جستجوی استاد راهنمای دانشگاهی

Carolyn Emeryمشاهده پروفایل

استاد

• Injury Prevention
• Concussion Research
• Pediatric Rehabilitation
• +۳ مورد دیگر

Dr. Carolyn Emery is a Professor in the Faculty of Kinesiology at the University of Calgary, with joint appointments in Pediatrics and Community Health Sciences at the Cumming School of Medicine. She holds leadership roles as Chair of the Sport Injury Prevention Research Centre (an International Olympic Committee Research Centre) and the Alberta Children’s Hospital Research Institute. Her affiliations include the McCaig Institute for Bone and Joint Health, Hotchkiss Brain Institute, and O’Brien Institute for Public Health. Dr. Emery’s education includes a BScPT from Queen’s University (1988), MSc in Epidemiology from the University of Calgary (1999), and PhD in Epidemiology from the University of Alberta (2004). Her research focuses on injury prevention in youth sports, concussion, and pediatric rehabilitation, aiming to reduce long-term health consequences such as osteoarthritis and post-concussion syndrome. She leads major grants including CIHR’s “SHRed Injuries” and NFL-funded concussion surveillance programs. Her research interests emphasize practical interventions for injury prevention, including neuromuscular training and policy changes. Recent work explores concussion outcomes in adolescents, biomechanical injury mechanisms, and global sport safety initiatives. She has published extensively on topics like sport-related musculoskeletal injuries, concussion management, and the epidemiology of youth sports. Dr. Emery has received over 20 awards, including the Royal Society of Canada Fellowship, Killam Professorship, and CIHR Canada Research Chair. Her work bridges clinical practice, policy, and community engagement to enhance public health outcomes in sports and youth recreation. Her lab, the Sport Injury Prevention Research Centre, collaborates internationally to develop evidence-based strategies for injury prevention. Current projects include evaluating the impact of tackle laws in rugby, head acceleration in wrestling, and long-term consequences of pediatric concussions.

Ashli Owen-Smithمشاهده پروفایل

پژوهشگر

• Mental Health
• Behavioral Science
• Trauma
• +۶ مورد دیگر

Ashli Owen-Smith is a behavioral scientist affiliated with the School of Public Health at Georgia State University , where her research focuses on mental health disparities, suicide prevention, and integrative/complementary approaches for complex mental-physical health conditions. She works with underserved populations including refugees/immigrants, incarcerated individuals, and LGBTQ+ communities through community-based participatory research and mixed-methods frameworks. Her current projects are funded by CDC , DBHDD , and DPH . Education: Ph.D. in Behavioral Sciences (Emory, 2009), S.M. in Public Health (Harvard, 2005), B.A. in Psychology (Smith College, 2001) Her research spans mental health , trauma , suicide prevention , and mindfulness-based interventions . Recent work examines telehealth adaptations for chronic pain and mental health, vaccine hesitancy in refugee communities, and social determinants of suicide . She leads studies on gender-affirming care and health disparities in LGBTQ+ populations. Key article trends include epidemiological analysis of suicide risk factors, COVID-19 impacts on mental health, ICD-10 coding for autism, and complementary medicine in trauma recovery. Subfields span telehealth , health equity , mental-physical comorbidity , and community engagement . Students she has mentored include C.A. Scarlett , T. Griner , and M.M. Sesay . Her work integrates public health policy , clinical research , and health systems analysis .

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +۷ مورد دیگر

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

Milos Popovicمشاهده پروفایل

استاد

• Neurorehabilitation
• Neuroprosthetics
• Functional Electrical Stimulation (FES)
• +۱۲ مورد دیگر

Milos Popovic is a Professor and Director at the Institute of Biomedical Engineering, University of Toronto, and serves as Senior Scientist and Director of Research at the Toronto Rehabilitation Institute (KITE), University Health Network. He holds the Toronto Rehab Chair in Spinal Cord Injury Research and Neural Engineering and co-leads the Centre for Research in Advanced Neural Implant Applications (CRANIA). His leadership spans academic, clinical, and translational research domains in neuroengineering and rehabilitation. His research focuses on neurorehabilitation, neuroprosthetics, functional electrical stimulation (FES), brain-machine interfaces, and assistive technologies . He develops physiological control systems and therapeutic robotics to restore motor function after spinal cord injury and stroke. His work integrates biomechanics, signal processing, and human-machine interfaces to innovate rehabilitative solutions. Dr. Popovic's recent publications emphasize electrical neuromodulation, FES therapy for motor recovery, deep brain stimulation for cognitive deficits, and wearable/implantable technologies . The articles reflect a strong trend toward closed-loop systems, translational research, and interdisciplinary innovation in neuroengineering and rehabilitation. Swiss National Science Foundation Technology Transfer Award - 1st place (1997) Engineering Medal for Research and Development, Professional Engineers of Ontario (2008) Elected to the College of Fellows, American Institute of Medical and Biological Engineering (2011) 1st Prize and Best Intellectual Property Award, TiEQuest Business Venture Competition (2012) Morris (Mickey) Milner Award for Assistive Technologies (2013) University of Toronto Inventor of the Year Award (2013) University Health Network’s Inventor of the Year Award (2015) Dr. Popovic has secured significant research funding and leads the Neural Engineering and Therapeutics team at KITE. He co-founded MyndTec Inc. and the Canadian National Spinal Cord Injury Conference, demonstrating strong mentorship, innovation, and national impact. He advises graduate students and postdoctoral fellows in biomedical engineering and rehabilitation sciences. He leads the Rehabilitation Engineering Laboratory and the Neural Engineering and Therapeutics Team at KITE, fostering collaboration across engineering, neuroscience, and clinical rehabilitation. His lab develops advanced neurotechnologies with a focus on clinical translation and commercialization.

• Clinical Neuropsychology
• Neurological Disorders
• Neurodegenerative Conditions
• +۳ مورد دیگر

Dr. Ginger Mills is a board-certified bilingual (English/Spanish) clinical neuropsychologist and Assistant Professor of Neurology at Yale School of Medicine. She specializes in assessing neurological disorders and neurodegenerative conditions through comprehensive cognitive and emotional evaluations that integrate developmental and cultural contexts. Specializes in neuropsychological evaluations for diagnostic clarity Focuses on memory disorders and cognitive rehabilitation Active in clinical research on prospective memory mechanisms Her research spans prospective memory assessment across diverse populations including children with epilepsy, brain injury patients, and healthy adults. Publications highlight methodological innovations like the MISTY testing framework and visual imagery interventions for memory disorders. Clinical expertise includes: Dementia and Alzheimer's disease Developmental neuropsychology Psychological assessment of children Dr. Mills emphasizes patient-centered care, stating: 'You are the expert on you. Trust your instinct and gut.' She maintains active clinical practice at Yale Medicine Neurology while contributing to translational research through peer-reviewed publications in journals like Child Neuropsychology and Clinical Neuropsychologist .

• Sleep Biology
• Neurodevelopment
• Chronic Pain
• +۵ مورد دیگر

Professor Richelle Mychasiuk, affiliated with the School of Medical Sciences at the University of Sydney, specializes in Sleep Biology and the neurobiological impacts of early life experiences. Her research focuses on how perinatal trauma and adverse childhood events shape neurodevelopment, increasing susceptibility to sleep disturbances, chronic pain, and post-concussive symptomologies in adolescents, with a particular emphasis on sex differences. Education: PhD in Neuroscience Her work explores mechanisms by which early life stressors "under the skin" to alter neuroplasticity and microbiome-gut-brain interactions. She co-founded The GIN hub, integrating Gastroenterology, Immunology, and Neuroscience to study complex chronic disease models. Recent articles highlight her contributions to understanding dietary influences on pain, epigenetic modifications, microbiome depletion effects, and neurovascular interventions in TBI models. Grants: 2025 FMH Start-up Scheme (Faculty of Medicine and Health, University of Sydney) Collaborations: Brain and Mind Centre, University of Sydney; clinical research partnerships for translational studies.

Maria T. Schultheisمشاهده پروفایل

استاد

• Neurorehabilitation
• Virtual Reality Technology in Psychology
• Driving Capacity After Neurological Compromise
• +۳ مورد دیگر

Maria T. Schultheis is a Professor in Drexel University's Department of Psychological and Brain Sciences and holds a joint appointment in the School of Biomedical Engineering, Science and Health Systems. As Interim Director of Clinical Training, she oversees clinical psychology education. She earned her PhD in Clinical Psychology from Drexel University in 1998. Her research focuses on neurorehabilitation, particularly applying virtual reality (VR) technology to assess and improve driving capacity and everyday functioning in individuals with neurological disorders like traumatic brain injury, stroke, and multiple sclerosis. She has pioneered VR-based driving simulators for clinical evaluation and rehabilitation. Her work integrates clinical psychology, engineering, and transportation science, addressing cognitive, physical, and behavioral demands of driving post-neurological injury. Key projects include developing driving assessment protocols for disabled populations and investigating fatigue management in MS patients. Her interdisciplinary approach has been funded by NIH, NIDRR, and the NMSS. Notable awards include the 2007 APA Early Career Award (Division 40) and recognition from the National Academy of Neuropsychology. Schultheis leads the Applied Neuro-Technologies Lab, emphasizing ecologically valid methodologies. Over 35 peer-reviewed publications and presentations at international forums highlight her contributions. She serves on the National Research Council’s Transportation Research Board, influencing policy on neurological disorders and mobility. Grants have supported projects like VR-based financial competency assessments and understanding dual-task demands in post-concussion driving. Her research also explores decision-making competency in young adults and the neurocognitive correlates of risky driving behaviors. Collaborations with biomedical engineers and transportation specialists reflect her commitment to bridging clinical practice and technological innovation for functional recovery.

• Public Health
• Physical Activity
• Healthy Ageing
• +۷ مورد دیگر

Dr. Abby Haynes is a Research Fellow at the Sydney School of Public Health, University of Sydney, affiliated with the Institute for Musculoskeletal Health and Faculty of Medicine and Health. Her work focuses on physical activity for healthy ageing and people with disability, employing qualitative research, systems thinking, and realist evaluation. Key research themes include: Healthy Ageing Disability and Physical Activity Implementation Science Knowledge Mobilisation Her recent publications analyze: Inclusive sports programs for children with disability Fall prevention in acute hospitals Telehealth physiotherapy for aged care Realist evaluations of yoga and dance interventions Systems thinking in public health policy These emphasize public health, gerontology, and health equity approaches. Grants include MRFF-funded projects on traumatic brain injury rehabilitation (2024), fall prevention (2023), and aged care mobility (2022).

Sylvia Richardsonمشاهده پروفایل

استاد پژوهش

• Biostatistics
• Bayesian Statistics
• Spatial Modeling
• +۷ مورد دیگر

Sylvia Richardson is an MRC Investigator at the MRC Biostatistics Unit and holds a Research Professorship at the University of Cambridge, where she served as Director of the Biostatistics Unit from 2012 to 2021. She is affiliated with the Cambridge Mathematics of Information in Healthcare Hub (CMIH) at the Centre for Mathematical Sciences. Her work bridges advanced statistical methodology with critical healthcare applications, particularly in the analysis of complex biomedical data. Richardson's research spans multiple domains of biostatistics with a strong emphasis on Bayesian approaches. Her work has significantly advanced spatial modeling and disease mapping techniques, developed sophisticated methods for handling measurement error in epidemiological studies, and pioneered mixture and clustering models for integrative analysis of heterogeneous data sources. Her research addresses fundamental challenges in analyzing longitudinal health data, multimorbidity patterns, and complex disease trajectories. Her publication record demonstrates consistent methodological innovation applied to pressing healthcare challenges. Recent work focuses on traumatic brain injury outcomes, multimorbidity progression, genomic analysis, and statistical approaches to pandemic data. The articles reveal a strong pattern of methodological development driven by real-world healthcare challenges, with particular attention to longitudinal analysis, Bayesian computation, and integrative modeling approaches that can handle diverse and complex data structures. While specific awards are not detailed in the available information, Richardson's leadership as Director of the MRC Biostatistics Unit for nearly a decade and her continued Research Professorship reflect significant recognition of her contributions to the field. Her work with major international consortia like CENTER-TBI demonstrates her role in large-scale collaborative research efforts addressing critical health challenges. Richardson's research has substantial implications for healthcare policy and practice, particularly in understanding disease progression, developing predictive models for patient outcomes, and creating methodological frameworks that can integrate diverse data sources to generate meaningful clinical insights. Her work continues to influence both statistical methodology and healthcare applications through ongoing research and leadership in the field.

Frank E. Garceaمشاهده پروفایل

دانشگاهی

• Cognitive Neuroscience
• Neuroimaging
• Neurology
• +۴ مورد دیگر

Frank E. Garcea, Ph.D., is a Research Assistant Professor in the Department of Neurosurgery and Neuroscience at the University of Rochester School of Medicine and Dentistry. His research focuses on the cognitive and neural mechanisms underlying tool use, apraxia, and stroke recovery. He employs neuropsychological testing, fMRI, and lesion-symptom mapping to study brain injury effects on functional connectivity and action knowledge. Education: Bachelor of Science in Psychology, St. John Fisher College (2006–2010) PhD in Brain and Cognitive Sciences, University of Rochester (2012–2017) Research Interests: Dr. Garcea investigates how brain regions like the parietal cortex and dorsal/ventral streams mediate object manipulation and tool use. His work explores stroke-related disconnection syndromes, motor speech coordination networks, and translational brain mapping to preserve neural function during surgery. He collaborates on projects involving epilepsy patients undergoing electrocorticography to study action-related neural pathways. Labs & Affiliations: Principal Investigator of the Garcea Lab at URMC, focusing on tool use deficits in brain tumor/stroke survivors. Affiliated with the Del Monte Institute for Neuroscience and the Neurobiology & Anatomy Program. His lab integrates neuroimaging, lesion analysis, and clinical care to advance personalized brain mapping strategies.

Brooks Casasمشاهده پروفایل

استاد

• Decision Neuroscience
• Computational Psychiatry
• Social Decision-Making
• +۱۲ مورد دیگر

Brooks Casas, Ph.D., is a Professor at the Fralin Biomedical Research Institute at VTC, with joint appointments in the Department of Psychology (College of Science), Department of Biomedical Engineering and Mechanics (College of Engineering), and the Department of Psychiatry and Behavioral Medicine (School of Medicine) at Virginia Tech. He is also a College of Science Faculty Fellow, recognized for his contributions to decision neuroscience and computational psychiatry. Ph.D. in Psychology, Harvard University Postdoctoral Fellowship, Baylor College of Medicine Former Assistant Professor of Neuroscience and Psychiatry, Baylor College of Medicine Brooks Casas investigates the neural computations underlying social decision-making, focusing on how valuation, learning, and social preferences shape human choices. His research integrates decision neuroscience, behavioral economics, and social psychology to understand both normative and pathological decision processes. Key areas include trust, risk preferences, social influence, and impaired decision-making in psychiatric disorders such as substance abuse and borderline personality disorder. His lab employs fMRI, computational modeling, and longitudinal studies to explore these phenomena. His recent publications span topics such as machine learning applications in diagnosing borderline personality disorder, neural predictors of adolescent risk behaviors, and the role of cognitive control in substance use. His work often involves large-scale longitudinal studies, such as the decade-long investigation into early life adversity and brain development with Jungmeen Kim-Spoon. He has not received any explicitly mentioned scientific awards in the provided text. Casas leads the Casas Lab within the Center for Human Neuroscience Research and collaborates extensively with students and researchers across disciplines. His work is supported by grants from the National Institutes of Health and the Institute for Society, Culture, and Environment. He advises multiple graduate students and early-career researchers, contributing significantly to training in computational psychiatry and decision neuroscience. His lab, the Casas Lab, is part of the Fralin Biomedical Research Institute and focuses on human neuroscience research, particularly using neuroimaging and behavioral experiments to study social and economic decision-making.

• Artificial Intelligence in Healthcare
• Precision Medicine
• Machine Learning Applications in Healthcare
• +۵ مورد دیگر

Magnus Boman is a Professor of AI and Health at the Department of Medicine, Solna, Karolinska Institutet (KI), where he leads the AI@KI initiative to support researchers in AI integration. He is affiliated with the Chronic Inflammatory Disease Epidemiology research group under Johan Askling. His research focuses on AI applications in precision medicine, multimodal prediction, ethical norms in AI systems, energy-efficient computing, and quantum sensor data interpretation. Research Interests: Artificial Intelligence in healthcare and precision medicine Multimodal data analysis for disease prediction and treatment Machine learning for clinical decision support systems Ethical and societal implications of AI Grants: Swedish Research Council: Improving breast cancer histology image classification (2024-2026) Scalable Federated Learning (2022-2025) Ai in sustainable cities (VINNOVA, 2019) Advising & Students: Supervised over 50 PhD and Master's students across KI, KTH, and Stockholm University, focusing on AI applications in healthcare, machine learning, and computational epidemiology. Notable projects include predictive modeling for mental health outcomes and variant filtering in genetic data. Labs & Teams: Leads AI@KI, fostering AI adoption in medical research. Collaborates with the Johan Askling group on epidemiology and chronic disease studies.

Timothy H. Murphyمشاهده پروفایل

استاد

• Neuroscience
• Stroke Recovery
• Brain Circuit Mapping
• +۵ مورد دیگر

Dr. Timothy H. Murphy is a Professor in the Department of Psychiatry at the University of British Columbia's Faculty of Medicine. He is also an Associate Member of the School for Biomedical Engineering and a Member of the Djavad Mowafaghian Centre for Brain Health. Dr. Murphy leads the Dynamic Brain Circuits in Health and Disease initiative and the Division of Neuroscience and Translational Psychiatry at UBC. Dr. Murphy received his Ph.D. from Johns Hopkins University in 1989 and his B.Sc. from Saint Mary's College Maryland in 1984. His research focuses on understanding brain circuit structure-function relationships in relation to stroke recovery, psychiatric disorders, and neurological diseases. He specializes in mesoscale imaging techniques to study cortical activity patterns and develop automated approaches for brain imaging and stimulation. His laboratory develops innovative tools including open-source hardware for automated mouse brain imaging, synthetic data generation for behavioral analysis, and chronic recording systems that enable simultaneous mesoscale cortical imaging with subcortical or peripheral nerve activity monitoring. Research from the Murphy Lab has significantly advanced our understanding of how brain circuits reorganize after stroke and in models of psychiatric disorders. Dr. Murphy's recent publications reveal trends in mesoscale cortical imaging, development of synthetic data for behavioral analysis, and exploration of circuit-level changes in neurological and psychiatric disease models. His work bridges basic neuroscience with potential clinical applications for stroke recovery and mental health treatments. Dr. Murphy has mentored numerous students and postdoctoral fellows who have gone on to successful careers in neuroscience and related fields. His laboratory has received funding to support innovative approaches to understanding brain circuit function and recovery mechanisms. The Murphy Lab maintains strong collaborative ties across UBC and develops open-source tools that are widely adopted by the neuroscience community. Their work on automated home-cage imaging systems, synthetic behavioral data generation, and chronic recording technologies represents significant methodological advances in the field.

Martin M. Montiمشاهده پروفایل

استاد

• Neuroscience
• Disorders of Consciousness
• Traumatic Brain Injury
• +۴ مورد دیگر

Martin M. Monti is a Professor of Psychology, Neurosurgery, and Psychiatry and Biobehavioral Sciences at the University of California Los Angeles (UCLA), affiliated with the College of Letters and Science. His research focuses on disorders of consciousness, traumatic brain injury (TBI), neuroimaging, and cognitive neuroscience. He holds an MA and PhD in Psychology & Neuroscience from Princeton University (2006–2007) and a BA in Economics from Università Commerciale L. Bocconi (2002). Key research interests include understanding consciousness recovery mechanisms, neuroimaging techniques for TBI assessment, and neuromodulation therapies. Recent work explores subcortical correlates of sleep quality, AI-driven models of consciousness, and transcranial focused ultrasound applications. Monti has received prestigious awards, including the UCLA Life Science Faculty Award (2020, 2014) and the International Prize Giuseppe Sciacca for Medical Research (2018). He leads interdisciplinary projects through collaborations like the ENIGMA working group and the Curing Coma Campaign, advancing global neuroimaging standards and translational research.

Junfang Wuمشاهده پروفایل

استاد

• Neurotrauma
• Neuropharmacology
• Neuroinflammation
• +۷ مورد دیگر

Dr. Junfang Wu is a Professor in the Department of Anesthesiology and holds a secondary appointment in Neurobiology at the University of Maryland School of Medicine. She serves as Associate Director of UM-MIND (University of Maryland - Medicine Institute for Neuroscience Discovery), Director of the Anesthesiology Center for Neuroscience Research, and Vice-Chair for Translational Research in the Department of Anesthesiology. Her academic journey includes a BM in Medicine, MS in Pharmacology from Jiangxi Medical College, and PhD in Neuropharmacology from Nanjing Medical University, followed by postdoctoral training at China's Institute of Materia Medica and NIH. Research Focus: Neurotrauma, neuroinflammation, autophagy-lysosomal pathway, extracellular vesicles, Hv1/NOX2/ROS, TrkB.T1 Key Techniques: Rodent models of SCI/TBI, behavioral evaluations, EV characterization, quantitative imaging, molecular/cellular biology Dr. Wu's research explores the cellular and molecular mechanisms of neurological dysfunction following CNS trauma, with emphasis on autophagy-lysosomal disruption, microglial Hv1 channels, and EV-mediated neuroinflammatory signaling. Her 2025 Aging and disease study reveals age-dependent transcriptional changes post-anesthesia, while 2024 Brain, Behavior, and Immunity work demonstrates how SCI alters EV cargoes to drive brain neuroinflammation. Her team recently discovered that Hv1 proton channel ablation in microglia provides neuroprotection in SCI models. Her scientific contributions are recognized through the 2025 Matjasko Professorship in Anesthesiology Research. She has secured multiple NIH grants including: R01 NS145443 (2025-2030): cGAS signaling in brain trauma-induced neuroinflammation R01 AG077541 (2022-2027): TBI olfactory dysfunction and dementia progression 2RF1 NS094527 (2016-2027): Autophagy mechanisms in SCI R01 NS110825 (2020-2026): Hv1 channel in SCI/TBI Dr. Wu's laboratory personnel include Research Associates Yun Li and Zhuofan Lei, Post-doctoral Fellows Balaji Krishnamachary and Zihui Wang, Research Assistant Hui Li, and medical student Ruth Park. Her work spans from bench research on lysosomal damage to clinical implications for Alzheimer's disease-related dementia (AD/ADRD) and potential therapeutic strategies.