Invasive Computing Professors and Supervisors in Germany | ApplySharif

فیلترهای فعال:

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۳۱-۴۵ از ۴۲۷ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Damaris Zurellمشاهده پروفایل

استاد

University of PotsdamGermany

Prof. Damaris Zurell is a Full Professor of Ecology/Macroecology at the University of Potsdam, leading an interdisciplinary research group focused on biodiversity responses to global change. She holds a PhD in Geoecology (2011) and MSc in Geoecology (2007), both from the University of Potsdam. Her career includes roles as a junior research group leader (2018–2023), postdoctoral researcher (2011–2018), and awards such as the 2024 Henriette-Herz Scout and 2008 Junior Scientist Award. Research Interests: Bridging theoretical ecology, conservation science, and predictive modeling, Prof. Zurell explores how biodiversity adapts to climate change, focusing on terrestrial ecosystems (birds, mammals, plants). Her work emphasizes spatial eco-evolutionary dynamics, species distribution modeling (SDMs), and invasive species management. Collaborative initiatives include ISIMIP (Terrestrial Biodiversity Sector Lead) and GEOBON’s biodiversity modeling working group. Publications & Trends: Recent work highlights SDM methodological advances, climate-driven range shifts, and niche dynamics in birds and plants. She prioritizes open science, co-developing tools like RangeShifter 2.0 and the ENM2020 course. Key Projects: DEBTs (detecting biodiversity drivers), NichePac (alien plant spread in the Pacific), BirdWatch (Copernicus-based habitat monitoring). Grants: DFG, HORIZON, and Swiss National Science Foundation-funded projects totaling over €10M. Labs & Teams: Her lab at the University of Potsdam collaborates globally, hosting postdocs, PhD students, and international fellows. Current openings include Humboldt Postdoc/Sabbatical positions focused on global change ecology.

پروفایل رسمی دانشگاه

Maria Paola Forteمشاهده پروفایل

پژوهشگر

Max Planck Institute for Intelligent SystemsGermany

Maria Paola Forte is a Doctoral Researcher at the Max Planck Institute for Intelligent Systems, working across the Haptic Intelligence and Perceiving Systems departments. She holds a BSc in Biomedical Engineering from the University of Genova and an MSc in Bioengineering from Politecnico di Milano. Her PhD research focuses on developing interdisciplinary assistive technologies, particularly for sign language capture, combining computer vision with sensor-based approaches. Her research interests center on creating technology for people with sensory or motor deficits, with applications in robotic surgery and human-computer interaction. Key areas include assistive device development, motion capture systems, and haptic feedback interfaces. Her work leverages expertise in biomedical engineering, machine learning, and real-time systems. Publications consistently demonstrate interdisciplinary work in surgical robotics and accessibility technology. Recent articles show a progression toward human-centered applications of computer vision, with emerging focus on wearable bioimpedance sensing and avatar reconstruction for sign language.

پروفایل رسمی دانشگاه

Thomas Stäckerمشاهده پروفایل

استاد

Potsdam University of Applied SciencesGermany

Prof. Dr. Thomas Stäcker is a Part-time Professor for Digital Humanities at the Department of Information Sciences, University of Applied Sciences Potsdam. He serves as Director of the University and State Library Darmstadt (since 2017) and Deputy Director of the Herzog August Library Wolfenbüttel (since 2009). His career spans roles as a librarian at Herzog August Bibliothek (since 1998) and Johannes a Lasco Library in Emden (1997-1998). Education: Master's degree in History of Philosophy and Latin (1991), doctorate (1994) from TU Braunschweig, University of Essex, and University of Osnabrück Research: Digital Humanities, digitization of early printed books, XML/TEI encoding, OCR technologies, and cultural heritage preservation Leadership: Key roles in major digitization projects (e.g., VD17, Dünnhaupt Digital) and digital library development His work bridges library science with scholarly research, emphasizing open access, digital editions, and metadata standards. He has authored/co-authored numerous monographs, including the 2015 'Grenzen und Möglichkeiten der Digital Humanities' and the 2016 Festschrift chapter on open access. Stäcker co-edited digital editions like Christoph Heidmann's Oratio de Bibliotheca Julia (2013) and maintained active engagement through blogs like 'dhd-blog.org' (2015 post on humanities research data).

پروفایل رسمی دانشگاه

Kathrin Flaßkampمشاهده پروفایل

استاد

Saarland UniversityGermany

Kathrin Flaßkamp is a Professor at Saarland University, specializing in the Department of Systems Engineering. Her work focuses on modeling and simulation of technical systems, with applications spanning robotics, optimal control, and biomedical engineering. She is based at Campus A5 1, Room 1.04, Saarbrücken. Her research integrates control theory, artificial intelligence, and optimization to address challenges in mobile robotics, autonomous vehicles, and medical devices. A key trend in her recent articles involves leveraging model predictive control, neural networks, and Koopman operators for energy-efficient and cooperative trajectory planning. She also explores applications in stereotactic neurosurgery using continuum robots, emphasizing precision and adaptability. Her work frequently bridges theoretical advancements with real-world engineering problems, including systems with symmetries, multi-agent coordination, and data-driven methods for dynamical systems. Despite no explicit awards listed, her contributions to optimal control and robotics are evident in her extensive publication record.

پروفایل رسمی دانشگاه

Barbara Wohlmuthمشاهده پروفایل

استاد

Technical University of MunichGermany

Prof. Barbara Wohlmuth is a full professor in Numerical Mathematics at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. She leads the International Graduate School of Science and Engineering at TUM and has held professorships at Stuttgart, Darmstadt, and Berlin universities. Her research focuses on numerical simulation of partial differential equations, multiscale solvers, and coupled multi-field problems with applications in engineering. Education: Studied mathematics at TUM and Université Joseph Fourier in Grenoble, received her doctorate from TUM in 1995, and completed habilitation in Augsburg. Visiting professorships in USA, France, and Hong Kong. Research interests include discretization techniques, predictive modeling, and interdisciplinary collaboration with engineering disciplines. Notable achievements: 2012 Gottfried Wilhelm Leibniz Prize (Germany’s highest academic honor in sciences), 2005 Sacchi-Landriani Prize. Publications emphasize advanced numerical methods in fluid dynamics, geophysics, and biomedical engineering. Active in editorial roles for international journals and scientific committees across Europe and USA. Elected member of Bavarian and European Academies of Sciences. Key contributions include: Development of robust numerical algorithms for exascale simulations Pioneering work in coupled multi-physics modeling Innovative methods for computational contact mechanics Leadership in graduate education initiatives

پروفایل رسمی دانشگاه

Karl Schmidمشاهده پروفایل

استاد

University of HohenheimGermany

Karl Schmid is a W3 Professor of Crop Plant Biodiversity and Breeding Informatics at the University of Hohenheim's Institute of Plant Breeding, Seed Science and Population Genetics within the College of Agricultural Sciences. His research integrates evolutionary genetics, population genomics, and machine learning to address agricultural challenges. Ph.D. in Biology, University of Munich (1996) Postdoctoral Research, Cornell University (1997-1999) Emmy-Noether Research Group, Max Planck Institute of Chemical Ecology (2000-2006) Group Leader, Leibniz Institute of Plant Genetics (2006-2008) Professor of Genetics, Swedish Agricultural University (2008) His research focuses on crop biodiversity conservation, evolutionary genetics of plant pathogens, and breeding informatics applications. Current work leverages deep learning for phenotyping (quinoa panicles, barley genomics) and analyzes pathogen evolution (Exserohilum turcicum in maize). His team actively develops computational tools like GGoutlieR for geo-genetic pattern detection. Recent publications demonstrate strong trends in applying AI to agricultural genomics, particularly in quinoa improvement and pathogen surveillance. His group leads the EU H2020 INVITE project on molecular markers in plant variety protection and organizes international symposia like the 2024 Quinoa Symposium at Hohenheim. Head of Crop Biodiversity and Breeding Informatics Group Principal Investigator, EU H2020 INVITE project Organizer, International Quinoa Symposium 2024

پروفایل رسمی دانشگاه

Masahiro Ryoمشاهده پروفایل

استاد

Leibniz Centre for Agricultural Landscape ResearchGermany

Masahiro Ryo is a Professor of Environmental Data Science at Brandenburg University of Technology (BTU) and leads the working group "Artificial Intelligence for Smart Agriculture" at the Leibniz Centre for Agricultural Landscape Research (ZALF). His research integrates machine learning with ecological systems to address global sustainability challenges, focusing on biodiversity, soil health, and AI-driven agricultural solutions. His work spans environmental data science, ecosystem services, and smart agriculture. Key themes include explainable AI for biodiversity monitoring, soil organic carbon prediction, and machine learning applications in ecological modeling. Recent publications highlight trends in environmental AI, with applications in yield mapping, fungal taxonomy, and global change ecology. He emphasizes the integration of ecological theory with deep learning to tackle small-data problems and improve model transferability. Contact: masahiroryo@gmail.com | Personal Website

پروفایل رسمی دانشگاه

Sebastian Boschمشاهده پروفایل

پژوهشگر

University of HamburgGermany

Dr. Sebastian Bosch serves as Manager of the Mobile Lab at the University of Hamburg's Centre for the Study of Manuscript Cultures (CSMC). He leads material analysis initiatives for cultural heritage artifacts through advanced scientific instrumentation. His roles include managing XRF and FTIR spectrometers in the Mobile Lab, and contributing to the Cluster of Excellence 'Understanding Written Artefacts' (2019–2025). Key projects include the Palm-Leaf Manuscript Profiling Initiative and material analysis of medieval manuscripts. Bosch holds a PhD in material science and has extensive experience in non-destructive testing techniques. His work bridges archaeometry, digital humanities, and conservation science. Research interests focus on multispectral imaging, pigment characterization, and technological applications for cultural heritage preservation. He collaborates internationally on projects like the Atri Fragment Revisited and Squarcialupi Codex analysis. Technical expertise includes XRF spectroscopy, infrared microscopy, and software development for pattern analysis in manuscripts. Has presented over 27 academic activities, including lectures on Mobile Lab methodologies and material analysis workshops. Manages laboratory equipment worth millions euros, supporting interdisciplinary research. Supervises technical operations for dozens of manuscripts annually through the Mobile Lab's fieldwork capabilities. Awards: No formal academic awards listed, though work has been recognized through high-impact publications in journals like Manuscript Studies and i-com .

پروفایل رسمی دانشگاه

Kuangyu Shiمشاهده پروفایل

دانشیار

Technical University of MunichGermany

Priv. Doz. Dr. Kuangyu Shi is an Associate Professor and Senior Lecturer at the Chair for Computer-aided Medical Procedures, School of Computation, Information and Technology (CIT), Technical University of Munich (TUM). He also serves as Chief Medical Physicist and Head of the Lab for Artificial Intelligence & Translational Theranostics at the Department of Nuclear Medicine, Inselspital, University of Bern. His research focuses on translational molecular imaging computing, AI in nuclear medicine, digital twin technology, and computational biology for theranostics. Dr. Shi holds a Ph.D. from the Max-Planck Institute for Computer Science (2008) and an Habilitation from TU Munich (2018). He teaches courses including Introduction to Artificial Intelligence in Medical Imaging , Clinical Decision Support , and Advanced Medical Imaging . He is actively involved in professional organizations like the European Association of Nuclear Medicine (EANM) and the International Commission on Radiological Protection (ICRP), and serves on editorial boards for journals such as Eur J Nucl Med Mol Imaging . His research projects include the DHM (German Heart Center Munich) lab, NARVIS Lab, and computational surgineering. He supervises student projects in AI-driven treatment planning, low-dose imaging, and early diagnosis of neurodegenerative diseases. His work bridges clinical needs with advanced computational methods, emphasizing AI and medical imaging innovations.

پروفایل رسمی دانشگاه

Ursula Klingmüllerمشاهده پروفایل

استاد

Heidelberg UniversityGermany

Prof. Dr. Ursula Klingmüller is a Professor at Ruprecht-Karls-Universität Heidelberg and Head of the Division Systems Biology of Signal Transduction (B200) at the German Cancer Research Center (DKFZ) in Heidelberg since 2007. She holds a Venia Legendi in Cell Biology (Heidelberg University, 2004) and Molecular Biology & Genetics (University of Freiburg, 2000). Her career spans leadership roles in systems biology, integrating computational and experimental approaches to understand cellular signaling networks in cancer and other diseases. Education: Diploma in Molecular Biology, Cell Biology, and Virology (University of Heidelberg, 1988) Bachelor of Science (University of Bayreuth, 1985) Doctoral Thesis in Molecular Biology (Heidelberg University, 1992) Research Interests focus on systems biology approaches to signal transduction, particularly the JAK2/STAT5, AKT/ERK, and TGF-β pathways, their roles in cell proliferation, cancer invasion, and dynamic threshold regulation. Her work emphasizes computational modeling of signaling networks and their integration with clinical applications in precision medicine. Key Scientific Contributions include elucidating the context-specific dynamics of ERK phosphorylation, defining the regulatory roles of BAMBI in TGF-β signaling, and advancing personalized dose prediction models for erythropoietin therapies. Her publications reflect interdisciplinary research bridging molecular mechanisms with quantitative modeling. Scientific Awards: FEBS Anniversary Prize (1997) DAAD-Fellowship (1986) DFG-Research Fellowship (1993-1994) Election to the German Ethics Council (2016) Labs & Teams include the Systems Biology of Signal Transduction division at DKFZ, collaborations with the German Cancer Research Center, and leadership in the Master Program Molecular Biosciences at Heidelberg University. She also serves on editorial boards, including as Associate Editor for Nature Systems Biology and Applications , and chairs the Executive Women's Initiative at DKFZ.

پروفایل رسمی دانشگاه

Patrick Czorlichمشاهده پروفایل

مدرس ارشد

University Medical Center Hamburg-EppendorfGermany

Patrick Czorlich is a Senior physician and Medical Specialist in Neurosurgery at the University Medical Center Hamburg-Eppendorf (UKE), working within the Head and Neurocenter Department of Neurosurgery. He holds dual qualifications as a Prüfarzt (clinical trial physician) for both medicinal products and medical devices under German law. His clinical expertise spans neurosurgery with a specialized focus on neurosurgical intensive care. Dr. Czorlich's research interests are extensive within neurosurgical domains, with particular emphasis on traumatic brain injury, subarachnoid hemorrhage, neurocritical care, cerebrospinal fluid dynamics, and intracranial hemorrhage management. His work demonstrates a strong translational approach, bridging clinical practice with research to improve patient outcomes in complex neurosurgical cases. He has developed expertise in areas such as shunt dependency prediction, Terson Syndrome, and the management of complications following aneurysmal subarachnoid hemorrhage. Analysis of his recent publications (2023-2025) reveals a consistent research trajectory focused on improving outcomes in neurocritical care patients. His work spans clinical trials (including the FINISHER trial), predictive analytics using machine learning, management of complications following subarachnoid hemorrhage, and innovative approaches to neurosurgical interventions. Notably, his research often incorporates interdisciplinary collaboration, particularly with ophthalmology for Terson Syndrome studies and with critical care specialists for comprehensive patient management. His scientific contributions demonstrate expertise in both clinical neurosurgery and research methodology, with publications appearing in high-impact journals across neurosurgery, critical care, and related specialties. The consistent output of research and clinical studies indicates active engagement in advancing neurosurgical practice and patient care protocols.

پروفایل رسمی دانشگاه

Sandra Martinمشاهده پروفایل

پژوهشگر ارشد

Max Planck Institute for Human Cognitive and Brain SciencesGermany

Sandra Martin is a Postdoctoral Researcher at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, where she works in the Lise Meitner Research Group Cognition and Plasticity. Her research combines neuroimaging and neuromodulation methods with graph theory, large language models, and behavioral modeling to explore cognitive changes across the adult lifespan, with a particular focus on age-related changes in memory processes and their interaction with executive functions. Education: PhD in Cognitive Neuroscience (2018-2023) from the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig M.Sc. in European Master of Clinical Linguistics (2014) from University of Potsdam, Germany & University of Groningen, The Netherlands B.A. in Linguistics (2012) from Humboldt University Berlin, Germany Research Interests: Dr. Martin's research focuses on cognitive aging , neurolinguistics , and network neuroscience . She investigates how domain-general networks contribute to language prediction and semantic cognition across the adult lifespan. Her work often employs non-invasive brain stimulation techniques like transcranial magnetic stimulation (TMS) to understand the causal roles of specific brain regions in cognitive processes. She is particularly interested in how executive resources shape language predictability effects and how these relationships change with age. She's a strong advocate for open and reproducible research practices including preregistration and registered reports. Her recent publications reveal a strong trend toward understanding the neural mechanisms of semantic cognition and language processing across the lifespan. She combines multiple methodologies including fMRI, TMS, graph theory, and computational modeling to investigate how brain networks reorganize with age and how this affects cognitive performance. Her work has important implications for understanding cognitive aging and developing interventions for language disorders like aphasia. Scientific Awards: Doctoral fellowship from the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes) Advising and Grants: Dr. Martin has been involved in several research projects, including a DFG-funded project on 'The role of domain-general networks in natural language predictions' together with Prof. Dr. Gesa Hartwigsen (Leipzig University) and Prof. Dr. Jonas Obleser (University of Lübeck). While there's no explicit mention of students she's formally advising, her role as a postdoc suggests she likely mentors junior researchers. She actively promotes open and reproducible research practices and co-organized a symposium on Good Scientific Practice titled 'Doing Good – Scientific Practice under Review'. Labs and Teams: Dr. Martin is part of the Lise Meitner Research Group Cognition and Plasticity at the Max Planck Institute for Human Cognitive and Brain Sciences. She collaborates with researchers from Leipzig University and University of Lübeck. Her work often involves interdisciplinary teams combining expertise in cognitive neuroscience, linguistics, and clinical neurology, particularly in studying aphasia and language recovery after stroke. Her research group maintains open science practices with code and data available on GitLab and OSF.

پروفایل رسمی دانشگاه

Sebastian Maierمشاهده پروفایل

پژوهشگر

University of Erlangen–NurembergGermany

Sebastian Maier is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-University Erlangen-Nuremberg, part of the Faculty of Engineering. His work focuses on invasive computing, many-core architectures, and distributed systems. He has contributed to projects like the iRTSS (Invasive Run-Time Support System) and the OctoPOS kernel, emphasizing system software for resource arbitration and latency-aware systems. Maier has taught courses such as System-level Programming in C and Operating Systems exercises from 2013 to 2019. His research interests include hardware-software co-design, embedded systems security, and runtime systems for future architectures. He has advised students on thesis topics like distributed TCP/IP stacks and asynchronous communication interfaces in many-core systems. His recent work explores dynamic hardware-managed queues (DySHARQ) and resource arbitration mechanisms for tile-based architectures. These efforts aim to optimize parallel processing and real-time performance in embedded systems. Maier has also collaborated on latency-aware operating systems (LAOS) and security in embedded systems (SESES). Key Projects: iRTSS, AAM (Asynchronous Abstract Machines), SHARQ, LAOS Lab/Teams: Part of the Invasive Computing SFB/TRR 89 project (Project C1) His publications span conferences like ROME, ROSS, and HiPEAC, addressing challenges in many-core kernel design, scalability, and hardware-accelerated systems. Current research trends focus on adapting system software to heterogeneous and dynamic many-core environments.

پروفایل رسمی دانشگاه

Khalil Esperمشاهده پروفایل

پژوهشگر

University of Erlangen–NurembergGermany

Khalil Esper is a Researcher at the Department of Computer Science, Faculty of Engineering, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), where he works at the Chair of Computer Science 12 (Hardware-Software Co-Design). His research focuses on verification, energy optimization, and runtime requirement enforcement in embedded systems and MPSoCs. His educational background includes: Informatics Engineering from Aleppo University, Syria (2010-2015) European Master in Embedded Computing Systems (EMECS) from Rhineland-Palatinate University of Technology Kaiserslautern-Landau (Germany) and Norwegian University of Science and Technology (Norway) (2017-2019) Esper's research interests center around verification and model checking, energy optimization on MPSoC, real-time systems and embedded systems, and autonomic computing. His work particularly focuses on runtime requirement enforcement mechanisms for non-functional properties in multi-processor systems-on-chip, with applications extending to medical devices and human-robot interaction systems. He has developed approaches using finite state machines, reinforcement learning, and evolutionary algorithms to ensure system properties are maintained during execution. His publication record shows a strong trend toward applying formal methods and runtime enforcement techniques to increasingly complex systems, with recent work expanding into safety-critical applications like orthoses and human-robot interaction. The interdisciplinary nature of his research bridges computer science, embedded systems engineering, and biomedical applications. Esper has supervised multiple theses including: Sascha H.: Runtime Requirement Enforcement of Non-Functional Requirements on MPSoCs Using Fuzzy Logic (2022) Iana S.: Feedback-Based Control of Non-functional Program Execution Properties on Linux (2023) Philipp L.: Runtime Requirement Enforcement of Functional and Non-Functional Requirements of a Knee Orthosis Based on a Digital Twin (2024) Avinash N.: Runtime Requirement Enforcement of Safety Properties of an Ankle Orthosis Based on a Digital Twin (2024) Zhiyi T.: Generation of Environment FSMs Using Machine Learning Techniques (2025) Moustafa A.: Runtime Requirement Enforcement of Safety Properties of Human-Robot Interaction Based on a Digital Twin (2025) Florian K.: Runtime Requirement Enforcement of Safety Properties of Human-Robot Interaction (2025) He has been actively teaching courses on Approximate Computing and Embedded Systems since the 2021/2022 academic year, demonstrating his commitment to academic instruction alongside his research activities. Esper is involved in the InvasIC research project, part of the DFG Transregional Collaborative Research Center 89 on Invasive Computing, which explores novel approaches to resource management in parallel computing systems.

پروفایل رسمی دانشگاه

Lars Küpferمشاهده پروفایل

استاد

RWTH Aachen UniversityGermany

Physiologically-Based Pharmacokinetic (PBPK) Modelling
Systems Biology
Pharmacology
+۳ مورد دیگر

Univ.Prof.Dr.rer.nat. Lars Küpfer is a Professor at the Institute for Systems Medicine with focus on Organinteraction at RWTH Aachen University Hospital. His research combines physiologically-based pharmacokinetic (PBPK) modelling at whole-body level with systems biology effect models at cellular/tissue scale, particularly studying the gut-liver-axis and quantitative systems pharmacology/toxicology. He has a strong background in chemical engineering (TH Karlsruhe, RWTH Aachen, Carnegie Mellon University) and computational systems biology from his PhD work at ETH Zurich on yeast metabolism. Since 2005 at Bayer AG and 2011 at RWTH Aachen, he has developed multiscale models for drug development applications. Current focus areas: PBPK modelling, systems biology of human/microbial metabolism, drug-induced toxicity prediction Recent article trends show specialization in liver/kidney pharmacokinetics, metabolic disease biomarkers, and cross-species drug translation Key collaborations include Bayer AG, PortaCellTec, EU-STANDS4PM consortium, and HeCaToS He actively mentors students and researchers like Ömer Faruk Bay, René, Ravi Jairam, and Ahenk Zeynep Sayin in systems medicine projects.

پروفایل رسمی دانشگاه