جست‌وجوی استاد و پژوهشگر

Marta Ferrer Garciaمشاهده پروفایل

دانشیار

• Clinical Psychology
• Psychological Assessment
• Virtual Reality Applications
• +۳ مورد دیگر

Marta Ferrer Garcia is an Associate Professor at the Department of Clinical Psychology and Psychobiology, University of Barcelona. She currently serves as Vice-Rector for Students and Participation since 2021 and previously held the role of Academic Secretary at the Faculty of Psychology (2018-2021). Her academic training includes a Degree in Psychology (2000) and a PhD (2010), both from the University of Barcelona, alongside specialized master's and postgraduate qualifications in clinical psychopathology and educational intervention. Her research focuses on applying virtual reality (VR) technologies to clinical and health psychology, particularly in treating eating disorders and body image disturbances. She leads the VR-PSY Lab and collaborates with the Innovation Group for Teaching Improvement in Clinical Psychology. Key areas include modifying attentional biases through VR exposure therapy for anorexia nervosa, and developing VR-based protocols for alcohol use disorder treatment. Recent publications (2017-2021) emphasize VR applications in body image assessment, attentional bias analysis, and treatment efficacy for eating disorders. She has coordinated EU-funded projects like AN-VR-BE (2020-2023) and collaborated on studies involving Hospital de Sant Rafael. Teaching responsibilities include undergraduate courses in Psychopathology and Personality Psychology. Her research portfolio includes 9 major projects (2015-2025) addressing information competence in psychology education, musculoskeletal patient treatment satisfaction, and VR exposure techniques. Supervised doctoral research includes Bruno Porras García's work on AN-VR-BE.

• Artificial Intelligence
• Human-Computer Interaction
• User Interface Design
• +۵ مورد دیگر

Joongi Shin is a Postdoctoral Researcher affiliated with the Department of Information and Communications Engineering and the User Interfaces research group. He holds a Doctoral degree from the Korea Advanced Institute of Science and Technology (KAIST), awarded in August 2021. His research focuses on advancing human-AI collaboration in design, exploring topics like large language models (LLMs), participatory design, and consensus-building in co-design processes. He investigates how AI can enhance workflow efficiency, idea generation, and user interface design while addressing challenges in posture ergonomics and collaborative technologies. Key research trends include analyzing AI's role in problem reframing, generating personas, and integrating chatbots for consensus-building. His work bridges computational tools with human-centric design principles, emphasizing practical applications in both digital and physical domains. Collaborations with researchers like Antti Oulasvirta and Ana Lucero highlight his engagement with interactive systems and human factors. Joongi’s contributions span academic conferences such as CHI, UIST, and DIS, focusing on innovative applications of AI in design processes and ergonomic solutions for non-traditional workspaces.

• Cognitive Neuroscience
• Neurology
• Geriatrics and Gerontology
• +۳ مورد دیگر

Dr. Rebecca St George is a Senior Lecturer in Psychology at the University of Tasmania's School of Psychological Sciences. She holds a PhD in Neuroscience (2010) and has extensive postdoctoral experience, including NHMRC fellowships at University College London and the Oregon Health and Science University. Her research focuses on cognitive neuroscience, particularly the neural mechanisms underlying balance, gait, and movement in aging and neurodegenerative disorders like Parkinson's and Alzheimer's. She employs advanced techniques such as fNIRS, motion capture, and AI-driven analysis to identify early biomarkers of cognitive decline. Education: PhD in Neuroscience, University of New South Wales (2010) BSc (Hons I Physiology), University of New South Wales BSc (Physics) & BA (Psychology), University of Newcastle Research Interests: Dr. St George investigates how aging and neurological disorders affect motor control and cognitive-motor integration. Key areas include: - Cortical control of balance and gait - Use of AI to detect early dementia biomarkers - Impact of cognitive decline on adaptive stepping behaviors - Neurological mechanisms of postural control in Parkinson's and MS Awards & Grants: NHMRC CJ Martin Early Career Fellowship (2012–2020) Vice Chancellor's Trailblazing Discovery Award (2023) National Health & Medical Research Council Grant ($1.006M, 2024–2028) for facial/eye movement analysis in neurodegenerative disorders Teaching & Supervision: Coordinates PSY 112: Brain and Behaviour and supervises doctoral students in topics like dementia biomarkers, motor inhibition, and AI applications in healthcare. Labs & Collaborations: Works with the Wicking Dementia Research Centre and Menzies Institute for Medical Research. Her lab integrates clinical neurophysiology with computational tools for movement analysis.

Markku Niemivirtaمشاهده پروفایل

استاد

• Educational Psychology
• Motivation
• Learning
• +۵ مورد دیگر

Markku Niemivirta is a Professor at the University of Eastern Finland. He serves as a supervisor in the Doctoral Program in Cognition, Learning, Teaching and Communication, and the Doctoral Program in School, Education, Society and Culture. His research focuses on developmental relationships between motivation, achievement, and well-being, alongside situational dynamics in motivation and task engagement. He also investigates brain activity related to error processing and its links to individual differences in motivation and neurocognitive functioning. Niemivirta has led multiple research projects, including studies on motivational dynamics and neurocognitive development in children. He actively participates in international conferences and collaborates with researchers globally. Notably, he contributed to projects such as '(Eye)Tracking individual differences in numeracy development' and 'The developmental dynamics in mathematics, cognition, and well-being in China and Finland'. His work emphasizes interdisciplinary approaches, blending educational psychology, cognitive neuroscience, and developmental science.

• Artificial Intelligence
• Human-Computer Interaction
• Narrative Systems
• +۵ مورد دیگر

Professor Fred Charles serves as Head of Department for Creative Technology at Bournemouth University, specializing in computational intelligence applied to simulated worlds. His expertise spans artificial intelligence, human-computer interaction, and interactive narrative systems, with significant contributions to virtual reality and brain-computer interface technologies. His research has led to award-winning interactive systems and numerous publications in top-tier conferences and journals. Education: PhD in Computer Science ("Intelligent Virtual Actors in Interactive Storytelling") Master's degree in Computer Aided Graphical Technology Applications BSc in Computer Science Professor Charles' research focuses on the intersection of AI, narrative systems, and immersive technologies. His work explores how computational intelligence can enhance virtual environments, particularly through brain-computer interfaces that enable more natural human-virtual agent interactions. Recent projects investigate social anxiety in VR settings, multimodal interaction frameworks, and personalized dialogue systems for virtual characters. His research bridges theoretical AI concepts with practical applications in healthcare, education, and entertainment domains. His most recent publications demonstrate a clear trend toward applying interactive narrative techniques to real-world problems, particularly in mental health assessment (OCD, social anxiety), responsible gambling initiatives, and educational applications. The work increasingly incorporates multimodal input analysis and neurofeedback mechanisms to create more responsive and adaptive virtual experiences. Scientific Awards: Blue Sky Award (ACM Hypertext, 2018) Best Application (International Conference on Automated Planning and Scheduling, 2013) Professor Charles has successfully supervised numerous PhD students working on topics ranging from crowd simulation to narrative generation systems. His research has been supported by substantial grants from Innovate UK, Economic and Social Research Council, AHRC/EPSRC, and the European Commission, including projects on believable agent behavior in VR, responsible online gambling, and machine understanding for interactive storytelling. He maintains active collaborations with researchers across Europe and has contributed significantly to the development of narrative medicine applications.

Sooyeon Leeمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Assistive Technology
• Accessibility Design
• +۵ مورد دیگر

Dr. Sooyeon Lee is an Assistant Professor in the Department of Informatics at the New Jersey Institute of Technology (NJIT). Her research focuses on accessible technologies for people with disabilities, particularly those with visual impairments and deaf or hard-of-hearing (DHH) needs. She designs innovative solutions in areas such as AI-driven navigation systems, multimodal interaction frameworks, and inclusive virtual reality experiences. Her work bridges human-centered design principles with cutting-edge AI and sensor technologies. Dr. Lee holds a Ph.D. and B.S. in Information Sciences and Technology from Pennsylvania State University, with a specialization in Human-Computer Interaction. Her academic contributions span over 30 peer-reviewed publications, including seminal work on NaviGPT, an AI-driven navigation system for visually impaired users, and BubbleCam, a privacy-focused remote assistance tool. Central to her research are collaborations with user communities, including participatory design studies with blind users, DHH viewers, and ASL learners. She explores topics such as non-speech audio captioning trends, spatial audio descriptions for VR performances, and text simplification for DHH adults. Her datasets, such as the ASL-Homework-RGBD dataset, have become benchmark resources for sign language technology research. Dr. Lee’s work addresses emerging challenges in human-AI collaboration for accessibility, ethical AI practices in assistive tech, and the intersection of privacy and remote assistance systems. She actively contributes to advancing accessibility standards in multimedia content, educational tools, and smart environments.

Barry Dauphinمشاهده پروفایل

استاد

• Clinical Psychology
• Psychoanalysis
• Personality Assessment
• +۲ مورد دیگر

Dr. Barry Dauphin is Professor of Psychology and Director of Clinical Training at the University of Detroit Mercy's College of Liberal Arts & Education. He holds a Ph.D. from Syracuse University and completed postdoctoral training at Yale University Medical School. His research integrates clinical psychology with eye-tracking methodologies to study personality assessment, psychopathology, and psychoanalytic theory. Research focuses on: Eye movement correlates of Rorschach test performance Affective neuroscience foundations in psychoanalytic literature Development of assessment tools for personality disorders AI applications in psychological evaluation Publications show consistent focus on refining psychological assessment through biometric measures and psychometric validation. Recent work explores applications of artificial intelligence in clinical psychology. Awards and honors: Fellow of the American Psychological Association (Division 39) Fellow of the American Board and Academy of Psychoanalysis Faculty Achievement Award Multiple Mellon and TUBITAK research grants As Director of Clinical Training, oversees doctoral program development and supervises student research. Maintains clinical practice specializing in child/adolescent therapy and psychological assessment.

• Affective Computing
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Jonny O'Dwyer is a Lecturer in the Department of Accounting and Business Computing at the Faculty of Business and Hospitality. His research focuses on affective computing, leveraging eye tracking, speech, and head cues for continuous emotion prediction. He employs machine learning and computer vision techniques to advance human-computer interaction and emotion recognition systems. O'Dwyer has published four peer-reviewed conference papers, with two in 2017 and two in 2019, exploring multimodal data fusion and real-time affect prediction models. His work emphasizes interdisciplinary approaches, combining artificial intelligence with bioinformatics to address challenges in emotion analysis. Recent studies highlight applications in facial expression analysis, convolutional neural networks, and discrete-time feature extraction. O'Dwyer’s contributions aim to enhance communication environments and human-computer interfaces through multimodal sensing and open-source software integration.

• Interpersonal Communication
• Multimodal Conversation Analysis
• Psychological Reactance
• +۴ مورد دیگر

Dr. Maximilian Krug is a postdoctoral researcher at the Institute of Communication Studies at Universität Duisburg-Essen, affiliated with the professorship for Multimodal Communication, Social Interaction & Technology led by Prof. Dr. Karola Pitsch. His academic journey includes a PhD (2020) on coordination of activities in theater rehearsals and a master's degree in Applied Linguistics from Westfälische Wilhelms-Universität Münster. He has been a research assistant at Duisburg-Essen since 2015 and completed parental leave in 2021. Research focuses on regulatory structures of conflict in interpersonal communication, including resistance in face-to-face interaction and incivility in online contexts. He also explores science communication strategies and media effects. Key projects: DFG-funded research on GDR letters to the editor, analysis of incivility in Telegram groups, and AI's role in science communication funded by the College for Social Sciences. Teaching includes courses on conversation analysis, media effects, and qualitative methods. His work bridges conversation analysis with digital humanities, using eye-tracking and multimodal data. He co-founded the open-access journal fokus:interaktion and serves on ethics committees and examination boards at his faculty.

Erol ÖZÇELİKمشاهده پروفایل

استاد

• Cognitive Psychology
• Educational Technology
• Multimedia Learning
• +۷ مورد دیگر

Prof. Dr. Erol ÖZÇELİK is a Professor of Psychology at Atılım University's Faculty of Arts and Sciences. He holds a Ph.D. in Cognitive Sciences from Middle East Technical University and has been a full-time faculty member since 2009. His academic roles include serving as Bologna Coordinator and Chair of the Fun Science Center Management Board. His research focuses on cognitive psychology, educational technology, and neuroscience applications in learning environments. He has advised over 15 master’s students in topics ranging from emotional arousal effects on memory to surgical simulation training. Education: Ph.D. (2008) in Cognitive Sciences from Middle East Technical University, M.Sc. (2002) in Computer and Instructional Technology Education, B.Sc. (1999) in Computer Science. Research Interests: Cognitive mechanisms of learning and memory Impact of emotional arousal on educational outcomes Human-computer interaction in learning environments Neuroscience-based instructional design Simulation-based surgical education Eye-tracking methodologies for cognitive assessment Grants & Projects: Lead investigator on TÜBİTAK-funded projects including 'Küçük Dahiler Bilgisayar Kullanıyor' (Robotics Education) and 'Endoscopy Training Simulation Validation'. Developed the ECE surgical simulation platform validated through 3 published studies. Awards: Recognized for contributions to educational technology and cognitive research through institutional awards at Atılım University and TÜBA grants. Labs/Teams: Active in the Fun Science Center and Educational Computer-Based Environment (ECE) research group. Collaborates with neuroimaging teams at Hacettepe University and computer science groups at Middle East Technical University.

Michele Morningstarمشاهده پروفایل

استادیار

• Neurocognitive patterns and neural networks
• Neurodevelopment
• Psychology and cognitive sciences
• +۶ مورد دیگر

Michele Morningstar is an Assistant Professor in the Department of Psychology at Queen's University, Faculty of Arts and Science. She serves as Director of the Development of Social and Emotional Communication (DSEC) Lab and holds cross-appointments in the Centre for Neuroscience Studies. Her research examines the biological, cognitive, and social mechanisms underlying emotional communication development from childhood through adolescence. Education: Post-doctoral fellowship in Pediatrics & Neuroscience, Nationwide Children's Hospital & Ohio State University (2020) PhD in Clinical Psychology, McGill University (2017) BA in Psychology, McGill University (2011) Research focuses on neurodevelopment of emotional communication using multimodal methods including functional neuroimaging and vocal analysis. Key interests include: how nonverbal cues (tone of voice, facial expressions) facilitate emotional understanding; neural correlates of social cognition maturation; and relationships between emotional skills, social functioning, and psychological well-being across development. Current projects investigate adolescent neural responses to peer emotions and vocal emotion recognition in clinical populations. Publications show consistent focus on developmental social neuroscience, with recent trends examining: (1) Neural mechanisms of vocal emotion processing in typical and atypical development (2) Social-cognitive changes during adolescence (3) Clinical applications in epilepsy and psychopathology. Work emphasizes multimodal approaches integrating neural, behavioral, and acoustic data. Teaching includes PSYC251: Developmental Psychology. Actively mentors graduate students through the DSEC Lab which employs diverse methodologies to study emotional communication development. Lab research has been funded by Canadian Institutes of Health Research and other national/international agencies.

• Biomedical Signal Processing
• Decision-Making Methodologies
• Frailty Prevention in Elderly
• +۳ مورد دیگر

Aly CHKEIR is an Associate Professor at the University of Technology of Troyes (UTT), holding the 'SilverTech' chair focused on technologies for healthy aging and elderly autonomy support. He earned his PhD in biomedical sciences from the University of Technology of Compiègne (UTC) in 2011, specializing in uterine electrical activity modeling. His research emphasizes biomedical signal processing, decision-making methodologies, and applications in frailty prevention among the elderly. Education: PhD in Biomedical Sciences, UTC, France (2011). Research interests include signal segmentation/classification, biomedical engineering, and solutions for aging populations. Notable projects include the SilverTech chair's holistic approach to aging technologies and the PiCADo initiative for in-home medical monitoring systems. Recent work focuses on AI-driven diagnostics (e.g., MRI segmentation, cough analysis), radar-based mobility assessment, and voice recognition for health monitoring. His contributions span sensor fusion, gait analysis, and non-invasive health tracking tools. His lab collaborations include Doppler radar systems for gait speed measurement, thermal imaging for health indicators, and AI-enhanced geriatric assessment tools. Projects like ARPEGE and PiCADo highlight his commitment to deploying innovative healthcare solutions for aging populations.

• Cognitive Psychology
• Neuroscience
• Artificial Intelligence
• +۴ مورد دیگر

Andrea De Cesarei is a Full Professor at the Department of Psychology 'Renzo Canestrari' at the University of Bologna. His research focuses on cognitive processes, emotional perception, and the intersection of artificial intelligence with human behavior. He holds office hours on Fridays 9-11 AM at the Department of Psychology in Bologna, with virtual availability via Teams. His work spans disciplines including cognitive neuroscience, environmental psychology, and AI ethics. Key research interests include: cognitive control mechanisms during scene categorization, emotional responses to natural stimuli, and behavioral drivers behind sustainable choices. He also explores how humans and AI systems process visual information differently, with recent projects involving AI trustworthiness and autonomous planning systems. Recent publications highlight his contributions to understanding neural correlates of emotion (via ERP and EEG studies), the role of spatial frequencies in perception, and motivational factors in pro-environmental behavior. His lab develops tools like the VISTO device for precise exposure time measurement in experiments. Teaching responsibilities include courses on perception and experimental psychology, with active involvement in student disability research methodologies. He maintains an ORCID profile and is accessible via email for scheduling consultations.

Michael Bixterمشاهده پروفایل

استادیار

• Decision Making
• Cognitive Psychology
• Risk Assessment
• +۴ مورد دیگر

Michael Bixter is an Assistant Professor of Psychology in the College of Humanities and Social Sciences at Montclair State University. He holds a PhD in Cognitive Psychology from Stony Brook University with a graduate certificate in Quantitative Methods, and completed postdoctoral research positions at Georgia Tech and Arizona State University. Dr. Bixter's research focuses on several key areas of cognitive psychology and decision science: Decisions about delayed and risky rewards How decisions are made in small-group situations How decision making and other cognitive processes develop across adulthood His work demonstrates significant contributions to understanding how social contexts influence individual decision processes, particularly regarding risk assessment and temporal discounting. Recent research has examined age-related differences in decision making, the social contagion of intertemporal preferences, and how technology adoption patterns differ among older adults. His methodological approach often combines experimental paradigms with quantitative analysis techniques. Dr. Bixter has received recognition for his scholarly contributions through numerous peer-reviewed publications spanning cognitive psychology, behavioral economics, and human-computer interaction. His research shows consistent focus on decision processes across the lifespan and in social contexts. As an educator, Dr. Bixter teaches statistics courses at both undergraduate and graduate levels, bringing his research expertise into the classroom to provide students with practical applications of statistical methods in psychological research. His office hours are held in Dickson Hall Room 257 or via Zoom, reflecting his commitment to student engagement and accessibility.

John K. Tsotsosمشاهده پروفایل

استاد پژوهشی

• Computer Vision
• Visual Attention
• Active Visual Search
• +۵ مورد دیگر

John K. Tsotsos is a Distinguished Research Professor at York University's Lassonde School of Engineering, holding positions in both the Department of Electrical Engineering & Computer Science and the Centre for Vision Research (CVR). His work bridges computer science, cognitive science, and neuroscience with a focus on visual attention and active vision systems. Dr. Tsotsos's research interests center on visual attention mechanisms, active visual search, and visuospatial reasoning. His work explores how humans and machines process visual information, with applications in autonomous driving, robotics, and human-computer interaction. He investigates the computational principles underlying visual attention, comparing biological systems with artificial implementations. His research has significant implications for developing more human-like computer vision systems that can effectively navigate and interpret complex visual environments. Analysis of his recent publications reveals a strong focus on active vision systems where observers dynamically control their viewpoints during visual search tasks. His work spans both theoretical foundations of visual attention and practical applications in autonomous vehicles. A significant portion of his recent research addresses driver attention modeling, gaze prediction, and the challenges of real-world visual processing where traditional computer vision approaches often fail. His work consistently bridges cognitive theory with practical engineering applications. Dr. Tsotsos has made substantial contributions to the field of computational vision through his theoretical work on attentional mechanisms and their implementation in artificial systems. His research has influenced both academic understanding of visual processing and practical applications in autonomous systems and human-machine interfaces. As a faculty member at York University, Dr. Tsotsos contributes to the vibrant research ecosystem of the Centre for Vision Research, where interdisciplinary teams work on cutting-edge problems in visual perception, cognitive modeling, and machine vision. His work exemplifies the integration of cognitive science principles with advanced computational techniques to solve complex visual processing challenges.