جست‌وجوی استاد و پژوهشگر

Ulla Autenriethمشاهده پروفایل

استاد

• Visual Communication
• Online Communication
• Media Change
• +۱۵ مورد دیگر

Prof. Dr. Ulla Autenrieth is a faculty member at the University of Applied Sciences of the Grisons (FH Graubünden), where she serves as Lecturer and Research Director at the Institute for Multimedia Production (IMP). Her work lies at the intersection of media studies, digital communication, and visual culture, with a strong emphasis on the societal impacts of digital transformation. Her academic training includes an interdisciplinary diploma in Social Sciences from the University of Koblenz-Landau and a PhD earned in 2013 through a Swiss National Science Foundation (SNSF) project analyzing visual content on social network sites. Prior to joining FHGR, she spent eight years as a senior assistant at the University of Basel’s Department of Media Studies and has taught at various academic institutions in Switzerland and internationally. PhD in Media Studies, University of Basel (2013) Diplom in Social Sciences, University of Koblenz-Landau Her research centers on visual communication in networked environments, media use, media literacy, and the effects of mediatization on media systems. She led the SNSF-funded project 'Progressive Loss of Acceptance among the Target Audience – The Future of Public Service in Switzerland Under Scrutiny' until 2020 and currently heads the priority project 'Local Journalism and Municipal Communication Under Digital Transformation'. Her expertise spans online communication, social media, journalism, media innovation, and youth media behavior. She actively contributes to public discourse through her roles on the Quality Assurance Program Committee at Telebasel and as a committee member of GGG Kulturkick in the field of digital youth culture. While specific publications and awards are not listed in the provided text, her leadership in nationally funded research projects underscores her scholarly impact. She advises on digital strategy and media evaluation, particularly in public service and local governance contexts. Her work is supported by research labs and centers at FHGR, particularly within IMP and the broader ecosystem of applied media innovation.

• Computational Fluid Dynamics
• Discrete Element Method
• High Performance Computing
• +۵ مورد دیگر

Mark Sawley is a Senior Scientist at École Polytechnique Fédérale de Lausanne (EPFL) with dual appointments in the Institute of Mechanical Engineering (IGM) for administration and the School of Management (SGM) for teaching. With over 30 years of experience in academic, government laboratory, and private institutions across Switzerland and Australia, he holds a PhD in Physics and has founded/co-founded two high-tech startup companies. His administrative roles include coordinating ACCES for Computational Engineering promotion and serving as Coordinator for Academic Affairs at the STI Faculty. Dr. Sawley's research spans computational fluid dynamics, discrete element method simulations, and high-performance computing applications. His work bridges multiple disciplines with applications in materials science (concrete simulation), bioengineering (blood flow modeling), marine engineering (America's Cup yacht design), avalanche dynamics, and industrial particulate processing. His recent publications (2018-2021) demonstrate continued activity in applying numerical methods to solve complex engineering problems. His scientific contributions include 37 peer-reviewed journal papers, 58 conference proceedings, and 21 articles for general audiences. His work uniquely connects technical research with science communication through projects like TIMBRE!! and the DEM Gallery, emphasizing the relationship between science and art. 37 scientific papers in international peer-reviewed journals 58 papers in international conference proceedings 21 science communication articles for general audiences Professor Sawley has advised PhD students including Serge Wüthrich (1992) and Olivier Byrde (1997). His Computational Granular Dynamics lab (http://cgd.epfl.ch) provides a platform for interdisciplinary research connecting physics, engineering, and computational science. His administrative leadership in academic affairs and computational engineering promotion demonstrates his commitment to advancing both research and education at EPFL.

Patrik Vuilleumierمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Affective Neuroscience
• Neuroimaging
• +۳ مورد دیگر

Professor Patrik Vuilleumier leads the neuroimaging research group at Campus Biotech, University of Geneva Faculty of Medicine. His work focuses on cerebral mechanisms of cognition, emotion, and consciousness using advanced neuroimaging techniques like fMRI and ERPs. Research explores visual object recognition, voice identification, emotion perception, and social signal processing Specializes in amygdala function and brain lesion impacts on cognitive processes Current projects examine emotion regulation, stress response, and social feedback processing through multimodal datasets including the groundbreaking Emo-FilM collection. His team investigates how emotions influence perception and behavior across various populations including healthy adults, clinical groups, and developmental samples. Recent work demonstrates that positive emotion upregulation shapes prefrontal-amygdala interplay, with sociality scores modulating connectivity between affective and social networks. The group studies both conscious and unconscious emotional processing mechanisms. Active clinical trials with adolescents examining stress vulnerability Develops therapeutic approaches for hemineglect and attention deficits 15+ peer-reviewed publications since 2020

Alexander Albersمشاهده پروفایل

پژوهشگر

• Industrial Engineering
• Manufacturing
• Machine Learning
• +۴ مورد دیگر

Current research associate and doctoral student at ETH Zurich's Chair of Production and Operations Management (POM), focusing on industrial engineering and augmented reality applications in manufacturing. Holds M.Sc. with distinction in Industrial Engineering and Management from Karlsruhe Institute of Technology (KIT), with research conducted at University of Cambridge's Institute of Manufacturing. Educational background: B.Sc. & M.Sc. Industrial Engineering and Management, KIT, Germany Master's thesis research at University of Cambridge, UK Research integrates machine learning and augmented reality into manufacturing processes, particularly for quality inspection and guided assembly systems. Publications examine data application frameworks in VUCA environments and evaluate AR technology effectiveness in industrial settings. Recent publications highlight: Contextual AR evaluation methodologies Smart manufacturing data integration User-centered quality inspection systems Scientific achievements: Published in IEEE Transactions on Visualization and Computer Graphics Presented at IEEE ISMAR-Adjunct Contributed to Springer LNCS series publications Also develops public transport navigation apps integrating 50+ networks across Germany, Austria, and Switzerland, while maintaining active engagement in sports and outdoor activities.

Srikanth Madikeriمشاهده پروفایل

مدرس

• Automatic Speech Recognition
• Speaker Recognition
• Language Recognition
• +۳ مورد دیگر

Dr. Srikanth Madikeri is a Lecturer and Senior Researcher at the University of Zurich's Department of Computational Linguistics. He holds a Ph.D. in Computer Science from IIT Madras (2013) and a Bachelor of Engineering from Anna University (2008). Before joining UZH, he spent 11 years at Idiap Research Institute as a Postdoctoral Researcher and Research Associate. His research focuses on low-resource speech technologies, including Automatic Speech Recognition (ASR), Speaker Diarization, Language Recognition, and Spoken Dialog Systems. He specializes in adapting models for challenging domains like air traffic control and criminal investigations. Recent publications demonstrate strong trends in multimodal systems, domain adaptation for ASR, and efficient data selection techniques. His work frequently integrates speech processing with NLP tasks and criminal network analysis. Awards: Best Paper Award in Signal Processing Track (NCC 2011) International Create Challenge 2017 Winner He teaches Speech Technology and Machine Learning for Computational Linguistics at UZH. Professional activities include serving as Area Chair for Interspeech (2021-2022) and developing open-source toolkits like pkwrap for LF-MMI training.

Christian von Meringمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Microbial Ecology
• +۵ مورد دیگر

Prof. Dr. Christian von Mering is a Professor in the Department of Molecular Life Sciences at the University of Zurich, where he leads an active research group focusing on bioinformatics, systems biology, and microbial ecology. His laboratory maintains strong collaborations across multiple institutions and has established several widely used bioinformatics resources including the STRING database, eggNOG, and PaxDb. His research spans computational biology with a particular emphasis on protein-protein interaction networks, microbial community analysis, and genomic data integration. The von Mering group employs advanced computational methods to analyze large-scale biological datasets, with significant contributions to understanding microbial ecosystems, protein networks, and genomic evolution. Their work bridges theoretical computational approaches with experimental validation. The research output from von Mering's laboratory demonstrates consistent productivity across multiple domains, with recent publications showing particular strength in microbial ecology, protein interaction networks, and genomic resource development. The group's work on the STRING database represents one of their most significant and widely adopted contributions to the field of systems biology. As a research leader, von Mering supervises multiple postdoctoral fellows, PhD students, and research associates. His group includes senior researchers like Dr. Damian Szklarczyk and Dr. Janko Tackmann, along with several postdoctoral fellows and PhD candidates working on diverse projects within the lab's research scope.

Mark Robinsonمشاهده پروفایل

استاد

• Computational Biology
• Bioinformatics
• Statistical Genomics
• +۴ مورد دیگر

Mark Robinson is a Professor at the Department of Molecular Life Sciences, University of Zurich, and affiliated with the Swiss Institute of Bioinformatics. He leads the Robinson Research Group, focusing on Computational Biology Bioinformatics Single-Cell RNA Sequencing Statistical Genomics His work bridges computational method development with applications in cancer immunology, epigenetics, and developmental genetics. Key research contributions include Development of bioinformatics tools like pubassistant.ch, scDblFinder, and DESpace Advancements in spatial transcriptomics and single-cell data analysis Studies on epigenetic aging and tumor microenvironment dynamics Notable collaborations span institutions in Switzerland, Germany, and international agricultural pest research groups. His recent publications (2023-2025) emphasize Spatial omics data interpretation Interdisciplinary collaboration frameworks Optimized tissue processing methods Computational benchmarks for reproducible research While no specific scientific awards are mentioned in the data, his software tools and methodological papers demonstrate significant impact on open science and bioinformatics communities.

• Neuroscience
• Memory Consolidation
• Hippocampus
• +۷ مورد دیگر

Zhang Xiaomin is an Assistant Professor of Neuroscience at the Brain Research Institute, University of Zurich. Her research focuses on understanding the cellular and circuitry mechanisms underlying episodic memory consolidation in the hippocampus, with particular relevance to early-onset Alzheimer's disease. She employs advanced in vivo electrophysiological recordings and optical tools to investigate single-neuron dynamics, neuronal population coding properties, and the role of neuromodulation during spatial memory consolidation. Her educational background includes: Bachelor's degree in Biomedicine from China Master's degree in Neuroscience from China Ph.D. from University of Heidelberg, Germany under Prof. Andreas Draguhn Postdoctoral fellowship at Institute of Science and Technology, Austria under Prof. Peter Jonas Dr. Zhang's research primarily investigates how episodic memories, which initially are fragile, become consolidated for long-term retention. She has established in vivo whole-cell patch-clamp recording techniques in head-fixed behaving animals to study memory consolidation mechanisms. Her work bridges cellular neuroscience with cognitive function, focusing on how disruptions in these processes contribute to Alzheimer's disease pathology. The laboratory employs cutting-edge methodologies including advanced electrophysiology, optical tools, and computational approaches to understand neural coding during memory formation. Analysis of her publication record reveals a strong focus on hippocampal function, particularly dentate gyrus circuitry and granule cell dynamics. Her research trajectory shows progression from basic cellular mechanisms to more complex network-level questions, with increasing emphasis on computational approaches and disease models. The publications demonstrate expertise in both experimental neuroscience and computational analysis, with significant contributions to understanding how neural circuits process spatial information and consolidate memories. Her scientific achievements have been recognized through prestigious awards: SNSF Prima Fellowship Synapsis Foundation Career Development Award Dr. Zhang leads the Laboratory of Memory Consolidation at the University of Zurich, where she mentors a diverse research team including multiple PhD students and research assistants. Her group continues to investigate the neuronal mechanisms underlying impaired episodic memory formation, with the ultimate goal of identifying potential therapeutic targets for Alzheimer's disease and related memory disorders. The laboratory maintains active collaborations with other neuroscience research groups at the Brain Research Institute and beyond.

Abraham Bernsteinمشاهده پروفایل

استاد

• Semantic Web
• Data Mining
• Machine Learning
• +۷ مورد دیگر

Abraham Bernstein is a Full Professor of Informatics at the University of Zurich (UZH), where he serves as Head of the Dynamic and Distributed Information Systems Group and Director of the UZH Digital Society Initiative. He leads a university-wide initiative with over 180 faculty members investigating the interplay between society and digitalization. His work bridges social science foundations (organizational psychology/sociology/economics) and technical disciplines (computer science, artificial intelligence), creating a unique interdisciplinary approach to digital transformation challenges. Education: Diploma in Computer Science from ETH Zurich Ph.D. in Management with concentration in Information Technologies from MIT's Sloan School of Management Professor Bernstein's research spans the Semantic Web, data mining/machine learning, recommender systems, crowd computing, and collective intelligence. His work uniquely integrates social science perspectives with technical computer science approaches, examining how social and technical elements interact in digital systems. Recent work focuses on explainable AI, ethical decision-making with AI systems, and the societal implications of digital transformation, reflecting his commitment to addressing both technical challenges and their broader societal context. His publication record shows a strong trajectory in multimodal information retrieval, knowledge representation, and human-AI collaboration, with increasing focus on ethical considerations and societal impact of AI technologies. The research demonstrates consistent innovation in bridging technical AI capabilities with human-centered design principles, particularly in areas like explainable recommender systems and democratic applications of AI. Scientific Recognition: Nominated Digital Shaper by Bilanz magazine (2017) Professor Bernstein has supervised over 30 PhD students whose work spans semantic technologies, data mining, recommender systems, and human-AI interaction. His research group has secured significant funding for projects related to digital society, knowledge representation, and AI ethics. As Director of the Digital Society Initiative, he coordinates cross-disciplinary research across UZH's faculties, bringing together scholars from humanities, social sciences, law, economics, and STEM fields to address complex digital transformation challenges. He leads the Dynamic and Distributed Information Systems Group at UZH, which maintains strong international collaborations and contributes significantly to both theoretical advances and practical applications in information systems. The group's work has influenced standards in semantic web technologies and continues to shape discourse on responsible AI development and deployment in society.

Jean-Louis Reymondمشاهده پروفایل

استاد

• Chemical Space
• Cheminformatics
• Peptide Chemistry
• +۵ مورد دیگر

Professor Jean-Louis Reymond is a distinguished academic at the University of Bern, currently serving as Dean of the Faculty of Science since 2024. He leads the Reymond Research Group within the Department of Chemistry, Biochemistry and Pharmaceutical Sciences. Previously, he served as Director of the Department of Chemistry and Biochemistry from 2015-2017. His educational background includes diploma studies in Chemistry and Biochemistry at ETH Zürich (1981-1985), a Ph.D. in Natural Products Synthesis at the University of Lausanne (1986-1989), and post-doctoral research on Catalytic Antibodies at Scripps Research Institute (1990-1991). He joined the University of Bern as a Professor in 1997 after serving as Assistant Professor at Scripps Research Institute (1992-1997). Reymond's research centers on The Chemical Space Project, which explores the vast universe of possible chemical compounds with potential medical applications. His work spans three interconnected areas: Peptide Chemistry (design of bioactive peptides including dendrimers and polycyclic structures), Cheminformatics (development of the GDB chemical universe database), and Medicinal Chemistry (computer-aided design of small molecule modulators). His research has significant implications for addressing antimicrobial resistance through novel peptide-based therapeutics. Analysis of his recent publications reveals a strong focus on navigating and exploiting chemical space for drug discovery, particularly in antimicrobial applications. His work combines computational methods with synthetic chemistry to identify novel scaffolds and optimize bioactive compounds. The 2024-2025 publications demonstrate continued innovation in peptide design, chemical space visualization, and applications in drug delivery systems. ERC Advanced Grant (2020) for project SPACE4AMPS (€2.5 million over 5 years) Professor Reymond actively mentors numerous graduate students and leads a vibrant research group that collaborates across disciplines. His research is supported by significant grants including the ERC Advanced Grant and participation in the NCCR TransCure initiative. The Reymond Research Group maintains strong connections with other research units at the University of Bern and international collaborators. The research group operates state-of-the-art facilities for peptide synthesis, cheminformatics analysis, and biological testing. They have developed specialized tools including the GDB chemical space database (www.gdb.unibe.ch) and collaborate with the NCCR TransCure consortium on transporter and ion channel research. Their work on antimicrobial peptides positions them at the forefront of addressing the global antimicrobial resistance crisis.

Yanick Lukicمشاهده پروفایل

مدرس

• Digital Health
• Applied Machine Learning
• Psychology
• +۳ مورد دیگر

Yanick Lukic is a Lecturer and Senior Researcher at the Zurich University of Applied Sciences (ZHAW) School of Engineering since 2023. He holds a PhD in Digital Health and Applied Machine Learning from ETH Zürich and has industry experience as Advisor at BreezeLabs AG and Chief Product Officer at heyPatient AG. Education: PhD (ETH Zürich), CAS in Higher & Professional Education (ZHAW School of Management and Law), B.Sc. & M.Sc. in Computer Science (ZHAW School of Engineering), Interaction Design specialization (Zurich University of the Arts). Research Interests focus on integrating Digital Health with Applied Machine Learning to develop Gameful Breathing Training Applications and Digital Biomarkers for Mental Health . His work bridges Human-Computer Interaction and Health Informatics , emphasizing user engagement and physiological feedback in mobile health solutions. Publications (2021–2023) include studies on Game Design for Respiratory Therapy , Digital Interventions for Subclinical Depression , and Physiological Response Evaluation in gamified health apps. Key trends highlight User-Centered Design and Real-Time Feedback Systems in digital mental health tools.

• Structural Engineering
• Concrete Technology
• Wood Structures
• +۳ مورد دیگر

Enrique Corres Sojo serves as a Lecturer at the Institute of Civil and Environmental Engineering (SGC) within EPFL's School of Architecture, Civil and Environmental Engineering (ENAC), based at the GC Building in Lausanne. His teaching portfolio emphasizes hands-on structural engineering applications: Drawing structures (CIVIL-126) focusing on structural visualization TRC LC3 Research Platform Fribourg (PENS-308) developing textile reinforced concrete prototypes to extend the 2019 TRC pavilion project Making structural logic (CIVIL-475) exploring theoretical principles ENAC week (PENS-201) involving collaborative construction of thin wooden shell structures All practical work occurs at the Blue Factory in Fribourg through the Civil Engineering teaching unit "Docta Manus". His research integrates material innovation with structural design, particularly in textile-reinforced concrete systems and timber structures, emphasizing experimental validation of theoretical concepts through full-scale prototyping.

Florent Waltzمشاهده پروفایل

استادیار

• Mitochondrial Biology
• Cryo-Electron Tomography
• Photosynthetic Organisms
• +۳ مورد دیگر

Florent Waltz is an SNSF Ambizione Project Leader hosted at the University of Basel's Biozentrum within the Engel Lab, leading research on mitochondrial architecture in photosynthetic organisms using cutting-edge cryo-electron tomography. His work bridges structural biology, evolutionary studies, and cellular energy metabolism with a focus on green micro-algae like Chlamydomonas reinhardtii. His research program explores three interconnected themes: (1) visualizing mitochondrial architecture and remodeling using cryo-ET to understand energy production under environmental changes; (2) investigating mitochondrial evolution across eukaryotes with emphasis on photosynthetic organisms; and (3) examining molecular-level interactions between mitochondria and chloroplasts. His March 2025 Science publication on the in-cell architecture of the mitochondrial respiratory chain represents a landmark achievement in visualizing molecular machines within native cellular contexts. Waltz co-developed TomoGuide, an online resource for cryo-ET workflows, and contributed to major datasets like the 1,829-tomogram Chlamydomonas resource enabling community-driven visual proteomics. His technical innovations include MemBrain v2 for membrane analysis in cryo-ET data. SNSF Ambizione Fellowship (major Swiss early-career award) Featured on Science magazine cover (March 2025) Key contributor to open science resources for cryo-ET community As a collaborative researcher, Waltz participates in international consortia studying mitochondrial biology, plant systems, and cryo-ET methodology development. His work has established new standards for in situ structural analysis of energy-producing organelles while advancing open science through public data sharing and software tools.

• Sociology of Religion
• Secularization Studies
• Cultural Sociology
• +۳ مورد دیگر

Robert Schäfer is a Researcher in the Department of Sociology at the University of Basel's Faculty of Humanities. He specializes in the sociology of culture and religion, with particular expertise in secularization theories, non-religion, and secular worldviews. His research examines forms of critique and justification in contemporary society through qualitative empirical methods. His academic background includes sociology and religious studies studies in Bern, where he also earned his doctorate. Prior to his current position, he worked as a research associate at Magdeburg and Koblenz-Landau universities and as a senior assistant at the University of Fribourg's Department of Social Work, Social Policy and Global Development. He also serves as a sociology lecturer in the history program at FernUni Schweiz. Schäfer's recent publications demonstrate his interdisciplinary approach, spanning educational research, medical sociology, and sociological methodology. His work shows consistent engagement with theoretical frameworks examining how individuals construct meaning in secular contexts and navigate alternative belief systems. His research interests prominently feature qualitative methodologies applied to contemporary social phenomena, particularly examining how secular worldviews function in modern society and how individuals conceptualize balance in alternative medical practices.

• Cognitive Psychology
• Developmental Psychology
• Temporal Processing
• +۳ مورد دیگر

Stefan Pichelmann is a Senior Lecturer at the Department of Psychology , University of Fribourg , affiliated with the Faculty of Letters and Human Sciences. His academic work spans cognitive, developmental, and temporal processing research. Contact: stefan.pichelmann@unifr.ch | +41 26 300 7652 | RM 01 bu. C-2.110, Rue PA de Faucigny 2, 1700 Fribourg Research Focus: Pichelmann investigates cognitive mechanisms in spatial perspective-taking, time perception, and sensory integration. His work applies psychometric and experimental methods to analyze how numerical values, spatial tasks, and sensory modalities influence temporal judgments. Key Trends in Publications: Recent studies (2013–2023) emphasize spatial cognition , temporal processing , sensory integration , and cognitive workload . Articles on digit magnitude effects, mental rotation, and multisensory timing highlight interdisciplinary intersections with neuroscience and psycholinguistics. Departmental Affiliation: Active in the Department of Psychology, his research aligns with teams like Cognitive Development and Clinical Psychology, contributing to foundational and applied psychological sciences.