جستجوی استاد راهنمای دانشگاهی

Alexis Berne is an Associate Professor at the Environmental Remote Sensing Laboratory (LTE) within the School of Architecture, Civil and Environmental Engineering (ENAC) at École Polytechnique Fédérale de Lausanne (EPFL). He co-directs the SSIE-GE program and serves as a member of the CDS (Commission for Doctoral Studies) . His research spans radar meteorology, precipitation microphysics, polar precipitation, and geostatistics, with a focus on mountainous and polar regions. Current Positions Associate Professor, LTE, EPFL (2013–present) Co-Director, SSIE-GE, EPFL PhD Program Committee Member, EDCE-GE, EPFL Research Interests include the remote sensing of precipitation, particularly snowfall and ice production mechanisms, using radar and geostatistical methods. His work addresses atmospheric processes in extreme environments like Antarctica and the Swiss Alps, leveraging machine learning and numerical modeling for climate analysis. Teaching encompasses courses on remote sensing, atmospheric processes, and climate change, emphasizing interdisciplinary approaches and spatiotemporal variability. He advises current PhD students such as Heather Anne Corden and Gionata Ghiggi, alongside mentoring past students like Jacopo Grazioli and Timothy Hugh Raupach.

• Radar Meteorology
• Precipitation Microphysics
• Polar Precipitation
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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
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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
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Professor Nick Chater is a leading figure in the field of Behavioural Science, affiliated with the University of Warwick at Warwick Business School since 2010. He has held previous chairs in psychology at Warwick and UCL. His research spans cognitive and social foundations of rationality, with applications to business and public policy, and he has authored over 200 papers and six books. He is a fellow of the British Academy, Cognitive Science Society, and Association for Psychological Science. His research interests include cognitive science, behavioral economics, decision making, and computational psychology, with a focus on reasoning, language, and mathematical modeling of mental processes. He has been recognized with prestigious awards such as the Spearman Medal, Experimental Psychology Society Prize, and the David E Rumelhart Prize for lifetime achievement in cognitive science. His work extends to practical applications through co-founding Decision Technology and advising the UK government's Climate Change Committee and the Behavioural Insight Team. Recent publications highlight his interdisciplinary approach, bridging economics, cognitive science, computational modeling, and behavioral public policy. Topics include thermal macroeconomic theory, Bayesian sampling, paradoxes in cognition, and language emergence via social interaction. These works emphasize probability judgments, moral cognition, and computational limitations in human inference. British Psychological Society's Spearman Medal (1996) Experimental Psychology Society Prize (1997) David E Rumelhart Prize (2023) PROSE Award (2019) Chater's academic contributions include collaborations with researchers like Adam N. Sanborn, Hossam Zeitoun, and Morten H. Christiansen, focusing on Bayesian inference, behavioral public policy, and cognitive modeling. He has also been a resident scientist on BBC Radio 4's The Human Zoo.

• Cognitive Science
• Behavioral Economics
• Decision Making
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Christof Bigler is an Adjunct Professor at ETH Zurich's Department of Environmental Systems Science, where he also serves as Deputy Group Head of the Professorship of Forest Ecology and Senior Scientist. He leads the ETH Tree-Ring Laboratory and teaches courses in dendroecology, applied statistics, and forest ecology. His research focuses on tree mortality, climate impacts on forests, disturbance ecology, and phenology, with a strong emphasis on quantitative methods and long-term data analysis. Bigler holds a PhD in Forest Ecology from ETH Zurich (2003), awarded the ETH Medal for his thesis on tree mortality modeling. He has conducted postdoctoral research in Switzerland and the University of Colorado Boulder, exploring disturbance interactions and dendroecology. He has supervised numerous PhD and master's students, contributing to over 150 publications in top journals like Nature Climate Change and Ecology . His work integrates dendrochronological techniques with statistical modeling to understand forest responses to climate change, including drought effects, tree competition, and mortality patterns. He serves on editorial boards for journals like Agricultural and Forest Meteorology and reviews proposals for national and international science foundations. His research also includes managing forest reserves and studying natural forest dynamics in the Alps and beyond. Education: PhD in Forest Ecology, ETH Zurich (2003) Postdoctoral Research: University of Colorado Boulder (2004–2005) Diploma in Biology, ETH Zurich (1998) Key Awards: ETH Medal for PhD thesis (2003) Professional Roles: Member of the Tree-Ring Society, Editor for Frontiers in Forests , and Commission for Phenology and Seasonality (KPS). Bigler's lab and fieldwork emphasize long-term datasets, including analyses of tree-ring records from Swiss National Park and other reserves. His research highlights the critical role of historical climate data in predicting future forest resilience and adaptation strategies.

• Dendroecology
• Statistical Modeling
• Quantitative Ecology
• +۶ مورد دیگر

Kumar Varoon Agrawal is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), holding the Gaznat Chair for Advanced Separations. He is affiliated with the School of Basic Sciences (SB), the Institute of Chemical Sciences and Engineering (ISIC), and the Laboratory of Advanced Separations (LAS) in Sion, Switzerland. Additionally, he contributes to the Swiss Doctoral School in Chemical and Bioengineering (SCGC) and serves as Vice President of the Confédération des Chimistes et des Génie Chimique (CCE). Research Focus: Material Chemistry & Engineering at the Ångström scale for high-performance inorganic and hybrid membranes, emphasizing energy-efficient molecular separations. Teaching: Courses include Fundamentals of separation processes , Diffusion and mass transfer , and Chemical engineering product design . Scientific Contributions: His 15 most recent publications (2025-2020) span topics like graphene pore engineering , 2D material synthesis , carbon capture , and gas separation membranes , with keywords such as Nanotechnology , Materials Science , and Molecular Transport . Subfields include Atomic-Scale Pores , Membrane Stability , and Industrial Scalability . Students and Collaborations: He advises 10 current PhD students and has mentored 9 past PhD candidates in areas like graphene membranes , ion separation , and MOF films . He is an Academic Referent for the EPFL Carbon Team and a committee member for the EDCH Doctoral Program in Chemistry and Chemical Engineering.

• Materials Science
• Chemical Engineering
• Membrane Technology
• +۴ مورد دیگر

André Bardow is a Full Professor at the Department of Mechanical and Process Engineering, ETH Zürich. His research focuses on energy systems optimization, life cycle assessment, computer-aided molecular design, and CO2 capture/utilization. Professor (ETH Zürich, 2020–present) Head of Institute of Technical Thermodynamics (RWTH Aachen University, 2010–2020) Visiting Professor (University of California, Santa Barbara, 2015/16) Part-time Director (Forschungszentrum Jülich, 2017–2022) Associate Professor (TU Delft, 2007–2010) Research Interests: His work spans energy and process systems engineering, with emphasis on sustainable technologies. Key areas include: Computer-aided molecular and process design Machine learning for chemical engineering Carbon capture and utilization (CCU) Life cycle assessment (LCA) of industrial processes Thermo-economic modeling of energy systems Multiphase equilibrium analysis Publication Trends: Recent articles focus on integrating machine learning with process design, optimizing CO2 capture in steel production, and advancing electrochemical cooling technologies. Subfields include sustainable plastics, ORC working fluids, and solvent mixture design. Scientific Awards: Fellow of the Royal Chemical Society Recent Innovative Contribution Award (EFCE, 2019) PSE Model-Based Innovation Prize (2018) Covestro Science Award (first recipient) Arnold-Eucken-Award (VDI-GVC) Highly Cited Researcher (Clarivate, 2024) Advising and Grants: Professor Bardow mentors students in process optimization and leads projects like Systemic expansion of territorial CIRCULAR Ecosystems for end-of-life FOAM (Grant 101036854, EC).

• Energy systems optimization
• Conceptual process design
• Life cycle assessment
• +۷ مورد دیگر

Simone Fior is a Lecturer at the Department of Environmental Systems Science , ETH Zürich , focusing on ecological genetics and plant adaptation. Their research integrates genomic, quantitative genetics, and ecological field experiments, particularly on Dianthus (Caryophyllaceae) along altitudinal and climatic gradients. Recent work explores climate-induced range shifts, local adaptation, and genomic responses to environmental changes. Professional experience includes roles at ETH Zürich since 2013 (Senior Assistant, Postdoc) and prior positions at the Edmund Mach Foundation (2009-2012) and University of Insubria (2007-2008). Education spans a PhD in Plant Biology (University of Milan, 2007) and an MSc in Natural Sciences (University of Milan, 2003). Simone co-organizes the Bioinformatics for Adaptation Genomics Winter School . Key research areas include adaptive divergence , polygenic adaptation , climate change biology , and phylogenomics . Articles emphasize genomic selection signatures, functional-structural modeling, and ecological-genetic interactions. Notable collaborations involve Jake Alexander, Alex Widmer, and interdisciplinary teams at ETH Zurich.

• Ecological Genetics
• Plant Adaptation
• Population Genomics
• +۵ مورد دیگر

Prof. Dr. Beat Hintermann is a Professor of Public Finance at the University of Basel's Faculty of Business and Economics (WWZ). His research focuses on public sector economics with particular emphasis on climate policy and mobility behavior. Hintermann leads empirical research using GPS tracking data to study transportation choices and the effectiveness of pricing mechanisms to encourage sustainable mobility options. His research interests span several interconnected areas: public sector economics, climate policy design, transportation economics, and environmental economics. He investigates how pricing mechanisms can influence individual behavior to reduce environmental externalities, with special attention to sustainable mobility solutions like e-biking. His work often combines economic theory with rich empirical analysis of real-world data, particularly examining the intersection of environmental policy and individual decision-making. Hintermann's recent publications reveal a strong focus on empirical mobility studies, particularly through the MOBIS dataset that tracks mobility behavior in Switzerland. His research shows how transport pricing can effectively promote e-biking and reduce negative externalities. He has also conducted significant work on carbon pricing mechanisms, emissions trading systems, and the impacts of climate policies on economic behavior. His work during the pandemic period examining mobility changes provides valuable insights into how external shocks affect transportation choices. Hintermann's research methodology is characterized by rigorous empirical analysis, often employing field experiments and large-scale GPS tracking data to measure behavioral responses to policy interventions. His work on Pigovian transport pricing represents an important contribution to understanding how economic instruments can be designed to address environmental externalities in the transportation sector. As part of the University of Basel's Faculty of Business and Economics, Hintermann contributes to research centers focused on sustainable development and environmental economics. His work bridges academic research with practical policy applications, providing evidence-based insights for policymakers designing effective environmental and transportation policies.

• Public Sector Economics
• Climate Policy
• Transportation Economics
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Tom Ian Battin is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC). He holds roles in three departments: the River Ecosystems Research Laboratory (RIVER), the Laboratory of Management of Infrastructures, Networks and Construction (LIMNC-GE), and the SSIE Teaching Unit (ENS). His research focuses on aquatic ecosystems, microbial communities in glacier-fed streams, climate change impacts, and biogeochemical processes in alpine environments. He advises numerous doctoral students and has supervised over ten theses at EPFL. Battin teaches courses such as 'Fundamentals in Ecology,' 'Aquatic Ecosystems,' and 'Global Change Ecology and Fluvial Ecosystems.' He is actively involved in academic governance, serving on the EPFL Academic Strategic Committee (ASC) and the ENAC Academic Evaluation Committee (CEA). His work investigates how glacier retreat affects stream microbiomes, dissolved organic carbon dynamics, and ecosystem resilience. Key themes include microbial metabolism, biofilm functionality, and the interplay between hydrology and biogeochemistry. Battin leads research projects on global glacier-fed stream biogeography and the resistome of stream biofilms. His interdisciplinary approach bridges ecology, microbiology, and environmental engineering, addressing critical questions about mountain ecosystems under climate change.

• Environmental Sciences
• Aquatic Ecosystems
• Microbial Ecology
• +۷ 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

Barton Lee is an Assistant Professor (tenure track) and Chair of Political Economy & eDemocracy at the Department of Management, Technology, and Economics (D-MTEC) of ETH Zurich . He holds an Affiliate Fellowship with the Stigler Center at Chicago Booth and was a Junior Research Fellow at Magdalen College, University of Oxford (2021–2022). Dr. Lee earned his PhD in Economics from the University of New South Wales (UNSW) in 2021, following a visiting year at Harvard University (2018–2019). Current Role : Asst. Prof (TT) + Chair, ETH Zurich Affiliations : Stigler Center (Chicago Booth), UNSW Resilient Democracy Lab Research Focus : Political Economics, Applied Theory Dr. Lee investigates democratic fragility through lenses of legislative gridlock , technocratic governance , and populist voter behavior . His work connects economic policy with political institution design , often employing formal modeling and empirical analysis . Notable projects include studies on the feedback loops between polarization and policy failure and adaptive strategies in autocratic regimes . He actively contributes to academic networks via personal website and Google Scholar , and engages in collaborative workshops such as the 2025 IAST/TSE Workshop on Political Economy of Autocratic Rule . Dr. Lee also advocates for academic positions like the Professor of Health Economics role at ETH Zurich. Scientific Awards: Affiliate Fellow, Stigler Center (2021–present) Junior Research Fellow, Magdalen College, Oxford (2021–2022) Dr. Lee's recent work explores intersections between technology , democracy , and economic theory , with active participation in conferences and mentoring networks across Europe and Australia.

• Political Economics
• Applied Theory
• EconCS
• +۳ مورد دیگر

Rachid Cherkaoui is a Senior Scientist at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Engineering, specifically within the Department of Electrical Engineering. He is actively associated with research units SEL-ENS, EDEY-ENS, and DESL, contributing to the Distributed Electrical Systems Laboratory (DESL). His work focuses on advanced power system optimization, smart grids, and energy market modeling. Ph.D. in Electrical Engineering, EPFL, 1992 M.S. in Electrical Engineering, EPFL, 1983 Dr. Cherkaoui's research interests include electrical power and distribution systems, distributed generation, energy storage, electricity market deregulation, and power system vulnerability mitigation. His work bridges theoretical modeling and real-world applications, particularly in flexibility provision, grid resilience, and market integration of renewable energy. His recent publications (2020–2025) reflect a strong focus on smart grid technologies, energy storage integration, and market mechanisms. Key themes include optimal dispatch of hybrid systems, TSO-DSO coordination, frequency control, and stochastic optimization under uncertainty. His work is frequently published in top-tier journals such as IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid. ABB Swiss Award '83 Senior Member, IEEE Member, CIGRE Task Forces C5-2 IEEE Swiss Chapter Officer since 2005 Dr. Cherkaoui actively supervises doctoral students and collaborates extensively with researchers like Mario Paolone. He has contributed to numerous projects funded by industry, CTI/Innosuisse, and Horizon 2020. His research includes experimental validation and real-time control systems, particularly in hydropower and battery storage applications. He is also involved in national and international energy strategy discussions, including Switzerland's path to carbon neutrality.

• Electrical Power Systems
• Electrical Distribution Systems
• Distributed Generation
• +۱۲ مورد دیگر

Jinjin Gu is a tenure-track Assistant Professor at Sofia University "St. Kliment Ohridski" 's INSAIT (Institute for Computer Science, Artificial Intelligence, and Technology), leading research on visual cognition and intelligence. Her work spans visual perception, processing, generation, and reasoning. Education: Ph.D. in Electrical and Computer Engineering (2024), University of Sydney B.Sc. in Computer Science and Engineering (2020), Chinese University of Hong Kong, Shenzhen Her research focuses on visual cognition , including agentic systems , diffusion models , GAN architectures , model interpretability , super-resolution , and multimodal vision-language systems . She has developed novel paradigms like HYPIR for diffusion-quality restoration at GAN speeds. Recent publications highlight advancements in image/video restoration , generative modeling , and visual reasoning . Her work addresses critical challenges in model generalization , causal interpretation , and real-world application robustness . Scientific Awards: Stanford University's World's Top 2% Scientists (2024) Yunfan Award at World Artificial Intelligence Conference (WAIC) (2023) She has advised students contributing to TPAMI, CVPR, and ICLR publications, and serves as Area Chair for ICLR 2026, NeurIPS 2025, and ICML 2025.

• Computer Science
• Artificial Intelligence
• Computer Vision
• +۷ مورد دیگر

Michaël Aklin is an Associate Professor of Economics and Management of Innovation at the École Polytechnique Fédérale de Lausanne (EPFL), holding the Chair of Public Policy and Sustainability since joining in 2023. He co-directs the Enterprise for Society (E4S), a joint initiative with IMD and the University of Lausanne. Previously, he was an Associate Professor at the University of Pittsburgh, with a PhD from New York University and postdoctoral work at the University of Pennsylvania. Education: PhD in Economics, New York University MA in Politics, University of Essex BSc in International Studies, Graduate Institute of International and Development Studies Research Interests: Focuses on the political and economic dimensions of sustainable development, energy policy, and climate change. His work bridges environmental economics, public policy analysis, and political economy, with emphasis on just transition policies, renewable energy adoption, and equitable energy access. Recent projects include studies on coal-dependent communities, just transition frameworks in national climate plans, and socio-economic impacts of clean energy transitions. Key Roles: Head of Enterprise for Society (E4S) Member of CDM Management and Doctoral Program Committee (EDMT-GE) Teaching responsibilities include courses on sustainability, technology policy, and econometrics Advising & Grants: Supervises four doctoral students (Bataillard, Fernandez, Touré, Zollner). His research has been supported through grants analyzing energy transitions, policy effectiveness, and socio-economic impacts of green initiatives. Labs & Initiatives: Leads E4S, a multidisciplinary center addressing societal challenges through business and technology innovation. Collaborates on global projects assessing climate policies, energy access disparities, and just transition strategies.

• Public Policy
• Environmental Economics
• Energy Economics
• +۳ مورد دیگر