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Professor Stephen Beeby is a leading academic at the University of Southampton in the Electronics and Computer Science department. His research spans Electronic Textiles , Flexible Electronics , and Energy Harvesting technologies. Research Focus: His work emphasizes the integration of smart printable materials into fabrics, enabling invisible wearable technologies . Projects include energy-harvesting insoles , skin hydration sensors , and thermoelectric devices for sustainable power. Recent Publications highlight advancements in zinc oxide nanoparticle films , flexible antennas , and gold-tooled e-textile circuits , reflecting his interdisciplinary approach to biomedical monitoring and smart clothing . Scientific Honors: Royal Academy of Engineering Chair in Emerging Technologies Fellow of IEEE (FIEEE) Fellow of Institute of Physics (FInstP) Fellow of Institution of Engineering and Technology (FIET) PhD Students: Supervising 10 active PhD candidates in areas like flexible sensors , smart garments , and energy-harvesting systems . Labs & Collaborations: Core member of the Centre for Flexible Electronics and E-Textiles (C-FLEET) and collaborates with European Union-funded initiatives like EnABLES and TEAM-NANO .

• Electronic Textiles
• Flexible Electronics
• Smart Materials
• +4 more

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.

• Neurorehabilitation
• Neuroprosthetics
• Functional Electrical Stimulation (FES)
• +12 more

Dr. Andrew Cornwell is an Adjunct Assistant Professor in the Department of Biomedical Engineering at Case Western Reserve University’s Case School of Engineering. He serves as the Associate Director of the Case-Coulter Translational Research Partnership (CCTRP) and Director of the Case-Cleveland Incubator in the Office of Strategic Partnerships. Additionally, he holds the role of Director for Industrial and Strategic Collaborations at the Cleveland FES Center, bridging academic research with industry and clinical applications across the School of Medicine and School of Engineering. Dr. Cornwell earned his PhD in Biomedical Engineering from Case Western Reserve University. His early research focused on brain recording and neurotechnology, later transitioning to advancing technology transfer and translational research strategies. His research interests center on neurotechnology, particularly functional electrical stimulation (FES) systems for rehabilitation and clinical applications. He specializes in accelerating the translation of academic innovations into practical healthcare solutions, focusing on aligning clinical needs, market demands, and research priorities. Key areas include neuroprosthetics, assistive technologies for paralysis, and strategic partnerships to enhance technology commercialization. Dr. Cornwell’s publications highlight advancements in neurotechnology, including studies on FES systems, brain-computer interfaces, and clinical assessment tools. His work from 2010–2013 emphasizes improving arm mobility for individuals with paralysis, while earlier research (e.g., 2004) explores neural network approaches to predict movements using electrocorticography (ECoG). While no scientific awards were listed in the provided information, his roles involve managing grants and strategic collaborations through the CCTRP and Cleveland FES Center to fund translational research projects. He is affiliated with the Cleveland FES Center and the Case-Coulter Translational Research Partnership, leading initiatives to commercialize neurotechnology and biomedical innovations.

• Biomedical Engineering
• Neurotechnology
• Functional Electrical Stimulation
• +3 more

Chris Freeman is a Professor of Robotics and Control at the University of Southampton's Electronics and Computer Science (ECS) school. His research focuses on iterative learning control theory, biomedical engineering, and robotics with applications in industrial automation and healthcare. As Deputy Head of School (Equity, Diversity and Inclusion) and Chair of the ECS Belonging, Inclusion, Diversity and Equity (BIDE) Committee, he drives initiatives promoting inclusive academic environments. Freeman leads multidisciplinary research projects such as "Towards intelligent, pervasive, high performance control system architectures" "Elder Athletes: building incidental interaction at home" "Low-cost personalised instrumented clothing with integrated FES electrodes" . His work combines robotics, functional electrical stimulation (FES), and wearable technologies to develop rehabilitation systems for stroke patients and industrial automation solutions. His recent publications demonstrate expertise in iterative learning control (ILC), model predictive control, and biomedical applications. Research groups include: Digital Health and Biomedical Engineering Institute for Life Sciences Centre for Health Technologies Centre for Robotics

• Iterative Learning Control
• Repetitive Control Theory
• Biomedical Engineering
• +7 more

Dr. Eric Meyers is an Assistant Professor in the Department of Bioengineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He holds a Ph.D. in Biomedical Engineering and dual Bachelor's/Master's degrees in Electrical Engineering from the same institution. His research focuses on closed-loop neurotechnology, neuromodulation, and bioelectronic medicine to enhance recovery from nervous system injuries. Key projects include developing wearable EMG sleeves for stroke rehabilitation and closed-loop neuromodulation systems to restore motor function. Education: B.S. (2012), M.S. (2018), Electrical Engineering; Ph.D. (2017), Biomedical Engineering – all from UTD His research interests span machine learning applications in neurorehabilitation, biomarker discovery for neurological conditions, and clinical translation of bioelectronic therapies. Recent work emphasizes wearable devices for real-time motor function assessment and neuromodulation-driven recovery strategies. Publications highlight advancements in EMG-based neural interfaces, closed-loop algorithms for stroke therapy, and innovative FES systems. His lab actively collaborates on projects funded by NIH and industry partnerships, with a focus on translating technologies to clinical settings.

• Closed-loop neurotechnology
• Neuromodulation
• Machine learning
• +4 more

Jaynie Yang, PhD, is a full Professor in the Department of Physical Therapy, Faculty of Rehabilitation Medicine at the University of Alberta, where she has served since January 1990. She additionally holds adjunct appointments in the Department of Biomedical Engineering and is an active member of the Neuroscience & Mental Health Institute and the Women and Children’s Health Research Institute. She has previously acted as Graduate Coordinator for the thesis-based MSc and PhD programs and as Acting Chair of the Department of Physical Therapy. Education Post-doctoral Fellowship, Neuroscience, University of Alberta (1987–1989) PhD, Kinesiology, University of Waterloo (1987) BSc, Physical Therapy, Queen’s University (1978) Research Interests Dr. Yang’s research centres on how the nervous system controls human walking and how this control is altered following injury to the central nervous system. She investigates three inter-related themes: (1) neural mechanisms underlying gait control in healthy humans and how these are disrupted by spinal cord injury or perinatal brain injury; (2) optimization of task-specific training paradigms—such as intensive early therapy in infants with perinatal stroke or powered exoskeleton training in adults with spinal cord injury—to drive neuroplasticity and improve walking; and (3) developmental aspects of motor learning, comparing how children and adults acquire and retain novel walking patterns on split-belt treadmills. Recent Publication Trends Over the past decade her team has produced a high-impact portfolio that blends mechanistic studies of neural plasticity with pragmatic clinical trials. Common keywords across recent papers include “perinatal stroke,” “cerebral palsy,” “spinal cord injury,” “powered exoskeleton,” “functional electrical stimulation,” and “neuroplasticity.” The work spans bench-to-bedside translation, from rodent studies of critical periods through multi-centre randomized controlled trials evaluating early intensive rehabilitation protocols in infants and gait-retraining paradigms in adults. Current Studies & Funding Multi-centre RCT (Edmonton & Calgary) examining early, intensive leg training in children Cohort studies investigating cortical and spinal neuroplasticity induced by powered exoskeleton (ReWalk, Ekso) training in adults with chronic SCI. Split-belt treadmill studies comparing motor learning retention across children, young adults, and older adults. Laboratory & Team Dr. Yang leads an interdisciplinary group that integrates neurophysiology, biomechanics, and clinical rehabilitation. The lab is embedded within the University of Alberta’s Neuroscience & Mental Health Institute and has active collaborations with the Glenrose Hospital, Alberta Children’s Hospital, and Children’s Hospital of Eastern Ontario. At present she mentors one graduate student and is not accepting additional trainees for the upcoming cycle. Teaching She is the instructor for PTHER 500 – Movement Analysis, a core course in the MScPT curriculum covering mechanical and analytical concepts essential for physical therapy practice (scheduled for Fall Term 2025).

• Neural control of human walking
• Neuroplasticity after central nervous system injury
• Rehabilitation of spinal cord injury
• +4 more

Carlos Cifuentes is an Associate Professor in Human-Robot Interaction at the Bristol Robotics Laboratory (BRL) , part of the University of the West of England (UWE Bristol) . He also serves as the Deputy Director of the VIVO Hub , a £13.4M UK-funded research initiative (2024-2030) focused on robotics for rehabilitation and healthcare. His research spans Human-Robot Interaction , Rehabilitation Robotics , Healthcare Robotics , and Socially Assistive Robotics , with applications for conditions such as cardiac diseases , post-stroke recovery , spinal cord injuries , cerebral palsy , Parkinson's disease , musculoskeletal disorders , and autism spectrum disorder (ASD) . Carlos has over 15 years of experience and 200+ publications in robotics for rehabilitation and assistive technologies. His recent work explores smart walkers with multimodal feedback, soft prosthetics using polymeric optical fiber sensors , and machine learning models for fatigue and stress estimation. He also investigates inclusive design for social robots in global contexts , including a CASTOR Robot for ASD therapy and collaborative design processes with Colombian communities. Carlos serves as an Associate Editor for IEEE Robotics and Automation Magazine (since 2021), ICRA , and IROS (since 2023). He leads projects integrating wearable sensors , deep learning , and haptic feedback to enhance mobility, autonomy, and quality of life for individuals with disabilities. As Deputy Director of the VIVO Hub, he focuses on long-term deployment of robotic systems in real-world healthcare settings, emphasizing collaboration with clinicians , caregivers , and neurodiverse communities . His work bridges robotics , biomedical engineering , and human-centered design .

• Human-Robot Interaction
• Rehabilitation Robotics
• Socially Assistive Robotics
• +7 more

Lee Miller is a Professor of Physiology, Physical Medicine & Rehabilitation, and Biomedical Engineering at the University of Chicago. His research focuses on understanding how the brain encodes movement commands through neural signals, with applications in developing brain-machine interfaces (BMIs) to restore motor function in paralyzed patients. His work integrates neuroscience, engineering, and computational methods to study neural networks in motor systems. Key research areas include decoding cortical signals to predict muscle activity, developing closed-loop BMIs, and investigating functional connectivity in neural circuits. Miller collaborates extensively with the Biomedical Engineering Department and the Interdepartmental Neuroscience Program (NUIN). His lab combines experimental approaches (e.g., chronic neural recordings) with computational tools to study neural dynamics and develop therapeutic technologies. Recent work emphasizes restoring hand function via cortically controlled functional electrical stimulation (FES), translating neural signals into muscle activation. His publications span neural decoding algorithms, sensory feedback systems, and the neurobiology of motor control. Miller’s contributions bridge fundamental neuroscience and clinical neuroengineering, with potential impacts on spinal cord injury rehabilitation and prosthetic control systems.

• Motor Control
• Neural Networks
• Brain-Machine Interfaces
• +3 more

Max Cohen is a Postdoctoral Scholar Research Associate in the Department of Mechanical and Civil Engineering at the California Institute of Technology (Caltech). His research focuses on safety-critical control systems, adaptive control, and the integration of control barrier functions with reinforcement learning. He explores theoretical frameworks for robust control design in nonlinear systems, emphasizing safety guarantees through formal verification methods. His work addresses challenges in automated vehicle navigation, hybrid systems, and rehabilitation engineering using functional electrical stimulation (FES). Key research directions include uncertainty quantification in adaptive systems, layered control architectures, and safe exploration strategies in model-based reinforcement learning. Publications span topics like control barrier function synthesis, temporal logic-guided learning, and reduced-order modeling for safety-critical applications. Current research trends emphasize bridging formal methods with data-driven control paradigms to ensure safe operation in complex robotic and cyber-physical systems. No scientific awards or grants are explicitly mentioned in the provided information. His office is located in Gates-Thomas Laboratory (Room 300), and he actively contributes to interdisciplinary projects at Caltech's engineering division.

• Control Systems
• Robotics
• Artificial Intelligence
• +3 more

Josep M. Font-Llagunes is a Full Professor of Mechanical Engineering at the Polytechnic University of Catalonia (UPC), where he leads the Biomechanical Engineering Lab (BIOMEC) within the Research Centre for Biomedical Engineering (CREB). His work bridges engineering and clinical rehabilitation, focusing on robotics, biomechanics, and computational modeling for human movement disorders. His research interests include rehabilitation robotics, biomechanics of human movement, multibody system dynamics, gait analysis, wearable exoskeletons, and neuromuscular rehabilitation. He employs advanced computational techniques to model human motion and optimize assistive devices, with a strong emphasis on clinical translation. The trends in his recent publications highlight a focus on predictive simulation of human movement, clinical evaluation of exoskeletons, musculoskeletal modeling, and upper limb assessment in neuromuscular diseases. His work integrates biomechanical modeling with wearable sensor technology and virtual reality to enhance rehabilitation outcomes. Agustín de Betancourt y Molina Medal by the Royal Academy of Engineering (2017) OpenSim Outstanding Researcher Award (2018) He actively mentors students and collaborates on numerous research projects involving PhD candidates and postdoctoral researchers. His lab conducts clinical trials and develops novel computational protocols for prosthetic alignment, exoskeleton control, and muscle force estimation. The Biomechanical Engineering Lab (BIOMEC) at UPC is a key hub for innovation in rehabilitation technology, focusing on personalized, evidence-based solutions for gait and upper limb rehabilitation.

• Rehabilitation Robotics
• Biomechanics of Human Movement
• Multibody System Dynamics
• +12 more

Aldo Faisal is a Professor of AI & Neuroscience at Imperial College London's Department of Bioengineering and Faculty of Engineering. He is also the Founding Director of the UKRI Centre for Doctoral Training in AI for Healthcare (£20M), leading the Faisal Lab. His roles include associate investigator at the MRC London Institute of Medical Sciences and affiliation with the Gatsby Computational Neuroscience Unit (UCL). His research bridges AI, neuroscience, and healthcare, focusing on neurotechnology, human behavior analysis, and clinical applications. Education: Studied Computer Science and Physics in Germany, followed by Biology at the University of Cambridge (Emmanuel College). Earned a PhD in Neuroscience under Simon Laughlin, and postdoctoral work with Daniel Wolpert on sensorimotor control. Prior professional experience includes roles at McKinsey & Co. and Credit Suisse. Research Interests: Combines cross-disciplinary approaches to study brain-behavior relationships, developing technologies for neurological disorders and amputees. Key labs include the Brain & Behaviour Lab (neurotechnology) and Behaviour Analytics Lab (behavioral data science). Techniques include machine learning, robotics, and neuroimaging (EEG/fNIRS). Publications: Over 100+ peer-reviewed articles, spanning AI in healthcare, motor learning, and neurotechnology. Recent work emphasizes safety of AI in critical care, wearable biomarkers for neuromuscular diseases, and human-AI collaboration. Awards: UKRI Turing AI Fellowship, Toyota Mobility Prize ($50k), Rosetree Interdisciplinary Award (£300k), and fellowships from German National Merit Foundation and Böhringer-Ingelheim Foundation. Elected to Global Futures Council (WEF, 2016). Grants & Labs: Leads £20M CDT in AI for Healthcare, £2M Turing Fellowship project, and manages labs at Imperial and University of Bayreuth (Germany). Collaborates with institutions like CRUK Convergence Science Centre and Data Science Institute.

• AI & Neuroscience
• Biomedical Engineering
• Neurotechnology
• +7 more

Dr. Alejandro Melendez-Calderon is a Senior Lecturer at the University of Queensland (UQ), holding dual affiliations with the School of Electrical Engineering and Computer Science (primary appointment) and the School of Health and Rehabilitation Sciences. He also serves as a Principal Research Fellow at the Jamieson Trauma Institute, leading the Rehabilitation and Outcomes theme. With over 19 years of interdisciplinary experience in robotics, biomedical engineering, and clinical research, his work focuses on human augmentation technologies, neuromuscular control, and neurorehabilitation engineering. He earned his PhD in Robotics and Biomedical Engineering from Imperial College London (2011) and has held roles at institutions such as Northwestern University, ETH Zurich, and industry leader Hocoma AG. His lab, the NeuroEngineering, Rehabilitation and Medical Robotics Lab at UQ, develops innovative solutions for movement disorders, wearable robotics, and sensorimotor rehabilitation. Research interests include human-robot interaction strategies, computational modeling of motor control deficits, and clinical translation of assistive technologies. His recent work emphasizes adaptive robotic systems for gait training, competition-driven physical effort modulation, and sensor-based assessments for stroke and spinal cord injury populations. Publications highlight contributions to movement smoothness metrics, robotic exoskeleton control algorithms, and interdisciplinary frameworks for sensorimotor evaluation. Collaborations span academic, clinical, and industrial partners to bridge engineering innovation with clinical needs.

• Neurorehabilitation Engineering
• Biomedical Robotics
• Human Sensorimotor Control
• +3 more

Dr. Glenn Matthews is a Senior Lecturer in the School of Engineering at RMIT University, specialising in Electrical and Computer Engineering. He holds positions in both academic and research capacities, including Principal Investigator roles at CSIRO and Smart Services CRC. His teaching responsibilities include coordinating undergraduate courses such as Introduction to Engineering Computing and Engineering Design modules. Dr. Matthews' research focuses on high-performance computing, acoustic wave device modeling using Finite Element Method (FEM), and embedded system design. Notable projects include developing FEM software for SAW device analysis and investigating asynchronous computing architectures for high-throughput systems. He has supervised numerous research projects spanning machine learning applications in clinical analysis, gas sensing technologies, and neuromorphic learning. His work integrates hardware-software co-design principles, with contributions to radar SLAM systems, mercury vapor sensors, and neural network frameworks like SwiftSpike. Dr. Matthews collaborates with industry partners through ARC Linkage Grants and maintains affiliations with IEEE and DSP/Embedded Systems groups. His research outputs include over 20 peer-reviewed articles, with impactful contributions to sensor technology, circuit design, and biomedical applications.

• High-performance computing
• Modelling of Acoustic Wave devices
• Embedded system design
• +3 more

William Holderbaum is a Professor at the Department of Electrical Engineering, School of Engineering, University of Reading. His research spans control systems, energy management, functional electrical stimulation, robotics, and wireless power transfer, with over 95 publications since 2002. Research Interests: His work integrates theoretical control theory with practical applications in renewable energy, biomedical engineering, and smart systems. He has made significant contributions to microgrid protection, energy storage control, optimal power management for electric cranes, and FES for paraplegia rehabilitation. His recent work explores soft robotics using electroactive polymers and intelligent sensing for environmental and health monitoring. Publication Trends: His recent articles (2021–2025) reflect a multidisciplinary focus, combining engineering, materials science, and healthcare. Key themes include sustainable energy systems, intelligent control, wearable sensors, and novel computing paradigms using smart materials. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He has collaborated extensively with researchers such as F. Alasali, T. Yunusov, M. Alkowatly, and V. Becerra, suggesting a strong mentoring role. His work on energy storage, smart grids, and FES implies involvement in funded research projects, though specific grants are not listed. Labs and Teams: He is part of research teams focused on control systems and energy at the University of Reading, collaborating with the group led by B. Potter and V. Becerra. His work with biomedical applications suggests ties to interdisciplinary health-tech initiatives.

• Control Systems
• Energy Management
• Functional Electrical Stimulation
• +12 more

Nicole Abaid is an Associate Professor in the Department of Mathematics at Virginia Tech, affiliated with the College of Science. Her research integrates dynamical systems, control theory, and robotics to study collective behavior in biological and engineered systems. She explores biologically-inspired models, such as bat swarms and brain networks, to develop applications in robotics and environmental monitoring. Her work combines agent-based modeling, network analysis, and data-driven approaches to understand interactions in animal groups and robotic systems. Notable projects include analyzing bat echolocation for acoustic sensing in robotics and studying stress effects in human crowd dynamics during emergencies. She has also contributed to piezoelectric energy harvesting and ex vivo muscle stimulation via Functional Electrical Stimulation (FES). Abaid’s research has been supported by grants like the NSF CAREER Award for collective behavior studies. She collaborates on interdisciplinary projects, including outreach programs in biomimetics and robotics for K-12 education. Her publications span journals and conferences, emphasizing applications in ecology, robotics, and control systems.

• Dynamical Systems
• Control Theory
• Multi-Agent Systems
• +5 more