جست‌وجوی استاد و پژوهشگر

• Particle Physics
• Accelerator Physics
• Nuclear Physics
• +۳ مورد دیگر

Dr. Ralf Gebel is a researcher at the Institute of Nuclear Physics (IKP) at Forschungszentrum Jülich. His work focuses on accelerator physics, storage ring technology, and neutron source development. He is actively involved in the High Brilliance Neutron Source (HBS) project and operates within the Cooler Synchrotron COSY facility. Key research areas include beam dynamics optimization, spin physics, and precision experiments for electric dipole moment (EDM) measurements. Dr. Gebel contributes to advancements in ion source design, proton beam polarization techniques, and machine learning-driven accelerator optimization. His technical expertise spans beamline design for neutron production, development of RF spin rotators, and feedback systems for maintaining resonance conditions in storage rings. Recent efforts include the implementation of reinforcement learning for injection optimization and the first tests of polarized ion sources for future storage ring experiments. Dr. Gebel's work bridges fundamental physics research with applied accelerator technology, supporting both academic investigations and industrial applications in neutron science. He collaborates on projects such as the HBS neutron facility and ELENA ion source development, contributing to next-generation particle physics infrastructure. His research frequently intersects with medical radionuclide production and radiation effects testing using GeV proton beams.

• Neuroimaging
• MRI Segmentation
• Brain Structure Analysis
• +۵ مورد دیگر

Dr. Pierre-Louis Bazin is a Researcher in the Department of Neurophysics at the Max Planck Institute for Human Cognitive and Brain Sciences. He holds a PhD from INRIA Rocquencourt (France) and conducted postdoctoral research at Brown University and Johns Hopkins University in the US. His work focuses on advanced neuroimaging techniques, including high-resolution MRI parcellation, quantitative MRI, and subcortical structure analysis. Key projects involve developing automated segmentation tools (e.g., Nighres), exploring cerebellar and subcortical anatomy, and investigating neurodegenerative markers using multi-modal approaches. Education 1995-1998: Electrical Engineering Diploma, SUPELEC (France) 1998-2001: PhD in Computer Vision & Graphics, INRIA Rocquencourt (France) 2001-2003: Postdoc in Computer Vision & Archaeology, Brown University (USA) 2003-2006: Postdoc in Neuroimaging, Johns Hopkins University (USA) Research Interests High-field MRI (7T+) applications in structural and functional brain mapping Development of neuroimaging software tools (e.g., Nighres) Subcortical and cerebellar morphometry in health and disease Quantitative MRI techniques for histology correlation Connectivity analysis in psychiatric disorders (e.g., schizophrenia) Awards Royal Netherlands Academy of Arts and Sciences (KNAW) membership (2020, 2024) Grants & Labs : Directs the Neurophysics lab at MPI-CBS. Active in large-scale projects like the Amsterdam Ultra-high field adult lifespan database (AHEAD). Collaborates on tools like MP2RAGEME for multi-parametric MRI. Labs/Teams : Leads neuroimaging method development and clinical translation efforts in Leipzig, Germany.

Sven Langeمشاهده پروفایل

پژوهشگر

• Sensor Fusion
• Simultaneous Localization and Mapping (SLAM)
• Mobile Robotics
• +۵ مورد دیگر

Dr.-Ing. Sven Lange is a post-doctoral researcher at Technische Universität Chemnitz (TU Chemnitz), affiliated with the Chair of Automation Technology and the Chair of Neurorobotics. His work spans research, education, and project management in robotics. Research interests include: Factor-graph optimization for SLAM and sensor fusion Nonlinear least squares methods in robotics Robust navigation for autonomous systems GNSS signal processing in urban environments Educational robot design for undergraduate courses Integration of multi-modal error models in state estimation Key publication trends focus on factor graphs, outlier mitigation, and sensor fusion techniques for UAVs, GNSS, and indoor navigation. His work emphasizes parameter-free algorithms and open-source implementations. Projects include DLR SpaceBot Cup robotics, smartLoc GNSS navigation, and TUC-Bot educational platforms. He has contributed to sensor fusion frameworks for Ceres and GTSAM solvers.

• Embedded Systems
• Signal Processing
• Biomedical Information Technology
• +۱ مورد دیگر

Matthias Müller is a researcher affiliated with the Faculty of Engineering at HTWK Leipzig, specifically associated with the Chair of Embedded Systems and Signal Processing led by Prof. Dr.-Ing. Gerold Bausch. He is based at the Eilenburger Straße Campus in room CE30, contributing to the Institute of Electronics and Biomedical Information Technology (EBIT). University: HTWK Leipzig School: Faculty of Engineering Institute: EBIT (Institute of Electronics and Biomedical Information Technology) Chair: Embedded Systems and Signal Processing His research interests align with the institute's focus areas, including biomedical applications of electronic systems and advanced signal processing techniques. Contact details include email: matthias.mueller@htwk-leipzig.de and office location: Eilenburger Straße 13, 04317 Leipzig.

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

• Bioacoustics
• Bird Conservation
• Ecology
• +۳ مورد دیگر

Dr. Olaf Jahn is a Research Associate at the Museum of Natural History Leibniz Institute for Evolution and Biodiversity Research in Berlin, Germany. His work focuses on bioacoustic methods for biodiversity monitoring through the AMMOD project (Automated Multisensor Stations for Monitoring of Biodiversity) as part of Module 5: Automated Bioacoustic Monitoring. Research Focus: Bioacoustics, rapid detection of bird communities, ecological monitoring, and conservation biology Key Tools: Automated sound recognition systems, spectrogram analysis, temporal contextual integration algorithms His research spans tropical avian ecology in regions like Ecuador's Chocó forest while developing cutting-edge signal processing approaches for acoustic monitoring. Jahn's work bridges classical field biology with modern computational methods, creating robust tools for real-world biodiversity assessment. Through publications in journals like PLOS One, Applied Acoustics, and Expert Systems with Applications, he has advanced automated bird identification techniques using: Morphological filtering of spectrograms Temporal contextual information integration Direction of arrival estimation with microphone arrays Robust frame selection for audio parameterization Acoustic detection of endangered species

Svenja Papenmeierمشاهده پروفایل

پژوهشگر

• Marine Geology
• Sediment Dynamics
• Hydroacoustic Habitat Mapping
• +۴ مورد دیگر

Dr. Svenja Papenmeier is a Researcher in the Marine Geophysics Working Group at the Leibniz Institute for Baltic Sea Research Warnemünde . She previously worked at the Alfred Wegener Institute (2012–2019) and the Christian-Albrechts-University of Kiel (2008–2012). She holds a PhD in Marine Geology from Kiel University, a Master’s in Marine Geosciences from the University of Bremen, and a Bachelor’s in Geosciences from the same institution. Research Focus: Hydroacoustic habitat mapping in the North Sea, Baltic Sea, and Siberian Arctic Development of seabed mapping standards (BSH No: 7201) Automated stone/boulder detection in acoustic datasets using neural networks Paleogeographic evolution of the Elbe River valley and Sylt Outer Reef Long-term analysis of dynamic bedforms and sediment distribution Scientific Contributions: Published 15+ peer-reviewed articles on marine sedimentology, AI applications in acoustic data, and coastal dynamics Key projects: OTC Stone (BMBF-funded), DAM CREATE , LABS , PaleoElbe , AMIN Regular presenter at international conferences (GeoHab, EGU, AGU) on topics like AI-based habitat mapping and sediment dynamics

Thomas Bonseمشاهده پروفایل

استاد

• Media Engineering
• Video Signal Processing
• High Dynamic Range (HDR) Imaging
• +۳ مورد دیگر

Prof. Dr.-Ing. Thomas Bonse is a Professor in the field of Bildtechnik (Image Technology) at the Hochschule Düsseldorf (University of Applied Sciences Düsseldorf), Faculty of Media since 2000. His career includes roles as project leader at ITK Telekommunikation AG , group leader at the Forschungsinstitut für Telekommunikation , and R&D engineer at Grass Valley and Panasonic in the domain of advanced TV systems. Education: Diplom-Ingenieur (Dipl.-Ing.) and Doctorate (Dr.-Ing.) in Electrical Engineering from the University of Dortmund. Current Role: Teaching and research in image technology, supervising 15+ theses annually, and leading projects in HDR, broadcast workflows, and real-time video systems. His research focuses on media engineering , particularly in high dynamic range (HDR) imaging , video signal processing , and real-time broadcast systems . Key areas include: Quantisierung von Videoformaten ACES color workflow optimization Wireless video transmission AI-driven object detection IP-based broadcast infrastructures Photovoltaic soiling measurement via drones Recent research trends show emphasis on IP-based video transmission (2016-2023), HDR/SDR workflows (2021-2023), and automated studio systems (2018-2023). He has collaborated with institutions like the Institut für Rundfunktechnik (IRT) , Sportcast GmbH , and Ericsson . As a supervisor, he has guided students in: Automated camera control (Scheunert, 2020) Photovoltaic soiling detection (Mikulaschek/Scheunert, 2020) Sports broadcasting analytics (Mikulaschek, 2022) LED studio lighting systems (2023) Contact: thomas.bonse@hs-duesseldorf.de | Room 04.2.006, HSD Campus

• Wireless Communication
• Multi-User MIMO Systems
• Massive MIMO
• +۷ مورد دیگر

Abdullah Yaqot (born October 7, 1980) is a researcher in wireless communication systems, currently affiliated with the Technical University of Lübeck since 2021. His work focuses on the physical layer of communication systems, with expertise in multi-user MIMO, massive MIMO, cognitive radio, and deep learning for wireless optimization. PhD in Digital Communication (University of Kiel, 2017) Research experience at the Institute for Automation and Communication (ifak, 2019-2020) His research encompasses adaptive precoding, resource allocation, channel estimation, and interference management. Recent publications highlight the integration of deep learning techniques (e.g., attention-based networks, complex neural networks) to enhance spectral efficiency and throughput in industrial IoT and MIMO systems. Selected publications cover topics like hierarchical lossless segmentation for image compression (2022), multicell interference mitigation in massive MIMO (2020), and cognitive radio resource allocation (2014). Collaborations include D. Sun, Y. Xi, H. Hellbrück, and L. Rauchhaupt. Published in journals: IEEE Wireless Communication Letters, Neural Computing and Applications Conference contributions: IEEE ICCC, VTC, WCNC, SAS

• Quantitative Proteomics
• DNA Damage Response
• Ubiquitylation
• +۷ مورد دیگر

Petra Beli is a Professor for Quantitative Proteomics at the Institute of Molecular Biology (IMB) and Johannes Gutenberg University Mainz (JGU Mainz) , focusing on proteomic analysis of post-translational modifications in DNA damage response and bacterial protein acetylation. Her work spans... Research Themes: Ubiquitylation dynamics, lysine acetylation mechanisms, autophagy regulation, DNA repair pathways, and bacterial proteomic adaptations. Institutions: IMB (Mainz) and JGU Mainz (Germany). Email: petra.beli@imb-mainz.de Research Overview: Dr. Beli's studies leverage mass spectrometry to map ubiquitylation and acetylation sites, revealing their roles in DNA damage signaling, selective autophagy, and bacterial metabolic regulation. Her 2024 work on bacterial lysine acetylation highlights its evolutionary conservation and functional impact. Article Trends: She has published extensively on ubiquitin-mediated DNA repair (2012–2018), bacterial acetylation (2011–2019), and autophagy (2021). Recent work (2024) expands on bacterial protein acetylation mechanisms and therapeutic implications.

• Computer Science
• Sensor Networks
• Robotics
• +۵ مورد دیگر

Ákos Lédeczi is a prolific researcher with significant contributions to computer science, sensor networks, robotics, and K-12 education. His work spans hardware-software co-design, wireless localization, and accessible programming environments. Co-developed NetsBlox and DeepForge for novice-friendly distributed computing. Created PinPtr high-precision GPS cloud service and inTrack mobile node tracking systems. Pioneered Browser-based robotics simulation and smartphone IoT education for K-12 students. Explored RF interferometry , Doppler shift tracking , and acoustic shooter localization in urban environments. Contributed to medical capsule robot design and security co-design for embedded systems. His recent focus includes project-based AI curricula for female high school students and collaborative visual programming environments . While specific university affiliations aren't detailed here, his collaborations with Péter Völgyesi, Miklós Maróti, and others highlight his role in advancing distributed and sensor network research.

• Molecular Cell Biophysics
• Membrane Pore Formation
• Regulated Cell Death
• +۹ مورد دیگر

Katia Cosentino is a Junior Professor (equivalent to Assistant Professor) in the Department of Biology at Osnabrück University, where she leads the research group Molecular Cell Biophysics . Her work bridges molecular biophysics and cell biology, focusing on the mechanisms of regulated cell death, particularly pyroptosis and apoptosis, through the lens of pore-forming proteins (PFPs). Her research centers on the spatio-temporal assembly of Gasdermin pores during pyroptosis, how membrane environment modulates pore formation , and the crosstalk between apoptosis and pyroptosis . She investigates how these processes influence cell death outcomes, with relevance to disease mechanisms in cancer, neurodegeneration, and immune disorders. The recent publications highlight a strong focus on Gasdermin D (GSDMD) regulation via palmitoylation and membrane targeting, as well as the interplay between BAX/BAK in apoptotic pore dynamics and inflammation. These works reflect a consistent theme in membrane biophysics, protein-lipid interactions, and cell death signaling , employing cutting-edge techniques like single-molecule imaging and super-resolution microscopy. While no scientific awards are listed in the provided text, her research is published in high-impact journals such as The EMBO Journal and Molecular Cell , indicating strong recognition in the field. There is no information available about student advising or external grants. Her lab utilizes advanced model systems including artificial membranes (liposomes, nanodiscs), mammalian cells expressing PFPs, and isolated organelles, combined with methods like fluorescence imaging, atomic force microscopy, and stoichiometric analysis of protein complexes.

Michael Tiemannمشاهده پروفایل

استاد

• Materials Science
• Nanotechnology
• Inorganic Chemistry
• +۷ مورد دیگر

Professor Michael Tiemann holds the Chair of Inorganic Functional Materials at the University of Paderborn within the Faculty of Science, Department of Chemistry. He leads the Research Group Tiemann focusing on the development of nano- and microstructured solids for various applications. His research interests span across Materials Science, Nanotechnology, and Inorganic Chemistry with specialization in Porous Materials, Metal-Organic Frameworks (MOFs), and Gas Sensing technologies. The research group develops functional materials for sustainable energy concepts including CO₂-neutral electricity generation, efficient energy storage, and energy consumption reduction solutions. The group's publications reveal strong trends in nanoporous materials research, particularly Metal-Organic Frameworks and metal oxide-based sensors. Recent work focuses on oxygen sensing using zinc tin oxide photoluminescence, water sorption in CPO-27 frameworks, and gas sensing applications with nanoporous indium oxide. The research combines fundamental material science with practical applications in energy and sensing technologies. Professor Tiemann's laboratory is well-equipped with advanced instrumentation including FT-IR spectroscopy, UV/VIS spectroscopy, fluorescence spectroscopy, physisorption systems, mercury porosimetry, TGA, PXRD, DLS, gas mixers, dip coaters, spin coaters, and impedance spectroscopy equipment, enabling comprehensive materials characterization and development. The research group actively recruits PhD students, postdoctoral researchers, and student assistants, offering opportunities for Bachelor's and Master's theses in the field of inorganic functional materials.

• Cyber-Physical Systems
• Industry 4.0
• Building Automation
• +۴ مورد دیگر

Prof. Dr.-Ing. Dipl.-Wirt. Ing. Diethelm Bienhaus is a faculty member at the Faculty of Information Technology (MNI) at Technische Hochschule Mittelhessen . His academic focus spans Cyber-Physical Systems , Industry 4.0 , and Assistive Technologies , with long-term projects in building automation and age-appropriate assistance systems. Research Interests: Cybersecurity for industrial systems, robotics, embedded systems, and human-computer interaction. Committee Roles: Member of the MNI Department Council, Head of Curriculum Development for Computer Engineering, and Chair of multiple appointment committees. Funded Projects: Led initiatives in secure digitalized healthcare production, dendrochronological analysis automation, and industrial connectivity platforms. Email: diethelm.bienhaus@mni.thm.de

Dennis Nielingerمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Cryogenic Electronics
• Qubit Control Systems
• +۳ مورد دیگر

Dennis Nielinger serves as a Scientific Coordinator at Forschungszentrum Jülich's Peter Grünberg Institute (PGI), specifically within the Integrated Computing Architectures (PGI-4) department. His role focuses on advancing quantum computing hardware development and measurement system optimization at one of Europe's leading research centers. His research spans quantum computing , cryogenic electronics , and measurement process optimization . He leads two critical research groups: the Cryogenic Qubit Readout and Control group developing ultra-low-temperature qubit interfaces, and the Measurement Process Optimization group enhancing precision in quantum measurements. His work addresses fundamental challenges in signal integrity, noise reduction, and system integration for scalable quantum processors. Nielinger's teams operate at the intersection of quantum physics and engineering, developing specialized hardware architectures for quantum computing systems. Their research directly tackles bottlenecks in qubit control fidelity and measurement accuracy at cryogenic temperatures, contributing to practical quantum computer development through innovative integrated circuit solutions.