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Anton Bolfing serves as a Lecturer at the Department of Health Sciences and Technology, ETH Zurich, and leads the Accessible Learning Materials unit since 2021. His academic foundation spans psychology, neurophysiology, and philosophy, with specialized expertise in cognitive and perceptual psychology. He completed his studies at the University of Zurich, focusing on general psychology, perceptual psychology, cognitive psychology, and visual cognition. Dr. Bolfing's research integrates cognitive psychology with digital accessibility , with key focuses including: Framework Development : Creating the A11y Big Five for efficient accessibility communication Educational Technology : Designing accessible digital learning tools for people with disabilities Cognitive Accessibility : Applying visual cognition principles to reduce cognitive load for users with learning disabilities Institutional Strategy : Advancing systemic adoption of accessibility standards in higher and vocational education Analysis of his recent publications (2022-2025) reveals a strategic shift toward implementing accessibility in vocational training and higher education systems. His work consistently bridges theoretical frameworks like the A11y Big Five with practical tools such as the Content Accessibility Checker, with growing emphasis on solutions for cognitive disabilities and multilingual accessibility contexts. As Head of Accessible Learning Materials at ETH, Dr. Bolfing directs institutional strategy for accessible educational resources. He co-founded the Swiss Accessibility Study series and maintains active collaborations with FHNW and international conferences like ICCHP, translating research into national accessibility standards and tool development.

• Accessibility
• Digital Inclusion
• Cognitive Psychology
• +3 more

Nikolaos Tsourakis is a researcher affiliated with the University of Geneva , specifically the Faculty of Translation and Interpreting , and contributes to the TIM/ISSCO research groups. His work primarily focuses on natural language processing, speech technology, and computer-assisted language learning (CALL), with a strong emphasis on accessibility and medical applications. Research Interests Natural Language Processing Speech-to-Speech Translation Text Simplification Computer-Assisted Language Learning (CALL) Medical Informatics Multimodal Interaction Tsourakis's recent publications highlight advancements in French text simplification, robust synthetic data generation, and the use of BERT for complexity assessment. His work often integrates machine learning techniques with practical applications in medical and educational contexts. Notable Projects BabelDr : Web platform for rapid development of medical speech translation CALL-SLT : Spoken CALL systems for language learning MEDSLT : Medical speech translation systems Tsourakis has supervised no formal advisees but has contributed to numerous publications and research initiatives, particularly in low-resource language processing and ethical AI design.

• Natural Language Processing
• Speech Technology
• Computer-Assisted Language Learning (CALL)
• +5 more

Eric Pohl is a Senior Researcher in the Department of Geosciences at the University of Fribourg, Faculty of Science and Medicine. His research focuses on water-related processes in mountainous regions, including glacier dynamics, hydrological modeling, permafrost studies, and the impacts of climate change on high-altitude environments. Current projects involve glacier runoff analysis in Central Asia (e.g., Tien Shan and Pamir Mountains) and permafrost monitoring in Siberia through collaborations with institutions like the LSCE in Paris-Saclay. He develops innovative methods for data integration, such as petrophysical joint inversion and non-parametric statistical approaches to detect climate signals. His work bridges geophysics, hydrology, and remote sensing to address environmental challenges in data-scarce regions. Key research themes include: Glacier meltwater contributions to river systems Permafrost thermal regime and ground ice quantification Climate change impacts on sediment transport and hydrological cycles Modeling hydrological processes in mountain catchments His publications emphasize methodological advancements and interdisciplinary approaches to understand cryospheric and hydrological systems in Central Asia and Siberia. While no formal awards are listed, his contributions to glaciology and permafrost science are evident through extensive collaborative projects and peer-reviewed outputs. Teaching and advising activities are not explicitly detailed, but his involvement in university-level research supervision is implied through his academic role. No grants or labs are specified in the provided texts.

• Glaciology
• Hydrology
• Climate Change Impacts
• +5 more

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.

• Data Science
• Artificial Intelligence
• Machine Learning
• +4 more