جستجوی استاد راهنمای دانشگاهی

Christine SCHILTZ is a Full Professor in Cognitive Neuroscience at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, Department of Behavioural and Cognitive Sciences. Her work focuses on numerical cognition, spatial attention, face perception, and cognitive development, employing neuroimaging techniques such as EEG/MEG. She leads research initiatives addressing multilingual education challenges, particularly in diagnosing learning disorders in mathematics within Luxembourg's multicultural context. Her team develops innovative assessment tools like the LuxMatheTest to evaluate numerical competencies in multilingual children. Her research integrates neuroscientific methods with educational applications, exploring how language and environment influence mathematical learning. Key projects include studying dyslexia's neural underpinnings, spatial coding in arithmetic, and the impact of bilingualism on numerical processing. Recent studies investigate socioeconomic factors affecting math education and the role of visual stimulation in understanding word and number recognition. Publications highlight advancements in neuroimaging analysis (e.g., FPVS techniques), early childhood development, and educational policy. She collaborates internationally on large-scale assessments of cognitive abilities and contributes to evidence-based strategies for inclusive education systems. Her work bridges fundamental cognitive science with applied educational research, emphasizing practical solutions for multilingual learning environments.

• Cognitive Neuroscience
• Numerical Cognition
• Neuroimaging
• +۴ مورد دیگر

Assoc. Prof. Andreas BUND is an Associate Professor in physical education, motor learning, and development at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences. He is affiliated with the Department of Education and Social Work, located at the Maison Sciences Humaines (MSH) campus office E03 0325250. His contact details include the email andreas.bund@uni.lu and phone number (+352) 46 66 44 9731. His research focuses on Motor Behavior , Motor Learning , Motor Development , Physical Activity , and Physical Education . These areas emphasize understanding human movement patterns, educational strategies for skill acquisition, and promoting physical well-being across developmental stages. No specific articles, grants, or awards are listed in the provided text. His institutional profile directs users to view his publications via ORBilu, though none are explicitly detailed here.

• Motor Behavior
• Motor Learning
• Motor Development
• +۲ مورد دیگر

Ana Carolina Teixeira Santos is a Research Scientist at the University of Luxembourg's Department of Social Sciences, within the Faculty of Humanities, Education and Social Sciences. Her research focuses on Public Health, Clinical Psychology, and Neurosciences, with specific interests in cognitive aging, mindfulness, and migration and aging dynamics. She has conducted research stays in the USA, Luxembourg, Brazil, and Portugal. Her work explores non-pharmacological interventions, health aging literacy, and cognitive neuroscience, aiming to improve understanding of aging processes and their societal impacts. Professional profiles include LinkedIn, Google Scholar, and Twitter for further engagement. Contact via anacarolina.santos@uni.lu or +352 46 66 44 9763.

• Public Health
• Clinical Psychology
• Cognitive Neuroscience
• +۳ مورد دیگر

Anis KACEM is a Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg, part of the Signal Processing and Satellite Communications (SIGCOM) research group. His work focuses on Computer Vision and Pattern Recognition, particularly in Human Behavior Understanding from visual data. He received his PhD in Computer Science from the University of Lille (France) in 2018. Research interests include advanced topics such as Earth Observation via multi-modal autoencoders, domain adaptation for image classification, vulnerability-aware deepfake detection, and CAD system reverse engineering. His contributions span neural network pruning, 3D shape analysis, and generative models for medical imaging. Publications highlight innovations in spatio-temporal learning for deepfake detection, hybrid attention mechanisms for pedestrian detection, and tool-augmented CAD task solvers. His work bridges theoretical advances with practical applications in autonomous systems and space technology. Notably, he has contributed to challenges like the SHARP 2023 Challenge on CAD history recovery and developed frameworks like Picasso for CAD sketch inference using self-supervised learning.

• Computer Vision
• Pattern Recognition
• Human Behavior Understanding
• +۵ مورد دیگر

Heiko SCHÜTT is an Associate Professor of Computational Science and Modelling at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences. He is affiliated with the Department of Behavioural and Cognitive Sciences, where his research focuses on integrating computational models with cognitive and neural processes. His work spans machine learning, perceptual decision making, and visual perception, leveraging tools like deep neural networks and Bayesian analysis. Key research interests include analyzing neural representations through methods like representational similarity analysis, developing probabilistic models for feature segmentation, and investigating reward processing mechanisms in the brain. His publications highlight contributions to understanding how computational models can explain human cognition, particularly in areas like face recognition and color constancy. Recent work emphasizes the application of Bayesian experimental design to controversial stimuli and the optimization of loss functions in machine learning contexts. SCHÜTT collaborates across disciplines, bridging artificial intelligence with neuroscientific insights while maintaining a focus on experimental validation of computational hypotheses. He holds a strong academic profile with over 35 publications since 2016, addressing topics ranging from early visual processing to high-level cognitive functions. Despite his prolific output, no formal awards or grants are listed in the provided materials.

• Computational Neuroscience
• Machine Learning
• Perceptual Decision Making
• +۳ مورد دیگر

Dina Maskileyson is an Associate Professor in Health Inequalities and Social Policy at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, Department of Social Sciences. Her research focuses on health disparities, immigration impacts, public policy evaluation, and pandemic-related social dynamics. She holds an office at Maison Sciences Humaines, Esch-sur-Alzette. Her work addresses critical questions such as how economic policies affect mental health during crises, the role of vaccination in reducing pandemic-related fears, and mechanisms behind health gaps between immigrants and native populations. Her recent studies span comparative analyses across Europe, Israel, and the US, emphasizing cross-cultural validity of health measurement tools and policy effectiveness. Publications highlight interdisciplinary approaches combining epidemiology, social psychology, and policy analysis. She has contributed to understanding non-pharmaceutical interventions in disease control and correlates of vaccine hesitancy. Her research frequently intersects with labor market outcomes for immigrants, emphasizing generational and economic integration factors. No scientific awards are listed. Current grants or lab affiliations are unspecified in provided texts. Her work consistently bridges empirical data with policy recommendations, particularly in aging populations and marginalized groups.

• Health Inequalities
• Social Policy
• Immigration Studies
• +۳ مورد دیگر

Christoph Niepel is a Research Scientist at the Department of Behavioural and Cognitive Sciences within the Faculty of Humanities, Education and Social Sciences at the University of Luxembourg. He holds a doctorate in psychology from the University of Trier, Germany, and possesses PhD supervision rights at the University of Luxembourg. His work focuses on motivation, personality, and assessment in educational contexts. His research centers on understanding how individual differences in motivation and personality influence learning and assessment outcomes. He employs psychometric and experimental methods to investigate constructs such as academic motivation, self-regulated learning, and test-taking behaviors. His interdisciplinary approach bridges educational psychology with cognitive science and measurement theory. Christoph Niepel has been actively involved in editorial roles, serving as Associate Editor for Thinking Skills and Creativity and as a member of the editorial board for Journal of Educational Psychology . He has also acted as a guest editor for special issues. His publications appear in top-tier peer-reviewed journals, reflecting strong scholarly impact in the field of educational psychology. He has successfully secured over €1.3 million in research funding as a principal investigator and has held visiting scholar positions in Australia, Germany, Norway, and the United States, contributing to international research collaborations. While no specific students are listed, his PhD supervision rights indicate active mentorship of doctoral candidates. He is associated with research conducted at the Maison des Sciences Humaines (MSH) in Esch-sur-Alzette, where his office is located. His work contributes to the broader research mission of the Department of Behavioural and Cognitive Sciences in advancing empirical understanding of human cognition and behavior in educational settings.

• Educational Psychology
• Motivation
• Personality
• +۳ مورد دیگر

Philip SANTANGELO is an Associate Professor in Behavioural Health Technology Interventions at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, within the Department of Behavioural and Cognitive Sciences. His research focuses on leveraging digital technologies for mental health assessment and intervention, particularly in areas like borderline personality disorder, PTSD, and adolescent mental health. He specializes in ambulatory assessment methods, including ecological momentary assessment (EMA), digital phenotyping, and mobile health (mHealth) applications to study emotion regulation, stress, and behavioral patterns in real-world settings. Key research interests include the development of transdiagnostic tools for mental health monitoring, the integration of passive sensing technologies with active self-report methods, and the evaluation of telemedicine interventions. He has contributed to understanding affective instability in clinical populations and the application of advanced statistical models to analyze temporal dynamics in psychological data. His work bridges clinical psychology, technology, and quantitative methodology to improve mental health care delivery and outcomes. Notable projects include the STAR collaborative nonsuicidal self-injury study and investigations into the efficacy of trauma-focused dialectical behavior therapy (DBT) in online formats. He emphasizes interdisciplinary collaboration in developing context-aware digital tools for mental health research and practice, as demonstrated in his work with the ESMAC web-based configurator for EMA apps. Dr. SANTANGELO's research also addresses geospatial analysis of behavioral patterns in trauma survivors and explores the role of self-esteem instability in borderline personality disorder. His publications span methodological innovations in ambulatory assessment, clinical trial designs, and systematic reviews of EMA applications in disorders like anorexia nervosa and binge-eating disorder. His work aims to translate technological advancements into actionable insights for mental health practitioners and policymakers.

• Digital Technology in Mental Health
• Borderline Personality Disorder
• Ecological Momentary Assessment
• +۷ مورد دیگر

Lisa Maria Drost is a Postdoctoral researcher at the University of Luxembourg's Department of Behavioural and Cognitive Sciences within the Faculty of Humanities, Education and Social Sciences. She is based at the Maison Sciences Humaines in Esch-sur-Alzette, Luxembourg, with office MSH, E04 0435140. Contact details include email lisa.drost@uni.lu and phone (+352) 46 66 44 9298. Her research interests align with the department's focus on behavioral and cognitive sciences, encompassing interdisciplinary approaches to understanding human cognition, neuroscience applications, and developmental psychology. While specific publications are listed on ORBilu, detailed article summaries are not provided here. No scientific awards or grants are explicitly mentioned in the profile. Her professional activities are centered on postdoctoral research within the university's academic framework.

• Cognitive Science
• Behavioral Sciences
• Neuroscience
• +۳ مورد دیگر

Sasan JAFARNEJAD is a postdoctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), affiliated with the Ubiquitous and Intelligent Systems (UBIX) research group. Previously, he served as Chief Technology Officer (CTO) at Motion-S for three years. He holds a PhD from the University of Luxembourg (2020), focusing on driver behavior modeling using deep/machine learning algorithms. His research interests center on enhancing geospatial reasoning capabilities of large language models (LLMs) and their applications in transportation and mobility. He also explores computational methods for understanding human-driven systems. No specific scientific awards or grants are mentioned in the provided text. His work is part of the UBIX group, though no lab-specific details are disclosed.

• Geospatial Reasoning
• Large Language Models (LLMs)
• Transportation Systems
• +۴ مورد دیگر