جست‌وجوی استاد و پژوهشگر

Pavel Trtikمشاهده پروفایل

پژوهشگر

• Neutron Imaging
• Materials Science
• Battery Technology
• +۷ مورد دیگر

Dr. Pavel Trtik is an Instrument Scientist at the Neutron Microscope Project under the Laboratory for Neutron Scattering and Imaging at the Paul Scherrer Institute (PSI), Switzerland. His work focuses on advanced neutron imaging techniques for materials science and energy applications. Research Areas: Neutron imaging, hydrogen transport in nuclear materials, battery diagnostics, cement hydration, and liquid metal flow dynamics. Key Technologies: Operando neutron radiography, phase-contrast imaging, high-resolution tomography, and synchrotron X-ray ptychography. Applications: Sodium-ion batteries, zirconium cladding analysis, liquid metal batteries, and construction material characterization. His recent publications highlight neutron imaging as a tool for studying energy devices, corrosion processes, and hydrogen distribution. Notable projects include reactor design optimization and 4D nanoimaging of cement hydration. Contact: pavel.trtik@psi.ch

Daniel Gollerمشاهده پروفایل

مدرس

• Economics of Education
• Labor Economics
• Causal Machine Learning
• +۴ مورد دیگر

Dr. Daniel Goller is a PostDoc and Lecturer at the University of Bern's Department of Economics, affiliated with the Research Center for the Economics of Education. He holds a Ph.D. in Economics and Finance from the University of St. Gallen (2021), with a specialization in Econometrics, following a Master’s in Quantitative Economics from the University of Kiel (with an exchange at Stockholm University) and a Bachelor’s in Economics from the University of Mannheim. His research focuses on Economics of Education , School-to-Work Transition , and Causal Machine Learning , with additional interests in Labor Economics, Microeconometrics, and applying sports data to economic questions. His work bridges theoretical econometric methods with applied policy analysis, particularly in education and labor markets. His recent publications explore topics such as AI’s impact on occupational choices, gender differences in investment reactions, and the effects of apprenticeship search during the pandemic. He has contributed to journals like the European Economic Review , Annals of Operations Research , and Labour Economics , and his research has been featured in media like SRF Tagesschau and Der Bund . Goller also serves as a Senior Researcher at the Center for Research in Economics of Education and has collaborated extensively with institutions like the Swiss Institute for Empirical Economic Research. His work often involves causal inference techniques and machine learning applications, reflecting his commitment to advancing quantitative methods in social sciences.

• Biostatistics
• Genetics
• Bioinformatics
• +۳ مورد دیگر

Jingyi Jessica Li is a researcher and academic affiliated with the University of California, Los Angeles (UCLA), holding academic appointments in both the Department of Biostatistics and the Department of Statistics. Previously, she worked at the University of Southern California from 2013 to 2019. She earned a BSc in Mathematics from Tsinghua University (2003–2007) and a PhD in Statistics from UC Berkeley (2008–2013), under the mentorship of Peter J. Bickel and Haiyan Huang. Her research focuses on developing innovative statistical methodologies for analyzing high-throughput genomic data, particularly in single-cell RNA sequencing, spatial transcriptomics, and epigenetic studies. Key areas include contamination detection, data imputation, and robust statistical frameworks for genomic data analysis. She has contributed tools such as scDesign, scImpute, and scDEED to enhance experimental design and data quality in computational biology. Her work bridges statistical theory and biological applications, addressing challenges like double dipping in genomic studies and optimizing machine learning approaches for biomedical data. She was awarded the prestigious 2025 Guggenheim Fellowship for her contributions to data science. Dr. Li advises graduate students, including doctoral student Zahra S. Razaee, and collaborates on interdisciplinary projects at the intersection of statistics, genomics, and computational biology.

• Computational Imaging
• X-ray Physics
• Ptychography
• +۲ مورد دیگر

Manuel Guizar-Sicairos is Associate Professor of Physics at EPFL's School of Basic Sciences and heads the Computational X-ray Imaging group at PSI. His research develops advanced computational imaging methods for synchrotron X-ray applications including ptychography, nanotomography, and phase retrieval techniques. Honors include multiple innovation awards, SPIE/OSA fellowships, and the ICO Prize. Research publications demonstrate consistent focus on advancing nanoscale imaging capabilities with applications spanning integrated circuits, biological tissues, and materials science. As confidential advisor for Respect@PSI, he supports diversity in research environments. Laboratory develops novel reconstruction strategies for industrial and scientific applications.

• Nanoparticle Synthesis
• Ceramic Materials
• Catalysis
• +۲ مورد دیگر

Andrea Testino is a Senior Scientist at Paul Scherrer Institute's Laboratory for Chemical Processes and Materials. His research develops continuous synthesis methods for functional nanomaterials with applications in catalysis, batteries, and environmental technologies. Recent work focuses on sulfur capture materials for supercritical water systems and low-molecular-mass resists for nanoscale lithography. His group employs segmented flow tubular reactors for scalable nanomaterial production.

Man Guoمشاهده پروفایل

پژوهشگر

• Catalysis
• Sustainable Chemistry
• Chemical Reaction Mechanisms
• +۵ مورد دیگر

Man Guo is a Researcher at the Laboratory for Catalysis and Sustainable Chemistry within the Paul Scherrer Institute's Center for Energy and Environmental Sciences in Villigen, Switzerland. His work focuses on catalytic reaction mechanisms, surface chemistry, and sustainable chemical processes. Email: man.guo@psi.ch Research interests include Catalysis , Chemical Reaction Mechanisms , Surface Chemistry , and CO2 Conversion , with a focus on understanding active sites and oxygen species in heterogeneous catalysis. His recent publications analyze ethylene epoxidation, CO2 hydrogenation, and oxidative dehydrogenation reactions using in situ/operando spectroscopy and microscopy techniques. Key trends in his publications (2016–2025): Elucidating reaction intermediates and oxygen species in catalytic oxidation processes Advancing operando methods (XPS, electron microscopy) for real-time surface analysis Optimizing Ni-based catalysts for CO2 conversion and selectivity control Exploring molecular design principles in organic dye synthesis (2016) Contact: man.guo@psi.ch

• Geotechnical Engineering
• Tunnel Engineering
• Soil-Structure Interaction
• +۳ مورد دیگر

Athanasios Agalianos is Lecturer in Geotechnical Engineering at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. His research focuses on geotechnical earthquake engineering, particularly fault rupture propagation through soil and interactions with infrastructure. Investigations combine centrifuge modeling, laboratory testing, and numerical simulations to analyze soil-structure systems subjected to seismic hazards. Current projects examine tunnel stability in clay formations, foundation responses to fault displacement, and development of geotechnical databases. He contributes to course instruction including 'Design and Construction in Geotechnical Engineering' and develops experimental methodologies for assessing infrastructure vulnerability to tectonic hazards.

Yushu Anمشاهده پروفایل

مدرس

• Rail Maintenance
• Extended Reality
• Digital Twins
• +۲ مورد دیگر

Yushu An is Lecturer at ETH Zurich's Institute of Construction & Infrastructure Management. Researches optimization of rail maintenance processes using extended reality and digital twin technologies. Work develops hybrid programming methods for robotic systems and knowledge-based engineering approaches for manufacturing. Combines virtual simulation with physical systems to improve maintenance efficiency and system design. Contributes to robotic welding automation and generative design of production systems. Background includes mechatronic engineering with expertise in manufacturing system architecture and configuration design. Collaborates on industrial applications of digital twins in infrastructure management.

Kyriakos Alexandros Chondrogiannisمشاهده پروفایل

پژوهشگر

• Structural Engineering
• Metamaterials
• Vibration Attenuation
• +۳ مورد دیگر

Dr. Kyriakos Alexandros Chondrogiannis is a Researcher affiliated with ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. He holds a PhD from ETH Zurich (2024) focusing on seismic protection using nonlinear mechanisms and metamaterials, preceded by a diploma in Structural Engineering from the National Technical University of Athens (2019). He received the ETH Pioneer Fellowship in 2024 to commercialize technologies from his doctoral research. Education: PhD, ETH Zurich (2024): Research on seismic protection with nonlinear metamaterials Diploma in Civil Engineering, NTUA (2019): Specialization in structural engineering of wind turbine towers Research Interests: His work centers on nonlinear mechanical systems for vibration attenuation, including metamaterial design, geometric nonlinearities, and impact dynamics. He explores applications in structural health monitoring, seismic protection, and energy dissipation through experimental and computational methods. Key Contributions: His research bridges theoretical concepts like negative stiffness and locally resonant metamaterials with practical applications in vibration control. Experimental validations and numerical analyses form the core of his methodologies. Awards: ETH Pioneer Fellowship (2024): Supports technology commercialization of his PhD-developed vibration mitigation systems Labs/Teams: He is part of the Structural Mechanics and Monitoring group at ETH Zurich, focusing on advanced structural dynamics and metamaterial innovation.

• Structural Engineering
• Timber Engineering
• Civil Engineering
• +۳ مورد دیگر

Gerhard Fink serves as a Lecturer at the Institute of Structural Engineering (IBK) within the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. His research focuses on timber structural systems, with a particular emphasis on glued laminated timber (GLT) beams and connections. Key areas include material variability, failure behavior analysis, and probabilistic design methodologies. Expertise: Structural reliability, timber mechanics, failure analysis, and engineering design. Key Projects: Large-scale bending tests on GLT beams, quasi-brittle fracture studies, and safety format assessments for timber connections. Publications emphasize experimental validation of structural models and probabilistic approaches to enhance timber engineering standards. Collaborates closely with institutions like Aalto University and the International Network on Timber Engineering Research (INTER).

• Agent-based modeling
• Travel behavior
• Transport planning
• +۳ مورد دیگر

Grace Orowo Kagho is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. She specializes in agent-based modeling, travel behavior, and transport planning, with a focus on mobility-on-demand systems and urban mobility sustainability. Current Affiliation: ETH Zürich, Department of Civil, Environmental and Geomatic Engineering Research Interests: Agent-based modeling, travel behavior, transport planning, digital twin technology, and equity in mobility-on-demand systems Her recent work examines weekend travel behavior, equity metrics in MoD simulations, and policy frameworks for integrating on-demand services with public transit. She employs computational methods to study demand sampling, fleet optimization, and behavioral feedback in transport models. Key projects include NFP 78: Agent-based pandemic travel modeling and UrbanEcho: Digital twins in low-income urban planning . Her publications emphasize scalable simulation frameworks, sensitivity analysis, and real-world applicability of MoD models.

David Kammerمشاهده پروفایل

استادیار

• Mechanical Failure Prediction
• Material Damage Mechanics
• Fracture Mechanics
• +۷ مورد دیگر

Prof. David Kammer is an Assistant Professor (Tenure-Track) at ETH Zurich's Institute for Building Materials (IfB), part of the Department of Civil, Environmental and Geomatic Engineering (DBAUG). His research focuses on understanding mechanical failure across scales, integrating computational models, experiments, and theoretical frameworks. Key areas include material fracture, earthquake mechanics, 3D-printed materials, and biological systems. Education: B.Sc. (2008) and M.Sc. (2010) in Civil Engineering from EPFL, PhD (2014) in Mechanics from EPFL. Postdoctoral roles at Bern University of Applied Sciences and Hebrew University of Jerusalem. Joined Cornell University (2016) before moving to ETH Zurich (2019). Awarded SNSF Starting Grant (2022) for meta-interfaces research. Research interests span nano-to-macro mechanical failure, including fracture mechanics of soft/3D-printed materials, earthquake nucleation dynamics, and architected material optimization. His work bridges material behavior with catastrophic system-level failure. Awards and grants include the SNSF Starting Grant. Active in teaching with courses on computational material mechanics and civil engineering materials. Labs/Teams: Leads research groups in computational mechanics and interdisciplinary failure analysis at ETH Zurich.

• Transportation Engineering
• Optimal Control
• Energy Efficiency
• +۳ مورد دیگر

Dr. Dimitris Kouzoupis is affiliated with the Professorship for Transport Systems at ETH Zürich's Institute of Transport Planning and Systems (IVT) , part of the Department of Civil, Environmental and Geomatic Engineering (D-BAUG). His research focuses on energy-efficient train control , real-time optimization , and computational methods for transport systems. He contributes to open-source tools like TTOBench and acados, emphasizing algorithmic efficiency and practical implementation. Key research areas include optimal control strategies for rail systems, embedded optimization frameworks, and decentralized optimization techniques. His work bridges theoretical advancements with real-world applications in transportation automation and energy management. Publications highlight innovations in trajectory optimization, nonlinear model predictive control, and algorithm design for embedded systems. Collaborations involve interdisciplinary teams addressing challenges in railway operations and computational efficiency. No scientific awards are explicitly mentioned in the provided texts. His role in advising students or leading grants is not detailed, though his contributions to software frameworks like TTOBench and acados underscore collaborative and applied research efforts.

• Transportation Modeling
• Spatial Analysis
• Network Design
• +۲ مورد دیگر

Basil Vitins is a Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, specializing in computational transportation modeling and spatial analysis. His research bridges civil engineering, urban planning, and computer science to develop advanced simulation frameworks for transportation systems. Research interests focus on agent-based modeling, network optimization, and land-use transport interactions, particularly examining how spatial constraints impact urban mobility patterns. His work frequently incorporates shape grammars for infrastructure design and evaluates transportation economics in complex urban environments. Recent publications demonstrate consistent focus on spatial modeling innovations, with articles exploring destination choice algorithms, network grammar applications, and adaptive design methodologies. Key themes include simulation reliability, spatial data extraction techniques, and integrated modeling frameworks for urban systems. Academic service includes departmental contributions to curriculum development in geomatic engineering and transportation systems. No advising relationships or scientific awards are documented in available materials. Laboratory affiliations include the Institute for Transport Planning and Systems at ETH Zurich, where he contributes to developing next-generation urban mobility simulations.

• Geospatial Analysis
• Cartography
• Geoinformatics
• +۴ مورد دیگر

Tianyi Xiao is a Lecturer at ETH Zürich's Department of Cartography and Geoinformatics. Their research focuses on geospatial analysis, augmented reality applications, and spatial modeling with particular emphasis on terrain sketch mapping, public health interventions, and urban mobility patterns. Current projects include AI-driven real-time terrain modeling in AR environments and collective navigation systems for wilderness search and rescue. Xiao's work bridges computational methods with geospatial challenges, addressing both technical and societal aspects of spatial data representation. Professional background includes advanced geoinformatics research with a focus on integrating spatial cognition principles into interactive mapping tools. The 2025 publications highlight innovations in collaborative 3D sketch mapping and spatial decision-making systems. Earlier work (2021-2022) explored physical distancing models during pandemics and adolescent health interventions through agent-based simulations. Contact: xiaoti@ethz.ch , located at HIL G 28.1 Stefano-Franscini-Platz 5, Zurich.