Justin Quinn is a Senior Lecturer and Director of the Centre for Engineering and Renewable Energy at Ulster University's School of Computing, Engineering and Intelligent Systems, based at the Derry~Londonderry campus. His work bridges computational intelligence with advanced manufacturing, focusing on defect detection in 3D printing and haptic feedback systems. Current active projects include Hartree Northern Ireland (Principal Investigator, 2023–2026) and Local Industrial Decarbonisation Plan for NI (Co-Investigator, 2024). His research interests span: Smart manufacturing and IoT applications Finite element analysis and defect detection Spiking neural networks for FPGA deployment Visio-tactile sensors in haptic feedback Composite material optimization Recent publications highlight trends in industrial technology, including collaborations with researchers like Coleman, Kerr, and Magee. His scientific awards include the Innovation Voucher (IV1013087) for pressure ulcer prevention innovation. As an educator and researcher, he contributes to Ulster University's leadership in engineering and renewable energy, aligning projects with UN Sustainable Development Goals.
Gudrun Schwarzer is a Professor of Developmental Psychology at the Department of Developmental Psychology, Faculty 06 Psychology and Sports Science, Justus-Liebig-University Giessen, Germany. With a habilitation in Psychology (University of Tübingen, 1999) and a professorship since 2003, her research spans infant cognition, emotional development, language acquisition, and the interplay between motor skills and cognitive abilities. She leads a research team investigating how sensory-motor experiences shape predictive processing and social-emotional development in children. Education: Diploma in Psychology (University of Marburg, 1988), Dr. phil. nat. (University of Frankfurt/Main, 1991) Her research focuses on developmental changes in emotional perception, mental rotation, reinforcement learning, and the impact of music training on executive functions. She examines cross-domain interactions between motor, cognitive, and emotional systems, particularly in infants and preschoolers. Recent publications highlight her work on multimodal emotion processing , perceptual narrowing in speech and face recognition, and the effects of locomotion training on cognitive development. Her studies often employ longitudinal designs and integrate behavioral, neuroimaging, and computational approaches. Scientific Awards: Heinz-Heckhausen-Award (DGPs, 1991), DFG scholarship (1997-1998), Volkswagen Foundation funding (1988-1991) She has led an Independent Research Group at the Max Planck Society and maintains ongoing collaborations in developmental neuroscience. Her lab at Giessen University investigates sensorimotor integration, early language-emotion interactions, and interventions for developmental disorders.
Vincent Breton-Provencher is an Assistant Professor in the Department of Psychiatry and Neuroscience at Laval University, where his research centers on the neuronal correlates of learning and attention with emphasis on catecholaminergic systems. His educational background includes: Undergraduate: Engineering Physics (optics and photonics) PhD: Université Laval (adult neurogenesis under Dr. Armen Saghatelyan) Postdoctoral training: Massachusetts Institute of Technology (noradrenergic circuits under Dr. Mriganka Sur) Dr. Breton-Provencher employs optogenetics , two-photon functional imaging , electrophysiology , and computational approaches to dissect spatiotemporal dynamics of neuromodulators during behavior. His work investigates how catecholamines (noradrenaline and dopamine) regulate cortical processing during learning and how their dysfunction contributes to neuropsychiatric disorders, with key contributions in reinforcement learning and arousal control mechanisms. Analysis of his 2018-2025 publications reveals a dominant focus on noradrenergic signaling in learned behavior, with increasing exploration of astrocyte interactions and cross-species neural circuit comparisons. His research consistently bridges molecular techniques with behavioral paradigms to establish causal links between neuromodulator dynamics and cognitive functions. No scientific awards are mentioned in the provided information. Dr. Breton-Provencher actively recruits students for his VBP Lab (vbplab.com) at the CERVO research center, emphasizing hands-on training in advanced neuroscience methodologies. While specific grants are not detailed, his work leverages institutional resources from Laval University and likely receives support from Canadian neuroscience funding bodies. The VBP Lab operates within Quebec City's CERVO research ecosystem, collaborating with interdisciplinary teams to translate mechanistic insights about catecholamine function into understanding neuropsychiatric disorders. Current projects integrate circuit-level manipulations with behavioral analytics to develop novel therapeutic frameworks.
Danion Frédéric is a CNRS Researcher at the Center for Research on Cognition and Learning (CeRCA), affiliated with the University of Poitiers and operating under the Maison des Sciences de l'Homme et de la Société (MSHS) framework. His work focuses on sensorimotor interactions and communication within the CeRCA laboratory in Poitiers, France. His research centers on motor control mechanisms, specifically examining learning and adaptation in eye-hand coordination during pursuit and pointing movements. Key interests include anticipatory behaviors, directional asymmetries in tracking, and bimanual coordination. Future work will extend to handwriting analysis, building on his expertise in sensorimotor integration. Collaborators include Pierre-Michel Bernier (Sherbrooke University), Aymar de Rugy (University of Bordeaux), and Fabrice Sarlegna (University of Aix-Marseille). Recent publications (2017-2021) reveal consistent themes in neural and behavioral mechanisms of eye-hand coordination, utilizing TMS, kinematic analysis, and behavioral paradigms. His work bridges neuroscience, psychology, and biomechanics, with emphasis on spatial coordination, motor prediction, and cortical contributions to sensorimotor control. Experimental work leverages CeRCA's specialized platforms including the PLAViMoP (Point Light Action Visualization and Modification Platform) and Self Analysis Video (SAV) systems for motion capture and analysis.
Dr. David Burke is a distinguished Professor at the University of New South Wales, Faculty of Medicine, School of Clinical Sciences. With a research career spanning nearly five decades since his first publication in 1976, he has established himself as a leading authority in clinical neurophysiology, specializing in motor neuron diseases and peripheral nerve function. His research interests center on neurophysiology, with particular expertise in amyotrophic lateral sclerosis (ALS), nerve excitability, muscle spindle physiology, and neurodiagnostics. Recent work shows an expansion into machine learning applications for neurological diagnostics, particularly in differentiating stroke from vestibular disorders and analyzing vertigo causes. His research methodology combines traditional neurophysiological techniques with modern computational approaches. Analysis of his recent publications reveals a strong focus on ALS diagnostics and progression, nerve excitability studies, and the application of machine learning to neurological diagnostics. His work bridges fundamental neurophysiology with clinical applications, particularly in developing more precise diagnostic criteria for motor neuron diseases. The interdisciplinary nature of his recent work demonstrates increasing collaboration with computational scientists. Professor Burke has made significant contributions to the field through numerous book chapters in Elsevier's Handbook of Clinical Neurophysiology series, covering topics from MEP recordings to peripheral nerve disease assessment. His work on the human muscle spindle and fusimotor control remains influential in the field. His research has involved extensive collaboration with leading neurophysiologists worldwide, including MC Kiernan, SC Gandevia, and H Bostock. Current work shows increasing collaboration with computational researchers as he applies machine learning to traditional neurophysiological problems.
Christopher Rhea serves as the Associate Dean for Research & Innovation at the Ellmer College of Health Sciences , Old Dominion University (ODU), while maintaining an active research program as a Professor in the School of Rehabilitation Sciences . Prior to joining ODU in 2022, he was a faculty member at the University of North Carolina at Greensboro from 2011–2022, ascending from Assistant to Full Professor. His work integrates advanced technologies like virtual reality (VR) and smartphone apps to address health challenges including concussion recovery, fall prevention in older adults, and military rehabilitation. Ph.D., Kinesiology (Biomechanics), Purdue University (2009) M.S., Movement Science, Barry University (2004) B.S., Physical Education, University of Central Missouri (2002) Research Interests Dr. Rhea’s research bridges neuromotor control and advanced technology to enhance human health. His funded projects explore: VR-based fall risk assessment for older adults mTBI screening using smartphone apps Blast exposure effects on service members Gender-specific neuroimaging studies Childhood movement quality interventions Publication Trends His recent articles emphasize VR applications in rehabilitation, smartphone diagnostics for concussions, and dynamical systems theory to analyze brain-body interactions. Subfields include postural control development , movement asymmetries in neurological populations, and sensorimotor adaptations in chronic injury scenarios. Grants His work has been supported by federal agencies ( DoD, NIH, US Navy, HRSA ) and private entities like the Women’s Football Foundation. Notable projects include a $958,937 DoD grant for longitudinal neuromotor control studies and a $1,246,118 NIH grant for balance research.
Joshua Barrios, PhD , is an Assistant Professor at the University of California, San Francisco (UCSF) School of Medicine . His research bridges systems neuroscience and machine learning to develop AI-driven clinical tools for disease detection and prevention. Education: Ph.D. in Neuroscience from the University of Utah (2019). Research Themes: Dopaminergic sensorimotor behavior, deep learning for ECG/echocardiogram analysis, clinical automation, and disease mechanism elucidation. Dr. Barrios focuses on automating clinical diagnostics through AI systems that detect conditions like mitral valve prolapse, hypertrophic cardiomyopathy, and pulmonary hypertension. His work emphasizes improving healthcare sensitivity and preventative care efficacy by leveraging complex data modalities (ECGs, MRIs, clinical datasets). He collaborates closely with the Tison Lab , mentoring medical students, residents, fellows, and PhD candidates in innovative research projects. His publications highlight applications of convolutional neural networks , video-based AI , and transfer learning in cardiology.
Professor Michael Brecht holds a faculty position at the Institute of Biology, Humboldt University Berlin , where he leads research on cellular mechanisms in sensorimotor integration using rodents and elephants as model systems. His work combines in vivo whole-cell recordings , neuroanatomical reconstructions , and behavioral analyses to study active touch , social behavior , and structure-function relationships in the brain. Education & Career : Diploma in Biology, University of Tuebingen PhD with Wolf Singer, Max Planck Institute for Brain Research Postdoc with Bert Sakmann, Max Planck Institute for Medical Research Assistant Professor at Erasmus University Rotterdam (2005-2009) Full Professor at Humboldt University Berlin (2009-present) Research Interests : Brecht's lab focuses on sensorimotor processing , neural coding of tactile perception , and evolutionary neuroanatomy . Key projects include: Structure-Function Relationships : Studying how brain architecture enables tactile object recognition and motor control Elephant Trunk Neurobiology : Mapping the neural basis of trunk motor control and sensory specialization NeuroCure Initiative : Bridging basic and clinical neuroscience for memory consolidation research DFG SFB 1315 : Comparative memory consolidation mechanisms across species Scientific Contributions : Recent publications highlight his work on elephant brain evolution , whisker-based wind sensing , and social play neurochemistry . His lab developed DiL-CT for bimodal neural tracing and pioneered whole-cell recordings in freely moving animals . Awards & Funding : ERC Synergy Grant (2019-2026) DFG Clusters of Excellence (NeuroCure) SFB 1315 (2022-2026) Collaborations : Works with the Leibniz Institute for Zoo and Wildlife Research, Berlin Zoo, and international consortia on comparative neuroanatomy and translational neuroscience .
Dirk Wollherr is a Senior Researcher and Lecturer (Privatdozent) at the Institute of Automatic Control Engineering, Faculty of Electrical Engineering and Information Technology, Technical University of Munich (TUM). He received his Dipl.-Ing. (2000), Dr.-Ing. (2005), and Habilitation (2013) from TUM. His career includes research at TU Berlin and a JSPS Fellowship at the University of Tokyo. He led the Cluster of Excellence 'Cognition for Technical Systems' (2006-2008) and is a TUM Carl-von-Linde Junior Fellow (2010-2013). Research Interests: Autonomous mobile robots, human-robot interaction, SLAM, real-time trajectory planning, stochastic model predictive control, and robotic manipulation under uncertainty. His work bridges control theory and practical applications in urban robotics, agriculture automation, and autonomous vehicles. Publication Trends: Recent articles (2021-2025) focus on robust control under uncertainty, human-robot collaboration, agricultural automation, and probabilistic motion planning. Key themes include constraint violation minimization, data-driven control, and ethical human-robot interaction. Awards & Recognition: Japanese Society for the Promotion of Science (JSPS) Research Fellowship (2004) TUM Carl-von-Linde Junior Fellowship (2010-2013) Projects & Leadership: Principal investigator in EU projects (Robot@CWE, IURO), General Chair of Robotik 2008, and Co-Chair of ARSO 2013. Leads research on the Autonomous City Explorer and human-robot interaction frameworks.
Associate Professor Julia Treleaven is a Clinical Associate Professor at the School of Health and Rehabilitation Sciences within the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. She is also an Affiliate of the Centre for Innovation in Pain and Health Research (CIPHeR). With over two decades of dedicated research in cervical spine disorders, she has established herself as a leading international expert in whiplash, neck pain, and related conditions. Dr. Treleaven earned both her Bachelor of Physiotherapy and Doctor of Philosophy from the University of Queensland, with her doctoral research in 2004 focusing on the neck's influence on sensorimotor control. This foundational work has guided her extensive research program examining the cervical spine's role in producing symptoms beyond pain. As co-leader of the Neck and Head Research Unit (NAHRU), formerly known as the Cervical Spine and Whiplash Research Unit, Dr. Treleaven directs research exploring how the cervical spine contributes to dizziness, visual disturbances, and effects on head and eye movement control and postural stability. Her work has expanded to include headache disorders, temporomandibular disorders (TMD), and concussion. She is particularly focused on developing clinical tests for differential diagnosis to identify when the cervical spine is implicated in various symptoms. Analysis of Dr. Treleaven's recent publications (2024-2025) reveals a strong emphasis on clinical applications, with significant attention to systematic reviews, meta-analyses, and safety considerations in cervical spine management. Her research increasingly addresses the relationship between cervical impairments and conditions like headache, dizziness, and TMD, with a growing focus on evidence-based clinical assessment tools. Keynote and invited presentations internationally across multiple continents Convening 3 focused symposiums for the International Federation of Orthopaedic Manipulative Therapists Authorship of influential texts including "Management of Neck Pain Disorders: a research informed approach" (Elsevier, 2018) with approximately 6,000 sales and translations into 4 languages Invitations to present professional development courses globally As an active supervisor, Dr. Treleaven mentors multiple PhD and Master's students across diverse topics including cervical spine-related dizziness, upper cervical hypermobility, TMD management, and headache disorders. She currently leads significant research projects including SPINEPASS (2024-2028) investigating self-management techniques for persistent headache after concussion, and a project implementing integrated psychological and physical care for Australians after road traffic injury (2023-2027). Dr. Treleaven runs the laboratory for the Neck and Head Research Unit, ensuring proper training of personnel and adherence to risk assessments. Her work effectively bridges clinical practice and research, with direct applications to patient care in areas like whiplash, cervicogenic dizziness, and post-concussion syndrome, while maintaining an active clinical role as a part-time physiotherapist.
Professor Timothy Carroll serves as Professor and Deputy Head of School at the School of Human Movement and Nutrition Sciences at the University of Queensland. He also holds the position of Centre Director of the Centre for Sensorimotor Performance. His academic career spans over two decades with significant contributions to integrative human physiology, exercise science, and neuroscience. Dr. Carroll completed his doctorate in Neuroscience at the University of Queensland in 2001. He was awarded an Isaac Walton Killam Memorial Scholarship for postdoctoral studies at the University of Alberta in 2002, followed by a Lecturer position in Human Motor Control at the University of New South Wales in 2003. He joined the University of Queensland as a Senior Lecturer in July 2007, eventually advancing to his current professorial role. Professor Carroll's research focuses on how the central nervous system reorganizes through motor learning and exercise. His work integrates exercise science and neuroscience with emphasis on strength training mechanisms. He employs advanced neurophysiological techniques including Transcranial Magnetic Stimulation (TMS), peripheral nerve stimulation, and electromyography (EMG) in human subject research. The ultimate goal of his work is to develop evidence-based exercise protocols that optimize rehabilitation and injury prevention outcomes. His publication record demonstrates sustained investigation into sensorimotor adaptation, neural plasticity, and exercise physiology. Recent work has expanded into computational modeling of human movement, particularly in cycling biomechanics and musculoskeletal simulations, while maintaining strong connections to fundamental neuroscience questions about motor learning and performance. Isaac Walton Killam Memorial Scholarship Professor Carroll has secured continuous funding from the Australian Research Council since 2004, with current projects including "Subcortical control of human reaching?" (2024-2027) and "A new perspective on how we learn motor skills: two adaptation classes?" (2023-2026). His research program demonstrates sustained excellence and relevance across multiple funding cycles. As Centre Director of the Centre for Sensorimotor Performance, Professor Carroll leads a multidisciplinary team investigating neural control of human movement. His laboratory combines traditional neurophysiological approaches with computational modeling to address complex questions about motor learning, adaptation, and performance optimization in both healthy and clinical populations.
Helmut Glünder is a Professor at the Technical University of Darmstadt specializing in Information Processing in Neural Systems . He is also an Associate Member of the Munich Center for Neurosciences (MCN). His research integrates computational neuroscience, neurophilosophy, and signal/image processing, focusing on invariant pattern analysis, motion analysis, and sensorimotor systems. Computational Neuroscience Neurophilosophy Signal & Image Processing Biological Cybernetics Mathematical Systems Theory Sensorimotor Systems His work explores neural systems through mathematical and computational models, particularly in visual motion analysis and pattern recognition. He has investigated pulse-coupled neurons, synaptic delay learning, and local lateral inhibition mechanisms, contributing to understanding neural synchronization and sensorimotor integration. Selected publications demonstrate a trajectory from optical neuroscience toward computational models of neural dynamics, blending biological cybernetics with mathematical systems theory. These works emphasize invariant pattern analysis, velocity estimation, and the interplay between neural architecture and functional performance. As an Associate Member of the MCN, he collaborates on interdisciplinary neuroscientific research while maintaining his academic position at TU Darmstadt.
Joana Cholin is a Professor of Psycholinguistics at Bielefeld University's Faculty of Linguistics and Literature since 2022. Her research focuses on speech production , stuttering mechanisms , linguistic creativity , and bilingual aphasia . Education : PhD in Linguistics (2004, Radboud University Nijmegen); MA in General Linguistics (1999, Heinrich Heine University Düsseldorf) Her research explores self-monitoring processes in neurotypical and impaired speakers, phonetic-phonological encoding in stuttering, and multimodal creativity in speech-gesture production. Recent projects include CRC1646 subprojects on phonetic innovations and word formation. Key publications analyze syllable frequency effects in English and German, motor learning in stuttering adults , and morpho-phonological interfaces . Articles appear in journals like Cognition , Brain and Language , and Frontiers in Psychology . Scientific Awards : Marie-Curie Research Fellowship (2007-2009), NIH Postdoctoral Fellowship (2005-2007) Current Roles : Project lead in CRC1646 subprojects A02, C01, and C02 Collaborations span institutions including Université catholique de Louvain , Ruhr-University Bochum , and Johns Hopkins University .
Farzeen Munir is a Postdoctoral Researcher at Aalto University's Department of Electrical Engineering and Automation, affiliated with the Mobile Robotics research group. Their work bridges robotics, computer vision, and biomedical signal processing. University: Aalto University Department: Department of Electrical Engineering and Automation Role: Researcher Email: farzeen.munir@aalto.fi Research Interests: Focus on robotics, autonomous driving, and machine learning. Key areas include: Pedestrian intent and trajectory prediction Multimodal sensor fusion (LiDAR, radar, thermal imaging) Deep learning for vehicle control and perception Domain adaptation in vision transformers Biomedical applications of evolutionary-neural systems Publication Trends: Recent work emphasizes context-aware models for autonomous driving, thermal imaging in low-light environments, and hybrid neural architectures combining attention mechanisms with domain adaptation. Collaboration spans AI, robotics, and biomedical engineering. Research Groups: Active in Aalto University's Mobile Robotics group, focusing on perception-action loops and real-world system validation.
Yves Boubenec is an Associate Professor (maître de conférences) in neuroscience at the École Normale Supérieure (ENS) in Paris, where he is affiliated with the Department of Cognitive Studies and the Perceptual Systems Laboratory. His research focuses on the neural basis of auditory cognition, particularly how attention, learning, and memory interact with auditory processing at the cortical level. He teaches neurophysiology of auditory perception at ENS through the IMaLiS and Cogmaster programs. His research spans three main conceptual angles: Attention , examining how top-down attention modulates auditory processing; Learning , studying how exposure to natural sounds shapes auditory perception across multiple time scales; and Memory , investigating how exposure to sounds leaves long-term traces in auditory cortex. He employs mesoscopic-scale neural recording techniques including electrophysiological recordings of neuronal populations and large-scale functional UltraSound (fUS) neuroimaging. Boubenec's recent publications (2023-2024) reveal a strong focus on speech processing, task engagement effects on auditory cortex, evidence integration across sensory modalities, and the neural mechanisms underlying categorical perception. His work frequently involves cross-species comparisons (particularly using ferrets) and combines experimental approaches with theoretical modeling. His laboratory offers multiple internship opportunities for students at various levels (L3, M1, M2, DENS) focusing on hemogenetic imaging, cross-species comparison of rhythm perception, and learning dynamics in biological and artificial networks. Boubenec collaborates extensively with researchers including Shihab Shamma, Srdjan Ostojic, and various interdisciplinary teams across neuroscience, acoustics, and computational modeling fields. His work bridges fundamental neuroscience with applications in speech processing and artificial intelligence.
