جستجوی استاد راهنمای دانشگاهی

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

Fabio Sigrist is a Professor of Applied Statistics and Data Science at the Institute of Financial Services Zug (IFZ) , part of the Lucerne University of Applied Sciences and Arts . He also holds a Senior Scientist and Lecturer position at the Seminar for Statistics, ETH Zurich . His career spans academic research, industry consulting, and project leadership in finance and data science. PhD in Statistics (2013), ETH Zurich MSc in Mathematics with distinction (2008), ETH Zurich MEd in Mathematics Education (2008), ETH Zurich Sigrist’s research focuses on integrating Machine Learning with Spatial Statistics for applications in Financial Econometrics and Credit Risk . His work includes developing novel algorithms like GPBoost and KTBoost , advancing spatio-temporal modeling , and applying tree-based boosting to financial problems. Projects such as CreHos (credit risk in hospitality) and NISMO (interpretable real estate modeling) highlight his interdisciplinary approach. His publications address challenges in large-scale spatial data , loss given default modeling , and stock volatility prediction . He contributes to software development with tools like spate (R package) and varycoef (spatially varying coefficients).

• Machine Learning
• Spatial Statistics
• Financial Econometrics
• +۳ مورد دیگر

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.

• Environmental Economics
• Energy Economics
• Industrial Organization
• +۲ مورد دیگر

Johanna Ziegel is a Professor of Statistics at ETH Zurich, Switzerland, since 2024, and a Visiting Scientist at the Heidelberg Institute for Theoretical Studies (HITS). Previously, she held positions at the University of Bern, where she was promoted to Full Professor in 2023. Her research focuses on decision-theoretically sound methods for forecast evaluation, probabilistic forecasting, risk measures in finance, and applications in meteorology, medicine, and climate science. She is actively involved in editorial roles for journals like Bernoulli , JASA: Theory & Methods , and SIAM Journal on Financial Mathematics . Education: PhD in Stereological Analysis of Spatial Structures from ETH Zurich (2010), supervised by Paul Embrechts and Eva B. Vedel Jensen. Postdoctoral research at the University of Melbourne and Heidelberg University. Research Interests: Forecast evaluation, elicitable functionals, risk measures, isotonic regression, statistical calibration, and applications in finance, climate science, and biostatistics. Her work bridges theoretical statistics with practical challenges in uncertainty quantification and decision-making under uncertainty. Advising & Collaborations: Supervised 7 PhD students and mentored several postdocs. Collaborates with the Computational Statistics group at HITS and the Oeschger Centre for Climate Change Research. Her group explores distributional regression under order constraints and novel methods for forecast comparison. Recognition: Credit Suisse Award for Best Teaching (2022), H.I.T. Program for Academic Leadership (2021–2022). Active in professional service, including the Bernoulli Society Council and editorial boards.

• Statistical Forecasting
• Probability Theory
• Financial Risk Management
• +۳ مورد دیگر

David Manuel Bozzini is a Full Professor at the University of Fribourg , affiliated with the Faculty of Letters and Human Sciences within the Department of Social Sciences . He also serves as a Lecturer in the Department of Computer Science (Faculty of Science and Medicine), indicating interdisciplinary expertise. Joined University: 2017 Research Focus: Bozzini's work examines state surveillance mechanisms in militarized contexts, particularly in Eritrea and its diaspora. His research spans political anthropology, digital security, and cryptography, analyzing how insecurity is socially constructed and resisted through both traditional and technological means. Publications: His recent works explore: Ethnographic analysis of surveillance practices Digital repression in authoritarian regimes Political mobilization among exiles Technological resistance strategies Contact: Email: david.bozzini@unifr.ch Phone: +41 26 300 7840

• State Surveillance and Repression
• Eritrean Diaspora Mobilization
• Cryptography and Digital Security
• +۳ مورد دیگر

Prof. Dr. Jochen Menges is a Professor at the University of Zurich , holding the Chair of Human Resource Management and Leadership within the Department of Business Administration under the Faculty of Business, Economics and Informatics . He serves as Director of the Center for Leadership in the Future of Work and contributes to the DSI Community Work. Research Interests: His work bridges leadership studies , emotional intelligence , mindfulness practices , and digital transformation in work environments. Key areas include charismatic leadership attribution , AI-human collaboration , emotion regulation , and future of work dynamics . Recent Publications: Menges explores how anthropomorphic AI affects workplace emotions, develops VR-based organizational simulations , and investigates the role of awe in leadership perception . His 2024 guest editorial on human-centered future of work emphasizes balancing technological and human needs. Emerging Insights: Studies on emotional responses to AI , mindfulness interventions , and gender dynamics in emotional intelligence demonstrate his focus on emotional and psychological dimensions of modern work. His populist support research connects negative affect with global political trends.

• Leadership
• Future of Work
• Emotional Intelligence
• +۲ مورد دیگر

Dr. Damian Nale Dailisan is a Lecturer in the Department of Humanities, Social and Political Sciences at ETH Zürich, affiliated with the Computational Social Science group. He holds a Ph.D. in Physics from the University of the Philippines, specializing in traffic modeling and machine learning applications. His research focuses on multi-agent systems, particularly in transportation and urban systems. He has held postdoctoral roles and contributed to projects like the ACCeSs@AIM lab. His work bridges computational methods with real-world challenges, including traffic control optimization, AI-driven decision-making, and smart city infrastructure. Notable projects include FAIRLANE for priority lane management and studies on democratizing traffic control systems. Dailisan’s publications span journals like Transportation Research Part C and IEEE Access, addressing topics such as reinforcement learning in traffic signals and ethical AI frameworks. He has presented at workshops like 'Back to the Future' at ETH Zurich and collaborates with interdisciplinary teams to enhance urban mobility solutions. His technical expertise includes Python, network analysis, and agent-based modeling, with contributions to open-source tools for earthquake networks and social systems analysis.

• Computational Social Science
• Machine Learning
• Multi-Agent Systems
• +۳ مورد دیگر

PD Dr. Kaspar Riesen is the Head of the Pattern Recognition Group at the Institute of Computer Science, University of Bern. His research focuses on graph-based methods for pattern recognition, with applications in document analysis, environmental modeling, and healthcare. Key interests include graph matching, neural networks, and spatio-temporal modeling. His work spans structural pattern recognition, graph embeddings, and keyword spotting in historical documents. Recent projects involve river network analysis using graph regression and hypoglycemia prediction via LSTM-GNN hybrid models. Publications emphasize graph theory advancements, such as normalized graph compression and geometric similarity learning. Collaborations include developing specialized algorithms for automated error detection and improving decision-making in simulated sports. Labs/Teams: Pattern Recognition Group (PRG) at the University of Bern.

• Pattern Recognition
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Jonathan S. Skinner is a Professor at Dartmouth College, Department of Economics, and a professor at the Dartmouth Institute for Health Policy and Clinical Practice within the Geisel School of Medicine. He serves as the Aging Program Director at the National Bureau of Economic Research (NBER) and has contributed extensively to understanding healthcare productivity, technology adoption, and policy implications for aging populations. Key research areas: Health Economics, Economics of Aging, Public Policy Current projects focus on Medicare/Medicaid spending, geographic healthcare disparities, and pandemic impacts on vulnerable populations. Publications (2023–2010) reveal trends in healthcare fraud networks , racial segregation in hospital admissions , and end-of-life expenditures . His work often integrates Medicare claims data and network analysis to assess systemic inefficiencies. Recent scientific collaborations include partnerships with institutions such as the NBER and JAMA Network Open. He has analyzed regional mortality disparities and technology diffusion in clinical settings, with implications for public health strategy.

• Health Economics
• Economics of Aging
• Health Policy
• +۷ مورد دیگر

Jeanne Mengis is Full Professor of Organizational Communication at the Faculty of Communication, Culture and Society, University of Italian Switzerland (USI), and Associate Professor at Warwick Business School, UK. She is also Director of the Institute of Marketing and Corporate Communication (IMCA), where she leads interdisciplinary research and educational initiatives. Full Professor, USI Associate Professor, Warwick Business School Director, IMCA Her research focuses on organizational communication, with emphasis on materiality, interdisciplinary coordination, managerial attention, and organizational learning. She employs qualitative and visual methods to study knowledge processes, workspaces, and decision-making in complex organizations. The recent publications reflect a strong trend in interdisciplinary research at the intersection of communication, organization, and society. Key themes include digital transformation, sustainability, materiality, and ethical consumption. Her work often combines sociomaterial perspectives with critical inquiry into markets, identities, and innovation. She has received recognition through publications in top journals such as Organization Science , Organization Studies , and Social Science & Medicine , though specific awards are not listed. Jeanne Mengis has supervised students at PhD, Master’s, and Bachelor levels across institutions including Warwick, St. Gallen, and ETH Zurich. She leads consulting projects with organizations like Hugo Boss, Lindt & Sprüngli, and Postfinance, integrating teaching and practice. She also serves as Chairman of a Board of Directors, bridging academic and corporate governance. She leads the IMCA research community, which focuses on cultural marketing, corporate communication, and transformative consumer research. The institute fosters collaborations with companies and communities, emphasizing sustainability, identity, and innovation.

• Organizational Communication
• Corporate Communication
• Organizational Behavior
• +۱۸ مورد دیگر

Colleen Marie Carey serves as Associate Professor of Economics and Public Policy at Cornell University, Faculty Research Fellow at the National Bureau of Economic Research (NBER), and Co-Editor of the American Journal of Health Economics. Her research focuses on health care and health insurance market economics, with prior roles including Robert Wood Johnson Scholar at the University of Michigan, Staff Economist at the Council of Economic Advisers, and 2024-25 CMS Fellow. Dr. Carey's research centers on disability insurance dynamics, Medicare/Medicaid policy analysis, and health disparities. She investigates how economic conditions affect Social Security Disability Insurance enrollment across racial groups, examines provider payment reforms' impact on low-income populations, and analyzes pharmaceutical marketing influences on physician behavior. Her work consistently leverages administrative data to assess policy impacts on vulnerable communities, with particular attention to opioid epidemic interventions and racial/ethnic health inequities. Her publication trends reveal sustained focus on health insurance market design and vulnerable populations, with recent work expanding into pandemic response equity and pharmaceutical regulation. Articles increasingly integrate racial disparity analysis with economic modeling, demonstrating methodological evolution from single-program evaluations to cross-cutting policy assessments. Finalist for National Institute for Health Care Management Foundation’s 31st Annual Health Care Research Award Finalist for National Institute for Health Care Management Foundation’s 27th Annual Health Care Research Award Finalist for National Institute for Health Care Management Foundation’s 24th Annual Health Care Research Award Dr. Carey directs significant research grants through the Retirement and Disability Research Center, including project NB20-01 on health variations among disability insurance recipients. Her work receives consistent federal funding with direct policy relevance, evidenced by CMS fellowship appointment and frequent citations in government reports. While student advising isn't documented in source materials, her NBER affiliation and journal editorship indicate active mentorship within the health economics community. She contributes to the Retirement and Disability Research Center's collaborative framework, working with multi-institutional teams to analyze longitudinal administrative data from Medicare and Social Security systems.

• Health Economics
• Public Policy
• Disability Insurance
• +۴ مورد دیگر

Prof. Dr. Martin Raubal is a Full Professor at the Institute for Cartography and Geoinformation, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich. He leads research on spatial decision-making, mobile GIS, and location-based services, with applications in transportation, energy, and aviation. His work integrates cognitive engineering and eye-tracking to analyze human mobility and interaction with geospatial systems. Doctorate in Geoinformation (with distinction), Vienna University of Technology (2001) MS in Spatial Information Science and Engineering, University of Maine (1997) Dipl.-Ing. in Surveying Engineering and Geoinformation, Vienna University of Technology (1998) His research focuses on spatiotemporal human mobility, cognitive models for GIS, and sustainable urban systems. Key projects include the Digital Underground initiative at the Singapore-ETH Centre and the Empirical Use and Impact Analysis of Mobility-as-a-Service (EIM). Awards include the UV-Helava Prize and multiple best paper recognitions. Recent publications emphasize 3D spatial analysis, AI-driven geospatial tools, and causal inference in mobility modeling. Collaborations span institutions like Lufthansa Systems, SBB, and ETH-IVT. His lab investigates applications such as electric vehicle charging networks, bikeability indexes, and augmented reality in transportation planning.

• Spatial Decision-Making
• Mobile Geographic Information Systems (GIS)
• Location-Based Services (LBS)
• +۷ مورد دیگر

Raphaël Baur is a Lecturer at the Department of Humanities, Social and Political Sciences at ETH Zürich, with affiliations to the ETH AI Center and OAT X. His research focuses on integrating cognitive science and reinforcement learning into architectural design, emphasizing evidence-based methodologies and educational tools. He develops frameworks for human-centered design and investigates how feedback mechanisms can enhance AI-driven decision-making in architecture. His work spans interdisciplinary areas, including the application of machine learning to architectural learnability, the design of educational tools like MazeMastery for high school curricula, and the creation of toolkits such as DesignMind to bridge cognitive science and spatial design. Key publications highlight trends in reinforcement learning with human feedback, evidence-based architectural pedagogy, and the cognitive foundations of architectural practice. Baur’s contributions aim to advance both theoretical and applied aspects of design through computational and behavioral insights. Labs/Teams: Active member of the ETH AI Center and OAT X, collaborating on projects at the intersection of AI, education, and spatial design.

• Architectural Design
• Evidence-Based Design
• Reinforcement Learning
• +۳ مورد دیگر

Prof. Harald Bugmann is a Full Professor of Forest Ecology at ETH Zurich's Department of Environmental Systems Science. He previously held roles as Assistant Professor (1999–2004) and Extraordinary Professor of Forest Ecology. His research focuses on long-term dynamics of forest ecosystems under environmental change, particularly in mountain forests and disturbance regimes like wildfires. He contributed to the IPCC and led projects under the IGBP's Global Change and Terrestrial Ecosystems (GCTE) and Mountain Research Initiative (MRI). Education: PhD in Terrestrial Ecology from ETH Zurich (1994), M.Sc. in Limnology, and studies in Systematics/Ecological Biology. Awards include the ETH Medal for his PhD and MSc theses, and the Swiss Limnology-Hydrobiology Award (1990). Research Interests: Climate change impacts, forest resilience, and ecological modeling. Key contributions include studies on drought-driven tree mortality, nitrogen's role in soil carbon dynamics, and participatory scenario processes for climate adaptation. Awards: ETH Medal for PhD thesis (1994) Swiss Limnology-Hydrobiology Award (1990) ETH Medal for MSc thesis (1989) Grants & Projects: Leads the MainWood project on sustainable forest use and collaborates on initiatives like the Forest Ecology Group (FE.ETHZ.CH). Labs/Teams: Director of the Forest Ecology Group at ETH Zurich, involved in the Zurich Forest Lab (Waldlabor Zürich) for applied research and knowledge transfer.

• Forest Ecology
• Climate Change
• Environmental Dynamics
• +۳ مورد دیگر

Prof. Fred Mast is a full professor of Cognitive Psychology at the University of Bern, leading the section 'Cognitive Psychology, Perception, and Research Methods'. He holds positions as Co-Director of the Interfacultary Research Cooperation 'Decoding Sleep' and Head of the Technology Platform at the Faculty of Humanities. Previously, he was Dean of the Faculty of Humanities (2015-2017) and held academic roles at Harvard University, MIT, and the University of Lausanne. His research focuses on mental imagery, sensorimotor processing, and visual perception, funded by the Swiss National Science Foundation. Education: PhD in Psychology from University of Zurich, Habilitation (2003), and full professorships at multiple institutions. Key roles include: Member of the Management Board of the Translational Imaging Center (TIC) Bern Co-leader of the Decoding Sleep initiative Research emphasizes experimental studies on perception and cognitive processes, with recent work exploring neurostimulation effects and virtual reality applications. His labs focus on interdisciplinary approaches combining psychology, neuroscience, and technology.

• Cognitive Psychology
• Sensorimotor Processing
• Visual Perception
• +۳ مورد دیگر