جست‌وجوی استاد و پژوهشگر

Michael Jenkinمشاهده پروفایل

استاد

• Mobile Robotics
• Computer Vision
• Immersive Displays
• +۳ مورد دیگر

Michael Jenkin is a Professor of Computer Science and Engineering at York University's Lassonde School of Engineering, affiliated with the Centre for Vision Research. His research focuses on visually guided robotics, immersive displays, and human-machine interaction. He has contributed over 150 publications and co-authored seminal works in mobile robotics and human/machine vision. Current projects include the amphibious AQUA robot collaboration with Dalhousie/McGill, crime scene investigation tools, and microgravity perception studies. His work bridges robotics, computer vision, and neuroscience with applications in healthcare robotics, virtual reality therapy, and environmental monitoring. Research emphasizes multimodal sensing (visual-tactile integration), autonomous navigation systems, and energy-efficient communication networks. He leads development of haptic interfaces for medical training, robotic teleoperation systems, and perception models for challenging environments like underwater/microgravity conditions. Notable contributions include the Ansel photobot, visuotactile sensor frameworks, and reinforcement learning approaches for network optimization. His lab explores both theoretical advancements and practical implementations across robotics, VR/AR, and biomedical engineering domains.

Yan Tongمشاهده پروفایل

استاد

• Computer Vision
• Human-Computer Interaction
• Affective Computing
• +۳ مورد دیگر

Yan Tong is Thomas E. Hattrick Chair Professor in Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. Her research focuses on computer vision, pattern recognition, and human-computer interaction, with applications in affective computing, healthcare, and multi-robot systems. Her research integrates computer vision with machine learning to solve problems in human behavior analysis and robotic perception. Key areas include facial action recognition, eye gaze tracking, and probabilistic graphical models for uncertainty management. Recent work extends to gait analysis systems combining wearable sensors and robotics for clinical applications. Tong's publication trends show strong integration of deep learning with robotics, particularly in navigation systems, human-robot interaction, and biomedical engineering. Her research consistently bridges theoretical machine learning with practical applications in healthcare and assistive technologies. She leads a substantial research group with 11 current PhD students and has graduated 6 PhDs. Professional service includes editorship of IEEE Robotics and Automation Magazine and leadership roles in major conferences including ICRA and IROS.

• Human Neuroimaging
• Parkinson's Disease
• Magnetoencephalography
• +۳ مورد دیگر

Professor Stephen Hall serves as Director of the Brain Research and Imaging Centre (BRIC) and Professor in Human Neuroimaging at the University of Plymouth's School of Psychology. His research employs advanced neuroimaging techniques including magnetoencephalography (MEG), functional MRI, and EEG to investigate neural mechanisms in Parkinson's disease, anxiety disorders, and neuroplasticity. Research focuses include motor cortical oscillations, neurochemical modulation in Parkinson's disease, anxiety networks, and pain processing mechanisms. His laboratory develops novel neurofeedback interventions for movement disorders and investigates functional connectivity changes in clinical populations. Current projects examine CO2-induced anxiety networks, sleep-cognition relationships, and ultrasound-mediated neuromodulation. Professor Hall maintains extensive publications on neural oscillations, GABAergic modulation, and neuroimaging methodologies. He directs multidisciplinary research at BRIC and supervises doctoral research in clinical neuroscience and neuroimaging.

Mark Andrewsمشاهده پروفایل

دانشیار

• Statistical Methods
• Computational Cognitive Science
• Neuroscience
• +۳ مورد دیگر

Dr. Mark Andrews is an Associate Professor of Statistical Methods in the Department of Psychology at Nottingham Trent University (NTU). He specializes in teaching advanced statistical techniques, data science, and machine learning using R and Python. As course leader for the MSc in Behavioural Data Science, he designs and leads programs integrating computational methods with psychological research. His academic background includes a PhD and MSc in Cognitive Science from Cornell University, followed by postdoctoral research at University College London's Gatsby Computational Neuroscience Unit and the Division of Psychology and Language Sciences. Research interests focus on statistical methodologies in social and behavioral sciences, computational cognitive science, and neuroscience. He advocates for rigorous research practices, emphasizing Bayesian methods and reproducibility. Professional roles include Chair of the British Psychological Society's Mathematical, Statistical, and Computing Psychology section, and membership in the Royal Statistical Society's teaching committee. Collaborations span institutions like the University of Leeds and Trinity College Dublin, advancing interdisciplinary approaches to data analysis and cognitive modeling. Education: PhD and MSc in Cognitive Science, Cornell University Postdoctoral Fellowships at University College London Publications span statistical theory, cognitive science, and applied methodologies, with notable contributions to Bayesian models of memory, semantic representation, and the replication crisis in psychology. His work bridges theoretical frameworks with practical applications, influencing both academic research and industry data practices.

Mina Nouredaneshمشاهده پروفایل

استادیار

• Aging and complex age-related conditions
• Artificial Intelligence for Health
• Wearable Technologies
• +۴ مورد دیگر

Mina Nouredanesh is an Assistant Professor in the Department of Community Health Sciences at the Max Rady College of Medicine, University of Manitoba. She holds a Canada Research Chair (Tier II) in AI for Complex Health Data. Her research focuses on leveraging artificial intelligence and wearable technologies to address complex age-related conditions like Parkinson's disease, dementia, and fall risks in older adults. Dr. Nouredanesh completed a postdoctoral fellowship at McMaster University's School of Rehabilitation Science, followed by a PhD and MASc in Mechanical and Mechatronics Engineering from the University of Waterloo. She also holds a BSc in Electrical Engineering from Amirkabir University of Technology. Her research program has two main themes: predicting complex age-related conditions using multimodal health data and developing personalized technologies for their management. She has published in leading journals and presented at top-tier conferences, collaborating with researchers globally. Awards include grants from AGE-WELL, Vector Institute, and the McMaster Institute for Research on Aging. Dr. Nouredanesh is actively involved in training graduate students (Master's, PhD) and postdoctoral researchers. Her work spans AI applications in rehabilitation, medical imaging, and robotics, with a focus on translational research to improve quality of life for older adults and caregivers.

• Biomechanics
• Musculoskeletal Modeling
• Ergonomics
• +۳ مورد دیگر

Rachel Jones is a Lecturer in the Department of Biomedical Engineering at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. She holds a PhD (2022) in Biomedical Engineering from The University of Texas at Dallas and a BS (2017) in Biomedical Engineering from Wichita State University. Her research focuses on biomechanics, including musculoskeletal modeling, ergonomics, and rehabilitation. Notable projects involve analyzing firefighter kinematics with SCBA weights, predicting sit-to-stand motions with exoskeletons, and studying balance strategies in elderly populations. Previously, Dr. Jones served as an Adjunct Faculty at NJIT's Newark College of Engineering (2023–2024) and conducted postdoctoral research there. She currently teaches courses like Engineering Physiology and associated labs.

• Amblyopia
• Vision Science
• Sports Vision
• +۱ مورد دیگر

Brendan Barrett is Professor of Visual Development in the School of Optometry & Vision Science at the University of Bradford. He holds a BSc in Optometry from Dublin Institute of Technology (1989), PhD in Medicine from University College Dublin (1994), and BSc in Psychology from Open University (2010). His research program investigates: Amblyopia pathophysiology and treatment optimization Vision-sensorimotor integration in sports performance Visual determinants of reading difficulties Adaptive gait control under visual constraints Barrett leads BBSRC-funded projects on vision in elite athletes and NHS collaborations on childhood vision screening. His recent publications examine sensorimotor adaptation, visual impairment classification in para sports, and methodological innovations in vision science. He directs the Visual Development Laboratory investigating visual-cognitive interactions and leads clinical research initiatives on pediatric vision disorders. His research team develops novel assessment protocols bridging clinical optometry and performance science.

• Artificial Intelligence
• Neuroscience
• Cognitive Architecture
• +۳ مورد دیگر

Prof Chris Huyck is a Professor of Artificial Intelligence at Middlesex University's Faculty of Science and Technology, Department of Computer Science, with 25 years of academic experience. His career spans institutions including the University of Sheffield, Microsoft, and the American University in Cairo, culminating in a PhD from the University of Michigan (1994). Dr. Huyck's research focuses on Cell Assemblies (CAs) grounded in mammalian neural circuitry, extending to cognitive architectures , neuromorphic hardware , and NLP applications . Key projects include modeling associative memory , category learning , and robotic control systems using spiking neural networks. Recent Publications : 2025 firefly algorithm tuning studies; 2024 emotion-integrated cognitive models; 2023 UAV path planning with coronavirus-inspired optimization Awards : No specific honors mentioned Students : Supervising Geethu Joy (PhD Enrolled, 2022-) and Babak Mohajer Ashjaei (PhD Enrolled, 2025-) Labs : Active in Middlesex's AI research group, integrating neuroscience with robotics and NLP

• Cognitive Psychology
• Motor Control
• Aging and Falls Prevention
• +۲ مورد دیگر

Dr. Sandhiran Patchay is Associate Professor of Movement and Cognition Research at the University of Greenwich's School of Human Sciences. His neuroscience research examines motor control, gait mechanics, and cognitive-motor interactions across the lifespan. With postdoctoral experience at CNRS Marseille and Royal Holloway, he investigates fall risks in older adults through cortical activity analysis. Current work explores connections between musculoskeletal pain, balance confidence, and mobility limitations. He developed interactive neuroscience teaching tools through a Teaching Quality Enhancement grant and previously led the BSc Psychology programme. Fellowships include the Wellcome Trust Postdoctoral Fellowship. His lab employs motion capture, EEG, and psychophysical methods to study perception-action integration.

• Assistive Technology
• Physical Activity & Exercise Interventions
• Neurological Disorders (Cerebral Palsy, Multiple Sclerosis)
• +۵ مورد دیگر

Prof. Marietta van der Linden is a Senior Research Fellow at Queen Margaret University (QMU), co-director of the Centre for Health, Activity and Rehabilitation Research (CHEARR), and part of the Dietetics, Nutrition & Biological Sciences department. With an MSc from the Vrije Universiteit Amsterdam and a PhD from the University of Strathclyde, she specializes in human movement science and bioengineering. Her work focuses on assistive technologies (e.g., Functional Electrical Stimulation) and exercise interventions for individuals with neurological conditions like cerebral palsy and multiple sclerosis (MS). She also explores frailty in chronic illnesses such as end-stage kidney disease and hemodialysis patients. Her research spans over 25 years, emphasizing practical applications in rehabilitation, including Frame Running for mobility-impaired individuals. She has contributed to clinical guidelines via Delphi studies and co-developed digital self-management tools (e.g., REFUEL-MS). Prof. van der Linden actively reviews grants for national/international bodies and supervises PhD students in her research areas. She is affiliated with the Clinical Motion Analysis Society and the CHEARR research centre. Key research themes include: Motor control and gait analysis in neurological disorders Exercise physiology adaptations in chronic conditions Frailty assessment and intervention in kidney disease Sensorimotor function in children with upper motor neuron lesions Publications highlight innovations in orthotic design (e.g., custom foot orthoses), pandemic impacts on physical activity in MS patients, and the feasibility of novel rehabilitation technologies like Frame Running. Her work bridges clinical practice and engineering to enhance mobility and quality of life for marginalized populations.

Peyman Mirtaheriمشاهده پروفایل

استاد

• Biomedical Engineering
• Neurotechnology
• Sensor Technology
• +۴ مورد دیگر

Peyman Mirtaheri is a full Professor of Biomedical Engineering at Oslo Metropolitan University's Faculty of Technology, Art and Design, leading the NIRS/optical lab established in 2009. He holds an adjunct professorship at Michigan Technological University's Biomedical Engineering department. His research focuses on developing novel sensor technologies for brain activity detection and applying fNIRS/EEG to study motion and balance in the cerebral cortex. As PI, he oversees major projects like PACER (RCN-funded), MgSafe (Horizon 2020), and Future Running Shoes (IP-N collaboration with Gaitline AS). He teaches medical sensors and actuators in the ACIT master's program and leads the ADEPT research platform integrating health intelligence and brain-inspired technologies across multiple faculties. Education details are not explicitly listed in the provided texts, but his academic roles imply advanced credentials in biomedical engineering. His research spans interdisciplinary domains including neurotechnology, wearable sensors, and clinical applications of brain monitoring. Over 70 publications demonstrate expertise in fNIRS signal processing, neuromorphic computing, and user-centered biomedical design. Professional networks include active Twitter (@PMirtaheri) and LinkedIn profiles. Current projects emphasize translational research and ethical design considerations in neurotechnology. His work bridges engineering, health sciences, and arts through collaborative platforms like ADEPT, addressing both technical innovation and societal impact.

Aaron Johnsonمشاهده پروفایل

دانشیار

• Vision Science
• Cognitive Psychology
• Eye Movements
• +۷ مورد دیگر

Aaron Johnson is an Associate Professor in the Department of Psychology at Concordia University, serving concurrently as Associate Vice President Research for Strategic Institutional Initiatives and Innovation, and Interim Executive Director of District 3 Innovation. He holds a PhD from the University of Glasgow. His research focuses on the interplay between vision, attention, and cognitive function, particularly in populations with visual impairments like macular degeneration, hearing loss, and dyslexia. Methodologically, he employs advanced techniques including EEG, gaze-contingent displays, virtual reality, and computational neuroscience. Education: PhD in Psychology, University of Glasgow Research Interests: Visual attention mechanisms in aging and disability Neuroplasticity through eccentric viewing training Ethical implications of erotic robotics Technology accessibility in STEMM conferences Airline pilot cognitive resilience under stress His work bridges basic cognitive science and applied domains like aviation human factors and low vision rehabilitation. Article Trends: Recent publications emphasize technology-mediated solutions for vision impairment (e.g., iPad accessibility studies), neurohormonal modulation (oxytocin effects), and societal implications of emerging technologies (sex robots, erotic AI). A consistent theme is cross-modal sensory interactions in clinical and everyday environments. Awards: No awards listed. Advising & Grants: No advisees listed. Research supported through Concordia institutional initiatives and external grants not detailed here. Labs & Teams: Directs the Concordia Vision Labs, collaborating with aviation safety experts and assistive technology developers to create inclusive solutions for visually impaired populations.

Karen Liمشاهده پروفایل

استاد

• Healthy Aging
• Executive Functions
• Motor Control
• +۶ مورد دیگر

Karen Li is a Professor of Psychology and Graduate Program Director (MA) at Concordia University. She holds affiliations with the Centre for Research in Human Development (CRDH), the School of Health (PERFORM Centre), and the engAGE Centre for research on aging. Her work focuses on cognitive control processes in multi-tasking contexts, particularly in aging populations. Key areas include the coordination of cognitive and motor tasks (e.g., gait, balance) under dual-task conditions, adaptive strategies in older adults, and interventions combining exercise and cognitive training to mitigate cognitive-motor decline. Education: PhD in Psychology from the University of Toronto. Research Themes: Healthy aging, executive functions, cognitive-motor interference, hearing loss, and dementia prevention. Team Leadership: Member of Team 12 in the Canadian Consortium on Neurodegeneration in Aging (CCNA), studying multimodal interventions for cognition and mobility in at-risk older adults. Her research underscores the interplay between sensory, motor, and cognitive systems in aging. Recent studies explore how hearing loss impacts dual-task performance and how combined interventions (e.g., exercise + cognitive training) can synergistically improve mobility and cognition. Key findings highlight the importance of addressing sensory impairments (e.g., hearing, vision) in developing targeted interventions. Publications emphasize real-world applications of dual-task paradigms, such as simulating listening-while-walking scenarios, and systematic reviews on cognitive-motor interference. Collaborations with interdisciplinary teams (e.g., CRDH, engAGE) ensure translational impact in aging research.

Antonio Fratiniمشاهده پروفایل

دانشیار

• Medical Imaging
• Medical Device Development
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Antonio Fratini is an Associate Professor in Mechanical, Biomedical & Design Engineering at Aston University, within the College of Engineering and Physical Sciences. He leads the Biomedical Engineering programmes and is a member of the AUEA Board of Directors. His research focuses on medical data processing (e.g., imaging, segmentation), medical device development, and the effects of sensorimotor stimulation on motor functions. He holds a PhD in Bioengineering from the University of Bologna (2009) and a PGcPP in Higher Education from Aston University (2015). His work spans 3D modeling for surgical training, vibration therapy applications in healthcare, and wearable sensor systems. He actively supervises PhD students and teaches modules like Medical Imaging and Biomedical Engineering Research Project. His recent articles explore smartphone-based physiological monitoring, smart gloves for hand motion analysis, and 3D anatomical education tools. Dr. Fratini collaborates with global academic and industry partners to advance medical technologies, emphasizing translational research and clinical impact.

Pavel Zahorikمشاهده پروفایل

دانشیار

• Auditory Perception
• Spatial Hearing
• Sound Localization
• +۵ مورد دیگر

Pavel Zahorik is an Associate Professor & Heuser Hearing Research Endowed Chair at the University of Louisville's Department of Psychological and Brain Sciences. His research focuses on auditory perception, particularly spatial hearing, sound localization, and the role of reverberation in speech understanding. Zahorik leads the Zahorik Auditory Perception Laboratory (ZAPlab), which explores human auditory performance in complex acoustic environments using advanced virtual auditory space (VAS) technology. Education: PhD in 1998 from the University of Wisconsin. Research Interests: Auditory distance perception, multisensory integration, effects of reverberation on speech intelligibility, and virtual auditory display validation. Key findings include perceptual adaptation to room acoustics and the role of binaural cues in spatial hearing. Collaborations: Heuser Hearing Institute, Sonova, and University of Louisville Health Sciences. Facilities: State-of-the-art anechoic chambers and sound field testing facilities funded by AFOSR and KY DEPSCoR. Teaching: Courses include PSYC 646/AUDI 648: Hearing Science I and PSYC 611: Advanced Statistics II. Students advised include PhD candidates like Ann Holmes and former students such as Greg Ellis and Paul Anderson. The lab's work has been published in journals like Journal of Neuroscience and Frontiers in Auditory Cognitive Neuroscience . ZAPlab's research bridges basic science and clinical applications, addressing hearing aid technology and hearing impairment challenges.