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Felix Sommer is a Researcher and Group Leader of the Functional Host-Microbiome Research group at the Institute of Clinical Molecular Biology (IKMB) of Kiel University and University Medical Center Schleswig-Holstein (UKSH). He heads the Systems Immunology Microbiome Platform and leads the Junior Research Group Functional Host-Microbiome Research and Systems Immunology, which was established in 2020. His work focuses on understanding the intricate interactions between the host, microbiome, and environmental factors in health and disease. Felix Sommer received his PhD in cell biology in 2010 from Kiel University and completed postdoctoral training in the lab of Fredrik Bäckhed in Gothenburg, Sweden, from 2010 to 2015 before joining IKMB. His research centers on host-microbiome interactions, particularly how the microbiome influences host metabolism (such as glycolysis) and immune responses, with implications for inflammatory bowel disease, cancer, and metabolic disorders. His work employs gnotobiotic in vivo conditional knockout models, functional in vitro organoid systems, and high-throughput 'omics' technologies including next-generation sequencing and metabolomics. Analysis of his recent publications reveals a strong focus on the metabolic aspects of host-microbiome interactions, particularly how microbial metabolites influence host immune responses and disease states. His work spans multiple disease models including inflammatory bowel disease, cancer, metabolic disorders, and aging, with a consistent theme of identifying specific molecular pathways that could be targeted therapeutically. Recent work has increasingly focused on hexokinase regulation, gut barrier function, and the therapeutic potential of microbiome modulation. Felix Sommer leads a research team that includes doctoral researchers Xue Gu, Hongshu Huang, Lea Järke, Xiangyu Meng, and Saskia Weber-Stiehl. His group is supported by funding from the German Research Foundation (DFG) for the project 'Role of DUOX2 in shaping the intestinal microbiota and effects on inflammation, cancer and metabolic disease' (SO1141/10-1), the Research Group 'miTarget – The Microbiome as a Target in Inflammatory Bowel Diseases' (FOR5042), and the Excellence Cluster 'Precision Medicine in Chronic Inflammation' (EXS2167). The Functional Host-Microbiome Research group operates within the Institute of Clinical Molecular Biology at Kiel University, utilizing specialized facilities including gnotobiotic models and advanced 'omics' technologies. The group aims to develop novel strategies for treating metabolic and inflammatory disorders by targeting the intestinal microbiome through nutritional or probiotic interventions, with a particular focus on understanding the molecular mechanisms underlying host-microbiome crosstalk.

• Microbiome
• Host-Microbiome Interactions
• Immunology
• +6 more

Prof. Dr. Jürgen Peissig is a Full Tenure Professor at the Institute for Communications Technology within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover since 2014. He supervises a research group with 1 post-doctoral researcher and 12 PhD students across subgroups: Data Communications Systems, Audiocommunications and Acoustics, and Statistical Signal Processing. PhD in Physics (1992) from University of Göttingen Researcher at AT&T Bell Labs (1990-1991) Research Associate at Universities of Göttingen and Oldenburg (1992-1996) Industry leadership at Sennheiser (1996-2014) His research spans audio signal processing for hearing aids, cochlear implants, and immersive audio systems; machine-to-machine communication with robust waveforms (FBMC); and hybrid VLC-RF systems . Key sub-fields include noise cancellation, psychoacoustic modeling, MIMO interference alignment, and 3D audio reproduction. Recent publications focus on deep learning for sound source localization, spatial audio measurement frameworks, and wind turbine noise analysis. Trends show integration of neural networks , higher-order ambisonics , and mobile measurement systems . Recipient of Werner v. Siemens Excellence Award 2006 for thesis supervision Awarded Best Technical Paper at AES 156th Convention (2024) Best Student Paper Award at FRUCT 2020 and AES Poster Award 2019 He has taught courses on Signals and Systems , Digital Data Transmission , and Acoustical Transducers , supervising over 30 diploma/master's theses and 15 PhD students. His lab, the Immersive Media Laboratory , develops advanced audio systems for live events and virtual environments.

• Signal Processing for Audio and Acoustics
• Machine-to-Machine Communication
• Psychoacoustics
• +5 more

Gerd Bumiller is a Professor at the Institute of Computer Science, Ruhr West University of Applied Sciences, specializing in Energy and Information Technology. He is an expert in digital signal processing, measurement technology, and powerline communication. Affiliation : Ruhr West University of Applied Sciences Research Focus : Power Line Communication (PLC), Smart Grids, Power Quality, Grid Impedance, Signal Processing Research Interests : Bumiller's work spans Power Quality Measurement (phase information analysis, harmonic power flow), Impedance Measurement Systems for power lines, and Smart Grid Communication Protocols . His projects include GridForm (grid-forming converters), EASIDE (impedance measurement), and NERD-NRW (IT security for smart metering). Publications : His recent work focuses on spectral power quality analysis, harmonic modeling, and impedance measurement optimization in power systems. Key venues include IEEE Transactions on Instrumentation and Measurement and ISPLC conferences. Leadership : Former Secretary (2006-2010, 2014-2018) and Chair (2018-2022) of the IEEE Technical Committee for Power Line Communication (TC-PLC). He also served as program director for Energy Informatics (2018-2022) and held an endowed professorship (2012-2015).

• Digital Signal Processing
• Power Line Communication (PLC)
• Smart Grids
• +3 more

Bastian Goldlücke serves as an Associate Professor in the Department of Computer Science at the University of Konstanz since 2014. His academic journey includes postdoctoral positions at the University of Heidelberg (2011), TU Munich (2010), and the University of Bonn (2009), following a Ph.D. from the Max Planck Institute for Computer Science in Saarbrücken (2006). His research centers on variational methods and their applications in computer vision, with specialized focus on light field analysis and inverse problems . Key contributions include novel frameworks for light field decomposition, real-time 3D reconstruction, and attention-based neural representations. His work bridges mathematical optimization with practical computer vision challenges in autonomous systems and 3D imaging. Notable scientific recognition includes: ERC Starting Grant 'Light Field Imaging and Analysis' (2013) Funding through SFB Transregio 'Quantitative Methods for Visual Computing' Prof. Goldlücke actively contributes to the academic community as a reviewer for major conferences and journals, co-organizer of the 'Light Fields for Computer Vision' workshops at ECCV 2014 and CVPR 2017, and area chair for ACCV 2014 and 3DV 2016. His current research is supported by significant European and German research grants focusing on computational imaging and visual analysis.

• Computer Vision
• Variational Methods
• Light Field Analysis
• +3 more

Dominik Fuchsgruber is a PhD Student at the Technical University of Munich (TUM) , affiliated with the TUM School of Computation, Information and Technology and the Department of Computer Science . His research focuses on uncertainty estimation in machine learning models and spatio-temporal deep learning applications. Educational background: M.Sc. and B.Sc. in Informatics from TUM, with an exchange semester at ETH Zürich Research experience: PhD work at TUM, internships at University of Alberta and Fraunhofer ESK Research Highlights : Developed energy-based uncertainty estimation frameworks for graph neural networks Created orientation-equivariant graph neural networks for edge signal analysis Contributions to efficient inference methods in large-scale machine learning Laboratory Affiliation : Part of the Data Analytics and Machine Learning group led by Prof. Dr. Stephan Günnemann at TUM.

• Uncertainty Estimation
• Spatio-Temporal Deep Learning
• Graph Neural Networks
• +3 more

Johanna Baehr is a researcher at the Chair of Information Security at the Technical University of Munich . Her work focuses on hardware security, reverse engineering, and threat detection. She contributes to academic research and teaching, particularly in the area of IT security fundamentals. Research Interests: Hardware reverse engineering, netlist analysis, hardware trojan identification, and hardware obfuscation. Teaching: Basics of IT security. Recent publications analyze hardware security frameworks, obfuscation techniques, and graph-based partitioning algorithms. Her work addresses vulnerabilities in sequential reverse engineering and cryptographic cores through structural interpretation. She collaborates with colleagues like Alexander Hepp and Georg Sigl on hardware security challenges. Publications: Hardware Honeypot: Setting Sequential Reverse Engineering on a Wrong Track (2024) Fault-Simulation-Based Flip-Flop Classification for Reverse Engineering (2024) Open Source Hardware Design and Hardware Reverse Engineering: A Security Analysis (2022) Post-Quantum Logic Locking (2022)

• Hardware Reverse Engineering
• Hardware Security
• Netlist Analysis
• +4 more

Oliver Behrend is a Professor at the Department of Biology II within the Faculty of Biology at Ludwig-Maximilians-Universität München, where he serves as Managing Director of the Munich Center for Neurosciences - Brain & Mind . His research focuses on comparative neurobiology and auditory processing mechanisms across vertebrates. Behrend's work examines: 1) Amphibian lateral line systems for surface wave localization, 2) Mammalian sound localization through interaural time difference processing, and 3) Auditory feedback mechanisms in echolocating bats. His studies span neuroethology, auditory neuroscience, and sensory-motor integration. Publications reveal multidisciplinary approaches to sensory neuroscience with keywords: Neuroethology Computational neuroscience Auditory pathways Sensory integration Neural coding Comparative neuroanatomy Contact: o.behrend@lmu.de

• Amphibian lateral line system
• Auditory processing
• Neuroethology
• +3 more

Elisabeth Binder is a Professor and Director of the Department of Translational Research in Psychiatry at the Max Planck Institute of Psychiatry in Munich, Germany. She holds dual doctorates in medicine (University of Vienna) and neuroscience (Emory University) and has previously served as faculty at Emory University's Department of Psychiatry and Behavioral Sciences. Research Interests focus on creating a biology-based taxonomy of psychiatric diseases through: Investigating genetic and epigenetic factors in stress response Identifying biomarkers for psychiatric disorders Characterizing molecular pathways of risk and resilience Developing transdiagnostic approaches to mental health Studying the FKBP5 gene as a therapeutic target Exploring stress impacts across developmental stages Recent publications demonstrate expertise in epigenetics, stress-related disorders, and gene-environment interactions, with notable work on cortisol signaling (2015), PTSD biomarkers (2013), and brain aging mechanisms (2024). Her research combines genomic profiling with translational approaches to identify early intervention targets. Awards & Memberships : Elected to the National Academy of Medicine (2020) Received Eva King-Killam Research Award (2016) Honored with Carus Medal from Leopoldina (2017) Key roles in international societies including ACNP and ISPG Lab Leadership includes graduate school affiliations with the International Max Planck Research School and supervision of multiple PhD students including Laura Leuchs and Maximilian Schneider.

• Psychiatric disorders
• Stress biology
• Gene-environment interactions
• +3 more

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

• Biomedical Neuroscience
• Molecular & Developmental Neuroscience
• Cellular & Systems Neuroscience
• +7 more

Zhaoping Li is a Professor at the University of Tuebingen and a Max Planck Fellow at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. She holds a PhD in Physics from Caltech (1989) and has held postdoctoral positions at Fermi National Laboratory, Institute for Advanced Study (Princeton), and Rockefeller University. B.S. in Physics, Fudan University (1984) Ph.D. in Physics, California Institute of Technology (1989) Her research spans Computational and Experimental Neuroscience , focusing on Pre-attentive Vision , Visual Attention , Sensory (Visual) Coding , Visual and Olfactory Object Recognition , and Nonlinear Neural Dynamics . She is renowned for proposing a theory of the Primary Visual Cortex creating a Saliency Map for visual attention, which has been extensively tested since the late 1990s. Her 2014 book Understanding Vision: Theory, Models, and Data (Oxford University Press) synthesizes her work, offering a computational framework for biological vision. This book is widely cited and serves as a reference in vision science and computational neuroscience.

• Computational Neuroscience
• Experimental Neuroscience
• Visual Attention
• +10 more

Prof. Dr. Sönke Zaehle is a leading biogeochemical researcher at the Max Planck Institute for Biogeochemistry , directing the Department of Biogeochemical Signals . He also holds an Honorary Professorship at the Faculty of Chemistry and Geosciences, Friedrich Schiller University Jena . His work spans terrestrial biosphere modeling, nutrient cycling, and climate system interactions. Education MSc in Environmental Sciences, University of East Anglia (2000-2001) Doctoral studies, University of Potsdam / Potsdam Institute for Climate Impact Research (2001-2005) Geoecology, Technical University of Braunschweig (1997-2000) Research Focus Zaehle integrates terrestrial biosphere models (e.g., QUINCY) with observational data to study carbon-nitrogen-phosphorus coupling, climate feedbacks, and land-atmosphere exchange. His work addresses global change impacts on ecosystems, model-data synthesis, and uncertainty quantification in biogeochemical cycles. Article Trends Recent publications emphasize climate extremes, nutrient cycling in Earth System Models (CMIP6, MAGICC), and Amazon carbon dynamics. Themes include model development, remote sensing integration, and climate-carbon-nitrogen interactions under anthropogenic forcing. Scientific Leadership Zaehle contributes to international initiatives as a Lead Author for the IPCC 6th Assessment Report and Associate Editor of Biogeosciences . He also advises New Phytologist and participates in councils like the Minerva-Weitzmann Committee . Teaching & Community Engagement He teaches Klimatologie und Klimawandel and Globale Umweltmodellierung at Friedrich Schiller University. He mentors through the IMPRS for Global Biogeochemical Cycles and collaborates with institutions like the Michael Stifel Centre Jena for data-driven science.

• Terrestrial Biogeochemistry
• Carbon Cycle
• Climate Modeling
• +7 more

Prof. Snorre Aunet is a faculty member at Bielefeld University's Faculty of Engineering, affiliated with the Cognitronics & Sensor Technology Group. His research focuses on cognitive systems and sensor technology, with applications in embedded systems and signal processing. Research Interests : Cognitive systems, sensor networks, embedded hardware design Affiliation : Faculty of Engineering, Cognitronics & Sensor Technology Group Contact details include a secretariat phone number (+49 521 106-12048) and institutional address through the Faculty of Engineering.

• Cognitive Systems
• Sensor Technology
• Embedded Systems
• +1 more

Dr. Marc Hesse serves as Team Leader of the Cognitronics & Sensor Technology Group at Bielefeld University's Faculty of Engineering and is also a Board member of the Center for Cognitive Interaction Technology (CITEC). His work bridges engineering, robotics, and sensor technology with practical applications across multiple domains. Dr. Hesse's research spans wireless sensor networks, robotics, machine learning applications, and Industry 4.0 technologies. His work focuses on developing practical solutions for real-world problems, including physiological monitoring systems, UWB localization in challenging environments, and edge computing applications for smart grids and manufacturing. He has made significant contributions to educational robotics through the AMiRo platform, which integrates research and teaching in robotics education. His publication record shows consistent output across multiple domains, with recent work emphasizing machine learning applications in sensor networks, edge computing implementations, and digital twin technologies. The research demonstrates a trajectory from fundamental sensor and system design to applied implementations in agriculture, healthcare, and industrial settings. Dr. Hesse collaborates extensively across disciplines and institutions, with publications spanning biomedical engineering, robotics, electrical engineering, and sports science. His work often addresses the practical challenges of implementing theoretical concepts in real-world environments with resource constraints.

• Wireless Sensor Networks
• Robotics
• Cognitronics
• +7 more

Dr. Peter Kotzian is a Researcher at Heinrich Heine University Düsseldorf, associated with the Chair of Business Administration (Accounting). Since 2014, he has focused on experimental behavioral research, institutional comparison, and democratization of international governance through civil society. His educational background includes a PhD in Political Science (University of Mannheim, 2002), habilitation in Political Science (TU Darmstadt, 2009), and a second PhD in Business Economics (2020). His research interests span Experimental Behavioral Research Institutional Comparison Democratization of Governance Empirical Methods Data Science and AI Applications Within DIID, he is preparing projects on digitalization’s impact on corporate decision-making and business analytics. His publications cover ethical culture in compliance programs, sustainability reporting, and decision biases. Co-authors include Barbara E. Weißenberger, Thomas Stöber, and Rüdiger Hahn. He has taught modules like Digital Reporting and Data Science until Wintersemester 2024/25.

• Experimental Behavioral Research
• Institutional Comparison
• Democratization of International Governance through Civil Society
• +13 more

Julien Baste is an Associate Professor at the University of Lille, France, since September 2020. He teaches computer science at IUT de Lille (Institut Universitaire de Technologie de Lille) and conducts his research as a member of the ORKAD research team within CRIStAL (Centre de Recherche en Informatique, Signal et Automatique de Lille). Dr. Baste's research interests focus on theoretical aspects of computer science, particularly in Algorithms, reductions, graph theory, parameterized complexity, diversity, and multi-objective optimization. His work bridges theoretical foundations with practical applications, especially in optimization problems related to graph structures and computational complexity. An analysis of his recent publications reveals a consistent trajectory in parameterized algorithms and graph theory. His work frequently addresses problems parameterized by treewidth, developing fixed-parameter tractable algorithms for various graph problems. He has made significant contributions to understanding the complexity of graph modification problems, matchings, domination problems, and hitting set problems. His research has increasingly incorporated applications in areas like selective deconstruction and optimization of industrial processes, demonstrating the practical relevance of his theoretical work. Dr. Baste maintains an active research presence through numerous conference participations and collaborations with researchers across Europe. His research profile shows regular publication in top-tier theoretical computer science venues including SODA, IPEC, WG, and various IEEE conferences. The ORKAD research team at CRIStAL provides the institutional context for his ongoing research activities in algorithms and optimization.

• Algorithms
• Graph Theory
• Parameterized Complexity
• +3 more