جست‌وجوی استاد و پژوهشگر

• Quantum Computing
• Nanotechnology
• Photon Science
• +۳ مورد دیگر

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

Marco Stampanoniمشاهده پروفایل

استاد

• X-ray Imaging
• Tomographic Microscopy
• Phase Contrast Imaging
• +۳ مورد دیگر

Prof. Marco Stampanoni is a Full Professor at ETH Zurich's Department of Information Technology and Electrical Engineering, affiliated with the Institute of Biomedical Engineering where he leads the Division for X-ray Imaging and Microscopy. Simultaneously, he heads the X-ray Tomography Group at the Paul Scherrer Institut. His research focuses on developing novel X-ray instruments for non-invasive investigations across scales, from cellular to human applications, with emphasis on synchrotron-based phase contrast imaging and clinical radiology. His work encompasses phase contrast X-ray microscopy, real-time tomography, and nanoscale imaging. Key projects include translating synchrotron technologies to conventional X-ray sources and advancing non-destructive testing methodologies. Honors include the Dalle Molle Foundation Award for pioneering X-ray phase contrast mammography and ETH Silver Medal for his doctoral thesis. He contributes to international advisory committees for synchrotron facilities worldwide and co-founded GratXray AG.

Sergey Litvinovمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Biomedical Engineering
• Industrial Applications
• +۶ مورد دیگر

Sergey Litvinov is a Researcher at ETH Zürich, affiliated with the Department of Structural Mechanics and Monitoring within the College of Civil, Environmental and Geomatic Engineering. His work focuses on computational and statistical models for biomedical and industrial applications, leveraging tools like C++, PyTorch, and cloud computing. He contributes to hierarchical Bayesian analysis on big data and probabilistic programming, emphasizing data-driven methodologies. Current projects include the DCoMEX initiative (Data-Driven Computational Mechanics at Exascale), aiming to advance large-scale computational frameworks for structural mechanics and monitoring. His research interests span computational mechanics, fluid dynamics, and machine learning applications, with a strong emphasis on hybrid numerical methods and high-performance computing for multiphase systems. He has no listed scientific awards or advisees. His contributions are centered on software development (e.g., Aphros and Mirheo ) for multiphase flow simulations and novel optimization techniques for inverse problems, particularly in biomedical and engineering contexts. Recent articles highlight his work on discrete loss optimization, reinforcement learning for flow control, and data-driven methods for tumor growth modeling and drug delivery systems. He is part of interdisciplinary teams addressing challenges in microfluidics, turbulence modeling, and biomedical applications, with a focus on scalable solutions for complex systems. His projects often involve collaboration with industrial and academic partners on computational models for real-world applications.

Nicole Wenderothمشاهده پروفایل

استاد

• Neuroscience
• Motor Control
• Neurorehabilitation
• +۵ مورد دیگر

Prof. Nicole Wenderoth is a Full Professor in the Department of Health Sciences and Technology at ETH Zürich. Her research focuses on understanding the neural basis of motor functions, particularly in neurological patients and those with developmental disorders like autism. She employs advanced imaging (fMRI) and stimulation techniques (TMS, tDCS) to study complex movement production, skill acquisition, and rehabilitation strategies. Education: M.Sc. in Kinesiology (German Sport University, 1996), Ph.D. in Kinesiology (2000). Postdoc at KU Leuven (2001–2006), then Assistant/Associate Professor before becoming Full Professor at ETH (2012). Key Research Areas: Motor learning, neurorehabilitation, stroke/Parkinson's recovery, autism neurobiology Methodologies: fMRI, TMS, transcranial brain stimulation, animal models Recent work explores sleep modulation for motor performance, wearable neuroprosthetics, and cross-species fMRI for autism subtyping. Awards include the 2001 European College of Sport Science Young Investigators Award (Poster). Her lab investigates neural network dynamics, including locus coeruleus modulation and cortical arousal regulation via pupil biofeedback. Collaborations span clinical trials in stroke rehabilitation and neurotechnological interventions.

Philippe Müllhauptمشاهده پروفایل

مدرس

• Nonlinear Control
• Control Theory
• General Mechanics
• +۴ مورد دیگر

Philippe Müllhaupt is a Lecturer at EPFL, affiliated with multiple departments including the School of Engineering (STI), Department of Mechanical Engineering (SGM), and the Physics section (SB-SPH). He holds roles in teaching and research across disciplines such as nonlinear control, biomechanics, and robotics. His research focuses on control systems, musculoskeletal modeling, and dynamic systems analysis. Education: Ingénieur en Electricité, EPFL (1993) DEA en Automatique et Traitement du Signal, Paris-Sud (1994) Doctorat en Automatique, EPFL (1999) Research Interests: Nonlinear control theory and applications Mechanical systems modeling (e.g., shoulder biomechanics) Robotics and dynamic systems control Mathematical methods in control systems Publications: Over 70 peer-reviewed articles in journals and conferences, focusing on control systems, biomechanical modeling, and robotic applications. Recent work includes musculoskeletal shoulder simulations and nonlinear control algorithms. Teaching: Linear system theory Nonlinear control Mechanical engineering fundamentals Collaborations: Active in interdisciplinary projects involving biomechanics, robotics, and engineering education. Supervised 6 PhD/MSc students.

Rolf Gruetterمشاهده پروفایل

استاد

• Magnetic Resonance Spectroscopy
• Neuroimaging
• Metabolic Modeling
• +۲ مورد دیگر

Rolf Gruetter is Full Professor at École polytechnique fédérale de Lausanne (EPFL), holding joint appointments in the Laboratory of Functional and Metabolic Imaging (School of Life Sciences) and the Teaching Conference (CCE). His research focuses on advanced biomedical imaging techniques including magnetic resonance spectroscopy and neuroimaging. He teaches courses on biomedical imaging fundamentals and neuroscience. Honors include the Young Investigator Award (1999), ESMRMB Fellowship (2011), and EPFL Teaching Award (2011). Editorial responsibilities span multiple neuroscience and imaging journals including Journal of Neuroscience Research and Frontiers in Neuroenergetics. Research leadership includes supervision of 30+ PhD students and postdoctoral researchers. Laboratory investigations center on brain energy metabolism, hypoglycemia neuroscience, and development of novel MR instrumentation and methodologies.

Maria Giulia Pretiمشاهده پروفایل

مدرس

• Neuroimaging
• Brain Connectivity
• Alzheimer's Disease
• +۳ مورد دیگر

Maria Giulia Preti is a Senior Scientist at MIPLAB, Research Staff Scientist at the CIBM Center for Biomedical Imaging (Switzerland), and a Lecturer (Maître-Assistante) at the University of Geneva. She holds a PhD in Bioengineering from Politecnico di Milano (2013) and completed postdoctoral research in Dimitri Van De Ville’s group at EPFL. Her work focuses on integrating neuroimaging techniques (fMRI, DTI, EEG, fNIRS) with graph signal processing to study brain function-structure relationships in health and disease. Key clinical applications include Alzheimer’s disease, epilepsy, multiple sclerosis, and stroke. She has pioneered methods like groupwise fMRI-guided tractography to study neurodegenerative pathologies. Education: PhD in Bioengineering (2013), Politecnico di Milano MSc in Biomedical Engineering (2009), Politecnico di Milano BSc in Biomedical Engineering (2007), Politecnico di Milano Research emphasizes multimodal neuroimaging integration and computational neuroscience. Notable achievements include developing connectome embedding techniques and demonstrating brain fingerprinting via spectral signatures. She received the Progetto Rocca fellowship (2011) supporting her work at MIT/Harvard Medical School. Ongoing projects investigate structure-function coupling dynamics, drowsiness markers, and DBS mechanisms in depression. Labs/Teams: MIP:Lab (part of the Van De Ville group at EPFL and University of Geneva collaborations).

• Microfluidics
• Mechanobiology
• Cell Biology
• +۳ مورد دیگر

LEE N is affiliated with ETH Zurich's Department of Mechanical and Process Engineering and the Department of Management, Technology and Economics. Their research focuses on interdisciplinary areas including microfluidics, mechanobiology, and materials science with applications in cell biology and environmental health. Key contributions involve developing novel diagnostic tools, studying nanoparticle impacts on biological systems, and advancing imaging techniques. Research interests prominently feature the intersection of engineering and biology, particularly in understanding cellular responses to mechanical stresses and biochemical signals. Notable work includes studies on yeast aging mechanisms, nanoplastic toxicity, and hydrogel-based tissue engineering platforms. Publications highlight innovations in microfluidic device fabrication, real-time cell monitoring systems, and computational frameworks for biological data analysis. Ongoing research explores applications in regenerative medicine, environmental toxicology, and precision diagnostics.

Habib Ammariمشاهده پروفایل

استاد

• Applied Mathematics
• Mathematical Physics
• Medical Imaging
• +۶ مورد دیگر

Habib Ammari is a Professor of Applied Mathematics at ETH Zurich, leading research in wave propagation, mathematical imaging, and metamaterials. He previously served as Director of Research at École Normale Supérieure in Paris. His academic journey includes a Bachelor's, Master's, and PhD from École Polytechnique (1992–1995), followed by a Habilitation from Université Pierre & Marie Curie (1998). Research Interests: Mathematics of subwavelength physics and metamaterials Bio-inspired imaging and neural natural intelligence Multiscale biomedical imaging and super-resolution techniques Publications: His work spans over 300 papers and 9 books, including seminal contributions to inverse problems, plasmonics, and imaging modalities. Recent research focuses on non-Hermitian skin effects, quantum integrable systems, and Anderson localization in subwavelength regimes. Awards and Fellowships: European Research Council Advanced Grant (2010) Kuwait Prize in Basic Sciences (2013) Khwarizmi International Award (2015) Fellowships: American Mathematical Society (2022), Academia Europaea (2021), European Academy of Sciences (2018) Advising: Supervised 40+ PhD students and 27 postdocs, many recipients of prestigious awards like the ETH Medal and ECCOMAS PhD Award. Labs and Collaborations: Active in international initiatives including CISM courses, NSF-CBMS conferences, and collaborations with institutions like Hong Kong Institute for Advanced Study and MSRI.

• Machine Learning
• Deep Learning
• Time Series Analysis
• +۳ مورد دیگر

Fabian Gröger is a Research Associate, Doctoral Student, and Lecturer at Lucerne University of Applied Sciences and Arts (HSLU), affiliated with the Lucerne School of Computer Science and Information Technology. He is a Scientific Collaborator at the Algorithmic Business (ABIZ) Research Lab and teaches in the CAS Machine Learning program. His roles include Data Scientist, Research Assistant, and Teaching Assistant in machine learning and artificial intelligence programs. Education: Ongoing PhD in Biomedical Engineering, University of Basel Master of Science in Data Science/ML, HSLU Bachelor of Science in Computer Science, HSLU His research focuses on Machine Learning , Deep Learning , Audio Data , and Self-Supervised Learning , with applications in digital dermatology, bioaerosol monitoring, and medical anomaly detection. His work emphasizes scalable foundation models, data quality audits, and reducing annotation needs in healthcare AI. Recent publications highlight contributions to hyperbolic space applications in medical AI, audio representation learning for hearables, and benchmarking strategies like CleanPatrick. His work spans conferences like MICCAI, NeurIPS, and ECCV. Awards: Outstanding Reviewer (JEADV, 2024) Best Lightning Talk (AI Medicine Symposium, 2024) Best Paper (MICCAI 2023) Best Master Thesis (HSLU, 2023) Gröger leads projects such as SelfClean for Audio and AI for All , and collaborates with industries like Prepress Media AG. He advises on algorithms for small-hotel revenue management and exhibits at events like the Museum Exposition on Food & AI. His lab affiliations include the ABIZ Research Lab and the Digital Dermatology group, where he explores ethical AI, clinical decision support systems, and data-centric healthcare solutions.

• Computer Vision
• Machine Learning
• Deep Learning
• +۲ مورد دیگر

Thomas Koller is a Professor and Head of the Master's Program in Engineering at Lucerne University of Applied Sciences and Arts, affiliated with the School of Computer Science and Information Technology. His research focuses on computer vision, machine learning, and medical image analysis applications. His primary research domains include: Computer Vision and Image Processing Deep Learning and Reinforcement Learning Medical Imaging and Diagnostic Applications His publications demonstrate strong focus on applying computer vision and deep learning techniques to medical challenges, particularly in dermatology and vascular imaging. Recent work shows increasing emphasis on real-world healthcare applications and interactive systems. Scientific Awards: Best Poster Video Award (2022) aha! Award des Allergiezentrums Schweiz (2017)

• Laser Technology
• Ultrafast Lasers
• Optical Coherence Tomography
• +۳ مورد دیگر

Prof. Dr. Bojan Resan is a Lecturer in Laser Technology at the FHNW Institute of Product and Production Engineering, part of the University of Applied Sciences Northwestern Switzerland. He teaches Optical Engineering in the Master of Science in Engineering program and contributes to courses in Mechanical Engineering, Electrical Engineering, and Systems Engineering. His research focuses on ultrafast lasers, optical systems design, and laser micromachining, with notable work on femtosecond laser development and optical coherence tomography. Resan holds a PhD in Optics from CREOL/College of Optics and a Marie Curie Senior Scientist Fellowship. Education: PhD in Optics (2004–2008), Center for Research and Education in Optics and Lasers/College of Optics, Orlando, FL, USA Master Degree in Optics (2001–2004), CREOL/College of Optics, Orlando, FL, USA Master Degree in Photonics and Imaging (1997–1998), ENSPS Strasbourg/Institute d’Optique, France Dipl. Ing. in Physics (1997), University of Zagreb, Croatia Resan’s research interests span ultrafast laser systems, laser micromachining, and optical coherence tomography. His work emphasizes high-repetition-rate lasers for industrial applications and novel laser technologies for precision engineering. Recent projects include the development of compact, low-cost ultrafast lasers and wafer-scale grating compressors. He has authored over 27 journal articles, holds 7 US patents, and contributed to the SwissFEL facility’s laser characterization. His scientific accolades include the Marie Curie Senior Scientist Fellowship. Resan advises Master and PhD students and supervises research projects on laser beam shaping, dual-comb LiDAR, and machine learning-driven optical alignment. Key collaborations include NanoArgovia (NanoLase project), Eurostar (GigaMicro), and Innosuisse-funded initiatives. His labs focus on advancing laser technologies for manufacturing, biomedical imaging, and precision engineering.

• Small-Angle Scattering (SAS)
• Soft Matter
• Biomaterials
• +۴ مورد دیگر

Dr. Viviane Lütz Bueno is a Tenure-Track Scientist at the Paul Scherrer Institute (PSI) within the Soft Matter Group at the PSI Center for Neutrons and Muons. She holds expertise in small-angle scattering (SAS) techniques, focusing on soft matter systems using neutrons (SANS) and X-rays (SAXS). Her research spans hierarchical biomaterials, self-assembled systems, and method development for in situ SAS measurements under flow conditions. She is co-responsible for the SANS-LLB instrument at PSI, collaborating with international partners like LLB (Saclay, France). Major research interests include microfluidics platforms for SANS, chemical reactions under confinement, and dark-field imaging. Dr. Bueno has held visiting roles at UNICAMP (Brazil), ETH Zürich, and the Okinawa Institute of Science and Technology. Her educational background includes a PhD in Food Processing from ETH Zürich (2013–2016), a Master's in Materials Science (MaMaSelf program across Rennes, TUM Munich, and PSI), and a Bachelor's in Materials Engineering from the Universidade Federal do Rio Grande do Sul, Brazil. She has taught courses on scattering techniques at ETH and EPFL. Dr. Bueno leads and collaborates on grants totaling over CHF 1.5 million, including projects on macromolecules under flow, nanoreactor anisotropy, and rheology of surfactant mixtures. She develops software tools like DarePy for SANS data reduction. Her work bridges fundamental soft matter physics with applications in biomaterials, drug delivery, and renewable energy systems.

Marianne Liebiمشاهده پروفایل

استادیار

• Materials Science
• Biomedical Engineering
• X-ray Imaging Techniques
• +۳ مورد دیگر

Marianne Liebi is a Tenure-Track Assistant Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering’s Institute of Materials. She leads the Structure and Mechanics of Advanced Materials group at the Paul Scherrer Institute (PSI) within the Photon Science Division. Her research focuses on developing advanced X-ray imaging techniques, particularly small-angle X-ray scattering (SAXS) tensor tomography, to study hierarchical materials such as biomimetic composites, cellulose-based materials, and bone tissues. She has held positions at Chalmers University of Technology (Sweden) and Empa, and her work bridges materials science, biomedical engineering, and nanotechnology. Education: PhD in Food Science from ETH Zurich (2013), followed by postdoctoral research at the Swiss Light Source. Professional roles include Assistant Professor at Chalmers University (2017–2020) and Scientific Group Leader at Empa (2020–2021). Research interests emphasize imaging complex structures across scales, with applications in 3D printing, industrial plastics, and biological tissues. Key methods include SAXS, ptychographic tomography, and X-ray fluorescence. Her group collaborates widely, addressing challenges in material design, medical diagnostics, and sustainable polymers. Advising and grants: While specific grants are not detailed, her leadership roles and publications indicate active research funding. Labs/teams: PSI’s Laboratory for Condensed Matter and Materials Science, with ongoing collaborations at synchrotron facilities like ESRF and MAX IV.

Damien Lambert Alain Félicien Gilliardمشاهده پروفایل

مدرس

• Biomedical Engineering
• Medical Imaging
• Ophthalmology
• +۳ مورد دیگر

Damien Lambert Alain Félicien Gilliard is a Lecturer and Doctoral Assistant at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Wood Construction Laboratory (IBOIS) under the School of Architecture, Civil and Environmental Engineering (ENAC). He is also part of the SAR-ENS teaching unit within ENAC. His doctoral research focuses on architecture and urban sciences. Research interests center on advanced biomedical imaging techniques, particularly visible-light optical coherence tomography (vis-OCT), applied to retinal ganglion cell axon bundles and neural damage assessment in conditions like glaucoma. He develops methods to align in vivo imaging with ex vivo confocal microscopy for validation, enhancing sensitivity in disease monitoring. Key contributions include studies on retinal structure analysis in tree shrews, mice, and humans; intraocular pressure reduction via nanoparticle drug delivery; and characterization of neural defects in genetic small-eye mouse models. His work integrates engineering, ophthalmology, and neuroscience, supported by NIH grants (R01EY029121, R01EY035088). Labs/Teams: Wood Construction Laboratory (IBOIS), collaboration with Opticent Health for clinical imaging tools. Grants: Glaucoma Research Foundation, Knights Templar Eye Foundation, and Cavalier Collaborative Awards.