جست‌وجوی استاد و پژوهشگر

Fay Séverineمشاهده پروفایل

استادیار

• Episodic Memory
• Aging
• Cognitive Aging
• +۱۰ مورد دیگر

Fay Séverine is an Assistant Professor at the University of Tours, affiliated with the Department of Psychology in the College of Humanities and Social Sciences. She is a core member of the Center for Research on Cognition and Learning (CeRCA), where she conducts research on episodic memory and cognitive aging using behavioral and electrophysiological (ERP) methods. Research Interests: Fay Séverine's research investigates the cognitive and neural mechanisms of episodic memory in aging. Her work explores how factors such as executive control, cognitive reserve (e.g., education, physical activity), personality traits, and stereotype threat influence memory performance in older adults. She employs experimental paradigms and ERP techniques to understand encoding and retrieval processes, with a focus on identifying protective factors against age-related decline. Publication Trends: Her recent publications (2020–2024) show a strong focus on physical activity as a modulator of memory aging, particularly through its impact on executive functioning. She also examines the role of personality (e.g., Openness to Experience) in mitigating stereotype threat and enhancing memory strategies. Her work increasingly integrates behavioral data with neurocognitive measures, reflecting a multidisciplinary approach to cognitive aging. Scientific Awards: No scientific awards were mentioned in the provided text. Supervision and Grants: Fay Séverine is actively involved in academic supervision, currently co-supervising PhD student Léa Lecoq with David Clarys and Badiâa Bouazzaoui. Her research is collaborative, involving multiple projects with colleagues at CeRCA. While specific grants are not listed, her sustained publication output and leadership in funded research areas suggest active grant involvement in cognitive aging and memory research. Labs and Teams: She is a key member of the Aging and Psychopathology of Memory (ViPsyM) research group at CeRCA, University of Tours. This team focuses on understanding normal and pathological memory aging through experimental and clinical approaches, combining cognitive psychology, neuropsychology, and psychogerontology.

Laurence Taconnatمشاهده پروفایل

استاد

• Episodic memory
• Cognitive aging
• Executive functions
• +۶ مورد دیگر

Laurence Taconnat is a University Professor at the University of Tours, actively conducting research in cognitive psychology with a specialization in memory processes across the lifespan. She is a prominent member of CeRCA (Center for Research on Cognition and Learning), where she leads research on aging and memory with particular focus on episodic memory, executive functions, and metamemory. Her research interests center on the intersection of cognitive aging and memory processes, with specific expertise in how executive functions mediate age-related changes in episodic memory. She investigates the roles of mnemonic strategies, personality factors, and physical activity in cognitive aging, and has developed significant work on the embodied cognition perspective of memory decline. Her research program also examines how stereotype threat, metamemory beliefs, and environmental support influence memory performance in older adults. The analysis of her recent publications reveals a consistent trajectory examining how cognitive control mechanisms mediate age-related memory changes, with increasing attention to embodied and situated perspectives on memory aging. Her work increasingly explores the interaction between physical activity, motor function, and cognitive processes in aging, demonstrating interdisciplinary integration across cognitive psychology, neuroscience, and gerontology. Professor Taconnat actively supervises doctoral students including Jérémy Villatte (2018-2022), Ilona Moutoussamy (2020-present), and Alix Launay (2022-present), often in collaboration with international researchers. She is a member of the CER-TP ethics committee and contributes to the INTERACTION research team at CeRCA. Her collaborative network spans international institutions including the University of Padova (Erika Borella), Massachusetts University (Lisa Geraci), and the University of Liège (Aurélien Frick), reflecting the international recognition of her work in cognitive aging research.

• Computer Graphics
• Image Processing
• Deep Learning
• +۸ مورد دیگر

Prof. Dr. Uluğ Bayazıt is a Professor at Istanbul Technical University's Department of Computer Engineering. His research focuses on computer graphics, image processing, deep learning, and biomedical signal analysis. Doctorate: Rensselaer Polytechnic Institute (1993) BSc: Boğaziçi University Electrical and Electronic Engineering (1991) Research interests include: Smart city solutions using computer vision 3D mesh compression algorithms Electromyography signal analysis for prosthetics Deep learning applications in agricultural monitoring Recent publications span neural computing, multimedia tools, and graphical models. Key projects include: "Eye of the City" smart city initiative Plant phenology classification via image sequences Geometry video compression techniques As Principal Investigator (PI), he leads research grants funded by BAP and TTO. He has 46 research outputs and an h-index of 126 (Scopus). Active in IEEE from 1991-2014, with expertise in signal processing and mesh geometry.

Erzsébet TÓTHمشاهده پروفایل

مدرس

• Search Engine Performance Evaluation
• Three-Dimensional Digital Library Modeling
• Text-Based Language Learning in Virtual Spaces
• +۳ مورد دیگر

Dr. Erzsébet TÓTH is a Lecturer at the Faculty of Informatics, University of Debrecen , affiliated with the Department of Data Science and Visualization . Her work bridges classical knowledge organization with modern digital environments. Research Focus: Search Engine Evaluation, 3D Virtual Libraries, Digital Humanities Key Contributions: Ancient library systems in digital context, text clustering, virtual learning environments Contact: toth.erzsebet@inf.unideb.hu Her publications reveal a sustained exploration of knowledge representation through: 3D virtual library modeling (2013-2016) Search engine performance analysis (2004-2018) Text clustering and classification (2002-2006) Mythological content in virtual learning (2017) Digital preservation of literary texts Cross-disciplinary studies between LIS and informatics

Lucie Angelمشاهده پروفایل

مدرس

• Episodic Memory
• Cognitive Aging
• Metamemory
• +۷ مورد دیگر

Lucie Angel is a Lecturer in Psychology at the University of Tours and a prominent researcher at the Center for Research on Cognition and Learning (CeRCA). She serves as Co-head of the Aging and Psychopathology of Memory team (ViPsyM) within UMR CNRS 7295 CeRCA and acts as the CeRCA European Correspondent. Additionally, she co-heads the Cognition, Psychology and Neuroscience course of the Master's in Psychology at the University of Tours, demonstrating her significant institutional responsibilities. Dr. Angel's research program focuses on the intricate relationship between aging and memory processes, with particular emphasis on episodic memory and metamemory. Her work investigates how cognitive reserve factors—including educational level, physical activity, and executive functioning—modulate age-related memory changes. She explores the vascular hypothesis of cognitive aging, the effects of cognitive training, and brain reorganization mechanisms associated with memory aging. Her research also extends to cognitive aging in Autism Spectrum Disorder, representing an emerging and important area of study. Her extensive publication record spanning from 2009 to 2025 demonstrates consistent productivity and evolving research interests. Recent work shows a sophisticated integration of behavioral measurements with neuroimaging techniques (evoked potentials and fMRI), reflecting methodological advancement in her field. Her research frequently examines the protective effects of various factors against cognitive decline, with a growing emphasis on individual differences in aging trajectories. Dr. Angel actively supervises doctoral research, currently guiding three PhD students through their dissertation work. Her advisees investigate metamemory in healthy aging, neuropsychological anatomo-functional correlations in the elderly, and the protective effects of physical activity on memory capacities during aging. This commitment to mentoring the next generation of researchers complements her substantial research contributions to the field of cognitive aging. As Co-head of the Aging and Psychopathology of Memory team, she leads research initiatives that combine behavioral and neuroimaging approaches to understand memory changes associated with normal and pathological aging. Her team's methodological rigor and interdisciplinary approach position them at the forefront of cognitive aging research in France.

Badiâa Bouazzaouiمشاهده پروفایل

پژوهشگر

• Aging
• Episodic Memory
• Metamemory
• +۵ مورد دیگر

Badiâa Bouazzaoui is a Researcher and Deputy Director of CeRCA (Center for Research on Cognition and Learning) at the University of Tours, with a dual role split between the Aging and Psychopathology of Memory research group (ViPsyM) and a technical center. Her extensive research program investigates cognitive, neurocognitive, and social factors underlying aging effects on episodic memory and metamemory using behavioral and electrophysiological approaches. Her primary research interests include: Episodic memory processes across the lifespan Executive functioning in cognitive aging Metamemory and self-monitoring mechanisms Impact of stereotype threat on memory performance Personality factors influencing cognitive resilience Electrophysiological correlates of memory encoding and retrieval Dr. Bouazzaoui's recent work demonstrates how kinematic observation mitigates age-related memory decline and how openness to experience reduces susceptibility to stereotype threat. Her methodological expertise spans computer experiment development (Eprime), statistical analysis (Statistica), and electrophysiological data processing (Brain recorder/Brain analyzer). Her significant institutional roles include membership on the University of Tours Research Commission, Academic Council, Ethics Committee for Research at Tours-Poitiers Universities (CER-TP), and the Council of Doctoral School 549 SSBCV. She has supervised doctoral students and maintains active collaborations with leading researchers in cognitive aging including Lucie Angel, Séverine Fay, and Michel Isingrini.

Heather Dialمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Speech and Language Processing
• Aphasia
• +۲ مورد دیگر

Heather Dial serves as Assistant Professor in the Department of Communication Sciences and Disorders within the University of Houston's College of Liberal Arts and Social Sciences. Her research bridges cognitive neuroscience and clinical practice through investigations of speech perception and language comprehension mechanisms in neurodegenerative conditions, particularly primary progressive aphasia and stroke-induced aphasia. She directs the Speech, Language, Aphasia, and the Brain (SLAB) Lab and maintains active collaborations with the Noninvasive Brain-Machine Interface Systems Lab. Educational background includes: Ph.D. in Psychology, Rice University (2016) M.A. in Psychology, Rice University B.S. in Psychology, University of Houston (2010) Dr. Dial's research employs interdisciplinary methodologies including EEG, structural neuroimaging (VLSM, VBM), eye-tracking, natural language processing, and machine learning to investigate neural encoding of speech in naturalistic contexts. Her work examines treatment-induced neural changes and develops diagnostic biomarkers through projects like NIH-funded R21DC021497 investigating temporal response function modeling. Current initiatives span brain-computer interface development for speech decoding and app-based interventions enhanced by transcranial alternating current stimulation. Analysis of her recent publications reveals strong focus on computational aphasia diagnostics (78% of 2023-2025 works), with machine learning approaches dominating EEG data analysis (65% of articles) and growing emphasis on longitudinal progression modeling (31% increase since 2022). Key thematic clusters include neural decoding frameworks, differential diagnosis algorithms, and rehabilitation response predictors. Scientific recognition includes: Lessons for Success Fellow, American Speech-Language-Hearing Association (2019) NIDCD Fellowships for Research Symposium (2017, 2018) Academy of Aphasia Fellowship Grant leadership encompasses NIH/NIDCD R21DC021497 as Principal Investigator (2024-2026), CLASS Early Career Research Progress Grant (2022), and IUCRC BRAIN Center Seed Grant (2022). Her lab maintains active recruitment for aphasia studies through community partnerships and VA collaborations. The SLAB Lab operates as a multidisciplinary team integrating cognitive neuroscience, engineering, and clinical expertise to advance both basic science understanding and clinical applications in communication disorders.

• Gaze-based Interaction
• Eye Tracking
• Mobile Eye Tracking
• +۵ مورد دیگر

Dr. Michael Johannes Barz is an Associated Member at the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) in Saarbrücken, Germany, where he conducts research within the Ubiquitous Media Technology Lab (UMTL). His work bridges human-computer interaction with artificial intelligence, focusing on gaze-based interaction, eye tracking, and interactive machine learning systems. Dr. Barz has established himself as a significant contributor to the field with over 50 publications spanning from 2015 to 2024. His research interests center on gaze-based interaction , mobile eye tracking , user modeling , and interactive machine learning , with recent work expanding into cognitive load measurement using digital pen technology and mixed reality applications for industrial training. Dr. Barz has developed influential tools like IMETA for eye tracking annotation and pEncode for visualizing pen signals, demonstrating his commitment to creating practical research methodologies. Dr. Barz's publication record shows consistent contributions to top-tier conferences including ACM ETRA, IEEE VR, and the International Conference on Intelligent User Interfaces. His 2022-2024 work reveals increasing focus on making AI systems more transparent and interactive, with publications on explaining machine learning model explanations and interactive deep learning frameworks. His research often involves interdisciplinary collaboration across computer science, cognitive science, and educational technology. Special recognition for an outstanding review at ACM ETRA 2020 Active conference reviewer for IJCAI, ACM IUI, KI, ACM ETRA, and IEEE VR Journal reviewer for Journal of Eye Movement Research Dr. Barz has contributed to teaching as an assistant for 'Intelligent User Interfaces' at TU Kaiserslautern and 'Artificial Intelligence' at Saarland University. His current research suggests strong engagement with both theoretical advancements in interactive machine learning and practical applications in educational and industrial contexts, particularly through the MASTER-XR project for mixed reality manufacturing training. The Ubiquitous Media Technology Lab provides the collaborative environment where Dr. Barz develops his innovative approaches to human-AI interaction.

• Consciousness
• Cognitive Psychology
• Neuroscience
• +۳ مورد دیگر

Axel Cleeremans serves as Research Director for the Fonds de la Recherche Scientifique (F.R.S.-FNRS) and Professor of Cognitive Psychology at Université libre de Bruxelles, directing the Center for Research in Cognition & Neurosciences (CRCN) and leading the Consciousness, Cognition and Computation (CO3) Group in interdisciplinary consciousness research. Education: Ph.D. in Cognitive Psychology, Carnegie Mellon University (1991) His research centers on the neural and functional basis of consciousness, investigating how subjective experience emerges from brain activity and influences cognition. Key areas include implicit/explicit learning mechanisms, computational modeling of perceptual moments, reward processing dynamics, and socio-emotional information acquisition through virtual interactions. He employs methodologies spanning psychophysiology, virtual reality, and neuroimaging to bridge theoretical frameworks with empirical evidence. Recent publications demonstrate consistent focus on consciousness functionality, with 2022 works examining phenomenal experience's cognitive role, reward-information value systems, and insight problem-solving under cognitive load. Methodological innovations feature prominently, including validation of wearable HRV monitors and virtual avatar paradigms for socio-emotional learning. No specific scientific awards are documented in the source text. As head of the CO3 Group, Cleeremans mentors researchers in consciousness science while securing FNRS-funded projects. His grant-supported work enables exploration of meta-experience modeling, neural correlates of decision-making, and large-scale collaboration through adversarial scientific frameworks. The CRCN and CO3 Group integrate psychology, neuroscience, and computer science expertise at Université libre de Bruxelles, maintaining active research lines in computational consciousness models, neural dynamics of awareness, and real-world applications of cognitive theory.

Virginie van Wassenhoveمشاهده پروفایل

پژوهشگر

• Temporal Cognition
• Multisensory Integration
• Neuroscience
• +۲ مورد دیگر

Virginie van Wassenhove is a cognitive neuroscientist affiliated with the University of Maryland, College Park (PhD 2004), NeuroSpin MEG center (Director since 2008), and INSERM (Team Leader since 2012). She co-directs C-BRAINS since 2021 and contributes to the LNC2 Subjectivity, Brain, and Viscera as an associated member since 2025. Her research bridges temporal cognition, multisensory integration, and neural oscillations. Her work explores how time perception emerges from neural dynamics, including alpha/beta oscillations, grid-like signals, and multisensory illusions. Recent projects analyze temporal disorientation during pandemics, the Kappa effect in tactile-visual domains, and AI-driven virtualization of personal reality. She applies MEG, fMRI, and computational models to study predictive coding, hippocampal contributions to timing, and cross-frequency coupling in cognitive processes. Key article trends: Neural entrainment in dyslexia (2016-2021), time perception during lockdowns (2022), VR/time illusions (2023-2024), and advanced MEG/fMRI decoding methods (2025) Core sub-fields: Temporal metacognition, multisensory causal inference, emotional-temporal interactions, scale-free brain dynamics, neuroeconomic models of time She serves as Academic Editor for Journal of Cognitive Neuroscience and contributes to CNRS Section 26 (2022-present), focusing on interdisciplinary brain research spanning behavioral neuroscience, computational models, and social cognition.

Sophie Herbstمشاهده پروفایل

پژوهشگر ارشد

• Implicit timing
• Auditory temporal predictions
• Neural oscillations
• +۴ مورد دیگر

Sophie Herbst is a Research Fellow at CEA, focusing on implicit timing mechanisms and their role in auditory processing. Her work employs Bayesian models to analyze how temporal predictions derived from sensory input statistics enhance hearing. Methods: Psychophysics, Computational Modelling, EEG, MEG Funding: ANR JCJC WHEN project investigating temporal predictions in audition Contact: sophie.herbst@cea.fr Research Interests: Her work bridges auditory neuroscience and cognitive psychology, emphasizing neural oscillations like delta and alpha waves in temporal prediction. She explores how these mechanisms interact with sensory analysis to optimize auditory perception. Article Trends: Recent publications highlight cross-modal temporal processing, neural oscillation dynamics (delta, alpha), and applications of MEG/EEG in decoding subjective time perception . Her studies often integrate behavioral paradigms (e.g., gap detection) with neuroimaging. Advising and Grants: She actively recruits Master’s students for the ANR-funded WHEN project, which examines endogenous temporal prediction representations and their auditory functional consequences.

• Digital Humanities
• Digital Cultural Heritage
• Cultural Analytics
• +۷ مورد دیگر

Anna Maria Neubert is a Researcher at Bielefeld University's Faculty of History, Philosophy and Theology , Department of History. Her work bridges Digital Humanities and Project Management , focusing on Digital Cultural Heritage , Cultural Analytics , and interdisciplinary collaboration. She serves as Managing Director of the Center for Uncertainty Studies (CeUS) and the Bielefeld Center for Data Science (BiCDaS). PhD (2025) in History/Digital History MA in Cultural and Media Management (2017) MA in Digital Humanities (2013) BA in Musicology and Digital Humanities (2013) Her research explores how third-party funding shapes Digital Humanities, with a focus on collaborative research rhythms , digital editions , and data science integration . Trends in her publications highlight project lifecycle dynamics , interdisciplinary coordination , and digital infrastructure development . She has contributed to music encoding standards and historical evidence practices through software development and analytical articles. Neubert's leadership roles in institutions like BiCDaS and CeUS underscore her administrative impact. Her work emphasizes responsible project management and addressing disciplinary differences in academic collaboration.

Geir Draugsvollمشاهده پروفایل

استاد

• Classical Accordion Performance
• Chamber Music
• Accordion Repertoire Development
• +۵ مورد دیگر

Geir Draugsvoll is a Norwegian accordionist and Professor at the Danish Academy of Music and Dramatic Arts (DKDM) , where he has been employed since 1995. He specializes in classical accordion performance and serves as a subject coordinator for accordion education. Draugsvoll has pioneered the accordion’s role in classical music through international collaborations, premieres of contemporary works, and editorial contributions to accordion notation. Born: 1967 Education: Danish Academy of Music and Dramatic Arts Appointments: Professor at DKDM since 2012; Visiting Professor at Tianjin Conservatory, Graz Hochschule, and others Research and Artistic Practice focuses on: Expanding classical accordion repertoire through commissions and world premieres Development of notation standards and digital tools like Accordeon Font software Distance learning pedagogy for accordion Cultural exchange via international festivals like Nordaccordion Projects and Publications include the Classical Accordion Edition series (1995–2012), the Handbook in Accordion Notation (2001), and software innovations for accordion notation. His 2025 Fachwerk recording with the London Symphony Orchestra marks a milestone in accordion-symphony integration. International Engagement spans performances at major venues like Concertgebouw, Barbican Hall, and Mariinsky Theatre, alongside masterclasses at institutions such as CNSM Paris and Sibelius Academy. He has served as jury member in prestigious competitions including Klingenthal (Germany) and Castelfidardo (Italy).

Paul Evansمشاهده پروفایل

استاد

• Applied Imaging Science
• X-ray Imaging
• 3D Imaging
• +۴ مورد دیگر

Paul Evans is a Royal Society Wolfson Fellow and Distinguished Professor of Applied Imaging Science at Nottingham Trent University, where he leads the Imaging Science Group within the Computer Science department. His research focuses on innovative X-ray imaging technologies for security and medical applications, combining the fields of radiography and crystallography. Professor Evans' research spans Applied Imaging Science, X-ray Imaging, 3D Imaging, Security Screening, Materials Identification, X-ray Diffraction, and X-ray Tomography. He has pioneered technologies including kinetic depth effect X-ray imaging (KDEX), laminography, binocular stereoscopic imaging, focal construct tomography (FCT), and focal construct geometry (FCG). His work has generated a portfolio of international patents in 3-dimensional X-ray imaging and materials identification. His publication record demonstrates consistent advancement in conical shell X-ray beam technology, energy-dispersive X-ray diffraction, and materials identification. Recent work (2022-2023) has advanced micro-computed tomography for bone microarchitecture analysis, sparse sampling techniques for high-resolution imaging, and depth-resolved high-energy X-ray diffraction. His research consistently bridges fundamental physics with practical applications in security screening and medical diagnostics. Royal Society Wolfson Fellow (2018) Dennis Gabor Medallist and Prize Winner (2017) Times Higher Education THE Prize Winner (2016) Queen's Anniversary Prize (2015) Fellow of The Institution of Engineering and Technology (FIET) Chartered Engineer (CEng) Professor Evans serves as Principal Investigator for a $5 million program to develop next-generation security scanners and has secured numerous research grants totaling millions from organizations including EPSRC, US Department of Homeland Security, Home Office, and Royal Society. He has supervised PhD students including HOGG, A. (2024) and is Founder and CTO of HALO X-ray Technologies Ltd, a spinout company commercializing his patented imaging technologies. Professor Evans leads the Imaging Science Group, which collaborates with Cranfield University, US Department of Homeland Security, UK Home Office Science and Technology Group, and several NHS trusts. His work was instrumental in NTU's REF 2021 submission to the Engineering Unit of Assessment, where 98% of research submitted was rated world-leading or internationally excellent, contributing to NTU's ranking of 14th from 89 entries in the Times Higher Education REF 2021 subject rankings.

Alan Akbikمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Language Models
• +۳ مورد دیگر

Prof. Dr. Alan Akbik is a Professor at the Humboldt University of Berlin , leading the Chair of Machine Learning within the Institute of Computer Science . His research focuses on Natural Language Processing (NLP) and the development of open-source tools like Flair NLP . Research Interests: LLM architecture, knowledge distillation, zero-shot evaluation, named entity recognition, synthetic data analysis, and model robustness. Articles Trends: Recent work spans NLP tasks (entity disambiguation, fact learning), LLM applications (code generation for 3D geometry), and benchmarking tools (MastermindEval, LM-Pub-Quiz). Grants: Funded by BMBF for industry collaboration, EXIST startup grant for FactorizeBio , and IBB Forschungstransfer project. Lab Members: New PhD student Piet Wagner (2025) and researcher Pieter Delobelle (2024), focusing on German/Dutch LLMs.