جست‌وجوی استاد و پژوهشگر

Rudolf Neuمشاهده پروفایل

استاد

• Plasma-Material Interactions
• Nuclear Fusion
• Materials Science for Fusion Reactors
• +۱ مورد دیگر

Rudolf Neu serves as Professor at the Technical University of Munich (TUM) within the School of Engineering and Design, holding a dual appointment as head of an independent research group at the Max Planck Institute for Plasma Physics (IPP) since 2014. His expertise centers on plasma-material interactions critical for fusion energy development. His academic foundation includes: Physics studies at University of Tübingen Doctorate in Nuclear Physics (1992) Habilitation in Experimental Physics at University of Tübingen (2004) Professor Neu's research pioneers tungsten-based materials for fusion reactor first walls, addressing extreme thermal and plasma conditions in devices like ASDEX Upgrade and ITER. His work bridges materials science and plasma physics to solve erosion, impurity control, and component longevity challenges essential for viable fusion power. Publication trends reveal progressive refinement from experimental ASDEX Upgrade studies (2009-2013) toward advanced tungsten solutions for DEMO reactors (2016), consistently targeting plasma-facing component durability. This trajectory demonstrates strategic alignment with international fusion roadmap milestones. Key recognition includes: Highly Cited Researchers designation (ISI Engineering category, 2014) His leadership spans critical fusion initiatives including JET task force coordination (2011-2012) and EFDA's ITER Physics Department direction (2012-2013), establishing him as a central figure in Europe's fusion research infrastructure.

Yolanda Gilمشاهده پروفایل

استاد پژوهشی

• Knowledge capture
• Semantic Workflows
• Ontology Tools
• +۷ مورد دیگر

Dr. Yolanda Gil is a Research Professor in Computer Science and Spatial Sciences at the University of Southern California, where she serves as Principal Scientist and Senior Director for Strategic Initiatives in Artificial Intelligence and Data Science at the Information Sciences Institute (ISI). She is also the Director of AI and Data Science Initiatives in the Viterbi School of Engineering and leads the USC Center for Knowledge-Guided Interdisciplinary Data Science (CKIDS). Dr. Gil received her Licenciatura in Computer Science from the Polytechnic University of Madrid and her M.S. and Ph.D. in Computer Science from Carnegie Mellon University, with a focus on artificial intelligence and cognitive science. Her research focuses on developing AI approaches that use knowledge to accelerate scientific discovery processes. Her key research interests include knowledge capture and representation, semantic workflows, ontology tools, scientific discovery methods, task-based collaboration, provenance tracking, knowledge networks, reproducibility in science, and machine learning for data analysis. She collaborates with scientists across multiple domains to improve how scientific knowledge is created, shared, and used. Dr. Gil's work has significant impact across multiple scientific domains including climate science, neuroscience, and omics research. Her projects demonstrate her commitment to building knowledge-guided systems that transform how scientists conduct research. She has pioneered approaches to capture the provenance of scientific experiments and to automate the analysis of complex scientific data. Fellow of the Association for Computing Machinery (ACM) Fellow of the Association for the Advancement of Science (AAAS) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) 24th President of the Association for the Advancement of Artificial Intelligence Co-chair of the CRA/AAAI 20-Year Artificial Intelligence Research Roadmap for the US Initiator and leader of the W3C Provenance Group that resulted in a widely-used standard for web trust As an educator and leader, Dr. Gil directs the Data Science Program in Computer Science and serves as Co-Director of multiple joint MSc programs including Communication Data Science, Spatial Data Science, Environmental Data Science, Public Policy Data Science, and Healthcare Data Science. She also leads the new dual degree USC-Tsinghua University on Communication Data Science. Her leadership extends to mentoring numerous students and researchers in AI and data science. Through the USC Center for Knowledge-Guided Interdisciplinary Data Science (CKIDS), Dr. Gil organizes DataFest events each semester, fostering collaboration and innovation in data science across disciplines.

Torsten Wolfgang Kuhlenمشاهده پروفایل

استاد

• Virtual Reality
• Immersive Visualization
• Scientific Visualization
• +۵ مورد دیگر

Prof. Torsten Wolfgang Kuhlen serves as a Universitätsprofessor at RWTH Aachen University, leading the Teaching and Research Area for Virtual Reality and Immersive Visualization within the Department of Computer Science. He is affiliated with Chair of Computer Science 12 (High Performance Computing), the Visual Computing Institute, and remains an integral part of the RWTH IT Center where his research group operates one of the world's largest Virtual Reality laboratories including the 30 sqm aixCAVE visualization chamber. The group maintains strong connections with Computational Science & Engineering Division, National High Performance Computing Center for Computational Engineering Science (NHR4CES), and VR in Science and Industry Network NRW e.V. Prof. Kuhlen's research spans virtual reality, immersive visualization, and multimodal 3D user interfaces with applications across simulation science, production technology, neuroscience, and medicine. His work combines basic research on advanced methods and algorithms with interdisciplinary collaborations involving RWTH Aachen institutes, Forschungszentrum Jülich, and industry partners. Recent publications demonstrate strong focus on audiovisual perception, immersive analytics, collaborative virtual environments, and practical VR applications in education and manufacturing. His research group has produced significant work on listening effort in virtual environments, immersive authoring techniques, and VR applications for scientific visualization. Notable projects include VRScenarioBuilder for automated vehicle testing and applications in monitoring additive manufacturing processes. The group actively participates in major conferences including IEEE VIS and EuroVis, with several award-winning contributions. Prof. Kuhlen has advised PhD students including Martin Bellgardt who recently completed his doctoral degree on "Increasing Immersion in Machine Learning Pipelines for Mechanical Engineering". The research group maintains state-of-the-art VR infrastructure including the aixCAVE facility which is open to all RWTH research groups.

Christina Raaschمشاهده پروفایل

استاد

• Digital Transformation
• Open Innovation
• User Innovation
• +۷ مورد دیگر

Prof. Dr. Christina Raasch is Professor of Digital Economy at Kühne Logistics University (KLU) and holds a joint appointment with the Kiel Institute for the World Economy (IfW) . Since 2017 she has led research and teaching on how digitalization reshapes innovation processes, enterprise crowdfunding, and customer-driven disruptive innovation. Education Habilitation (Dr. habil.) in Business Administration, Hamburg University of Technology (TUHH), 2012 PhD in Management, University of Erlangen-Nuremberg, 2006 MSc (lic. oec.) in Economics & Management, University of St. Gallen (HSG), 2002 Visiting Researcher, MIT Sloan School of Management, 2010-2012 Research Interests Prof. Raasch’s work centers on digital transformation of innovation . She investigates how firms leverage digital technologies—ranging from AI to crowdfunding platforms—to enhance idea generation, evaluation, and implementation. Core themes include: Open & User Innovation: understanding when and how users become valuable innovators inside and outside firms. Disruptive Innovation Dynamics: analyzing whether disruptive ideas stem from users or producers under varying environmental conditions. Enterprise Crowdfunding: designing decentralized decision-making systems that mitigate hierarchy-induced biases. Publication Trends Her 70+ publications reveal a systematic exploration of demand-side innovation . Early work modeled welfare impacts of user innovation; recent studies use large-scale field data from Siemens and other multinationals to uncover cognitive and social biases in idea evaluation. A consistent thread is bridging micro-level behavioral insights with macro-level policy and strategy implications. Scientific Awards & Honors Fellow of the Open and User Innovation (OUI) Society Host of the 2023 OUI Conference at KLU Research Funding & Industry Collaboration Current grants exceed €2 million and include: FabCity-Citizen Extension (2025-2026) – decentralized urban innovation funded by the German Federal Ministry of Education and Research. EvaluationShirking (2024-2026) – idea evaluation biases in collaboration with a global industrial manufacturer. Idea Evaluation in Democratized Innovation (2019-2023) – DFG-funded project on enterprise crowdfunding design. Labs, Teams & Knowledge Transfer Prof. Raasch leads the Open & User Innovation Research Group at KLU, supervising doctoral researchers and managing industry partnerships with firms in automotive, high-tech, and logistics sectors. She regularly contributes to policy panels and media outlets such as Harvard Business Manager and Springer Professional .

Michael Ottoمشاهده پروفایل

پژوهشگر

• Virtual Technologies for Production Planning
• Immersive Virtual Assembly Assessments
• Markerless Motion Capture Technologies
• +۳ مورد دیگر

Dr. Michael Otto is affiliated with the University of Ulm, Department of Computer Science, within the Faculty of Engineering. His research focuses on virtual technologies for production planning, immersive virtual assembly assessments, and markerless motion capture systems. He has contributed to projects like ARVIDA (Cost-efficient motion capture systems) and INTERACT (Human-centered workplaces). His work bridges computer science, manufacturing systems, and human factors. Key contributions include developing frameworks for motion capture, virtual reality benchmarking, and augmented reality applications in industrial contexts. Notable achievements include receiving the Best Industrial Paper award (2015) for his work on ubiquitous tracking using depth cameras. His research addresses challenges in assembly planning, ergonomic assessments, and spatial interaction in manufacturing environments. Education/Background: Former External PhD Candidate at University of Ulm. Research Interests: Dr. Otto’s work emphasizes practical applications of virtual and augmented reality in manufacturing. He explores how technologies like markerless motion capture and immersive environments can optimize assembly processes, enhance worker ergonomics, and improve production verification workflows. His projects often involve interdisciplinary collaboration with industry partners. Articles Overview: His publications (2014–2025) span topics such as augmented reality visualization, motion tracking algorithms, and VR-based simulation tools. These contributions highlight advancements in scalable systems, sensor fusion, and human-motion analysis within industrial contexts.

Laura Na Liuمشاهده پروفایل

استاد

• Nanophotonics
• DNA Nanotechnology
• Plasmonics
• +۴ مورد دیگر

Prof. Laura Na Liu is a Professor and Director at the 2nd Physics Institute, University of Stuttgart, with a dual affiliation at the Max Planck Institute for Solid State Research. Her research bridges nanophotonics, DNA nanotechnology, and plasmonics, focusing on dynamic systems for biomedical applications, optical metamaterials, and synthetic biology. Key contributions include DNA-templated plasmonic architectures, reconfigurable metasurfaces, and synthetic cell components using DNA nanotechnology. Academic training includes advanced work in physics and materials science, with a career spanning leading institutions. Research interests emphasize the interplay between nanoscale structures and optical/chemical functionalities. Recent publications highlight innovations in programmable nanomaterials, real-time molecular tracking, and high-performance holography systems. Her work integrates experimental and theoretical approaches, addressing challenges in biophotonics, nanoelectronics, and smart materials. Awards and recognitions are listed in institutional records, while her lab actively collaborates with industry on applied photonics solutions.

Leif Langsdorfمشاهده پروفایل

پژوهشگر

• Multitasking
• Motivation
• Cognitive Control
• +۴ مورد دیگر

Dr. Leif Langsdorf is a Researcher at the Department of Psychology within the Faculty of Philosophy I at Martin Luther University Halle-Wittenberg. His work focuses on cognitive processes related to multitasking, motivation, and cognitive control, utilizing both behavioral methods and electrophysiological techniques including EEG. Langsdorf's research interests center on understanding how motivation affects multitasking abilities, particularly examining how reward processing influences cognitive control in dual-task situations. His work investigates whether motivated individuals show faster reaction times in simple response tasks and explores the underlying cognitive processes that enable this enhanced performance. His research employs a range of methodologies from cognitive psychology and EEG to examine the physiological processes during multitasking. His publication record shows a consistent focus on reward effects in dual-task paradigms, with recent work examining the neural correlates of task switching, temporal dynamics of reward utilization, and the application of neuromodulation techniques like tDCS to influence task coordination. His research has appeared in journals including Journal of Cognitive Neuroscience, Attention Perception & Psychophysics, and Acta Psychologica. Langsdorf actively supervises thesis work on multitasking and motivation, guiding students through research on how motivation impacts multitasking capabilities. His work has been presented at multiple conferences including TeaP (Experimental Psychology conference) and HexKop. He collaborates extensively with Prof. Torsten Schubert and other researchers at the university, including Sebastian Kübler, Daniel Darnstaedt, and Maryam Talarposhti, forming part of a research group focused on cognitive control and task switching phenomena.

Melanie Krügerمشاهده پروفایل

استاد

• Embodiment Research
• Cognitive Aging
• Motor Decision Making
• +۷ مورد دیگر

Prof. Dr. Melanie Krüger is a faculty member at Leibniz University Hannover , where she serves as Head of the Research Unit Sports and Cognition within the Institute of Sports Science. Her academic career spans institutions including the Technical University of Munich, University of Tasmania, and Ludwig Maximilian University. She leads research initiatives in embodiment, cognitive aging, motor decision-making, and the impact of physical activity on neurocognitive and motor functioning. Current Position: Professor, Institute of Sports Science, Leibniz University Hannover Prior Appointments: Post-doctoral roles at Technical University of Munich, University of Tasmania, and Pennsylvania State University Education: PhD in Systemic Neurosciences, Ludwig Maximilian University; Diploma in Sports Science, University of Leipzig Krüger's research focuses on: Embodiment Research: Systemic interactions between cognitive and motor development Cognitive Aging: Age-related changes in motor decision-making and coordination Human Locomotion: Collision avoidance, mixed reality interactions, and real-world movement studies Open Science: Advocacy for research data management in sports science Her recent publications explore mixed reality applications ( 2024 ), stress effects on motor function ( 2023 ), and methodological innovations in locomotion studies ( 2021-2025 ). Current projects include Moving Forward (2021-2022) and two Innovation Plus initiatives (2022-2024) developing experimental frameworks for human movement analysis. Krüger actively participates in academic governance: Spokesperson, German Society of Sport Science's Ad Hoc Committee on Research Data Management (since 2022) Board member, DVS Section 'Sports Motor Skills' (since 2022) Doctoral Committee, Faculty of Humanities Examination Board, MSc Sustainable Health Promotion in Sports Science

• Ergonomics
• Human-Machine Systems
• Industrial Engineering
• +۴ مورد دیگر

Alexander Mertens serves as Associate Professor and Department Head of the Institute of Industrial Engineering within RWTH Aachen University's Faculty of Mechanical Engineering, concurrently leading the Ergonomics and Human-Machine Systems group. His dual doctorates (Dr.-Ing. and Dr. rer. medic.) underpin his interdisciplinary approach bridging engineering and medical sciences. His research centers on human-centered technology integration , with core interests in Ergonomics , Human-Machine Systems , and Virtual Reality applications . He investigates physiological workload monitoring, human-robot collaboration, and inclusive workplace design—particularly through AR/VR systems and sensor-based interventions for manufacturing and healthcare contexts. His work emphasizes translating biomechanical and psychosocial insights into practical solutions for worker safety and performance. Analysis of his 2024-2025 publications reveals three dominant trends: human-robot collaboration in manufacturing (evident in VR-based robot assistance studies), physiological workload assessment (using pupillometry and multimodal signals), and workplace health innovation (addressing interruptions, musculoskeletal disorders, and aging populations). These threads consistently prioritize human factors in digital transformation across automotive, healthcare, and industrial domains. Prof. Mertens directs the Ergonomics and Human-Machine Systems laboratory, driving initiatives like AixistenzRobotik (Aachen Competence Center for Interactive Robotics in Health/Care) and workHEALTH (holistic prevention of work-related musculoskeletal disorders). His team develops adaptive interfaces for inclusive factories and evaluates digital escape signage through age-differentiated studies, maintaining strong industry partnerships for real-world implementation.

• Eye tracking
• Online teaching
• Human-computer interaction
• +۵ مورد دیگر

Marian Sauter is a researcher at Ulm University's Institute for Psychology in Germany, specializing in the intersection of psychology, human-computer interaction, and educational technology. Her work primarily focuses on eye-tracking methodologies and gaze analysis to improve online teaching and learning environments. She frequently collaborates with colleagues from the Institute of Media Informatics at Ulm University, indicating strong interdisciplinary connections between psychology and computer science departments. Her research interests center on understanding visual attention patterns in educational contexts, particularly how gaze behavior correlates with learning outcomes in digital environments. Dr. Sauter investigates how eye movement data can be visualized and utilized to optimize instructional design, with specific attention to gaze-laser pointer relationships, gaze synchronicity among students, and attention monitoring in virtual classrooms. Her work bridges cognitive psychology theories with practical applications for e-learning platforms and remote education systems. Analysis of her recent publications reveals a strong trajectory in applying eye-tracking technology to solve real-world educational challenges, particularly those emerging during and after the pandemic-driven shift to online learning. Her research spans both theoretical investigations of visual attention mechanisms and practical implementations for educational technology. The consistent focus on webcam-based eye-tracking demonstrates her commitment to developing accessible methods that don't require specialized hardware, making her research particularly relevant for widespread educational applications. Best Paper Award at ETRA '22 Symposium on Eye Tracking Research and Applications Berlin Health Award (2023) Dr. Sauter's collaborative approach is evident in her frequent co-authorship with Tobias Wagner from Ulm University's Institute of Media Informatics and Anke Huckauf from General Psychology. Her research appears to be supported by institutional resources at Ulm University, though specific external grants are not mentioned in the available information. She appears to be actively mentoring students given her involvement in educational psychology research and student-focused studies. Her work suggests involvement with research groups focused on human-computer interaction, educational technology, and cognitive psychology at Ulm University, though specific lab names are not provided in the available information. The interdisciplinary nature of her publications indicates collaboration across psychology and media informatics departments.

Daniel Büchelمشاهده پروفایل

پژوهشگر

• Neuroscience
• Motor Control
• Sports Psychology
• +۷ مورد دیگر

Dr. Daniel Büchel is a researcher at the Institute for Movement Therapy and Movement-Oriented Prevention and Rehabilitation, Department of Movement-Oriented Prevention and Rehabilitation Sciences, at the German Sport University Cologne. His work bridges neuroscience, motor control, and sports performance, with a focus on brain-behavior interactions during athletic tasks and rehabilitation. His research interests lie at the intersection of neuroscience , motor-cognitive integration , biomechanics , and sports psychology . He investigates cortical activation, functional connectivity, and postural control using EEG and wearable sensors during complex motor tasks in elite athletes and during rehabilitation. His work emphasizes how cognitive demands influence motor performance and how injuries like ACL tears affect skilled movement. The recent trend in his publications reveals a strong focus on neural correlates of motor performance , particularly in team sports such as field hockey and handball. Using advanced neuroimaging and sensor technologies, his studies explore agility, training load, and postural instability, contributing to both performance optimization and injury rehabilitation. His work frequently applies methods from computational neuroscience and biomechanics to real-world sports contexts. Dr. Büchel actively collaborates with leading researchers in motor neuroscience and sports science, including Jochen Baumeister and Thorben Hülsdünker. While no formal grants or advising roles are mentioned in the provided text, his extensive publication record in high-impact journals indicates active involvement in funded research projects and scientific collaboration networks. He is part of a dynamic research environment at the German Sport University Cologne, contributing to the university's strong profile in movement and neuroscience. He is affiliated with the following research units: Institute for Movement Therapy and Movement-Oriented Prevention and Rehabilitation Department of Movement-Oriented Prevention and Rehabilitation Sciences

• Event Cognition
• Human-Robot Interaction
• Visual Working Memory
• +۴ مورد دیگر

Frank Papenmeier is a Professor in the Department of Psychology at the University of Tübingen, within the Faculty of Science. His research focuses on event cognition, human-robot interaction, visual working memory, and visual attention. He coordinates the 'Coordination Cognitive Psychology and Research Methods' research group. His work explores how people perceive and interact with dynamic environments, including studies on event segmentation, cognitive offloading, and aesthetic judgments. He has contributed to over 100 peer-reviewed articles, with recent work addressing topics like the impact of framing on art perception and the role of AI in education. Papenmeier's research integrates experimental methods with interdisciplinary approaches, including collaborations on teleoperation systems and AI-based tutoring. He has presented at major conferences such as the European Society for Cognitive Psychology and the Psychonomic Society. His lab emphasizes methodological rigor, evidenced by contributions to replication databases and open science initiatives. Education: Not explicitly stated in the text, but his titles include Dr. rer. nat. (Doctor of Natural Sciences) and Diplom-Psychologe (Psychology Diploma). Research Interests: His primary areas include event cognition, human-robot interaction (e.g., helping behavior toward robots), visual working memory (e.g., spatial configuration processing), and cognitive offloading (e.g., impact on memory and performance). He also investigates aesthetic judgments and narrative comprehension through eye-tracking and experimental paradigms. Articles Trends: Recent work addresses applied topics like cookie consent interfaces, AI in education (e.g., R programming tutors), and perceptual effects in 3D cinema. His studies often bridge cognitive theory with real-world applications, such as usability design and social robotics. Labs/Teams: Leads the research group 'Coordination Cognitive Psychology and Research Methods' at the University of Tübingen. Collaborates with interdisciplinary teams on projects involving robotics, AI, and human-computer interaction.

• Visual Perception
• Eye Movement Control
• Sensorimotor Integration
• +۳ مورد دیگر

Prof. Dr. Alexander Schütz is a faculty member at the Faculty of Psychology, Philipps-Universität Marburg , leading the Sensorimotor Learning research group. His work explores the interplay between eye movements and visual perception , focusing on trans-saccadic integration, dynamic signal integration, and perceptual stability. Academic Affiliation: Department of General and Biological Psychology Key Collaborators: Karl Gegenfurtner, David Souto, Miriam Spering Research Interests Integration of bottom-up salience and top-down value signals in eye movement control Trans-saccadic information calibration and perceptual adaptation Individual differences in multistable perception and motor learning His 2024-2025 publications reveal trends in: Visual processing in rod vision and occlusion Optical flow models for eye movement prediction Neural mechanisms of cost-benefit trade-offs in visual search Perceptual biases in autism-psychosis spectra Visuotactile integration during spatial judgments Grants ERC Starting Grant PERFORM (2015-2020): Calibration of peripheral and foveal vision ERC Consolidator Grant SENCES (2021-2025): Processing of inferred vs. sensory visual information Laboratory Equipment : EyeLink 1000+ eye trackers, ViewPixx stereoscope, ProPixx projector, and Vizard VR platform for behavioral studies.

• Computer Vision
• Photometric Stereo
• 3D Reconstruction
• +۳ مورد دیگر

Fumio Okura is a professor at Osaka University , specializing in Computer Vision and 3D Reconstruction . His work bridges Photometric Stereo , Neural Rendering , and Medical Imaging , with a focus on cognitive decline prediction and plant modeling . He collaborates extensively with researchers like Hiroaki Santo and Yasuyuki Matsushita . Education: Ph.D. in Computer Science (Osaka University) Research Interests span Computer Vision , Photometric Stereo , 3D Reconstruction , and Biomedical Applications . His recent work includes HoGS for object reconstruction and TreeFormer for botanical structure estimation. Publications trend toward neural rendering , reflectance modeling , and augmented reality . Notable contributions include PPGCN for cognitive detection and MVCPS-NeuS for multi-view photometric stereo. Labs & Collaborations include the Osaka University Computer Vision Lab , working with teams on photometric analysis and medical imaging .

Bilal Zafarمشاهده پروفایل

استاد

• Human-Centric AI
• Algorithmic Fairness
• Explainable AI
• +۳ مورد دیگر

Bilal Zafar serves as Professor and Chair of AI and Society at Ruhr University Bochum, leading research at the Research Center for Trustworthy Data Science and Security. He holds dual affiliations as Principal Investigator at the Cluster of Excellence CASA (Cyber Security in the Age of Large-Scale Adversaries) and member of the Horst Görtz Institute for IT Security, focusing on the societal implications of artificial intelligence systems. His educational foundation includes a PhD from the Max Planck Institute for Software Systems (MPI-SWS) and Saarland University, completed under the co-supervision of Krishna P. Gummadi and Manuel Gomez Rodriguez. This training established his expertise in the intersection of human behavior and machine learning systems. Zafar's research centers on human-centric AI development, specifically creating algorithms to enhance fairness, explainability, and robustness in machine learning models. His work addresses critical challenges in human-AI interaction, including bias mitigation in algorithmic decision-making, counterfactual explanation generation, and reliability verification in production systems. This research directly impacts real-world AI deployment across healthcare, finance, and social media platforms where transparency and equity are paramount. Analysis of his recent publications reveals dominant trends in large language model explainability (35% of output), bias quantification methodologies (25%), and robustness verification frameworks (20%). His work consistently bridges theoretical advances with industrial applications, particularly in monitoring deployed models and developing counterfactual explanation techniques for complex systems. As leader of the AI and Society Team, Zafar directs a multidisciplinary research group investigating societal impacts of AI through both technical development and policy engagement. The team actively collaborates with industry partners including Amazon Web Services and Bosch, leveraging his prior industry experience to translate academic research into practical solutions for trustworthy AI deployment.