جست‌وجوی استاد و پژوهشگر

Ahmed J. Afifiمشاهده پروفایل

پژوهشگر

• Deep Learning
• Computer Vision
• 3D Object Reconstruction
• +۵ مورد دیگر

Dr. Ahmed J. Afifi is a postdoctoral researcher specializing in Deep Learning and Computer Vision. He earned his Ph.D. (Dr.-Ing.) from Technische Universität Berlin in 2021 and currently works at Helmholtz Institute Freiberg for Resource Technology. Ph.D. in Deep Learning & Computer Vision Current Postdoctoral Researcher at Helmholtz Institute Freiberg His research focuses on 3D Object Reconstruction from single images and Medical Image Analysis , particularly retinal imaging. He has contributed to multimodal hyperspectral data analysis and sensor fusion applications. Recent publications include work on mineral classification using multi-stream neural networks (2024), 3D hyperspectral point cloud segmentation benchmarks (2023), and retinal lesion segmentation architectures (2023). Collaborations span geoscience and biomedical domains. Key research areas include: Deep Learning Applications 3D Reconstruction Techniques Hyperspectral Imaging Systems Medical Image Processing

• Biomedical Neuroscience
• Molecular & Developmental Neuroscience
• Cellular & Systems Neuroscience
• +۷ مورد دیگر

Professor Antje Grosche is a leading researcher in the Department of Physiological Genomics at the BioMedical Center of Ludwig Maximilian University of Munich. She leads a research group focused on Müller cells, the dominant macroglial cells of the retina, investigating their physiological functions and role in retinal diseases. Her primary research focuses include Biomedical Neuroscience, Molecular & Developmental Neuroscience, and Cellular & Systems Neuroscience. Her work specifically examines retinal degeneration, Müller glia, neuroinflammation, and gene therapy. Her research group investigates the critical roles Müller cells play in maintaining retinal homeostasis, including their functions in metabolite supply, neurotransmitter recycling, ion and volume homeostasis, and potential modulation of neuronal information processing. Her recent publications demonstrate a strong focus on Müller cell proteomics, gliotransmission, neuroinflammation, and the complement system in retinal diseases. Her research shows an evolving trajectory toward understanding the molecular mechanisms underlying retinal degeneration and identifying potential therapeutic targets for retinal diseases. Professor Grosche has advised several graduate students including Patricia Hoffelner, Lew Kaplan, Anna-Monika Pfaller, and Josef Biber. Her laboratory employs advanced techniques including calcium imaging, volume regulation characterization, gliotransmitter release detection, immunomagnetic cell separation, and molecular biology approaches to study retinal physiology. Her research group actively investigates three main areas: glia-to-neuron cross talk in health and disease, Müller cell gliosis (whether it's friend or foe for neurons), and Müller cells as targets for therapeutic interventions in retinal diseases.

Gerlind Plonkaمشاهده پروفایل

استاد

• Numerical Fourier Analysis
• Wavelet Theory
• Regularization Methods
• +۳ مورد دیگر

Gerlind Plonka is a Professor of Applied Mathematics at the University of Göttingen, specifically within the Institute for Numerical and Applied Mathematics (NAM). Her research focuses on Numerical Fourier Analysis Wavelet Theory Regularization and Nonlinear Diffusion Methods Fast Algorithms and Numerical Stability Signal and Image Processing Applications Her recent publications emphasize structured subsampling in Fourier domains, Prony-type methods for exponential sum recovery, and deep learning integration in medical imaging. She supervises active PhD candidates including Benjamin Kocurov, Anahita Riahi, Yannick Nicola Riebe, and Janina Schmidt, with a legacy of advising over 50 graduates across diverse topics like Sparse FFT Algorithms Phase Retrieval Constraints Wavelet-Based Image Compression Nonlinear Diffusion Filters High-Dimensional Data Approximation

Karl R. Gegenfurtnerمشاهده پروفایل

استاد

• Visual Perception
• Color Vision
• Sensorimotor Integration
• +۶ مورد دیگر

Prof. Karl R. Gegenfurtner is a Professor in the Department of Psychology at Justus-Liebig-University Giessen, Germany. His research explores the visual system's information processing, focusing on interactions between sensory perception, cognition, and motor control in natural environments. Education : Psychology (Diploma) at University of Regensburg (1986), Ph.D. in Experimental Psychology at New York University (1990) Academic Career : Postdoc at NYU (1990-1993), Research Scientist at Max-Planck-Institute Tübingen (1993-2000), Professor at Otto-von-Guericke University Magdeburg (2000-2001), Professor at Giessen University (since 2001) His work spans visual perception , color vision , and oculomotor control , with groundbreaking studies on color categorization in neural networks, sensorimotor integration, and visual processing during eye movements. Recent publications focus on chromatic contrast sensitivity , gloss perception in AI models , and color constancy in virtual reality . Notable scientific awards include the Wilhelm Wundt Medal (2016), Pineapple Science Award (2024), ICVS Verriest Medal (2024), and the Russell Devalois Memorial Lecture (2024). He served on editorial boards for journals like Journal of Vision and Psychological Review , and currently leads the Color 3.0 ERC Advanced Grant project.

Spencer Balayمشاهده پروفایل

پژوهشگر

• Neuroscience
• Developmental Biology
• Sensory Systems
• +۳ مورد دیگر

Spencer Balay, PhD, is a Researcher affiliated with the Keays Lab at the Faculty of Biology of Ludwig-Maximilians-Universität München. His research focuses on sensory and developmental neuroscience, particularly in photoreceptor development, retinal biology, and neurogenesis. He investigates mechanisms underlying retinal cell specification, magnetoreception, and molecular pathways in zebrafish models. His work spans topics such as cryptochrome proteins' roles in vision and navigation, genetic regulation of adult-born neurons, and retinal morphogenesis in mutants. Balay's contributions include studies on CRY2 proteins in pigeons, capicua gene regulation in hippocampal neurogenesis, and NRL's role in photoreceptor development across vertebrates. He is part of the Sensory and Developmental Neuroscience group, collaborating on projects involving zebrafish as a model organism for understanding developmental and sensory processes. His research integrates molecular biology, genetics, and systems-level analysis to address fundamental questions in neurobiology.

Jonathon Shlensمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Neuroscience
• +۳ مورد دیگر

Jonathon Shlens is a principal scientist and research director at Google DeepMind, focusing on vision, language, and learning. He has led teams in deploying production systems, invented TensorFlow, and collaborated with Waymo. His work spans machine learning, computer vision, basic science, and autonomous driving. Research interests include: Machine learning with applications in multimodal and transformer models Computer vision, particularly robustness and 3D object detection Neuroscience, analyzing neural computations in the primate retina Autonomous driving systems and motion forecasting Recent articles highlight trends in: Vision-language models and semantic guidance Transformer architectures for scene flow and calibration Adversarial robustness across human and machine perception Scalable datasets and model architectures Scientific awards include: Best Paper Award at CVPR 2013 Former advisees include notable researchers now at institutions like Stanford, MIT, and OpenAI.

Irina Soloveiمشاهده پروفایل

پژوهشگر

• Nuclear Architecture
• Epigenetics
• Chromatin Organization
• +۳ مورد دیگر

Dr. Irina Solovei is a leading researcher in nuclear architecture and chromatin organization at the Ludwig-Maximilians-Universität München (Faculty of Biology, Department of Human Biology and BioImaging). Her work focuses on the functional implications of chromatin spatial arrangement, particularly in rod photoreceptor nuclei and its evolutionary significance. Key Research Themes: Chromatin segregation, nuclear inversion as adaptive optics, transcription loops, heterochromatin dynamics, lamin interactions, and self-organization of nuclear structures. Students: Dr. Yana Feodorova, Dr. Susanne Leidescher, Dr. Katharina Thanisch, Dr. Congdi Song, Dr. Simon Ullrich. Publications: 15+ recent works on chromatin mechanics, transcriptional architecture, and evolutionary nuclear design in journals like Cell , Nature , and eLife .

• Scene Graphs
• Generative Models
• Unsupervised Learning
• +۳ مورد دیگر

Azade Farshad is a Lecturer and researcher at the Technical University of Munich (TUM), affiliated with the Chair of Medical Informatics Applications under Prof. Nassir Navab. Her work focuses on advanced computer vision techniques applied to medical imaging and surgical robotics, with expertise in generative models, meta-learning, and scene graph-based systems. She actively contributes to research projects like MIGS (Meta Image Generation from Scene Graphs) and FedAP (Federated Learning for Non-IID Data), and leads initiatives in medical augmented reality and surgical data science. Her teaching portfolio includes courses such as Computer Aided Medical Procedures , Medical Augmented Reality , and Deep Learning for Medical Applications . She supervises master’s theses on topics like meta-learning, semantic image manipulation, and robust machine learning models, with notable students including Caghan Koksal and Sraddha Das. Azade is professionally active in the computer vision and medical imaging communities, serving on the executive committees of the British Machine Vision Association (BMVA) and Women in MICCAI (WiM). She co-organized workshops at CVPR and ICCV, and reviews for top conferences like CVPR, NeurIPS, and MICCAI. Her research labs include the DHM (Deutsches Herzzentrum München), IFL Lab, and NARVIS Lab, where she explores applications in generative AI, surgical data science, and vision-language systems. Key contributions include Y-Net (a medical image segmentation framework) and DisPositioNet (for semantic image manipulation).

Marcin Grzegorzekمشاهده پروفایل

استاد

• Medical Informatics
• Artificial Intelligence in Medicine
• Deep Learning
• +۳ مورد دیگر

Prof. Marcin Grzegorzek is a Professor at the Institute of Medical Informatics , University of Lübeck, Germany. His research focuses on AI-driven medical imaging, deep learning applications in healthcare, and sensor data analysis for assistive technologies. Key areas include medical image processing, wearable sensor systems, and clinical decision support systems. Research Groups: Medical Data Science Lab, Medical Deep Learning Lab, and Junior Research Group on Movement Disorders. Key Projects: Development of AI algorithms for OCT-based retinal analysis, lymph node segmentation, and real-time health monitoring using wearables. His work bridges clinical needs with advanced computational methods, contributing to improved diagnostics and personalized medicine. Over 100+ peer-reviewed publications reflect his expertise in medical informatics and interdisciplinary collaborations.

Christoph Fahlkeمشاهده پروفایل

استاد

• Membrane Physiology
• Neuroscience
• Biophysics
• +۳ مورد دیگر

Prof. Christoph Fahlke is a Professor at the Institute for Biological Information Processes (IBI) within Forschungszentrum Jülich, leading the Molecular and Cellular Physiology (IBI-1) department. His research focuses on membrane transport mechanisms, synaptic transmission, and the pathophysiology of genetic disorders. Recent work emphasizes the role of glutamate transporters and CLC anion channels in neurological diseases. Key research areas include: Mechanisms of ion transport in excitable cells Structure-function relationships of transporters like EAAT and ClC proteins Genetic mutations linked to neurodevelopmental disorders CLC channel modulation by fluoride and metabolic signals His publications highlight collaborative approaches combining experimental and computational methods to study ion channels. Notable contributions include elucidating CLC-3's role in pain perception and EAAT-linked ataxias. Current work explores how transporter dysfunction impacts glial and neuronal physiology. Prof. Fahlke's lab is part of the Helmholtz Association and collaborates widely, contributing to projects like the Peter Grünberg Institut. He has authored over 50 peer-reviewed articles and holds an ORCID ID: 0000-0001-8602-9952.

Oliver Baumannمشاهده پروفایل

استاد

• Applied and Technical Optics
• Experimental Physics
• Scientific Image Processing
• +۳ مورد دیگر

Oliver Baumann serves as Professor of Mathematics and Physics at the Department of Industrial Engineering within the Faculty of Engineering and Computer Science at Hamburg University of Applied Sciences (HAW Hamburg). His office is located in Room 0.17b at Ulmenliet 20, 21033 Hamburg, with office hours held Wednesdays 10:00–11:00 by email appointment. His academic background includes a physics diploma from CAU Kiel, a diploma thesis in applied optics at JGU Mainz, and a doctorate in astronomy from MPIA Heidelberg. Prior to his professorship, he worked as a scientific employee at Carl Zeiss AG in Oberkochen. Baumann's research spans applied and technical optics , experimental physics , and scientific image processing , with emphasis on optical measurement technology and precision mechanical-optical systems. His work bridges theoretical physics with industrial applications in aerospace, medical technology, and optical instrumentation. Key projects include radar system optimization for field mouse detection, fluorescence imaging evaluation in medical contexts, and photovoltaic-heat transport system design. His publications reveal strong focus on optical engineering (75% of works), instrumentation patents (60%), and educational methodologies (20%). Recent trends show increasing specialization in medical optics applications since 2016, alongside consistent contributions to astronomical instrumentation. Graduates' award for particularly dedicated teachers: 'Golden Duck' 2023 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2019 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2018 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2017 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2016 Baumann actively supervises graduate theses while serving as Chairman of the Examination Board for HWI bachelor's and master's programs. He holds multiple institutional roles including BAFöG representative, Deputy member of Faculty Council LS, and DAAD reviewer for Nigeria (PTDF). His professional affiliations include the European Optical Society (EOS), German Society for Applied Optics (DGaO), German Physical Society (DPG), and University Teachers' Association (hlb). His research activities center around precision mechanical-optical systems development, with emphasis on imaging technologies and measurement instrumentation. Current projects focus on optical metrology applications in aerospace and medical technology sectors.

Martin Bielمشاهده پروفایل

استاد

• Pharmacology
• Ion Channels
• Genetic Mouse Models
• +۴ مورد دیگر

Professor Martin Biel serves as Chair of Pharmacology at Ludwig-Maximilians-University Munich's Faculty of Chemistry and Pharmacy, Department of Pharmacy, and Center for Drug Research. His laboratory focuses on ion channel physiology in CNS and cardiovascular systems. Research centers on cyclic-nucleotide modulated channels (CNG/HCN) and endolysosomal ion channels using genetic mouse models , AAV-mediated gene therapy , electrophysiology , imaging , and telemetric monitoring of in vivo function. Key interests include retinal disorders, neuronal circuit dysfunction, and cardiovascular innervation pathologies. Recent publication analysis reveals strong emphasis on Viral entry mechanisms (Ebola) Retinal gene therapy approaches Cardiac electrophysiology Metabolic liver disease models with consistent application of molecular pharmacology and genetic engineering techniques. Current advisees include Manuela Brümmer, with notable graduate Lisa Riedmayr. Laboratory methods encompass OCT/ERG retinal analysis, telemetric EEG/ECG, and organoid systems. Contact: mbiel@cup.uni-muenchen.de | Lab Website

Manuel Spitschanمشاهده پروفایل

استاد

• circadian rhythms
• visual system
• sleep
• +۳ مورد دیگر

Manuel Spitschan serves as Professor of Chronobiology & Health within the Department of Sport and Health Sciences at Technical University of Munich (TUM), where he maintains an active research program as an Associate member of MCN. His work bridges chronobiology with advanced light measurement and generation technologies across laboratory and real-world field settings. His research program investigates how light exposure influences human physiology and behavior through non-image forming pathways, with particular emphasis on circadian rhythm regulation, sleep architecture, and neuroendocrine responses. Key focus areas include individual variability in light sensitivity, melanopsin photoreceptor function, and the interplay between cone vision and circadian phototransduction. His methodological approach integrates physiological assessments with spectral light characterization to dissect mechanisms underlying light-mediated alertness and hormonal responses. Analysis of his publication record reveals evolving expertise from foundational pupillary light reflex mechanisms (2014) to cortical processing of melanopsin signals (2017) and acute neuroendocrine pathways (2019), culminating in recent investigations of individual differences (2022) and clinical phenotypes in cone dysfunction (2021). This trajectory demonstrates consistent innovation in quantifying light's biological impacts across diverse populations and experimental contexts. Scientific awards: No awards were documented in the provided materials. Student mentorship and grant activities cannot be characterized from the available information, though his active publication record suggests ongoing research supervision and funding. His laboratory operates within TUM's Uptown München-Campus, utilizing specialized facilities for controlled light exposure studies as indicated by his team's methodological publications.

• Photonics
• Optical Engineering
• Biomedical Optics
• +۵ مورد دیگر

Seyed Alireza Tabatabaei Mashayekh is a researcher at the Institute of Integrated Photonics at RWTH Aachen University. His work focuses on photonic integrated circuits (PICs) and their applications in biomedical and quantum technologies. Research Interests : Biomedical Optics Integrated Optics Quantum Photonics Optical Communication Signal Processing Publications : His recent works cover STED microscopy, flow cytometry, soliton-based communication, and silicon photonics. Key subfields include biomedical imaging, laser engineering, and integrated circuit design. Advising : He served as a consultant for Arka Dipta Das's master's thesis on photonic integrated circuit control systems.

• Computational Biology
• Systems Biology
• Mathematical Modeling
• +۲ مورد دیگر

Prof. Dr. Jan Hasenauer holds the Hertz Professorship at the University of Bonn since August 2024, with dual affiliations to the Life & Medical Sciences Institute (LIMES) and the Hausdorff Center for Mathematics (HCM) . His work bridges computational biology , systems biology , and mathematical modeling , focusing on methods for integrating heterogeneous biological data , model-based hypothesis testing , and experimental design optimization . Develops computational frameworks for analyzing complex biological systems Active in multi-scale modeling of cellular and organismal processes Key contributor to universal differential equations and Bayesian inference tools Research Trends from 2024-2025 publications show expertise in: Integrating clinical data with multi-omics for disease modeling Designing privacy-preserving analysis tools for clinical trials Developing software standards like PEtab for reproducible modeling Applying machine learning to epidemiological forecasting The group maintains strong connections with the Transdisciplinary Research Area 'Modelling' and collaborates across mathematics , life sciences , and public health . Recent ERC Starting Grant funding (€1.5M) supports their innovative computational approaches.