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Hyung D. BaeView profile

Assistant Professor

• Polymer-based fiber optic sensors
• Bioinspired sensor systems
• 3D printed structures
• +3 more

Dr. Hyung D. Bae is an Assistant Professor in the Department of Mechanical Engineering at Howard University, affiliated with the College of Engineering and Architecture (CEA). He holds a Ph.D. from the University of Maryland (2013) and prior degrees from Yonsei University. His research focuses on polymer-based fiber optic sensors, bioinspired sensor systems, and 3D printed structures. He leads funded projects involving chemical detection, biological sensing, and 3D printed pressure vessels. **Education**: Ph.D., Mechanical Engineering, University of Maryland (2013) M.S., Mechanical Engineering, Yonsei University (2006) B.S., Mechanical Engineering, Yonsei University (2004) **Research Interests**: Dr. Bae specializes in micro/nano fabrication, optofluidics, and multi-functional sensors for biomedical applications. His work integrates optical systems with mechanical engineering to develop innovative sensing technologies. Recent projects include graphene-diaphragm-based acoustic sensors and diamond-based pressure sensors with advanced adhesives. **Awards & Recognition**: 2018 DARPA Young Faculty Award 2017 IEEE/OSA Top Reviewer Award 2012 Invention Disclosure Finalist (University of Maryland) **Teaching & Advising**: He teaches courses on MEMS, computer-aided engineering, and CAD design. Current funded research partners include DARPA, NSF, and DOE. His lab emphasizes collaborative projects using advanced simulation tools like Fusion 360 and Simscale. **Labs/Teams**: His lab focuses on interdisciplinary sensor development at the intersection of optics, mechanics, and materials science.

Garrick FormanView profile

Senior Lecturer

• Esports Biomechanics
• Ergonomics
• Neuromuscular Control
• +2 more

Dr. Garrick Forman serves as a Senior Lecturer in the Department of Kinesiology within Brock University's Faculty of Applied Health Sciences, where he conducts pioneering research in esports biomechanics and ergonomics. Holding a PhD in Neuromechanics and Ergonomics from Brock, he focuses on optimizing gamer performance while mitigating injury risks through industry partnerships with GM Canada, NotionMedical, and Waterloo Regional Police. His educational background includes: PhD in Neuromechanics and Ergonomics, Brock University Forman's research centers on esports biomechanics, neuromuscular control of the distal upper limb, and fatigue-induced motor performance degradation. His work integrates advanced biomechanical analysis with practical ergonomic solutions, particularly addressing repetitive strain in gaming contexts. Recent studies employ robotics for precise movement quantification and examine sex-specific responses to physical demands, reflecting a multidisciplinary approach to human performance optimization. Analysis of his 15 most recent publications (2025-2020) reveals a dominant focus on upper extremity biomechanics in gaming and occupational settings, with emerging trends in corticospinal excitability assessment and robotic movement analysis. His research consistently bridges laboratory findings with real-world applications through industry collaborations, emphasizing injury prevention and performance enhancement in both esports and traditional athletic domains. Dr. Forman's scholarly contributions have earned significant recognition: ISEK John V. Basmajian Memorial Award NSERC Canada Graduate Scholarship – Doctoral CIHR Banting & Best Scholarship In academic service, he teaches Clinical Biomechanics, Motor Control, Motor Learning, and Balance and Gait courses. While specific grant funding details aren't publicized, his industry partnerships indicate applied research support. His mentorship extends to laboratory instruction though formal graduate student supervision isn't documented. Current research leverages wrist robotics and electromyography to develop evidence-based ergonomic guidelines for gamers and professionals. His laboratory work operates at the intersection of sports science and human-computer interaction, utilizing motion capture and robotic systems to translate biomechanical insights into practical interventions for pain reduction and performance optimization in high-demand motor tasks.

• Balance Control
• Neural Mechanisms
• Motor Behavior
• +5 more

Allan Adkin, PhD, is a Professor in the Department of Kinesiology at Brock University, within the Faculty of Applied Health Sciences. His research focuses on understanding the neural mechanisms underlying balance control, including interactions between emotional, cognitive, and sensory-motor systems. This work aims to develop strategies for assessing and managing balance deficits in older adults and individuals with musculoskeletal or neurological conditions. Research interests include the effects of anxiety and fear on balance strategies, attention focus during balance tasks, and the impact of balance training on psychological outcomes. Dr. Adkin’s work has explored methodologies to evaluate discrepancies between perceived and actual balance capabilities, particularly in aging populations. He is professionally affiliated with the International Society for Posture and Gait Research (ISPGR). Teaching responsibilities include courses such as Foundations of Motor Behaviour, Balance and Gait, and Neural Control of Posture, Balance, and Gait. His publications span interdisciplinary topics in biomechanics, neuroscience, and rehabilitation, with a focus on translating findings into clinical applications.

Niels AageView profile

Associate Professor

• Topology Optimization
• Acoustics and Vibroacoustics
• Biomechanics
• +5 more

Niels Aage is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on topology optimization, biomechanics, and multiphysics modeling, with applications in acoustic devices, biomedical implants, and microelectromechanical systems (MEMS). He holds roles such as Vice President of the International Society for Structural and Multidisciplinary Optimization (2023–2027). Education and Professional Background: Conducted a 5-month research visit at the University of Colorado, Boulder (USA) in 2010. Specializes in giga-scale numerical modeling, finite element methods, and topology optimization algorithms. Research Interests: Develops novel methods for topology optimization of fluidic, thermal, and acoustic systems. Explores applications in patient-specific spinal implants, metamaterials with vibroacoustic bandgaps, and nonlinear dynamic substructuring. His work integrates machine learning and reduced-order modeling for efficient simulation. Publications: Over 100 peer-reviewed articles, including recent contributions on connectivity promotion in topology optimization (2025), vibroacoustic metamaterial design (2025), and anatomically conforming spinal fusion cages (2024). Research emphasizes high-resolution modeling and bridging computational design with additive manufacturing. Scientific Awards: ISSMO Haftka Young Investigator Award (2021), Equinor Prize 2020, and Hyperion Innovation Excellence Award (2017). Recognized for contributions to structural optimization and computational mechanics. Advising and Grants: Supervises multiple PhD projects, including work on vibroacoustic shape optimization, quantum-opto-mechanical systems, and smart hearing aid modeling. Engages in collaborative projects funded by industry and academia. Labs/Teams: Collaborates with DTU’s Solid Mechanics group and industry partners on projects involving topology optimization, multiphysics simulation, and biomedical engineering. Active in international conferences and serves on editorial boards.

Jonathan FarthingView profile

Professor

• Neuromuscular Physiology
• Cross-education Effects
• Biomechanics
• +5 more

Dr. Jonathan Farthing is a Professor in the College of Kinesiology at the University of Saskatchewan, where he conducts research focused on human performance, healthy aging, management of chronic conditions, and neuromuscular physiology. His work centers on adaptations to acute and chronic strength training, with particular expertise in "cross-education" effects—where training one limb enhances strength in both trained and untrained limbs. His recent research has expanded into clinical applications of cross-education following injuries. Dr. Farthing earned his academic credentials entirely from the University of Saskatchewan: a B.Sc. in Kinesiology (1999), M.Sc. in Kinesiology (2002), and Ph.D. in Kinesiology (2006). His research spans several key areas including neuromuscular adaptations, biomechanics & motor control, bone health, and clinical applications of cross-education effects. His work often examines neuroimaging adaptations to eccentric exercise training and the mechanisms behind strength transfer between limbs. His extensive publication record shows consistent scholarly output since 2003, with recent emphasis on clinical applications of cross-education, adaptations to unilateral training across age groups, and nutritional interventions for performance enhancement. His work bridges fundamental neuromuscular physiology with practical clinical rehabilitation applications, particularly for ACL reconstruction patients and those recovering from limb immobilization. Dr. Farthing teaches several courses at the University of Saskatchewan including KIN 808.3 (Data Analysis in Kinesiology), KIN 226.3 (Exercise Physiology II), and honors thesis courses (KIN 490.3 and KIN 494.6). His teaching reflects his research expertise in exercise physiology, data analysis, and research methodology within kinesiology.

Ying ChenView profile

Assistant Professor

• Tissue Engineering
• Regenerative Medicine
• Biomedical Engineering
• +4 more

Ying Chen serves as Research Assistant Professor in the Department of Biomedical Engineering within Tufts University's School of Engineering. Her laboratory develops advanced 3D in vitro tissue models of human intestine using silk scaffolds and intestinal organoids to mimic native structure and function. Ph.D. in Biomedical Science and Engineering, University of Maine (2013) M.S. in Environmental Toxicology, Xiamen University (2007) B.S. in Environmental Science, Fujian Normal University (2004) Her research focuses on tissue engineering and regenerative medicine , specifically creating human intestinal models that maintain mucus layers and oxygen gradients. These models enable studies of inflammatory bowel disease, drug delivery mechanisms, nanotoxicity effects, and microbial infections. Her work bridges biomaterials science , organoid technology , and translational medicine , with recent publications emphasizing silk-based protective coatings and cultivated meat applications. Analysis of her publication record (2022-2026) reveals strong emphasis on silk protein biomaterials for cellular protection and tissue modeling, with growing applications in sustainable food technology. Key thematic areas include intestinal disease modeling (32% of recent work), silk-based cell encapsulation (28%), and novel imaging techniques for engineered tissues (15%). Dr. Chen actively secures competitive research funding, including a National Science Foundation grant for 'Dynamic protein-based biomaterial designs for bionic coatings' (2021-2024) and industry collaboration with Sofregen Medical Inc. Her teaching portfolio consistently features 'Tissue Engineering Research Lab' courses since 2019, training students in advanced biomaterial techniques. Her laboratory maintains two key patents: 'Innervated artificial intestine compositions' (2017) and 'Microphysiologic methods and compositions' (2014), demonstrating translational impact beyond academic publications.

Jason FanningView profile

Assistant Professor

• Physical Activity Behavior Change
• mHealth Technology
• Gerontology
• +4 more

Jason Fanning, PhD, is an Assistant Professor in the Department of Health and Exercise Science at Wake Forest University, with a secondary appointment in Internal Medicine, Gerontology and Geriatric Medicine at Wake Forest School of Medicine. He completed his undergraduate degree and PhD in Kinesiology at the University of Illinois at Urbana-Champaign, followed by post-doctoral training at the Wake Forest Sticht Center on Aging. Dr. Fanning joined Wake Forest University in July 2019. His research specializes in technology-driven interventions for health behavior change in older adults, focusing on physical activity, diet, and chronic pain management. Key methodologies include ecological momentary assessment, mHealth applications, and randomized controlled trials. Major projects include: MORPH : mHealth-supported pain/weight management for obese older adults Time to Move : Examining real-world movement impacts on inflammation and glucose regulation ReSHAPE : Investigating stress-physical activity relationships via smartphone monitoring Dr. Fanning teaches undergraduate and graduate courses in Health Psychology (HES 312 & 733) and Statistics in Health Sciences (HES 262 & 721). He directs the Behavioral Medicine Lab, developing interventions for aging populations. His 15 most recent publications (2025) demonstrate consistent focus on: Technology-enhanced geriatric interventions Physical activity-pain relationships Novel assessment methods (accelerometry, ecological momentary assessment) Randomized trials for chronic conditions (dementia, obesity, MS) Mechanistic studies of aging physiology

Michael ColeView profile

Professor

• Biomechanics
• Movement Disorders
• Parkinson's Disease
• +2 more

Michael Cole is Professor and Associate Dean (Research) for the Faculty of Health Sciences at Australian Catholic University, leading the Development and Disability over the Lifespan program. He specializes in assessing balance, mobility, and neuromuscular function using high-technology systems in healthy populations and people with neurological impairments. His research examines: Postural instability, gait disability and falls in Parkinson's disease Safety and efficacy of invasive (DBS) and non-invasive therapies Biomechanics of movement disorders Cole has led major projects including an NHMRC Early Career Researcher Fellowship investigating trunk control in Parkinson's disease and contributed to NHMRC-funded gait assessment projects. He collaborates with clinicians to ensure research translation to improved Parkinson's care. His publications demonstrate consistent focus on Parkinson's disease biomechanics with recent expansion into developmental coordination disorder, cerebral palsy, and advanced movement analysis technologies.

• Machine Learning
• Pain Assessment
• Neurophysiological Sensors
• +5 more

Raul Fernandez Rojas is an Associate Professor in the Department of AI and Robotics at the University of Canberra. His research focuses on multimodal neurophysiological sensing, machine learning applications in healthcare, and pain assessment using technologies like fNIRS, EEG, and facial expression analysis. He leads projects integrating brain-body interactions in neurological disorders such as Parkinson's disease and dementia, and develops intelligent systems for driver distraction detection. Education: PhD (details unspecified) Research interests include cognitive workload analysis, sensor fusion for biomedical applications, and AI-driven diagnostics for mental and neurological conditions. His work spans clinical pain assessment, human-swarm interaction, and real-time monitoring systems. He has contributed to over 55 peer-reviewed publications and actively supervises PhD candidates in machine learning for neurophysiological applications. Current projects include a dementia detection initiative using machine learning and exercise interventions, funded from 2024–2026. He collaborates internationally on topics like head motion patterns for depression biomarkers and fNIRS-based pain assessment for non-verbal patients. Advising focuses on PhD projects involving neurophysiological sensors (EEG, fNIRS, etc.) and facial expression analysis for pain recognition. Grants include funding for multimodal signal fusion research and wearable sensor systems.

Spitas VasiliosView profile

Professor

• Gear Dynamics
• Additive Manufacturing
• Mechanical Design Optimization
• +7 more

Spitas Vasilios is a Professor at the National Technical University of Athens (NTUA), affiliated with the School of Mechanical Engineering and the Department of Mechanical Engineering & Automatic Control. His research focuses on gear dynamics, additive manufacturing, computational modeling, thermal systems, and educational pedagogy in engineering. He leads projects involving advanced gear technologies, material science applications, and sustainable energy systems. His work integrates experimental, analytical, and numerical methods to address challenges in mechanical design and industrial applications. Key research areas include optimizing gear performance through bio-inspired surface texturing, developing novel clutch systems, and enhancing 3D printing precision. He explores interdisciplinary topics like energy-efficient Ericsson engines and hyper-damping systems. His contributions to engineering education emphasize active learning strategies and project-based curricula. His recent publications analyze magnetic gear dynamics, additive-manufactured components, and educational innovations. He collaborates on international projects, such as the HEV Ventilator initiative, merging biomedical and mechanical engineering.

• Biofluid Mechanics
• Biomedical Engineering
• Medical Devices Design
• +3 more

Christos Manopoulos is an Assistant Professor at the School of Mechanical Engineering, National Technical University of Athens (NTUA), Greece, within the Fluids Section. His roles include Director of the Biofluid Mechanics & Biomedical Technology Laboratory and Health and Safety Officer for the Fluid Mechanics Section. He holds a PhD in Biomedical Engineering (2009) and M.Sc.E. in Biomedical Engineering (1999) from NTUA and University of Patras, alongside a Mechanical Engineering Diploma (1995). Professional Experience: Includes senior researcher roles, postdoctoral fellowships, and teaching positions at multiple institutions since 1998. Research Focus: Biofluid mechanics, biomedical device design, and cardiovascular hemodynamics. Specializes in computational modeling of valveless pumping, arterial wall mechanics, and endovascular repair systems. His work integrates experimental, theoretical, and computational methods. Key Research Trends: Recent articles emphasize patient-specific computational studies of aortic aneurysms, novel biomedical device designs, and fluid dynamics in medical systems. Topics include finite element analysis, peristaltic pumps, and pulsatile flow modifications. Awards: Doctoral Excellence (2009), Thomaideio awards (2012, 2005–2010), and a patent for a mechanical ventilator component (2021). Labs/Teams: Leads the Biofluid Mechanics Lab at NTUA, focusing on translational biomedical engineering and computational modeling.

Michael S. BranickyView profile

Professor

• Cyber-Physical Systems
• Internet of Things
• Artificial Intelligence
• +5 more

Michael S. Branicky is Professor of Electrical Engineering & Computer Science (EECS) at the University of Kansas School of Engineering. Previously serving as KU's Dean of Engineering from July 2013 to June 2018, he maintains active research leadership following his tenure as professor and chair at Case Western Reserve University (CWRU) since 1996. His research spans Cyber-Physical Systems/IoT , Artificial Intelligence , Machine Learning , and Robotics , with particular expertise in switched and hybrid control systems. His work bridges theoretical control theory with practical applications in rehabilitation engineering and autonomous systems, evidenced by his h-index of 40 and nearly 17,000 citations. Recent publications demonstrate strong focus on reinforcement learning for human-robot interaction and cyber-physical systems. His editorial leadership in IEEE Transactions reflects his standing in the CPS community. Notable funding includes NSF awards for Active Sensing in Deformable Environments and CPS Week support. Fellow, IEEE (2016) NSF Director's Award for Collaborative Integration (2012) NSF Director's Superior Accomplishment Award (2010) Walter R. Fried Memorial Best Paper Award (2010) Multiple teaching awards at CWRU and Case School of Engineering Branicky leads significant research initiatives including the IUCRC Center for High-Assurance Secure Systems and IoT (CHASSI) and NRT-HDR: Internet of Catalysis. His laboratory work focuses on image-guided interventions and deformable environment mapping, supported by over $1 million in NSF funding.

Isaac PenceView profile

Assistant Professor

• Translational Biophotonics
• Raman Spectroscopy
• Medical Device Development
• +3 more

Dr. Isaac Pence is an Assistant Professor at UT Southwestern Medical Center's Department of Biomedical Engineering, with secondary appointments in Internal Medicine and the Charles and Jane Pak Center for Mineral Metabolism. He also holds an Adjunct Assistant Professor role at UT Dallas' Bioengineering Department. His research focuses on developing optical tools for non-invasive disease characterization and therapeutic monitoring, integrating biophotonics, computational analysis, and clinical medicine. Dr. Pence's work includes advancements in Raman spectroscopy for drug distribution analysis, tissue engineering, and cryoneurolysis devices for pain management. He completed his PhD at Vanderbilt University and postdoctoral training at Imperial College London and Harvard Medical School. Research interests span label-free quantitative tissue mapping, translational biophotonics, and biomarker heterogeneity analysis. His lab develops clinical instruments such as portable Raman systems for in vivo imaging and theranostic platforms. Recent work addresses pelvic organ prolapse via ECM composition analysis and cryotherapy device innovation. Collaborations include UT Dallas and the Texas Instruments Biomedical Engineering and Sciences Building. Key projects include Raman-guided surgical tools, nanocarrier design, and extracellular vesicle biomarker detection. His contributions have led to funded grants and patents, though specific award names are not listed. The Pence lab actively trains graduate students and postdocs in biophotonics and biomedical engineering.

• Motor Learning
• Sensory-Motor Integration
• Proprioception
• +3 more

Liana E. Brown is an Associate Professor in the Department of Psychology at Trent University. She holds degrees from the University of Waterloo (B.Sc., M.Sc.) and Pennsylvania State University (M.S., Ph.D.). Her research focuses on sensory-motor integration, exploring how vision, perception, and motor control interact during everyday tasks. Key interests include motor learning, proprioception, and the neural mechanisms underlying action-perception interactions. Dr. Brown’s research program investigates four core questions: 1) How hand use enhances vision/attention, 2) Limb spatial tracking mechanisms, 3) Motor capabilities’ influence on cognition, and 4) Observational motor skill acquisition. Her work bridges neuroscience, biomechanics, and clinical applications. She advises up to 2 Honours thesis students and 2 practicum students annually (2025-26 onward). Her lab (ACT Lab: https://actlab.squarespace.com/ ) explores motor learning, tool use, and neurorehabilitation strategies. Notable collaborations include studies on concussion assessment, Parkinson’s gait analysis, and motor skill development in cerebral palsy patients.

• Biomechanics
• Exercise Physiology
• Machine Learning
• +7 more

Dylan Kobsar is an Associate Professor in the Department of Kinesiology at McMaster University . His research focuses on making biomechanics and human movement analyses more accessible and real-world relevant through wearable inertial sensor technology. Primary Research Areas Biomechanics Exercise Physiology Machine Learning Rehabilitation Sciences His work has been funded by the Labarge Catalyst Grant in Mobility in Aging , Ontario Research Fund , and Early Researcher Awards Program . He develops machine learning models for clinical gait analysis and musculoskeletal disorder tracking. Recent Scientific Contributions Markerless motion capture validation Wearable sensor-based osteoarthritis monitoring Biomechanical asymmetry detection in athletes Accelerometer data for frailty assessment Pain phenotype analysis in arthritis Dylan teaches courses including: Advances in Biomechanics and Human Movement Analyses Scientific Computing and Wearable Technology Neural Control of Human Movement