Find Academic Supervisors

• Stochastic Geometry
• Spatial Statistics
• Image Analysis
• +3 more

Claudia Redenbach is a Professor and Dean of Mathematics at RPTU Kaiserslautern, Germany. She is affiliated with the Department of Mathematics and leads the Statistics Working Group (AG Statistik), with additional connections to the Department of Statistics and the Graduate School 'Mathematics as a Key Technology.' Position: Dean of Mathematics Institution: RPTU Kaiserslautern Location: Building 48, Room 534, Gottlieb-Daimler-Straße, 67663 Kaiserslautern Contact: claudia.redenbach@rptu.de | +49 (0)631 205 3620 Professor Redenbach's research focuses on the intersection of stochastic geometry, spatial statistics, and image analysis with applications in materials science. Her work bridges theoretical mathematics with practical engineering applications, particularly in analyzing microstructures of concrete, foams, composites, and other materials. She has developed innovative methods for analyzing spatial point patterns, directional data, and 3D image data from various microscopy techniques including CT, FIB-SEM, and light-sheet microscopy. Her recent publications (2024-2025) reveal a strong emphasis on computational methods for materials analysis, including crack detection in concrete, fiber orientation analysis, artifact removal in imaging, and the development of mathematical morphology techniques for directional data. She frequently collaborates with materials scientists and engineers, with K. Schladitz appearing as a consistent co-author across numerous publications. Her work demonstrates a consistent focus on developing mathematical tools that solve practical problems in materials characterization and analysis. Professor Redenbach has made significant contributions to spatial statistics, particularly in anisotropy analysis of point patterns, and to the application of stochastic geometry models for material microstructure analysis. Her research spans both theoretical developments in statistical methods and their practical implementation for real-world materials science problems.

Robert FlassigView profile

Research Professor

• Technical Energy Efficiency
• Process Systems Engineering
• Machine Learning Applications
• +6 more

Prof. Dr.-Ing. Robert Flassig is a Research Professor for Technical Energy Efficiency at the Brandenburg University of Applied Sciences , focusing on interdisciplinary research at the intersection of energy systems, process engineering, and computational methods. With extensive collaborations across institutions like the Max Planck Institute and TU Berlin, his work emphasizes methodological innovation in mathematical modeling, machine learning, and optimization for industrial applications. Research Highlights: Technical Energy Efficiency and Resource Management Machine Learning for Biological and Engineering Systems Reactor Network Synthesis via Flux Analysis Stochastic Modeling of Actomyosin Dynamics Scientific Recognition: 2017 DECHEMA Young Talent Award 2013 Sbv Improver 1st Place (Nature) 2009 DREAM 4 In Silico Challenge 3rd Place Key Collaborations: Rolls-Royce Deutschland, Max Planck Institute, TU Berlin, and Fraunhofer IPK. His recent projects ( VITVI , AutoBlisk ) integrate AI for virtual engine development and multidisciplinary design optimization, securing 1.5M€ in research funding.

Ulrich BükerView profile

Professor

• Artificial Intelligence
• Autonomous Driving
• Computer Vision
• +3 more

Prof. Ulrich Büker is a faculty member at TH OWL since 2022, leading the Intelligent Systems research group at inIT (Institute for Industrial Information Technology). He became deputy head of inIT in 2024 and Vice Dean of Department 5 in 2025. His work bridges academic research and industrial applications in intelligent systems. Education : Diploma in Computer Science (University of Paderborn), Doctorate and Habilitation in Electrical Engineering and Information Technology (University of Paderborn). Research Interests include: Application-oriented artificial intelligence for automation and mobility systems. Autonomous driving with focus on scenario generation and vision-based control. Computer vision for robotics and industrial applications. Embedded systems in battery electric vehicles. Article Trends demonstrate expertise in autonomous systems, computer vision, and industrial applications, spanning from foundational 2000s work on hybrid object models to recent LLM-driven autonomous driving scenario generation . Key sub-fields include neural networks, image processing, and vehicle energy management. Professional Contributions include: Industrial leadership roles at Aptiv , Delphi , and Hella . Membership in German Informatics Society (GI) and German Society for Pattern Recognition (DAGM) . Patents in image segmentation (DE000010250781, EP000001416441).

Jürgen JasperneiteView profile

Professor

• Industrial Communication Technology
• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• +7 more

Prof. Jürgen Jasperneite is the director of Fraunhofer IOSB-INA in Lemgo and a board member of the Institute for Industrial Information Technology (inIT) at Ostwestfalen-Lippe University of Applied Sciences (TH OWL). He holds the Professorship for Computer Networks and focuses on industrial communication systems for cyber-physical systems and IoT. Current affiliations: Fraunhofer IOSB-INA (Director), inIT (Board Member), TH OWL (Professor) International collaborations: Guest Professor at Midsweden University (2021–present), Research Fellow at Stanford University (2017–present) Research Interests include: Distributed real-time communication and processing 5G/6G integration into industrial networks Time-Sensitive Networking (TSN) and Ethernet migration Semantic interoperability and IT security SmartFactoryOWL and Industry 4.0 testbeds Zero-touch management and network digital twins His work spans manufacturing, process automation, logistics, and urban mobility , with a focus on bridging information technology (IT) and operational technology (OT) through standards like OPC UA and PROFINET. Scientific Recognition : IEEE Senior Member (since 2006) Over 250 publications and conference leadership roles Best Paper Awards at IEEE ISPCS (2007), IEEE ETFA (2012), GI Echtzeit (2014) Founding director of Germany's first Fraunhofer application center for industrial automation Contact: computernetworks@init-owl.de

• Wireless Communications
• Signal Processing
• Embedded Systems
• +4 more

Ali Dziri is a permanent researcher at CentraleSupélec's Cedric Laboratory , focusing on wireless communications, signal processing, and embedded systems. His work spans 2004–2023 with key contributions in UWB communication, IoT networks, video/image transmission, and real-time tracking algorithms. His research interests include: Wireless Communications Signal Processing Embedded Systems Machine Learning IoT Networks Video/Image Compression Recent publications highlight trends in neural networks for channel equalization, MIMO relays for WSNs, and 5G D2D communication protocols. He has no listed scientific awards or advisees.

Terence Chi-Shen TaoView profile

Professor

• Harmonic analysis
• Partial differential equations
• Algebraic combinatorics
• +5 more

Terence Tao is an Australian-American mathematician and professor of mathematics at the University of California, Los Angeles (UCLA), where he holds the James and Carol Collins Chair in the College of Letters and Sciences. Widely regarded as one of the greatest living mathematicians, Tao has received numerous prestigious awards including the Fields Medal, the Breakthrough Prize in Mathematics, and the MacArthur Fellowship. Dr. Tao's educational background includes: Bachelor's and Master's degrees from Flinders University (1991) Ph.D. from Princeton University (1996) under Elias M. Stein Tao's research spans an extraordinary breadth of mathematical fields. He is particularly known for his work in harmonic analysis, partial differential equations, combinatorics, and analytic number theory. His research has included groundbreaking contributions to compressed sensing, the Green-Tao theorem on arithmetic progressions in prime numbers, and progress on the Navier-Stokes equations. Tao is renowned for his collaborative approach, having worked with over 60 co-authors throughout his career. Tao's publications demonstrate remarkable diversity across mathematical disciplines. His work shows strong trends in connecting seemingly disparate areas of mathematics, often bringing techniques from one field to solve problems in another. He has made significant contributions to both theoretical and applied mathematics, with applications ranging from signal processing to number theory. Among his numerous scientific achievements, Tao has received: Fields Medal (2006) Breakthrough Prize in Mathematics (2014) Royal Medal (2014) MacArthur Fellowship (2006) Crafoord Prize (2012) Princess of Asturias Award (2020) Tao has mentored numerous students throughout his career, with Monica Vișan among his doctoral students. He has secured significant research funding through prestigious awards including the Packard Fellowship, Sloan Fellowship, and Simons Investigator award. His collaborative research has been supported by multiple National Science Foundation grants. Tao maintains an active research group at UCLA and frequently collaborates with mathematicians worldwide. His blog and public lectures have made advanced mathematical concepts accessible to broader audiences, demonstrating his commitment to mathematical education and outreach.

• Cosmology
• Astrophysics
• Cosmic Microwave Background (CMB)
• +3 more

Dr. Gary F. Hinshaw is a cosmologist and Professor in the Department of Physics & Astronomy at the University of British Columbia. His work focuses on the Cosmic Microwave Background (CMB) and radio astronomy, with leadership roles in major projects like the Wilkinson Microwave Anisotropy Probe (WMAP) and the Canadian Hydrogen Intensity Mapping Experiment (CHIME). Undergraduate: University of California, Berkeley PhD: Harvard University His research spans CMB analysis, HI intensity mapping, galaxy cluster studies, and fast radio burst (FRB) detection. Current projects include the Simons Observatory and CHORD (Canadian Hydrogen Observatory and Radio-Transient Detector). Recent publications highlight CHIME's contributions to HI emission detection, CMB foreground separation, and Faraday tomography of Galactic magnetic fields. Awards include the 2018 Breakthrough Prize in Fundamental Physics and the NASA Goddard Space Science Achievement Award.

• Multi-Agent Systems
• Federated Learning
• Machine Learning
• +2 more

Dr.-Ing. Michael Zwick is a researcher at the Chair of Data Processing, affiliated with the School of Electrical and Information Engineering at Technische Universität München. His work focuses on multi-agent systems, federated learning, and machine learning applications in signal processing and computer vision. Dozentenpreis 2021 for teaching excellence Ernst Otto Fischer-Lehrpreis 2011 for the InstantFeedback teaching concept His research explores trust mechanisms in distributed systems and optimization techniques for human-robot interaction, leveraging advanced computational methods. Zwick's contributions align with projects like Camera Pose Estimation via Projective Newton Optimization and Overdetermined Speech Mixtures for Human-Robot Interaction.

• Robotics
• Artificial Intelligence
• Computational Neuroscience
• +7 more

Robin Dietrich is a Researcher at the Department of Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems at the Technical University of Munich . His work bridges computational neuroscience and robotics, focusing on translating neural mechanisms from mammalian brains into algorithms for mobile robot navigation. B.Sc. and M.Sc. in Computer Science Research on hippocampal temporal dynamics for neuromorphic SLAM Specializes in spiking neural networks for navigation and radar processing Research Interests : Robin's research explores the intersection of robotics, artificial intelligence, and computational neuroscience . His work specifically investigates spiking neural networks, FMCW radar data processing, and neuromorphic algorithms for autonomous systems. Recent projects focus on uncertainty quantification, evolutionary optimization, and multi-robot exploration using biologically inspired models. Publication Trends : Robin's publications (2019-2025) demonstrate a consistent focus on neuromorphic computing for robotic perception , with increasing specialization in spiking neural networks for radar processing and biologically inspired navigation algorithms . Key collaborations include contributions to multi-robot exploration metrics and hardware acceleration frameworks. Teaching Contributions : Robin has taught Digital Signal Processing and Real-Time Systems lectures since 2019, co-led seminars on Bio-inspired Data Processing , and supervised practical courses on Intelligent Mobile Robots using ROS.

• Plant Physiology
• Plant Cell Biology
• Plant Development
• +4 more

Markus Grebe serves as Professor and Head of the Department of Plant Physiology at the Institute of Biochemistry and Biology, University of Potsdam, where he leads a research group investigating fundamental mechanisms of plant cell polarity and development. His laboratory, located in building 20, room 0.08, focuses on molecular processes governing root morphogenesis and cellular organization in Arabidopsis thaliana. Research priorities include: Establishment of planar and tissue polarity in root systems Auxin signaling networks and polarized transport mechanisms Lipid domain organization and membrane dynamics ROP GTPase-mediated cytoskeletal regulation Cell plate assembly during cytokinesis Protein trafficking in polarized growth contexts Analysis of recent publications reveals consistent emphasis on integrating advanced imaging with genetic approaches to dissect how lipid microdomains, cytoskeletal elements, and signaling pathways coordinate to establish cellular asymmetry. The group has pioneered methodologies for visualizing membrane order and protein dynamics during root hair initiation and cell division. Professor Grebe has mentored fifteen graduate students to completion, including nine PhD candidates and four Master's students, while currently supervising two doctoral researchers. His laboratory utilizes state-of-the-art infrastructure including LSM 880 Airyscan microscopy for high-resolution live imaging of developmental processes.

• Deep Learning
• Wireless Communications
• Signal Processing
• +4 more

Ali Abdi is a Researcher and PhD candidate at RWTH Aachen University, specializing in Deep Learning-based channel estimation and signal processing for future wireless communication systems. He is actively involved in the German flagship project 6G-Anna, which explores AI applications in the physical layer (PHY) blocks of 6G mobile networks. His current role includes academic collaboration under the Chair of Distributed Signal Processing and teaching activities for courses in digital mobile radio receiver algorithms. Education: Bachelor of Science (2015) in Communication Technology from Shahid Beheshti University, Tehran Master of Science (2017) in Communication Systems Engineering from Sharif University of Technology Research Focus: 6G channel estimation techniques Machine learning integration in wireless physical layer (PHY) processing mmWave and Massive MIMO technologies Integrated Sensing and Communication (ISAC) for advanced wireless networks Professional Background: Scientific staff member at RWTH Aachen University since 2023 Prior R&D experience in telecommunications signal processing for direction finding and localization in Tehran

• Glucocorticoid Receptor Biology
• Inflammatory Process Regulation
• Pharmacokinetics and Pharmacodynamics
• +3 more

Prof. Dr. Petra Högger is a full professor at the Institute of Pharmacy and Food Chemistry , Faculty of Chemistry and Pharmacy, University of Würzburg. A graduate of pharmacy from the University of Münster (1988), she earned her doctorate in 1992 and habilitation in 2000, both focusing on glucocorticoid action. Her research connects molecular pharmacology with clinical applications through extensive work on: Glucocorticoid receptor dynamics and tissue binding Pharmacokinetics of respiratory medications CD163 receptor regulation in inflammation Polyphenol bioactivity and metabolism With over 30 years of research experience including a DFG fellowship at UCSF (1993-1994), she has mentored 21 PhD students and developed innovative models for pulmonary drug absorption. Her work combines in vitro , ex vivo , and clinical study approaches, particularly using human lung perfusion systems and dried blood spot technology. Recent publications focus on: Polyphenol stability and metabolism Neuroprotective silibinin derivatives Glucocorticoid pharmacokinetics in respiratory diseases CD163 shedding mechanisms Biomarker development in arthritis and diabetes Pharmacological evaluation of plant extracts (Pycnogenol, Robuvit) She maintains active research in clinical pharmacy with applications in asthma treatment optimization and metabolic syndrome management.

• Synthetic Aperture Radar (SAR)
• Microwave Remote Sensing
• Digital Beamforming
• +6 more

Prof. Dr.-Ing. Alberto Moreira is the Director of the Microwaves and Radar Institute at the German Aerospace Center (DLR) and a Full Professor in Microwave Remote Sensing at Karlsruhe Institute of Technology (KIT) . He leads pioneering work in synthetic aperture radar (SAR) systems, including the TanDEM-X and TerraSAR-X missions. Born in São José dos Campos, Brazil B.Sc./M.Sc. in Electrical Engineering (Aeronautical Technological Institute, 1984/1986) Ph.D. (summa cum laude, Technical University of Munich, 1993) Research Focus : Innovative SAR system design (polarimetric interferometry, tomography) Digital beamforming and multi-static radar architectures Global Earth observation through TanDEM-X and Tandem-L missions Quantum annealing applications in SAR processing Planetary radar systems for Venus exploration (EnVision, VERITAS) Scientific Impact : Author/co-author of >500 peer-reviewed publications H-index: 66 (Google Scholar) Holder of >40 patents in radar and antenna technology Awards & Leadership : IEEE Dennis J. Picard Medal (2023) IEEE GRSS Distinguished Achievement Award (2014) President of IEEE GRSS (2010) Founding Chair of IEEE GRSS German Chapter Principal Investigator for Helmholtz Alliance Earth System Dynamics (2012-2018) Collaborations : Works with ETH Zurich, TU Delft, and ESA on missions like Sentinel-1, BIOMASS, Harmony, and VERITAS. His institute develops cutting-edge technologies for spaceborne SAR systems.

Claude LeinerView profile

Researcher

• Optical Engineering
• Visible Light Positioning
• Micro-Optical Elements
• +4 more

Claude Leiner is a researcher at JOANNEUM RESEARCH working within the MATERIALS – Institute for Sensorics, Photonics and Production Technologies. His primary focus is on Light and Optical Technologies, where he conducts research on visible light positioning systems, micro-optical elements, and optical simulation. Dr. Leiner's research interests center on optical engineering with emphasis on visible light communication, micro-optics fabrication, and light management systems. His work bridges theoretical optical simulation with practical applications in positioning technology, illumination systems, and renewable energy. Recent publications demonstrate expertise in freeform optical design, laser lithography techniques, and multiscale optical simulation methods. Analysis of Dr. Leiner's publication record from 2014-2022 shows consistent contributions to the field of optical engineering, with particular emphasis on practical applications of micro-optical elements. His work spans visible light positioning systems, photovoltaic efficiency improvements, and advanced optical simulation techniques, demonstrating both theoretical depth and practical implementation focus. Dr. Leiner maintains active research collaborations within JOANNEUM RESEARCH, working with colleagues across multiple projects related to photonics and optical technologies. His research appears to be well-integrated within the institution's focus on applied research and technology development. His laboratory work focuses on the Light and Optical Technologies research group, where he contributes to the development of advanced optical elements using techniques like laser lithography and roll-to-roll manufacturing processes for micro-optical components.

Eli GeffenView profile

Professor

• Behavioral ecology
• Population genetics
• Vocal communication
• +7 more

Prof. Eli Geffen is a Professor at the School of Zoology, Tel Aviv University, and serves as the Curator of Terrestrial Vertebrates at the Steinhardt Museum of Natural History. He received his PhD from the University of Oxford in 1990 and has authored more than 100 scientific papers throughout his distinguished career in behavioral ecology and population genetics. Prof. Geffen's research focuses on behavioral ecology as expressed in the social dynamics and vocalization of the rock hyrax, visual communication in chameleons, and evolution of sociality in canids and other carnivores. His work also encompasses population genetics, examining behavioral and environmental factors that influence dispersal decisions in carnivores and other vertebrates, as well as comparative studies on various behavioral aspects of birds and mammals. He utilizes samples from the Museum collections in his study of population genetics of wolves and jackals, dog and cat domestication, and the interaction between the changing environment and genetics in other carnivores. Prof. Geffen's recent publications demonstrate a strong focus on rock hyrax vocal communication and social behavior, carnivore ecology and conservation, and amphibian and reptile population genetics. His work often involves interdisciplinary approaches, combining behavioral observations with genetic analyses to understand evolutionary processes and ecological adaptations. Many of his studies examine the impact of environmental factors, including climate change and human activity, on animal behavior and population dynamics. Prof. Geffen has made significant contributions to understanding the behavioral ecology of rock hyraxes, particularly their complex vocal communication systems and social structures. His research on carnivores, including foxes, wolves, and leopards, has provided valuable insights for conservation efforts. Additionally, his work on amphibians, particularly the rediscovered Hula painted frog, has contributed to conservation biology in the region.