Emeline Sadoulet-Reboul is a Lecturer in Mechanics at the University of Franche-Comté (UFC), section CNU 60, affiliated with the Applied Mechanics department of the FEMTO-ST Institute . Her research focuses on robust design and vibroacoustic control, particularly in metaabsorbers and nonlinear dynamics for intelligent structures. Academic Rank: Lecturer University: University of Franche-Comté (UFC) Department: Applied Mechanics Her work spans passive and active vibration control , including viscoelastic materials, periodic composites, and adaptive piezoelectric systems. She specializes in metaabsorber design , vibroimpact damping , and robust engineering solutions . Recent publications highlight multilayered structure modeling , NVH optimization of electric motors , and Bayesian calibration of viscoelastic properties . Her research integrates computational methods like the irrotational intensity field and digital twin simulations . She supervises academic programs as Master’s Year 2 Coordinator and leads the Structures and Intelligent Systems track. She has participated in 13 thesis supervisions and 18 thesis juries, contributing to committees within FEMTO Institute and UFC governance.
Matthew Albrecht is a Senior Research Fellow at the School of Psychological Science, The University of Western Australia , with affiliations to the Planning and Transport Research Centre . His work spans neuroscience , psychopharmacology , and transportation safety , with a focus on drug effects on cognition , crash analysis , and clinical documentation efficiency . Research Interests: Neuroscience and psychopharmacology of drugs like THC and dexamphetamine Transport safety and road design using statistical models Clinical documentation burden in nursing and midwifery Autism and schizophrenia cognitive models Article Trends: His recent work emphasizes THC's impact on driving safety , amphetamine effects on memory , and transport policy evaluations . Publications include collaborations in public health , clinical research , and computational psychiatry . Grants and Collaborations: Albrecht has contributed to 4 grants , including studies on road safety and healthcare documentation . He collaborates with institutions like Main Roads, WA and Curtin University . Labs and Teams: Affiliated with the Planning and Transport Research Centre , he works with multidisciplinary teams in transport engineering , psychiatric research , and biostatistics .
Vlad Stefan BARBU is an Associate Professor of Mathematics (Statistics) at the Laboratory of Mathematics Raphaël Salem UMR 6085, University of Rouen - Normandy (URN) - CNRS, France. He serves as Director of the Research Federation Normandy-Mathematics, Scientific Secretary of the Romanian Society of Probability and Statistics, and Vice-president of the Romanian Society of Applied and Industrial Mathematics. His research focuses on stochastic processes, particularly semi-Markov models and their applications in reliability, survival analysis, and biostatistics. Education: HDR (Habilitation to Conduct Research) in Statistics (2017) PhD in Statistics (2005) Master in Applied Statistics and Optimization (1997-1998) BA in Mathematics (Bac + 5) (1992-1997) Barbu's research interests center on semi-Markov and Hidden semi-Markov processes, Markov models, statistical inference for stochastic processes, and nonparametric estimation. His work extends to reliability and survival analysis, biostatistics with applications in DNA modeling, entropy and divergence measures, and model selection. He has developed several R packages for semi-Markov modeling, demonstrating his commitment to translating theoretical advances into practical tools for researchers and practitioners. Analysis of his recent publications reveals a consistent focus on advancing semi-Markov theory with applications across diverse domains. His work spans theoretical developments in estimation methods, hypothesis testing, and reliability analysis, while maintaining strong connections to practical applications in reliability engineering, biostatistics, and risk modeling. The interdisciplinary nature of his research is evident in publications spanning statistics journals, mathematics journals, and applied fields. Research Grants: Coordinator of project 'Reliability and Survival Analysis of Multi-State Random Systems' (2024-2025) Team leader for LMRS in ANR project 'Hidden Semi Markov Models: INference, Control and Applications' (2022-2025) Participant in ANR project 'Swimming and Para-swimming: All United for our Champions' (2020-2024) Participant in multiple regional and international research projects Barbu has supervised numerous PhD students and served on doctoral committees in France and abroad. His research leadership extends to coordinating significant research projects and organizing international conferences. He maintains active research collaborations across Europe, with frequent visits to institutions in Greece, Romania, and other countries. His work bridges theoretical statistics with practical applications, particularly in reliability engineering and biostatistics. As Director of the Research Federation Normandy-Mathematics, Barbu leads a substantial mathematical research network. His international engagement is further evidenced by his leadership roles in Romanian statistical societies and his participation in European research networks and projects.
Sylvain Argentieri serves as an Associate Professor at the Institute for Intelligent Systems and Robotics (ISIR) within Sorbonne University, where he has been a member of the ASIMOV research group ("Architectures and Models for Adaptation and Cognition") since 2008. His office is located at ISIR, Campus Pierre et Marie Curie, 4 place Jussieu, BC173, 75005 Paris. He maintains an active research presence with publications spanning from 2006 to 2024. His educational background includes obtaining the highest teaching diploma in France (Agrégation externe) in Electrical Engineering from the École Normale Supérieure in 2002, followed by a Ph.D. in Computer Science from Paul Sabatier University (Toulouse) in 2006, and his Habilitation à Diriger des Recherches (HDR) in 2018. Argentieri's research focuses on artificial perception in robotics with special emphasis on auditory perception, active multimodal perception approaches, and sensorimotor integration. His work demonstrates a consistent trajectory exploring how robots can develop perceptual capabilities through sensorimotor experiences, with particular attention to binaural sound localization, head movement control, and the emergence of spatial representations from uninterpreted sensory signals. His publications reveal a strong interest in how naive agents can structure their understanding of the world through active exploration and sensory prediction. His publication record shows a clear progression from foundational work on sound source localization to more complex investigations of sensorimotor contingencies and embodied cognition. The research spans multiple venues including IEEE conferences, Robotics and Autonomous Systems, and Frontiers journals, with recent work incorporating transformer architectures and neural network approaches to auditory processing. Argentieri maintains active collaborations with researchers including Nicolas Obin, Bruno Gas, and Valentin Marcel, as evidenced by his co-authored publications. His laboratory work takes place within the ASIMOV team at ISIR, which focuses on architectures and models for adaptation and cognition in robotic systems.
Brian DePasquale is an Assistant Professor in the Department of Biomedical Engineering at Boston University. He holds additional affiliations with the Neuroscience & Neuroengineering program as a Primary & Affiliated Faculty member. His research bridges computational neuroscience and machine learning, focusing on understanding neural computations through mathematical modeling of biological systems. Dr. DePasquale received his PhD from Columbia University followed by postdoctoral training at the Princeton Neuroscience Institute. His educational background has positioned him at the intersection of engineering, neuroscience, and computational methods, creating a unique approach to studying neural computation. DePasquale's research employs two complementary approaches: a data-driven method involving collaboration with experimental neuroscientists to develop machine learning models of neural activity, particularly for decision-making and movement behaviors; and a theoretical approach constructing artificial neural network models to understand how structure gives rise to functional features in biological circuits. Recent projects include applying graph neural networks to olfaction research, developing the StateSpaceDynamics.jl package for neuroscience time series analysis, and creating methods for training biophysically detailed spiking neural networks. His publication record reveals a consistent focus on neural dynamics across multiple scales, from single neuron properties to population-level computations underlying decision-making. The work spans theoretical models to practical applications, with growing emphasis on machine learning approaches to analyze complex neural datasets, particularly in understanding evidence accumulation processes and developing more biologically plausible artificial intelligence systems. Among his professional recognitions, DePasquale was awarded the prestigious NSF Graduate Research Fellowship (NSF-GRF). His research is supported by grants enabling his lab to pursue innovative projects at the intersection of neuroscience and machine learning. DePasquale leads the Artificial and Biological Intelligence Laboratory at Boston University, where his team develops open-source computational tools and fosters collaboration between computer scientists, neuroscientists, and engineers. The lab's emphasis on open science is exemplified by publicly available software implementations like StateSpaceDynamics.jl and full-FORCE demos on GitHub.
Mark M. Churchland is a Professor of Neuroscience at Columbia University's Vagelos College of Physicians and Surgeons. He serves as Codirector of the Grossman Center for the Statistics of Mind and Principal Investigator at the Zuckerman Institute, working at the intersection of neuroscience and computational modeling. Research Focus : Churchland investigates how the brain plans, triggers, and executes voluntary movements. His work combines primate neurophysiology with dynamical systems analysis to uncover unified neural mechanisms across different movement types, with applications for Parkinson's disease and neural prosthetics. Scientific Contributions : 2017 BRAIN Initiative Team-Research Circuit Program (U19) for Motor Control Pioneering tensor analysis methods for neural population structure Discovering brain activity compression scales in movement preparation Developing brain-machine interface algorithms from cortical dynamics Recent Publications (2024-2025) reveal his lab's focus on: Neural null-space dynamics in movement Interdisciplinary neurotechnology (DREDge motion correction) Preparation-execution timing mechanisms Motor unit flexibility and variability Cortical prosthetic control improvements
Dr. Verena Seibold is a Researcher in the Department of Psychology at the University of Tübingen, Germany, specializing in Evolutionary Cognition within the Faculty of Mathematics and Natural Sciences. She serves as the Coordinator for the B.Sc./M.Sc. Cognitive Science programs and the Center for Cognitive Science (50%) and as Coordinator for Studies and Teaching (24%) in the Department of Computer Science. Dr. Seibold earned her doctorate (Dr. rer. nat) from the University of Tübingen in February 2015, following her psychology studies (diploma) from 2004 to 2009. Her academic journey also includes studies in art education at the State Academy of Fine Arts Stuttgart (2002-2004) and preparatory studies in Fine Arts at Schwäbisch Hall Academy of Arts (2001-2002). Her primary research focuses on temporal attention and preparation , investigating how warning signals in our environment help us prepare for future events. She examines whether these signals selectively enhance perception and action preparation. Another key area is the mechanisms of attention activation (alerting) , exploring why attention-activating signals magnify conflict effects in cognitive tasks and how they influence visuospatial attention allocation. Using event-related potentials (ERP) , she studies how temporal attention effects manifest in brain activity, and she also researches language processing , particularly how we handle linguistic information without discourse context. Dr. Seibold's recent publications (2022-2024) reveal a strong focus on temporal attention mechanisms, discourse comprehension, and the cortical dynamics of language processing. Her work increasingly integrates electrophysiological methods with cognitive paradigms to understand the neural underpinnings of attention and language. She frequently collaborates with researchers like Bettina Rolke, Susanne Dietrich, and Janina Balke. Her scientific achievements include: 2017 Research grant 'Mechanisms of temporal preparation in the context of stimulus selection' (Duration: 2018-2023) from the German Research Foundation (DFG) 2015 Doctoral Prize of the Faculty of Mathematics and Natural Sciences from the University of Tübingen Dr. Seibold actively contributes to academic service as an elected member of the Faculty Council of the Faculty of Mathematics and Natural Sciences since October 2022, and previously served on the Senate Commission 'Studies and Teaching' (2020-2022) and the Cognitive Science Study Commission (2015-2019). She has been teaching Cognitive Science courses since Winter semester 2010/2011, including seminars on Psychophysiology, Data Analysis in R, and Experimental Cognitive Science. Her research is conducted within the Evolutionary Cognition Research Group under Prof. Dr. Bettina Rolke in the Department of Psychology.
Charles William Wilson is a Clinical Assistant Professor of Occupational Therapy at Midwestern University's College of Health Sciences in Glendale, Arizona. Education: Master of Occupational Therapy (M.O.T.) from Midwestern University (2014) His clinical expertise focuses on improving daily living skills and meaningful activities for clients with neurological injuries or impairments, addressing challenges in motor control, visual processing, cognition, and emotional regulation. He is affiliated with the Midwestern University Therapy Institute and works on the Glendale campus.
Martín Martínez Villar is a Research Fellow at the University of Navarra's Faculty of Education and Psychology (FEP), Department of Psychology, and member of the MIPAC research group (Methods and Research in Affective and Cognitive Psychology). Contact: mmvillar@unav.es. He earned his PhD from the University of Navarra in 2015 with a thesis on Parkinson's disease locomotion analysis under Dr. María Pastor Muñoz. His educational background: PhD in Psychology, University of Navarra (2015). Thesis: 'Locomotion movements in Parkinson's disease: kinematic analysis and functional magnetic resonance imaging'. Martín's research centers on developing methodologies and experimental designs to understand human behavior at affective and cognitive levels . Key areas include educational psychology (teacher efficacy, evidence-based pedagogy), neuroscience (Parkinson's biomarkers via MRI), and mental health (self-care during pandemics). He integrates virtual reality and AI tools for innovative interventions in education and healthcare. His 2023-2025 publications reveal three dominant trends: educational assessment (teacher efficacy, special education quality), neurodegenerative biomarkers (nigrosome-1 imaging), and pandemic mental health (cross-cultural self-care models). Emerging work explores VR applications and AI-driven socioemotional competency evaluation. No scientific awards were documented in the source material. Martín has no listed doctoral advisees. His PORTIONS-4 Pilot Study (2024) indicates involvement in weight management research, though specific grants remain unreported. Collaborative projects span Parkinson's research, educational evaluation, and pandemic response initiatives. He actively contributes to the MIPAC research group, focusing on methodological innovation across cognitive, affective, and educational domains through interdisciplinary projects and European collaborations like the PLEXUS Intensive Course.
Sem Otten is an external researcher affiliated with Université de Montpellier from October 2021 to August 2025. Their work focuses on motor performance, optic flow, and cycling dynamics, with a specialization in analyzing how visual perception and psychological factors influence physical effort. Key Research Areas: Motor Performance, Psychological Momentum, Speed Perception, Optic Flow, Cycling, Analysis of Covariance Recent publications examine gaze direction's impact on cycling effort, optic flow in speed perception, and complexity in motor learning. Otten received the FEPSAC Young Researcher Award: 3rd Prize in 2024 for their groundbreaking studies. Scientific Awards: FEPSAC Young Researcher Award: 3rd Prize (2024) Collaborations include prominent researchers like Den Hartigh, Zaal, Bardy, and Gernigon, with research outputs published in journals such as PLoS ONE and Human Movement Science . Their work bridges cognitive psychology with sports performance metrics.
Dr. Saber Sotoodeh is a Postdoc Researcher in Psychology at the University of Sussex's School of Psychology. He holds a PhD in Motor Behavior from Ferdowsi University of Mashhad and an MSc from the University of Tehran. His research focuses on motor development and learning, particularly in individuals with autism spectrum disorder (ASD), employing behavioral, neurophysiological, and technological approaches. Key research interests include motor skill acquisition in neurodevelopmental disorders, perception of action, and the application of non-invasive brain stimulation (e.g., tACS, tDCS) for improving motor coordination. He has conducted longitudinal studies on early motor development assessment and intervention strategies for ASD, integrating eye-tracking and EEG methodologies. His 16+ publications span topics such as autism motor deficits, neurorehabilitation in aging populations, neuromarketing applications, and yoga interventions for ASD. Notable contributions include developing point-light display models for motor skill teaching and investigating visual attention modulation in ASD using electrophysiological markers. Peer-reviewed for Journal of Autism and Developmental Disorders , Infant Behavior and Development , and others Motor Control course at Sussex His work bridges clinical, developmental, and applied psychology, emphasizing translational research for improving quality of life in neurodiverse populations and aging individuals.
Maria Alessandra Umiltà is an Associate Professor of Physiology at the Department of Food and Pharmaceutical Sciences, University of Parma. She has maintained a dual academic appointment as Adjunct Senior Research Scholar at Columbia University's Department of Art History and Archaeology since 2010. Her academic journey began with a Laurea cum laude in Biological Sciences from the University of Bologna (1996) followed by a PhD in Neuroscience from the University of Parma (2000). She previously held a permanent Researcher position in Physiology at the University of Parma from 2005 to 2015 and completed a Wellcome Trust-funded research fellowship at University College London. Professor Umiltà's research focuses on the cortical motor system's role in higher cognitive functions, voluntary movement inhibition mechanisms, and the neural basis of social cognition. Her work bridges neuroscience with art, aesthetics, and social cognition, examining how sensorimotor processes contribute to emotional recognition, aesthetic experiences, and social understanding. She has made significant contributions to mirror neuron research and embodied cognition theories, with recent work exploring childhood trauma effects, motor inhibition in language processing, and the relationship between bodily movements and cognitive processes. Her publication record spans over two decades, with recent work (2021-2024) demonstrating continued productivity in high-impact journals. These studies explore diverse topics including childhood maltreatment impacts, multisensory integration, aesthetic experiences, and the embodiment of language processing. Her research consistently applies neuroscience methods to understand fundamental cognitive and social processes. National Scientific Qualification as Associate Professor in Physiology (2014) National Scientific Qualification as Full Professor in Physiology (2017) Wellcome Trust Research Fellowship Professor Umiltà has been actively involved in teaching physiology to pharmacy and audiology students since 2006 and has served on the Neuroscience PhD program faculty since 2013. She has participated in major European research projects including NEUROBOTICS and NeuroProbes, with the latter contributing to technological transfer that led to the creation of ATLAS neuro, a company producing neural recording electrodes. Her research demonstrates strong interdisciplinary connections between neuroscience, psychology, art, and clinical applications.
Chris Hodge is a Senior Research Fellow and clinical senior lecturer at the University of Sydney's School of Medical Sciences, affiliated with the Save Sight Institute. He holds roles as lecturer and tutor in the Cataract & Refractive Surgery Diploma and supervises medical students at other universities. His research focuses on corneal diseases, cataract surgery, IOL technology, laser refractive surgery, and concussion-related visual disturbances. He has published over 120 peer-reviewed articles and book chapters, with notable contributions to keratoconus research and corneal bioengineering. Education: PhD in keratoconus epidemiology (Australian population). Research Interests: Cataract surgery innovations, intraocular lens power calculations, laser refractive techniques, corneal disease mechanisms (keratoconus, bioengineering), and concussion's visual impacts. Active in translational research, including biomaterial development for corneal injuries and contamination reduction in tissue banking. Grants & Projects: 2022: Future Vision Foundation grant for using discarded surgical tissue in transparent endothelium fabrication. 2019: NHMRC Ideas Grant for a collagen-based ocular healing material. Labs & Teams: Collaborates with the Save Sight Institute and Vision Eye Institute as clinical research coordinator. Engages in multidisciplinary projects combining surgical innovation and biomaterial science.
Dr. Susan Lord is a researcher at Newcastle University with a focus on gait analysis, Parkinson’s disease, and mobility in aging populations. Her work integrates clinical neuroscience, wearable technology, and environmental factors to understand and mitigate mobility challenges in neurodegenerative conditions and elderly populations. Research interests include gait biomechanics, visuo-cognitive interactions in movement, falls prevention strategies, and the application of wearable sensors for free-living activity monitoring. She collaborates frequently with experts in neurology, gerontology, and clinical engineering. Her studies explore how environmental factors, cognitive load, and disease progression impact mobility, with recent emphasis on Parkinson’s disease gait characteristics, dual-task interference effects, and the development of reliable assessment tools. Notable contributions include the Staying UpRight exercise program evaluation and the iTrack mobile eye-tracking system for Parkinson’s patients. Her work emphasizes translating clinical findings into practical interventions for long-term care settings and community-based rehabilitation.
Aleksandra Badura is an Associate Professor in the Neurosciences department at Erasmus MC. Her research focuses on cerebellar function, neurodevelopmental disorders, and behavioral neuroscience. She investigates topics such as autism spectrum disorders, Purkinje cell physiology, and the interplay between immunology and neurodevelopment. Her work employs both animal models and clinical approaches, with a strong emphasis on understanding neural mechanisms underlying attention, motor control, and comorbidities in immunodeficiency disorders. Key research interests include cerebellar circuitry, behavioral assays in autism models, and the role of Purkinje cells in development. She has supervised 4 graduate students and contributed to peer-reviewed journals like eLife, Current Opinion in Allergy and Clinical Immunology, and Frontiers in Computational Neuroscience. Her studies often integrate experimental and computational methodologies, bridging basic science with clinical implications. Notable recent work includes studies on visual attention mechanisms in primates and the impact of environmental factors on autism-related behavioral phenotypes. Collaborations span immunology, neurobiology, and computational neuroscience, reflecting her interdisciplinary approach.
