جستجوی استاد راهنمای دانشگاهی

Christian Igel is a Full Professor at the Department of Computer Science (DIKU), University of Copenhagen. He serves as Director of the SCIENCE AI Centre and co-lead of the Pioneer Centre for Artificial Intelligence. Igel holds a Doctoral degree from Bielefeld University (2002) and a Habilitation from Ruhr-University Bochum (2010). Previously, he was a Juniorprofessor at Ruhr-University Bochum (2003-2010). His research focuses on fundamental and applied machine learning, including: kernel methods, evolutionary optimization, deep neural networks, PAC-Bayesian analysis, and applications supporting sustainable development goals. He maintains extensive collaborations across disciplines, particularly in environmental monitoring and medical informatics. Igel's recent publications demonstrate strong interdisciplinary focus with applications in: Environmental science (tree cover mapping, carbon stock quantification) Healthcare (sleep staging, mental health epidemiology) Core ML theory (monotonic networks, PAC-Bayesian bounds) His work consistently appears in high-impact venues including Nature, ICML, and NeurIPS. Awards and Honors: ELLIS Fellow (European Lab for Learning and Intelligent Systems) Editorial Roles: Editor, German Journal on Artificial Intelligence (KI) Associate Editor, Evolutionary Computation Journal (ECJ) Associate Editor, Artificial Intelligence Journal (AIJ)

• Machine Learning
• Support Vector Machines
• Evolution Strategies
• +۴ مورد دیگر

Or Litany is an Assistant Professor at the Technion - Israel Institute of Technology and a Senior Research Scientist at NVIDIA, specializing in 3D computer vision and generative AI . They are an ELLIS scholar and actively recruiting Postdoctoral and PhD candidates for their new lab. 2023 Azrieli Faculty Fellow Taub Fellow Education: PhD in Computer Science from Tel-Aviv University under Prof. Alex Bronstein B.Sc. in Physics and Mathematics from Hebrew University Postdoctoral research at Stanford University (with Prof. Leonidas Guibas) and at FAIR (with Prof. Jitendra Malik) Research Interests focus on: 3D scene understanding and motion modeling Neural field representations for vision Generative AI for autonomous vehicle simulation Conference Leadership: Chairing Research Interaction sessions at 3DV 2026 Area Chair for ICCV 2025 Workshops: Co-organizing CVPR 2025 workshops on Open-Vocabulary 3D Scene Understanding and Neural Fields Beyond Conventional Cameras Scientific Contributions include: Emergent spatial-temporal decomposition via self-supervision Data-driven simulation for autonomous vehicle perception

• 3D computer vision
• Generative AI
• Machine Learning
• +۳ مورد دیگر

Xucong Zhang is a tenured Assistant Professor at the Intelligent Systems Department , Faculty of EEMCS , Delft University of Technology (TU Delft) . He also serves as a Guest Scientist at the Max Planck Institute for Intelligent Systems and is an EL LIS Scholar . He joined TU Delft in 2021 and was granted a permanent position in 2023. PhD from Max Planck Institute for Informatics (2013–2018) Postdoc at ETH Zurich (2018–2021) Research Interests : Xucong’s work centers on human-centered computing , combining gaze estimation and holistic human motion modeling (gaze, face, hand, full-body) to advance human-AI interaction , human-robot collaboration , and avatar generation . His healthcare research integrates computer vision with medical applications to support clinical practice. Publications Trends : Xucong’s recent work focuses on gaze estimation (e.g., UniGaze , PrivateGaze ), 3D kinematics (e.g., GazeNeRF ), and human-robot interaction (e.g., GazeHTA , SpeechCAT ). His research spans multi-camera systems , adversarial learning , and domain adaptation . Best Paper Honorable Mention, UIST 2017 Best Paper Honorable Mention, UIST 2016 EL LIS Scholar title (2023) Teaching & Funding : He leads the BSc Image Processing course and co-teaches MSc Computer Vision by Deep Learning . Xucong has secured 1.5M EUR in funding, including a DFG UGaze Programme grant (2026–2029) and sole PI for the Honda Research Institute + Netherlands TKI grant (2023–2028). Labs & Collaborations : Xucong coordinates the INSYGHT Lab at TU Delft and collaborates with institutions like Honda Research Institute Japan and ETH Zurich . His lab’s Cutting-Edge Multi-Camera System supports multi-modal data capture for social interaction analysis.

• Human-Centered Computing
• Gaze Estimation
• Embodied Visual Intelligence
• +۶ مورد دیگر

Frédéric Grouiller serves as Head of the CIBM MRI HUG-UNIGE Clinical MR Imaging Section at the University of Geneva since October 2023, holding a Researcher position focused on advanced neuroimaging methodologies and clinical applications. His academic foundation includes: Master in Engineering in Electronics and Computer Science (ESEO, Angers, 2005) Master’s research degree in Medical Imaging (University of Angers, 2005) PhD in Neurosciences (Grenoble Institute of Neurosciences, 2008) Dr. Grouiller’s pioneering work centers on multimodal imaging integration , particularly EEG-fMRI for spatio-temporal brain dynamics characterization. His research drives pre-surgical brain mapping innovations and pioneers Virtual Reality-bimodal neurofeedback systems for pediatric neurological/psychiatric therapies. This bridges cognitive neuroscience with clinical translation , emphasizing real-time data processing for epilepsy, tumor, and neonatal applications. He directs operational and methodological development at the Brain and Behaviour Laboratory’s MRI facility, building on prior roles in the Functional Brain Mapping Laboratory (University of Geneva) and Swiss Center for Affective Sciences (CISA). His leadership spans technical management of 3T/7T MRI systems and collaborative clinical research infrastructure.

• Multimodal Imaging
• EEG-fMRI
• Cognitive Neuroscience
• +۶ مورد دیگر

Richard Benton, a Professor at the University of Lausanne, is a leading researcher in neurobiology, evolution, and genetics. His work focuses on the structure, function, and evolution of chemosensory systems in insects, particularly Drosophila species. He has made groundbreaking contributions to understanding Ionotropic Receptors (IRs) and Odorant Receptors (ORs) in olfaction, gustation, and thermosensation. His academic journey includes a PhD from the University of Cambridge (2003) and post-doctoral training at Rockefeller University (EMBO/Heley Hay Whitney Fellow). He joined the Center for Integrative Genomics in 2007 as Assistant Professor, advancing to Full Professor by 2018. His research employs multidisciplinary approaches (bioinformatics, genetics, electrophysiology) to unravel neural circuit evolution and sensory adaptation. Research Themes: Chemosensory receptor evolution and function Neurodevelopmental mechanisms in olfactory circuits Drosophila sechellia as a model for behavioral evolution His lab has produced 15 recent publications spanning molecular evolution, neural circuitry, and ecological adaptation. Key awards include the EMBO Gold Medal (2016), National Latsis Prize (2015), and multiple ERC grants. His team includes postdocs and students working on insect neurogenetics, behavioral assays, and computational methods.

• Neurobiology
• Evolution
• Genetics
• +۵ مورد دیگر

Mheitxell Bach Cuadra serves as Senior Lecturer at the University of Lausanne's School of Biology and Medicine and Head of the CIBM Signal Processing CHUV-UNIL Trustworthy Medical Image Analysis Section since 2020. Based at CHUV Radiology Department, she leads the Medical Image Analysis Laboratory (MIAL) with deep integration into Lausanne's biomedical research ecosystem. Educational background includes MSc in Electrical Engineering (Universitat Politècnica de Catalunya, 1998) and PhD from EPFL (2003), followed by postdoctoral work at EPFL until 2005. Her research spans computational (neuro)anatomy , medical image analysis , and 7T MRI applications with focus on machine learning-driven solutions. Key specialties include image reconstruction for fetal imaging, segmentation techniques for multiple sclerosis studies, human thalamus mapping, and ocular tumor analysis. The MIAL laboratory develops clinically validated tools emphasizing algorithmic trustworthiness and reproducibility. As section head, she coordinates CIBM's signal processing initiatives and fosters collaborations between engineers, radiologists, and neurologists. Her leadership supports translational research from algorithm development to clinical implementation within the CHUV-UNIL infrastructure.

• Computational (neuro)anatomy
• medical image analysis
• magnetic resonance imaging
• +۷ مورد دیگر

Giovanni Chiarion is a postdoctoral researcher at the Center for Biomedical Imaging (CIBM), affiliated with the Electrical Neuroimaging Section of CHUV-UNIL. He holds a Bachelor’s degree in Biomedical Engineering from the University of Padua and Master’s/Ph.D. degrees in Biomedical Engineering from Politecnico di Torino. Education: University of Padua (B.Sc.), Politecnico di Torino (M.Sc., Ph.D.) His research spans Brain-Computer Interface (BCI) development for motor-impaired patients, multi-scale neuronal connectivity analysis using EEG and in vitro networks, and spike sorting algorithm optimization for overlapping neural signals. Current work investigates pupillometric responses to auditory surprise and regularity violation detection. Scientific contributions include a grant-funded BCI project combining sensorimotor rhythms with pupillometric methods, and innovations in resolving overlapping spike waveforms for synchronized neuronal activity studies. Key award: University of Torino research grant for binary response BCI system

• Biomedical Engineering
• Brain-Computer Interfaces
• EEG Signal Processing
• +۳ مورد دیگر

Tomas Ros serves as Senior Lecturer at the Department of Clinical Neuroscience, University of Geneva, and Research Staff Scientist at the Center for Biomedical Imaging (CIBM) within the EEG HUG-UNIGE Clinical and Translational Neuroimaging Section under Prof. Serge Vulliémoz. His career bridges physics, neuroscience, and clinical applications with focus on translational neuroimaging. His academic foundation includes: BSc in Physics from Imperial College of Science and Technology (London, UK) MSc in Neuroscience from Louis Pasteur University (Strasbourg, France) PhD in Psychology from Goldsmiths College, University of London (2010) Dr. Ros pioneered research in EEG neurofeedback , discovering immediate post-session brain changes during his doctoral work. His expertise spans psychiatric applications (PTSD, ADHD) and neurological rehabilitation (post-stroke), utilizing advanced signal processing within brain-computer interface frameworks. Current work focuses on methodological refinement of neurofeedback protocols for clinical deployment, emphasizing cross-disciplinary integration of engineering and medicine. His scientific recognition includes the Brain Star Award from the Canadian Institutes of Health Research for PTSD neurofeedback research. As Principal Investigator of a Swiss National Science Foundation grant, he leads methodological development of EEG neurofeedback for psychiatric/neurological conditions. Prior funding includes Leenards Foundation support for stroke rehabilitation and Synapsy NCCR program involvement for ADHD studies. At CIBM, he contributes to the Clinical and Translational Neuroimaging Section's mission of advancing 7T MRI and EEG technologies for clinical neuroscience, collaborating with multidisciplinary teams to translate neuroimaging innovations into therapeutic applications.

• Neurofeedback
• Brain-Computer Interface
• EEG
• +۴ مورد دیگر

Abele Michela is a Postdoctoral researcher at the Center for Biomedical Imaging (CIBM), EEG HUG-UNIGE Clinical and Translational Neuroimaging Section, University of Geneva, supervised by Tomas Ros. His work focuses on intervention science through neuro- and bio-feedback, with applications in police training and clinical rehabilitation. His educational background: PhD, Radboud University Nijmegen (2024): Focused on in-action HRV biofeedback in VR for police officers under threat. Master's, University of Geneva: Centered on EEG neurofeedback for treatment of stroke and attention-related disorders. Bachelor's in Biotechnology, EPFL. Research interests include Intervention Science, Neurofeedback, Biofeedback, Physiological and EEG Signal Analysis, Dynamical Systems, Virtual Reality Design, Police Training, Philosophy of Science, and Education. His work integrates technical signal processing with real-world applications to enhance human performance and health. Based at University of Geneva's Campus Biotech, he is part of the Clinical and Translational Neuroimaging Section, which fosters collaboration between Geneva University Hospitals (HUG) and the University of Geneva (UNIGE).

• Intervention Science
• Neurofeedback
• Biofeedback
• +۶ مورد دیگر

Oscar Dabrowski is a Postdoctoral Researcher at the Center for Biomedical Imaging (CIBM) MRI section, affiliated with the University of Geneva (UNIGE) and Geneva University Hospitals (HUG), where he joined the Clinical MR Imaging Section on February 1, 2024 to advance MRI image quality through computational innovation. His academic foundation includes: BSc from HEPIA (EIG) in 2013 MSc in Computer Science from University of Geneva in 2017 PhD in Computer Science from University of Geneva in 2023 His research integrates deep learning with MRI physics to solve artifact correction challenges, specializing in k-space motion estimation and NUFFT-based reconstruction to eliminate hallucinations while preserving diagnostic integrity. This work directly enhances neuroimaging reliability through signal processing and model-driven AI approaches. Dr. Dabrowski actively contributes to education as a teaching assistant for computer programming courses and participant in the "Advanced MRI techniques in neuroimaging" curriculum, though no research grants or student advisees are documented. He operates within CIBM's Clinical MR Imaging Section at HUG Radiology, collaborating across UNIGE, HUG, EPFL, and CHUV to pioneer 7T MRI applications in clinical settings.

• MRI
• deep learning
• image processing
• +۳ مورد دیگر

Carole Guedj is a Research Fellow at the Center for Biomedical Imaging (CIBM) of the University of Geneva and Geneva University Hospitals, affiliated with the Cognitive and Affective Neuroimaging Section at UNIGE and the Clinical MR Imaging Section at HUG-UNIGE since November 2023 and January 2025 respectively. Her research centers on cognitive and affective neuroscience, with emphasis on attentional mechanisms and developmental cognitive processes in children using advanced neuroimaging techniques. Her academic foundation includes: Bachelor's degree in Animal Physiology Master's degree in Cognitive Neuroscience PhD in Neurosciences and Cognition (2016) from Lyon Neuroscience Research Center Dr. Guedj specializes in investigating attentional networks through multimodal approaches. Her doctoral work examined norepinephrine effects on non-human primate brains via fMRI, while current research explores pulvinar function in attention using combined fMRI and EEG methodologies across healthy populations, stroke patients, and pediatric cohorts. She actively collaborates with the Geneva Musical Minds Laboratory and Innovative Clinical Multimodal Brain Imaging team to optimize cognitive development frameworks. Based at the UNIGE Brain and Behaviour Laboratory, she maintains active involvement in collaborative research initiatives. Information regarding specific grant funding and formal student supervision responsibilities is not detailed in available institutional records.

• Cognitive Neuroscience
• Attentional Processes
• Neuroimaging
• +۳ مورد دیگر

André Döring is a Postdoctoral Researcher at the Center for Biomedical Imaging (CIBM) within the Swiss Federal Institute of Technology in Lausanne (EPFL), where he joined in September 2023. He contributes to cutting-edge neuroimaging research under Principal Investigator Assistant Professor Lijing Xin, focusing on SNSF-funded projects that develop novel MRI methodologies for brain disease characterization. Educational background: Diploma in Physics, University of Dresden (2014) PhD in Biomedical Sciences (specializing in Diffusion MR Spectroscopy), University of Bern (2019) Dr. Döring's research centers on advancing multiparametric diffusion-encoding strategies for ultra-high-field MRI scanners. His work uniquely integrates cellular microstructure analysis, metabolic profiling, and functional connectivity to detect early pathomorphological alterations in psychiatric and neurodegenerative disorders. Key applications target prodromal stages of Alzheimer’s, Parkinson’s, Multiple Sclerosis, Schizophrenia, and Depression, where conventional imaging fails to identify subtle biomarkers. He emphasizes clinical translation through partnerships with neuroscience clinics. Scientific recognition: Swiss National Science Foundation (SNSF) Fellowship (awarded twice) As an active SNSF grant recipient, Dr. Döring leads technical development for the “neurometabolic connectome” project while collaborating internationally with institutions like Cardiff University’s Brain Research Imaging Centre. Though not a primary student supervisor, he contributes to training through the CIBM’s research ecosystem. His methodology bridges physics-based sequence design and clinical neuroscience, supported by EPFL’s 7T MRI infrastructure. Dr. Döring operates within the CIBM’s MR Imaging Technology Section, leveraging cross-disciplinary teams to innovate diffusion-MRS techniques. His current work with PI Lijing Xin establishes frameworks to correlate metabolic dysfunction with microstructural changes in psychiatric disorders, utilizing advanced data processing pipelines for Connectom scanner datasets.

• Magnetic Resonance Imaging
• Magnetic Resonance Spectroscopy
• Diffusion MRI
• +۴ مورد دیگر

Jocelyn Grosse is an Animal Physiologist affiliated with the Center for Biomedical Imaging (CIBM) at École Polytechnique Fédérale de Lausanne (EPFL) since April 2025. She specializes in metabolic imaging, behavioral genetics, and in vivo pharmacological research, with a focus on stress, mitochondrial function, and animal welfare. MSc in Neuropsychopharmacology of Cognitive Processes, University of Bordeaux (2008) Her expertise spans transgenic mouse models, behavioral testing, surgical techniques, and regulatory compliance in animal research. She has extensive experience in lab management and mentoring students, particularly in studies involving anxiety, depression, and neurodegenerative disorders. At EPFL's Laboratory of Behavioral Genetics (2010–present), she coordinated in vivo research, managed transgenic mouse lines, and led projects on stress-related neurobiology. Her current role at CIBM's Pre-Clinical Imaging Metabolic Imaging Section builds on her technical and managerial strengths in advancing metabolic and behavioral imaging research. Contact: jocelyn.grosse@epfl.ch | (+41) 21 693 79 92 | EPFL AVP CP CIBM, Station 6 CH F0-626, CH-1015 Lausanne, Switzerland

• Behaviour neuroscience
• neurobiology
• in vivo pharmacology
• +۶ مورد دیگر

Omar Zenteno is a Postdoctoral Researcher at the Center for Biomedical Imaging (CIBM) at École Polytechnique Fédérale de Lausanne (EPFL). Specializing in multimodal medical image processing , his work spans image registration, segmentation, and quantitative analysis for both preclinical and clinical applications. Current focus on MRI/PET sequence design for soft tissue reconstruction in regenerative medicine Developed spectral pattern identification techniques for gastric mucosa abnormalities during PhD Led translational phase of PETRUS project integrating PET/CT and ultrasound for carotid plaque analysis Research Interests include: Multimodal imaging systems development Biomaterials characterization via advanced imaging Translational clinical and preclinical imaging applications Education : PhD from Université d'Orléans (France) via ANR-EMMIE project Key Achievements : Patent application for PETRUS project prototype Secured SNSF Innosuisse grant for collaboration with Volumina Medical

• multimodal medical image processing
• image registration
• image segmentation
• +۵ مورد دیگر

Elda Fischi-Gómez is a Research Staff Scientist at the Center for Biomedical Imaging (CIBM), affiliated with EPFL and CHUV. She holds a BSc and MSc in Telecommunication Engineering from Polytechnic University of Catalonia (UPC, Spain) and a PhD in Electrical Engineering from EPFL (2015). Her research focuses on advancing MRI techniques by integrating software algorithms, MR physics/hardware, and neuroscience to improve understanding of brain development and disease. She has received notable grants including the SNFS Early-Postdoc Fellowship [SNF-P2ELP2_172286] and the EPFL-ETH Strategic Focal Area grant [PHRT-2018-425] for microstructure imaging in multiple sclerosis. Her work combines high-resolution dMRI acquisitions with advanced microstructural models and machine learning. As a member of the IEEE BioImaging and Signal Processing Technical Committee (BISP-TC), she chairs the Communications and Outreach subcommittee. She has served as a reviewer for ISBI, ISMRM, and conferences like ICASSP and ICIP, as well as high-impact journals such as Medical Image Analysis and Neuroimage: Clinical.

• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• Machine Learning
• +۳ مورد دیگر