جست‌وجوی استاد و پژوهشگر

Stéphanie Dagronمشاهده پروفایل

استاد

• International Health Law
• European Health Law
• Human Rights
• +۴ مورد دیگر

Stéphanie Dagron is a Full Professor of Law at the University of Geneva since 2016 and an Associate Professor at the Faculty of Medicine since 2019. She is affiliated with the Global Studies Institute and the Institute of Global Health , focusing on the intersection of human rights , global health law , and social security . Education : PhD in International and European Law from the Universities of Poitiers (France) and Saarbrücken (Germany) Prior Positions : Research Fellow at Max-Planck-Institute, Lecturer at Saarbrücken, Strasbourg, Poitiers, Heidelberg Research Projects : Juridification of Global Health Concerns (2013-2019) funded by Swiss National Science Foundation Her research integrates international health law , human rights , and comparative administrative law , with a focus on access to medicines , tuberculosis control , and health equity . She has advised the World Health Organization (WHO) on tuberculosis and human rights since 2013, contributed to policy reports on MDR-TB management in Eastern Europe, and serves on the WHO Research Ethics Committee since 2019. Her work emphasizes legal frameworks for global health governance, equitable epidemic response , and health rights in post-2015 development agendas . She has mentored doctoral students like Mory Keita on Ebola outbreak strategies and published extensively on pandemics, health systems, and biomedical ethics.

Eric Zouمشاهده پروفایل

استادیار

• Environmental Economics
• Health Economics
• Air Pollution
• +۴ مورد دیگر

Eric Zou is the Sanford R. Robertson Assistant Professor of Business Administration and Assistant Professor of Business Economics and Public Policy at the University of Michigan's Ross School of Business. He is also a Faculty Research Fellow at the National Bureau of Economic Research. His research bridges environmental economics, health economics, and digital technology applications to address pressing sustainability challenges. Dr. Zou's research interests focus on environmental economics with particular emphasis on air pollution monitoring systems, health impacts of environmental hazards, and digital solutions for sustainability challenges. His work examines how strategic behavior affects pollution monitoring, the health consequences of air pollution (particularly from wildfire smoke), and how digital platforms can mobilize environmental action. He has conducted extensive research on China's environmental policies and their health impacts, as well as innovative economic approaches to sustainability challenges including microgiving platforms and digital stimulus programs. His publications reveal a strong pattern of interdisciplinary research connecting environmental science with economic analysis, often using novel data sources including satellite monitoring, administrative health records, and digital platform data. His recent work shows increasing focus on digital solutions for environmental challenges, examining how technology can transform latent environmental support into measurable outcomes. Faculty Research Fellow, National Bureau of Economic Research Dr. Zou teaches courses in environmental economics, applied microeconomics, and economics of sustainability at both undergraduate and graduate levels. His research has been supported through his NBER affiliation and likely other funding sources given his extensive publication record in top economics journals. His work has generated significant attention, including media coverage and policy discussions around pollution monitoring systems and environmental policy effectiveness. Dr. Zou previously taught at the University of Oregon where he developed courses in intermediate microeconomic theory, applied econometrics, and environmental economics. His research program demonstrates strong continuity in environmental economics while expanding into digital platform applications for sustainability challenges.

• Corporate Social Responsibility (CSR)
• Sustainability/ESG Reporting
• Big Data Analytics
• +۸ مورد دیگر

Timo Heroth is a Lecturer at the Lucerne School of Business , affiliated with the Controlling Department at the Institute of Financial Services Zug (IFZ) . He serves as co-head of the ESG Reporting Specialized Course and co-founder of Equintel GmbH, specializing in data-driven ESG intelligence. Education : Ph.D. Programme in Management (University of St. Gallen, 2020–2024), Certificate European Financial Analyst (2018), Master of Arts in Chinese Studies (Free University Berlin, 2012–2015), and Diploma in Business Administration and Chinese Studies (University of Applied Sciences Konstanz, 2004–2008). His research focuses on Corporate Social Responsibility (CSR) , ESG Reporting , Big Data Analytics , and Corporate Finance , with projects spanning topics like AI-powered ESG platforms, carbon capture technology analysis, and digitalization in raw materials. His publications highlight applications of Natural Language Processing in corporate culture assessment and pandemic-era media analysis. Recent publications include studies on data-driven ESG analysis , digital transformation in finance , and AI in sustainability reporting . Articles frequently intersect computational text analysis , stakeholder communication , and strategic sustainability . Professional competencies include Double-Materiality Assessments , Sustainability Strategy , Corporate Finance , and Valuation .

David Starkمشاهده پروفایل

استاد

• Quantum Electronics
• Terahertz Technology
• Semiconductor Physics
• +۳ مورد دیگر

Dr. David Stark is a Professor in the Institute for Quantum Electronics at ETH Zürich. His work focuses on quantum cascade lasers (QCLs), terahertz (THz) technology, and integrated photonics. He leads research into surface-emitting quantum cascade lasers (QCSELs), THz frequency combs, and low-dissipation optoelectronic devices. His team develops novel semiconductor heterostructures for THz emission and explores applications in coherent photonics. Professorship for Experimental Physics ETH Zürich, Auguste-Piccard-Hof 1 Research interests include quantum well engineering, nanoscale device fabrication, and commercialization pathways for QCL-based technologies. Key innovations involve inverse-designed waveguide facets for broadband THz emission and wafer-level QCSEL testing methodologies. Stark collaborates on low-power dissipation strategies and RF control of frequency combs. His publications emphasize advancements in QCSEL architectures, THz intersubband electroluminescence, and silicon-based THz emitters. He holds expertise in non-equilibrium Green's function simulations for device modeling and FEL-pumped experiments.

• Aviation Navigation
• GNSS Alternatives
• Radio Frequency Interference (RFI) Monitoring
• +۳ مورد دیگر

Dr. Okuary Osechas is a researcher at the ZHAW Zurich University of Applied Sciences , affiliated with the School of Engineering's Aviation Infrastructure group. His work focuses on resilient navigation systems for aviation, particularly addressing GNSS vulnerabilities through alternative technologies like DME, LDACS, and RFI localization. Current projects include leadership roles in EGNSS DFMC for GBAS operations (ongoing) and DME Integrity Monitoring Enhancements (completed). Past projects involve LDACS-based navigation, tropospheric delay modeling, and multipath error detection. His research spans terrestrial navigation alternatives , GNSS jamming/spoofing mitigation , and unpiloted airspace requirements , with publications in venues like IEEE and Institute of Navigation conferences. Collaborations include Gary McGraw, Michael Felux, and Martin Strohmeier. Contact: okuary.osechas@zhaw.ch .

• Natural Language Processing
• Computational Linguistics
• Language Model Interpretability
• +۷ مورد دیگر

Anna Rogers is a leading researcher in Natural Language Processing (NLP), known for her foundational and critical work on language model interpretability, dataset quality, and the ethics of AI systems. She has published extensively at top-tier venues including ACL, EMNLP, and NAACL, often collaborating with prominent researchers like Anna Rumshisky and Isabelle Augenstein. Her research interests center on data curation , model generalization , responsible data use , and transparency in large language models . She has conducted influential surveys on community perspectives regarding intelligence in AI and has contributed to improving peer review practices in NLP conferences. Her work on BERTology, including papers like A Primer in BERTology and Revealing the Dark Secrets of BERT , has become key reading in the field. Recent publications highlight her focus on data transparency (e.g., the ROOTS Search Tool), synthetic content detection , and temporal annotation frameworks like NarrativeTime. She also investigates the robustness of models, probing techniques, and the limitations of current benchmarks. Her work consistently emphasizes methodological rigor and ethical considerations in NLP research. She has advocated for better data practices and more thoughtful evaluation paradigms across the community. Natural Language Processing Computational Linguistics Language Model Interpretability Dataset Curation and Quality Ethics in NLP Peer Review in Academic Conferences Anna Rogers has played a key role in shaping meta-discussions in the NLP field, including peer review reform and the societal impact of language technologies. She has co-organized workshops on negative results and contributed to tutorials on reviewing and data use. Her work bridges technical depth with critical reflection on the direction of the field. She has advised or collaborated with numerous researchers, though specific students are not listed in the available data. She has not received any explicitly mentioned scientific awards in the provided text. Anna Rogers leads or contributes to several open-source initiatives and shared resources, including the DECAF framework, the ROOTS Search Tool, and various datasets such as TimeBankNT and RuSentiment. Her work often includes released code and tools to promote reproducibility and further research.

Niao Heمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization
• Reinforcement Learning
• +۴ مورد دیگر

Prof. Niao He is an Associate Professor in the Department of Computer Science at ETH Zürich. His research focuses on optimization theory, reinforcement learning, stochastic systems, and their applications in machine learning and multi-agent systems. He holds an academic position at one of the world's leading technical universities, contributing to both theoretical advancements and practical algorithmic solutions. His research interests span optimization theory (e.g., convex/non-convex optimization, stochastic optimization), reinforcement learning (policy gradient methods, multi-agent systems), and statistical learning (risk-averse methods, entropy regularization). He has also explored applications in data science, network revenue management, and deep reinforcement learning for complex systems. Recent work emphasizes algorithmic reproducibility, robustness under model uncertainty, and efficient methods for large-scale problems. Notable contributions include novel approaches to minimax optimization, mean-field games, and adaptive learning frameworks. His articles consistently address theoretical guarantees while maintaining practical relevance for real-world computational challenges.

Sandro Ambühlمشاهده پروفایل

استادیار

• Behavioral Economics
• Experimental Economics
• Behavioral Finance
• +۳ مورد دیگر

Sandro Ambühl is the UBS Foundation Assistant Professor of Behavioral Economics of Financial Markets at the Department of Economics, University of Zurich. His research focuses on three key areas: improving financial decision-making, designing policies for ethically sensitive transactions (e.g., organ donation), and understanding cognitive foundations of decision-making. He uses controlled experiments and economic theory to address these questions. His research has been supported by a 2022 Starting Grant from the Swiss National Science Foundation for work on positive welfare economics. Media features include coverage in the Washington Post, Financial Times, Wall Street Journal, NPR, and others. Key research interests include Behavioral Experimental Economics, Behavioral and Experimental Finance, Repugnant Transactions, and Rational Inattention. He is affiliated with the UBS Center for Economics in Society.

• Veterinary Epidemiology
• Zoonotic Diseases
• One Health Approach
• +۵ مورد دیگر

Salome Dürr is a Professor at the Veterinary Public Health Institute of the University of Bern, leading research at the Multidisciplinary Center for Infectious Diseases (MCID). Her work focuses on veterinary epidemiology, zoonotic diseases, and One Health strategies. Key research areas: Rabies elimination, leptospirosis, African swine fever, and foot-and-mouth disease. Specializes in contact network modeling, disease surveillance systems, and socio-economic factors in animal health. Collaborates with international partners in Uganda, Ethiopia, India, and Chad. Recent studies analyze free-roaming dog populations, livestock disease resilience, and community-based surveillance tools. Her work emphasizes data-driven policy decisions and global health security.

• Product Management
• Supply Chain Management
• Artificial Intelligence
• +۳ مورد دیگر

Amin Kaboli is a Lecturer at the Swiss Federal Institute of Technology in Lausanne (EPFL), holding positions in the School of Mechanical and Process Engineering and the School of Computer and Communication Sciences . As Co-Director of the AI Product Management program , he specializes in teaching students to apply AI/ML principles to real-world product development. His academic roles include designing curricula that blend technical engineering with business leadership, such as courses on Sustainable Products and Production Management. He earned a Ph.D. in Manufacturing Systems & Robotics from EPFL and holds a graduate degree in Industrial Engineering. His leadership training at IMD Business School complements his engineering background, enabling him to advise Fortune 500 corporations like Philip Morris International, Nespresso, and Rolex, as well as Swiss startups. His professional experience includes roles as an executive and COO of a startup, alongside work as an executive coach (PCC-certified). Kaboli’s research interests span AI-driven innovation , supply chain optimization , and sustainability . He explores solutions for energy management in smart grids, waste reduction in construction, and fault detection in industrial machinery. His work integrates fuzzy logic, multi-criteria decision-making (MCDM), and hybrid machine learning frameworks to address complex challenges. He teaches courses such as AI Product Management (focus on practical AI/ML applications), Sustainable Products and Supply Chains (sustainability principles and logistics optimization), Production Management (cost-effective manufacturing strategies), and Continuous Improvement of Manufacturing Systems (process optimization and team leadership). No scientific awards or grants are explicitly listed. His contributions include developing frameworks for eco-city solutions and waste management strategies. Kaboli’s office is located at ME A2 408 , EPFL’s Lausanne campus, where he also engages in administrative and educational leadership roles.

Anna Scampicchioمشاهده پروفایل

پژوهشگر

• Intelligent Control Systems
• Model Predictive Control
• Machine Learning
• +۳ مورد دیگر

Dr. Anna Scampicchio is a Researcher at ETH Zürich, affiliated with the Professorship for Intelligent Control Systems. Her work focuses on advancing control theory and machine learning methodologies, particularly in data-driven control systems, model predictive control, and Bayesian learning techniques. She has contributed to the development of algorithms for system identification, optimal control, and robust control strategies. Her research integrates theoretical analysis with practical applications in robotics and dynamical systems. Key publications include studies on kernel methods, randomized signatures for learning dynamics, and Bayesian multi-task learning approaches. Dr. Scampicchio holds a Ph.D. (implied by her title) and has published extensively in top-tier journals and conferences, addressing challenges in intelligent control systems and machine learning integration.

• Urban Transportation Systems
• Autonomous Mobility-on-Demand
• Vehicle Repositioning
• +۴ مورد دیگر

Pengbo Zhu is a researcher at the École polytechnique fédérale de Lausanne (EPFL), specifically affiliated with the Laboratory of Urban Transport Systems (LUTS) within the School of Architecture, Civil and Environmental Engineering (ENAC). His work focuses on developing innovative control algorithms to address critical challenges in urban transportation systems, particularly in the domain of Autonomous Mobility-on-Demand (AMoD) and ride-hailing services. Dr. Zhu's research interests center around vehicle repositioning strategies, hierarchical control frameworks, and data-enabled predictive control methods for optimizing urban mobility. His work bridges transportation engineering with control systems theory, developing solutions that balance passenger demand with vehicle supply in dynamic urban environments. He has made significant contributions to coverage control algorithms that align vehicle distribution with demand patterns across city districts. Analysis of his publication trends shows a consistent focus on hierarchical control approaches for vehicle repositioning, with increasing sophistication from 2022 to 2025. His research has evolved from basic coverage control methods to integrated multi-layer frameworks that combine macroscopic traffic modeling with microscopic vehicle guidance, demonstrating both theoretical depth and practical applicability in real-world urban networks. Dr. Zhu's work has been supported by prestigious funding sources including the Swiss National Science Foundation and the European Union's Horizon 2020 program. His research demonstrates strong potential for practical implementation, with simulations conducted on real urban networks (particularly Shenzhen, China) showing significant improvements in key performance metrics like passenger waiting times and service rates. As an active researcher at EPFL, Dr. Zhu collaborates extensively with Professor Nikolaos Geroliminis and other researchers in the urban transportation field. His work contributes to the development of more efficient, sustainable urban transportation systems that benefit customers, service providers, and the environment through optimized fleet operations in mobility-on-demand services.

• Medical Robotics
• Magnetic Actuation Systems
• Soft Robotics
• +۳ مورد دیگر

Salvador Pane is a Professor at ETH Zurich's Department of Mechanical and Process Engineering within the Institute of Robotics and Intelligent Systems. His research focuses on developing advanced medical robotics systems, particularly magnetic navigation technologies for minimally invasive procedures. His research expertise spans Medical Robotics , Magnetic Actuation Systems , and Shape Memory Polymers , with emphasis on targeted drug delivery, catheter navigation, and variable stiffness mechanisms. Key innovations include electromagnetically guided microcatheters, human-scale clinical navigation systems, and programmable magnetic cilia for fluid control. His publication portfolio demonstrates strong trends in translational medical robotics with 8 high-impact publications between 2020-2024 in journals including Advanced Science , Nature Communications , and IEEE Transactions on Robotics . Work frequently addresses clinical implementation challenges in electromagnetic navigation and biomaterial integration. Pane leads collaborative research with significant clinical relevance, evidenced by news coverage of multiple publications. His team has developed clinically ready systems for magnetic particle injection and human-scale navigation, with research picked up by multiple news outlets and demonstrating strong Mendeley readership. Current work centers on the Robotic Materials Lab at ETH Zurich, focusing on electromagnetic navigation systems, variable stiffness catheters, and magnetic swarm control. The lab maintains strong industry and clinical partnerships for translating robotic technologies into medical practice.

Melanie Mortenمشاهده پروفایل

پژوهشگر

• Development Economics
• Spatial Economics
• Migration
• +۵ مورد دیگر

Melanie Morten is a Research Associate at Stanford University's Department of Economics within the School of Humanities and Sciences. Her work bridges development economics and spatial economics, focusing on migration, risk sharing, labor markets, and trade dynamics in low- and middle-income countries. Current Position: Research Associate, Stanford University Research Domains: Development Economics, Spatial Economics, Migration Collaborative Projects: Network-based hiring, border wall impacts, seasonal migration subsidies in Bangladesh Her research explores how spatial frictions like migration costs and infrastructure affect economic outcomes, including productivity, trade, and risk sharing. She employs randomized controlled trials, structural models, and field experiments to analyze migration's role in informal insurance, labor market integration, and urban development. Recent work examines gentrification's inequality effects, transportation's influence on migration patterns, and network hiring's dual impact on firms in developing economies. The evolving focus spans from localized labor dynamics to global migration policy implications. Morten has contributed to leading journals and working paper series, with media coverage from The Economist , The Washington Post , and VoxEU . She co-leads the Stanford Guestworker Migration Initiative, applying her findings to real-world policy challenges. Key Collaborators: Gharad Bryan, Ahmed Mushfiq Mobarak, Arun Chandrasekhar Policy Relevance: Labor mobility, regional inequality, development strategies Current Projects: Spatial economics frameworks for urbanizing economies