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Johan Lundin KlebergView profile

Associate Professor

• ADHD
• Autism Spectrum Disorder
• Social Anxiety
• +6 more

Johan Lundin Kleberg is an Associate Professor in the Department of Psychology at Stockholm University, where he conducts research in clinical developmental psychology. His work focuses on understanding the mechanisms behind neurodevelopmental conditions including ADHD, autism spectrum disorder, and anxiety disorders, with particular emphasis on visual attention patterns and social cognition in affected individuals. Dr. Kleberg's research interests center on how developmental psychiatric conditions arise and manifest in everyday functioning. His work examines eye-tracking patterns, pupillary responses, and decision-making processes in children and adolescents with conditions such as ADHD and autism. He investigates how these individuals process social information, respond to emotional stimuli, and make decisions in various contexts, seeking to identify underlying cognitive and neural mechanisms that contribute to diagnostic symptoms. His publication record demonstrates consistent research activity examining visual attention deficits in neurodevelopmental disorders. The research shows particular interest in how gaze patterns, particularly toward eyes and faces, differ in individuals with autism and ADHD compared to neurotypical controls. His work also explores reward processing, emotional regulation, and the relationship between physiological responses (like pupil dilation) and clinical symptoms across various developmental disorders. Dr. Kleberg leads the AIDA research project (Attention and decision making children and adolescents with developmental psychiatric conditions), which examines decision-making and attention in children with developmental psychiatric conditions, particularly depression, autism, and ADHD. This project is part of a broader research program investigating altered reward processing across multiple developmental psychiatric disorders.

• Computer Vision
• Machine Learning
• Human Attention Modeling
• +2 more

Minh Hoai Nguyen is a Professor at the School of Computer and Mathematical Sciences and the Australian Institute for Machine Learning (AIML) at the University of Adelaide. Previously, he was a tenured Associate Professor at Stony Brook University (2014-2024) and worked at VinAI Research in Vietnam. He holds a Bachelor of Software Engineering from the University of New South Wales (2006) and a PhD in Robotics from Carnegie Mellon University (2012). His research focuses on computer vision and machine learning, with specialization in human attention modeling, gaze prediction, action recognition, and object counting. Recent work explores applications in educational technology, driver monitoring, and multimodal interaction systems using advanced deep learning approaches. Publication analysis reveals strong emphasis on attention mechanisms across domains, with recent works exploring: (1) Gaze and scanpath prediction using transformer architectures, (2) Few-shot learning for action counting and personalized modeling, (3) Multimodal analysis of cognitive states, and (4) Efficient scene-adaptive vision systems. His research consistently bridges theoretical machine learning with practical applications in human behavior analysis. Scientific Awards: Best Student Paper Award at IEEE CVPR (2012)