جستجوی استاد راهنمای دانشگاهی

Prof. Konrad Schindler holds the position of Full Professor at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. He is also the Head of the Institute of Geodesy and Photogrammetry (IGP), leading research and educational activities in geomatics and computer vision. His career spans roles as a Photogrammetric Engineer, scientific assistant, postdoc researcher, and academic faculty across institutions including Graz University of Technology, Monash University, and TU Darmstadt before joining ETH Zürich in 2010. Education: Undergraduate studies in Geodesy (1992–1995), Graz University of Technology, Austria MEng in Photogrammetry and Geoinformation (1995–1999), Vienna University of Technology, Austria PhD in Computer Science (2001–2003), Graz University of Technology, Austria Research focuses on Photogrammetry , Remote Sensing , Computer Vision , and Image Understanding with interdisciplinary applications in environmental monitoring, geospatial analysis, and disaster response. He develops computational methods for 3D reconstruction, fusion of multi-modal data, and AI-driven solutions for satellite imagery interpretation. His work bridges geomatic engineering and machine learning to address challenges in urban mapping, climate modeling, and biological systems analysis. Publications reflect expertise in geospatial AI, diffusion models, and benchmarking datasets for disaster resilience. Notable works include Marigold (image analysis adaptation) and BRIGHT (building damage assessment). His research emphasizes practicality and scalability, such as affordable depth estimation and global biomass datasets. He has received the 2013 Marr Prize Honourable Mention (IEEE) and the 2012 U.V. Helava Award (ISPRS), alongside several Best Presentation Awards. His contributions span technical leadership, editorial roles (ISPRS Journal), and service to Swiss remote sensing commissions. Advising and grants: While no specific advisee names or grant details are listed, his career trajectory includes mentoring postdocs and junior faculty. He teaches advanced courses in Photogrammetry , Image Interpretation , and Machine Vision , integrating cutting-edge AI techniques into curricula. His research group collaborates on global-scale projects like canopy height mapping and satellite-based climate variable assessments. Labs/Teams: As Institute Head, he oversees the IGP lab at ETH Zürich, with prior affiliations including the Digital Perception Lab (Monash University) and the Computer Vision Lab (ETH Zurich). His work often involves multi-institutional collaborations focused on geospatial AI and environmental science.

• Photogrammetry
• Remote Sensing
• Computer Vision
• +۳ مورد دیگر

Prof. Dr. Gonzalo Guillén Gosálbez is a Full Professor at the Department of Chemistry and Applied Biosciences , ETH Zürich. He holds a PhD in Process Systems Engineering (UPC, 2005) and has held academic positions at Imperial College London (Reader), University of Manchester (Senior Lecturer), and Universitat Rovira i Virgili (Assistant/Associate Professor). His research focuses on Sustainable Chemical Processes , integrating life cycle assessment, optimization techniques, and planetary boundary analysis to evaluate and design low-carbon technologies. Current position: Full Professor, ETH Zürich (2019–present) Prior roles: Imperial College London (2016–2019), University of Manchester (2014–2016), URV Spain (2008–2014) Education: PhD (UPC, 2005), MEng/BEng (University of Murcia) His research explores CO2 valorization , green methanol synthesis , circular marine fuels , and planetary boundary compliance in energy and chemical systems. Recent work emphasizes machine learning for process modeling, single-atom catalysis , and decentralized ammonia production . Scientific contributions include 15+ peer-reviewed articles (2023–2025) in journals like Nature Chemical Engineering , ACS Sustainable Chemistry & Engineering , and Energy & Environmental Science . Key themes: Optimization of hybrid fossil/renewable carbon systems Environmental impacts of energy transitions Catalyst design for sustainable chemistry Life cycle assessment of emerging technologies Awarded UPC Top Doctoral Student Award and Top National Student Award , he combines process systems engineering with sustainability metrics to address global challenges in chemical and energy systems.

• Process Systems Engineering
• Sustainable Chemistry
• Environmental Impact Assessment
• +۷ مورد دیگر

Dr. Jacinta Edebeli serves as a Researcher and Group Lead at the Zurich University of Applied Sciences (ZHAW), School of Engineering, within the Meteorology, Environment and Aviation Research Unit. Her work focuses on aviation environmental impacts, air quality monitoring, and sustainable aviation solutions through advanced measurement systems and policy-relevant research. Her research expertise spans: Aviation emissions (gaseous and particulate matter) Urban air quality monitoring using lung-deposited surface area (LDSA) metrics Sustainable aviation fuels (SAF) impact assessment Aviation meteorology and environmental regulation Real-time emission monitoring networks for urban environments Recent publications demonstrate concentrated work on non-volatile particulate matter (nvPM) characterization from aircraft engines, SAF emission comparisons, and ultrafine particle microphysics. Her research bridges technical aviation engineering with public health outcomes through advanced aerosol measurement techniques. She actively leads and contributes to critical projects: Net4Cities : Deputy project leader developing real-time monitoring networks for European zero-pollution action plans Renewable Fuels and Chemicals for Switzerland : Project leader advancing SAF implementation EASA SAMPLE IV : Completed project leader for aircraft emissions certification Multiple AGEAIR projects investigating in-service engine emissions and aging effects As SAE E-31 network member and ORCID-registered researcher (0000-0003-2465-1783), she operates at the forefront of aviation environmental regulation with state-of-the-art facilities at ZHAW's Winterthur campus.

• Aviation Emissions
• Urban Air Quality
• Air Quality Monitoring
• +۵ مورد دیگر

Olga Fink is a Tenure Track Assistant Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Department of Intelligent Maintenance and Operations Systems (IMOS) within the School of Architecture, Civil and Environmental Engineering (ENAC). She also holds roles in PhD program committees for Civil and Environmental Engineering (EDCE) and Robotics, Control, and Intelligent Systems (EDRS). Her research focuses on machine learning for infrastructure monitoring, predictive maintenance, and physics-informed AI models. She teaches courses on machine learning, data science for infrastructure, and advanced deep learning topics. Fink advises multiple PhD students and is involved in interdisciplinary projects such as ThermoNeRF (multimodal 3D thermal modeling) and physics-informed neural networks for fault diagnostics. Her work bridges AI and engineering with applications in smart infrastructure, energy systems, and industrial IoT. Education: PhD in Engineering (inferred from role) Affiliations: IMOS Lab, ENAC-SGC, EPFL PhD Committees (EDCE, EDRS) Key Research Themes: Explainable AI, Digital Twins, Structural Health Monitoring, Domain Adaptation Her publications (2023–2025) emphasize robust AI for industrial systems, including fault detection in high-voltage equipment, multimodal data fusion, and physics-consistent models. She collaborates on EU and industry-funded projects, focusing on real-world applications like predictive maintenance and energy efficiency.

• Machine Learning
• Predictive Maintenance
• Industrial IoT
• +۳ مورد دیگر

Devis Tuia serves as Associate Professor at the Swiss Federal Institute of Technology Lausanne (EPFL), holding appointments in the Institute of Environmental Engineering (IIE) within the School of Architecture, Civil and Environmental Engineering (ENAC). He leads the Environmental Computational Science and Earth Observation Laboratory (ECEO) since 2020 and contributes to EPFL's Doctoral Program in Civil and Environmental Engineering. His academic journey began in Lausanne with studies at UNIL and EPFL, culminating in a PhD in remote sensing from UNIL. Postdoctoral research followed at institutions in Valencia, Boulder, and EPFL, focusing on machine learning model adaptation. He progressed from Research Assistant Professor at University of Zurich to Associate and Full Professor at Wageningen University before joining EPFL. Tuia's research bridges Earth observation with artificial intelligence, specializing in interpretable deep learning for environmental applications. His lab develops algorithms for making remote sensing accessible, with particular emphasis on digital wildlife conservation through automated censuses using drone and satellite imagery. Current projects tackle the 'black box' problem in environmental modeling while advancing spatial intelligence for sustainable urban development. His 2023-2025 publication portfolio reveals three dominant trends: (1) species distribution modeling using incomplete observations, (2) multimodal fusion of satellite/drone data with textual descriptions, and (3) interpretable AI frameworks for environmental decision-making. This work consistently addresses real-world challenges like wildfire forecasting and biodiversity monitoring. As an educator, Tuia supervises 12 current PhD students and has graduated 4 former EPFL doctoral candidates. His teaching portfolio includes Frontiers of Deep Learning for Engineers , Sensing and Spatial Modeling for Earth Observation , and Image Processing for Earth Observation courses. The ECEO laboratory maintains active collaborations with ESA-NASA initiatives and conservation organizations globally.

• Earth Observation
• Remote Sensing
• Machine Learning
• +۵ مورد دیگر

Prof. Dr. Stefanie Hellweg serves as a Full Professor for Ecological Systems Design at the ETH Zürich , Department of Civil, Environmental and Geomatic Engineering. She is Deputy Head of the Institute of Environmental Engineering and leads groundbreaking research at the intersection of industrial ecology, life cycle assessment, and circular economy systems. PhD in Environmental Engineering (ETH Zürich, 2000) Industrial Engineering Degree (Karlsruhe University, 1996) Her research develops advanced methodologies for environmental impact assessment of products and technologies, focusing on: Life Cycle Assessment (LCA) with correlated uncertainty modeling Circular economy implementation in chemical and energy sectors Industrial symbiosis optimization for heat and nutrient flows Urban wastewater systems redesign for resource recovery Chemical pollution analysis in plastic materials Key publication trends reveal expertise in: Hybrid wastewater treatment systems Energy-efficient greenhouse cultivation Exergy analysis for sustainability metrics Machine learning applications in environmental modeling Policy-relevant industrial ecology studies She actively participates in global sustainability initiatives as: President of the International Society of Industrial Ecology (ISIE) Member of UN Environment's International Resource Panel Editorial board member for leading environmental journals

• Environmental Impact Assessment
• Life Cycle Assessment (LCA)
• Industrial Ecology
• +۴ مورد دیگر

Prof. Dr. Jing Wang is a Full Professor at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. His research focuses on air pollution control, nanoparticle transport, and environmental health and safety (EHS) impacts of nanomaterials. He has held roles including Assistant Professor at ETH Zürich (2010–present), Research Assistant Professor at the University of Minnesota (2007–2010), and postdoctoral associate in Particle Technology (2005–2007). Education: Bachelor’s in Engineering (2000) – Tsinghua University, Beijing Master’s in Computer Sciences (2003) – University of Minnesota PhD in Aerospace Engineering (2005) – University of Minnesota Research Interests: Air/water filtration technologies Nanoparticle emission reduction and measurement Multiphase flow mechanics Environmental impacts of nanomaterials Collaborations: Industrial partnerships include 3M, BASF, Boeing, Intel, Samsung, and others in nanoparticle measurement and filtration solutions. Honors: 2011 Smoluchowski Award (Association for Aerosol Research) 2006 ‘Best Dissertation’ Award (University of Minnesota) 2004 Doctoral Dissertation Fellowship Teaching: Courses include Air Pollution Control, Environmental Engineering Seminars, and Excursions for Environmental Engineers. Labs/Teams: Leads the Particle Technology Lab and collaborates with the Institute of Environmental Engineering at ETH Zürich.

• Air Pollution Control
• Nanoparticle Transport
• Emission Reduction
• +۴ مورد دیگر

Giancarlo Ferrari Trecate is an Adjunct Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) , affiliated with the School of Engineering and the SCI-STI-GFT department. He is also involved in teaching and research through the STI-SGM and EDRS-ENS programs. Research Interests : Automatic control, state estimation, system identification, machine learning, distributed control, hybrid systems, microgrids, biochemical networks, voltage and frequency stabilization in AC/DC microgrids. Publications Trends : His recent work focuses on integrating Neural ODEs and Hamiltonian structures for stable control systems, regret minimization in distributed control, and robust state estimation under uncertainty. Applications include autonomous mobility-on-demand , power grid optimization , and secure microgrid control against cyber-attacks. Scientific Awards : No specific awards mentioned in the provided data. Teaching & Advising : He supervises PhD students in mechanical engineering and teaches courses on Multivariable control and Networked control systems . His lab, DECODE , specializes in Dependable Control and Decision systems.

• Automatic control
• State estimation
• System identification
• +۷ مورد دیگر

Dr. Marcel Dettling is a Group Lead in Data Analysis and Statistics at the ZHAW School of Engineering , focusing on predictive analytics, applied statistics, and complex data analysis. He also serves as a Lecturer at ETH Zurich , teaching advanced statistical methods. Education : PhD in Mathematics (2000-2004), ETH Zurich Postdoc in Applied Statistics (2004-2006), Johns Hopkins University His research spans predictive analytics (regression, classification, time series), data mining, and applications in health economics, transportation safety, social sciences , and business analytics . Recent work includes pharmaceutical cost group analysis for Swiss healthcare and predictive maintenance for marine vessels. Selected publications highlight his expertise in flight trajectory modeling , deep learning error mitigation , and statistical frameworks for rehabilitation finance . His projects address diverse fields like crowdworking in nursing, energy optimization for shipping, and customer behavior prediction.

• Predictive Analytics
• Applied Statistics
• Data Mining
• +۶ مورد دیگر

Jan Dirk Wegner is an Associate Professor at the University of Zurich, holding the chair in 'Data Science for Sciences' and leading the EcoVision Lab. He previously served as a Postdoc (2012–2016) and senior scientist (2017–2020) at ETH Zurich's Photogrammetry and Remote Sensing Group, following his PhD (with distinction) from Leibniz University Hannover (2011). His research bridges machine learning, computer vision, and remote sensing to address environmental and geoscience challenges, focusing on large-scale environmental data analysis, vegetation monitoring, and climate change mitigation. Education: PhD (with distinction) in Geodesy, Leibniz University Hannover (2011) Postdoc, ETH Zurich (2012–2016) Senior Scientist, ETH Zurich (2017–2020) Research Interests: Machine Learning, Computer Vision, Remote Sensing, Environmental Science, Climate Science, Geosciences, Explainable AI, Uncertainty Quantification, and Applications in Sustainability. The EcoVision Lab develops data-driven methods for global-scale environmental monitoring, including vegetation parameter mapping, flood prediction, forest degradation detection, and AI-driven ecological modeling. Awards: ETH Postdoctoral Fellowship (2012–2016) Science Prize of the German Geodetic Commission WEF Young Scientist Class 2020 (Top 25 globally under 40) Advising & Leadership: Director of the University of Zurich's Doctoral School in Data Science, leading the EcoVision Lab, and coordinating the CVPR EarthVision Workshops. His roles include Vice President of ISPRS Technical Commission II, member of the ETH AI Center, ELLIS, and UN-ETH Partnership. Labs/Teams: EcoVision Lab focuses on interdisciplinary AI applications for environmental challenges, collaborating with NGOs, governments, and industry to translate research into societal impact.

• Machine Learning
• Computer Vision
• Remote Sensing
• +۷ مورد دیگر

Philippe Christe is an Associate Professor in the Department of Ecology and Evolution at the University of Lausanne (UNIL), Faculty of Biology and Medicine. His research centers on host-parasite interactions, with a focus on bats, birds, and their ectoparasites, integrating behavioral, physiological, and genetic approaches. He leads the Christe Group, which investigates evolutionary and ecological dynamics in host-parasite systems, particularly avian malaria and bat-mite relationships. He is actively involved in conservation initiatives, including the Jorat Peri-Urban Nature Park, and collaborates with KORA on human-wildlife interactions. Bachelor's degree in biology, UNIL (1989) PhD in Zoology and Animal Ecology, UNIL (1994) Philippe Christe’s research interests lie at the intersection of parasitology, evolutionary ecology, and conservation biology. He investigates how host defenses evolve in response to parasitic pressures, examining trade-offs between immunity and life history traits such as reproduction and survival. His work often integrates field studies with experimental and molecular techniques. Key model systems include Parus major (great tit) and Culex pipiens in avian malaria, and bat species with their ectoparasitic mites. He also explores broader ecological interactions, including predator-prey dynamics and wildlife conservation in human-modified landscapes. His recent publications reflect a strong emphasis on disease ecology, wildlife conservation, and molecular methods. Articles span topics such as avian malaria transmission, lynx population dynamics, snow leopard behavior, and habitat fragmentation effects on insects. These works employ advanced techniques like DNA metabarcoding, spatial modeling, and long-term monitoring, demonstrating a trend toward interdisciplinary, data-driven ecological research with direct conservation applications. Dubois Foundation Prize for an educational CD-Rom on bats (2004) Communication Award from the Faculty of Biology and Medicine of UNIL (2017) Philippe Christe has supervised numerous PhD and Master’s students, contributing significantly to training the next generation of ecologists and evolutionary biologists. His group collaborates widely with institutions such as the Museum of Zoology in Lausanne and KORA, and participates in large-scale conservation projects involving snow leopards, lynx, and bats. He has been involved in research grants related to host-parasite coevolution, wildlife monitoring, and conservation strategies. His leadership in establishing the Jorat Peri-Urban Nature Park and involvement in the UNIL Interdisciplinary Center for Mountain Research highlight his commitment to applied science and environmental stewardship. He leads the Christe Group, which conducts research on host-parasite coevolution, with a focus on bats and their ectoparasites, and birds affected by avian malaria. The group combines fieldwork, laboratory experiments, and molecular analyses, and includes post-docs, PhD students, and technical staff. Collaborations extend to researchers in Bern, Paris, and Spain, fostering an international and interdisciplinary research environment.

• Host-Parasite Interactions
• Evolutionary Ecology
• Behavioral Ecology
• +۷ مورد دیگر

Dr. E. Keith Smith is a Lecturer at ETH Zürich's Department of Humanities, Social and Political Sciences, affiliated with the Center for Comparative and International Studies (CIS). His research focuses on sociopolitical dimensions of climate change, particularly climate change attitudes, behaviors, and social tipping processes. He holds PhD from Colorado State University and master’s degrees from KU Leuven and University of British Columbia. His work explores why individuals engage—or disengage—in climate action, emphasizing factors like political polarization, religious beliefs (especially evangelical Protestantism), and trust in institutions. Smith's research employs quantitative methodologies and addresses challenges in environmental policy implementation, such as equitable air quality monitoring and global supply chain regulations. He contributed to the DominoES project on social tipping dynamics and has published in journals like Global Environmental Change and Nature Scientific Reports . His recent studies analyze public support for climate policies across Europe and the U.S., emphasizing how procedural inclusiveness and transparency can build trust in environmental governance. He also explores mobility policies in Switzerland, including road pricing and public transport expansion, using experimental methods to gauge citizen preferences. Smith’s work bridges environmental science and social science, aiming to identify pathways for transformative societal shifts toward climate action. His current projects focus on social tipping mechanisms and the interplay between climate risk anticipation and policy demand.

• Climate Change Attitudes and Behaviors
• Social Tipping Processes
• Quantitative Methodologies
• +۳ مورد دیگر

Tom Beucler is a Conditional Pre-Tenure Assistant Professor in Geo-Environmental Data Science at the University of Lausanne’s Institute for Earth Surface Dynamics (IDYST). He holds a Master’s degree in Science and Mechanics from École Polytechnique (2014) and a PhD in Atmospheric Science from MIT (2019). Postdoctoral research at Columbia University and UC Irvine focused on machine learning applications in climate science under Professors Pierre Gentine and Michael Pritchard. Research Interests: Climate informatics, atmospheric physics, fluid dynamics, tropical meteorology, and integrating machine learning into climate models for extreme weather prediction and hydrological cycle modeling. Collaborations: Works with environmental scientists and computer engineers to improve climate models using neural networks and causal discovery methods. Initiatives: Organizes weekly brainstorming sessions to promote machine learning adoption in environmental sciences. Publications span climate-invariant machine learning, data-driven parameterizations, and hybrid AI-climate modeling frameworks like ClimSim. His work emphasizes causal consistency and generalizability across climate conditions.

• Geo-Environmental Data Science
• Climate Informatics
• Atmospheric Physics
• +۵ مورد دیگر

Dr. Paolo Bergamo is a Senior Researcher at the Swiss Seismological Service (SED), ETH Zurich, since April 2016. He specializes in engineering seismology, focusing on earthquake site response models, ground-motion modeling, and seismic risk assessment. His work includes projects such as the Earthquake Risk Model Switzerland (ERM-CH23) and the SERA Horizon2020 initiative. He holds a PhD in Earth Sciences from Politecnico di Torino (2012) and advanced degrees in Environmental Engineering. Key research areas include soil amplification analysis, geophysical surveys, and the integration of empirical and computational methods for seismic hazard mitigation. His contributions span microzonation studies, site characterization using borehole and ambient vibration data, and the development of design-compatible waveforms for Swiss building codes. Education: PhD in Water and Territory Management Engineering, Politecnico di Torino (2012) MSc and BSc in Environmental Engineering, Politecnico di Torino (2008, 2005) Research Interests: Dr. Bergamo’s work emphasizes the collation of empirical ground-motion data with building codes, spatial modeling of soil amplification, and geophysical site characterization. He employs advanced techniques like surface-wave analysis, machine learning, and canonical correlation for seismic hazard assessment. Projects & Grants: ERM-CH23: Site response implementation and national seismic risk modeling SERA Project (Horizon2020): Site characterization indicators Swiss Federal Office for Environment-funded studies on microzonation and geophysical monitoring Labs & Teams: Active contributor to the Engineering Seismology group at SED, leading efforts in alpine valley seismic modeling and offshore site characterization in Lake Lucerne.

• Earthquake Site Response
• Ground-Motion Modeling
• Seismic Building Codes
• +۳ مورد دیگر

Zhenyu Yang is a Lecturer and Postdoctoral Researcher at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the College of Engineering through the Department of Civil Engineering and the Urban Transport Systems Laboratory (LUTS) . He holds a PhD in Industrial System Engineering from the National University of Singapore (2022), an M.Eng from Beijing Jiaotong University, and a Diploma in Transportation Engineering from Huazhong University of Science and Technology. PhD, Industrial System Engineering, National University of Singapore (2022) M.Eng, Beijing Jiaotong University Diploma, Transportation Engineering, Huazhong University of Science and Technology His research focuses on urban transportation network modeling , travel demand management , and traffic information provision , with a strong emphasis on handling uncertainty and optimizing shared mobility systems. Recent work explores reinforcement learning applications, vehicle-drone cooperative delivery , and dynamic incident-responsive traffic systems . His publications highlight advancements in ridesourcing algorithms , congestion pricing , and multi-modal transport regulation . As a lecturer, he teaches Transportation Economics , covering demand-supply dynamics, welfare analysis, and environmental policy in transport systems. He is affiliated with EPFL's Urban Transport Systems Laboratory (LUTS) and contributes to the SGC-ENS teaching unit.

• Urban Transportation Network Modeling
• Travel Demand Management
• Transport Economics
• +۵ مورد دیگر