جست‌وجوی استاد و پژوهشگر

• Augmented Reality
• Medical Imaging
• Human-Computer Interaction
• +۳ مورد دیگر

Ulrich Eck is a researcher affiliated with the Technical University of Munich, Germany. His work focuses on advancing augmented reality (AR) and mixed reality (MR) technologies with applications in medical imaging, surgical assistance, and human-computer interaction. He collaborates extensively with institutions like the University of Hamburg and researchers such as Nassir Navab, a prominent figure in medical imaging. His research interests center on developing immersive visualization techniques, haptic interfaces, and collaborative systems. Key projects include enhancing robotic ultrasound acceptance via conversational agents, optimizing telepresence systems for surgical training, and creating semantic models for operating room environments. Eck also contributes to foundational AR frameworks like Duplicated Reality for co-located collaboration and visuo-haptic integration. Publications span journals like IEEE Transactions on Visualization and Computer Graphics and conferences such as ISMAR and MICCAI, reflecting a strong emphasis on medical applications. His work bridges technical innovation with clinical usability, aiming to improve surgical training, patient care, and interdisciplinary collaboration. Eck holds leadership roles in academic communities, including co-chairing the ISMAR 2024 Science and Technology Program. His contributions span over 80 peer-reviewed publications, highlighting sustained impact in AR/MR research.

Anirban Mukhopadhyayمشاهده پروفایل

پژوهشگر

• Medical AI
• Image-guided Surgery
• Medical Image Segmentation
• +۳ مورد دیگر

Anirban Mukhopadhyay is a leading researcher in Medical AI at TU Darmstadt, Germany, heading the Medical & Environmental Computing (MEC-Lab). His work focuses on developing AI systems for image-guided diagnosis and surgery. He collaborates with RACOON, a consortium of 38 German hospitals, and hosts the AI-Ready Healthcare podcast. His research spans neural cellular automata (NCA), federated learning, and medical image segmentation. Key projects include: MEC-Lab : Specializes in assistive AI for healthcare, emphasizing bio-inspired algorithms and low-power device applications. RACOON : Combats COVID-19 through AI-driven radiology collaboration among German hospitals. Publications : Over 100 peer-reviewed papers on medical imaging, surgical robotics, and AI ethics, with a focus on NCA-based solutions and federated learning frameworks. Research interests emphasize: Medical image segmentation (e.g., Med-NCA , GAUDA ) Continual learning for evolving medical data AI ethics and human-AI collaboration in clinical settings His work bridges theoretical advances (e.g., NCA) with practical applications in surgery, radiology, and pathology. Recent trends show a focus on edge computing, robustness in AI systems, and interdisciplinary collaboration with clinicians.

Daniel Moldtمشاهده پروفایل

پژوهشگر

• Petri Nets
• Agent-Oriented Systems
• Software Engineering
• +۹ مورد دیگر

Dr. Daniel Moldt is a Research Associate and Head of the Laboratory for Agent- and Organization-Oriented Systems (LAOS) at the University of Hamburg's Department of Computer Science (Faculty of MIN). His work focuses on Petri nets, agent-oriented systems, formal methods, and software engineering. He contributes to the development of the Renew toolset for Petri net modeling and simulation. Research interests include: Petri net applications in workflow and agent systems, distributed systems, emotion in computing, formal verification, and model-driven engineering. He has led projects like Socionics and contributed to DFG-funded research. Publications span over two decades, emphasizing Petri net theory, agent systems integration, and software architectures. He advises students on thesis projects related to distributed systems and formal methods. Active in academic service, he serves on doctoral committees and participates in international workshops/conferences.

Ralf Ramsauerمشاهده پروفایل

پژوهشگر ارشد

• Modern Operating System Architectures
• Embedded Systems
• Embedded Virtualisation / Hardware Partitioning
• +۳ مورد دیگر

Dr.-Ing. Ralf Ramsauer is a postdoctoral researcher at the OTH Regensburg , affiliated with the Systems Architecture Research Group . His work focuses on Modern Operating System Architectures , Embedded Systems , and Mixed-Criticality System Design , with a particular interest in hardware/software co-design and real-time constraints. Academic Rank: Research Fellow Email: ralf.ramsauer@oth-regensburg.de Ramsauer's research explores Embedded Virtualisation , Hardware Partitioning , and Quantum-Classical Co-Design , often leveraging open-source development practices. His publications reveal trends in Database/OS Stack Optimization , Security Vulnerability Analysis , and Real-Time System Evaluation . Scientific Awards: 2013: Best Graduation Award in Computer Engineering, OTH Regensburg He has supervised numerous students across Bachelor's and Master's theses , including work on RISC-V Implementation , Linux Kernel Modules , and Hypervisor Optimization .

Katrin Bergenerمشاهده پروفایل

مدرس ارشد

• Creativity Management
• Innovation Management
• Business Process Management (BPM)
• +۵ مورد دیگر

Dr. Katrin Bergener is a Senior Lecturer at the Department of Information Systems , School of Business and Economics, University of Münster. She serves as Managing Director of the European Research Center for Information Systems (ERCIS) since May 2024 and previously held roles as Senior Academic Councillor (2023–2024) and Academic Councillor (2020–2023). Her work bridges information systems research with practice through projects like Digital Me (gender-focused IT career guidance) and AI-bility (AI awareness for schoolchildren). Doctorate in political science (2014–2023), Master's in General Linguistics (2001–2006) Specializes in creativity management , innovation processes , and virtual group dynamics Key projects: MASTIS (modernizing IS education), BPM Winter School (executive education), and EQUAL-IST (gender equality action plans) Her research has earned recognition including the VHB Textbook Award (2019) and Outstanding Paper Award (2008) . She supervises theses on topics spanning AI applications, fairness in information systems, and digital learning platforms.

• Oncology
• Radiology
• Medical Imaging
• +۳ مورد دیگر

Hellms, S. is a researcher at the German Cancer Research Center (DKFZ) specializing in radiology and oncology with focus on prostate cancer screening methodologies. Their work centers on optimizing multiparametric MRI applications for early cancer detection in younger male populations. Research interests include developing risk-adapted screening protocols using advanced imaging technologies, with particular emphasis on reducing unnecessary biopsies while maintaining detection rates for clinically significant prostate cancer. Their contributions to the PROBASE trial demonstrate how MRI accuracy is highly dependent on radiologist experience, suggesting double-reading protocols could significantly improve screening outcomes. Hellms participates in collaborative research examining the integration of MRI technology with traditional PSA testing, investigating how imaging can refine biopsy recommendations and reduce overdiagnosis. Current work explores the viability of prostate cancer screening initiation at age 45, addressing critical questions about appropriate screening age thresholds and diagnostic workflows.

• Stratigraphy
• Sedimentary Geology
• Integrated Reservoir Modeling
• +۷ مورد دیگر

Peter Süss is a Professor in the Department of Geosciences at the Faculty of Science, University of Tübingen, Germany. He is based at the Geo- and Environmental Research Center (GUZ) and has been a key figure in sedimentary geology and basin analysis research. His academic journey includes a PhD from the University of Bonn and postdoctoral work at both the University of Bonn and Harvard University. He advanced through the ranks at Tübingen, becoming Privatdozent in 2005 and Extraordinary Professor in 2016. Born: October 10, 1967, Munich Dipl. Geol: University of Bonn / TU Clausthal (1986–1992) PhD: University of Bonn (1992–1996) Post-Doc: University of Bonn (1996–1998) Postdoctoral Fellow: Harvard University (1998–1999) Assistant: University of Tübingen (1999–2005) Lecturer (Privatdozent): University of Tübingen (2005) Professor: University of Tübingen (2016) His research focuses on stratigraphy, sedimentary geology, integrated reservoir modeling, numerical sedimentology, geostatistics, subsurface energy resources, and seismic velocity modeling . He applies advanced modeling techniques to understand basin evolution and reservoir characteristics. His work integrates field observations, seismic data, and numerical simulations to reconstruct paleoenvironments and tectonic influences on sedimentation. The recent publications highlight a strong trend in foreland basin dynamics, reservoir quality assessment in sedimentary basins (e.g., Dahomey, Tarfaya), sequence stratigraphy across diverse settings, and high-resolution reservoir modeling . There is a consistent emphasis on integrating tectonics with sedimentation, particularly in Variscan and Alpine systems, and on applying process-based models to improve subsurface predictions. His collaborative work on the Community Fault Model for Southern California underscores expertise in seismic and structural modeling. Peter Süss has not been explicitly awarded any scientific prizes in the provided text. While no formal list of students is provided, his role as a professor and PhD supervisor implies academic mentorship. There is no mention of specific grants or funding sources in the available information. He leads research within the Geo- and Environmental Research Center at Tübingen, focusing on basin analysis and subsurface modeling. His work bridges academic research and industrial applications, particularly in energy resource exploration and storage.

• Computational Materials Science
• Crystal Plasticity
• Phase-field Modeling
• +۴ مورد دیگر

Dr. Shanthraj Pratheek is a researcher affiliated with multiple institutions including Aachen Institute for Advanced Study in Computational Engineering Science at RWTH Aachen University Microstructure Physics and Alloy Design at Max Planck Society's Max-Planck-Institut für Eisenforschung GmbH The School of Materials at The University of Manchester Henry Royce Institute at The University of Manchester United Kingdom Atomic Energy Authority (UKAEA) His research focuses on multi-physics computational materials science , particularly in areas like crystal plasticity , phase-field modeling , and microstructure evolution . Key topics include chmo-mechanical coupling , damage mechanics , and multi-scale simulation of metallic systems. He has contributed to the development of the DAMASK simulation software for crystal plasticity and multiphysics problems. Recent publications highlight his work on chmoelastic interactions in alloys precipitation kinetics in aluminum systems dislocation segregation mechanisms multi-sublattice phase modeling grain boundary microchemistry FFT-based damage solvers He maintains active collaborations across institutions including University of Manchester, RWTH Aachen, Max Planck Society, and UKAEA, with a focus on computational simulations for materials design and failure analysis.

Oliver Jäkelمشاهده پروفایل

استاد

• Medical Physics
• Radiation Oncology
• Ion Beam Therapy
• +۱۵ مورد دیگر

Prof. Dr. Oliver Jäkel is a leading academic and medical physicist serving as Full Professor for Medical Physics at the Medical Faculty Heidelberg of Heidelberg University, Head of the Division of Medical Physics in Radiation Oncology at the German Cancer Research Center (DKFZ), and Medical Physics Director of the Heidelberg Ion Beam Therapy Center (HIT) at Heidelberg University Hospital (UKHD). He holds an Scopus ID: 7003530041, ORCID: 0000-0002-6056-9747, and an h-index of 57, reflecting his significant scholarly impact. His research interests are centered on medical physics in radiation oncology , particularly in particle therapy involving protons, carbon ions, and helium ions. Key areas include dosimetry , MR-guided and adaptive radiotherapy , treatment planning , in vivo monitoring using secondary fragment tracking , and AI applications in imaging and contouring . He has pioneered work in helium beam radiography, motion management, and Monte Carlo simulations for dose verification. His recent publications (2024–2025) reveal a strong focus on deep learning for MRI-to-CT conversion, intrafractional motion tracking, and quality assurance in hybrid MRI-particle therapy systems. These works span journals such as Physics in Medicine and Biology , Medical Physics , and Cancers , demonstrating a consistent trend toward integrating advanced imaging, AI, and novel particle beams into clinical radiotherapy workflows. Among his scientific honors are: Chair of ICRU Report 93 on Light Ion Beam Therapy reporting Spokesperson for HGF and DFG research groups in hadron therapy Accredited mentor for medical physics experts Member of IAEA and ICRU task groups Chair of DKFZ’s Commission for Good Scientific Practice Prof. Jäkel has supervised one habilitation and 31 dissertations, indicating active academic mentorship. He leads international Master’s programs in medical physics and has organized summer schools in Chile and Thailand. He is involved in multiple advisory boards, including the DFG, FCT Portugal, and Ontario’s Univ. Health Network. His leadership extends to large-scale research initiatives such as the Heidelberg Institute for Radiation Oncology (HIRO) and the development of postgraduate curricula in medical physics. He is actively involved in laboratory and clinical research at DKFZ and HIT, where his team develops and validates novel imaging and dosimetry systems for particle therapy, including Timepix-based detectors, FLUKA simulations, and MR-integrated workflows. Future research directions include expanding helium ion therapy, improving biological effectiveness models, and advancing AI-driven adaptive radiotherapy.

• Anesthesia and Critical Care
• Perioperative Medicine
• Hemodynamic Monitoring
• +۳ مورد دیگر

Prof. Dr. med. Bernd Christopher Saugel is a leading faculty member at the Clinic and Polyclinic for Anaesthesiology within the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the University of Hamburg's Medical Faculty. His work focuses on optimizing perioperative care through rigorous clinical research. German Society of Anaesthesiology and Intensive Care Medicine (DGAI) guideline development Principal investigator for IMPROVE-multi clinical trial Research emphasizes hemodynamic monitoring , blood pressure management , and postoperative complications in surgical patients. Current projects explore sustainable monitoring solutions and machine learning applications for hypotension prediction. Recent publications (2024-2025) demonstrate expertise in non-cardiac surgery hemodynamics , pediatric anesthesia challenges , and clinical decision support systems . Key themes include balancing vasopressor use with organ perfusion and implementing green healthcare technologies. As Vice Dean for Research at UKE's Medical Faculty, he drives clinical research initiatives and translational medicine projects. His methodological focus includes cohort analyses, randomized-controlled trials, and interdisciplinary guideline creation.

• Materials Science
• Nanoindentation
• Alloy Design
• +۳ مورد دیگر

Dr. Ude Hangen is a researcher affiliated with Bruker Nano GmbH, focusing on the development of a streamlined nanoindentation workflow for testing steels and alloys. Their work bridges experimental methodologies with data processing to produce publishable results. Research interests include: Nanoindentation techniques Metallic alloy characterization Microstructural analysis Materials testing workflows No specific publications, awards, or educational background details are provided in the available text.

• Haptic interactions
• Multitouch and multimedia development
• Knowledge transfer and artificial intelligence
• +۷ مورد دیگر

Dr. Uwe Oestermeier serves as a Researcher and Head of the Software Development Group at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany. Leading a specialized team since 2003, he designs and implements experimental software and research prototypes using Python, JavaScript/HTML5, and Swift. His technical leadership spans multiple high-impact projects including the Interactive Ward Round Table for medical contexts and innovative educational tools like LEGO Music. His research focuses on haptic interactions, multimodal interfaces, and the visualization of abstract concepts including causal reasoning, statistical inference, and musical structures. Dr. Oestermeier's work bridges cognitive science theory with practical applications, creating intuitive user interfaces that enhance knowledge transfer and artificial intelligence integration across diverse domains. His publication record demonstrates consistent contributions to human-computer interaction, with recent work examining multiple document comprehension, clinical decision support systems, and tangible interfaces for education. The research trajectory shows evolution from foundational work on causal arguments to contemporary applications of AI in psychological research and medical contexts. As an active participant in multiple IWM research labs including Multimodal Interaction, Realistic Depictions, and Perception and Action, Dr. Oestermeier develops software tools that enable cutting-edge research across cognitive science domains. His technical expertise supports both experimental research and practical applications in medical, educational, and museum settings.

• Medical Image Analysis
• Computer Vision
• Multimedia Systems
• +۶ مورد دیگر

Steven Alexander Hicks is an Associate Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. His research focuses on applying computer vision and machine learning techniques to medical imaging problems, particularly in gastrointestinal endoscopy and reproductive medicine. He is an active contributor to the medical AI community through his involvement in organizing challenges and workshops such as ImageCLEFmedical and MediaEval. Hicks' research interests center on medical image analysis, with particular emphasis on gastrointestinal endoscopy and reproductive health applications. His work spans medical image segmentation, polyp detection, sperm tracking systems, and explainable AI for medical applications. He has developed innovative approaches for medical image analysis including diffusion models for synthetic data generation, visual question answering systems for gastrointestinal tract analysis, and frameworks for evaluating explanation methods in neural networks. His research bridges the gap between computer science and clinical medicine, aiming to develop practical AI tools that can be integrated into medical workflows. Analysis of Hicks' recent publication record reveals a strong focus on medical image analysis challenges, particularly in gastrointestinal endoscopy and reproductive medicine. He has been instrumental in organizing and contributing to the ImageCLEFmedical challenges, which have become important benchmarks in the field. His work shows a progression from basic image analysis techniques to more sophisticated approaches incorporating explainability, multimodal learning, and generative models. The consistent publication output across top venues demonstrates his active role in advancing medical AI research. Hicks has made significant contributions through his leadership in organizing evaluation campaigns and challenges that have shaped research directions in medical image analysis. His work with the MediaEval and ImageCLEF communities has provided valuable benchmarks and datasets for researchers worldwide. He has been involved in several large-scale collaborative projects addressing important problems in medical imaging, including polyp segmentation, instrument detection in endoscopy, and sperm analysis. As part of the broader research ecosystem at Oslo Metropolitan University, Hicks contributes to a vibrant research environment focused on applying computing technologies to healthcare challenges. His work often involves interdisciplinary collaboration between computer scientists, medical professionals, and domain experts to ensure that technical solutions address real clinical needs. His research group appears to focus on developing practical AI solutions that can be translated into clinical practice, with particular attention to validation methodologies and explainability requirements in medical contexts.

Malte Voglمشاهده پروفایل

پژوهشگر ارشد

• Historical Network Research
• Digital Humanities
• Agent-Based Modeling
• +۷ مورد دیگر

Dr. Malte Vogl is a Senior Research Fellow at the Max Planck Institute for Geoanthropology in Jena, Germany. His work bridges the history of science, computational modeling, and digital humanities, focusing on socio-epistemic networks and knowledge evolution. He has previously held research associate positions at the Max Planck Institute for the History of Science in Berlin. PhD in Physics Researcher in ModelSEN (BMBF-funded) Contributor to DARIAH and TOPOI projects Developer of simulation tools like SciCom Research Interests Dr. Vogl investigates knowledge evolution through network analysis and agent-based modeling, particularly in historical contexts. His work explores: Epistemic communities in early modern science Socio-epistemic network frameworks Quantum criticality in many-body systems Temporal network modeling of historical communication Research data infrastructure development Mathematical epistemology of historical knowledge His recent publications focus on simulating historical communication networks and analyzing archival data survival biases. He integrates computational methods with historical scholarship to uncover dynamics of knowledge transformation.

• Neuroinformatics
• Neuroscience
• Autism Spectrum Disorder
• +۴ مورد دیگر

David N Kennedy is a researcher affiliated with the University of Massachusetts Medical School , specializing in neuroinformatics , neuroscience , and autism research . His work focuses on developing open science frameworks, advancing FAIR (Findable, Accessible, Interoperable, Reusable) data practices, and analyzing neuroimaging and EEG datasets to identify biomarkers for neurodevelopmental disorders. Collaborated on the DataLad project for distributed code and data management. Contributed to the International Neuroinformatics Coordinating Facility standards for open neuroscience. Published on reproducibility challenges in autism neuroimaging research. Investigated social competence biomarkers in autism using EEG coherence analysis. His research intersects neuroinformatics , cognitive neuroscience , and clinical applications , emphasizing collaborative and inclusive scientific practices.