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Alexandra ListView profile

Associate Professor

• Cognitive Neuroscience
• Perception
• Attention
• +6 more

Dr. Alexandra List is Associate Professor of Psychology and member of the Neuroscience Program at Hamilton College, where she has taught since 2013. Her research integrates cognitive neuroscience and psychology to explore how humans perceive and attend to visual, auditory, and haptic information. Education: Ph.D. in Psychology (Cognition, Brain and Behavior), University of California, Berkeley B.A. in Cognitive Science, University of California, Berkeley Research Focus: Dr. List investigates how perception and attention are shaped by prior experiences, concurrent inputs, and expectations across sensory modalities. She employs EEG, psychophysics, eye-tracking, and stereoscopic displays to study multisensory interactions, perceptual stability, and attentional control. Representative Publications: Her work has appeared in leading journals such as Brain , Cognition , Journal of Vision , Neuropsychologia , and PLOS ONE . Recent studies use pattern classification of EEG signals to decode perceptual and attentional states and explore cross-modal guidance of attention. Awards & Honors: Hamilton College Class of 1966 Career Development Award (2014) NIH Ruth L. Kirschstein National Research Service Awards – Pre-doctoral (2004–2006) & Post-doctoral (2007–2010) Brain Travel Fellowships (2008, 2009) Veterans Affairs Special Contribution Award (2006) NSF Graduate Research Fellowship Honorable Mention (2001) Advising & Mentorship: Dr. List supervises senior projects (PSYC/NEURO 500/501) and offers research opportunities during the academic year (PSYC/NEURO 198 & 298) and summer (Hamilton Summer Science Research). She has mentored over twenty students on topics ranging from EEG correlates of creativity to multisensory spatial learning. Professional Affiliations: Cognitive Neuroscience Society, Society for Neuroscience, Vision Sciences Society, Psychonomic Society, Sigma Xi, AAUW, Faculty for Undergraduate Neuroscience.

Taotao CaiView profile

Lecturer

• Graph Data Processing
• Social Network Analytics
• Data Mining
• +6 more

Dr. Taotao Cai serves as an Honorary Lecturer and Postdoctoral Research Fellow in the School of Computing at Macquarie University, bringing expertise in graph analytics and machine learning. Previously, they held an Associate Research Fellow position at Deakin University's School of Information Technology. Their academic foundation includes a Ph.D. from Deakin University and a Master's in Computer Science from Shenzhen University, China. Education: Ph.D. in Computer Science, Deakin University, Australia Master of Computer Science, Shenzhen University, P.R. China Research spans graph data processing, social network analytics, and data mining with significant contributions to causal graph neural networks, influence maximization, and privacy-preserving machine learning. Recent work demonstrates strong interdisciplinary applications in remote sensing, healthcare decision systems, and battery management, while maintaining core focus on dynamic network analysis. The research portfolio reveals increasing sophistication in causal reasoning within graph structures and practical implementations for real-world systems. Publication trends from 2023-2025 show concentrated activity in graph neural networks (40%), privacy/security (25%), and remote sensing applications (20%), with emerging work in causal classification and medical AI. This evolution reflects both theoretical advancement and practical problem-solving across diverse domains. No formal scientific awards are documented in available sources. While no formal student advising is recorded, collaborative patterns indicate active mentorship within research teams. Grant activity remains unspecified, but extensive cross-institutional collaborations (particularly with Deakin University and international partners) suggest participation in multiple funded projects. Current trajectories point toward causal graph neural networks for explainable AI and privacy-enhanced federated learning systems as primary research frontiers. Active participation in international research networks is evident through co-authorship spanning Australia, China, and global institutions, with particular strength in graph algorithm development and social network analysis communities.

• Autonomous Driving
• Multi-Object Tracking
• Sensor Calibration
• +3 more

Leah Strand is a Ph.D. candidate and research assistant at the Technical University of Munich (TUM) in the Department of Robotics, Artificial Intelligence and Real-time Systems under Prof. Knoll. She joined TUM in March 2020 and contributes to projects like Providentia++ , which focuses on creating real-time digital twins of traffic on the Autobahn A9. Education: M.Sc. in Mechatronics and Information Technology, B.Sc. in Engineering Science (both from TUM) Research interests include: Autonomous Driving Multi-Object Tracking Sensor Calibration and Fusion Her recent publications emphasize image enhancement , multi-camera calibration , and traffic surveillance datasets . She actively participates in teaching and project advising, with expertise in real-time systems and infrastructure-based perception for autonomous vehicles. Contact: leah.strand@tum.de

• Experimental Psychology
• Psychophysics
• Visual Perception
• +4 more

Chris Paffen is an Associate Professor in the Department of Psychology at Utrecht University's Faculty of Social and Behavioural Sciences. His position combines teaching, research, and management duties within the Experimental Psychology program. He is also associated with the Helmholtz Institute, focusing on experimental approaches to visual perception and cognition. Dr. Paffen received his PhD in 2004 and has since established himself as a prominent researcher in visual perception. His research spans multiple areas of experimental psychology with particular emphasis on visual perception, time perception, consciousness, and psychophysics. His recent work has expanded into human-centered artificial intelligence, examining how cognitive principles can inform AI development. Paffen's extensive publication record demonstrates consistent research productivity, with over 155 research outputs spanning two decades. His work primarily investigates visual working memory, binocular rivalry, attention mechanisms, and the relationship between visual perception and consciousness. Recent publications show increasing focus on memory dynamics, temporal processing, and the neural mechanisms underlying visual awareness. As an educator, Paffen teaches across multiple programs including Applied Cognitive Psychology, Artificial Intelligence, Psychology, and Neuroscience and Cognition at undergraduate, graduate, and post-master levels. His teaching portfolio includes courses such as Cognition and Behavior and Sensation and Perception, reflecting his research expertise. His laboratory work appears to focus on experimental paradigms related to visual perception, with particular attention to binocular rivalry, continuous flash suppression, and visual working memory paradigms. His research often involves collaborations with colleagues at Utrecht University and international institutions, as evidenced by his co-authored publications.

• Animation
• Australian Animation History
• Animation Theory
• +7 more

Lienors Torre is a Senior Lecturer in Film at Deakin University's School of Communication and Creative Arts within the Faculty of Arts and Education. With a career spanning since 2005 at Deakin University and previous experience as an Associate Lecturer at Australian National University from 2001-2003, Dr. Torre has established herself as a significant figure in animation studies and practice. Her work bridges theoretical inquiry with creative production, focusing on the intersections between material objects and digital media. Education Doctor of Philosophy, University of Melbourne Master of Fine Arts, California Institute of the Arts Graduate Certificate of Higher Education, Deakin University Bachelor of Arts, Australian National University Lienors Torre's research centers on animation theory and practice, with particular emphasis on the relationship between material objects and digital media. She explores how objects manifest through animation in various forms of existence and the identities they convey. Her work investigates the nexus between the screen and physical objects - examining the interplay between the ephemeral and material, time-based and stationary aspects, and light, optics and image. Torre has pioneered research into Australian Animation history, conducting interviews with key figures and archival research that culminated in two significant monographs: 'Australian Animation: An International History' (Palgrave, 2018) and 'Grendel Grendel Grendel - Animating Beowulf' (Bloomsbury, 2020). Torre's recent publications demonstrate a clear trajectory from material-based animation explorations toward virtual production and extended reality technologies. Her work consistently examines the relationship between physical objects and digital representations, with increasing focus on virtual production techniques and XR technologies. The thematic thread connecting her publications is the investigation of how objects exist and are experienced in new media forms, and how these forms inform the language of contemporary media practices. Scientific Awards Based on the available information, no specific scientific awards, prizes, or fellowships were mentioned for Dr. Torre. Supervision and Research Funding Dr. Torre actively supervises both Masters and PhD students, with numerous completions including Franziska Wagenfeld (2024), Maria Jones (2024), and Soudhamini Soudhamini (2023). Her current doctoral candidates include Jacinta Short and Silas Ishmael Hickey. Research Grants Tabu: Fijian Kali and Hair Ritual (Australia Council for the Arts, 2018) - $31,911.00 LightTime (Light Pool; Lost Room) (Museum Victoria, 2017) - $14,555.00 Collaborative Networks Dr. Torre maintains active collaborations with various institutions and professionals, as evidenced by her co-authored works and exhibitions. She has worked with Museum Victoria, Brunswick Street Gallery, and international partners in projects like The Why Project Nagoya. Her collaborative approach extends to interdisciplinary work bridging animation with glass art, as seen in her Glassimations exhibition that traveled between Canberra Glassworks and Deakin University Art Gallery.

Kazimierz ChorośView profile

Professor

• digital image and video processing
• content-based video indexing and retrieval
• computer animations
• +4 more

Kazimierz Choroś is a Professor at the Department of Applied Informatics , Faculty of Information and Communication Technology , Wrocław University of Science and Technology. He held leadership roles as Deputy Director of the Institute of Informatics (2008-2014) and Deputy Dean of the Faculty of Computer Science and Management (2016-2020). Research interests: digital image/video processing, content-based video indexing, computer animations, multimedia systems, web systems analysis, and information systems design. Organizer and Chair of the International Conference on Multimedia & Network Information Systems (MISSI 2022) Chair of Special Session WebSys 2020 at ICCCI 2020 Other activities: Since 1993, member and former President (1993-2002) of the SAGE Association (Polish Graduates of French Grandes Ecoles). Since 1982, member of the Polish Numismatic Society, author of dozens of numismatic publications, and Editor-in-Chief of Wrocławskie Zapiski Numizmatyczne (2003-present). Contact: Email: kazimierz.choros@pwr.edu.pl Phone: +48-71.320.3799 Office: Building D2, Room 201/1 Address: Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland

Cemil ÖZView profile

Professor

• Computer Science
• Artificial Intelligence
• Computer Vision
• +9 more

Prof. Cemil ÖZ is a full-time Professor at Sakarya University's Faculty of Computer and Information Sciences, where he has held academic positions since 1998. He leads research in computer vision, artificial intelligence, and medical imaging applications, with ongoing projects in virtual simulation systems and machine learning diagnostics. Education PhD in Electrical and Electronics Engineering, Sakarya University (1995-1998), specializing in neural network-based robotic trajectory control Master's in Electronics and Computer Education, Marmara University (1989-1993), focusing on adaptive robotic control systems Bachelor's in Electronics and Communication Engineering, Yıldız University (1986-1989) Research Focus Prof. ÖZ's interdisciplinary research bridges computer science with healthcare, industrial applications, and security. Primary domains include: Medical AI : Machine learning for neuroimaging diagnostics (e.g., multiple sclerosis differentiation) Virtual Simulation : Industrial and educational systems (welding/driving simulators) Computer Vision : 3D reconstruction, object detection, and facial analysis Applied ML : Hybrid algorithms for predictive modeling in security and social media Publication Trends Recent articles (2019-2024) demonstrate strong emphasis on AI-driven healthcare solutions (38% of works), particularly neurological disorder diagnostics using MRI/spectroscopy data. Virtual training systems constitute 27% of output, focusing on industrial/educational simulations. Remaining publications advance computer vision techniques (3D reconstruction, object detection) and security applications (terrorism prediction, sentiment analysis). Methodologically, deep learning (YOLO, CNN) and sensor integration (Kinect) are predominant.

Bart BoetsView profile

Professor

• Neurodevelopmental Disorders
• Autism Spectrum Disorder
• Oxytocin Therapy
• +3 more

Bart Boets is a Professor at the Faculty of Medicine, KU Leuven , leading the Center for Developmental Psychiatry within the Department of Neuroscience. His research focuses on neurodevelopmental disorders, particularly autism spectrum disorder (ASD), investigating neural mechanisms of social cognition, facial expression processing, and oxytocin-based interventions. He collaborates with institutions like the Leuven Brain Institute (LBI) and Leuven Child & Youth Institute (L-C&Y) . His recent work explores neural sensitivity to faces and voices in preterm children and ASD populations using EEG, eye-tracking, and fMRI. Projects emphasize co-regulation dynamics , biobehavioral synchrony , and stress physiology in family systems. Current studies include oxytocin therapy combined with sensorimotor training for social attunement in autism. Collaborates with Matthijs Moerkerke , Katja Alaerts , and Jean Steyaert Teaches courses like Advances in Neurobiology of Psychiatric Disorders and Hot Topics in Neurobiology of Psychiatric Disorders Involved in clinical trials assessing oxytocin’s effects on neural processing and stress regulation in autistic children His lab integrates multimodal methodologies (EEG, fMRI, eye-tracking) to study self- and co-regulation dynamics in vulnerable populations, with applications in preventive mental health and ecological intervention design .

• Visual Perception
• Sensorimotor Control
• Aging and Cognition
• +3 more

Jutta Billino serves as Associate Professor in the Department of General Psychology at the Faculty of Psychology and Sports Science, Justus Liebig University Giessen, where she has held academic positions since 2008. Her research examines interindividual differences in visual perception and sensorimotor control across the adult lifespan, with particular focus on how sensory, motor, cognitive, and motivational processes interact in healthy aging and neurological conditions. Her academic background includes a Diploma in Psychology from Justus Liebig University Giessen and University of Utah (1992-1998), state certification as Psychological Psychotherapist (1999-2002), Clinical Neuropsychology certification (1999-2005), and PhD (Dr. rer. nat.) from JLU Giessen in 2009. Her doctoral work investigated motion processing pathways in humans under Prof. Karl Gegenfurtner. Professor Billino's research program explores visual perception and sensorimotor control through behavioral experiments with healthy adults and neurological patients. Her work reveals how aging affects visual confidence, tactile suppression during movement, and multisensory integration, demonstrating that cognitive control capacities mediate age-related differences. Current projects examine memory for unexpected objects in real-world scenes and cross-modal metacognition, highlighting preserved abilities in older adults through compensatory mechanisms. Recent publications (2018-2023) show consistent focus on aging and perception, with key contributions in visual confidence mechanisms, sensorimotor predictions, and multisensory integration. Her work spans experimental psychology, cognitive neuroscience, and clinical neuropsychology, frequently employing eye-tracking, behavioral paradigms, and patient studies to uncover lifespan trajectories in perceptual processing. Her scientific recognition includes: DFG Graduate College Fellowship (2004-2008) in 'Neuronal Representation and Action Control' As academic supervisor, she guides PhD candidates in perceptual aging research and secures third-party funding for her laboratory investigations. Her teaching integrates clinical neuropsychology with experimental methods, reflecting her dual expertise in research and clinical practice. She maintains active collaborations across European institutions, particularly in motion perception and aging research networks. Professor Billino leads a research group within the Department of General Psychology focused on visual perception across the lifespan. Her team employs behavioral testing, eye-tracking, and patient studies to investigate how sensory, motor, and cognitive processes interact during aging. Current projects examine confidence calibration in multisensory tasks and neural mechanisms underlying preserved perceptual abilities in older adults, with implications for healthy aging interventions.

Stefan MichelView profile

Lecturer

• Aviation security and human factors
• Human-technology interaction
• Perception and cognition
• +4 more

Dr. Stefan Michel is a Lecturer and Research Associate at the School of Applied Psychology of the University of Applied Sciences Northwestern Switzerland (FHNW), where he has been working since August 2008. He serves as program director for the CAS Master's Thesis and Process Integration since 2016 and is affiliated with the Institute for Humans in Complex Systems (MikS). His educational background includes: Doctorate in Psychology from the University of Zurich under Prof. Dr. Wolfgang Marx Studies in psychology, neuropsychology and psychopathology of childhood and adolescence at the University of Zurich Dr. Michel's research focuses on human-technology interaction in security contexts, particularly aviation security screening. His work examines visual inspection strategies, the role of everyday object knowledge in X-ray screening, automation trust, and performance measurement. He investigates how cognitive processes like perception and attention influence security screening effectiveness, with field studies conducted with airport security personnel. His research bridges cognitive psychology with practical security applications, developing evidence-based approaches to improve threat detection and screening efficiency. His publication record shows a consistent focus on aviation security screening, with recent work (2024) examining night work effects on cognitive performance and ultrasound training methods, while earlier publications (2016-2020) extensively investigated baggage screening procedures, automation effects, and training methodologies. His research demonstrates how human factors principles can be applied to optimize security operations. Dr. Michel teaches across multiple educational levels, supervising bachelor's and master's theses while teaching modules on scientific work, experimental psychology, and socio-technical systems. In continuing education, he leads the CAS Master's Thesis program and teaches general psychology modules for career counseling programs. His teaching emphasizes practical application of psychological principles to real-world problems. His research is conducted through the Institute for Humans in Complex Systems, which examines the challenges and opportunities presented by automation and digitalization in human-technology-organization interactions, with particular focus on security applications.

Mark FryeView profile

Professor

• Neuroethology
• Sensory Neuroscience
• Visual Motion Processing
• +6 more

Mark Frye is a full Professor in the Department of Integrative Biology & Physiology at the University of California, Los Angeles and Director of the interdepartmental Molecular, Cellular & Integrative Physiology (MCIP) Ph.D. program. An elected member of the Brain Research Institute, he explores the neural basis of flexible behavior using Drosophila melanogaster as a model. Education M.S., Neuroscience – Union College, 1992 Ph.D., Zoology – University of Washington, 2000 Research Focus Dr. Frye’s laboratory integrates neurogenetics , in vivo calcium imaging , and closed-loop virtual-reality flight arenas to dissect how visual, olfactory, and mechanosensory signals are fused in the fly brain to generate robust navigation. Key questions include how object-detecting neurons compute figure–ground discriminations, how neuromodulators such as serotonin bias sensory-motor transformations, and how species-specific visual ecologies shape tracking strategies. Parallel to his neuroethology work, Frye co-leads large-scale translational studies on bipolar disorder , lithium pharmacogenomics , and ketamine therapeutics , bridging cellular circuits to clinical outcomes. Publication Trends Recent articles (2020–2024) emphasize inhibitory micro-circuits governing motion vision, comparative visual ecology across Drosophila species, and neuromodulatory re-weighting of sensory pathways. Earlier work established fundamental algorithms for elementary motion detection and multisensory flight control . Scientific Honors & Awards NIH K99/R00 Pathway to Independence Award (mentored to trainee Giovanni) MCIP Best Student Talk Award – Lesly (2023) Advising & Funding Dr. Frye mentors ~8–10 Ph.D. students and post-doctoral fellows at any given time. Current and recent trainees include Jean-Michel Mongeau (now tenure-track at Penn State), Mehmet Keleş , and incoming MCIP student Ava Bignell . Research is supported by multiple active NIH R01 and U01 grants, including consortium projects on bipolar genomics and ketamine biomarkers. Laboratory & Affiliations The Frye Laboratory occupies ~2,000 sq ft on the 2nd floor of the Terasaki Life Sciences Building (TLSB 2014). It houses custom-built magnetic-tether and free-flight arenas, two-photon microscopes, and high-speed videography rigs. Core affiliations include the Brain Research Institute , Neuroscience GPB Home Area , and the BD² Precision Medicine Initiative .

• Missing Data Imputation
• Machine Learning
• Healthcare Informatics
• +3 more

Thu Nguyen is a Research Fellow in the Department of Holistic Systems at Simula Metropolitan, a leading Norwegian research institute specializing in data science and computing. Her work focuses on developing robust methodologies for handling missing data across critical domains including healthcare diagnostics and environmental monitoring systems. Her primary research interests include: Advanced missing data imputation techniques Machine learning explainability under incomplete data Healthcare informatics and medical data analysis Environmental data processing for air quality prediction Multimodal data integration challenges Analysis of her publication record reveals a strong trajectory in developing computationally efficient imputation algorithms with real-world applications. Key trends include the application of principal component analysis and generative models to healthcare datasets (sperm tracking, medical imaging), environmental monitoring (air quality prediction), and multimodal systems. Her work consistently bridges theoretical statistical foundations with practical implementation needs, emphasizing model transparency and performance validation. Dr. Nguyen actively collaborates within Simula Metropolitan's data science ecosystem, contributing to interdisciplinary projects that address fundamental challenges in data completeness and usability across scientific domains.

Jan DrewesView profile

Research Fellow

• Human Perception
• Image Classification
• Object Recognition
• +2 more

Jan Drewes is a current Postdoctoral Research Fellow at the Physics of Psychological Processes Group within the Institute of Physics at Technische Universität Chemnitz , Germany. His work bridges physics and experimental psychology, focusing on visual perception, eye tracking, and natural image statistics. PhD , Justus-Liebig-Universität Giessen (2006), thesis: Classification of Natural Scenes Diploma , Universität zu Lübeck (2003), thesis: Prediction of Saccadic Eye Movements with Dynamic Scenes His research explores how humans process visual information, including topics like object recognition, eye movement dynamics, and the statistical properties of natural scenes. He has developed methods to analyze gaze drift due to pupil dynamics and investigated neural mechanisms in shape and orientation perception. Recent publications (2010–2016) highlight his focus on rapid visual categorization, animal detection in natural scenes, and EEG-oculomotor interactions. Key areas include non-retinotopic perception, recurrent neural processing, and behavioral oscillations during visual tasks. He has collaborated with institutions in Germany, Italy, Canada, France, and China, including York University, Trento University, and CNRS Toulouse, while affiliating with research groups like the Melcher Active Perception Group and Elder Lab.

Karthik DesinghView profile

Assistant Professor

• Robotics
• Computer Vision
• Artificial Intelligence
• +7 more

Karthik Desingh is an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota, College of Science and Engineering. His research focuses on robotics, computer vision, and artificial intelligence, particularly in robot perception, object representation, and manipulation learning. His research interests span robotics , computer vision , machine learning , and human-robot interaction . He investigates how robots can perceive and interact with articulated and multi-object environments using physics-based models, belief propagation, and deep learning techniques. A significant portion of his work emphasizes unsupervised and end-user-directed learning for robot manipulation. The recent publications reveal a strong trend in multi-object representation , visual dynamics modeling , and vision-language integration for robot learning. His work frequently appears in top-tier robotics conferences such as IEEE ICRA and journals like IEEE Transactions on Robotics and IEEE Robotics and Automation Letters. While no formal awards are listed, his contributions to robotics and AI are evident through consistent high-impact publications and active research in perception for general-purpose manipulation. He advises students in robotics and AI, though specific names are not listed. His research is likely supported by academic and federal grants, given the sustained output and publication in peer-reviewed venues. He leads or contributes to a robotics research group focusing on perception and learning for manipulation tasks. The work contributes to UN Sustainable Development Goals through advancements in intelligent systems and automation. His lab or research team engages in interdisciplinary collaboration, particularly in computer vision and robotics, with recent work involving vision-language models and policy learning for assembly tasks.

• Medical Image Analysis
• Computer Vision
• Multimedia Systems
• +6 more

Steven Alexander Hicks is an Associate Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. His research focuses on applying computer vision and machine learning techniques to medical imaging problems, particularly in gastrointestinal endoscopy and reproductive medicine. He is an active contributor to the medical AI community through his involvement in organizing challenges and workshops such as ImageCLEFmedical and MediaEval. Hicks' research interests center on medical image analysis, with particular emphasis on gastrointestinal endoscopy and reproductive health applications. His work spans medical image segmentation, polyp detection, sperm tracking systems, and explainable AI for medical applications. He has developed innovative approaches for medical image analysis including diffusion models for synthetic data generation, visual question answering systems for gastrointestinal tract analysis, and frameworks for evaluating explanation methods in neural networks. His research bridges the gap between computer science and clinical medicine, aiming to develop practical AI tools that can be integrated into medical workflows. Analysis of Hicks' recent publication record reveals a strong focus on medical image analysis challenges, particularly in gastrointestinal endoscopy and reproductive medicine. He has been instrumental in organizing and contributing to the ImageCLEFmedical challenges, which have become important benchmarks in the field. His work shows a progression from basic image analysis techniques to more sophisticated approaches incorporating explainability, multimodal learning, and generative models. The consistent publication output across top venues demonstrates his active role in advancing medical AI research. Hicks has made significant contributions through his leadership in organizing evaluation campaigns and challenges that have shaped research directions in medical image analysis. His work with the MediaEval and ImageCLEF communities has provided valuable benchmarks and datasets for researchers worldwide. He has been involved in several large-scale collaborative projects addressing important problems in medical imaging, including polyp segmentation, instrument detection in endoscopy, and sperm analysis. As part of the broader research ecosystem at Oslo Metropolitan University, Hicks contributes to a vibrant research environment focused on applying computing technologies to healthcare challenges. His work often involves interdisciplinary collaboration between computer scientists, medical professionals, and domain experts to ensure that technical solutions address real clinical needs. His research group appears to focus on developing practical AI solutions that can be translated into clinical practice, with particular attention to validation methodologies and explainability requirements in medical contexts.