جستجوی استاد راهنمای دانشگاهی

• Ecological Epidemiology
• Wildlife Disease Dynamics
• Veterinary Epidemiology
• +۴ مورد دیگر

Dr. Martin Lange is part of the Project Group Ecological Epidemiology within the Department of Ecological Modelling at the Helmholtz Centre for Environmental Research (UFZ). His research focuses on computational epidemiology, particularly in wildlife and livestock systems. Key areas include disease transmission dynamics, surveillance strategies, and the development of predictive models for infectious diseases like African Swine Fever (ASF) and Bovine Viral Diarrhea Virus (BVDV). Affiliations: UFZ, Department of Ecological Modelling; EcoEpi research group. Education: PhD in Veterinary Epidemiology (2013, TU Bergakademie Freiberg). Research interests span ecological epidemiology, wildlife disease control, and the application of agent-based and individual-based models to understand pathogen spread. Notable contributions include modeling ASF in wild boar populations and BVDV eradication strategies in Ireland. Awards: Received the 2018 UFZ-Wissenstransferpreis (shared with H.H. Thulke) and the Konrad-Bögel-Nachwuchsförderpreis for his doctoral work on eco-epidemiology of wild boar diseases. Also recognized at the DACh Epidemiologietagung 2011. Publications: Over 50 peer-reviewed articles since 2006, emphasizing interdisciplinary approaches to disease modeling and environmental systems. Recent work includes digital twin frameworks for biodiversity monitoring and Python-based model coupling tools like FINAM. Labs/Teams: Active in the EcoEpi group and contributes to projects like BioDT (Biodiversity Digital Twin) and CauSES (Causation in Social-Ecological Systems).

Volker Grimmمشاهده پروفایل

استاد

• Ecological Modelling
• Agent-Based Modelling
• Pattern-Oriented Modelling
• +۵ مورد دیگر

Prof. Volker Grimm is a Professor in the Department Ecological Modelling at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. His research focuses on developing and applying ecological models to understand complex environmental systems, with a strong emphasis on individual-based and agent-based modelling approaches. Key areas include pattern-oriented modelling for predictive environmental decision-making, ecological theory exploration (e.g., resilience and stability), and model standardization through protocols like ODD. He leads projects such as VIBee (honeybee vitality monitoring) and BioDT (Biodiversity Digital Twin), leveraging AI and simulation models like BEEHAVE and FORMIND. Active in interdisciplinary initiatives like CauSES (causality in sustainability science), Grimm bridges ecological and social sciences. His work addresses global challenges like pesticide risk assessment, invasive species management, and climate change impacts on ecosystems. Notable achievements include the ODD protocol for model documentation, advancing ecological informatics, and contributions to EU projects such as CREAM (pesticide risk assessment) and BioDT (supercomputing for biodiversity). Collaborations span institutions like FORMIND and EcoEpi, with a focus on open-access publishing and model reusability.

Joanna Malukiewiczمشاهده پروفایل

پژوهشگر

• Evolutionary Biology
• Genomics
• Conservation Biology
• +۴ مورد دیگر

Dr. Joanna Malukiewicz is a Postdoctoral Researcher at the University of Hamburg, affiliated with the Faculty of Mathematics, Informatics and Natural Sciences and the Department of Biology. She works within the Institute of Animal Cell and Systems Biology, focusing on Evolutionary Immunogenomics. Her research emphasizes genomic studies of primates, particularly marmosets (Callithrix species), hybridization dynamics, microbiome analysis, and conservation genomics. Dr. Malukiewicz's work spans evolutionary biology, genomics, and biodiversity conservation. She investigates topics such as morphological variation in marmosets, genomic mechanisms driving dwarfism, and the impact of captivity on animal health. Her studies often combine genomic data with ecological observations to understand species adaptation and survival. Her recent publications highlight advancements in sequencing technologies, applications of genomics to conservation, and insights into zoonotic diseases in urban primate populations. She collaborates internationally, addressing challenges in endangered species management and sustainable biodiversity strategies. Dr. Malukiewicz holds no listed scientific awards but contributes actively to peer-reviewed literature and conservation initiatives. She is based at the Institute of Animal Cell and Systems Biology, Room 459, in Hamburg.

Anke Hoffmannمشاهده پروفایل

پژوهشگر

• Population Ecology
• Biodiversity Conservation
• Ecological Informatics
• +۳ مورد دیگر

Anke Hoffmann is a Researcher at the Museum of Natural History, Leibniz Institute for Evolution and Biodiversity Research in Berlin. She currently serves as Project Officer for Collection Cataloguing and Development in the Future Plan, coordinating research clusters and leading international projects like the 'Diversity and ecosystem function of small mammals in the Lower Oder Valley National Park.' Education: PhD in Zoology (Technical University of Braunschweig, 1999), Biology (Technical University of Braunschweig, 1994) Key Roles: EU BON Project Coordinator (2012-2017), EDIT Project Coordinator (2008-2011), Master's Program Coordinator in Namibia (2001-2008) Hoffmann's research focuses on population ecology of small mammals in the Lower Oder Valley National Park and biodiversity patterns in African arid and rainforest ecosystems . Her work bridges field research, biodiversity informatics, and policy frameworks. Publications reflect expertise in ecological monitoring , cybertaxonomy , and data policy for biodiversity. Recent projects emphasize digital transformation in museums and integrated biodiversity observation systems. She has contributed to international collaborations, including EU-funded initiatives (EU BON, EDIT) and global museum research summits. Hoffmann's career spans roles at the Botanical Garden & Museum of the Free University Berlin and the Institute for Wildlife Research at the University of Veterinary Medicine Hannover.

Kamran Safiمشاهده پروفایل

پژوهشگر

• Movement Ecology
• Macro-ecology
• Macro-evolution
• +۳ مورد دیگر

Dr. Kamran Safi is a Group Leader at the Max Planck Institute of Animal Behavior (Konstanz, Germany), holding a permanent position as a Senior Researcher (Principal Investigator) with the Computational Ecology Lab. He is also affiliated with the International Max Planck Research School (IMPRS) for Organismal Biology as a faculty member. Education: PhD in Biology (2007), University of Zürich: Thesis on social sexual segregation in bats MSc in Biology (2001), University of Zürich: Thesis on olfactory communication in Bechstein’s bats Bachelor’s in Biology (2000), University of Zürich Research Interests: Focus on movement ecology, macro-ecology, and macro-evolution. Key areas include analyzing animal-environment interactions using remote sensing and sensor data, modeling energy landscapes, and understanding biodiversity patterns. Methodological expertise includes computational ecology, probabilistic analysis, and interdisciplinary data fusion. Articles Summary: Recent work spans animal flight mechanics (e.g., golden eagles using gravity waves), conservation applications (e.g., vulture nesting habitat loss), and software development (e.g., move2 R package). Themes include climate impacts on movement, remote sensing for ecology, and energy efficiency in flight. Achievements: Pioneered MoveApps, an open analysis platform for tracking data. Authored over 40 peer-reviewed articles, with contributions to conservation protocols like the EDGE2 framework. Grants & Labs: Leads the Animal-Environment Interactions Lab and collaborates globally. Projects include studying vultures in drylands, eagle flight in the Alps, and developing tools like the SOS framework for Earth observation integration.

Michael Wehmöllerمشاهده پروفایل

استاد

• Dental Technologies
• Medical Device Innovation
• Biomechanics
• +۵ مورد دیگر

Prof. Dr.-Ing. Michael Wehmöller is a full Professor at the Faculty of Engineering and Computer Science, Osnabrück University of Applied Sciences. His career spans roles as a technical director in medical device companies and interdisciplinary research leadership in DFG/EU-funded programs, integrating CAD/CAM, additive manufacturing, and biomechanics. Research interests focus on dental technology , medical device innovation , biomechanics , biomaterials , and 3D printing . His work bridges engineering precision with clinical applications , particularly in craniofacial reconstruction and selective laser melting for implants. The 15 most recent publications highlight trends in computer-aided implant design biodegradable materials testing automated surgical planning with a strong emphasis on clinical translation of engineering solutions. Scientific recognition includes Innovationspreis NRW (1996) Innovationspreis Ruhrgebiet (2002) and ongoing membership in VDI medical technology panels . He leads the Digitale Dentale Technologien lab, focusing on next-generation implant systems.

Muhammed-Ugur Karagülleمشاهده پروفایل

پژوهشگر

• Medical Informatics
• AI in Healthcare
• Mobile Health (mHealth)
• +۳ مورد دیگر

Muhammed-Ugur Karagülle is a Researcher at the Institute of Computer Science, Department of Databases and Information Systems at Freie Universität Berlin. His work focuses on developing AI-driven healthcare solutions and information systems for medical and veterinary applications. He is affiliated with the university's research group specializing in databases and information systems, contributing to advanced projects such as AINA, SurgeRate, and mHealthAtlas. Research interests include medical informatics, mobile health (mHealth) platforms, veterinary diagnostics systems, and AI integration in healthcare workflows. His projects address challenges in disease diagnosis (e.g., schistosomiasis), surgical performance evaluation, and regulatory frameworks for digital health applications. Key contributions include the design of HaLowNet (a WiFi-based emergency healthcare system), the PRECOSE grayscale conversion method for medical scoring boards, and collaborative platforms like mHealthAtlas for evaluating mHealth applications. His work emphasizes interdisciplinary collaboration and human-centered design principles. Currently, he is involved in projects such as XRay2Model, mCIS.vet (mobile clinical information systems for veterinary medicine), and process optimization for digital health applications. Office hours are held weekly, requiring prior email registration.

• Political Sociology
• Security Studies
• Biopolitics
• +۵ مورد دیگر

Sven Opitz is a Professor at the Department of Sociology, Philipps University of Marburg, specializing in political sociology and social analysis. He leads subproject C12 on pandemic situations and has held visiting positions at institutions like VU Amsterdam and the University of Edinburgh. His work bridges sociology, legal theory, and biopolitics. PhD in Sociology (summa cum laude), University of Basel (2010) M.A. in Political Science, Sociology, and Modern German Literature, University of Hamburg (2003) Research focuses on biopolitics, epidemic space, temporal governance, and symbiosis in biosocial contexts. He examines how security dispositifs and technological infrastructures mediate social and ecological relationships, particularly during pandemics. His recent publications analyze epidemic ecologies, pandemic preparedness, and the spatial politics of disease control. Articles explore topics like digital pandemic modeling, health security infrastructures, and temporal politics in law and economy. Scholarship from Evangelisches Studienwerk Villigst (2005) Scholarship from Landesstiftung der Hansestadt Hamburg (2004) Opitz is co-editor of Soziale Systeme and collaborates with institutions like SYNMIKRO. He has organized international conferences on topics such as security dispositifs, epidemic ecologies, and Bruno Latour’s theories.

• Bacterial Infections
• Zoonotic Diseases
• Public Health
• +۲ مورد دیگر

Dr. Lisa Sprague leads a research group at Germany's Institute of Bacterial Infections and Zoonoses (IBIZ), specializing in bacterial zoonoses and public health. Her veterinary medical background informs interdisciplinary work spanning: Primary Affiliation: Head of Working Group at IBIZ, Naumburger Str. 96a, 07743 Jena Contact: Tel: +49 3641 804-2462, Fax: +49 3641 804 2228 Her research demonstrates remarkable breadth across three domains: Health Policy & Stigma Research Investigates structural determinants in HIV/TB management through community-led frameworks. Recent work establishes methodological standards for intersectional stigma research and participatory praxis in marginalized populations. Oncological Virology & Immunology Examines oncolytic virus interactions with tumor microenvironments and dendritic cell-based vaccination strategies, highlighting immune modulation challenges. Emerging Technologies Explores molecular computing architectures and digital health adoption barriers, including telehealth infrastructure and personal health records. Publication analysis reveals consistent focus on equity-driven methodologies, with 2020-2022 outputs emphasizing: HIV stigma measurement frameworks Cognitive foundations of numerical reasoning Molecular information storage systems

• Animal Breeding
• Livestock Husbandry
• Machine Learning
• +۳ مورد دیگر

Christian Post is a research associate at the Institute of Animal Breeding and Animal Husbandry , part of the Christian-Albrechts-University of Kiel . His work focuses on applying machine learning and sensor systems to monitor and predict health disorders in dairy cows and swine, particularly through automated detection of diseases and precision livestock farming . He is also involved in environmental sustainability projects like pigNplay , which simulates nitrogen emission reduction strategies in swine farming. Doctorate in Agriculture from University of Bonn Master's and Bachelor's in Agriculture and Food Management from Osnabrück University of Applied Sciences His research interests span machine learning applications , sensor technology , and informatics in livestock systems . Recent work includes: Deep convolutional neural networks for calf disease detection Benchmark datasets for automated pig detection Comparative modeling of lameness and mastitis prediction

Michael Kochمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Computer-Supported Cooperative Work (CSCW)
• Collaboration Technology
• +۳ مورد دیگر

Michael Koch is a Professor of Human-Computer Interaction (HCI) at the University of Bundeswehr Munich in Germany. He holds a doctorate (PhD) and Habilitation in Informatics from TU München. His research focuses on collaboration technologies, socio-technical systems design, and integrating user interface innovations for team and community support. He leads the Cooperation Systems Center Munich (CSCM) and chairs the HCI Special Interest Group in the German Computing Society (GI). He has held industry roles at Xerox Research Centre Europe and academic positions at TU München, University of Dortmund, and University of Bremen. Education: PhD in Informatics, TU München (1997) Habilitation in Informatics, TU München (2003) Research Interests: Designing usable systems for work and leisure contexts Computer-Supported Cooperative Work (CSCW) Socio-technical system integration for team collaboration Human-Computer Interaction innovations Professional Roles: Fellow of the German Computing Society (GI) Member of ACM SIGCHI Chapter and EUSSET boards Editorial roles in i-com Journal and Lecture Notes in Informatics Advising & Collaboration: Guided over 10 PhD/Master’s students Active in European cyber defense research through Forschungszentrum Cyper Operations His research bridges technical innovations with human-centric design principles, emphasizing real-world applicability in enterprise and community settings.

Marc Aubrevilleمشاهده پروفایل

استاد

• Digital Pathology
• Artificial Intelligence in Medicine
• Visual Computing
• +۴ مورد دیگر

Professor Marc Aubreville is a Professor of Applied Computer Science with a specialization in Visual Computing at Flensburg University of Applied Sciences. Appointed in September 2024, he leads the FLAIR (Flensburg Artificial Intelligence Research Visual Computing) research group and serves as spokesperson for the STEM research team of the Schleswig-Holstein Promotional College (PKSH), representing 45 professors from six universities across the state. Aubreville's research centers on digital pathology and AI-assisted medical diagnostics, developing systems that help pathologists identify malignant tumor regions through abnormal cell division patterns. His DFG-funded "Digital Pathology" project is particularly notable as only approximately 1% of DFG funding goes to universities of applied sciences. His work began with veterinary applications using canine tumor samples before transitioning to human medicine, demonstrating the translational potential of AI in healthcare. His publication record from 2024-2025 reveals significant contributions across computational pathology, human-AI collaboration dynamics, and veterinary medical imaging. Key research themes include confirmation bias in AI-assisted diagnosis, automation bias under time pressure, and the development of comprehensive datasets for training AI in histopathology. His work bridges computer science, medicine, and veterinary science with practical applications for improving diagnostic accuracy. Key Research Contributions: AI systems to assist pathologists in identifying malignant areas in tissue samples Creation of standardized reporting guidelines for AI-based image analysis Development of datasets for mitosis detection in breast cancer Investigation of human factors in AI-assisted medical decision-making Professional Engagement: Spokesperson for PKSH STEM research team since March 2025 Collaboration with institutions in Berlin and Vienna for data collection Active participation in establishing methodological standards for AI in pathology

• Ecological Modelling
• Agent-Based Systems
• Epidemiological Modelling
• +۴ مورد دیگر

Dr. Vianney Sicard is a Researcher in the Department of Ecological Modelling at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany, leading the Ecological Epidemiology research group. He holds a PhD in Epidemiological Modelling and Artificial Intelligence (2019-2022) from INRAE, Nantes, and prior engineering degrees in computer science (2018, École Polytechnique de l'Université de Tours) and software design (2012). His research focuses on agent-based modelling, ecological epidemiology, and computational epidemiology, including applications to livestock disease dynamics and multi-level simulation frameworks. Key contributions include the EMULSION modelling framework and work on Bayesian networks for veterinary diagnostics. Sicard's interdisciplinary work bridges computer science, environmental science, and public health, with publications in journals like PLoS Computational Biology and PAAMS. He collaborates with teams like FORMIND and EcoEpi, addressing challenges in sustainable systems and policy design under global change.

Frank Niemeyerمشاهده پروفایل

پژوهشگر

• Computational Biomechanics
• Computational Biology
• Mathematical Biology
• +۳ مورد دیگر

Dr. Frank Niemeyer is a Researcher at the University of Ulm's Ulm Center for Scientific Computing. He has been a Postdoc and UZWR employee since 2005, contributing to computational biomechanics and medical imaging research. His work focuses on fracture healing simulations, spinal disorders, and AI-driven medical analysis. Education: Diploma in Informatics (2007): Thesis on algorithms for fracture healing evaluation (in German) PhD (2013): Dissertation on 'Simulation of Fracture Healing' (English) Research Interests : Computational Biomechanics, Mathematical Biology, Systems Biology, and Scientific Computing. His projects include developing AI models for spinal MRI analysis, predicting bone healing outcomes, and optimizing surgical implants using simulations. Articles Trends : Recent work emphasizes AI applications in musculoskeletal imaging (e.g., automated segmentation of lumbar muscles) and biomechanical modeling of spinal disorders. Key studies address cervical spine degeneration, Modic changes, and fracture healing prediction. Awards : ISSLS Prize in Bioengineering Science (2021) Lab/Teams : Core member of the Ulm Center for Scientific Computing, collaborating on projects like 'InstantSpine' and 'METAmorph' simulation frameworks.

Christopher Gundlerمشاهده پروفایل

پژوهشگر

• Medical Informatics
• Parkinson's Disease
• Data Synthesis
• +۳ مورد دیگر

Christopher Gundler is a researcher affiliated with the University of Hamburg's Faculty of Medicine, specifically within the Institute for Applied Medical Informatics at the Center for Experimental Medicine. His work focuses on integrating cutting-edge technologies like wearable sensors, machine learning, and synthetic data generation into healthcare applications. Key research areas include Parkinson's disease monitoring through innovative devices such as e-textiles and sensor-equipped caps, 3D-printed drug development with machine learning assistance, and privacy-preserving data synthesis methodologies. He contributes to both fundamental research in biomedical informatics and translational projects targeting clinical needs. Gundler collaborates across disciplines, addressing challenges in multimodal data integration, ethical data use, and reproducible evaluation frameworks for healthcare technologies. His research employs advanced computational techniques such as Bayesian forecasting for animal welfare studies and large language models for clinical data visualization platforms. He actively explores the ethical and technical boundaries of leveraging secondary clinical data for public health insights, while advancing personalized medicine through patient-individual drug manufacturing solutions. Gundler's work bridges gaps between engineering innovations and clinical practice, aiming to improve patient outcomes through technology-driven healthcare solutions.