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Dr. Camila Aquino serves as Assistant Professor in both the Department of Clinical Neurosciences and Department of Community Health Sciences at the University of Calgary's Cumming School of Medicine, and is a Full Member of the Hotchkiss Brain Institute. As Medical Director of the Deep Brain Stimulation Program, she specializes in Parkinson's disease, essential tremor, dystonia, and chorea management, including EMG-guided botulinum toxin injections. Her educational background includes: M.D. in Medicine from Escola Superior de Ciencias da Santa Casa (2005) M.S. in Neurosciences from Federal University of Sao Paulo (2012) Ph.D. in Neurosciences from Federal University of Sao Paulo (2019) M.S. in Health Research Methods, Clinical Epidemiology from McMaster University (2020) Dr. Aquino's research addresses unmet needs in movement disorders through innovative clinical trial designs for Parkinson's disease, focusing on precision-medicine approaches, early intervention, and outcome optimization. She actively evaluates neuromodulation therapies including Deep Brain Stimulation, Spinal Cord Stimulation, and MRgFUS, with emphasis on expanding indications and improving patient outcomes. As an International Parkinson and Movement Disorder Society member, she chairs the web-based learning committee and serves on evidence-based medicine and outcome measure committees. Analysis of her 15 most recent publications (2021-2025) reveals a cohesive research trajectory centered on Parkinson's disease management, with dominant themes in motor fluctuation treatments, deep brain stimulation methodology, and clinical trial innovation. Her work bridges fundamental clinical practice guidelines with advanced neuromodulation technologies, demonstrating consistent commitment to evidence-based solutions for movement disorders. Her scientific recognition includes: Parkinson Canada research grant Mohammed Al Zaibak Foundation scholarship CAPES scholarship from Brazilian Ministry of Education Dr. Aquino has secured significant research funding supporting clinical trials in Parkinson's disease neuroprotection and neuromodulation therapies. While specific student advisees aren't listed, her leadership of the DBS Program and active clinical trial portfolio indicate substantial mentorship responsibilities. Her grant portfolio emphasizes translational research with direct clinical impact. She directs the University of Calgary's Deep Brain Stimulation Program and contributes to the MRI-guided focused ultrasound initiative. Through her International Parkinson and Movement Disorder Society committee roles, she shapes global educational standards and evidence-based practices in movement disorders.

• Movement Disorders
• Parkinson's Disease
• Deep Brain Stimulation
• +5 more

Mohsen Ghafouri is an Associate Professor at the Concordia Institute for Information Systems Engineering (Concordia University). His research focuses on cybersecurity, smart grids, and cyber-physical systems with emphasis on securing energy infrastructure against cyber-attacks. Key areas include detection and mitigation of false data injection attacks, grid resilience against load-altering threats, and secure transactive energy markets. Research interests include wide-area monitoring systems (WAMS), microgrid control, and integration of renewable energy sources. He has developed frameworks for real-time anomaly detection in power systems, blockchain-based security solutions, and machine learning approaches for cyber threat identification. His work addresses vulnerabilities in smart grid components like IEC 61850 substations and EV ecosystems. Recent publications (2024-2025) highlight advancements in securing FACTS controllers, EV charging systems, and distributed energy resources. He has proposed novel mitigation strategies using reinforcement learning, graph neural networks, and federated learning. No scientific awards or grant details are provided in the source text. No advising relationships or lab affiliations are explicitly stated.

• Smart Grid Security
• Cyber-Physical Systems Security
• Wide Area Monitoring Systems (WAMS)
• +5 more

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +4 more

Dr. Bill Sheel is a Professor and Distinguished University Scholar at the School of Kinesiology, University of British Columbia. His research focuses on the integrative physiology of exercise, particularly respiratory and cardiovascular interactions. Email: bill.sheel@ubc.ca Office: Chan Gunn Pavilion, Room 221B, Vancouver, BC Lab: Health and Integrative Physiology Laboratory Research Interests: Dr. Sheel investigates respiratory physiology during exercise, cardiovascular modulation by breathing patterns, and human performance optimization. His work spans elite athletes, aging populations, and clinical applications. Publication Trends: Recent studies include pulmonary mechanics in exercise physiology, respiratory muscle training applications, and socio-cultural factors in sports science. Collaborative works address aging interventions and environmental influences on athletic performance. Scientific Recognition: Distinguished University Scholar, UBC Laboratory & Collaborations: Leads the Health and Integrative Physiology Laboratory at UBC, focusing on respiratory-cardiovascular integration and exercise tolerance mechanisms.

• Exercise Physiology
• Respiratory Physiology
• Neuromechanics
• +3 more

Gunnar Blohm is an Assistant Professor in the Department of Biomedical and Molecular Sciences at Queen's University, affiliated with the School of Medicine and Faculty of Health Sciences. His research focuses on sensorimotor neuroscience, particularly 3D sensorimotor control, eye-hand coordination, and computational modeling of neural processes. He holds a Ph.D. from Université Catholique de Louvain and has held postdoctoral positions at York University and his alma mater. Cross-appointed to the School of Computing, Department of Psychology, and Department of Mathematics and Statistics, he is also Vice-Director of the Connected Minds initiative. His research integrates behavioral experiments, brain imaging (MEG/EEG), and patient studies to understand how sensory information is transformed into goal-directed actions. Key areas include visuomotor transformations, multisensory integration, and Bayesian processes in neural computations. Blohm leads the Computational Sensorimotor Neuroscience Lab, emphasizing collaborative projects like Neuromatch Academy and contributions to open science initiatives. Affiliated with Queen's Centre for Neuroscience Studies and Ingenuity Labs, his work bridges computational approaches with clinical applications, aiming to develop frameworks for understanding brain dysfunction and clinical tools. His recent articles explore topics like saccade dynamics, pupil responses, and generative adversarial collaborations in scientific discourse.

• Sensorimotor Neuroscience
• Clinical Medicine
• Neurology
• +3 more

T.V. Paul is a Distinguished James McGill Professor of International Relations at McGill University's Department of Political Science, part of the Faculty of Arts. He has held leadership roles including President of the International Studies Association (ISA, 2016-2017) and founded the Global Research Network on Peaceful Change (GRENPEC). His research focuses on international security, rising powers (especially India and China), nuclear proliferation, and IR theory. Paul has been honored with prestigious awards such as the Royal Society of Canada Fellowship (2018) and the ISA-Canada Distinguished Scholar Award (2024). Education: PhD in Political Science from UCLA (1991), MA from UCLA (1988), MPhil from Jawaharlal Nehru University (1984), and BA from Kerala University (1977). Research interests span international security dynamics, globalization impacts on state behavior, regional security in Asia, and nuclear non-proliferation. His work emphasizes peaceful change mechanisms and soft balancing strategies in global politics. Recent articles analyze deglobalization trends, China-India rivalry, and institutional adaptations to power shifts. Grants include SSHRC funding for studies on peaceful grand strategies and FRQSC support for international security research. He has organized major conferences on topics like 'Globalization and National Security' and 'Accommodating Rising Powers'. His advisory roles include directing GRENPEC and serving on editorial boards for Georgetown University Press' South Asia series. Labs/Teams: Leads GRENPEC, a global network analyzing peaceful change in world politics, and previously directed McGill/Université de Montréal's Center for International Peace and Security Studies (CIPSS).

• International Relations
• International Security
• India/Rising Powers
• +5 more

Roger Tam is an Associate Professor in the School of Biomedical Engineering (SBME) at the University of British Columbia (UBC), with a joint appointment in the Department of Radiology. He is also the Associate Director of Graduate Studies. His research focuses on machine learning and computer vision applied to medical imaging, particularly in personalized medicine and quantitative image analysis. Tam earned his PhD in computer science from UBC in 2004, specializing in computational geometry and visualization. Education: PhD in Computer Science, UBC (2004) MSc in Computer Science BSc (Honors) Research Interests: Medical imaging biomarkers Machine learning applications in healthcare Quantitative image analysis Personalized medicine His work bridges computer science and clinical medicine, emphasizing translational approaches to improve diagnostic accuracy and patient outcomes. Recent Research Trends: Focus on myelin content analysis in neurological disorders (e.g., multiple sclerosis) Development of efficient machine learning models for medical image classification Impact of physical activity on white matter health Labs & Programs: Directs the Engineers in Scrubs program, which integrates engineering principles into biomedical education. Active in collaborative research initiatives like the Centre for Brain Health and the Canadian Prospective Cohort Study (CanProCo).

• Medical Imaging
• Machine Learning
• Quantitative Image Analysis
• +3 more

Thomas K. Uchida is an Associate Professor in the Department of Mechanical Engineering at the University of Ottawa, a position he has held since May 2024. Prior to this promotion, he served as an Assistant Professor at the same institution from October 2018 to May 2024. Before joining the University of Ottawa, Dr. Uchida was an Engineering Research Associate (April 2015-August 2018) and Simbios Distinguished Postdoctoral Fellow (July 2012-April 2015) in the Department of Bioengineering at Stanford University. Dr. Uchida's research focuses on the modeling and simulation of dynamic systems, with particular emphasis on human movement biomechanics. His work spans multiple areas including: Simulation-guided design of assistive devices for improving mobility Modelling musculotendon dynamics and energy expenditure Parameter identification and model reduction methods Impact and contact dynamics Development of computational tools for biomechanical analysis He is a co-author of the book "Biomechanics of Movement: The Science of Sports, Robotics, and Rehabilitation" published by MIT Press, and actively contributes to the development of OpenSim, an open-source software platform for modeling musculoskeletal systems and generating simulations of human and animal movement. His work on OpenSim was featured on the cover of PLoS Computational Biology. Dr. Uchida's recent publications demonstrate strong activity in biomechanics, robotics, and computational modeling. His work bridges engineering principles with biological applications, particularly in understanding human movement mechanics. Key trends include applying machine learning to gait analysis, developing enhanced spine models, analyzing human balance stability with time delays, and advancing musculoskeletal simulation techniques. As an academic advisor, Dr. Uchida currently supervises seven graduate students: Firas Baklouti (expected completion August 2025) Shahin Sharafi Kazem Alambeigi Jiawei Gao Yuzhen Yan Manuel Lucas De Oliveira Blake Scott Miller Dr. Uchida collaborates with research teams focused on biomechanics and movement science. His work with OpenSim places him within an international community of researchers developing computational tools for biomechanical analysis, connecting mechanical engineering with biomedical applications in sports, robotics, and rehabilitation.

• Biomechanics
• Dynamical Systems
• Musculoskeletal Modeling
• +7 more

Lyndia Wu is an Assistant Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science, where she holds the prestigious Canada Research Chair in Wearable Brain Injury Sensing. She leads the SimPL (Sensing in Biomechanical Processes Lab) and maintains an active research program focused on biomechanics and medical device development. Her educational background includes: B.A.Sc. from the University of Toronto M.S. from Stanford University Ph.D. from Stanford University Postdoctoral Fellowship from Stanford University Dr. Wu's research program centers on developing novel sensing and data analytics technologies to study human biomechanics in health and disease states. Her primary research areas encompass brain injury or concussion biomechanics using advanced sensing, modeling, and machine learning approaches, as well as the development of innovative sensors and algorithms for studying sleep disorders like obstructive sleep apnea. She specializes in wearable sensors for brain health monitoring, traumatic brain injury mechanisms, and AI applications in healthcare settings. Analysis of her recent publications reveals a strong focus on sports-related head impacts (particularly in soccer), EEG monitoring following impacts, and sleep monitoring after concussions. Her work demonstrates interdisciplinary collaboration across biomechanical engineering, neuroscience, and clinical medicine, with publications spanning biomechanics, neurotrauma, biomedical instrumentation, and signal processing domains. Dr. Wu has received significant recognition for her work, including: Scholar Award from the Michael Smith Foundation for Health Research (2019) Junior Faculty Teaching Award from UBC Mechanical Engineering (2022) She actively supervises graduate students in Mechanical Engineering programs (MASc and PhD) and collaborates extensively across disciplines. Dr. Wu is affiliated with multiple research centers including the Institute for Computing, Information and Cognitive Systems (ICICS), Origins of Balance Deficits and Falls, and SmarT Innovations for Technology Connected Health (STITCH), reflecting her interdisciplinary approach to solving complex biomedical challenges. As director of the SimPL lab, she leads a research team developing cutting-edge sensing solutions for biomechanical processes with particular emphasis on brain injury prevention, monitoring, and recovery assessment through innovative engineering approaches.

• Biomechanical engineering
• Biomedical instrumentation
• Biomedical signal processing
• +11 more

Jennifer Jakobi is a Professor at the School of Health and Exercise Sciences , Faculty of Health and Social Development, UBC Okanagan. She serves as Director of the Institute for Healthy Living and Chronic Disease Prevention and holds the NSERC Chair for Women in Science and Engineering . Her work bridges neuromuscular physiology and STEM diversity initiatives . Research Themes : Frailty, aging in place, sex-differential muscle function, and motor unit modulation. Labs : Leads the Healthy Exercise and Aging Lab (HEAL) and coordinates the iSTAND diversity program. Publications focus on aging biomechanics, cannabis impacts in elderly populations, social VR interventions, and pandemic-era health behaviors. Her NSERC-funded basic research examines cortical-spinal pathways, while UBCO grants support applied studies on vibration therapy and assistive technologies. Scientific Contributions : Identified sex-specific force steadiness mechanisms Developed prehabilitation frameworks for functional independence Advocated for gender-inclusive STEM education Outreach includes youth STEM camps, equity workshops, and community partnerships on aging-in-place policies. Current research explores VR-based social engagement and cannabis safety protocols for seniors.

• Neuromuscular Physiology
• Exercise Physiology
• Healthy Aging
• +7 more

Dr. Kevin J. Deluzio is an Associate Professor in the Department of Mechanical and Materials Engineering at Queen's University and serves as Dean of Smith Engineering. He holds a cross-appointment in the Centre for Health Innovation and is affiliated with the Canadian Orthopaedic Research Society and multiple biomechanics societies. His research focuses on musculoskeletal health, biomechanics of human locomotion, and knee osteoarthritis treatment evaluation. Dr. Deluzio earned his BSc (1988), MSc (1990), and PhD (1997) from Queen's University, followed by postdoctoral training at Harvard University. He previously held a faculty position at Dalhousie University, establishing the Dynamics of Human Motion Laboratory. Education: Bachelor of Science (Honours) in Mathematics and Engineering, Queen's University (1988) Master's of Science in Mechanical Engineering, Queen's University (1990) Doctor of Philosophy in Mechanical Engineering, Queen's University (1997) Post-doctorate in Orthopaedic Biomechanics, Harvard University (1999) Research Interests: Dr. Deluzio investigates biomechanical factors of musculoskeletal diseases (e.g., knee osteoarthritis), non-invasive therapies, and surgical treatments like total knee replacement. His work involves markerless motion capture systems and collaborations between engineering and medicine through the Human Mobility Research Centre at Kingston General Hospital. Grants & Awards: While no specific awards are listed, his research has been supported through academic appointments and institutional affiliations. Labs & Teams: Directs the Dynamics of Human Motion Laboratory and collaborates at the Human Mobility Research Centre, integrating engineering and medical expertise to advance musculoskeletal health solutions.

• Orthopedics
• Musculoskeletal health and human movement
• Bone, skin and cartilage science
• +4 more

Sylvie Nadeau is a Full Professor in the School of Rehabilitation at the University of Montreal's Faculty of Medicine. Her research focuses on locomotor activity assessment, rehabilitation interventions for neurological conditions, and biomechanical analysis of movement. She leads interdisciplinary projects addressing spinal cord injuries, stroke recovery, and mobility challenges in aging populations. Key affiliations include the INTER strategic research group and the REPAR provincial rehabilitation research network. She collaborates with institutions like the Institut de Réadaptation Gingras-Lindsay-de-Montréal (IRGLM) and has secured funding from agencies such as FRQNT, MITACS, and the Rick Hansen Institute. Her work integrates technologies like smart stationary bikes and real-time avatars to enhance rehabilitation outcomes. Research interests span gait analysis, dynamic balance, and sensorimotor rehabilitation. She has supervised over 30 graduate students, contributing to advancements in post-stroke mobility, incontinence management, and telerehabilitation. Recent projects include developing intelligent exercise systems and evaluating environmental impacts on mobility in museum settings. Directed the 2019 SOFPEL international congress Co-led the TRIVEL intelligent cycle prototype development Pioneered studies on bilateral upper limb coordination post-stroke Her teaching includes courses in physiotherapy and evidence-based practice, shaping future generations of rehabilitation professionals. She prioritizes translating research into clinical practice through innovative interventions and technology integration.

• Gait Analysis
• Functional Task Analysis
• Neurological Rehabilitation
• +7 more

Dr. Stephen Brown is an Associate Professor in the Department of Human Kinetics at the University of Guelph. His research focuses on lumbar spine mechanics, muscle physiology, and injury rehabilitation. He holds a BHK and MHK from the University of Windsor, a PhD from the University of Waterloo, and completed postdoctoral training at the University of California San Diego. Education: BHK, MHK - University of Windsor PhD - University of Waterloo Post-doctoral Fellowship - University of California San Diego His research integrates anatomical studies, mechanical testing, and human participant analysis to address four core themes: lumbar spine function, injury mechanisms, adaptation responses, and rehabilitation strategies. Current work combines novel techniques like laser diffraction with biomechanical modeling to explore muscle-tissue interactions. His lab employs three main methodologies: cadaveric tissue analysis, mechanical testing of muscles/spine tissues, and human movement studies using EMG and kinematic modeling. Recent publications (2016–2018) highlight investigations into spine kinematics, kinesio taping effects, muscle fatigue impacts, and postural control in athletic populations. Advising & Grants: Advises 5 graduate students (3 PhD, 2 MSc) Teaching: HK*4600 Applied Human Kinetics II, HK*4240 Occupational Biomechanics Labs are located in ANNU 358/362. Research aims to reduce low-back pain incidence through mechanistic insights into spine-muscle interactions.

• Lumbar Spine Mechanics
• Muscle Physiology
• Biomechanics
• +3 more

Dr. Alison Oates is an Associate Professor at the University of Saskatchewan's College of Kinesiology, specializing in biomechanics and motor control. Her research focuses on neuromuscular adaptations, healthy aging, and managing chronic conditions through gait analysis and balance control. She holds a PhD from the University of Waterloo, with postdoctoral training at McGill University on locomotor rehabilitation post-stroke. Her academic background includes a B.Sc. in Kinesiology from Waterloo, followed by advanced studies in dynamic stability during gait termination in Parkinson's patients. She teaches advanced courses such as Motor Control of Neurological Conditions (KIN 422.3) and Sensorimotor Control of Posture & Locomotion (KIN 822.3). Dr. Oates' research explores biomechanical and neuromuscular aspects of balance and gait, particularly in neurologically impaired populations and older adults. Recent work includes studies on haptic feedback systems, sex-and-gender-based analysis in balance research, and fall prevention strategies. Her articles highlight innovative methods like IMU-based motion capture and clinical applications for spinal cord injury and stroke rehabilitation. While no formal academic awards are listed, her contributions to gait rehabilitation and biomechanical measurement techniques are widely recognized. She currently oversees research projects investigating the efficacy of haptic input on walking stability and neuromuscular adaptation mechanisms. Her work bridges clinical practice and biomechanical theory to improve rehabilitation outcomes for individuals with neurological disorders.

• Biomechanics
• Motor Control
• Neuromuscular Adaptations
• +3 more

Dr. John Zettel is an Associate Professor at the University of Guelph, specializing in biomechanics and motor control of human movement. His research focuses on postural control, balance recovery, and the integration of voluntary movements with rapid compensatory stepping reactions, particularly in aging populations and clinical groups such as stroke survivors. Education : B.Sc. in Kinesiology from the University of Waterloo; M.Sc. and Ph.D. from the University of Toronto. His work examines how attention, visual feedback, and vestibular input modulate balance recovery strategies, with applications to fall prevention and mobility enhancement in older adults. Recent studies include vibrotactile feedback systems for sensory substitution and dual-task paradigms for assessing age-related declines in dynamic stability. Dr. Zettel's research is funded through grants focused on clinical rehabilitation and aging populations. He supervises graduate students, including MSc candidates like Cassidy, and teaches courses in biomechanics and biophysics at the Guelph-Humber campus.

• Biomechanics
• Motor Control
• Postural Control
• +3 more