جست‌وجوی استاد و پژوهشگر

Victor Boussangeمشاهده پروفایل

پژوهشگر

• Ecology and evolution
• Scientific machine learning
• Complex dynamical systems
• +۳ مورد دیگر

Victor Boussange is a Postdoctoral Researcher at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) and the Department of Environmental Systems Science (D-USYS) at ETH Zurich. His research focuses on integrating scientific machine learning with ecological and evolutionary modeling to understand complex systems dynamics. He holds a PhD in Environmental Sciences from ETH Zurich (2022) and an MSc in Energy and Environmental Sciences from INSA Lyon (2018). Primary affiliation: Dynamic Macroecology Group at WSL Secondary affiliation: D-USYS, ETH Zurich Research Interests: Development of hybrid mechanistic-machine learning frameworks to model ecosystem responses to disturbances, ecological connectivity analysis, and eco-evolutionary dynamics. His work emphasizes interpretable models and scalable computational methods. Publications highlight contributions to high-dimensional PDE solvers (HighDimPDE.jl), inverse modeling frameworks (PiecewiseInference.jl), and ecological connectivity prioritization (JAXScape). His work bridges theoretical ecology with computational tools for real-world applications like biodiversity conservation and climate change impact assessment.

• Environmental Systems Science
• Ecosystem Ecology
• Flood Modeling
• +۳ مورد دیگر

Dr. Priyanka Chaudhary is a Researcher affiliated with the Professorship for Global Ecosystem Ecology at ETH Zurich's Department of Environmental Systems Science . Her work focuses on integrating computational methods with environmental science, particularly in flood modeling and disaster risk assessment. She contributes to advancing methodologies for water resource management and urban resilience through deep learning and social media data analytics. Her research interests span ecosystem ecology , flood prediction systems , and environmental monitoring technologies . Notably, she develops innovative approaches using convolutional neural networks and ensemble methods to estimate flood depths and uncertainties. Recent work leverages social media imagery for real-time flood level estimation, enhancing crisis response capabilities. Dr. Chaudhary's publications reflect a strong emphasis on interdisciplinary solutions to environmental challenges, combining hydrology, computer science, and geospatial analysis. Her contributions highlight the potential of data-driven methods in addressing global environmental issues such as climate change impacts and urban flood risk mitigation.

Jan Hennebergerمشاهده پروفایل

مدرس

• Atmospheric Science
• Cloud Physics
• Mixed-Phase Clouds
• +۴ مورد دیگر

Dr. Jan Henneberger is a Lecturer at ETH Zurich's Department of Environmental Systems Science (D-USYS), specializing in cloud physics and atmospheric processes. His research focuses on mixed-phase clouds, ice crystal dynamics, and the development of advanced observational techniques like holographic imaging. He is affiliated with the Institut für Atmosphäre und Klima (Institute for Atmosphere and Climate) and leads projects such as the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) and CLOUDLAB, which investigate cloud microphysics in Arctic and Alpine environments. His work integrates field measurements, remote sensing, and computational methods to understand processes like secondary ice production, ice-nucleating particles, and aerosol-cloud interactions. Key contributions include the development of the HoloSuite software for analyzing holographic cloud data and deploying novel platforms like tethered balloons and UAVs for in-situ observations. Research interests span Arctic climate dynamics, mountain meteorology, and the impacts of cloud microphysics on climate feedbacks. His studies frequently involve collaborations with international teams and cutting-edge instrumentation to advance environmental science and climate modeling. Education: PhD in Atmospheric Science (ETH Zurich) Labs/Teams: Institut für Atmosphäre und Klima, CLOUDLAB, NASCENT Grants: Multiple funding sources for Arctic and Alpine field campaigns.

Janneke Hille Ris Lambersمشاهده پروفایل

استاد

• Plant Ecology
• Community Ecology
• Global Change Biology
• +۶ مورد دیگر

Prof. Janneke Hille Ris Lambers is a Full Professor at the Department of Environmental Systems Science, ETH Zürich, specializing in plant community ecology and global change impacts. Her work focuses on plant coexistence mechanisms, climate-driven shifts in species distributions, and ecological responses to environmental changes. She leads research projects on mast seeding, seedling regeneration niches, alpine phenology, and climate refugia. Education and Career: She holds a B.A. from the University of Virginia and a Ph.D. from Duke University (USA). Postdoctoral training included positions at the University of Minnesota and University of California, Santa Barbara. She served as an Assistant Professor at the University of Washington, Seattle before joining ETH Zürich in 2020. Research Themes: Climate change effects on plant communities Phenological shifts and biodiversity Seed dispersal and niche dynamics Forest resilience to extreme events Teaching: Offers courses on plant sciences, ecological processes, and environmental biology. Active in citizen science initiatives like MeadoWatch to track wildflower phenology. Key Projects: Investigates alpine floral reassembly with warming, climate lag effects on species ranges, and microclimate buffering in forests. Integrates remote sensing and machine learning to analyze large ecological datasets.

Lukas Hörtnaglمشاهده پروفایل

پژوهشگر

• Environmental Science
• Biogeochemistry
• Ecosystem Fluxes
• +۳ مورد دیگر

Dr. Lukas Hörtnagl is a Researcher at ETH Zurich's Department of Environmental Systems Science (D-USYS), affiliated with the Professorship for Grassland Sciences. He holds a Ph.D. in Terrestrial Ecology and Limnology from the University of Innsbruck (2011), with postdoctoral research focused on biogenic volatile organic compound fluxes. Since 2018, he has served as a Data Scientist at ETH Zurich. His expertise centers on ecosystem-atmosphere gas exchanges, including CH4, N2O, CO2, and VOC fluxes. He contributes to major projects like ICOS-CH (Integrated Carbon Observation System Switzerland) and SwissFluxNet, leading long-term monitoring of carbon and water fluxes across ecosystems. His work integrates field measurements, remote sensing, and modeling to understand climate-ecosystem interactions. Key research themes include drought impacts on forest ecosystems, agricultural greenhouse gas mitigation, and methodological advancements in eddy covariance systems. He has published extensively on topics such as ecosystem respiration, carbon sequestration dynamics, and the physiological responses of plants to environmental stressors. Dr. Hörtnagl collaborates globally on initiatives like FLUXCOM-X and the FLUXNET network, emphasizing standardized data collection and cross-site comparisons. His research bridges applied and theoretical ecology, with implications for climate policy and sustainable land management.

Robert Jnglin Willsمشاهده پروفایل

استادیار

• Climate Dynamics
• Atmospheric Circulation
• Oceanography
• +۷ مورد دیگر

Robert Jnglin Wills is an Assistant Professor in the Department of Environmental Systems Science at ETH Zurich, leading the Climate Dynamics Group. His research focuses on understanding large-scale atmospheric and oceanic circulation changes, their impacts on regional climate, and improving climate projections through advanced modeling and data science techniques. He holds a PhD in Climate Science from the California Institute of Technology (2016) and specializes in topics such as tropical dynamics, SST pattern responses, decadal climate variability, and high-resolution climate modeling. Teaching responsibilities include courses like Analysis of Climate and Weather Data and Colloquium Atmosphere and Climate . His work integrates physics-based theories, climate models, and observational analysis to address challenges in climate predictability and societal impacts. The Climate Dynamics Group collaborates globally on initiatives like the Forced Component Estimation Statistical Methods Intercomparison Project (ForceSMIP). Research highlights include developing methods like Low-Frequency Component Analysis (LFCA) and Signal-to-Noise-Maximizing Pattern (S/NP) filtering to isolate forced climate signals. Ongoing projects explore Arctic sea ice dynamics, Pacific SST patterns, and the future of El Niño-Southern Oscillation (ENSO). His interdisciplinary approach bridges atmospheric, oceanic, and cryospheric sciences to advance climate understanding.

Claudia Marcolliمشاهده پروفایل

مدرس

• Environmental Systems
• Atmospheric Science
• Climate Modeling

Claudia Marcolli is a Lecturer in the Department of Environmental Systems Science at ETH Zurich. Her research addresses complex interactions within environmental systems. Her emerging publication record explores applications of machine learning in agricultural health monitoring. Current projects focus on developing predictive models for disease impact assessment in livestock systems. Dr. Marcolli contributes to interdisciplinary initiatives examining climate-environment interactions and sustainable resource management strategies.

Afef Marzouguiمشاهده پروفایل

پژوهشگر

• Crop Science
• Remote Sensing
• Plant Disease Resistance
• +۳ مورد دیگر

Dr. Afef Marzougui is a Researcher at ETH Zürich in the Department of Crop Sciences. Her work focuses on integrating remote sensing technologies and machine learning to advance crop phenotyping and disease resistance studies. She specializes in developing precision agriculture strategies for pest management and crop yield optimization. Her research interests include crop science, plant disease resistance mechanisms, and the application of high-resolution satellite and proximal sensing techniques in agricultural phenomics. Notably, she has contributed to projects like the Global Wheat Full Semantic Organ Segmentation (GWFSS) Dataset and studies on Aphanomyces root rot resistance in legumes. Her recent publications (2020–2025) emphasize interdisciplinary approaches combining computational methods with field data to address challenges in sustainable crop production. Key themes include disease impact modeling in livestock, multi-scale data fusion for yield estimation, and VOC-based biomarker identification for high-throughput disease detection.

Loïc Pellissierمشاهده پروفایل

دانشیار

• Landscape Ecology
• Climate Change Impact
• Biodiversity Modeling
• +۳ مورد دیگر

Loïc Pellissier is an Associate Professor at the Department of Environmental Systems Science, ETH Zurich, and holds a joint position at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). His research focuses on understanding and modeling landscape dynamics, biodiversity patterns, and climate change impacts. He employs ecological and evolutionary principles to improve sustainable resource management and biodiversity monitoring technologies. Key areas include eDNA applications, tropical and alpine biodiversity, and ecosystem responses to environmental changes. Education: PhD in Ecology, University of Lausanne (2012) Postdoctoral Research, Arctic Research Center (Roskilde/Aarhus University, Denmark) Research Group Leader, University of Fribourg (2013–2015) Research Interests: Landscape ecology and biodiversity modeling Climate change and ecosystem resilience eDNA technologies for biodiversity assessment Tectonic and climatic drivers of biodiversity hotspots Labs/Teams: Leads research groups at ETH Zurich and WSL, collaborating on projects integrating fieldwork, remote sensing, and computational modeling.

Yu Zhouمشاهده پروفایل

مدرس

• Carbon cycle
• Ecological modeling
• Machine learning
• +۲ مورد دیگر

Dr. Yu Zhou is Lecturer at ETH Zurich's Department of Environmental Systems Science, specializing in carbon cycle modeling and remote sensing applications. Her research bridges ecological processes with computational approaches to address climate change challenges. Key research areas include: Integration of remote sensing data with ecosystem models Machine learning applications in carbon flux estimation Vegetation-climate interactions in dryland systems Continental-scale carbon budget assessments Her work develops novel methodologies for monitoring forest carbon dynamics and quantifying surface biogenic fluxes across North America and Central Asia. Recent publications demonstrate advances in scaling field observations to regional assessments using multi-source data integration. She contributes to projects at the intersection of climate physics and ecosystem science, leveraging satellite data and AI techniques to improve predictions of vegetation responses to environmental change.

• Artificial Intelligence
• Blockchain Technology
• eHealth Systems
• +۲ مورد دیگر

Michael Ignaz Schumacher is a Professor at HES-SO Valais-Wallis - Haute Ecole de Gestion in Switzerland, affiliated with the Institut Informatique. His research focuses on intelligent systems for healthcare applications, combining artificial intelligence, blockchain technology, and multi-agent systems. He teaches in the Bachelor's program in Business Informatics and leads significant research projects funded by Horizon 2020, Innosuisse, and other European programs. Dr. Schumacher's work specializes in developing personalized health systems using advanced technologies. His current projects include PERSIST, an AI-enabled care plan for cancer survivors that integrates patient trajectory analytics, and SemPryv, which applies machine learning for semantic annotation of personal health data streams. His research has been published in high-impact journals including Journal of Medical Internet Research, Computer Methods and Programs in Biomedicine, and IEEE Transactions on Education. Research Areas: Healthcare AI and blockchain applications Multi-agent systems for clinical decision support Personalized medicine platforms Interoperability in health informatics

• Multi-agent systems
• Real-Time Systems
• Explainable AI (XAI)
• +۵ مورد دیگر

Davide Calvaresi is an Associate Professor at HES-SO Valais-Wallis (University of Applied Sciences and Arts Western Switzerland) in the Engineering and IT school within the Computer Science and Communication Systems department. His research focuses on multi-agent systems , real-time systems , explainable AI (XAI) , and blockchain for trustworthy applications in healthcare and safety-critical domains. Current projects include EXPECTATION (Personalized Explainable AI for decentralized agents) and past projects like Axe Santé 2020 (interdisciplinary health research) and Simulator of multi-agent systems (timing reliability analysis). Collaborations include researchers from University of Bologna, University of Luxembourg, and Ozyegin University. Recent publications focus on swarm intelligence in IoT , ethical AI for aging populations , and explainable health coaching systems Technical contributions include DEXiRE (rule extraction from neural networks), SCoDES (blockchain-based consent management), and HAExA (parsimonious XAI architecture)

Berend Smitمشاهده پروفایل

استاد

• Molecular Simulation
• Metal-Organic Frameworks (MOFs)
• CO2 Capture and Carbon Capture Technologies
• +۴ مورد دیگر

Berend Smit is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with the School of Basic Sciences (SB) and the Molecular Simulation Laboratory (LSMO) . His research focuses on molecular simulation, metal-organic frameworks (MOFs), carbon capture technologies, and energy materials. Leads the LSMO, a lab specializing in computational chemistry and materials design. Advises 15+ PhD students in areas like CO2 capture, photocatalysis, and materials informatics. Develops algorithms like MOFChecker for MOF validation and PrISMa for holistic carbon capture assessment. Research Interests: Design and evaluation of nanoporous materials for environmental applications. Integration of machine learning and high-throughput screening for material discovery. Process-informed approaches to carbon capture and DAC (direct air capture). Recent Work: Focuses on MOF-based CO2 capture, thermal transport in ZIFs, and AI-driven inverse design methods. His articles highlight advancements in adsorption modeling, lifecycle assessment for materials, and photocatalytic hydrogen generation. Lab and Teams: Directs the LSMO, collaborating with experimental and computational groups to bridge theory and application in energy and environmental materials.

Andrew Sontaمشاهده پروفایل

استادیار

• Human-building interaction
• Building energy
• Occupant behavior
• +۶ مورد دیگر

Andrew Sonta is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL), leading the ETHOS Lab (Engineering and Technology for Human Oriented Sustainability). He also serves as Head of the Diversity Office at the School of Architecture, Civil and Environmental Engineering (ENAC). His expertise spans human-building interaction, sustainable design, and data-driven urban analysis. Sonta holds a PhD from Stanford University and conducted postdoctoral research at Columbia University's Data Science Institute. Education BS in Civil and Environmental Engineering, Northwestern University (2015) MS and PhD in Civil Engineering, Stanford University (2017, 2020) Research Focus Sonta’s work integrates computational tools with sustainability goals, addressing urban form, energy efficiency, and occupant behavior. Key areas include: - Data-driven building design for energy optimization - Machine learning for occupant behavior modeling - Social-environmental analysis of urban systems. His lab, ETHOS, emphasizes interdisciplinary solutions for societal and ecological challenges. Publications Recent work explores topics like walkability’s impact on social cohesion, occupant-centric energy systems, and global behavior databases. His research bridges urban informatics with machine learning to advance human-centric sustainability. Advising & Leadership He advises four PhD students and oversees the Diversity Office, promoting inclusivity in ENAC. Courses taught include sustainability frameworks, computational systems thinking, and energy-occupant dynamics in buildings. Labs & Teams Directs the ETHOS Lab, which collaborates on projects like the Global Building Occupant Behavior Database and smart energy systems. Engages with industry and academia to translate research into actionable sustainability strategies.

Carol V. Alexandruمشاهده پروفایل

پژوهشگر

• Software Engineering
• Command Line Interface (CLI)
• Software Analysis
• +۳ مورد دیگر

Carol V. Alexandru is a Senior Research Associate at the University of Zurich's Department of Informatics. Her research focuses on understanding developer interactions with command line interfaces (CLI), contrasting them with visual tools like IDEs. She investigates barriers to CLI adoption and develops tools to enhance CLI usability. Key projects include LISA, a high-performance library for fine-grained historical software analysis; Signal/Collect Console, a debugging tool for graph computations; and Facets of Software Evolution, a software quality analysis platform. She has contributed to teaching roles since 2013, including course administration for Informatics I, Advanced Software Engineering, and Programming Languages and Paradigms. Her work bridges software engineering theory and practical tool development, emphasizing scalable historical analysis and developer-centric tool design.