detecting alcohol inebriation via gaze analysis. Awards include best paper honors at ETRA 2023 and 2024. Recent work explores generative models (ScanDL) for synthetic eye movement generation, cross-lingual reading behavior analysis, and fairness in biometric systems. She advises on AI ethics through the DSI initiative and collaborates internationally on projects like the MECO corpus.

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.

• Computational Linguistics
• Eye-tracking
• Machine Learning
• +۵ مورد دیگر

Lena Jaeger is an Associate Professor of Digital Linguistics at the University of Zurich, where she leads research at the intersection of linguistics, computational cognitive science, and machine learning. She joined the Chair of Computational Linguistics at UZH in July 2020 after establishing a Machine Learning Junior Research Group at the University of Potsdam, funded by the German Federal Ministry of Education and Research. Her educational background spans multiple disciplines: she earned an MA in Chinese Language and Culture (Sinology) from the University of Freiburg im Breisgau, Tongji University Shanghai, Beijing Language and Culture University, and Université Paris 7 Denis-Diderot; followed by an MSc in Experimental and Clinical Linguistics at the University of Potsdam; and completed her doctorate in cognitive science at the same institution. Notably, she also earned a bachelor's degree in computer science during or after her doctoral studies. Professor Jaeger's research focuses on investigating cognitive mechanisms underlying human language processing using experimental psycholinguistics, computational modeling, and machine learning methods. Her current work develops machine learning techniques for analyzing eye-tracking data to understand cognitive processes reflected in eye movement behavior. This interdisciplinary approach combines insights from linguistics, cognitive science, and artificial intelligence to create models that bridge human and machine language understanding. Her recent publications reveal a strong trend toward developing eye-tracking methodologies, creating multilingual corpora, and applying machine learning to understand reading behavior and language processing. Her work spans from fundamental research on cognitive mechanisms to practical applications in educational technology, medical diagnostics, and AI development. Best student late breaking work award for Reporting Eye-Tracking Data Quality: Towards a New Standard Best short paper award for Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models Professor Jaeger actively supervises multiple PhD students across computational linguistics, machine learning, and phonetics disciplines. Her research group collaborates extensively on large-scale projects like the MultiplEYE initiative, which establishes standards for multilingual eye-tracking data collection. She has secured significant research funding, including a Machine Learning Junior Research Group grant from the German Federal Ministry of Education and Research before moving to UZH. Her laboratory work centers on eye-tracking methodologies, developing tools like pymovements for eye movement data processing, and creating comprehensive corpora such as MECO (Multilingual Eye-Movement Corpus), MultiplEYE, and CoLAGaze. These resources support cross-linguistic research on reading behavior and language processing across diverse populations.