جستجوی استاد راهنمای دانشگاهی

Georg von Samson-Himmelstjernaمشاهده پروفایل

استاد

• Parasitology
• Veterinary Medicine
• Helminthology
• +۵ مورد دیگر

Georg von Samson-Himmelstjerna is a Professor and Managing Director at the Institute of Parasitology and Tropical Veterinary Medicine within the Department of Veterinary Medicine at Free University of Berlin. His leadership position at this prominent research institute places him at the forefront of veterinary parasitology research in Europe. His research interests span multiple critical areas in veterinary parasitology: Parasitology and Tropical Veterinary Medicine Anthelmintic resistance mechanisms and monitoring Diagnostic methods for gastrointestinal nematodes Control strategies for helminth infections in livestock Zoonotic parasite transmission Analysis of his extensive publication record (spanning from 1996 to 2025 with over 250 PubMed-listed articles) reveals an evolving research trajectory from fundamental studies on drug resistance mechanisms toward more comprehensive approaches addressing sustainable parasite control in changing environmental and agricultural contexts. His recent work demonstrates particular focus on molecular diagnostic techniques, resistance monitoring in ruminants, and adapting control strategies to climate change impacts. As Managing Director of the Institute, he oversees both research activities and diagnostic services for veterinary parasites, as evidenced by the institute's fee schedule for diagnostic services. The institute also participates in international humanitarian initiatives such as the 'Scholars at risk' program, which supports researchers who must flee their home countries, indicating his commitment to global scientific collaboration and academic freedom.

• Artificial Intelligence
• Legal Informatics
• Information Retrieval
• +۵ مورد دیگر

Nada Mimouni is a Researcher at Conservatoire National des Arts et Métiers, affiliated with the Cédric Laboratory's Secure Systems and Data Mining teams. She has authored 15+ peer-reviewed publications across 2012–2025, focusing on knowledge graphs, legal informatics, and cybersecurity. Her Contextual cybersecurity Semantic knowledge representation Legal information systems Ontology engineering Medical system protection Policy analysis research spans interdisciplinary applications including EU regulatory frameworks and healthcare infrastructure security. Recent publications demonstrate expertise in contextual knowledge graphs, analogical reasoning, and cyber-physical incident management. Notable recognition includes the Most Inspiring Managerial Implications Award (2019).

Lee Burtonمشاهده پروفایل

پژوهشگر

• Materials Science
• Semiconductors
• Renewable Energy
• +۳ مورد دیگر

Dr. Lee Burton is a faculty member at the Department of Materials Science and Engineering, Faculty of Engineering, Tel Aviv University. He leads the Burton Materials Discovery Lab, focusing on data-driven discovery of materials and semiconductors for renewable energy and clean technologies, such as solar panels. NSFC Young Scientists Award (2022) NSFC International Young Scientists Award (2019) Eastern Young Scholar Award (2018) E.U. Seal of Excellence Award (2017) His research leverages computational modeling to predict solid-state material properties before synthesis, with applications in renewable energy technologies. Recent work includes identifying two-dimensional semiconductors through conductivity effective mass analysis. Group members include PhD student Muhammad Jabaly and fast-track master's students Nadav Moav and Roee Asher. Contact details: Email leeburton@tauex.tau.ac.il , Phone +972 03-6407872.

Thorsten Kochمشاهده پروفایل

استاد

• Mathematical Optimization
• High-Performance Computing
• Artificial Intelligence
• +۴ مورد دیگر

Thorsten Koch is a Professor for Software and Algorithms for Discrete Optimization at Technische Universität Berlin , with multiple leadership roles including Head of the Applied Algorithmic Intelligence Methods (A²IM) , Digital Data and Information for Society, Science, and Culture (D²IS²C) , Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV) , and Forschungs- und Kompetenzzentrum Digitalisierung Berlin (digiS) . Based at Zuse Institute Berlin and affiliated with TU Berlin's Institute for Mathematics, he focuses on integrating mathematical optimization with high-performance computing and artificial intelligence to solve complex real-world problems. Research Pillars : Mathematical optimization algorithms Quantum computing applications AI/ML integration in decision systems Energy systems optimization Scientific software development Leadership Roles : Head of Applied Algorithmic Intelligence Methods (A²IM) Head of Digital Data & Information for Society, Science, and Culture (D²IS²C) Head of Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV) Head of Forschungs- und Kompetenzzentrum Digitalisierung Berlin (digiS) Key Collaborations : Working with IBM Quantum on quantum optimization Collaborating across institutions for energy system modeling Developing open-source optimization tools like SCIP Contributing to digital library infrastructure Recent Research Trends : Quantum optimization benchmarking Machine learning-aided optimization Multi-objective decision frameworks Energy infrastructure optimization Adaptive algorithm design CO2 network modeling Impact : Advancing hybrid optimization methods Developing open-source tools for scientific computing Building digital infrastructures for libraries and research Exploring quantum-classical algorithm synergies

Saharon Rossetمشاهده پروفایل

استاد

• Statistics
• Data Science
• Machine Learning
• +۳ مورد دیگر

Saharon Rosset is a Professor and Chair in Modern Statistics and Data Science at the Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University, since 2007. His expertise spans statistical learning theory, machine learning, and computational biology, with a focus on integrating statistical methods into biological and data science applications. Research Interests: Statistical Learning, Computational Biology, Genomics, Data Science Teaching: Statistics of Big Data, Statistical Genetics, Bootstrap Methods, Data Science His recent publications explore diverse applications including ATP production mechanisms, SARS-CoV-2 evolution, gene-environment interactions, and music structure analysis. He employs methodologies from high-dimensional statistics, random effects modeling, and multiple hypothesis testing. Scientific Awards : Best paper award at KDD-2011 KDD Cup 2007 Winner Best application paper award at KDD-02 He has mentored numerous PhD and MSc students, including Oren Yuval, Giora Simchoni, and Rajesh Karmakar. His collaborative work appears in journals like PNAS , Biometrics , and Journal of Machine Learning Research .

Manuela Wimmerمشاهده پروفایل

استاد

• Environmental Engineering
• Sustainable Water Systems
• Project Management in Water Management
• +۲ مورد دیگر

Prof. Dr. Manuela Wimmer serves as Professor of Environmental Engineering at Hof University of Applied Sciences within the Faculty of Engineering Sciences. She leads the research group "Sustainability and Project Management in Water Management" at the Institute for Sustainable Water Systems (inwa) and heads the "Sustainable Water Management and Engineering" study program. Previously, she directed the Institute for Water and Energy Management (iwe) from 2015 to 2020 before its integration into inwa. Her research bridges environmental engineering and digital innovation in water systems, focusing on smart water infrastructure, sustainability frameworks, and project management methodologies. Key investigations include IoT applications for groundwater protection, data-driven decision systems in water supply, and risk assessment of digital transformation in municipal utilities. She examines how technologies like AI and sensor networks enhance resource efficiency while addressing cybersecurity and regulatory challenges. Publications reveal a consistent emphasis on practical implementation of digitalization in Germany's water sector, with the SmaDiWa study establishing benchmarks for technological adoption. Her work identifies critical gaps between theoretical potential and operational realities, particularly regarding legacy infrastructure integration and workforce reskilling. Prof. Wimmer actively supervises student research in environmental engineering and project management, guiding theses on nanofiltration systems, wastewater optimization, solar-powered purification, and digital project tools. She facilitates industry collaborations where students address real-world challenges like industrial water recycling and smart grid integration. She directs the inwa research group focused on sustainable water project lifecycle management and participates in strategic water initiatives through the Bavarian Environmental Cluster and DVGW.

Fumihiro Kanoمشاهده پروفایل

پژوهشگر

• Comparative Psychology
• Animal Cognition
• Social Intelligence
• +۴ مورد دیگر

Fumihiro Kano is a comparative psychologist at the Centre for the Advanced Study of Collective Behavior, University of Konstanz, and an Affiliated Scientist at the Max Planck Institute of Animal Behavior. His research focuses on the evolutionary origins of social intelligence, using cutting-edge technologies like eye-tracking, motion-capture, and thermal imaging to study social cognition in great apes, monkeys, and birds. Education: PhD in Biological Sciences (Primate Research Institute, Kyoto University) Key Collaborations: Max-Planck Institute for Evolutionary Anthropology, University of Oxford, Kumamoto Sanctuary (Kyoto University) Kano’s work spans comparative analysis of gaze behavior, emotional processing, and collective decision-making. He has developed wearable sensors for free-flying pigeons and non-invasive methods for studying primates in sanctuaries. His studies on the human eye’s uniformly white sclera have provided experimental support for the gaze signaling hypothesis . Recent research integrates large-scale motion-capture systems with gaze-tracking to analyze interspecies interactions in pigeons, crows, and humans. He specializes in quantifying attention dynamics during collective behavior, including vigilance in birds and social cognition in apes. Scientific Awards: Heidelberg Academy of Sciences Manfred Fuchs Preis (2023) APA Division 6 Early Carrier Investigator Award (2020) Japanese Psychological Association International Award (2018) Kano leads interdisciplinary teams combining computer vision, psychology, and behavioral ecology. His work bridges evolutionary biology and technological innovation, with applications for understanding human uniqueness and animal cognition.

Pranav Minasandraمشاهده پروفایل

پژوهشگر

• Animal Behavior
• Collective Behavior
• Movement Ecology
• +۳ مورد دیگر

Dr. Pranav Minasandra is a postdoctoral researcher at the Max Planck Institute of Animal Behavior (Konstanz, Germany), affiliated with the Department of Collective Behavior . His work combines quantitative ecology , animal movement modeling , and machine learning to uncover universal patterns in behavioral sequences across species. PhD in Animal Behavior from Max Planck Institute MSc and BS from Indian Institute of Science (Bangalore) Research Focus: Analyzes behavioral predictivity decay and statistical similarities in animal sequences using accelerometry and theoretical frameworks. Recent work explores interspecies infant abduction and social coordination in meerkats/hyenas . Publications span PNAS , Proceedings B , and Current Biology , with 2025 papers revealing truncated power-law patterns in behavior and collective movement dynamics . His Best Paper Award (University of Konstanz) highlights groundbreaking contributions to behavioral sequence analysis. Collaborates with networks including Meg Crofoot , Ari Strandburg-Peshkin , and Vlad Demartsev . Tools developed include VocalPy integrations and predictivity decay metrics for behavioral forecasting.

Sabine Schulte im Waldeمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Germanic Linguistics
• +۳ مورد دیگر

Sabine Schulte im Walde is an Apl. Prof. (Adjunct Professor) at the Institute for Natural Language Processing (IMS) , University of Stuttgart. Her research bridges computational linguistics and cognitive semantics, focusing on noun compounds, semantic change, and multimodal representations. Key research areas: semantic drift, compositionality, German particle verbs Instrumental in creating datasets for semantic change detection (DWUGs, DURel) Recent work explores BERT's limitations in compound semantics and cross-lingual metaphor detection She contributes to major European NLP initiatives, with publications in top venues like ACL. The IMS group specializes in language-technology intersections, managing 6 professorships, 50+ researchers, and 200+ students in NLP programs.

Benedikt Ehingerمشاهده پروفایل

استادیار

• Computational Cognitive Science
• Visual Cognitive Science
• EEG Analysis
• +۵ مورد دیگر

Benedikt Ehinger is a Tenure-Track Professor for Computational Cognitive Science at the Stuttgart Center for Simulation Science (SC SimTech) and the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. His research bridges cognitive neuroscience, computational modeling, and visualization techniques to understand visual perception and decision-making processes. Education 2018: PhD in Cognitive Science from University of Osnabrück with thesis "Predictions, Decisions and Learning in the visual sense" 2013: Master of Science in Cognitive Science from University of Osnabrück with thesis "Filling in Blind-Spots: A psychophysical and an EEG study" 2011: Bachelor of Science in Cognitive Science from University of Osnabrück with thesis "Electrophysiological Correlates of Category Learning" Research Interests Ehinger's research focuses on the intersection of visual cognitive science, computational modeling, and neuroimaging techniques. His work primarily investigates predictive coding mechanisms in visual perception, statistical learning in visual scenes, eye movement control, method development for combined EEG and eye-tracking analyses, visual completion phenomena like the blind spot, and category learning and neural plasticity. His approach combines behavioral experiments, EEG recordings, eye-tracking, and advanced statistical modeling to uncover the computational principles underlying human visual cognition. Publication Trends Ehinger's publication record shows a clear evolution from foundational work on visual perception and category learning toward methodological innovations in neuroimaging analysis. His early work focused on visual completion phenomena, category learning, and melanopsin modeling. More recently, he has pioneered techniques for analyzing combined EEG and eye-tracking data, developing toolboxes like "unfold" that address critical challenges in temporal overlap correction and regression-based analysis. His research demonstrates a consistent thread of applying computational approaches to understand visual cognition while simultaneously advancing the methodological toolkit of cognitive neuroscience. Scientific Contributions Development of the "unfold" toolbox for overlap correction and regression-based EEG analysis Creation of the EEGVIS toolbox for EEG visualization Establishment of comprehensive eye-tracking test batteries for validating mobile eye-tracking devices Innovative approaches to modeling fixation durations and eye movement patterns Research Environment Ehinger leads the Computational Cognitive Science group within the Institute for Visualization and Interactive Systems at the University of Stuttgart. His work is situated at the intersection of cognitive science, neuroscience, and computer science, collaborating with researchers across these disciplines. His lab utilizes behavioral experiments, EEG, eye-tracking, and computational modeling to investigate visual cognition, with emphasis on open science practices and methodological transparency.

Silke Robatzekمشاهده پروفایل

استاد

• Plant Genetics
• Plant Immunology
• Microbial Pathogenesis
• +۳ مورد دیگر

Silke Robatzek is a Professor in the Department of Genetics at LMU Munich's Faculty of Biology. Her research focuses on plant immune signaling mechanisms and their regulation of host-microbe interactions, particularly regarding pathogens like Xylella fastidiosa and Phytophthora infestans . Current member of Graduate School Life Science Munich Research themes: plant immune receptors, extracellular vesicles, microbial homeostasis, stomatal immunity, pathogen effectors Key methodologies: quantitative imaging, proteomic analyses, receptor trafficking studies Recent research trends show heavy emphasis on extracellular vesicles and their roles in plant-pathogen communication, receptor kinase signaling (e.g., QSK1, SOBIR1), and microbiome dynamics in disease resistance. Her work spans molecular mechanisms (S-acylation, phosphorylation) to ecological implications in sustainable agriculture. Contact: robatzek@biologie.uni-muenchen.de

Dominic Henzeمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Smart Environments
• Machine Learning Applications
• +۱ مورد دیگر

Dominic Henze is a Professor at the Technical University of Munich (TUM), affiliated with the Faculty of Informatics and the Chair of Software Engineering . He leads research initiatives in Cyber-Physical Systems , Smart Environments , and Machine Learning Applications , with a particular focus on Fog Computing architectures. His research spans theoretical frameworks and real-world implementations, including collaborations with institutions like Carnegie Mellon University and industry partners such as Siemens AG and Zeiss IMT . His work addresses challenges in resource allocation , predictive maintenance , and blockchain integration within industrial contexts. Dr. Henze's publications reveal a consistent focus on Fog Computing architectures, IoT resource management, and educational software engineering. Key trends include self-organizing network systems , decentralized supply chain traceability , and smart environment coordination . He has advised numerous students on topics ranging from QoS negotiation to autonomous drone coordination . As an educator, he has taught multiple iPraktikum courses and seminars on iOS development and Agile Project Management since 2014, with publications exploring team composition strategies and distributed programming pedagogy.

• Agricultural Economics
• Agent-Based Modeling
• Climate Change Adaptation
• +۴ مورد دیگر

Dr. Christian Troost is a Senior Researcher and Lecturer at the Department of Land Use Economics at the University of Hohenheim . His work combines agent-based modeling and bioeconomic simulation to analyze agricultural adaptation to climate variability and resource use decisions across diverse farming systems in Germany, Chile, and Ethiopia . Education : BSc in Geography (Bochum, 2006), MSc in Agricultural Economics (Hohenheim/Wageningen, 2009), PhD in Agricultural Sciences (Hohenheim, 2014) Methodology : Specializes in uncertainty analysis , high-performance computing , and model validation protocols for complex agricultural systems Troost's research advances the MPMAS software package for integrated land system modeling. His 2025-2024 work focuses on pesticide reduction policies , hybrid intelligence systems for biodiversity-productivity tradeoffs, and agroforestry as climate adaptation in Ethiopia. Scientific Recognition : Gerhard-Fürst Prize (2015) Südwestbankpreis (2015) As an educator, he teaches farm system modeling and environmental economics at PhD, MSc, and BSc levels. His collaborative projects span DFG-funded climate change research , BMBF biodiversity initiatives , and German-Ethiopian CLIFOOD graduate programs .

Roland Reitbergerمشاهده پروفایل

پژوهشگر ارشد

• Life Cycle Assessment
• Building Simulation
• Sustainable Architecture
• +۳ مورد دیگر

Roland Reitberger is a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building at the Technical University of Munich . His work focuses on Life Cycle Assessment , thermal-dynamic building simulation , and parametric methods for analyzing the built environment. He investigates interactions in urban systems and synergy effects in sustainable construction. Research interests include climate-resilient urban planning, integration of green infrastructure with building systems, and data-driven optimization of building energy performance. His recent publications demonstrate expertise in multi-objective decision support for neighborhoods, GIS-based urban tree analysis , and holistic climate assessments of construction projects. Reitberger contributes to urban climate resilience research through parametric modeling of building density-vegetation relationships and develops frameworks for circular economy strategies in building densification and refurbishment. His methodological innovations combine machine learning with building simulation for explainable AI applications in office energy management.

• Embedded Systems
• Hardware/Software Co-design
• Energy-efficient AI Accelerators
• +۷ مورد دیگر

Oliver Bringmann is a full Professor and head of the Chair of Embedded Systems at the University of Tübingen, Germany, and a member of the board of directors at the FZI Research Center for Information Technology. His research integrates embedded-system design, energy-efficient AI accelerators, dependable automotive perception, and medical AI for capsule endoscopy. Education & Career Ph.D. in Computer Science, University of Tübingen, 2001 Diploma in Computer Science, University of Karlsruhe (KIT) Head, Chair of Embedded Systems, University of Tübingen (since 2012) Deputy spokesperson & spokesperson, Dept. of Computer Science, University of Tübingen (2014-2022) Board of Directors, FZI Research Center for Information Technology Research Interests Bringmann’s group pioneers hardware/software co-design for ultra-low-power Edge-AI , developing RISC-V based accelerators, compiler-aware neural-architecture search, and real-time perception systems for autonomous driving and medical devices. Key topics include: Energy-efficient AI architectures (“Edge AI”) and custom accelerator generation Robust collective perception under adverse weather (LiDAR, camera, V2X fusion) Timing/power-predictable embedded software and system-on-chip design automation Hardware-assisted security and safety for automotive & IoT systems AI-driven capsule endoscopy localization and anomaly detection Recent Publication Trends His 2024-2025 articles reveal a strong shift toward robust multimodal perception for automated driving (snow, fog, collective LiDAR fusion) and Edge-AI medical devices (capsule endoscopy with multi-task CNNs). Core contributions span dataset generation (SCOPE, SnowyLane), safety metrics (LSM), and fast performance modeling for DNN accelerators. Professional Service & Projects Executive/Steering Committees: IEEE/ACM DATE, CODES+ISSS, CASES, ITSS conferences EU CATRENE EDA roadmap chapter lead (Embedded Software & ESL-to-RTL) Principal investigator in Scale4Edge, OCEAN12, enerDAG and other national projects on energy-efficient sensorics and secure energy trading. His group maintains extensive collaborations with automotive and semiconductor industry, focusing on dependable, energy-aware embedded intelligence.