جست‌وجوی استاد و پژوهشگر

Nicole A. Mathysمشاهده پروفایل

استاد

• Environmental Economics
• Energy Economics
• Transport Economics
• +۳ مورد دیگر

Nicole A. Mathys is a Full Professor at the Institute of Economic Research, University of Neuchâtel, specializing in environmental, energy, transport, and territorial development economics. She teaches Environmental Economics at the Master's level and conducts research on economic sustainability, policy evaluation, and spatial dynamics. Her academic background includes: BA in Political Economy from the University of Neuchâtel (with Erasmus exchange at the University of East Anglia, UK) PhD in Economics from the University of Lausanne (2007), dissertation: "Five Essays in Trade and the Environment and Economic Geography" Professor Mathys' research centers on carbon taxation, waste management, transportation behavior, and energy transitions using empirical and spatial analysis methods. Her work connects economic activity with environmental outcomes, emphasizing Swiss policy contexts while contributing to global debates on trade and environment. Recent publications reveal a strong focus on transportation systems and energy transitions, analyzing travel behavior, carbon pricing mechanisms, and long-term scenarios for Swiss decarbonization. Key themes include policy instrument effectiveness, behavioral responses to environmental regulations, and spatial distribution of economic activities. Scientific awards: None mentioned in the provided text. She has led major research initiatives including the "Energy-Economy-Society" program at the Swiss Federal Office of Energy and currently coordinates research and innovation at the Federal Office for Spatial Development, bridging academic research with practical policy application. As head of the Bases section at the Swiss Federal Office for Spatial Development, she leads a team developing spatial development statistics and economic analyses, serving as the office's competence center for economic research and evaluation.

Andrew Lawrence Priceمشاهده پروفایل

پژوهشگر

• Computer Vision
• Robotics for Space Applications
• Machine Learning
• +۳ مورد دیگر

Andrew Lawrence Price is a Canadian Postdoctoral Researcher currently working at École Polytechnique Fédérale de Lausanne (EPFL) in both the Computer Vision Laboratory (CVLAB) within the School of Computer and Communication Sciences and the Education Services Centre (ESC). He holds a PhD in Spacecraft Robotics from Tohoku University, Japan (2019-2024), an MASc in Flight Research from National Research Council and Carleton University, Canada (2013-2015), and a B.Eng in Aerospace from Carleton University, Canada (2009-2013). Dr. Price's research focuses on the intersection of computer vision, robotics, and space applications. His work addresses critical challenges in spacecraft pose estimation, particularly for resource-constrained systems where computational capacity is limited. He has developed innovative approaches for network quantization in 6D object pose estimation, enabling high-accuracy performance with significantly reduced computational requirements. His research spans both theoretical development and practical implementation, with applications ranging from small satellite operations to asteroid exploration missions like the Hayabusa2 Minerva-II2 deployment. His publication record demonstrates a clear evolution from earlier work in aerospace acoustics and vibration analysis to his current focus on computer vision for space applications. The most recent publications reveal a strong emphasis on solving practical constraints in space missions, particularly addressing bandwidth limitations in spacecraft communications and computational constraints in onboard processing systems. His work bridges multiple disciplines, connecting aerospace engineering with cutting-edge computer vision techniques. Invited Lecturer, SPACEONOVA 2022 AI For Space Workshop Best Presentation Award, CVPR 2021 GP-Mech Exchange Scholarship, Tohoku University 2020 Recipient of the Japan Monbukagakusho MEXT Scholarship, Japan Government 2019 International Institute of Noise Control Engineering: Young Professional Grant, INTERNOISE 2017 Various Departmental and Dean's List Scholarships, Carleton University 2009-2015 As Academic Referent for the EPFL Spacecraft Team (EST), Dr. Price contributes to student-led space projects, providing guidance on technical aspects of spacecraft development. His GitHub repositories demonstrate active engagement with open-source tools for space applications, including the Orbit and Tumble Integrator project. His work spans both academic research and practical implementation, with code repositories showing his commitment to reproducible research and practical tool development for the space community.

Tobias Weinertمشاهده پروفایل

پژوهشگر

• Structural Biology
• X-ray Crystallography
• Protein Dynamics
• +۳ مورد دیگر

Dr. Tobias Weinert is a Senior Scientist and Principal Investigator (PI) at the Paul Scherrer Institute (PSI) in Switzerland, affiliated with the Laboratory of Biomolecular Research . His work focuses on advancing time-resolved serial crystallography at synchrotrons and X-ray free-electron lasers (XFELs) to study protein structural dynamics, particularly enzymes. He integrates computational tools like dimensionality reduction and machine learning with experimental methods to resolve transient structural states under functionally relevant conditions. Senior Scientist & PI at PSI Active in serial crystallography and method development His research emphasizes designing triggering strategies for non-photoactive proteins, enabling controlled molecular process initiation. He also supports serial crystallography activities at PSI’s Laboratory of Biomolecular Research (LBR), contributing expertise in experimental design, data acquisition, and processing. Key publications highlight applications in enzyme mechanisms , photoreceptors , and time-resolved structural analysis , with a focus on bridging experimental and computational approaches. Recent articles demonstrate trends in serial synchrotron crystallography , light-activated proteins , and X-ray free-electron laser applications , often addressing conformational changes and kinetic modeling.

Valérie Panneelsمشاهده پروفایل

پژوهشگر

• Membrane Proteins
• Structural Biology
• Biophysics
• +۴ مورد دیگر

Dr. Valérie Panneels is a Senior Scientist at the Laboratory of Biomolecular Research within the Paul Scherrer Institute (PSI) in Switzerland. Her research focuses on the structural dynamics of integral membrane proteins, particularly G protein-coupled receptors (GPCRs) and light-sensitive pumps, using advanced biophysical techniques. Her primary research interests include: Molecular mechanisms of cellular signal transduction via receptors and transporters Structural characterization of membrane proteins using X-ray free electron lasers (SwissFEL), synchrotrons, and electron microscopy Development of methodologies for membrane protein expression, purification, and crystallization Time-resolved studies of photoreceptor dynamics at femtosecond-to-millisecond timescales Dr. Panneels' publications demonstrate a consistent focus on time-resolved structural biology of photoreceptive proteins, with recurring themes in rhodopsin dynamics, bacteriorhodopsin photocycles, and innovative crystallography methods. Her work frequently employs cutting-edge X-ray sources and contributes to methodological advances in membrane protein studies. She leads research projects at PSI's biomolecular laboratory, collaborating with international teams on structural biology initiatives involving synchrotron radiation and free-electron laser facilities.

Ching-Ju Tsaiمشاهده پروفایل

پژوهشگر

• G-protein coupled receptors (GPCRs)
• Signal transduction
• Structural biology
• +۳ مورد دیگر

Dr. Ching-Ju Tsai is a Research Scientist at the Paul Scherrer Institute (PSI) in Switzerland, affiliated with the Laboratory of Biomolecular Research. Her work focuses on G-protein coupled receptors (GPCRs) and their role in signal transduction, employing advanced structural biology techniques like X-ray crystallography and cryo-electron microscopy (cryo-EM). Research Highlights: Deciphering GPCR-G protein coupling selectivity, structural characterization of bistable rhodopsins, and development of novel crystallization supports. Technical Expertise: X-ray crystallography, cryo-EM, biochemical techniques, serial femtosecond crystallography, and membrane protein stabilization. The trends in her recent publications emphasize structural insights into GPCR activation mechanisms, chemokine receptor signaling, and methodological advances in membrane protein crystallography. Her work bridges structural biology and pharmacology, targeting GPCRs as key drug discovery elements. PhD Supervision: Lea Jänisch (ETH Zurich, 2024–present) Oliver Miguel Tejero (ETH Zurich, 2020–2024) Filip Karol Pamula (ETH Zurich, 2017–2021)

Joshua Weberمشاهده پروفایل

پژوهشگر

• Social Work
• Digital Humanities
• Digitalization in Social Work
• +۳ مورد دیگر

Joshua Weber is a Research Associate at the University Center, School of Social Work FHNW , where he focuses on digitalization in social work and specialized software development. He is concurrently a doctoral student at the University of Cologne, Faculty of Human Sciences since 2018. Education: Master's (2012–2014) and Bachelor's (2008–2012) in Social Work from Evangelical University of Freiburg Professional Experience: Research roles at University Center (2017–present), Evangelical University of Freiburg (2014–2016), and Mannheim University of Applied Sciences (2014–2015) His research explores digitalization in social work , including specialist software, curricular integration, and materiality-sensitive approaches. He has published extensively on AI empowerment, ecosystemic competency models, and sociotechnical systems in peer-reviewed journals and conferences. Recent work includes collaborations on Actor-Network Theory and digital artifacts in social contexts. Joshua teaches courses like BA 101: Social Work as a Science and Profession and BA 115: Support for BA theses Digitalization , emphasizing digital transformation in social work. He is active in the German Society for Social Work (Specialist Group: Digitalization) and Swiss Society for Social Work (Expert Commission: Digitalization) . Key contributions include framing digital participation in software development, AI-driven educational tools, and ethical considerations in digital social work. His work bridges academic research with practical implementation through projects like Fachsoftware selection frameworks and digital competency models for universities.

Didier Wernliمشاهده پروفایل

دانشیار

• Global Governance
• Infectious Diseases
• One Health
• +۷ مورد دیگر

Didier Wernli is an Associate Professor at the University of Geneva, affiliated with both the Global Studies Institute and the Department of Computer Science within the Faculty of Science. His research specializes in global governance of infectious diseases through a One Health lens, emphasizing resilience, institutional complexity, and evidence-policy linkages. Education: MD (University of Geneva), MA (Graduate Institute of International and Development Studies), PhD (Global Studies Institute, University of Geneva) Former: Visiting Assistant Professor at University of Hong Kong's School of Public Health (2018-2021) Research interests span interdisciplinary domains including: Antimicrobial resistance governance Computational diplomacy and network analysis Social-ecological resilience Global health policy integration Adaptive governance systems Historical policy evolution (e.g., WHO Assembly resolutions) Publications reveal expertise in: Antibiotic resistance trends across 73 countries Resilience frameworks in health systems One Health implementation in food systems Computational models for global health diplomacy Sustainable development policy alignment Climate change impacts on resistance patterns He co-founded and directs the Geneva Transformative Governance Lab, which focuses on collaborative solutions to global challenges. Didier also coordinates doctoral programs in Global Studies and teaches global health, systems science, and interdisciplinary methodology at both bachelor's (International Relations) and master's (Global Health) levels.

Federico Germaniمشاهده پروفایل

پژوهشگر ارشد

• Disinformation
• Misinformation
• Infodemic Management
• +۱۲ مورد دیگر

Federico Germani, a postdoctoral researcher at the Institute of Biomedical Ethics and History of Medicine (IBME) within the Faculty of Medicine at the University of Zurich, holds a PhD in Molecular Life Sciences and additional qualifications in International Relations. He founded Culturico, a non-profit cultural platform combating misinformation, and serves as a rapporteur for the World Health Organization (WHO) on infodemic ethics. His work bridges biomedical research, digital society, and public health ethics. Bachelor's in Biology, University of Milan (2013) Master's in Cellular and Molecular Biology, University of Milan (2015) PhD in Molecular Life Sciences, University of Zurich (2019) Graduate Diploma in International Relations, University of London (2018) Federico's research focuses on digital misinformation, pandemic preparedness, and ethical frameworks for AI in health communication. His expertise spans infodemic management, information literacy, and the intersection of technology and ethics. His recent work explores AI-driven disinformation mechanisms, systematic evaluation biases in language models, and critical thinking interventions. His 15 most recent publications (2025-2024) address AI ethics, pandemic communication, and misinformation analysis. Articles include topics such as algorithmic accountability, emotional bias in AI, and preference epidemiology for patient-centered healthcare.

Bithiah Yuanمشاهده پروفایل

پژوهشگر

• Human-AI Collaboration
• Explainable AI
• Machine Learning
• +۴ مورد دیگر

Bithiah Yuan is a Doctoral Candidate in Informatics at the University of Zurich, where she works as a Researcher in the Information Management Research Group. She also holds a Research Associate position at the HIAS LAB (Berner Fachhochschule) since 2025. Doctoral Candidate, Informatics, University of Zurich (2025–present) Research Associate, HIAS LAB, Berner Fachhochschule (2025–present) Clinical Psychology Intern, Psychiatric Center Upper Valais (2024) Her research focuses on Human-AI Collaboration, Explainable AI, and Machine Learning, with applications in Financial Question Answering systems. She developed FinBERT-QA , a BERT-based system for financial domain QA that improved state-of-the-art results by ~20% on ranking metrics. Key technical contributions include integrating Anserini for BM25 retrieval, developing pointwise and pairwise learning approaches for BERT fine-tuning, and creating open-source tools for financial data processing. Her work combines Information Retrieval, Deep Learning, and Financial Data Analysis. She has previously worked as a Founding Data Scientist (Genova AI), UX Consultant (Motionworks), and Developer Experience Engineer (Jina AI). Her internships included Mathematics research at University of Maryland (funded by NSF) and Texas A&M University.

• Machine Translation
• Natural Language Processing
• Computational Linguistics
• +۷ مورد دیگر

Pierrette Bouillon is affiliated with the University of Geneva as a researcher, focusing on machine translation, accessible communication, and language technology applications in healthcare. Her work bridges computational linguistics, speech processing, and inclusive design. Institution: University of Geneva Research Focus: Medical translation, sign language processing, text/pictograph translation Research Interests : Bouillon specializes in machine translation and computational linguistics , with particular emphasis on: Accessible communication for patients with language barriers Sign language and pictograph translation systems (e.g., BabelDr) Speech-to-speech translation in emergency settings Text simplification for intellectual disabilities Historical French normalization for NLP Multilingual speech recognition and post-editing Article Trends : Her recent publications highlight the integration of large language models with accessibility tools in healthcare, focusing on Swiss French sign language corpora , pictograph sequences , and spontaneous speech simplification . Work spans both NLP and human-computer interaction in medical contexts. Education and Teaching : While specific educational details are omitted, Bouillon contributes to translation pedagogy through tools like COPECO and MT3 , integrating speech technologies into post-editing workflows.

• Soil Erosion
• Land Degradation
• Soil Health
• +۳ مورد دیگر

Pasquale Borrelli serves as a scientific Assistant at the University of Basel within the Department of Environmental Sciences under the Faculty of Humanities and Natural Sciences. Based at Bernoullistrasse 30/32 in Basel, Switzerland, he conducts research focused on soil erosion processes and land degradation assessment across European landscapes. His work bridges field measurements with digital monitoring approaches to address critical environmental challenges. Dr. Borrelli's research interests center on soil erosion dynamics, particularly gully erosion monitoring systems, rainfall erosivity modeling, and post-fire soil degradation processes. His work contributes to European environmental policy by developing standardized assessment methods for land degradation that can inform the EU Soil Observatory and Soil Deal initiatives. His methodological approach combines traditional field surveys with innovative digital tools for comprehensive environmental assessment. Current research projects led by Dr. Borrelli include MONNALISA (Monitoring and Assessment of prevention and restoration solutions to combat desertification), accelerating soil health information collection using AI technology for the EU Soil Observatory, and studying Mediterranean olive grove biodiversity in relation to land management practices. These projects reflect his commitment to developing practical solutions for soil conservation and sustainable land management across Europe. Dr. Borrelli maintains active research collaborations across European institutions, with recent publications appearing in high-impact journals including Scientific Data and Journal of Hydrology. His work on bias-corrected rainfall erosivity time series represents a significant methodological advancement for soil erosion modeling across diverse European climatic zones.

Tabea Eberliمشاهده پروفایل

پژوهشگر

• Self-Regulated Learning
• Educational Psychology
• Secondary School Pedagogy
• +۳ مورد دیگر

Tabea Eberli is a researcher at the University of Zurich , affiliated with the Chair of Secondary School Pedagogy and Teaching and Learning Research under Prof. Dr. Yves Karlen. Her work focuses on enhancing teacher professional competencies and student learning outcomes through empirical studies on self-regulated learning and diagnostic assessment. Institution: University of Zurich Role: Researcher Research Focus: Self-Regulated Learning, Teacher Motivation, Diagnostic Competence Research Interests Her research investigates the design of self-regulated learning processes, development of diagnostic tools for interdisciplinary learning, and mechanisms linking mindsets and motivation to educational outcomes. She emphasizes bridging academic research with classroom practice to empower educators and students in digitalized environments. Publication Trends Her recent articles analyze professional development programs for teachers, digital tools for assessing self-regulated learning, and frameworks for linking teacher competence to student metacognition. Themes include diagnostic judgment accuracy, expectancy-value theory, and classroom-based interventions for fostering lifelong learning. Collaborations She collaborates with Prof. Yves Karlen, Dr. Corina Hirt, and other researchers on longitudinal studies and randomized control trials, often published in journals like Teaching and Teacher Education and Metacognition and Learning .

Felix Naefمشاهده پروفایل

استاد

• Circadian Rhythms
• Computational Biology
• Systems Biology
• +۶ مورد دیگر

Prof. Felix Naef is a Full Professor at EPFL's School of Life Sciences (SV), leading the Laboratory of Computational and Systems Biology within the Institute of Bioengineering (IBI). His research focuses on quantitative systems biology, integrating theoretical, computational, and experimental approaches to study circadian rhythms, gene regulation, and cellular dynamics. He holds additional roles in teaching and administration, including membership in the Doctoral Program Committee for Computational and Quantitative Biology and the CDS Office. Education: PhD in Physics, EPFL (2000) Postdoctoral training at Rockefeller University (2000-2004) Research Interests: Circadian gene regulatory networks and liver chronobiology Single-cell analysis of transcriptional bursting and noise Systems biology of developmental patterning and metabolic pathways Integration of multi-omics data to model biological oscillators Key Contributions: Pioneered methods to infer circadian time from omics data Discovered space-time interactions in liver zonation and gene expression Advanced understanding of ribosome dynamics and translation elongation Awards: EMBO Member (2020) SNSF Sinergia Grant (2022) Advising & Grants: Supervised over 30 PhD students and postdocs Funded by SNSF, EU Horizon 2020, and industry collaborations Laboratory: The Naef Lab is part of EPFL's IBI, collaborating globally to address fundamental questions in systems biology and chronobiology.

• Visual Communication
• Digital Storytelling
• Data Visualization
• +۴ مورد دیگر

Prof. Dr. Wibke Weber is a full professor of Media Linguistics specializing in Visual Communication at ZHAW School of Applied Linguistics. She serves as Programme Director for the BA Communication and Media Studies and holds leadership roles in academic journals and international research projects. Her work focuses on visual storytelling, data visualization, and immersive technologies like AR/VR/MR. Education: PhD in Media Linguistics, Goethe University (1996) M.A. in German Literature, Film Studies, and Spanish Literature, Goethe University (1992-1996) Research Interests: Visual Communication Semiotics/Rhetoric Immersive Environments (AR/VR/MR) Comics Journalism Ethics Data Visualization Design Multimodal Communication Theory Awards: Top Faculty Paper Award (ICA, 2023) MEDIDA-PRIX Finalist (2009) U.S. State Department Leadership Program (2009) Grants & Projects: LEarning from the pAst: Digitized past pandemics in Switzerland Doing good with Virtual Reality? (political decision-making study) Bridging the gap: Dialogues between scientists and policymakers Her research lab explores future media trends through projects like Enhance Your Photo With Interestingness and Authenticity Revisited in immersive environments.

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۳ مورد دیگر

Dr. Don Tuggener is a Researcher at the ZHAW Zurich University of Applied Sciences' School of Engineering, affiliated with the Centre for Artificial Intelligence. His work focuses on Natural Language Processing (NLP), Computational Linguistics, and Machine Learning applications in professional training and AI evaluation. He leads or collaborates on projects such as Meaning@Work (stress management for healthcare professionals), Virtual Kids (child interrogation training), and Favi-Score (bias detection in AI evaluation). His research emphasizes dialogue systems, generative AI ethics, and legal text analysis. Key projects include developing frameworks for conversational AI evaluation (Spot The Bot), large-scale legal text classification (LEDGAR corpus), and innovative training tools using LLMs. He has contributed to over 30 peer-reviewed publications since 2011, spanning topics like compound splitting in German, coreference resolution, and generative AI applications in professional contexts. As an editor for SwissText conferences and reviewer for ACL/EMNLP, he actively participates in the NLP academic community. Project Leadership: Virtual Kids, Interscriber Deputy Leadership: AutoNews, PRISM, SCAI Core Research Themes: AI ethics, dialogue systems, legal NLP Recent work highlights AI's role in professional education (e.g., investigative interviews with children) and societal challenges (hate speech mitigation via social influencers).