جستجوی استاد راهنمای دانشگاهی

Sonia I. Seneviratneمشاهده پروفایل

استاد

• Climate Science
• Climate Extremes
• Land-Climate Interactions
• +۳ مورد دیگر

Prof. Sonia I. Seneviratne is a Full Professor at ETH Zurich's Department of Environmental Systems Science and Head of the Institute for Atmospheric and Climate Science. Her research focuses on climate extremes, land-climate interactions, and human-induced climate change, utilizing climate models, satellite data, and ground observations. She has published over 200 peer-reviewed articles and holds significant roles in the IPCC, including leading authorship of the 1.5°C Special Report and coordinating lead author of the 6th Assessment Report. Education: BSc Biology (University of Lausanne, 1995), MSc Environmental Physics (ETH Zurich, 1999), PhD Climate Science (ETH Zurich, 2003). Postdoctoral work included visiting research at NASA/Goddard (2003-2004). Academic career milestones: Assistant Professor (2007), Associate Professor (2013), Full Professor (2016). Research interests include droughts, heatwaves, land-cover impacts on regional climate, and climate modeling. Her work emphasizes quantifying climate change effects on ecosystems and society, with a focus on compounding extremes and mitigation pathways. Awards: Honorary Doctorate (Utrecht University, 2023) ERC Consolidator and Proof-of-Concept Grants Hans-Oeschger Medal (EGU, 2021) James B. Macelwane Medal (AGU, 2013) Advising and grants: Supervises doctoral students in climate science and leads major research initiatives funded by ERC and international collaborations. Her work informs climate policy and adaptation strategies globally. Labs/Teams: Directs the Institute for Atmospheric and Climate Science at ETH Zurich, fostering interdisciplinary research on climate dynamics and Earth system interactions.

Halldór Janetzkoمشاهده پروفایل

استاد

• Visual Analytics
• Data Science
• Information Visualization
• +۳ مورد دیگر

Halldór Janetzko is a Professor at the Lucerne School of Computer Science and Information Technology, part of Lucerne University of Applied Sciences and Arts. His expertise lies in Visual Analytics, Data Science, and Information Visualization. He holds a PhD in Computer Science (2015) and dual Master's and Bachelor's degrees in Information Engineering from the University of Konstanz. Research focuses on integrating temporal, geospatial, and multi-dimensional data analysis, particularly through projects like Visual Analytics for Soccer, Geospatial Sentiment Analysis, and Energy Consumption Monitoring. His work emphasizes user-centric systems for pattern discovery and decision-making support. Education: PhD in Computer Science, University of Konstanz (2015) MSc in Information Engineering, University of Konstanz (2010) BSc in Information Engineering, University of Konstanz (2008) Teaching includes Programming Fundamentals, Data Visualization, and Geographic Information Systems. He has led multiple research initiatives, including the Smart Region Lab and energy transition visualization projects. His work bridges computational methods with real-world applications in sports, urban planning, and environmental monitoring.

Arzu Çöltekinمشاهده پروفایل

استاد

• Human-Computer Interaction
• Visual Analytics
• Visualization
• +۵ مورد دیگر

Prof. Dr. Arzu Çöltekin is a distinguished academic at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). As Head of the Institute for Interactive Technologies, she serves as a Professor of Human-Computer Interaction, Visualization, and Extended Reality, leading innovative research in these domains. Her work extends beyond FHNW as a research affiliate at the Seamless Astronomy group of Harvard-Smithsonian Center for Astrophysics. Her research interests span Human-Computer Interaction Visual Analytics Geospatial Visualization Eye Tracking Virtual and Augmented Reality Recent publications focus on visual perception, terrain visualization challenges, and cognitive training applications of extended reality. She has received significant recognition including the Google Faculty Research Award and best paper accolades. Key scientific contributions include Understanding visual complexity Advancing gaze-contingent displays Evaluating spatial cognition

• Geospatial Analytics
• Environmental Impact Assessment
• Sustainable Development
• +۴ مورد دیگر

Patrick Laube is a Professor at the Zurich University of Applied Sciences (ZHAW) , affiliated with the School of Life Sciences and Facility Management and the Institute of Natural Resource Sciences. His research focuses on geospatial analytics, environmental impact assessment, and computational movement analysis, with applications in biodiversity monitoring, sustainable urban development, and remote sensing. 2025 - Assessing tick attachments with citizen science data 2024 - Anthropogenic legacy in freshwater ecosystems His work integrates spatio-temporal data analysis to address environmental and social dynamics, particularly in tracking biodiversity loss and optimizing sustainable construction projects. Recent publications highlight advancements in river width monitoring and wildlife-vehicle collision prediction using GIS and remote sensing. Key projects include Sustainable Protein and Oil Crops for Swiss food systems, Digitising Environmental Impacts with geospatial tools, and Climate Rating for Real Estate Portfolios . He contributes to spatial sustainable finance and historical river change analysis.

• Construction Project Management
• Building Information Modeling (BIM)
• Geographic Information Systems (GIS)
• +۴ مورد دیگر

Domer Bernd is an Associate Professor at the Geneva School of Landscape, Engineering and Architecture (HES-SO), part of the University of Applied Sciences and Arts Western Switzerland. He serves as Head of the MIC Group, Member of the Bauen digital Switzerland committee, Member of the EG-ICE committee, and Co-director of the CAS for BIM coordination. His work focuses on advancing digital technologies in the Architecture, Engineering, and Construction (AEC) industry. Professor Bernd holds a BA HES-SO in Architecture from the Geneva School of Landscape, Engineering and Architecture, a BSc in Civil Engineering from EPFL, a BSc HES-SO in Civil Engineering from the Geneva School, and an MSc HES-SO in Engineering. His academic background spans both theoretical and practical aspects of construction engineering and digital technologies. Domer Bernd's research interests center around digital transformation in construction, with particular expertise in Building Information Modeling (BIM), Geographic Information Systems (GIS), digital modeling of built assets, and the application of Artificial Intelligence in the AEC industry. His work addresses critical challenges in construction project management, infrastructure digitalization, and subsurface modeling. His extensive publication record demonstrates a strong focus on BIM-GIS interoperability, digital workflows for infrastructure projects, and subsurface modeling. Recent work shows increasing emphasis on automation of digital processes, integration of AI in construction, and practical implementation of BIM standards in real-world projects, particularly for infrastructure and underground applications. Professor Bernd leads multiple research projects including CU_OFROU_PAB (funded by OFROU), SousEtoile (funded by the State of Geneva), Flash Learn BIM (funded by HES-SO), and several completed projects such as BridgeTwin, digiMabs, and InnoSubsurface. These projects collectively represent over 1.6 million CHF in research funding, demonstrating significant institutional support for his work. As Head of the MIC Group, Bernd oversees research activities focused on digital construction technologies, BIM implementation, and infrastructure modeling. The group collaborates with academic institutions across Switzerland and professional partners in the construction industry, creating a robust ecosystem for applied research in digital construction.

Konrad Tiefenbacherمشاهده پروفایل

استادیار

• Climate Science
• Remote Sensing
• Artificial Intelligence
• +۵ مورد دیگر

Konrad Tiefenbacher is a dual tenure-track Assistant Professor at the University of Basel and ETH Zürich, holding positions in the Department of Chemistry (Basel) and the Department of Biosystems Science and Engineering (ETH Zürich). He specializes in applying artificial intelligence and remote sensing to study glaciology, climate science, and environmental systems. His research bridges molecular synthesis (from his PhD in natural product chemistry) with cutting-edge AI-driven Earth observation. Education: Chemical studies at the Technical University of Vienna and University of Texas at Austin, followed by a PhD under Prof. Mulzer (University of Vienna) focusing on total synthesis of bioactive natural products. Postdoctoral research in molecular recognition at The Scripps Research Institute (Prof. Rebek). Became an independent researcher at TU Munich in 2012 before his current dual appointment since 2016. Research interests include deep learning for glacier calving front detection, retrogressive thaw slump mapping, GNSS reflectometry, and self-supervised environmental monitoring. His work integrates multi-sensor data and transformer networks for climate foundation models, with projects like AI-CORE addressing Arctic and Antarctic cryosphere challenges. Publications emphasize AI applications in polar regions, such as calving front dynamics in Greenland/Svalbard, permafrost disturbances, and methane detection. His methods combine semantic segmentation (e.g., PixelDINO) and transformer architectures (DDM-Former) for high-resolution Earth surface analysis. Labs/Teams: Leads the Synthesis of Functional Modules group, collaborating on AI-driven environmental monitoring tools and large-scale datasets like DARTS and IceLines.

• Seismic Hazard Assessment
• Ground Motion Modeling
• Site Effects Analysis
• +۶ مورد دیگر

Dr. Afifa Imtiaz is a scientific researcher at the Swiss Seismological Service (SED), ETH Zurich, since 2019. Her work focuses on earthquake hazard and risk assessment, particularly in Basel, Switzerland. She specializes in seismic ground motion analysis, site effects, and microzonation studies. Dr. Imtiaz holds a PhD in Engineering Seismology from Grenoble Alpes University (2015) and has extensive postdoctoral experience in France and Switzerland. Education: PhD in Engineering Seismology (2015), Grenoble Alpes University MSc in Engineering Seismology (2011), Grenoble Alpes University Research Interests: Dr. Imtiaz investigates spatial variability of ground motion in active seismic regions, focusing on basin effects and near-source dynamics. She develops numerical models to predict amplification and coherence patterns, with applications to urban risk assessment. Her work integrates geophysical data (e.g., shear-wave velocity profiles) with probabilistic risk frameworks. Key Projects: ARES PRD: Earthquake risk reduction in Haiti ANR EXAMIN: Ground motion variability for industrial infrastructure IMAGE: Geothermal exploration in sedimentary basins Basel Urban Seismic Risk Model: 3D geological-seismological integration Scientific Contributions: Her research bridges seismic hazard modeling with practical risk mitigation, particularly in urban environments. She has pioneered methods for combining ambient noise data with morphometric analyses to map resonance effects. Recent work focuses on scenario-based loss assessments and probabilistic amplification mapping.

Robert Weibelمشاهده پروفایل

استاد

• Geographic Information Science
• Cartographic Generalization
• Movement Analysis
• +۱۰ مورد دیگر

Robert Weibel is a Professor in the Department of Geography at the University of Zurich, where he conducts cutting-edge research in Geographic Information Science (GIScience), cartographic generalization, movement analysis, and human mobility. His work bridges computer science, geography, and health sciences, with strong applications in aging, environmental monitoring, and urban planning. Research Interests: His primary research areas include: Computational movement analysis and trajectory modeling Cartographic and map generalization using AI and deep learning Indoor and outdoor navigation systems Spatial cognition and human mobility GIScience and geospatial data science Linguistic geography and dialect modeling Publication Trends: His recent publications (2023–2025) reflect a strong focus on AI-driven map generalization (e.g., SpaGAN, GNNs), explainable AI in cartography, indoor navigation modeling, and interdisciplinary studies on human mobility in aging and post-stroke recovery. He frequently publishes in top journals such as the International Journal of Geographical Information Science , ISPRS Journal , and Computers, Environment and Urban Systems . Scientific Contributions: Robert Weibel is a leading figure in GIScience, particularly in map generalization and movement data science. He has contributed to major research initiatives including the MOBITEC-Stroke project and has co-organized key conferences like GIScience. His work on real-time generalization, semantic modeling, and deep learning for cartography has advanced the field significantly. Advising and Collaboration: He has supervised numerous students and collaborators across disciplines, including in gerontology, computer science, and ecology. His research often involves interdisciplinary teams and international partnerships. Labs and Teams: He is affiliated with the GIScience research group at the University of Zurich, contributing to projects involving mobile mapping, real-time data processing, and spatial analytics. His work is integral to the development of intelligent geospatial systems and e-learning in GIS (e.g., the GITTA project).

• Applied Microeconomics
• Microeconometrics
• Labor Economics
• +۸ مورد دیگر

Mattia Albertini is a Post-Doctoral Researcher at the Institute for Economic Research (IRE) within the Faculty of Economics at Università della Svizzera italiana (USI). He previously completed his Ph.D. at the Institute of Economics (IdEP), USI, and participated in the Swiss Program for Beginning Doctoral Students in Economics. He holds a Master of Science in Economics with a minor in Data Science from USI and a Bachelor in Economics from the University of Pavia. Bachelor in Economics, University of Pavia Master of Science in Economics (minor in Data Science), Università della Svizzera italiana Ph.D. in Economics, Università della Svizzera italiana Swiss Program for Beginning Doctoral Students in Economics, Swiss National Bank His research focuses on applied microeconometrics with applications in health, labor, public, urban, and environmental economics. A recurring theme in his work is the spatial dimension of economic outcomes, including residential integration, real estate market dynamics, and geographic proximity to borders or hazards. He integrates data science techniques, particularly programming in Python and STATA, to develop tools for empirical analysis and reproducible research. The collection of articles reflects a strong trend in applied econometrics, causal inference, and spatial analysis. His work spans health economics (e.g., benzodiazepine prescribing), labor and urban economics (e.g., migration, job accessibility), and environmental and insurance economics (e.g., natural hazard impacts). Methodologically, he engages with difference-in-differences, event study designs, spatial modeling, and text analysis, often building or applying computational tools to address research questions. He has contributed to teaching at both the Bachelor's and Master's levels, particularly in microeconomics, macroeconomics, and data-intensive courses such as Textual Analysis and Spatial Data for Economists. Teaching Assistant, Microeconomics A (Bachelor) Teaching Assistant, Macroeconomics B (Bachelor) Teaching Assistant, Textual Analysis and Spatial Data for Economists (Master) Mattia Albertini is actively involved in open science, sharing code for econometric methods, data visualization, and application development (e.g., a gluten-checking app) on GitHub. His interdisciplinary approach combines economic theory, statistical modeling, and computational tools to investigate real-world policy-relevant questions.

Nianfang Shiمشاهده پروفایل

پژوهشگر

• Point Cloud Visualization
• Geomonitoring
• Geomatics
• +۳ مورد دیگر

Nianfang Shi is a researcher at ETH Zurich, affiliated with the Department of Geosensors and Engineering Geodesy. She received her bachelor's degree in Geographical Information Science from Beijing Normal University in 2020 and her master's degree in Geomatics from ETH Zurich in 2024. Research Interests: Her work focuses on Point cloud visualization Geomonitoring These areas align with her academic background in geomatics and GIS, contributing to geospatial data analysis and engineering geodesy. Contact: Based at Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland, she serves as a scientific assistant since December 2024.

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

Samuel Frei serves as a Lecturer at the Lucerne University of Applied Sciences and Arts – School of Design, Film and Art, where he teaches Visual Communication and Data Visualization across Bachelor's and Master's programs including the Applied Information and Data Science and MA Design curricula. His academic journey began after a career shift from biology and finance, completing a Master's in Design in 2011 followed by dissertation research at University College Dublin's SMARTLab (2012-2020). His research focuses on the intersection of analog and digital media, particularly in immersive technologies (AR/MR/VR) , cultural heritage digitization , and data storytelling . Key projects include the Digital Storytelling Lab, ALE (UNESCO World Heritage mobile experiences), and IDN-Kommunale Energie-Transformation. His work consistently explores how mobile and immersive technologies transform learning in cultural institutions and tourism contexts. Frei's 2024-2022 publications reveal a strong trend toward geospatial data visualization in tourism, cultural heritage preservation through mixed realities , and participatory digital archiving , often involving Swiss parks, museums, and indigenous communities like Amazonian collectives. His work bridges technical development with human-centered design principles. Nomination for Swiss Design Prize 2017 (Research category) Best of Swiss App Award 2016 (2x Bronze for ALE project) As former coordinator (2013-2023) and director (4 years) of continuing education programs, he managed interdisciplinary collaborations with cultural institutions, nature conservation groups, and educational organizations. His current leadership of the Investigative Methods in Research Practice module (2025) demonstrates ongoing curriculum development. Frei also maintains professional practice as an illustrator and concept designer, applying research to real-world projects in conservation and cultural sectors. His Visual Narrative research group serves as the primary laboratory context, producing projects like the Digital Storytelling Lab and Virtuelles Museum that integrate mobile technologies, indigenous knowledge systems, and emerging AI/AR platforms for cultural engagement.