Patrick Rérat is a Professor at the University of Lausanne, affiliated with the Institute of Geography and Sustainability within the Faculty of Geosciences and Environment. He is a prominent researcher at LIVES (Interdisciplinary Centre of Excellence for Research on Life Course Changes), where he focuses on urban mobility, transportation patterns, and sustainable mobility transitions. His research interests span transportation studies, urban mobility, sustainable transportation systems, cycling research, residential mobility, and the geography of daily mobility practices. Rérat employs interdisciplinary approaches to examine how individuals navigate urban spaces across different life stages, with particular attention to cycling infrastructure, e-mobility adoption, and the relationship between transportation modes and broader social patterns. Rérat's recent work demonstrates a strong focus on cycling practices, with numerous publications examining cargo bike adoption, e-bike usage patterns, and the effects of cycling infrastructure. His research employs various methodological approaches including user segmentation, longitudinal mobility studies, and spatial analysis of urban transportation patterns. He has made significant contributions to understanding how transportation choices evolve across the life course, particularly during youth transitions. His scholarly output includes numerous publications in leading transportation and geography journals, with recent work focusing on contemporary mobility challenges including pandemic-era transportation changes, telework impacts on mobility patterns, and the political dimensions of cycling infrastructure. As a professor at the University of Lausanne, Rérat contributes to advancing research on sustainable urban mobility while training the next generation of geographers and transportation specialists. His work bridges theoretical geographic concepts with practical urban planning applications, making significant contributions to both academic scholarship and urban policy development.
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نمایش ۱۶-۳۰ از ۶۲۷ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Dominique Foray is a Professor at Ecole Polytechnique Fédérale de Lausanne (EPFL) and holds the Chair of Economics and Management of Innovation (CEMI). He is a member of the Swiss Council for Science, chairman of the KOF Swiss Economic Research Institute's Advisory Board, and a foreign member of Columbia University's Center of Capitalism and Society. His career includes extensive advisory roles, such as with the European Commission's 'Knowledge for Growth' group and Germany's Expert Commission for Research and Innovation. Education: Ph.D. in Economics, University Lumière of Lyon (1984) Habilitation à diriger des recherches, University Lumière of Lyon (1992) Foray's research focuses on the economics of innovation, knowledge-based economy dynamics, technology policy, smart specialization strategies, and institutional frameworks for innovation. He has authored seminal works including The Economics of Knowledge (MIT Press, 2004) and Smart Specialisation (Routledge, 2015). His recent publications explore mission-oriented innovation policies, smart specialization in EU contexts, and knowledge diffusion mechanisms. Foray's work bridges academic theory with practical policy design, influencing regional and national innovation strategies globally. Advising: Past EPFL PhD students: Aouinait Camille Marguerite, Ayoubi Charles Chadi, Baruffaldi Stefano Horst, Bednyagin Denis, Bogers Marcellus, Coffano Monica, Conti Annamaria, Cristelli Gabriele, Gaulé Patrick, Hamdan Livramento Intan Maizurah, Marino Marianna, Muñoz Tellez de Kieffer Viviana Carolina, Pellegrin Claudia, Simeth Markus Foray's institutional roles include leadership in European policy initiatives and contributions to the World Bank's studies on innovation's role in economic growth. His interdisciplinary approach integrates economics, policy analysis, and technology management to address grand societal challenges through innovation.
Marion Schulzeمشاهده پروفایل
استادیار
Marion Schulze is an Assistant Professor of Gender Studies and Cultural Anthropology at the University of Basel, serving as Co-Chair of the Center for Gender Studies. Her academic journey includes a joint professorship with Prof. Alain Müller and prior roles as Senior Lecturer at the University of Neuchâtel and doctoral researcher at the University of Basel. She holds a PhD in Sociology from Basel and a degree in Arts and English from the University of Osnabrück, Germany. Her research intersects feminist epistemology, sociology of social worlds, and knowledge materialities. Key projects include studying verbs-as-concepts in feminist theory (earning an SNSF Spark Grant), analyzing hardcore-punk's gender knowledge systems, and investigating digital infrastructures through K-Drama viewer studies. She also explores analog design practices and non-human entities in social world ecologies. Notable achievements include founding a EU-COFUND graduate school at the Swiss School of Public Health, authoring the monograph Hardcore & Gender , and curating an 1980s hardcore graphic design blog series. Her work bridges theory and practice through participatory ethnography and innovative archival methods. Key Research Themes: Feminist material theory, social world ecologies, hyphenation in feminist texts, multi-reality frameworks Methodological Innovations: Figure-ground archiving, organo-graphic approaches, translocal ethnography Prior professional milestones include building interdisciplinary academic programs and advancing queer methodologies in subcultural studies. Her current projects explore the intersection of plants and social worlds through material feminist frameworks.
Matej Vargaمشاهده پروفایل
پژوهشگر
Matej Varga is a Scientific Assistant and Postdoctoral Researcher at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, working in the Geosensors and Engineering Geodesy group under Prof. Andreas Wieser since 2021. His research spans geometrical geodesy, physical geodesy, and satellite geodesy, with applications in both theoretical and practical domains. Dr. Varga's research interests focus on spatial, temporal and spectral analysis of geodetic data, with particular expertise in geodetic reference systems and frames, gravity and geomagnetic field modeling at all temporal and spatial scales, and multi-GNSS multi-frequency positioning and monitoring. His work integrates geometrical and physical aspects of geodesy to address complex Earth observation challenges, particularly in infrastructure monitoring and geophysical applications. His recent publications demonstrate a strong trend toward high-precision geodetic applications for major scientific infrastructure, most notably the Future Circular Collider project, alongside important contributions to earthquake impact analysis, geomagnetic network development, and gravity field modeling. His research bridges traditional geodetic methods with modern computational approaches, including machine learning applications for point cloud registration. Dr. Varga is actively involved in the GSEG research group at ETH Zurich, contributing to the development of geodetic infrastructure and reference systems. His work has practical applications in infrastructure monitoring, earthquake analysis, and scientific projects requiring extreme geodetic precision.
- Geodesy
- Geomatics
- Physical Geodesy
- +۷ مورد دیگر
Prof. Dr. Mike Martin is a leading researcher at the University of Zurich's Center for Gerontology . His work spans cognitive aging, social development in old age, and life-span developmental psychology, with a focus on ecological validity in aging research. Professor, University of Zurich Director, Zurich Longitudinal Study on Cognitive Ageing Co-editor, Journals of Gerontology series Key research areas include: Healthy aging and quality of life Cognitive-emotional interactions in aging Dyadic adaptation in dementia caregiving Mobile sensing of aging-related behaviors Participatory research methodologies Language use as a biomarker of aging His recent publications analyze: GPS mobility and cognitive function Machine learning in reminiscence detection Prospective memory trajectories Emotion regulation in couples Digital interventions for cognitive health Neuroimaging correlates of aging
Meredith Fowlieمشاهده پروفایل
پژوهشگر ارشد
Meredith Fowlie is a Research Fellow at the University of California, Berkeley, affiliated with the Department of Agricultural & Resource Economics and the Environment and Energy Economics Program. Her work focuses on environmental economics, energy policy, and industrial regulation, with particular expertise in climate policy, emissions trading, and market-based solutions. University : University of California, Berkeley School : College of Natural Resources Department : Department of Agricultural & Resource Economics Role : Co-Director of the Environment and Energy Economics Program, Research Fellow Over the past two decades, Fowlie has led influential research on carbon pricing, insurance market adaptations to climate change, energy efficiency programs, and regulatory design. Her publications span topics like NOx trading programs , satellite-based air quality analysis , and default effects in electricity pricing . She has collaborated extensively with scholars such as Catherine Wolfram, Christopher R. Knittel, and Nicholas Muller. Her recent work (2025-2022) emphasizes catastrophe insurance equity , climate risk classification , and carbon pricing mechanisms . Earlier studies (2020-2008) addressed co-benefits in regulatory analysis, emissions leakage in incomplete markets, and optimal pollution regulation across stationary/non-stationary sources.
Maartje Bastings is an Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL) , leading the Programmable Biomaterials Laboratory (PBL) within the School of Engineering (STI) . She holds additional affiliations with the Institute of Materials (IMX) , IBI-STI (Bioengineering), and supervises doctoral programs in Biotechnology and Biological Engineering ( EDBB-GE ) and Materials Science and Engineering ( EDMX-GE ). Her research focuses on DNA-based supramolecular materials engineered to achieve dynamic reciprocity —a two-way interaction between synthetic materials and biological systems. By leveraging DNA as a programmable scaffold, she investigates structural mechanics, valency control, and geometric constraints governing self-assembly and cell communication at bio-interfaces. Key applications include immune system modulation, diagnostics , and vaccine development . Analysis of her 15 most recent publications reveals a focus on multivalent interactions for T-cell activation, spatial patterning in immune signaling, and engineered coatings for DNA origami stability. Subfields span T cell receptor engineering , nanoscale protein dynamics , stimuli-responsive biomaterials , and bio-inspired therapeutic design . PhD Students: Chen Yuduo Hendrickx Pauline Bart M. Kononenko Artem Li Shujie Lou Yameng Meyer Pitt Narita Minako Rousseau Benjamin Bila Hale Caroprese Vincenzo Comberlato Alice Kurisinkal Eva Eugene Paloja Kaltrina Rodríguez Franco Hugo José Tekin Cem Wong Siu Ho Contact: maartje.bastings@epfl.ch
Olga Vysotskaمشاهده پروفایل
پژوهشگر
Dr. Olga Vysotska is a Researcher affiliated with the Professorship for Robotic Systems at ETH Zurich's Department of Mechanical and Process Engineering. Her work focuses on advancing robotic systems through research in sensor-based navigation, SLAM (Simultaneous Localization and Mapping), and autonomous systems. She holds a doctoral degree and is based in Zurich, Switzerland. Her email is olga.vysotska@inf.ethz.ch. Research Interests: Olga's research spans robotics, computer vision, and autonomous navigation. She specializes in LiDAR-based place recognition, SLAM algorithms, and cross-modal localization using 3D scene graphs. Her work addresses challenges such as environmental changes, sensor fusion, and data association in dynamic environments like agriculture and underground exploration. Key themes include robust localization, loop closure detection, and adaptive algorithms for real-world robotic applications. Publications Overview: Olga's recent work emphasizes diffusion-based LiDAR place recognition (2025), 4D spatial-temporal mapping for agricultural robots (2023), and SceneGraphLoc for cross-modal localization (2024). Her research trends highlight innovation in sensor integration, algorithmic robustness, and practical applications in challenging environments. Earlier contributions include exploration of catacombs with mobile robots (2013) and SLAM enhancements using public map data (2017). Grants & Advising: While specific grants or student advisement details are not listed, her active publication record suggests involvement in funded research projects. Her work often collaborates with industry and academic partners to advance robotic autonomy in complex scenarios. Labs/Teams: As part of the Robotic Systems Professorship, she likely contributes to ETH Zurich's robotics labs focused on SLAM, sensor systems, and autonomous navigation. Her projects may intersect with the Department's broader initiatives in mechanical and process engineering.
- Robotics
- Computer Vision
- Sensor Systems
- +۳ مورد دیگر
Danny Yaganمشاهده پروفایل
پژوهشگر
Danny Yagan is a Researcher at the University of California, Berkeley Department of Economics, with expertise in public economics, taxation, and income inequality. He contributes to the National Bureau of Economic Research (NBER) and the Conference on Research in Income and Wealth. His research focuses on fiscal policy, including deficit sustainability and the "growth dividend" concept. He has extensively studied pass-through business entities' impact on labor income share and inequality, using administrative tax data to analyze wealth distribution and taxation of top earners. Recent work examines spatial inequality trends, place-based redistribution, and the role of colleges in intergenerational mobility. Collaborations with scholars like Raj Chetty, Emmanuel Saez, and Owen Zidar highlight his interdisciplinary approach. Yagan's publications span topics including tax reform, capital taxation, and household investment behavior. He is actively involved in policy analysis and empirical economic research.
- Public Economics
- Tax Policy
- Income Inequality
- +۵ مورد دیگر
Aravind Rajeswaran is a Research Scientist at Meta AI (FAIR) and Visiting PostDoc/Collaborator at Berkeley AI Research Lab (BAIR) at UC Berkeley's College of Engineering, Department of Electrical Engineering and Computer Sciences. He completed his PhD in Computer Science at the University of Washington under Profs. Sham Kakade and Emo Todorov, with additional collaborations with Sergey Levine and Chelsea Finn, and previously earned his bachelor's degree with the best undergraduate thesis award from IIT Madras working with Balaraman Ravindran. His research focuses on building generalist AI agents that operate in open worlds, combining reinforcement learning, representation learning, and world models. Key projects include Locate 3D for real-world object localization, OpenEQA for embodied question answering with foundation models, VC-1 as an artificial visual cortex for embodied intelligence, and R3M as a universal visual representation for robot manipulation. His work demonstrates how pre-trained visual representations can significantly enhance robotic capabilities with minimal supervision. Rajeswaran's publication record shows consistent high-impact contributions across premier AI conferences including NeurIPS, ICML, CVPR, and RSS from 2018 through 2025, with research spanning reinforcement learning, representation learning, robotics, and computer vision. His work on Decision Transformer demonstrated how sequence modeling frameworks can effectively train reinforcement learning policies. Best Paper Award, Scaling Robot Learning Workshop at ICRA 2022 best undergraduate thesis award from IIT Madras As an educator and mentor, Rajeswaran has guided numerous PhD students who have gone on to positions at Stanford, MIT, CMU, Berkeley, and top AI companies including Meta, DeepMind, and Anthropic. He designed and co-taught the Deep Reinforcement Learning course (CSE599G) at UW in 2018, with materials adopted by courses at MIT and CMU, and served as lead TA for Machine Learning for Big Data (CSE547). His research has been supported through his role as Principal Investigator for the Cortex Team at FAIR.
Patrick Emmenegger is a Professor of Comparative Political Economy and Public Policy at the University of St. Gallen's School of Economics and Political Science (SEPS-HSG). He chairs the PhD Program in International Affairs and Political Economy and serves on the Executive Committee of the Council for European Studies. His research focuses on direct democracy, electoral systems, vocational education policy, and the political economy of skill formation. He has held roles in federal vocational education commissions and served as editor of the Socio-Economic Review. His academic interests include the interplay between economic policy and political institutions, particularly in Switzerland and Europe. Recent work examines voter behavior in direct democratic contexts, electoral district design, and the adaptation of skill formation systems to the knowledge economy. He co-authored a forthcoming book on electoral system reforms and contributed to policy reports on industrial policy and education reforms. Key research outputs include analyses of higher education as industrial policy, municipality-level voting patterns in Switzerland, and partisan strategies in electoral districting. His work bridges comparative political economy with methodological rigor, addressing topics like taxation politics, labor market governance, and the impact of war on state capacity. Advising and grants include leadership of the PhD program and contributions to federal education policy initiatives. His research team explores themes such as gender segregation in occupations and the role of skill requirements in labor markets. He maintains strong links with European policy networks through his involvement in the Council for European Studies.
Frédéric Robert-Nicoud is Full Professor of Political Economy at the Geneva School of Economics and Management (GSEM) , University of Geneva. He has held academic positions at HEC Lausanne and the London School of Economics (LSE), with visiting roles at CEMFI, CERAS, CORE, Princeton, and other institutions. His research focuses on Economic Geography, Urban Economics, and International Trade , with significant contributions to agglomeration theory, trade liberalization, and spatial sorting. Education: PhD in Economics, London School of Economics (2002) Master's in Econometrics and Mathematical Economics (Summa Cum Laude, 1999) Master's in International Relations (HEID, 1996) Bachelor's in Economics (University of Geneva, 1994) His research interests explore the interplay between trade liberalization, urban inequality, tech clusters, and labor market dynamics. Recent work analyzes climate change's geographic implications and structural transformation in cities. He has developed frameworks for understanding highway impacts on spatial sorting, agglomeration effects, and trade's role in unemployment. Key scientific awards include: CEPR Fellow Affiliated with Spatial Economic Research Centre (SERC) Former Editor of Journal of Economic Geography (6 years) Former Associate Editor of Review of International Economics (4 years) Member of Conseil scientifique des économistes His grants and fellowships span NBER, CEPR, and SERC affiliations. He has presented at major conferences including the Urban Economics Association Annual Meetings, European Economic Association Congress, and World Trade Institute seminars.
Emily Cross is a Full Professor at the Department of Humanities, Social and Political Sciences at ETH Zurich, leading the Social Brain Sciences Professorship since spring 2023. She previously held professorships at Bangor University (Wales), University of Glasgow (Scotland), Macquarie University (Australia), and Western Sydney University's MARCS Institute (Australia). Her research centers on how embodied experience shapes social learning and perception across diverse contexts. Key contributions include identifying neural signatures of embodied expertise using dancers, developing embodied neuroaesthetics theory, uncovering neurocognitive foundations of visual learning across lifespans, and pioneering paradigms for human-robot social engagement. Her interdisciplinary approach bridges technology, performing/visual arts, and social sciences to explore experience-dependent plasticity at brain and behavioral levels. Recent publications (2024-2025) demonstrate intense focus on human-robot interaction dynamics, aesthetic movement perception, and context-dependent social cognition. Work increasingly examines self-disclosure mechanisms to robots, cultural influences on robot acceptance, and neural correlates of movement synchrony, reflecting her expanding influence at the neuroscience-robotics intersection. Scientific awards include: Philip Leverhulme Prize for Psychology Jacob Bronowski Award from British Science Foundation Young Talent Award from Dutch Neuroscience Society RoboHub and Insight Analytics top women in robotics listings Australia’s Superstars of STEM (2022) Cross passionately trains next-generation scientists with emphasis on research ethics. Her work attracts major funding from ERC, NIH, Fulbright Commission, ESRC, EPSRC, and UK Ministry of Defence. She serves on UNESCO’s International Bioethics Committee (co-rapporteur for neurotechnology ethics report) and as Associate Editor for International Journal of Social Robotics. She leads ETH Zurich's dynamic Social Brain Sciences group, which embraces interdisciplinarity through research paradigms bridging technology, performing/visual arts, and biological/social sciences, while maintaining active roles in editorial boards and conference committees including Intelligent Virtual Agents and Affective Computing meetings.
Prof. Patrick Jenny is a Full Professor at the Department of Mechanical and Process Engineering and Head of the Institute of Fluid Dynamics at ETH Zurich. His research focuses on computational fluid dynamics (CFD), numerical methods for turbulent and multiphase flows, and reservoir simulation. He has held positions at ChevronTexaco and Cornell University, and received the National Latsis Prize 2005. PhD in CFD from ETH Zurich (1997) Postdoctoral work at Cornell University (1997–1999) Senior Researcher at ChevronTexaco (1999–2003) Research interests include: turbulent reactive flows, PDF modeling, multi-scale reservoir simulation, and data assimilation in engineering systems. He teaches courses on fluid dynamics, turbulence, and computational methods. Over 100 peer-reviewed publications span topics like fracture modeling, LES/RANS coupling, and particle-laden flows. His work bridges academia and industry, addressing challenges in energy systems, environmental engineering, and numerical algorithms. Winner: National Latsis Prize 2005 Led over 20 PhD projects and collaborates with institutions globally. His lab develops open-source tools for CFD and energy systems analysis.
Niklas Linde is a full professor at the University of Lausanne's Faculty of Geosciences and Environment, leading the Department of Earth Sciences. He holds a PhD in Geophysics from Uppsala University (2005) and has held roles including Assistant Professor (2008), Associate Professor (2013), and Full Professor (2019). His research focuses on transforming geophysical signals into realistic hydrogeological models with rigorous uncertainty quantification. Key areas include probabilistic inversion, Bayesian methods, and geostatistical modeling applied to environmental and subsurface processes. Education: PhD in Geophysics (Uppsala University, 2005), postdoctoral positions at Lawrence Berkeley National Lab (USA), CNRS-CEREGE (France), and ETH Zurich (Switzerland). He joined UNIL in 2008 as an Assistant Professor in Environmental Geophysics. Research interests span geophysical inversion techniques, subsurface heterogeneity characterization, and the integration of geophysical and hydrological data. Current projects emphasize Bayesian approaches for model selection and rare event estimation, supported by grants from the European Commission and Swiss National Science Foundation. Collaborations involve international teams addressing challenges in hydrogeology, rock fracture dynamics, and 4D hydrogeology. Publications reflect advancements in inverse problem solving, stochastic simulation, and machine learning applications. His work bridges theory and practice, with field studies in alpine environments, fractured media, and environmental monitoring. Students under his supervision have explored topics like deep generative networks and Bayesian hydrogeological inversion. Advising: Supervised over a dozen PhD students, including recent works on variational Bayesian methods and geophysical data fusion. Grants include projects on uncertainty quantification and experimental design. Active in scientific societies and editorial roles, contributing to methodological advancements in Earth sciences.