Markku Kilpeläinen is a University Lecturer at the Department of Psychology, University of Helsinki, affiliated with the Faculty of Medicine. His work focuses on cognitive psychology, perception, and neuroscience, with particular emphasis on visual system research and human-computer interaction. Dr. Kilpeläinen's research explores: Cognitive abilities and their impact on computer task performance Retinal processing mechanisms in primate and human vision Sound-action and sound-space symbolic associations Comparative studies of human and AI visual recognition capabilities His publications since 2025 demonstrate active engagement in interdisciplinary research spanning psychology, neuroscience, and technology design. Recent work includes studies on parenting interventions in perinatal care and novel methods for XR device legibility testing. In collaborative projects, Dr. Kilpeläinen has contributed to: Human Optimized XR (Multisensory Signals and Meanings) International collaborations with institutions like UC Berkeley Business Finland-funded research initiatives
Dr. Michael Dietz is a Researcher at the Chair of Human-Centered Artificial Intelligence ( University of Augsburg , Faculty of Applied Informatics, Institute of Informatics). His work focuses on Human-Computer Interaction , Mobile Assistive Systems , and Signal Processing with Machine Learning applications. Key research trends include: Development of mobile frameworks for real-time affective feedback (SSJ Framework, SenseEmotion) Augmented reality applications for public spaces and ambient media Privacy-preserving machine learning on mobile devices Physiological signal analysis for stress detection in older adults Eye-tracking innovations for visual search detection Explainable AI techniques in facial expression recognition Projects: EmmA (Emotional mobile Avatar) Glassistant (Smart Glasses for MCI patients) SenseEmotion (Multisensorial emotion recognition) SSJ Framework (Social Signal Processing)
Myriam Servières is a Professor of Computer Science at Centrale Nantes, where she has taught since 2006. She currently serves as Director of AAU-CRENAU and Deputy Director of the AAU Laboratory. Her academic journey includes a PhD in Applied Computer Science from the University of Nantes (2002-2005) and an engineering diploma from École Centrale de Nantes (1999-2002). Her research explores the intersection of digital technology and urban environments, with key interests in: Geolocation : Developing advanced positioning systems for urban navigation Augmented/Virtual Reality : Creating multisensory urban simulations 3D Modeling : Reconstructing and analyzing urban spaces Citizen Sensing : Engaging communities in environmental monitoring Her recent publications demonstrate strong focus on VR-based urban perception analysis, pedestrian navigation systems, and geospatial data processing. Work frequently appears in premier journals like ISPRS and IEEE Transactions . She leads significant initiatives including the IRSTV 'Urban Tomography' research axis and the '3D geospatial data' prospective action. Her teaching spans core computer science courses and specialized programs in digital cities. At AAU-CRENAU, she directs research on computational urban analysis, collaborating across disciplines to develop new methods for understanding and designing urban spaces through digital mediation.
Dr. Ilona Kotlewska is an Assistant Professor at Jagiellonian University in Krakow and maintains a teaching position at SWPS University where she instructs courses on biological bases of behavior. As a neurobiologist and neuropsychologist with a PhD in biological sciences from the Nencki Institute of Experimental Biology of the Polish Academy of Sciences, she bridges experimental biology with psychological research. Her academic journey includes interdisciplinary studies at the University of Warsaw's College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences, followed by research fellowships at the University of Barcelona, Leibniz Institute for Neurobiology in Germany, and Dartmouth College in the United States. Dr. Kotlewska's research focuses on brain processes, particularly the development of self-awareness and attention mechanisms. She specializes in advanced neuroimaging techniques including electroencephalography, magnetic resonance imaging, and functional near-infrared spectroscopy. Her current research at Jagiellonian University investigates attention processes and leads a grant on the neurobiological foundations of ownership. Her work spans cognitive neuroscience, neuropsychology, and social neuroscience, with particular interest in how the brain processes self-referential information, ownership perception, and social stimuli. Her recent publications demonstrate consistent output in brain imaging methodologies and cognitive processes, with a focus on self-awareness development, attention mechanisms, and ownership perception. The research employs multimodal neuroimaging approaches to address fundamental questions about how the brain constructs self-referential processing and responds to external stimuli. Fulbright Junior Research Award (2017-2018) ETIUDA-4 scholarship from the National Science Centre START scholarship from the Foundation for Polish Science Dr. Kotlewska actively supervises research projects and leads her own grant on neurobiological foundations of ownership. Her research program maintains international collaborations stemming from her fellowships at prestigious institutions worldwide. She balances her research with teaching responsibilities at SWPS University and significant science popularization efforts through lectures, radio appearances, and online publications. As a member of the Spokesmen of Science association, Dr. Kotlewska actively participates in science communication initiatives. Her research group likely provides opportunities for students to engage with advanced neuroimaging techniques while exploring fundamental questions about brain function and self-awareness development.
Assoc. Prof. Dr. Hasan Polat serves as Associate Professor at Bingöl University's Technical Sciences Vocational School since 2020, following progression from Instructor (2019-2020) and prior Research Assistant position at Mus Alparslan University (2014-2019). His academic foundation includes PhD and Master's degrees in Electrical and Electronics Engineering from Dicle University, and a Licence from Süleyman Demirel University in Electronics and Communication Engineering. His research expertise spans biomedical signal processing and AI-driven environmental monitoring , with 4 journal publications (2016-2019) and 12 international conference presentations. Key contributions include deep learning frameworks for epilepsy detection from EEG signals and machine learning models for Salmonella prediction in agricultural waters, demonstrating significant interdisciplinary impact. Teaching responsibilities encompass Algorithm and Programming, Digital Electronics, Power Electronics, and circuit analysis courses. His publications reveal a methodological evolution from wavelet transforms and empirical mode decomposition toward advanced convolutional neural networks, with consistent focus on real-world biomedical and environmental applications. No scientific awards are documented in the provided materials. Current research activities appear sustained through academic appointments rather than specified grants, with teaching duties forming a core component of his institutional role. Collaborative work with international researchers like Michelle D. Danyluk indicates global engagement despite the absence of a formally named research laboratory.
Steven Blurton is an Associate Professor in the Department of Psychology at the University of Copenhagen's Faculty of Social Sciences, specializing in cognitive psychology with a focus on mathematical modeling of perceptual and decision processes. His research integrates computational approaches with experimental paradigms to investigate fundamental cognitive mechanisms. Research Interests: Visual perception and attention dynamics Multisensory integration across auditory and visual domains Mathematical modeling of response times and decision-making Theory of Visual Attention (TVA) frameworks Sequential sampling models for cognitive processes His recent publications demonstrate an evolving trajectory from foundational work on Wiener diffusion models (2012) toward increasingly sophisticated integrations of response time modeling with multisensory processing and executive function interventions, with significant contributions appearing in Psychological Review , Journal of Mathematical Psychology , and Vision Research . Current research within the KU 2016 "Dynamical Systems" program focuses on unifying accuracy and response time predictions through sequential sampling models. Key Activities: Principal Investigator in the DFF 8018-00014B project "Foundations of Response Time Measurement" (2019-2020) Active member of the Center for Visual Cognition research group His methodological expertise spans computational modeling, experimental design for perceptual tasks, and advanced statistical analysis of cognitive data, with applications spanning basic research and educational interventions.
José Rouillard is a Lecturer-Researcher in Computer Science (section 27) at Université de Lille, affiliated with the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille) where he works in the Brain-Computer Interface (BCI) research team. His academic position combines teaching responsibilities with active research in human-computer interaction, particularly focusing on novel interface technologies and assistive applications. Dr. Rouillard's primary research interests center around Brain-Computer Interfaces with particular expertise in Steady-State Somatosensory-Evoked Potentials (SSSEP). His work explores multimodal interaction techniques, virtual reality integration with BCI systems, and applications for individuals with motor disabilities such as Duchenne muscular dystrophy. Recent publications (2023-2024) demonstrate continued innovation in BCI technology, including Wizard of Oz studies on user perception, advanced SSSEP recording techniques with cEEGrid systems, and multimodal cobot interaction frameworks using MQTT protocol. His research bridges theoretical neuroscience with practical applications for assistive technologies. As an educator, Dr. Rouillard has created one of the most comprehensive App Inventor 2 teaching resources available, with 76 detailed projects covering the full spectrum of mobile application development. His course materials progress from basic applications to advanced implementations involving Bluetooth communication with Arduino, Firebase database usage, and AI APIs including OpenAI's ChatGPT and DALL-E. His teaching spans multiple academic years, with documented student projects from 2013 through 2023 across various Master's programs including MMD IAE, MIAGE, and e-Services. Supervised PhD thesis: "Hybrid brain-machine interface to overcome disability caused by Duchenne muscular dystrophy" (Alban Dupres, 2016) Supervised PhD thesis: "Filtrage somesthésique pour des interfaces cerveau-ordinateur utilisant des stimulations vibro-tactiles" (Jimmy Petit, 2022) Dr. Rouillard maintains a strong educational presence through his extensive online resources, including YouTube video tutorials, NextCloud file sharing for course materials, and detailed project guides. His student projects demonstrate practical applications of mobile development across diverse domains including health monitoring, gaming, social networking, and educational tools. The breadth of his educational impact is evident in the hundreds of student applications documented from 2013-2023, showcasing his commitment to practical, hands-on learning in computer science education.
