جستجوی استاد راهنمای دانشگاهی

Prof. Matthias Nießner is a Professor at the Technical University of Munich, leading the Visual Computing Lab. His research intersects computer graphics, vision, and AI, focusing on 3D reconstruction, semantic understanding, and AI-driven video synthesis. He holds a PhD from the University of Erlangen-Nuremberg (2013) and was a Visiting Assistant Professor at Stanford University (2013–2017). Notable awards include the ERC Starting Grant (2018), Nvidia Professorship Award, and Eurographics Young Researcher Award (2019). His work has been featured in mainstream media and led to startups like Synthesia Inc. Research spans Gaussian splatting, neural radiance fields, and generative AI for 3D avatars. Over 150 publications include SIGGRAPH, CVPR, and ECCV, with best paper awards. Projects like Face2Face and ScanNet have driven innovation in facial reenactment and 3D scene datasets. Education: PhD in Computer Science, University of Erlangen-Nuremberg (2013) Diploma in Computer Science, University of Erlangen-Nuremberg (2010) Research Interests: 3D digitization, neural rendering, generative AI, non-rigid reconstruction, and applications in AR/VR. Awards: ERC Starting Grant (2018) Nvidia Professorship Award (2018) Google Faculty Award (2018) SIGGRAPH Best Emerging Tech Award (2016) Grants: Over €1.5M from ERC and industry partnerships. Labs/Teams: Visual Computing Lab at TUM and Synthesia Inc. (co-founder). Key projects include ScanNet (large 3D indoor dataset), Face2Face (real-time facial reenactment), and Gaussian-based 3D avatars. Current work focuses on diffusion models, neural radiance fields, and AI-generated media detection.

• 3D Digitization
• Computer Graphics
• Computer Vision
• +۷ مورد دیگر

Xiaowei Jia is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh. He holds a Ph.D. from the University of Minnesota (supervised by Prof. Vipin Kumar) and B.S./M.S. degrees from the University of Science and Technology of China (USTC) and SUNY Buffalo. His research focuses on integrating scientific theory with machine learning to address societal and environmental challenges, such as climate modeling, hydrology, and fairness in AI. Education: Ph.D., University of Minnesota (2020) M.S., State University of New York at Buffalo B.S., University of Science and Technology of China (USTC) Research Interests: Knowledge-Guided Machine Learning Spatiotemporal Data Mining Fairness in AI for Social Good Applications in Environmental Science and Healthcare Publications showcase his work on physics-integrated neural networks, spatiotemporal modeling (e.g., water temperature prediction), and fairness-aware algorithms. His work has been recognized with Best Paper awards at SIAM SDM (2022, 2023). Awards include the Best Applied Data Science Paper Award at SIAM SDM in 2022 and 2023. He teaches advanced machine learning courses, emphasizing theory integration with real-world applications.

• Machine Learning
• Data Mining
• Physics-Guided Neural Networks
• +۵ مورد دیگر

Xiaoxiang Zhu is a Professor for Data Science in Earth Observation at the Technical University of Munich (TUM) and serves as the Director of the International AI Future Lab - AI4EO. She is also on the Board of Directors of the Munich Data Science Institute (MDSI) and has held various leadership positions in research institutions including as Spokesperson for Helmholtz AI Research Field "Aeronautics, Space and Transport" (MASTr). Her educational background includes a doctorate (Dr.-Ing.) and habilitation from TUM. She has held positions as Private Dozent at TUM (2013-2015), TUM Junior Fellow (2013-2015), and Research Group Leader for "SparsEO" at Munich Aerospace (2011-2016). Professor Zhu's research focuses on the intersection of remote sensing, artificial intelligence, and data science. Her work primarily addresses global urban mapping, sustainable development goals, and climate change monitoring through Earth observation technologies. She develops advanced signal processing techniques and machine learning algorithms specifically tailored for satellite imagery and geospatial data analysis. Her research has significant applications in urban planning, environmental monitoring, and disaster management. Her team has pioneered approaches that combine synthetic aperture radar (SAR) with deep learning for improved Earth observation capabilities. Professor Zhu has received numerous prestigious awards including being named an IEEE Fellow (2021), receiving the Geodesy Award of the Nico Rüpke Foundation (2020), and being awarded an ERC Proof of Concept Grant (2020, 2022). She is also a Fellow of the Academia Europaea (2024) and AAIA Fellow (2024). Her publication record includes highly cited works such as "Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources" (2017). She leads a substantial research team comprising numerous PhD students and postdoctoral researchers working on various projects including Horizon Europe - ThinkingEarth, EarthCare, and AI4TWINNING. Her research group, the Chair of Data Science in Earth Observation, is actively involved in multiple large-scale European and German research initiatives focused on Earth observation and AI applications.

• Remote sensing and Earth observation
• Signal processing
• Artificial intelligence and machine learning
• +۳ مورد دیگر

Dr. Angelika Rambold is a Group Leader at the Max Planck Institute of Immunobiology and Epigenetics in Freiburg, Germany, heading the Laboratory for Metabolic Organelle Networks in Immunology within the Department of Developmental Immunology. Previously affiliated with the University of Münster's Center for Molecular Biology of Inflammation (ZMBE) and Institute of Medical Biochemistry until January 2025, she investigates how intracellular organelle networks regulate immune cell function during inflammation, infection, and metabolic stress. Her research centers on dynamic interactions between mitochondria, lysosomes, lipid droplets, and autophagosomes during cellular adaptation to nutrient deprivation and pathogen challenge. Key interests include organelle communication mechanisms in immune cell activation, metabolic reprogramming in T cells and macrophages, and how defects in organelle networks drive primary immunodeficiencies like Chediak-Higashi syndrome. She employs advanced live-cell microscopy, super-resolution imaging, metabolomics, and single-cell transcriptomics to dissect these processes in primary immune cells and human disease models. Analysis of her publication record reveals consistent focus on mitochondrial dynamics as a central regulator of immune cell metabolism and fate determination. Landmark studies demonstrate TFEB-mediated itaconate synthesis for bacterial control in macrophages and coordinated organelle network responses during starvation, establishing critical links between organelle communication, immunometabolism, and disease pathogenesis across multiple immune cell types. Dr. Rambold serves as a supervisor in the Cells in Motion International Max Planck Research School (CiM-IMPRS) Graduate Programme, mentoring PhD students in interdisciplinary research. Her laboratory maintains active collaboration with the Center for Chronic Immunodeficiency (CCI) at the University of Freiburg to translate basic findings on organelle-mediated immune defects into clinical insights for patient-oriented research.

• Immunology
• Cell Biology
• Metabolism
• +۳ مورد دیگر

Prof. Stephan J. Sigrist is a Full Professor of Genetics at the Institute of Biology, Free University of Berlin. His lab focuses on synaptic active zone architecture, neuroplasticity, and aging-related neurodegeneration. He leads the Collaborative Research Center 958 on Membrane Scaffolding and co-directs NeuroCure, a DFG Cluster of Excellence at Charité. Education: PhD in Molecular Genetics (1997) and Habilitation (2005) from the University of Göttingen. Positions: Einstein Professor (2014–present), Spokesperson CRC 958 (2012–present), and Co-Director NeuroCure (2009–present). Research explores presynaptic mechanisms using Drosophila and mouse models, combined with STED microscopy. Key contributions include discoveries of Bruchpilot's role in active zones and spermidine's protective effects against age-related synapse decline. Grants: Over €6 million in funding, including DFG CRCs, Einstein Foundation, and ERC Advanced Grant (2025). Awards: Einstein Professorship, Best Habilitation Award, EMBO/HFSP Fellowships. Collaborations span structural biology (e.g., Stefan Hell), neurophysiology (David DiGregorio), and aging research (Frank Madeo).

• Neurobiology
• Synaptic Plasticity
• Molecular Genetics
• +۷ مورد دیگر

Benedikt Günther is a research scientist at the Technical University of Munich (TUM) working within the Chair of Biomedical Physics led by Prof. Dr. Franz Pfeiffer. His research focuses on the Munich Compact Light Source (MuCLS), a laboratory-scale inverse Compton X-ray source that provides synchrotron-like radiation for biomedical applications. Günther plays a key role in developing, optimizing, and characterizing this innovative technology, contributing to both its fundamental physics and practical medical applications. His primary research interests center around X-ray physics and imaging techniques, particularly laser enhancement cavities for inverse Compton X-ray sources, X-ray microscopy, dynamic phase-contrast imaging, and X-ray spectroscopy. Günther's work bridges fundamental physics with practical medical applications, developing instrumentation that brings synchrotron-quality imaging to conventional laboratory settings. His research has significant implications for improving medical diagnostics while making advanced imaging techniques more accessible. Analysis of Günther's publication record reveals a consistent focus on advancing compact X-ray source technology and its applications. His work demonstrates expertise in both theoretical modeling and experimental implementation, with publications spanning instrument development, imaging techniques, and specific medical applications. The research shows progression from fundamental source characterization to increasingly sophisticated biomedical applications, particularly in breast imaging, dental diagnostics, and materials science. 2019 Best Poster Award at the combined meeting of the 68th Denver X-ray Conference (DXC) & 25th International Congress on X-ray Optics and Microanalysis (ICXOM) for 'Full-Field Structured Illumination Super-Resolution X-ray Transmission Microscopy' Günther regularly presents his work at major international conferences including the International Particle Accelerator Conference, High-Brightness Sources and Light-driven Interactions Congress, and specialized X-ray imaging meetings. His research is conducted within the Munich Compact Light Source facility, a collaborative project involving physicists, engineers, and medical researchers working to develop laboratory-scale synchrotron technology for widespread biomedical use.

• X-ray Physics
• Synchrotron Radiation
• Medical Imaging
• +۵ مورد دیگر

F. Ömer Ilday is a distinguished physicist and Alexander von Humboldt Professor at Ruhr University Bochum since July 2023, holding a joint appointment in the Faculty of Electrical Engineering and Information Technology and Faculty of Physics and Astronomy. His pioneering work in ultrafast laser technology has transformed non-linear laser-matter interactions, with applications spanning precision manufacturing, medical surgery, and nanofabrication. Education: PhD in Physics, Cornell University (2003) Postdoctoral Research Scientist, Massachusetts Institute of Technology (2003-2005) Ilday's research centers on ultrafast laser development and materials science, focusing on GHz-repetition-rate burst-mode systems, nonlinear laser lithography, and self-organization phenomena. His interdisciplinary approach bridges photonics, plasma physics, and materials engineering to enable breakthroughs in nanostructuring, silicon processing, and laser-based manufacturing. Current work emphasizes developing high-power laser sources and exploring fundamental laser-matter interaction mechanisms for next-generation applications. His recent publications (2023-2025) reveal dominant trends in high-repetition-rate burst-mode lasers (up to 50 GHz), ablation efficiency optimization, and nonlinear laser lithography for 3D silicon structuring. These works demonstrate strong convergence between fundamental physics and industrial applications, particularly in medical surgery, nanofabrication, and materials synthesis, with increasing emphasis on self-organization principles in laser systems. Scientific awards: Turkish Academy of Sciences Outstanding Young Scientist Award (2006) Marie Curie International Reintegration Grant (2006) ERC Consolidator Grant (2014) - Turkey's first ERC Advanced Grant (2022) Election to Academia Europaea Election to Turkish Academy of Sciences Membership in Turkish and American Physical Societies Ilday has secured major competitive grants including two ERC awards and a Marie Curie fellowship, directing research teams at Bilkent University's Ultrafast Optics & Lasers Laboratory (UFOLAB) which developed technologies adopted globally. At RUB, he is establishing the Center for Complex Laser-Matter Interactions as an interdisciplinary hub fostering collaborations between photonics, plasma research, and materials science, with explicit goals for spin-off company formation and transdisciplinary innovation in manufacturing technologies. As founding director of UFOLAB at Bilkent University, Ilday developed laser systems deployed by research institutions worldwide and established Turkey's first laser company. His RUB center integrates electrical engineering and physics expertise to advance complex laser-matter interaction research, focusing on self-organizing laser systems, nanostructuring techniques, and applications in semiconductor manufacturing and medical technology through close industry partnerships.

• Ultrafast Lasers
• Laser-Matter Interactions
• Materials Science
• +۴ مورد دیگر

Brenda Schulman is a Professor and Director of the Molecular Machines and Signaling Pathways department at the Max Planck Institute of Biochemistry in Martinsried, Germany. She also holds an honorary professorship at the Technical University of Munich's Department of Chemistry and serves as Adjunct Faculty at St. Jude Children's Research Hospital in Memphis, TN, USA. Her research focuses on understanding how ubiquitin and ubiquitin-like proteins regulate cellular processes through protein modification. Dr. Schulman's research interests center on structural biology of the ubiquitin-proteasome system and ubiquitin-like proteins. Her work has shown that hundreds of dynamic multiprotein complexes are transiently converted into different conformations by specialized regulatory factors that control ubiquitin and ubiquitin-like proteins, thereby monitoring virtually all processes in cell biology. She combines biochemical reconstitution, structural analysis, enzymology, protein design, cell biology, and genetics to understand how these molecular machines function. Her research has significant implications for understanding diseases such as cancer, neurodegenerative disorders, and viral infections where defects in ubiquitin pathways are implicated. Her extensive publication record demonstrates expertise in ubiquitin signaling, protein degradation mechanisms, structural biology of E3 ligases, and molecular machines. Her work spans from fundamental mechanisms of ubiquitin chain formation to therapeutic applications in targeted protein degradation. Among her numerous scientific accolades are the Feldberg Prize for Anglo-German Scientific Exchange (2025), ERC Advanced Grant (2023), Louis-Jeantet Prize for Medicine (2023), Gottfried Wilhelm Leibniz Prize (2019), and election to the National Academy of Sciences (2014). She has also received the Dorothy Crowfoot Hodgkin Award from The Protein Society and has been an Investigator of the Howard Hughes Medical Institute. Dr. Schulman leads an active research group that has produced numerous high-impact publications in top journals including Nature, Cell, and Nature Structural & Molecular Biology. Her team has made significant contributions to understanding the structural mechanisms of ubiquitin transfer, E3 ligase specificity, and the role of ubiquitin in cellular quality control pathways. Current research in her lab focuses on deciphering the ubiquitin code and developing novel approaches for targeted protein degradation.

• Structural biology
• Ubiquitin-proteasome system
• Ubiquitin-like proteins
• +۵ مورد دیگر

Volker J Schmid is a Professor of Bayesian Imaging and Spatial Statistics at the Department of Statistics, Ludwig Maximilian University of Munich. He leads the Bayesian Imaging and Spatial Statistics group and contributes to interdisciplinary initiatives like the Munich Center of Machine Learning. His work bridges statistical theory with applications in medical imaging and biology. PhD in Statistics (2004), LMU Munich Diploma in Statistics (2000), LMU Munich Abitur, Joseph-von-Fraunhofer-Gymnasium Cham (1993) His research focuses on Bayesian computational methods for high-dimensional data, particularly in medical imaging (MRI, DCE-MRI) and biological microscopy (e.g., 3D nuclear architecture analysis via super-resolution microscopy). Key applications include disease mapping , image segmentation , and spatio-temporal modeling . His software tools (e.g., nucim , bioimagetools , BAMP ) enable quantitative analysis in nuclear imaging and age-period-cohort modeling. His 15 most recent publications span Bayesian modeling for medical imaging , spatio-temporal epidemiology , and computational biology . Topics include co-localization metrics in fluorescence microscopy, nuclear architecture analysis, and dynamic Bayesian frameworks for MRI data. Collaborations extend to neuroimaging, oncology, and nuclear biology.

• Bayesian Statistics
• Spatial Statistics
• Medical Imaging
• +۷ مورد دیگر

Sir David Klenerman is a British biophysical chemist who serves as Professor of Biophysical Chemistry at the University of Cambridge 's Department of Chemistry and is a Fellow of Christ's College, Cambridge . He is internationally recognized for pioneering contributions to next-generation DNA sequencing technology that revolutionized genomics. Education: BA (1982) - Christ's College, University of Cambridge PhD (1986) - Churchill College, University of Cambridge, supervised by Ian William Murison Smith Postdoctoral research - Stanford University as Fulbright Scholar with Richard Zare Research Focus: Professor Klenerman's work bridges fundamental chemistry with transformative biomedical applications. His group pioneered fluorescence-based next-generation DNA sequencing (Solexa/Illumina technology), enabling rapid whole-genome sequencing. He advanced nanopipette-based scanning ion-conductance microscopy for high-resolution live-cell imaging and molecular delivery. Currently, his team applies 3D super-resolution microscopy to study protein misfolding mechanisms in neurodegenerative diseases . Commercial Impact: Co-founded Solexa (1998), later acquired by Illumina for $600 million, and Ionscope (2004) for scanning ion-conductance microscope commercialization. Major Awards: 2024: Canada Gairdner International Award & Novo Nordisk Prize 2022: Breakthrough Prize in Life Sciences 2020: Millennium Technology Prize 2019: Knighted for services to science 2018: Royal Medal from Royal Society 2012: Fellow of the Royal Society (FRS) 2015: Fellow of the Academy of Medical Sciences (FMedSci) 2007: RSC Interdisciplinary Award Laboratory & Teams: Leads the Klenerman Research Group at Cambridge, focusing on single-molecule biophysics and super-resolution imaging technologies.

• Biophysical chemistry
• Next-generation DNA sequencing
• Scanning ion-conductance microscopy
• +۴ مورد دیگر

Dr. Benjamin de Haas is a vision scientist and faculty member at Justus Liebig University Giessen , Germany, within the Department of Psychology and Sports Science . He currently leads the ERC-funded Indivisual project and co-leads project C9 Factors influencing categorical face processing within the Collaborative Research Centre CRC/TRR 135. He is also a principal investigator in the NeurOscientific Workflow Assistance (NOWA) infrastructure project, dedicated to open, reproducible neuroscience. Research Focus Dr. de Haas pursues two intertwined questions: How do early and late stages of visual processing interact—from the initial registration of slanted edges to the recognition of faces? How and why do our perceptions differ from one person to the next? To answer these questions his group combines psychophysics, high-resolution eye-tracking, functional and quantitative MRI, and computational modelling, with a strong emphasis on face perception, individual differences, and naturalistic viewing conditions. Publications Overview Across more than 20 publications since 2016, Dr. de Haas has advanced understanding of individual differences in face processing, gaze control, and visual salience. His work repeatedly appears in Journal of Vision , Nature Communications , PNAS , and NeuroImage , highlighting a sustained focus on eye-movement behaviour, cortical representations of faces and scenes, and methodological best practices in neuroimaging. Current Supervision & Team Dr. de Haas currently supervises two PhD students: Elaheh Akbarifathkouhi Hilal Nizamoglu Together with Dr. Katharina Dobs (co-project leader) and affiliated post-docs and research technicians, the group forms the Indivisual laboratory at Giessen. Contact & Resources Email: Benjamin.de-Haas@psychol.uni-giessen.de Department of Psychology and Sports Science Otto-Behaghel-Str. 10F, 35394 Gießen, Germany

• Visual Perception
• Face Processing
• Individual Differences
• +۳ مورد دیگر

Daniel Braun is a Professor at the University of Tübingen, affiliated with the Faculty of Mathematics and Natural Sciences and the Department of Physics. He holds the Theoretical Physics (Braun Chair) and has been active in academia since October 1, 2013. Email: daniel.braun@uni-tuebingen.de Research Interests: His work bridges quantum optics, metrology, and gravitational physics. He explores quantum-enhanced measurement techniques, nonlinear optical phenomena in curved spacetime, and mechanical systems for fundamental tests of physics. Institutional Affiliation: Institute for Theoretical Physics (ITP) Recent Publications (2025-2024): Focus on quantum-limited interferometry, machine learning applications in quantum channels, gravitational effects in particle accelerators, and nonlinear soliton dynamics in relativistic settings. Scientific Awards: No specific awards mentioned in the provided data.

• Quantum Optics
• Quantum Metrology
• Gravitational Waves
• +۳ مورد دیگر

Prof. Dr. Karin Schumacher is a Professor of Plant Developmental Biology at Heidelberg University and currently serves as Vice-Rector for Quality Development and Sustainability. Her research focuses on plant cell biology, particularly vacuole dynamics, ion homeostasis, and membrane trafficking in Arabidopsis. She leads the Cell Biology Research Group at the Centre for Organismal Studies (COS) and has held leadership roles such as Dean of the Faculty of Biosciences. Her work integrates computational modeling with experimental approaches to study plant growth and stress responses. Dr. Schumacher's academic career includes a Doctorate from the University of Cologne and a Habilitation from the University of Tübingen. She has held professorial positions since 2007 and contributed to advancements in understanding plant membrane systems, including V-ATPase function and calcium signaling. Her research publications emphasize vacuolar ion transport, autophagy mechanisms, and plant stress physiology. Her administrative roles include enhancing early career researcher support and promoting sustainability in university operations. She is an active member of scientific societies like the German Botanical Society and serves on editorial boards such as Plant Cell . Her interdisciplinary work bridges cell biology, molecular genetics, and systems-level plant physiology.

• Cell Biology
• Plant Developmental Biology
• Plant Cell Biology
• +۳ مورد دیگر

Guo Li is affiliated with the Beijing Institute of Technology, School of Management and Economics. Their research spans computer vision, optimization algorithms, signal processing, and machine learning. Collaborations include work on image super-resolution, sensor networks, and energy systems. Publications are distributed across journals like Comput. Electron. Agric. , IEEE Trans. Circuits Syst. , and Entropy . Research interests focus on computational methods for image processing, algorithm design, and interdisciplinary applications in agriculture and energy. Recent work emphasizes lightweight neural network architectures, sparrow search algorithms, and thermodynamic modeling in materials science. Notable contributions include advancements in citrus fruit detection, fatigue life assessment of superalloys, and load forecasting techniques. Active in international conferences such as CVPR, ICC, and NSDI, with a strong publication record since 1998.

• Computer Science
• Electrical Engineering
• Signal Processing
• +۳ مورد دیگر

Prof. Thomas Kuner is a Professor and Director of the Department of Functional Neuroanatomy at the University of Heidelberg's Medical Faculty. He holds a medical degree (MD) from Heidelberg (1998) and completed postdoctoral work at Duke University and the Marine Biological Laboratory. Since 2000, he has led a research group at the Max Planck Institute for Medical Research, followed by habilitation in Physiology (2003) and appointment as Professor of Anatomy and Cell Biology (2006). Research Focus: His work focuses on neuroanatomy, synaptic transmission mechanisms, and pain research. Key projects include investigations into the structural and functional properties of synapses (e.g., calyx of Held), the role of presynaptic proteins like Mover, and the molecular basis of pain signaling via the SFB 1158 consortium. His lab uses advanced imaging techniques (e.g., STED microscopy) and genetic models to study neuronal circuits and synaptic plasticity. Funding & Collaborations: Kuner's research is supported by grants from the DFG (e.g., SFB 1158), the Baden-Württemberg Foundation, and other national/international bodies. His interdisciplinary approach bridges cellular neuroscience, molecular biology, and clinical applications in pain management. Teaching & Leadership: He oversees the Institute of Anatomy and Cell Biology, contributing to graduate programs in medical education and anatomy. His team includes postdocs and technicians, with collaborations extending to imaging technology development and medical education innovation.

• Neuroscience
• Neurophysiology
• Pain Research
• +۳ مورد دیگر