Professor Andrew Jackson of Newcastle University is a leading researcher in neuroscience and neuroengineering, focusing on neural interfaces, optogenetics, and epilepsy. His work spans brain-computer interfaces, spinal cord stimulation, and sleep-dependent memory processes. Key research areas: closed-loop optogenetic systems, motor cortex dynamics, cerebellar-neocortical communication, and seizure pathway analysis. Collaborations with experts like Dr. Boubker Zaaimi, Professor Yujiang Wang, and Dr. Wei Xu. Develops implantable low-power platforms for real-time neural monitoring and stimulation. His recent publications highlight advancements in neuroprosthetics for motor recovery post-stroke/spinal injury, cortical chloride homeostasis in epilepsy, and mechanisms of brain self-regulation during movement and sleep. Technologies pioneered include flexible neural electrodes, temperature self-monitoring optoelectronics, and wearable bioelectrical signal systems. His work integrates computational neuroscience with clinical applications in motor disorders and epilepsy.
Dr. Jatin P. Ambegaonkar is a Professor in the School of Kinesiology, College of Education and Human Development at George Mason University, where he serves as Associate Dean for Research. He holds a PhD from the University of North Carolina Greensboro and is a Certified Athletic Trainer and Occupational Therapist. His translational research bridges laboratory science and community engagement to enhance performance, reduce injury risk, and improve health outcomes across populations. Research Focus: Dr. Ambegaonkar's work centers on interdisciplinary approaches to human movement, with emphasis on: Performing artists' health and injury epidemiology Biosensor applications in sports and dance Neuromechanical assessment and concussion management Falls prevention and quality of life in older adults Community-based health interventions for underserved populations His research vision— "Arts and Health for the Physically Active, Physical Activity for Health and Artists" —drives initiatives like the SMART Laboratory (co-founded in 2006) and the SHARe Consortium. Publications: His 80+ articles demonstrate consistent focus on injury mechanisms, dance science, and aging research, with recent emphasis on kinesiophobia (2024), multifactorial fall interventions (2024), and longitudinal dancer fitness (2023). Methodologies span systematic reviews, RCTs, biomechanical analyses, and community trials. Leadership & Grants: As founding co-director of the SMART Laboratory, he leads projects including: ACHIEVES: Free athletic healthcare for underserved students POISED: Falls prevention in older adults SHARe Consortium: Multidisciplinary injury prevention for artists He has secured $6.4M across 30 grants from the National Endowment for the Arts, Potomac Health Foundation, and others. Editorial Roles: Editor-in-Chief of the Journal of Dance Medicine & Science ; Editorial Board member for the Journal of Athletic Training ; reviewer for 25+ scientific journals.
Eadric Bressel is a Professor and Head of the Department of Kinesiology and Health Science at Utah State University (USU). He holds a PhD in biomechanics from the University of Northern Colorado and earned his B.S. and M.S. in kinesiology from California State University, Fresno. Prior to joining USU in 2000, he was a postdoctoral fellow at the Auckland University of Technology's health and rehabilitation center. Education: PhD in Kinesiology (Biomechanics), University of Northern Colorado, 1999 MA in Kinesiology (Exercise Science), California State University, Fresno, 1995 BS in Kinesiology (Exercise Science), California State University, Fresno, 1994 Research Interests: Dr. Bressel focuses on biomechanical adaptations to therapeutic exercise in healthy and clinical populations. His work emphasizes spine stabilization exercises, determinants of balance, and aquatic rehabilitation strategies for conditions like osteoarthritis. Recent studies explore the efficacy of aquatic environments for improving motor learning, cognitive performance, and functional outcomes in older adults. Key Research Trends: His publications highlight the biomechanical benefits of aquatic training, including its impact on muscle function, postural control, and injury prevention. Cross-disciplinary studies integrate biomechanics with gerontology and sports medicine, addressing aging populations and athletic performance optimization. Awards: Excellence in Aquatic Physical Therapy Research Award (APTA Aquatic Section, 2016) Researcher of the Year (HPER Department, 2012) Employee of the Year (Kinesiology & Health Science Department, 2017) Top Professor Award (Mortar Board Senior Honor Society, 2004) Advising & Grants: Dr. Bressel has mentored over 40 graduate students, many of whom have contributed to studies on aquatic exercise, balance rehabilitation, and sports biomechanics. He has secured grants to investigate aquatic treadmill training for osteoarthritis, cognitive-aquatic interaction effects, and eccentric resistance protocols. Labs/Teams: His lab focuses on translational research integrating biomechanical analysis with clinical applications. Collaborations with institutions like the Auckland University of Technology and the American Physical Therapy Association highlight his commitment to bridging research and practice in aquatic therapy and sports science.
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
Dr. Ahmed Badawy is a Lecturer in Electrical Engineering at Lancaster University's School of Engineering, where he has been serving since 2017. His academic journey includes advanced degrees in electrical engineering and significant research experience in power electronics and renewable energy systems. Dr. Badawy's educational background includes: B.Sc. in Electrical Engineering from the Faculty of Engineering, Alexandria University, Egypt (2008) M.Sc. in Electrical Engineering from the Faculty of Engineering, Alexandria University, Egypt (2012) Ph.D. in Electrical Engineering from the Electric and Electronic Engineering Department at the University of Strathclyde, Glasgow, U.K. (2016) Dr. Badawy's research focuses on power electronics and energy conversion systems, with particular expertise in DC-DC converters, multi-level converters, and electric machines. His work emphasizes digital control of power electronic systems for applications in renewable energy integration, electric vehicles, and power quality improvement. His research has significant implications for sustainable energy systems and transportation electrification. His recent publication record demonstrates a strong focus on electric vehicle power systems, particularly modular converter topologies for on-board charging applications. There's a clear trend toward integrated solutions for EV charging that combine renewable energy sources with grid connectivity. His work also shows significant contributions to control methodologies, including model predictive control and hierarchical control systems for power electronic converters. Dr. Badawy mentors several PhD students working on cutting-edge research in power electronics and renewable energy systems. His research group is actively involved in projects related to sustainable energy conversion and electric transportation. Dr. Badawy is affiliated with Energy Lancaster and the TALOS research group at Lancaster University, where he contributes to interdisciplinary research on sustainable energy systems and power electronics applications.
Peter Fino is an Assistant Professor in the Department of Health, Kinesiology, and Recreation within the College of Health at the University of Utah. He directs the Neuromechanics and Applied Locomotion Lab, which is situated within the Cognitive and Motor Neuroscience research theme. His research focuses on understanding and improving mobility in individuals with neurological dysfunction, particularly those with brain injuries, using core concepts from biomechanics and motor control to develop better diagnostic tools and rehabilitation approaches. Dr. Fino's research explores how humans maintain stability during everyday activities that require complex motor control. His primary areas of investigation include: Foot placement control during walking and turning on uneven surfaces Balance recovery mechanisms following perturbations Effects of neurological conditions like concussion and Parkinson's disease on gait Development and application of inertial sensor technology for clinical assessment Neuroanatomical correlates of motor dysfunction after brain injury Nonlinear dynamics approaches to understanding human movement His lab employs a multidisciplinary approach, collaborating with engineers, clinicians, physical therapists, and neuroscientists to translate research findings into practical applications that improve people's lives. Current projects examine mobility in populations with traumatic brain injury, Parkinson's disease, and other neurological conditions, with particular focus on turning gait, dual-task performance, and objective measurement of balance recovery using wearable sensor technology. Dr. Fino actively mentors a diverse research team comprising PhD students, MS students, research coordinators, and undergraduate researchers. His lab has produced numerous graduates who have gone on to academic positions, clinical research roles, and healthcare professions. He maintains strong collaborative relationships across the University of Utah and with external institutions including Oregon Health & Science University, University of Nebraska Omaha, and US Army-Baylor Physical Therapy. The lab participates in outreach through National Biomechanics Day and partnerships with high school programs to introduce students to biomechanics and neuroscience.
Dr. George Waddell is Performance Research and Innovation Fellow at the Royal College of Music (RCM), where he also serves as Area Leader in Performance Science for the BMus programme. Additionally, he holds an honorary Research Associate position in the Faculty of Medicine at Imperial College London. His work focuses on understanding and optimizing how performers learn, prepare, perform, and are evaluated, with particular emphasis on the role of technology in enhancing these processes. Dr. Waddell's research spans multiple domains within performance science, with significant contributions to understanding musicians' health and wellbeing, performance evaluation methodologies, and technology-enhanced learning. His work often bridges disciplines, connecting music performance with psychology, health sciences, and technology. As Area Leader in Performance Science, he oversees modules that integrate the latest scientific knowledge into musical training, and he designs and leads courses on research methods, performance psychology, and professional skills development. His research output demonstrates a consistent trajectory of innovation, with recent publications focusing on musicians' health, pandemic impacts on arts professionals, technology-enhanced performance training, and interdisciplinary applications of performance science. Dr. Waddell's work has expanded from traditional music performance contexts to broader applications in mental health (particularly postnatal depression interventions through songwriting) and cross-cultural studies of arts professionals' wellbeing. Dr. Waddell has secured significant research funding, including multiple Arts and Humanities Research Council grants totaling over £2 million, and has led the development of the RCM's Performance Laboratory featured in BBC News. He serves as Associate Editor for Frontiers in Psychology: Performance Science and on the editorial board for the Journal of Piano Research. As a doctoral supervisor, Dr. Waddell mentors several research students working on diverse projects within performance science. His collaborative approach is evident in his extensive co-authorship with colleagues across multiple institutions, particularly with Professor Aaron Williamon and other members of the Centre for Performance Science.
Eugene Hong, MD, is a Professor in the Department of Orthopaedics and Physical Medicine & Rehabilitation at the Medical University of South Carolina (MUSC), College of Medicine. He is actively engaged in clinical research focused on neurorehabilitation and musculoskeletal injury recovery, particularly in the context of concussion and ankle sprains. Dr. Hong's research investigates the intersection of cognitive function and physical performance. His work emphasizes postural stability under dual-task conditions, aiming to refine rehabilitation strategies for patients with neurological and orthopaedic impairments. Key areas of interest include motor control, cognitive-motor interference, and balance assessment during functional tasks like the single-leg squat. His current research, as seen in his principal investigator role in an ongoing study, demonstrates a strong focus on clinical applications in sports medicine and rehabilitation. The study explores how cognitive load affects balance in individuals with histories of concussion and/or ankle sprain, contributing to improved diagnostic and therapeutic approaches. Scientific Awards: No awards listed in the provided text. Dr. Hong is involved in clinical trial research but no information about student advising or grant funding is available in the current data. He leads research efforts related to postural stability and rehabilitation, likely involving a multidisciplinary team focused on neuromuscular performance and injury recovery.
Akito Miura is an Associate Professor at the Faculty of Human Sciences of Waseda University , with a career spanning over 15 years in embodied cognitive science and movement research. His work bridges dance science , neuroscience , and biomechanics , focusing on sensorimotor coordination in performing arts and sports. PhD in Academic Studies from the University of Tokyo Research Experience at Waseda University, University of Tokyo, and EuroMov Institute (France) Editorial board member for Journal of Dance Medicine & Science and Advances in Cognitive Psychology Research interests include embodied cognition , rhythmic coordination , and interpersonal motor dynamics , with applications to dance, golf, and violin ensembles. His recent articles examine foot pressure in ballet, auditory-motor synchronization, and groove perception in music. Key awards include the Incentive Paper Award (2024) , Progress in Motor Control Scholarship (2011) , and multiple grants from the Japan Society for the Promotion of Science. He has also contributed to media coverage on rhythm perception in sports and performing arts. Current projects explore machine learning in motor learning, social interaction dynamics, and ACL rehabilitation metrics Professional memberships in the International Association for Dance Medicine & Science and Japan Cognitive Science Society
Kreg Gruben is a Professor at the University of Wisconsin–Madison, affiliated with the School of Education. He leads the Neuromuscular Coordination Laboratory, focusing on biomechanics, motor control, and rehabilitation engineering. His research explores human movement mechanics, postural stability, and neuromuscular adaptation in clinical populations like post-stroke patients. Gruben holds a PhD in Biomedical Engineering from Johns Hopkins University (1993). Key Research Areas: Biomechanics of standing/walking, haptic interfaces, neuromuscular coordination, and force-direction control. Laboratory: Neuromuscular Coordination Laboratory (website linked). His publications span haptic technology, postural control dynamics, and clinical biomechanics applications. Recent work includes studies on hybrid actuators for human-robot interaction and postural stability in autism spectrum disorder. Gruben’s research bridges engineering and clinical science, with implications for rehabilitation therapies and ergonomic design. Advising and Grants: While specific student names or grant details are not listed, his extensive publication record indicates active mentorship in biomedical engineering and kinesiology. Research focuses on translating biomechanical insights into practical rehabilitation solutions.
Steven Livingstone is an Associate Professor in the Department of Computer Science at Ontario Tech University, Faculty of Science. His research focuses on affective data science, applying machine learning and statistical modeling to understand emotion and its disorders. He leads the Affective Data Science Lab (ADSL), specializing in emotion recognition technologies using physiological data like EEG and motion capture. Livingstone holds a PhD from The University of Queensland (2008) and has published over 70 peer-reviewed papers, with over 2,400 citations. His RAVDESS dataset is widely used in speech emotion recognition research. His research interests span data science, affective computing, and music's role in emotion. Recent work emphasizes data provisioning for deep learning applications. Livingstone teaches courses including Scientific Data Analysis and Information Visualization. He actively mentors undergraduate and graduate students in his lab, focusing on research assistantships in emotion technology development. Key contributions include studies on musical tempo’s physiological effects, Parkinson’s disease facial mimicry deficits, and ensemble performance dynamics. His work has been featured in The Atlantic, NBC Today, and on the cover of Informatik Spektrum. The ADSL lab collaborates on projects combining data analytics with human-computer interaction to advance emotion-aware systems.
Dr. Grace Kim is an Associate Professor in the Department of Occupational Therapy at New York University's Steinhardt School of Culture, Education, and Human Development. She holds a PhD in Occupational Therapy from NYU (2016), an MA in Occupational Therapy from Columbia University, and a BA in Psychology from UC Davis. She is a clinician-researcher affiliated with the Rehabilitation Medicine department at New York Presbyterian/Weill Cornell Medical Center, specializing in upper extremity robotics, outcome measurement, and stroke rehabilitation. Education: Bachelor's in Psychology: University of California, Davis Master's in Occupational Therapy: Columbia University PhD in Occupational Therapy: New York University (2016) Research Focus: Intersection of technology and neurorehabilitation Client-centered care for stroke survivors Wearable/mobile technology applications Shared decision-making approaches Awards/Grants: Mitchell Leaska Dissertation Grant (2014) Steinhardt Faculty Challenge Grant (2017) NYU Provost Mega-Seed Grant (2018) American Occupational Therapy Foundation Grant (2021) Dr. Kim teaches courses in Evidence-Based Practice, Neurorehabilitation, and Ethics at NYU Steinhardt. She mentors students in Occupational Therapy, Rehabilitation Science, and the R25 Research Education in Cardiovascular Conditions program at NYU's Rory Meyers School of Nursing. Her work emphasizes affordable technology solutions to improve real-world outcomes for stroke patients, including remote self-training programs and home-based interventions.
Fatemeh Mollaei is a Lecturer in Clinical Language Sciences at the University of Reading, affiliated with the School of Psychology and Clinical Language Sciences. She is a core member of the Centre for Integrative Neuroscience and Neurodynamics (CINN), focusing on neurophysiological mechanisms of speech disorders. Her work integrates behavioral, electrophysiological, and neuroimaging techniques to study Parkinson’s disease (PD) and develops neuro-rehabilitation methods using non-invasive brain stimulation (e.g., TMS, tDCS). Her research explores how sensory and motor systems interact during speech production in PD, employing tools like EEG, fMRI, and MEG. She investigates microstructural white matter changes and auditory processing deficits linked to speech impairments, aiming to translate findings into clinical interventions. Her studies also address broader topics like sensorimotor adaptation and stuttering, emphasizing translational neuroscience. Publications highlight trends in neuroimaging of speech disorders, auditory feedback mechanisms, and neuroplasticity in PD. While no formal awards are listed, her contributions to understanding speech motor control and rehabilitation practices are significant. Advising and grant details are not explicitly provided, but her involvement in interdisciplinary CINN projects suggests active collaborative research. Labs/Teams: Active contributor to the Centre for Integrative Neuroscience and Neurodynamics (CINN) at the University of Reading, collaborating on translational neuroscience projects.
Professor Charlotte Stagg is based at the Nuffield Department of Clinical Neurosciences (NDCN) within the University of Oxford . She serves as Associate Director of the Oxford Centre for Integrative Neuroimaging and holds a Beale Fellow in Medicine position at St Hilda's College. Her research focuses on the physiological mechanisms of motor learning and stroke recovery, utilizing multimodal neuroimaging and brain stimulation techniques. Research Interests : GABA signaling, neuroplasticity, transcranial ultrasound, stroke neurorehabilitation Techniques : 7T MRI, MEG, non-invasive brain stimulation, neurochemistry Selected Scientific Awards : Wellcome Trust Senior Research Fellow Beale Fellow in Medicine, St Hilda's College Collaborations : Leads the Physiological Neuroimaging Group (PiNG), part of the Neuroplastics Collaborative Network with groups led by Heidi Johansen-Berg and Jacinta O'Shea. Current advisees include DPhil student Birtan Demirel and visiting researchers from HEC Montréal and The University of Manchester.
Peter J. Thomas is a Professor in the Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University's College of Arts and Sciences, with secondary appointments in Electrical Engineering and Computer Science, Cognitive Science, and Biology. He serves as Co-Editor-in-Chief of Biological Cybernetics and leads the Computational Biomathematics Laboratory. Primary Affiliation: Department of Mathematics, Applied Mathematics, and Statistics Secondary Affiliations: Department of Electrical Engineering and Computer Science, Department of Cognitive Science, Department of Biology Leadership: Co-Editor-in-Chief of Biological Cybernetics Thomas earned his B.A. in Physics and Philosophy from Yale University (1990), M.S. in Mathematics from the University of Chicago (1994), and both M.A. in Conceptual Foundations of Science and Ph.D. in Mathematics from the University of Chicago (2000). His research spans mathematical neuroscience, theoretical biophysics, and information theory applications to biological systems. Thomas specializes in understanding how noise and stochasticity affect neural coding, developing mathematical frameworks for gradient sensing in cells, and applying graph theory to biological networks. His work on stochastic shielding has provided novel approaches to simplifying complex stochastic models while preserving essential dynamics. His research bridges theoretical mathematics with experimental neuroscience through collaborations with the Chiel laboratory and others. Thomas's recent publications demonstrate a strong focus on stochastic oscillators, sensory feedback mechanisms, and information theory applications to biological systems. His work consistently develops novel mathematical frameworks to address specific biological questions, with significant contributions to understanding phase dynamics in neural oscillators and information processing in biochemical signaling. Core Fulbright Scholar Program (2013) Simons Fellow in Mathematics Program (2014) Multiple NSF grants as Principal Investigator Co-Editor-in-Chief of Biological Cybernetics Thomas has mentored numerous students at all levels, from undergraduates to postdoctoral researchers. His laboratory has produced successful scholars who have gone on to faculty positions at institutions like New Jersey Institute of Technology and the University of Nevada, Reno. He has actively organized workshops at the Banff International Research Station and served on editorial boards for leading journals in computational neuroscience. The Computational Biomathematics Laboratory focuses on developing mathematical frameworks to understand neural dynamics, cellular signaling, and pattern formation. The lab maintains strong collaborations with experimental neuroscience groups and has made significant contributions to understanding rhythmic neural systems, respiratory control mechanisms, and information processing in biological systems.
