جستجوی استاد راهنمای دانشگاهی

Oliver Poseggaمشاهده پروفایل

استاد

• Socio-technical Systems
• Social Networks
• Artificial Intelligence Impact Analysis
• +۷ مورد دیگر

Oliver Posegga is an interim Chair of Information Systems and Social Networks at the University of Bamberg and a principal investigator for the Volkswagen Foundation -funded project "Communicative Power in Hybrid Media Systems." He serves as a visiting scholar at MIT Sloan School of Management's Center for Collective Intelligence and leads the Department of Business Informatics, especially Social Networks since 2020. Diploma in Information Systems (2011), University of Cologne Ph.D. in Information Systems (2017), University of Bamberg Visiting Scholar (2019-2020), MIT Center for Collective Intelligence His research bridges information systems and social sciences to analyze: Collective dynamics in digital networks Impact of AI on organizations/society Social media's role in crisis management Data/information quality frameworks Discursive power in hybrid media systems Responsible AI integration Recent publications focus on AI literacy , ethical human-AI collaboration , and digital culture analysis across journals like Journal of Strategic Information Systems , PLoS One , and conferences ECIS , ICIS , HICSS . Key projects examine meme-based community boundaries, AI's effect on organizational learning, and crisis response systems. Scientific Recognition : Best Research in Progress Paper Award (2017)

Romy Lorenzمشاهده پروفایل

استاد پژوهش

• Cognitive Neuroscience
• Neurotechnology
• Brain-Computer Interfaces
• +۷ مورد دیگر

Dr. Romy Lorenz is a Max Planck Research Group Leader at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, where she leads the Cognitive Neuroscience & Neurotechnology research group. She previously held postdoctoral positions at the University of Cambridge, Stanford University, and the Max Planck Institute for Human Cognitive & Brain Sciences from 2018 to 2023 as a Sir Henry Wellcome Postdoctoral Fellow. Dr. Lorenz's educational background includes: BSc in Psychology from Leuphana University (2009) MSc in Human-Machine Interaction from TU Berlin (2012) PhD in Neurotechnology from Imperial College London (2017) Her research focuses on understanding the frontoparietal brain network mechanisms that underpin high-level cognition and adaptive behavior. She employs an interdisciplinary approach combining subject-specific brain-computer interface technology, fMRI at standard and ultrahigh magnetic field strengths (3T, 7T, and 9.4T), EEG, non-invasive brain stimulation, computational modeling, and machine learning techniques. A key innovation in her work is the development of neuroadaptive Bayesian optimization methods that allow for real-time, closed-loop experimental design in cognitive neuroscience. Dr. Lorenz's recent publications demonstrate a clear trend toward investigating brain function at increasingly fine-grained spatial scales, particularly exploring layer-specific processing in the prefrontal cortex using ultrahigh-field fMRI. Her work bridges computational neuroscience, cognitive psychology, and neurotechnology, with applications ranging from basic cognitive science to clinical rehabilitation. A significant portion of her research focuses on closed-loop systems that integrate real-time brain imaging with adaptive experimental design and stimulation protocols. Her notable scientific achievements include: Outstanding Contributions in AI Innovation Award Sir Henry Wellcome Postdoctoral Fellowship Funding from the German Scholar Organisation Fellowships from the Wellcome Trust and Engineering and Physical Sciences Research Council Dr. Lorenz has secured significant research funding for her work, including support from the Wellcome Trust and German funding agencies. She has mentored several students, including Master's students like Pedro who has presented their collaborative work at conferences. Her research group actively recruits postdoctoral researchers and students interested in cognitive neuroscience and neurotechnology. Dr. Lorenz leads the Cognitive Neuroscience & Neurotechnology research group at the Max Planck Institute for Biological Cybernetics, which focuses on developing and applying advanced neuroimaging and computational methods to understand high-level cognitive functions. She has also co-initiated interest groups such as CoCoNUT (Computational Cognitive Neuroscience at the Max Planck Institute) to foster interdisciplinary collaboration. Her lab utilizes cutting-edge technologies including real-time fMRI at ultrahigh field strengths, EEG, and non-invasive brain stimulation to investigate frontoparietal network function.

Elisabeth Hsuمشاهده پروفایل

استاد

• Medical Anthropology
• Ethnobotany
• Chinese Medicine
• +۵ مورد دیگر

Elisabeth Hsu is Professor of Anthropology at the Institute of Social and Cultural Anthropology, School of Anthropology and Museum Ethnography, University of Oxford, and Fellow of Green Templeton College. She joined Oxford in 2001 to establish the Medical Anthropology MSc and MPhil courses and became Professor in Anthropology in 2010. She co-founded the Anthropology Research Group at Oxford on Eastern Medicines and Religions (ARGO-EMR) and the Berghahn book series "Epistemologies of Healing." Her educational background is highly transdisciplinary: Learned modern Chinese at Beijing Language Institute (1978-79) BSc/MSc equivalent in Biology, Ecology at ETH Zurich (1979-84) MPhil in General Linguistics at University of Cambridge (1986-87) PhD in Social Anthropology at University of Cambridge (1987-92) Habilitation in Chinese Studies at University of Heidelberg (2002) Professor Hsu's research spans medical anthropology, ethnobotany, and the history of science and medicine, with particular focus on Chinese medicine. Her work examines pulse diagnosis, body and personhood, sensory experience, and knowledge transmission. She has conducted extensive fieldwork in China (Yunnan province), East Africa, and Southwest China, exploring Chinese medicine's global circulation and adaptation. Her approach integrates linguistic anthropology, textual analysis, and embodied practice to understand medical traditions across cultural contexts. Her recent publications reveal a growing interest in sensory anthropology, pandemic responses, and the material culture of medicine. There's a clear trajectory from historical studies of Chinese medical texts toward contemporary analyses of medical pluralism, with increasing attention to embodied experience, affect, and cross-cultural healing practices. Her work bridges historical scholarship with contemporary medical anthropology, creating innovative frameworks for understanding medical traditions globally. She has supervised numerous doctoral students whose research spans diverse topics from Chinese medicine in East Africa to kinship and relatedness in Southwest China. Her mentorship approach emphasizes rigorous ethnographic methods combined with deep engagement with medical theory across cultural contexts. She has been instrumental in building Oxford's medical anthropology program into one of the world's leading centers for the study of traditional and alternative medicines. Professor Hsu co-founded the ongoing Berghahn book series "Epistemologies of Healing" to increase the reach of doctoral-research-based monographs and established ARGO-EMR for post-doctoral researchers interested in medical anthropological approaches to scholarly medical traditions. Her latest ethnography "Chinese Medicine in East Africa: An Intimacy with Strangers" was published in 2022.

Frank Bremmerمشاهده پروفایل

استاد

• Visual Perception
• Self-Motion Encoding
• Multisensory Integration
• +۵ مورد دیگر

Frank Bremmer is a Professor at the Neurophysics Group , Philipps University of Marburg . His research focuses on visual perception during eye movements and the multisensory encoding of self-movement information in primates , aiming to understand neural representations of space and movement in the human brain. The group combines neurophysiological recordings from animal models with behavioral and neuroimaging studies in humans, including collaborations with clinics at the University Hospital of Munich (UKGM) to investigate spatial and motion processing disorders in neurological and psychiatric patients.

Dominik Endresمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Sensorimotor Integration
• Machine Learning
• +۷ مورد دیگر

Dominik Endres is a Professor at the Department of Psychology , Philipps-Universität Marburg , leading the Theoretical Cognitive Science working group. His research spans Cognitive Neuroscience , Sensorimotor Integration , and Machine Learning , with a focus on modeling how the brain represents knowledge and controls movement. His team investigates Movement Primitives in virtual reality, Bayesian Inference in attention control, and Formal Concept Analysis in decoding neural data. Recent work includes reaction time decomposition , VR immersion studies , and assistive technology development for neurological disorders. Publications highlight sensorimotor hierarchies , relational coding , and dynamic human motion modeling . Collaborations include the International Research Training Group 1901 , SFB/TRR 289 , and GRK 2271 . His team includes researchers like Neda Meibodi (PhD student) and Benjamin Knopp (Scientific Staff), with projects involving VR experiments and cognitive modeling .

Roland W. Flemingمشاهده پروفایل

استاد

• Visual Perception
• Material Perception
• Computational Neuroscience
• +۳ مورد دیگر

Prof. Roland W. Fleming is the Kurt Koffka Professor of Experimental Psychology at the Department of Psychology, Faculty of Psychology and Sports Science, Justus Liebig University Giessen. He also serves as Executive Vice Director of the Center For Mind, Brain and Behaviour and as Director of the Excellence Cluster 'The Adaptive Mind'. Interdisciplinary research on visual perception of materials and objects Combines psychophysics, neural modeling, and computer graphics Research Interests focus on how the brain estimates physical properties of objects from visual cues. His work analyzes: Material properties (gloss, translucency, elasticity) Shape perception through orientation fields Computational models of visual perception Human interaction with deformable materials Scientific Contributions include: ERC Advanced Grant for 'STUFF' project on material perception ERC Consolidator Grant for 'SHAPE' research on shape logic Developing ShapeComp model for shape similarity Creating STUFF dataset with 600+ material photographs Awards & Funding : ERC Advanced Grant (2023) Fellow of the Royal Society of Biology (2022) ERC Consolidator Grant (2016) Young Investigator Award (2013)

Martin Hebartمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Visual Perception
• Computer Science
• +۴ مورد دیگر

Martin Hebart is a Professor at the Department of Medicine, Justus Liebig University Giessen, and affiliated with the Max Planck Institute for Human Cognitive and Brain Sciences. He leads an interdisciplinary lab integrating psychology, neuroscience, and computer science to decode visual perception mechanisms. Research focus on visual object recognition Developing computational models (deep learning, semantic embeddings) Utilizing neuroimaging (fMRI, MEG) and behavioral datasets Recent work explores: Core dimensions of material perception Alignment of AI models with human vision Distributed neural representations of object features Improving fMRI methodology His lab has produced software tools like THINGSvision and SPoSE for neural network analysis and semantic embedding. Former team members include researchers recognized with Marie Curie Fellowships.

Lisa Maurerمشاهده پروفایل

پژوهشگر

• Motor Learning
• Neuroscience
• Cognitive Psychology
• +۳ مورد دیگر

Lisa Maurer is a Research Associate and Junior Research Group Leader at the Justus Liebig University Giessen , affiliated with the Faculty of Psychology and Sports Science and the Department of Training Science. Her research explores complex motor learning processes , focusing on the role of internal forward models , predictive error processing , and metacognitive representations in motor tasks, utilizing kinematic analysis and EEG techniques. Education: 2001–2002: Study of Sports Science (STAPS) at Marc-Bloch University, Strasbourg 2002–2007: Diploma in Sports Science at University of Saarland, Saarbrücken 2003–2008: 1st State Examination in German Studies at Saarland University 2008–2012: Doctoral studies in Sports Science at Justus Liebig University Giessen (PhD in 2012) Research Interests center on neural correlates of motor error processing , predictive modeling in motor tasks , and metacognition in movement control . Her work bridges neuroscience and sports psychology , with applications to conditions like Parkinson's disease and schizophrenia . She investigates how attentional focus and sensorimotor feedback influence learning outcomes. Publications highlight trends in predictive error processing , gaze behavior in sports , and neural indicators of motor learning . Recent papers examine eye movement patterns in basketball, sensorimotor insoles for Parkinson's patients , and metacognitive sharpening through motor outcomes. Scientific Awards: Scholarship holder of the German Academic Scholarship Foundation (during doctoral studies) Grants include funding for projects like Predictive Error Perception in Complex Natural Environments (Project B6) , focusing on expertise development in sports and clinical applications. She collaborates with Prof. Dr. Mathias Hegele and Prof. Dr. Hermann Müller . Labs & Teams include the Junior Research Group Neuroprocessing in Movement and Training at Justus Liebig University Giessen and the German Association for Sports Science (dvs) center for Mind, Brain, and Behavior (CMBB) .

• Human-Computer Interaction
• Virtual Reality
• Multi-Touch Interfaces
• +۳ مورد دیگر

Marc Halfmann is a researcher at the University of Tübingen , affiliated with the Leibniz Institute for Knowledge Media under the Faculty of Mathematics and Natural Sciences . His work focuses on developing advanced multi-user interfaces for medical and educational applications. PhD in Cognitive Science (2015) Diploma in Bioinformatics (2010) Research Specializations: Halfmann pioneers interactive touch and VR/MR systems for interdisciplinary contexts, including medical decision-making and educational simulations. His projects span: Multi-touch tumor conference systems Immersive archaeological environments Spatial cognition research Human factors in virtual environments Educational technology development Medical informatics applications Technical Contributions: He develops experimental VR environments and applications for: Eye tracking integration Knowledge space visualization Museum education tools Material science exploration Marine biology visualization Historical documentation

Florian Huberمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Visual Analytics
• +۴ مورد دیگر

Prof. Dr. Florian Huber serves as Professor of Data Science and Visual Analytics at the Department of Media, Faculty of Media, Hochschule Düsseldorf University of Applied Sciences (HSD), a position held since September 2021. He is additionally affiliated with the Center for Digitalization and Digitality (ZDD), where he bridges data science methodologies with real-world applications in scientific and cultural domains through machine learning and visualization techniques. His academic foundation includes: Diploma in Physics, University of Leipzig PhD in Biological Physics, University of Leipzig (2012), thesis: "Emergent structure formation of the actin cytoskeleton" Prior to HSD, he worked as a postdoctoral researcher at AMOLF (Amsterdam) and TU Delft, founded the sustainable sweets company KÄNDI, and served as Data Scientist at the Netherlands eScience Center (2018-2021). Huber's research focuses on developing data science algorithms for comparative analysis of complex datasets, combining machine learning with domain expertise to enable meaningful comparisons through latent space transformations. Key areas include mass spectrometry-based metabolomics (chemical identification/similarity prediction), natural language processing (e.g., lyrical evolution analysis), and audio data science, with emphasis on interpretable and reproducible computational approaches for biology, medicine, and cultural studies. Analysis of his 2023-2025 publications reveals dominant themes in mass spectrometry data science (tools like matchms, MS2Query, Mass2SMILES) and NLP applications in musicology. His work increasingly integrates deep learning for cross-domain similarity prediction while creating educational resources, reflecting a trend toward versatile open-source solutions for interdisciplinary data challenges. Huber actively contributes to open science through GitHub repositories and reproducible pipelines, suggesting collaborative funding models centered on software sustainability. His teaching includes the "Data Science" module (MMI 05.35) with practical components for engineering programs, offered in German or English. He leads initiatives within HSD's Center for Digitalization and Digitality, fostering collaborations between data scientists and domain experts. Current projects involve interdisciplinary teams tackling metabolomics, cultural analytics, and educational tool development using Python-based open-source ecosystems, with future work likely expanding into new application domains while advancing methodological rigor.

Marcus Jansenمشاهده پروفایل

استاد

• Design
• Sculpture
• Spatial Design
• +۳ مورد دیگر

Marcus Jansen is a Professor at the Peter Behrens School of Arts , affiliated with Düsseldorf University of Applied Sciences , where he holds the professur für Gestaltung und Wahrnehmung with a focus on three-dimensional design. His work bridges the interconnected fields of architecture, art, and design through research-based learning. Education : Studium at HbK Braunschweig Kunstakademie Düsseldorf (Meisterschüler bei Irmin Kamp) Goldsmiths College London Jansen emphasizes foundational design principles such as spatial perception, representation, and production, alongside advanced exploration of color, material, and light dynamics. His teaching fosters curiosity, experimentation, and analytical understanding of visual structures. Scientific Awards : 1. Platz Kunst im öffentlichem Raum, Platzgestaltung Zittau (2012) DFJW-Stipendium für Paris (1992) DAAD-Stipendium für London (1990–1991) He has supervised student projects such as the seminar paper Sculpture with breakthrough, concrete (Summer Semester 2018, Bachelor 2 - Design).

Silke Meyerمشاهده پروفایل

استاد

• Business Informatics
• Information Systems
• Business Intelligence
• +۷ مورد دیگر

Prof. Dr. Silke Meyer is a faculty member at Mittweida University of Applied Sciences in the Faculty of Industrial Engineering. Her work bridges business informatics and industrial systems through innovative applications of business intelligence, data mining, and product lifecycle management. Chair of Information Systems I (Research Associate, TU Chemnitz) Mittweida University of Applied Sciences (2003-present) Research Highlights: Agile Business Intelligence lifecycle management Quantum physics-inspired decision support systems Web 2.0 analytics integration PLM-enabled cost estimation frameworks Stakeholder dashboard design Case-based reasoning with imperfect knowledge Publications Trends: Research spans 1998-2016 with a focus on business intelligence evolution, fuzzy logic applications, and quantum theory intersections. Key themes include cost estimation optimization, stakeholder analytics, and PLM system integration across industries. Teaching Focus: Offers specialized courses in: Operational Information Systems Industrial Data Processing eBusiness/Supply Chain Management Business Intelligence Customer Relationship Analytics Product Lifecycle Management Contact: meyer@hs-mittweida.de | Grunert de Jácome Bau, Room 6-330 | Am Schwanenteich 4b, Mittweida

• Multimodal Generative AI
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Vicky Kalogeiton is a Professor in AI at École Polytechnique's Computer Science Laboratory (LIX) and leads the VISTA team. As an ELLIS member, her research focuses on multimodal generative AI with applications in medical imaging, efficient generation, and structured output modeling. She actively publishes in top venues like CVPR, ICCV, and IJCV, and supports Slow/ Open Science principles. PhD from University of Edinburgh and INRIA Grenoble Habilitation (HDR) from École Polytechnique 2024 Hi!Paris Chaire and multiple grants (ANR, Microsoft, DIM RFSI) Her recent work explores diffusion models for visual geolocation (Around the World in 80 Timesteps), camera motion control (AKiRa & E.T. dataset), and multimodal humor detection (FunnyNet-W). She pioneered coherence-aware training frameworks and cinematic trajectory analysis methods. Scientific recognition includes CVPR 2024 Highlight paper ACCV 2022 Student Honorable Mention ICCV-W 2021 Best Paper Award Outstanding Reviewer Awards (CVPR, ICCV, ECCV) She supervises current PhD candidates and has mentored numerous students across institutions like MBZUAI, Inria, and Telecom Paris. Her teaching includes Advanced Deep Learning and Computer Vision courses at École Polytechnique.

• Designing IT to be diversity-friendly
• Gender and Diversity in Higher Education
• Digital Sovereignty
• +۷ مورد دیگر

Prof. Dr. RyLee Hühne (Department of Computer Science + Natural Sciences, Fachhochschule Südwestfalen) specializes in gender- and diversity-aware IT design , with focus areas including equitable AI systems , digital sovereignty , and participatory software development . Their work bridges technical implementation with feminist theory and queer praxis. Key research themes: Non-binary gender compliance in university IT systems, algorithmic bias mitigation, and intersectional data collection frameworks Recent publications: 15+ works spanning feminist AI ethics, legal implications of non-binary recognition, and inclusive educational technology Notable collaborations include Helene Götschel on digital pedagogy and Aurelija Novelskaitė on trans* awareness in communication studies. Supervised 40+ Diplom theses across diverse IT topics, including security protocols, virtualization, and visualization techniques. Recipient of teaching awards for dialogue-based courses and student-centered learning innovations.

Thomas Christophelمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Working Memory
• Neuroimaging
• +۳ مورد دیگر

Dr. Thomas Christophel is a Junior Group Leader at Humboldt University Berlin's Institute of Psychology (Faculty of Life Sciences), leading the Distributed Cognition and Memory research group affiliated with Berlin Center for Advanced Neuroimaging (BCAN) at Charitéplatz 1. His research integrates fMRI neuroimaging with machine learning to decode distributed neural representations during working memory tasks. The lab investigates how sensory and non-sensory brain regions dynamically allocate memory contents to minimize interference, and how categorical neural codes (e.g., for color) emerge during retention. Recent work demonstrates multi-modal storage strategies across visual/auditory cortices and reveals region-specific neural coding schemes in ventral visual stream areas. The lab develops advanced pattern analysis tools for overlapping neural representations. Award highlights include: Emmy Noether Research Group Grant (DFG) The lab maintains active supervision of students including Chopurian, Kang, Seabra, and Gui, emphasizing transparent mentorship and inclusive collaboration. Current projects explore verbal strategies in spatial memory and interference-minimization mechanisms, supported by BCAN's state-of-the-art neuroimaging facilities. The Distributed Cognition and Memory group operates within Berlin Center for Advanced Neuroimaging, leveraging 7T MRI capabilities and interdisciplinary clinical neuroscience partnerships at Charité.