جستجوی استاد راهنمای دانشگاهی

Carme Torras Genís is a Research Professor at the Spanish National Research Council (CSIC), affiliated with the Institute of Robotics and Industrial Informatics (IRI) in Barcelona and the Technical University of Catalonia (UPC). Her career spans over three decades, focusing on robotics, neurocomputing, and artificial intelligence with applications in healthcare and deformable object manipulation. M.Sc. in Mathematics (University of Barcelona, 1978) M.Sc. in Computer Science (University of Massachusetts, 11981) Ph.D. in Computer Science (UPC, 1984) Research Interests : Robotic manipulation of deformable objects (especially textiles) Neurocomputing and machine learning for robotic control Human-robot interaction and assistive robotics Computational topology for cloth state representation Ethics in social robotics and AI Medical applications of robotics for neuromuscular disease assessment Scientific Leadership : ERC Advanced Grant recipient (2016) IEEE and EurAI Fellow Coordinator of Horizon Europe project SoftEnable and former ERC project CLOTHILDE Editorial leadership in IEEE Transactions on Robotics and multiple journals Active in ethics committees and AI policy advisory boards Advisory Committee of Ethics in AI (Catalan Government) Vice-President of CSIC Ethics Committee Member of Royal Academy of Engineering (Spain)

• Robotics
• Artificial Intelligence
• Robotic Manipulation of Deformable Objects
• +۷ مورد دیگر

Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.

• Brain-Machine Interfaces
• Neuroprosthetics and Exoskeletons
• Machine Learning
• +۴ مورد دیگر

Dr. Christoph Leitner is a Research Fellow at ETH Zurich's Integrated Systems Laboratory under Prof. Luca Benini, focusing on biomedical and IoT applications. His work integrates printed piezoelectric transducers and flexible electronics with energy-efficient systems. He holds a PhD in Biomedical Engineering from TU Graz (2022) and has collaborated with institutions like Sant'Anna School of Advanced Studies and KTH Stockholm. Notable achievements include the Josef Krainer Young Researcher Award and Motorik Scholarship. Leitner's research spans ultrasonics, machine learning, and wearable devices, with contributions to muscle-tendon dynamics and real-time biofeedback systems. Education: PhD in Biomedical Engineering, TU Graz (2022), Advisor: Prof. Christian Baumgartner Previous roles: University Assistant (2006–2011) and R&D Engineer at Virtual Vehicle GmbH Research Interests: Convergent technologies merging biomedical engineering and IoT Ultrasound-based monitoring for musculoskeletal systems Energy-efficient embedded systems for wearable applications Collaborations & Awards: Recipient of Josef Krainer Young Researcher Award (2023) and Motorik Scholarship (2018) Active collaborations with University of Zurich, Veterinary University of Vienna, and Queensland University of Technology Labs & Projects: Integrated Systems Laboratory at ETH Zurich Developed a patented ultrasound-transparent tattoo-based SEMG system with Prof. Francesco Greco

• Convergent Technologies
• Ultrasonics
• Machine Learning
• +۳ مورد دیگر

Melissa Hooijmans is an Assistant Professor at the Vrije Universiteit Amsterdam, affiliated with the Faculty of Behavioural and Movement Sciences and the Physiology department. She also holds a position in the AMS - Ageing & Vitality research group. Her research focuses on advancing MRI techniques for studying muscular dystrophies, skeletal muscle biology, and sports-related injuries. Key areas include diffusion tensor imaging, magnetic resonance imaging applications, and muscle fiber analysis. Her work integrates clinical and biomechanical perspectives, with recent studies on Becker muscular dystrophy, hamstring injury recovery, and exercise physiology. She actively contributes to interdisciplinary collaborations and has published extensively in peer-reviewed journals like NMR in Biomedicine and the Journal of Magnetic Resonance Imaging. Dr. Hooijmans teaches advanced courses such as Master Research Projects and Functional Anatomy, emphasizing hands-on research training for graduate students. She leads initiatives in compositional and functional MRI methodologies, aiming to improve diagnostic precision and therapeutic strategies for muscle-related disorders.

• Muscular Dystrophy
• Magnetic Resonance Imaging (MRI)
• Skeletal Muscle Biology
• +۳ مورد دیگر

Dr. Wei Dai is a Senior Lecturer (Associate Professor) in the Department of Electrical and Electronic Engineering at Imperial College London, part of the Faculty of Engineering. He holds affiliations with the EPSRC Centre for Maths of Precision Healthcare and the Communications and Signal Processing group. His research focuses on sparse signal processing, machine learning applications in signal processing, linear and bilinear inverse problems, wireless communications, and random matrix theory. Notably, he contributed to the first compressive sensing DNA microarray prototype and has a highly cited 2009 paper on compressive sensing reconstruction. Dr. Dai's educational background includes a Ph.D. in Electrical and Computer Engineering from the University of Colorado at Boulder (2007) and postdoctoral research at the University of Illinois at Urbana-Champaign (2007-2010). His work bridges theoretical signal processing with practical applications in sensing, communication systems, and biomedical signal analysis. He leads research initiatives in gridless DOA estimation, robust beamforming, and cortico-muscular coupling analysis using advanced optimization techniques. His research outputs span topics like spectral compressed sensing, Bayesian methods for integrated sensing-communication systems, and dictionary learning for causal discovery. Ongoing work emphasizes low-rank matrix recovery, distributed compressed sensing, and mathematical frameworks for super-resolution localization. Dr. Dai collaborates across disciplines, leveraging signal processing innovations for healthcare technology and next-generation wireless systems.

• Sparse signal processing
• Signal processing for machine learning
• Wireless communications
• +۴ مورد دیگر

Dr. Luca Modenese is a Senior Lecturer in Biomechanics at the Graduate School of Biomedical Engineering, University of New South Wales (UNSW). A recipient of the prestigious Scientia Fellowship , his research focuses on computational biomechanics with specialization in musculoskeletal and neuromuscular modeling. He has extensive experience across institutions including Imperial College London, Griffith University, and Sheffield University. Education : Mechanical Engineering (summa cum laude), University of Padua (2008) PhD in Structural Biomechanics, Imperial College London (2013) Research Expertise spans musculoskeletal modeling, neuromuscular simulation, orthopaedic biomechanics, and predictive computational methods. His work integrates patient-specific modeling with finite element analysis and predictive simulations. Recent publications highlight advancements in GAN-based motion data generation , electromyography-informed models , and AI-enhanced biomechanical analysis . Scientific Recognition : Scientia Fellowship (UNSW) Athanasiou ABME Award (2021) Publication of the Year (Australia and New Zealand Society of Biomechanics, 2017) Griffith University Awards (2015) OpenSim Fellows Program (Stanford, 2014) Supervision & Collaboration : Currently supervising PhD students Arnault Caillet and Metin Bicer at Imperial College London as external supervisor. Actively involved in research partnerships with institutions including Imperial College London, Stanford University, and the Menzies Health Institute Queensland.

• Computational biomechanics
• Musculoskeletal modeling
• Neuromuscular modeling
• +۲ مورد دیگر

Dr. Utku Yavuz is an Assistant Professor in the Biomedical Signals and Systems Department at the TechMed Centre. His expertise spans neuromuscular physiology, wearable sensor technologies, and clinical monitoring systems. He holds a PhD in Biomedical Engineering from Ege University, complemented by earlier degrees in Physics Engineering (Hacettepe University) and Biophysics (Hacettepe University). Research Focus: Motor unit physiology, neuromuscular modeling, and clinical applications of wearable sensors. Key Areas: Spinal motor neuron behavior, electromyography (EMG), and translational technologies for diabetes and musculoskeletal health. Dr. Yavuz’s work bridges neuroscience and engineering, addressing challenges in prosthetic design, real-time neuromuscular signal decoding, and improving clinical decision-making through sensor data analysis. Recent studies include optimizing wearable glucose monitors and analyzing muscle-tendon dynamics in amputees. His research outputs span 43 publications, with contributions to high-impact journals like BMC Digital Health and IEEE Sensors Journal . Collaborations include institutions focused on biomechanics, robotics, and clinical informatics. Advising: Supervised 1 graduate project, though specific advisee names are not listed. Active in academic activities such as thesis examinations and conference presentations.

• Biomedical Engineering
• Neurophysiology
• Neuromuscular Systems
• +۵ مورد دیگر

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
• +۱۲ مورد دیگر

Professor David Halliday holds a position at the University of York as a Professor and Chair of the Research Committee. His research focuses on interdisciplinary fields of Computational Neuroscience and Neural Computing, with a particular emphasis on neural networks and neurophysiological signal analysis. He leads the Intelligent Systems and Nano-science Group and maintains an active research profile with over 100 publications. His work integrates theoretical modeling with experimental techniques to investigate topics such as motor control, neural oscillations, and clinical applications of machine learning. David Halliday's academic training includes a BSc and PhD, though specific institutions are not detailed in the provided text. His research interests span computational modeling of neural circuits, development of neuro-inspired algorithms, and application of signal processing techniques to neurological disorders. His homepage at http://www-users.york.ac.uk/~dh20 provides further details, including access to his ResearcherID profile (RID: A-3848-2009). Key research contributions include studies on cortico-muscular coherence in movement disorders, astrocyte-neuron interactions, and fault-tolerant spiking neural networks. His publications demonstrate interdisciplinary collaboration across computational neuroscience, biomedical engineering, and clinical diagnostics. Notably, his work combines experimental neurophysiology with advanced computational methods, such as non-parametric directionality analysis and wavelet-based coherence estimation. Recent studies have addressed clinically relevant topics like gait disturbance in spinal cord injury and biomarker identification in bladder cancer using machine learning approaches.

• Computational Neuroscience
• Neural Computing
• Intelligent Systems
• +۳ مورد دیگر

Madeleine Lowery is a Professor in the School of Electrical and Electronic Engineering at University College Dublin. She leads the Personal Sensing research group, focusing on engineering approaches to study the human nervous system in health and disease, with applications in therapies for impaired motor function. Her interdisciplinary research integrates neural engineering, electromyography, and biomedical signal processing. Specializes in neuromuscular systems and neural control of movement Develops myoelectric control systems for artificial limbs Designs high-density electrode systems for neural activity recording Investigates deep brain stimulation mechanisms in Parkinson’s disease models Her research spans neurodegenerative disorders (ALS, Huntington’s disease) and rehabilitation technologies , including wearable sensors for gait and sleep analysis. Key methodologies involve computational modeling , adaptive control systems , and biomedical signal analysis .

• Neural Engineering
• Neuromuscular Systems
• Electromyography
• +۴ مورد دیگر

Professor P D Allen is a Professor of Anaesthesia at the University of Leeds, UK, and holds Emeritus status at Harvard Medical School. His research focuses on muscle physiology, malignant hyperthermia, and calcium regulation in striated muscles. He has held academic and clinical roles across institutions including Harvard, Brigham and Women’s Hospital, and UC Davis. Notable awards include the MHAUS Distinguished Contribution Award (2007) and FAER Honorary Lecturer (2006). His work explores ryanodine receptor structure-function relationships and gene therapy applications using CRISPR-Cas9. Education: PhD in Physiology, University of Florida (1973) MD, Boston University (1967) BA in Medicine, Boston University (1967) Research Interests: Over 40 years, Prof. Allen’s work has centered on calcium regulation in muscle cells, particularly the ryanodine receptor’s role in E-C coupling. He pioneered genetically engineered mouse models (e.g., dyspedic mice) to study protein interactions and has explored HSV1/AAV vectors for gene therapy in diseases like Duchenne muscular dystrophy. Recent advancements include CRISPR-Cas9 for creating disease models. Awards: Academy of Anesthesia Mentors Founding Member (2004) Vandam Lecturer (2001) Paul D. Allen Chair in Anesthesia Research (2007) Professional Memberships: American Society of Anesthesiology Biophysical Society Academy of Anesthesia Mentors (FAER) Labs/Teams: Active in the Leeds Institute of Medical Research at St James’s, collaborating on E-C coupling protein interactions and gene therapy vectors.

• Muscle Physiology
• Malignant Hyperthermia
• Ryanodine Receptor Structure-Function
• +۳ مورد دیگر

Vesa Naukkarinen is a Professor of Kinesiology at Southwestern Adventist University (SWAU), where he has taught for 15 years with expertise in Exercise Physiology. His role encompasses teaching core courses like Exercise Physiology and Biomechanics alongside activity-based instruction in sports including Floorball and Tennis. His educational foundation includes: Ph.D. in Kinesiology, Texas Woman's University (2019), specializing in Exercise Physiology with Administration minor M.S. in Kinesiology, University of North Texas (2001) B.S. in Physical Education, Southwestern Adventist University (1999) Research focuses on cardiovascular adaptations to exercise, particularly through Floorball and interval training protocols. His work examines waist circumference as a health marker, cardiovascular drift mechanisms, and cold exposure applications for muscle preservation. This bridges theoretical exercise science with practical health interventions for diverse populations from adolescents to sedentary adults. Publication trends reveal consistent exploration of cardiovascular fitness optimization over 15 years, with Floorball emerging as a key research modality for high-intensity training. His work spans laboratory-based biomechanics studies to community health applications, emphasizing accessible fitness solutions and physiological monitoring techniques. Scientific recognition includes: Third place winner in Graduate Level Research Poster category at 2016 TAHPERD Convention As Kinesiology faculty, Dr. Naukkarinen mentors students through courses like Senior Seminar and Internship programs. While specific advisees aren't listed, his curriculum development in ACSM certification courses indicates active student training. No grant funding details appear in the source material. Professional engagement includes membership in SHAPE America, National Strength and Conditioning Association, and American College of Sports Medicine, though no dedicated research laboratories or teams are specified in the provided text.

• Exercise Physiology
• Sports Science
• Biomechanics
• +۳ مورد دیگر

Marina Mourtzakis is a Professor and Associate Dean, Research at the University of Waterloo's Department of Kinesiology and Health Sciences. Her research focuses on skeletal muscle health, nutrition, and body composition in health and disease, particularly in cancer patients. She leads the Integrative Metabolism and Body Composition (IMBC) Lab, exploring mechanisms of muscle wasting and developing rehabilitative strategies through imaging (e.g., ultrasound, CT) and metabolic studies. Mourtzakis holds a PhD from the University of Guelph and undergraduate degrees from McMaster University. Her work bridges clinical and translational research, addressing muscle atrophy in critically ill patients and cancer survivors. Key tools include CT-based body composition analysis and ultrasound protocols for bedside applications. She teaches courses such as KIN 204 (Movement Assessment) and KIN 607 (Integrative Energy Metabolism). Her interdisciplinary approach integrates nutrition, exercise physiology, and molecular biology to improve patient outcomes. Research interests center on the interplay between nutrition, exercise, and muscle metabolism, with a focus on cancer-related muscle loss and its impact on survival and physical function. Her studies also examine glucose metabolism in prostate cancer and the role of obesity in disease progression. Mourtzakis supervises graduate students in these areas and collaborates on projects spanning clinical nutrition, imaging innovation, and muscle physiology. Her lab develops practical methods for assessing muscle quality and identifying mechanisms for targeted interventions.

• Skeletal Muscle Health
• Body Composition Analysis
• Nutrition
• +۵ مورد دیگر

Logan Wade is a Research Fellow in the Department for Health at the University of Bath, actively contributing to research in biomechanics and human movement science. He holds a PhD in Biomechanics from the University of Queensland and is currently accepting doctoral students. Institution: University of Bath Department: Department for Health Academic Rank: Research Fellow Education: Doctor of Philosophy (PhD) in Biomechanics, University of Queensland, awarded on 29 March 2019. Thesis: 'The influence of intrinsic and structural muscle properties on movement coordination during altered task constraints'. Research Interests: Logan's research centers on human movement coordination, focusing on how intrinsic and structural muscle properties affect movement in both healthy and clinical populations. His current work investigates movement in individuals with ankylosing spondylitis, osteoarthritis, and amputees. He is also involved in interdisciplinary collaborations with computer science to develop marker-less motion capture systems for clinical and sports applications. These systems integrate video, motion capture, and force plate data to improve biomechanical analysis. Publication Trends: His recent publications (2024–2025) reflect a strong focus on clinical biomechanics, sports performance, and technological innovation in movement analysis. Key themes include knee osteoarthritis, pose estimation, exoskeletons, and validation of marker-less systems. His work frequently appears in journals such as Clinical Biomechanics , Scandinavian Journal of Medicine and Science in Sports , and Royal Society Open Science , demonstrating interdisciplinary impact. Scientific Contributions: Contributor to the BioCV Motion Capture Dataset (2024), a synchronized dataset for validating markerless human movement analysis. Researcher on the EPSRC-funded project 'Exploring Immersive Support for People Affected by Phantom Limb Pain' (2020–2021). Supervision and Collaboration: Logan supervises doctoral students and collaborates extensively with researchers in biomechanics, computer science, and clinical rehabilitation. His network includes experts in motion analysis, neuromuscular control, and assistive technologies. He is actively engaged in interdisciplinary research that bridges engineering, health sciences, and computer vision to advance human movement understanding and rehabilitation.

• Biomechanics
• Human Movement Coordination
• Muscle Physiology
• +۷ مورد دیگر

Grant Tinsley is an Associate Professor of Exercise Physiology in the Department of Kinesiology & Sport Management at Texas Tech University. He directs the Energy Balance & Body Composition Laboratory, which specializes in advanced body composition assessment, metabolism testing, and dietary supplementation trials. His research integrates exercise physiology, nutrition, and pharmaceutical interventions to modify body composition. B.S. in Physiology and Nutritional Sciences, Oklahoma State University M.S. in Biomedical Sciences, Colorado State University Ph.D. in Kinesiology and Exercise Nutrition, Baylor University Dr. Tinsley's research focuses on body composition assessment methodologies, the impact of nutritional and exercise interventions on body composition, and the validity of consumer health technologies. His work also explores energy balance manipulations such as intermittent fasting and overfeeding, with a particular interest in skeletal muscle estimation, hydration enhancement, and thermogenic supplements. The 15 most recent articles highlight his expertise in body composition assessment (including 3D scanning and bioimpedance validation), nutritional strategies (omega-3 fatty acids, postbiotics, creatine), and exercise interventions. These publications span systematic reviews, clinical trials, and technological evaluations, reflecting interdisciplinary approaches to sports nutrition, metabolic health, and athlete performance analysis. The Energy Balance & Body Composition Laboratory employs dual-energy x-ray absorptiometry, air displacement plethysmography, and ultrasonography to study body composition. Adjacent shared facilities support muscular performance evaluation and exercise training programs. The lab also investigates digital anthropometry and segmental body composition using cutting-edge technologies.

• Body Composition Assessment
• Exercise Physiology
• Sports Nutrition
• +۶ مورد دیگر