جست‌وجوی استاد و پژوهشگر

• Computer Science
• Electrical Engineering
• Robotics
• +۷ مورد دیگر

Pengfei Li is a prolific researcher affiliated with multiple academic institutions, including Harbin Medical University, Yale University, Beihang University, Zhejiang University, and others. His work spans interdisciplinary domains such as machine learning, robotics, remote sensing, and biomedical engineering. Research interests focus on Machine learning and deep learning for industrial and medical applications Signal processing and sensor technologies Remote sensing and geospatial data analysis Robotic control systems and exoskeleton design Code search and software engineering optimization His recent publications highlight trends in FPGA-based real-time systems, multimodal machine learning, and AI-driven diagnostics. While awards and student advising details are absent in the provided data, his contributions to IEEE journals and conferences underscore his expertise in algorithm design and applied informatics.

Chang-Hoon Choiمشاهده پروفایل

پژوهشگر

• Magnetic Resonance Imaging (MRI)
• Magnetic Resonance Spectroscopy (MRS)
• Ultra-High Field MRI
• +۸ مورد دیگر

Dr. Chang-Hoon Choi is a researcher at the Institute of Neurosciences and Medicine (INM) , Forschungszentrum Jülich GmbH, Germany, with a focus on Medical Imaging Physics (INM-4) . His work bridges Magnetic Resonance Imaging (MRI) , PET-MRI hybrid systems , and RF coil instrumentation for neuroscience applications. Research Highlights: Development of double-tuned coils for 1H/X-nuclei imaging, ultra-high field MRI systems , and MR-PET hybrid technologies . Technical Expertise: Specializes in RF antenna arrays , signal optimization , and multinuclear MRI/MRS for brain studies. Key Article Trends : Over 15 recent publications emphasize coil design innovations (e.g., butterfly, dipole, and birdcage coils), hybrid MR-PET/SPECT systems , and neurochemical dynamics via tDCS-MRS integration and phosphorus/sodium imaging . Methodological advances include free water elimination in diffusion MRI , quantum filtering , and shielding techniques for UHF-MR systems . Applications : His work targets stroke , epilepsy , brain tumors , and neuroplasticity studies using preclinical animal models (rat, chick embryo) and translational hardware (e.g., 9.4T systems).

• Medical Imaging
• Neuroscience
• Radiology
• +۳ مورد دیگر

Dr. Christoph Lerche is a researcher at the Institute of Neuroscience and Medicine (INM) , specifically in the Physics of Medical Imaging (INM-4) department at Forschungszentrum Jülich GmbH . His research focuses on advanced medical imaging technologies, particularly positron emission tomography (PET) and hybrid imaging systems like PET-MRI. Key areas include improving PET detector design, developing novel reconstruction algorithms, and applying these techniques to neurodegenerative diseases (e.g., Alzheimer’s) and oncology (e.g., glioma diagnosis). His work emphasizes interdisciplinary collaborations, such as optimizing BrainPET insert compatibility with ultra-high field (UHF) MRI systems and analyzing sleep-related effects on synaptic density. He contributes to clinical applications, such as distinguishing glioma relapse from treatment effects using FET PET radiomics, and advancing multimodal imaging (e.g., simultaneous PET/MR/EEG). Notable projects include enhancing dead-time correction for accurate BrainPET quantification, designing dipole antenna arrays for hybrid systems, and developing photon-counting CT-based PET attenuation maps. His innovations aim to bridge gaps between imaging hardware, data processing, and clinical neuroscience.

Sabine Zinnمشاهده پروفایل

استاد

• Computational Social Science
• Survey Methodology
• Data Science
• +۶ مورد دیگر

Sabine Zinn serves as Director of the Socio-Economic Panel (SOEP) at DIW Berlin since 2022 and holds a W3 Professorship in Social Science Methods at Humboldt University of Berlin since 2020. She leads one of Germany's most significant longitudinal social surveys while advancing computational methodologies at the university. Her dual roles bridge academic research with policy-relevant social analysis through DIW Berlin's institutional framework. Zinn's academic journey includes: Doctorate in Modeling and Simulation (2011) from University of Rostock's Faculty of Electrical Engineering and Computer Science Habilitation in Survey Statistics and Demography (2019) from University of Bamberg Studies in Business Mathematics at University of Jena Her research centers on computational social science with emphases on survey methodology, data science, and demographic analysis. She investigates migration flows, educational trajectories, and health outcomes using advanced statistical techniques including Bayesian modeling and microsimulation. Her work on nonresponse mechanisms in longitudinal surveys has established new methodological standards for population studies. Recent publications (2022-2025) demonstrate her focus on refugee survey methodology, nonprobability sampling validation, and microsimulation applications. She has pioneered innovative approaches for studying Ukrainian refugees in Germany through the IAB-BAMF-SOEP project, developing specialized sampling frameworks and weighting techniques that address hard-to-reach populations. Her article trends reveal consistent integration of machine learning with traditional survey methods. Zinn directs substantial research funding through DIW Berlin projects including ENTAILab and the German Social Cohesion Panel. She serves on multiple national and international advisory boards influencing survey methodology standards, though no formal student advisement is documented. Her leadership in projects like the IAB-BAMF-SOEP Survey of Refugees demonstrates significant grant management capacity. As SOEP Director, Zinn oversees Germany's premier household panel study infrastructure. She leads the ENTAILab research innovation lab and contributes to the RKI Panel's methodological development. Her teams specialize in cutting-edge data collection techniques including video-interviewing integration and respondent-driven sampling to enhance population diversity in surveys, particularly for migration research contexts.

Tim M. Schwarzمشاهده پروفایل

پژوهشگر ارشد

• Corrosion Science
• Materials Science
• Bioresorbable Implants
• +۴ مورد دیگر

Dr. Tim M. Schwarz is a Research Fellow and Group Leader at the Max Planck Institute for Sustainable Materials, where he leads the 'Interfacial Processes/Reactions at the Atomic Scale' research group. He holds a Walter-Benjamin position funded by the German Research Foundation (DFG). His work focuses on understanding corrosion mechanisms at liquid-solid interfaces using advanced techniques like cryo-atom probe tomography. Key areas include magnesium alloys for bioresorbable implants, battery materials, and infrastructure steel durability. He has been awarded the Walter Benjamin Prize (2024), Otto Hahn Medal (2025), and Erwin Müller Prize for his contributions to materials characterization. Education: Ph.D. in Materials Science, RWTH Aachen University (2021–2024) M.Sc. in Materials Science, University of Stuttgart (2018–2021) B.Sc. in Materials Science, University of Stuttgart (2013–2018) Research Interests: His group investigates interfacial reactions in structural, energy, and functional materials, with a focus on corrosion processes, alloy design, and sustainable materials. Recent studies include magnesium alloy degradation, bioresorbable implants, and cryo-atom probe tomography for liquid-solid interface analysis. Grants & Collaborations: His DFG-funded research group collaborates with ETH Zurich on iron corrosion and infrastructure materials. Projects aim to develop corrosion-resistant materials and improve atom probe methodologies for biological and engineering applications. Awards: Walter Benjamin Prize (2024) Otto Hahn Medal (2025) Erwin Müller Prize Outstanding Paper Award 2024

• Land surface processes in the Arctic
• Modeling permafrost landscape dynamics
• Thermal remote sensing
• +۳ مورد دیگر

Dr. Moritz Langer is a Researcher at the Alfred Wegener Institute (AWI), specializing in permafrost research. His work focuses on land surface processes in the Arctic, modeling permafrost landscape dynamics, and thermal remote sensing. He leads the BMBF Young Investigator Group PermaRisk, which assesses erosion processes in permafrost landscapes under climate change, evaluating risks to ecosystems and infrastructure in the Arctic. His research integrates field observations, remote sensing, and numerical modeling to understand permafrost degradation mechanisms. Key projects include studies on thermokarst patterns, ice-rich permafrost response to warming, and the thermal regime of Arctic rock walls. Langer’s contributions span over 200 publications, emphasizing interdisciplinary approaches to climate change impacts on permafrost regions. Langer collaborates with international teams and utilizes advanced technologies like satellite imagery, terrestrial laser scanning, and eddy covariance systems. His work addresses critical challenges such as thaw subsidence, methane emissions from frozen ponds, and the vulnerability of Arctic infrastructure to permafrost thaw.

• Soil Ecology
• Water Resources
• Environmental Science
• +۴ مورد دیگر

Dr. Holger Rupp is a Researcher at the Department of Soil Systems Research , Helmholtz Centre for Environmental Research - UFZ , with a career spanning since 1979. His work focuses on soil-water interactions, nutrient dynamics, and environmental pollution assessment. Research Focus: Investigations into water and substance balance of soils, wetland substance dynamics, and diffuse-source water pollution. He contributes to projects like ReKKS (2017-2020), optimizing water supply through soil management in Kazakhstan and Siberia, and the systemic soil model BODIUM for simulating soil functions. Soil hydrological modeling Nutrient leaching analysis Floodplain contamination studies Climate change adaptation in agriculture Publications highlight his expertise in nitrogen/phosphorus leaching, lysimeter methodology, and soil structure dynamics. He collaborates with institutions including Martin Luther University Halle-Wittenberg, Leibniz University Hannover, and Amazonen-Werke. Education: Diploma in land reclamation engineering (University of Rostock, 1983), followed by a PhD (1987). His career includes roles at GKSS Research Centre (1993-1995) before transferring to UFZ in 1995.

Motagh M.مشاهده پروفایل

پژوهشگر

• Remote Sensing
• Geodesy
• Seismology
• +۳ مورد دیگر

Motagh M. is a Researcher at the Deutsches GeoForschungsZentrum (GFZ) in Potsdam, Germany. With expertise in Remote Sensing and Geodesy , their work focuses on geohazard assessment through satellite-based interferometric techniques. Current research explores land subsidence in Afghanistan and Iran using Sentinel-1 data Developing hybrid machine learning models for landslide susceptibility assessment Pioneering quantum machine learning applications in deformation detection Investigating mining-induced subsidence in Germany's Hambach region Contributing to multi-sensor InSAR integration for complex geological analysis Publications since 2011 demonstrate sustained contributions to: Earthquake source modeling (e.g., Christchurch 2011, Maule Chile 2010) Volcanic deformation studies in Iceland Environmental geoscience applications across three continents Collaborations span institutions in: New Zealand (University of Canterbury, GNS Science) Iran (University of Tehran, K. N. Toosi University) Germany (GFZ Potsdam, Technical University Munich) USA (University of Miami)

• Climate Dynamics
• Physical Oceanography
• Arctic Studies
• +۳ مورد دیگر

Dr. Dmitry Sidorenko is a Researcher in Climate Dynamics at the Alfred Wegener Institute, focusing on high-resolution ocean modeling, Arctic Ocean dynamics, and the Atlantic Meridional Overturning Circulation (AMOC). His work emphasizes understanding climate change impacts through advanced simulations using models like FESOM2 and IFS. Research interests include eddy-resolving ocean simulations, AMOC variability, and the effects of freshwater forcing on climate systems. He contributes to projects such as nextGEMS, advancing kilometer-scale Earth system modeling. His studies address Arctic sea ice decline, Antarctic basal melt thresholds, and the role of mesoscale eddies in ocean circulation. Key projects involve coupled ocean-atmosphere models, data assimilation techniques, and improving model resolution to capture subgrid-scale processes. His work bridges climate projections with real-world observations, informing global climate policy and scientific understanding.

• Robotics
• Human-Robot Interaction
• Swarm Robotics
• +۵ مورد دیگر

Michael A. Goodrich is a Professor in the Department of Computer Science at Brigham Young University, with an extensive research career spanning over two decades in robotics, human-robot interaction, and swarm intelligence. His work bridges theoretical foundations with practical applications, particularly in autonomous systems and multi-agent coordination. His research interests focus on Robotics , Human-Robot Interaction , Swarm Robotics , Artificial Intelligence , and Autonomous Systems . Goodrich's work explores how humans and robots can effectively collaborate, with particular emphasis on proficiency assessment, resilience, and communication in human-robot teams. His research has significant applications in search and rescue operations, swarm robotics, and autism therapy. Analysis of his recent publications reveals a strong focus on robot self-assessment capabilities, swarm behavior optimization, and resilience in multi-agent systems. His work increasingly integrates formal methods with practical robotics applications, creating frameworks for robots that can assess their own capabilities and communicate this information effectively to human teammates. Among his notable contributions are frameworks for robot proficiency self-assessment using assumption-alignment tracking, methods for designing resilient swarm behaviors, and formalizations of resilience for goal-oriented agents. His work has been published consistently in top venues including IEEE Transactions on Robotics, ACM Transactions on Human-Robot Interaction, and International Journal of Robotics Research. Dr. Goodrich has advised numerous students who have become active researchers in the field, including Aadesh Neupane, Daqing Yi, Xuan Cao, and Puneet Jain. His collaborative work spans multiple institutions and has practical applications in wilderness search and rescue, autism therapy, and multi-robot coordination systems.

Armin Iskeمشاهده پروفایل

استاد

• Numerical Approximation
• Applied Mathematics
• Kernel Methods
• +۴ مورد دیگر

Prof. Dr. Armin Iske is a Full Professor of Numerical Approximation at the University of Hamburg's Department of Mathematics, within the Faculty of Mathematics, Computer Science and Natural Sciences. He holds a PhD from the University of Göttingen (1994) and habilitation from TU Munich (2002). His research focuses on numerical approximation, kernel-based methods, computational fluid dynamics, and medical imaging. He has held academic positions globally, including visiting roles at ANU (Australia) and the University of Leicester (UK). Research interests include scattered data approximation, adaptive particle methods for flow simulation, and high-dimensional data analysis. He has authored 118+ publications, including works on kernel interpolation, medical imaging reconstruction, and machine learning applications. He serves on editorial boards for journals like Advances in Computational Mathematics and Sampling Theory . His contributions span interdisciplinary projects, such as SFB/TRR 181 on energy transfer in atmosphere and ocean, and collaborations in nanotechnology for brain interfaces. His work bridges theoretical mathematics with practical applications in engineering and biosciences.

Giuseppe Sansoneمشاهده پروفایل

استاد

• Attosecond Spectroscopy
• Ultrafast Molecular Dynamics
• Free-Electron Lasers
• +۴ مورد دیگر

Giuseppe Sansone is a full professor of experimental physics at the University of Freiburg, leading the Attosecond and Strong Field Physics group. He holds an Internal Senior Fellow position (Sep 2024–Apr 2025) and previously held postdoctoral fellowships at RIKEN (Japan) and the Max-Planck-Institute (Germany). His work focuses on attosecond metrology at free-electron lasers and ultrafast molecular dynamics using coincidence spectroscopy. Key contributions include the development of the Extreme Light Infrastructure Attosecond Light Pulse Source (ELI-ALPS) in Hungary. His research spans attosecond pulse characterization, quantum control in extreme UV domains, and coherent control mechanisms in molecular systems. Education: PhD in Physics (2004, Politecnico Milano), career progression from assistant to associate professor at Politecnico Milano before joining Freiburg in 2016. Research interests include: attosecond temporal structure analysis, nonlinear XUV applications, wave-packet manipulation in Rydberg states, and femtosecond polarization shaping. His experimental setups leverage seeded free-electron lasers and advanced spectroscopic techniques. Publications highlight advancements in photoelectron interferometry, resonance dynamics, and ultrafast nuclear motion studies. His work bridges atomic/molecular physics with cutting-edge laser technologies. Awards: JSPS Short-Term Postdoc Fellowship (2007), Alexander von Humboldt Fellowship (2009-2010). Lab leadership: Director of the Attosecond and Strong Field Physics group at Freiburg, contributing to ELI-ALPS infrastructure development. His team focuses on time-resolved XUV-IR coincidence spectroscopy and novel attosecond timing tools.

Raphaela Vogelمشاهده پروفایل

استاد

• Cloud Dynamics
• Climate Modeling
• Atmospheric Processes
• +۳ مورد دیگر

Overview Prof. Dr. Raphaela Vogel is a tenure-track professor (W2) at the University of Hamburg's Meteorological Institute, part of the Department of Earth System Sciences. She leads research on cloud dynamics, convective processes, and climate feedbacks, with a focus on rain evaporation and cold pool effects. She received an ERC Starting Grant (2023) to study rain evaporation's climatic impacts. Educational Background B.Sc. Environmental Sciences (ETH Zurich & University of Edinburgh, 2010) M.Sc. Atmospheric and Climate Science (ETH Zurich, 2013) PhD in Meteorology (Max Planck Institute for Meteorology, Hamburg, 2017) Research Interests Her work combines observations, simulations, and conceptual models to study cloud responses to environmental changes. Key areas include: Evaporation of raindrops and cold pool dynamics Mesoscale convective organization Climate feedbacks of trade-wind cumulus clouds Improving climate models via Supertropfen approaches Publications & Projects Recent work highlights include a 2022 Nature paper on weak trade cumulus feedback and leadership in the ORCESTRA field campaign. She co-leads the Cold Pool Model Intercomparison Project (CP-MIP) and is PI of the SCORE project. Awards & Grants ERC Starting Grant (2023) for the ROTOЯ project, valued at €1.5M. Recognized as a climate physics editor for Atmospheric Chemistry and Physics. Teaching & Supervision Teaches courses on meteorology and tropical cloud systems. Supervises 9 current PhD/MSc students and postdocs, including projects on cold pools and precipitation dynamics. Labs & Collaborations Part of the University of Hamburg's Clouds and Convection research group and affiliated with the Centrum für Erdsystemforschung und Nachhaltigkeit (CEN). Collaborates with Barbados Cloud Observatory and international modeling initiatives.

• Geovisualization
• Geographic Information Systems
• Uncertainty Visualization
• +۵ مورد دیگر

Jochen Schiewe is a Researcher specializing in geovisualization, GIS, and spatial uncertainty analysis, with a career spanning over two decades. His work bridges cartography, urban planning, and computational methods. Key Affiliations: University of Hanover (PhD), ISPRS community, EuroVA workshop Research Focus: Geovisualization techniques, uncertainty quantification, smart cities, and historical map analysis His 2024 publication introduces agent-based approaches for preserving spatial patterns in urban data. Earlier works examine sound maps for data representation, land cover change analysis, and interactive GIS for public participation. Schiewe's scholarly contributions emphasize human-computer interaction and cognitive aspects of mapping . He has served as editor for special issues on smart city solutions and collaborated with leading experts in GIS and visualization.

• Virtual Reality
• Augmented Reality
• Educational Technology
• +۷ مورد دیگر

Roghayeh Barmaki is a researcher with extensive publications in virtual reality, augmented reality, and educational technology. Her work spans rehabilitation systems, autism therapy, and neuroimaging analysis using fNIRS. She collaborates with institutions including Georgia Institute of Technology and University of Florida. Key Collaborators : Anjana Bhat, Jicheng Li, Shayla Sharmin, Vuthea Chheang Research Themes : Wearable sensors, LSL framework, movement synchrony, multimodal learning analytics Research Interests She focuses on immersive technologies for education and therapy, with expertise in: Functional Near-Infrared Spectroscopy (fNIRS) for cognitive engagement Wearable sensor integration in rehabilitation Gender perspectives in AR/VR education Multimodal affect analysis for autism Privacy-preserving behavioral analytics 3D visualization for anatomy training Publication Trends Recent work emphasizes fNIRS applications in gaming environments and hybrid deep learning models for cognitive analysis. Earlier studies focused on gesture recognition, movement synchrony estimation, and autism intervention datasets. Impactful Projects She developed the MMASD dataset for autism research and contributed to VR therapy systems. Her collaborations include: Georgia Tech's Autism Technology Research University of Florida's TeachLivE virtual classroom Germany's AIxVR conference contributions International collaborations on sensor systems