Structured Learning Professors and Supervisors in Switzerland | ApplySharif

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جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۷۲۱-۷۳۵ از ۹۰۷ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Karl Schmeddersمشاهده پروفایل

استاد

University of ZurichSwitzerland

Karl Schmedders is a Professor of Finance at IMD Business School, specializing in sustainability and climate change economics. He has held prior roles as Professor at the University of Zurich and Associate Professor at Northwestern University's Kellogg School of Management. His research bridges computational finance with environmental challenges, focusing on transition risks, carbon pricing, and ESG equity impacts. Education: PhD (Operations Research), Stanford University MS (Operations Research), Stanford University Research Interests: Schmedders explores the intersection of finance and sustainability. He emphasizes the 'just transition' to ensure equitable climate action, particularly addressing social and governance (S and G in ESG) dimensions. His work applies numerical methods to complex economic models, analyzing asset pricing dynamics and replicating portfolios in insurance sectors. Awards: Multiple teaching awards including Kellogg-HKUST Best Faculty (2017) Walter J. Gores Award (Stanford, 1996) Professional Activities: Directs IMD's Strategic Finance program and advises global firms like ABB and Julius Bär. Serves on boards of Swiss firms LPX Group and SYLVA AG. Active in executive education and venture capital consulting. Labs & Teams: Leads IMD's online certification in structured investment products with Leonteq and contributes to executive education programs (EMBA, AMC).

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Georg von Arxمشاهده پروفایل

پژوهشگر

University of BernSwitzerland

Georg von Arx is a Group Leader at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) in Birmensdorf, Switzerland. His research focuses on tree growth dynamics, xylem anatomy, and their responses to environmental changes. He leads the Dendrosciences Research Group, investigating anatomical properties of woody tissues and their links to tree physiology, particularly in relation to water and carbon relations. He is also affiliated with ETH Zurich, where he teaches courses on dendroecology and wood structure. Key research interests include dendroecology (tree growth analysis over centuries), dendroclimatology (reconstructing past climates), and plant community responses to climate variability. He develops tools like ROXAS for quantifying xylem cell features, enabling high-throughput anatomical data collection. His work bridges ecology, climatology, and applied forest science, addressing topics such as climate sensitivity of European beech, impacts of extreme droughts, and isotopic tracing of water sources in trees. Notable projects include the ROXAS-X software upgrade, continental-scale climate studies on beech provenances, and assessments of tree-water relations through laser-ablation isotope analysis. He collaborates widely, with contributions to initiatives like GenTree (forest genetic resources) and Caldera (volcanic climate impacts). Education includes a Habilitation (2021) from the University of Bern and a PhD (2005) from ETH Zurich. He has held postdoctoral and research roles since 2006, including at the University of Arizona (2007–2008). Teaching roles at ETH Zurich include courses on wood anatomy and climate sciences.

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Jochen Kindlerمشاهده پروفایل

دانشیار

University of BernSwitzerland

Psychiatry
Psychology
Neuroscience
+۴ مورد دیگر

Prof. Jochen Kindler is an Associate Professor and Group Leader at the University of Bern, serving as Head Physician at the Outpatient Department of the University Hospital of Child and Adolescent Psychiatry and Psychotherapy. He also co-leads the Early Detection and Intervention Centre (FETZ) for mental health crises and is a Senior Lecturer at the University of Bern. His primary research focuses on pathophysiological mechanisms of psychosis, integrating functional MRI, transcranial magnetic stimulation, and biomarker analysis to refine early detection and therapeutic interventions. His work spans clinical high-risk populations, schizophrenia, and neurodevelopmental disorders. Kindler's research emphasizes translational approaches, combining neuroimaging, immunology, and behavioral studies. Key topics include psychosis prodromes, neuroinflammation, and the role of glutamate in internet gaming disorder. He has pioneered studies on EEG microstates as psychosis biomarkers and led evaluations of FETZ’s 8-year impact on early intervention. His contributions also include developing therapeutic protocols using TMS and pharmacological agents like canakinumab. Prof. Kindler collaborates internationally through initiatives like ENIGMA and has presented at major conferences (e.g., IEPA, DGKJP). His work bridges basic science and clinical practice, aiming to improve prevention and treatment outcomes for youth mental health crises.

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Ahmed Abdulkadirمشاهده پروفایل

پژوهشگر

University of BernSwitzerland

Dr. Ahmed Abdulkadir is a Researcher at the University Clinics UPD, part of the University of Bern, specializing in neuroimaging and machine learning applications in medical diagnostics. He holds a PhD in Vision Science from the University of Freiburg and has extensive experience in roles such as Senior Researcher at Lausanne University Hospital and Visiting Researcher at the University of Pennsylvania. His work focuses on automated MRI analysis for Alzheimer’s disease, schizophrenia, and other neurological disorders, leveraging deep learning techniques to improve diagnostic accuracy and clinical workflows. He has contributed to advancements in volumetric segmentation (e.g., 3D U-Net), brain aging studies, and cross-disciplinary applications of AI in cardiology and thyroid cancer diagnostics. His research emphasizes bridging clinical needs with computational solutions, including tools like Atri-U for cardiovascular imaging. Education: PhD in Vision Lab, University of Freiburg (2012-2016) MSc in Life Science, EPFL Lausanne (2010-2012) BSc in Life Science, EPFL Lausanne (2007-2010) BSc in Systems Engineering, Fachhochschule NTB Buchs SG (2001-2004) Research Interests: Machine learning-driven neuroimaging analysis Automated diagnosis of neurodegenerative diseases Cross-modal data harmonization Deep learning applications in medical imaging Brain aging patterns and genetic correlates Articles Highlight: His work spans Alzheimer’s classification via structural MRI, schizophrenia-related brain network studies, and deep learning models for microbleed detection. Recent focus includes AI tools for thyroid cancer cytology and cardiovascular MRI. Grants/Teams: Collaborates with institutions globally, including Zurich University of Applied Sciences (AI Center), and contributes to large-scale studies like the iSTAGING project on brain aging patterns. No explicit awards listed, but contributions to high-impact clinical tools reflect recognition. Labs/Teams: Active in interdisciplinary teams at University Clinics UPD, Lausanne University Hospital, and the Vision Lab, focusing on translational AI applications in healthcare.

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Florian Brueckمشاهده پروفایل

پژوهشگر

University of GenevaSwitzerland

Florian Brueck is a Postdoctoral Researcher at the Research Center for Statistics at the University of Geneva, under Prof. Sebastian Engelke. He earned his PhD in Mathematics (Dr. rer. nat.) from the Technical University of Munich (TUM) in 2023, with distinction, under Prof. Matthias Scherer. His research focuses on statistical model comparison, Bayesian non-parametric survival analysis, Lévy processes, extreme value theory, and the integration of machine learning into classical statistics. Education: PhD in Mathematics, TUM (2023) MSc in Financial Mathematics and Actuarial Sciences, TUM (2019) BSc in Business Mathematics, Ludwig Maximilians University Munich (2017) Research Interests: Statistical model selection via Maximum Mean Discrepancy (MMD) Exchangeability and non-parametric Bayesian methods in survival analysis Inference for Lévy and stable processes Extreme value theory applications in risk modeling Machine learning techniques for statistical inference Key Contributions: Developed distribution-free MMD tests for model selection with estimated parameters Advanced infinitely divisible priors for multivariate survival functions Applied generative neural networks to characteristic function estimation Awards & Recognition: None explicitly listed. Advising & Grants: Supervised 5 Master’s theses on topics including MMD-based model selection and clustering-based portfolio optimization Co-led industry project with WWK Versicherungen on risk assessment tools Labs/Teams: Research Center for Statistics at University of Geneva.

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Yves Flückigerمشاهده پروفایل

عضو هیئت علمی

University of GenevaSwitzerland

Yves Flückiger is an Honorary Professor at the University of Geneva, where he earned his Ph.D. His research focuses on labor markets, unemployment policies, social protection, and the role of universities in resilient societies. He has extensively analyzed occupational segregation, informal employment, and the impact of globalization on labor dynamics. His work spans over three decades, with contributions to topics such as job search assistance efficacy, microfinance efficiency, and multidimensional poverty measurement. Key areas of expertise include public policy evaluation, socioeconomic disparities, and institutional strategies for higher education. Education: Ph.D., University of Geneva His research interests emphasize the interplay between economic structures and social outcomes. Recent studies highlight universities' evolving roles in addressing societal challenges and fostering resilience. Earlier work explored labor market segmentation, wage disparities, and the effects of European integration on Swiss employment. He has advised on policies related to decent work, informal economies, and educational reforms. Flückiger’s publications address both theoretical frameworks and applied analyses, often combining quantitative methods with case studies. His work on unemployment measurement and regional labor market disparities has influenced policy debates in Switzerland and beyond. He has collaborated on initiatives to improve efficiency in employment offices and microfinance institutions.

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Christophe Dessimozمشاهده پروفایل

استاد

University of LausanneSwitzerland

Christophe Dessimoz is a Professor at the University of Lausanne's Department of Ecology and Evolution, affiliated with the Swiss Institute of Bioinformatics (SIB). He holds a joint appointment with University College London (UCL), where part of his lab remains active. His academic journey includes a Master's in Biology (ETH Zurich, 2003) and a PhD in Computer Science (ETH Zurich, 2009). He has held roles at ETH Zurich, EMBL-EBI, and UCL before joining the Center for Integrative Genomics (CIG) as a Swiss National Science Foundation (SNSF) Professor in 2015. His research bridges computational methods and evolutionary biology, focusing on gene and genome evolution, orthology inference, and phylogenetic analysis. Key projects include the Quest for Orthologs consortium and the OMA database. He has developed tools like OMA Standalone, ALF, and Matreex, which aid in genomic analysis and visualization. His work has been recognized with awards such as the SIB Young Bioinformatician Award (2012), Google Faculty Award (2015), and EMBO Young Investigator (2016) status. His lab collaborates across disciplines, addressing questions like the conservation of membrane proteins and the evolutionary origins of eukaryotes. Ongoing projects explore AI ethics in life sciences and federated data querying for biomedical research. Publications highlight advancements in orthology benchmarking, phylogenetic tree inference, and applications of genomic data to medicine and evolutionary biology. His team includes PhD students, postdocs, and visiting researchers, fostering a collaborative environment for computational and experimental work.

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Oliver Bunkمشاهده پروفایل

پژوهشگر

Paul Scherrer InstituteSwitzerland

Dr. Oliver Bunk heads the Laboratory for Macromolecules and Bioimaging (LSB) at the Paul Scherrer Institute and serves as Deputy Head of the Center for Photon Science. His research focuses on cross-disciplinary imaging techniques spanning condensed matter physics, biomedical science, and materials characterization. Education includes a doctorate in physics from the University of Hamburg, with prior industrial and postdoctoral experience at Risø National Laboratory. Research integrates X-ray methods with computational approaches: Nanoscale 3D imaging via ptychography and tomography Structural analysis of biological tissues and biomaterials Detector development for synchrotron applications Phase-contrast techniques for soft matter characterization Recent publications emphasize cancer tissue analysis, collagen nanostructures, synchrotron instrumentation, and radiation therapy characterization. Collaborative works frequently address multiscale material properties using advanced X-ray methods. Dr. Bunk serves on scientific advisory committees for international facilities including ESRF, PETRA IV, and NSRRC. He actively contributes to PhD supervision and academic committees at PSI.

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Gabriel Aeppliمشاهده پروفایل

استاد

Paul Scherrer InstituteSwitzerland

Prof. Dr. Gabriel Aeppli is Head of the Photon Science Division at Paul Scherrer Institut and holds joint professorships in Physics at ETH Zürich and EPF Lausanne. His distinguished career includes leadership roles at NEC Research Institute and co-founding the London Centre for Nanotechnology. Aeppli's honors include the Oliver Buckley Prize, Néel Medal, and memberships in the National Academy of Sciences, American Academy of Arts & Sciences, and Royal Society. His research applies nanotechnology and photon science to biomedicine and quantum information processing, developing optical/microwave diagnostic tools and quantum state manipulation techniques. Current projects include drug-target binding assays and quantum computing using silicon-based systems and THz radiation from free-electron lasers. Research publications demonstrate expertise in quantum materials, particle physics, advanced imaging, and computational methods, with consistent focus on experimental and theoretical aspects of quantum phenomena. Scientific Awards: Oliver Buckley Prize Néel Medal National Academy of Sciences Membership American Academy of Arts & Sciences Membership Royal Society Fellowship

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Spencer Edward Blivenمشاهده پروفایل

پژوهشگر

Paul Scherrer InstituteSwitzerland

Dr. Spencer Bliven is a Researcher at the Paul Scherrer Institute's Laboratory for Simulation and Modelling. His research focuses on computational approaches to structural biology and bioinformatics, particularly protein structure analysis and data management for scientific infrastructures. Research domains include: Protein structure prediction and validation Time-resolved serial femtosecond crystallography Evolutionary analysis of protein interfaces Scientific data management frameworks Publication analysis reveals a strong focus on developing computational tools for structural biology, with recent work expanding into XFEL data analysis and research data infrastructure. His articles consistently address challenges in protein structure determination, evolutionary conservation, and large-scale data management.

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Rainer Dähnمشاهده پروفایل

پژوهشگر

Paul Scherrer InstituteSwitzerland

Rainer Dähn is a Scientist and Project Leader at the Laboratory for Waste Management, part of the Nuclear Energy and Safety Research Division at the Paul Scherrer Institute (PSI) in Switzerland since 2001. His research focuses on metal ion uptake mechanisms in clay and cementitious materials using advanced X-ray techniques, including synchrotron-based micro-spectroscopy and scanning transmission X-ray microscopy (STXM). He holds a Diplom-Physiker (1993) from the University of Hamburg and a Ph.D. (2001) from ETH Zurich, where his doctoral work explored Ni(II) and Th(IV) sorption mechanisms on clay surfaces. His career includes visiting roles at Lawrence Berkeley National Laboratory (2006) and beamline scientist positions at the European Synchrotron Facility (2000s). Key research interests include radionuclide retention in waste repository materials, cement chemistry, and the application of synchrotron-based methods to study heterogeneous interfaces. Over 100 peer-reviewed publications demonstrate expertise in actinide binding mechanisms, heavy metal sorption, and the structural characterization of cementitious phases like C-S-H. His work bridges environmental geochemistry and nuclear waste management, addressing long-term safety concerns in waste disposal systems. Publications highlight contributions to understanding Ni, U, and Th behavior in cement and clays, as well as interdisciplinary studies on alkali-silica reactions in concrete. Collaborations with institutions like KIT-INE and participation in EU projects (e.g., EURAD) reflect his role in advancing nuclear waste management technologies. Despite no listed awards, his sustained research impact is evident through ongoing leadership in PSI’s XAS program and contributions to international standards for waste repository analysis.

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Athanasios Mokosمشاهده پروفایل

پژوهشگر

Paul Scherrer InstituteSwitzerland

Dr. Athanasios Mokos is a researcher at the Paul Scherrer Institute (PSI) in Switzerland, specializing in computational physics and fluid dynamics. His work bridges nuclear engineering, geochemistry, and environmental engineering through advanced numerical simulations. Expertise in SPH (Smoothed Particle Hydrodynamics) Focus on reactive transport and multiphase flow Key applications in nuclear reactor safety and subsurface processes Research spans pore-scale modeling of cement-clay interactions, gas transport in geological media, and GPU-accelerated simulations for multiphysics problems. His publications emphasize machine learning integration, environmental remediation, and coastal/coastal structure hydrodynamics. Current trends in his work include Digital Twin frameworks for carbonate precipitation, CRUD analysis in nuclear fuel assemblies, and validation of surface wetting models via lattice Boltzmann methods. His position at PSI involves high-performance computing and multiphase flow simulations, with contributions to desalination membrane design and sediment grain dynamics.

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Ismail Albayrakمشاهده پروفایل

مدرس

ETH ZurichSwitzerland

Dr. Ismail Albayrak is a Lecturer in Hydraulic Engineering at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering. His research focuses on eco-hydraulics, etho-hydraulics, and sediment transport processes. He leads projects on fish migration barriers, hydro-abrasion mitigation in hydraulic structures, and innovative fish guidance systems. Key research areas include: Hydro-abrasion on turbines and bypass tunnels Sediment transport dynamics in supercritical flows Fish behavior analysis in hydropower environments Design of sustainable sediment bypass systems Fluid mechanics in open channels Recent work emphasizes field monitoring of sediment bypass tunnels and development of f-curved bar rack systems for fish protection. He collaborates with industry on hydropower infrastructure optimization and has pioneered 3D fish tracking technologies using computer vision. His lab's activities involve advanced instrumentation (PIV, ADV, acoustic sensors) and numerical modeling (CFD). Current projects address climate change impacts on glacierized catchments and sustainable hydropower solutions.

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Vasileios Ntertimanisمشاهده پروفایل

مدرس

ETH ZurichSwitzerland

Dr. Vasileios Ntertimanis is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering, ETH Zurich. His research focuses on structural mechanics, monitoring technologies, and uncertainty quantification in engineering systems. Research interests include: Development of computational methods for structural analysis and optimization Vibration control in lightweight structures Machine learning applications in structural health monitoring Railway infrastructure diagnostics Seismic protection systems His recent publications demonstrate extensive work on integrating monitoring data for infrastructure management, optimizing vibration mitigation devices, and advancing uncertainty quantification methods. Research consistently addresses practical applications in transportation infrastructure and seismic engineering. He leads research at the Chair of Structural Mechanics and Monitoring and teaches courses including: Structural Identification and Health Monitoring Uncertainty Quantification and Data Analysis Structural Dynamics

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Vera Balmerمشاهده پروفایل

پژوهشگر

ETH ZurichSwitzerland

Vera Balmer is a Research Assistant and Doctoral Student at the Institute of Structural Engineering, ETH Zurich, specializing in Concrete Structures and Bridge Design. She holds an MSc in Civil Engineering from ETH Zurich with a focus on Structural Engineering and Geotechnical Engineering, including an exchange semester at KTH Royal Institute of Technology in Stockholm. Her research interests revolve around innovative structural design methodologies, including AI-driven generative design, sustainability metrics integration, and advanced analysis of reinforced concrete components. She explores topics such as pedestrian bridge optimization using conditional variational autoencoders, nonlinear analysis of concrete beams via physics-informed neural networks, and circular economy principles in bridge design. Key recognitions include the Culmann Award (2022). Her work bridges computational innovation with traditional structural engineering, addressing both technical and environmental challenges in civil infrastructure. She has contributed to industry through internships at Bänziger Partner (bridge engineering) and Basler & Hofmann (geotechnical engineering).

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