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Stephen ParadaView profile

Professor

• Orthopedic Surgery
• Shoulder and Elbow Surgery
• Total Joint Arthroplasty
• +5 more

Stephen Parada is a Professor at the Medical College of Georgia, with academic appointments in the Department of Orthopedic Surgery. He is actively involved in clinical education and research, contributing significantly to orthopedic surgery, particularly in shoulder and elbow arthroplasty and biomechanics. Research Interests: His work spans orthopedic surgery, biomechanics, surgical outcomes, and the application of artificial intelligence in patient education. He focuses on improving clinical outcomes in total joint replacement, understanding shoulder instability, and evaluating publication trends in orthopedic research. The recent publications indicate a strong trend toward evidence-based orthopedics, with emphasis on predictive modeling of surgical outcomes, implant longevity, and the role of digital tools in patient communication. His research bridges clinical practice with academic scholarship. Scientific Awards: AAOS Kappa Delta Award, AAOS, 2025 Resident Research Award, Georgia Orthopaedic Society, 2022 GME Exemplary Teaching Award, Medical College of Georgia, 2021 GME Exemplary Teaching Award, Medical College of Georgia, 2020 Teaching and Service: Dr. Parada teaches key surgical clerkships and orthopedic externships. He serves on the AAOS Exhibits Committee and holds leadership roles in the Georgia Shoulder & Elbow Society. His professional service includes roles in ASES, AANA, and AAOS annual meetings, reflecting active engagement in national orthopedic communities. Laboratories and Research Teams: He is involved in Orthopaedic Research at the Medical College of Georgia (2023–present), contributing to a collaborative environment focused on advancing musculoskeletal care through innovation and education.

• Skeletal Muscle Growth
• Ribosome Biogenesis
• Exercise Physiology
• +4 more

Gustavo Nader, Ph.D., is a Professor of Kinesiology at The Pennsylvania State University's College of Health and Human Development, where he holds the Dorothy Foehr Huck and J. Loyd Huck Endowed Chair in Molecular, Cellular and Integrative Physiology. His research laboratory at 101 Noll Lab focuses on molecular mechanisms of skeletal muscle adaptation, employing human, animal, and cellular models to investigate ribosome biogenesis, transcriptional regulation, and muscle growth control in contexts ranging from exercise hypertrophy to cancer cachexia. Dr. Nader's research examines fundamental processes including: Ribosome biogenesis and its role in muscle growth regulation Epigenetic control of RNA Polymerase I activity Molecular pathways in mechanical overload-induced hypertrophy Tumor-induced muscle wasting mechanisms Biomimicry approaches inspired by hibernator physiology His work spans exercise physiology, cancer biology, and environmental stress responses. Analysis of his 15 most recent publications (2015-2025) reveals predominant themes in muscle hypertrophy mechanisms, cancer cachexia pathophysiology, ribosomal function analysis, and environmental stress impacts on muscle. His work consistently integrates molecular techniques with physiological models across species. Notable scientific recognitions include: Dorothy Foehr Huck and J. Loyd Huck Chair appointment (2024) Huck Institutes Leadership Fellowship (2025-2026) Dr. Nader leads an active research team investigating muscle plasticity, with current projects funded through the Huck Institutes of the Life Sciences. He collaborates extensively through Penn State's Integrative and Biomedical Physiology graduate program and Center for Cellular Dynamics.

Dominika IgnasiakView profile

Researcher

• Biomechanics
• Musculoskeletal Modeling
• Spinal Surgery
• +3 more

Dr. Dominika Ignasiak is a Researcher affiliated with the Institute of Biomechanics at ETH Zürich. Her work focuses on spinal biomechanics, musculoskeletal modeling, and computational analysis of spinal pathologies. She contributes to understanding the biomechanical implications of surgical interventions, spinal deformities, and age-related changes in spinal alignment and loading. Her research integrates clinical data with advanced musculoskeletal modeling techniques, particularly in predicting postoperative outcomes and assessing spinal load distributions under dynamic conditions. Key areas include spinal stenosis, idiopathic scoliosis, and the biomechanics of spinal fusion surgery. Dr. Ignasiak collaborates on translational studies bridging computational simulations with clinical applications. Her publications emphasize the role of personalized models in optimizing surgical strategies and understanding degenerative spinal conditions. While no formal awards are listed, her contributions to spinal biomechanics research are evident through her active publication record in high-impact journals. Dr. Ignasiak is based at ETH Zürich’s Institute of Biomechanics, where she engages in cutting-edge research and contributes to both academic and clinical advancements in orthopedic biomechanics.

Matei CiocarlieView profile

Associate Professor

• Robotic Manipulation
• Assistive Robotics
• Human-Robot Interaction
• +5 more

Matei Ciocarlie is an Associate Professor of Mechanical Engineering at Columbia University, focusing on robotics research spanning hardware design, control systems, and human-robot interaction. His work emphasizes robots operating in dynamic, unstructured environments, with applications in manufacturing, logistics, and healthcare. He holds affiliations with Columbia's School of Engineering and Applied Science and the Robotics Department. Education: Ph.D. in Mechanical Engineering from Columbia University (2010), with a doctoral dissertation on dexterous robotic grasping awarded the 2010 Robotdalen Scientific Award. Research Interests: Robotic hand design/control, human-in-the-loop manipulation, assistive robotics, tactile sensing, and rehabilitation technologies. His lab develops systems like wearable robotic orthoses for stroke patients and teleoperated robots with autonomous decision-making capabilities. Awards: IEEE Early Career Award (2015), ONR Young Investigator Award (2016), NSF CAREER Award (2016), Sloan Fellowship (2017). Grants & Collaborations: Led projects at Willow Garage and Google, contributing to ROS development. Current work includes NSF-funded tactile sensing research and NIH-sponsored assistive robotics initiatives. Labs: Active projects in Columbia's Robotics Lab and collaboration with medical institutions for clinical trials of robotic orthoses.

Xenophon PapademetrisView profile

Professor

• Medical Image Analysis
• Machine Learning
• Biomedical Software Development
• +7 more

Xenophon Papademetris is a Professor of Biomedical Informatics & Data Science and Radiology & Biomedical Imaging at Yale School of Medicine. He serves as Associate Director of Biomedical Imaging Data Sciences at Yale Biomedical Imaging Institute and directs the Medical Software and Medical Artificial Intelligence Certificate Program. PhD in Electrical and Information Sciences from Yale University (2000) BA from Cambridge University (1994) Postdoctoral Fellowship at Yale University (2002) His research focuses on medical image analysis, machine learning, and biomedical software development. He has developed tools like BioImage Suite Web and contributed to standards committees at the Association for the Advancement of Medical Instrumentation (AAMI). His work spans modalities including MRI, CT, PET, and optical imaging. Recent publications emphasize neuroimaging analysis, explainable AI in healthcare, and multimodal data integration across species. He leads NIH-funded research under the BRAIN Initiative (R24 MH114805) and has authored a textbook on Medical Software published by Cambridge University Press. IEEE Senior Member Yale Brown-Coxe Postdoctoral Fellowship Harding Bliss Prize for Excellence in Engineering He directs the BioImage Suite Project, creating web-based image analysis tools using JavaScript and WebAssembly. His teaching includes both academic courses and a Coursera program on Medical Software with over 14,000 enrollments.

• Exercise Physiology
• Bone Physiology
• Pediatric Exercise Medicine
• +4 more

Panagiota (Nota) Klentrou is a Distinguished Professor and Dean of the Faculty of Applied Health Sciences at Brock University, specializing in Kinesiology. Her research focuses on exercise physiology , bone development , and the health implications of sport training in youth , particularly examining cellular mechanisms linking exercise, diet, and lifelong bone health. Supported by NSERC, CIHR, Osteoporosis Canada, and the International Gymnastics Federation Education: PhD, FCSEP (Fellow of the Canadian Society of Exercise Physiology) Her work spans bone physiology , inflammatory responses to exercise , and sclerostin-mediated tissue cross-talk , with recent studies exploring the impact of obesogenic diets , acute exercise , and nutritional interventions on skeletal growth and adaptation. Key findings include the role of sprint interval training in modulating adipose tissue Wnt signaling and the effects of dairy consumption on bone turnover markers. Scientific Awards & Distinctions Fellow, Canadian Society for Exercise Physiology (CSEP), 2020 Marilyn Rose Graduate Leadership Award, 2017 TVO's Best Lecturer nominee, 2010 Chancellor’s Chair for Research Excellence, Brock University, 2009 Award for Distinguished Research & Creative Activity, Brock University, 2006 Dr. Klentrou actively supervises graduate and undergraduate students in projects related to bone physiology , inflammation , and exercise adaptation , and collaborates with organizations like Osteoporosis Canada and the International Gymnastics Federation.

• Biomedical Engineering
• Control Systems
• Brain-Computer Interfaces
• +7 more

Andrzej Majkowski is an Associate Professor at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering, Warsaw University of Technology. His career spans over two decades of research in biomedical engineering, focusing on brain-computer interfaces, signal processing, and emotion recognition. Active in both teaching and research, he contributes to advancing methodologies in electrophysiological signal analysis. Warsaw University of Technology Institute of the Theory of Electrical Engineering, Measurement and Information Systems Faculty of Electrical Engineering Specializing in biomedical engineering , Majkowski's research bridges control systems and information technologies with neuroscience applications. His work explores brain-computer interfaces , EEG/EMG signal processing , and emotion recognition using multimodal physiological data. Recent studies focus on deep learning architectures for artifact removal and classification tasks. Recent publications highlight trends in CNN-LSTM hybrid models for signal denoising, convolutional networks for seizure detection, and machine learning applications in visual evoked potential analysis. His work spans both clinical applications (epilepsy monitoring) and human-computer interaction (emotion recognition, sign language detection). With over 98 documented publications and significant bibliometric indicators (h-index 13 in Scopus), Majkowski has supervised 95 promoted theses. His research includes one funded project and collaborations in biomedical instrumentation, though specific award details remain unspecified in available records.

Thomas GrenierView profile

Associate Professor

• Medical Image Segmentation
• Clustering
• Filtering
• +3 more

Thomas Grenier is an Associate Professor in the Department of Electrical Engineering at INSA Lyon and a member of the CREATIS laboratory (CNRS UMR 5220, INSERM U1294). He obtained his HDR (Habilitation à Diriger des Recherches) in 2023 and his Ph.D. in Image Processing from INSA Lyon in 2005. His research focuses on medical image segmentation, clustering, and filtering using feature space, scale-space, and deep learning approaches. Doctoral School: EEA (Electronics, Energy, and Automatics) Research Affiliation: CREATIS Lab (CNRS/INSERM/INSA Lyon/Université Lyon 1/Université Jean Monnet Saint-Etienne) He has contributed to 20 papers and co-supervised 5 PhD students, including Léo Dumortier and Florent Guépin. Grenier leads the annual Deep Learning for Medical Imaging (DLMI) school, which he co-founded, and has organized five editions across Lyon and Montreal since 2019. The school emphasizes practical deep learning applications in medical imaging for participants of all expertise levels. His work spans interdisciplinary domains such as medical imaging , deep learning , and image processing , with recent publications on generative AI for MRI synthesis, explainable networks, and segmentation of neurological pathologies in preclinical models. He manages pedagogical platforms, coordinates LabEx PRIMES project activities, and oversees lab room infrastructure for 200 hours/year across 10 training programs. Grenier also leads the MUSIC transversal project on Multiple Sclerosis since 2019.

Anthony A GattiView profile

Research Fellow

• Biomechanics
• Medical Imaging
• Machine Learning
• +7 more

Anthony A Gatti is a Postdoctoral Scholar at Stanford University's Wu Tsai Human Performance Alliance and School of Medicine. His research integrates biomechanics , medical imaging , and machine learning to advance musculoskeletal health diagnostics, particularly focusing on knee osteoarthritis and exercise physiology. Education : Ph.D. in Rehabilitation Science (McMaster University, 2021), M.Sc. in Rehabilitation Science (McMaster University, 2015), B.Sc. in Kinesiology (McMaster University, 2013) His research develops automated tools for quantifying knee anatomy and integrating anatomical data with biomechanical models . These methods analyze acute responses to exercise and long-term joint degeneration, leveraging MRI , deep learning , and statistical shape modeling . Recent publications emphasize AI-driven segmentation , exercise-induced cartilage changes , and biomechanical simulations , spanning journals like Magnetic Resonance in Medicine and Arthritis & Rheumatology . Trends include machine learning validation for clinical predictions and open-source tool development for musculoskeletal analysis. Scientific Awards : CIHR Postdoctoral Fellowship (top 1%), Mitacs Accelerate Entrepreneur, Forge Student Start-Up Competition Winner, multiple scholarships from McMaster University He founded NeuralSeg , a company commercializing deep learning-based MRI segmentation technology. Collaborations include Stanford's Digital Athlete Moonshot Project with advisors like Scott Delp and Garry Gold.

Casper HoogenraadView profile

Professor

• Molecular Neuroscience
• Neuronal Development
• Intracellular Protein Trafficking
• +7 more

Prof. Casper Hoogenraad is a full professor in Molecular Neuroscience at the Department of Cell Biology, Faculty of Science, Utrecht University. His research focuses on understanding how intracellular protein trafficking underlies neuronal development and function, with particular emphasis on the microtubule cytoskeleton, synaptic cargo trafficking, and synaptic plasticity. He leads an active research group within Utrecht University's Cell Biology department and collaborates extensively with other neuroscience research groups. Education: PhD, Erasmus University Rotterdam (1996-2001) Postdoc, Massachusetts Institute of Technology (2002-2005) Hoogenraad's research spans three main themes: cytoskeleton dynamics during neurodevelopment and synaptic plasticity, motor proteins and adaptors as regulators of synaptic transport, and psychiatric and neurologic disease disorders linked to intracellular transport. His work combines genetics, biochemistry, molecular, and cellular biology methods in in vitro (neuron cultures), ex vivo (brain slices), and in vivo (mice) systems, along with advanced microscopy techniques including immunofluorescent confocal microscopy, high-resolution live cell imaging, and photo-activated localization microscopy (PALM). Analysis of Hoogenraad's recent publications reveals a strong focus on microtubule organization, neuronal polarity, and the molecular mechanisms underlying synaptic function and dysfunction. His work frequently explores how disruptions in intracellular transport contribute to neurological disorders including Alzheimer's disease, schizophrenia, and autism spectrum disorders, with particular attention to the relationship between cytoskeletal organization and cargo transport in neuronal compartments. Scientific Awards and Memberships: ZonMW-VIDI (2004) European Young Investigators (EURYI) award (2005) NWO-ALW VICI (2011) ERC Consolidator grants (2013) FENS-Kavli Network of Excellence (2014) European Molecular Biology Organization (EMBO) (2015) Young Academy of Europe (YAE) (2015) IBRO Kemali Prize (2016) Hoogenraad leads a research group studying neuronal development and function, with a particular focus on how intracellular transport mechanisms contribute to both normal brain function and neurological disorders. His laboratory employs a multidisciplinary approach combining molecular, cellular, and systems neuroscience techniques to investigate the molecular basis of neuronal polarity, synaptic plasticity, and the pathogenesis of neurological disorders. He has secured significant research funding through prestigious grants including ERC Consolidator grants. The Hoogenraad lab operates within the Cell Biology department at Utrecht University, collaborating with other research groups focusing on cellular dynamics, biophysics, and neurobiology. The lab utilizes advanced microscopy techniques including immunofluorescent confocal microscopy, high-resolution live cell imaging (spinning disc microscopy and total internal reflection fluorescence microscopy), and quantitative analysis using advanced high-resolution microscopy (photo-activated localization microscopy). Current lab technicians include Phebe Wulf and Bart de Haan.

Thanh Nho DoView profile

Senior Lecturer

• Biomedical Engineering
• Surgical Robotics
• Soft Robotics
• +5 more

Dr. Thanh Nho Do is a Scientia Senior Lecturer at the Graduate School of Biomedical Engineering (GSBmE), UNSW Sydney, and Director of the UNSW Medical Robotics Lab. He holds a PhD in Mechanical Engineering (Surgical Robotics) from Nanyang Technological University (NTU), Singapore, and a B.Eng. in Manufacturing Engineering from Ho Chi Minh City University of Technology, Vietnam. His research focuses on soft robotics, wearable technologies, and biomedical devices, including flexible surgical systems, soft actuators, and haptic interfaces. Education PhD in Mechanical Engineering (Surgical Robotics), NTU Singapore, 2015 B.Eng. in Manufacturing Engineering, Ho Chi Minh City University of Technology, Vietnam Research Interests Soft robotics for medical applications (e.g., NOTES systems, wearable haptics) Functional materials for biomedical devices Cardiovascular engineering and assistive devices Advanced control algorithms for medical robotics Key Contributions His work spans bioprinting, motor-free robotic systems, and soft wearable technologies. Recent studies include self-deploying cardiac compression devices and bioinspired artificial muscles. Awards 2025: CINSW Career Development Fellow 2024: NSW Young Tall Poppy Science Award 2023: Best Poster Awards at EMBC and ICRA Grants & Funding Includes NHMRC Ideas Grant (Lead CI), Cancer Institute NSW Fellowship, and UNSW Scientia Grant. Active projects address cardiovascular interventions and wearable robotics. Labs & Teams Leads the UNSW Medical Robotics Lab, collaborating on devices like soft robotic catheters and textile-driven exosuits.

• Biomedical Signal Processing
• Respiratory Monitoring
• Sleep Disorders
• +4 more

Prof. Raimon Jané Campos is a leading figure in biomedical signal processing at the Universitat Politècnica de Catalunya (UPC) and Universitat de Barcelona (UB). As co-director of UPC's Biomedical Signal and System Group (CREB) and coordinator of the Biomedical Engineering PhD Programme, he bridges engineering and clinical applications. His work focuses on respiratory and sleep disorder diagnostics, with significant contributions to COPD and sleep apnea monitoring through wearable devices and machine learning. PhD in Biomedical Engineering (UPC, 1989) Visiting researcher at Université de Nice-Sophia Antipolis Vice-president of Spanish Society of Biomedical Engineering Research spans respiratory mechanics , sleep-disordered breathing , acoustic biomarkers , bioimpedance , and machine learning in biomedical contexts . His 2025 work on microcalorimetric pathogen classification and 2024 spiking neural networks for apnea detection demonstrate cutting-edge integration of computational methods with physiological monitoring. Articles from 2017-2024 reveal consistent focus on non-invasive diagnostics , cardiorespiratory synchronization , and smartphone-based health solutions . Awarded the Barcelona City Technology Research Award (2005) and serving on the International Advisory Board for Physiological Measurement since 2010, his career combines academic leadership with real-world clinical translation through IBEC's technology transfer initiatives.

James Ashton-MillerView profile

Professor

• Biomechanics
• ACL injury
• Sports injury
• +15 more

Dr. James Ashton-Miller is a prominent faculty member in the Department of Mechanical Engineering at the University of Michigan, where he directs the Biomechanics Research Laboratory. He serves as a Center Member of the University of Michigan Injury Prevention Center and maintains affiliations with the Institute of Gerontology. His interdisciplinary work bridges engineering principles with medical applications, focusing on injury prevention across sports medicine, obstetrics, and geriatrics. Dr. Ashton-Miller's educational background includes: PhD from the University of Oslo, Oslo, Norway (1978-1983) MSME from M.I.T., Cambridge, MA, U.S.A (1972-1974) B.SC. (Hons) from the University of Newcastle-upon-Tyne, Newcastle-upon-Tyne, England (1967-1972) His research focuses on the biomechanics of injury prevention across multiple critical domains. In sports medicine, he has demonstrated that some ACL injuries are overuse injuries resulting from too many sub-maximal loading cycles that prevent healing of collagen damage. In women's health, his work on childbirth injuries addresses conditions that affect more women than breast cancer. His research on fall-related injuries in older adults reveals the dual threat of physical and cognitive factors. He also investigates sciatica, disc degeneration, and develops new medical devices for screening, diagnosis and treatment. Dr. Ashton-Miller's recent publications show a strong trend toward developing practical clinical applications from fundamental biomechanical research, with emphasis on advanced imaging methods, wearable sensors, and computational modeling for pelvic floor function assessment. His work consistently aims to translate engineering insights into clinical solutions for injury prevention. His research insights have earned him numerous national and international research awards, though specific awards aren't detailed in the available information. His work involves close collaboration with clinicians and surgeons who meet weekly to discuss progress and next steps. Dr. Ashton-Miller is deeply committed to mentoring, working with NIH K-series fellows along with 1-2 post-doctoral fellows, 3-5 PhD students, 2-4 M.S. students, 4-5 undergraduate students, and 2-4 young clinicians. His research is generously supported by the National Institutes of Health, National Science Foundation, National Basketball Association, Fortune 500 companies, and startup companies including Procter & Gamble and Hologic, Inc. He directs the Biomechanics Research Laboratory and co-leads the Pelvic Floor Research Group, where his teams develop new medical devices to improve screening, diagnosis, and treatment of various biomechanical conditions. These laboratories maintain strong clinical connections, ensuring research remains grounded in real-world medical challenges.

Renate SachseView profile

Researcher

• Motion Design
• Active and Adaptive Structures
• Biomechanics
• +6 more

Renate Sachse is a Researcher and Responsible Investigator at the Chair of Structural Analysis, Technical University of Munich (TUM), under Prof. Kai-Uwe Bletzinger. She holds a Dr.-Ing. from the University of Stuttgart and has held postdoctoral positions at Harvard University (Bertoldi Lab) and TU Munich's Institute for Computational Mechanics. Her research focuses on biomimetic adaptive structures, biomechanics, and smart materials. Education M.Sc. in Civil Engineering (University of Stuttgart, 2014) – Thesis: "Isogeometric Contact Analysis of Thin-Walled Structures" B.Sc. in Civil Engineering (University of Stuttgart, 2011) – Thesis: "Elementary School Pavilion Structural Analysis" Study Abroad: École Spéciale des Travaux Publics (ESTP, France, 2012) Research Interests Her work integrates principles from biology and mechanics to design adaptive structures, including motion design, soft robotics, and active metamaterials. Notable projects include studying snapping mechanisms in plants (e.g., Venus flytrap) and developing bio-inspired systems like Flectofold shading devices. She also explores isogeometric analysis and structural optimization for thin-walled and slender structures. Grants & Awards Bertha Benz Prize 2022 (Daimler and Benz Foundation) Klaus Tschira Boost Fund Fellowship (€80,000 interdisciplinary grant) 3rd Place AVK-Prize for Innovations (2017, Flectofold Shading System) GAMM Juniors Fellowship (2020–2022) Teaching & Grants She teaches advanced finite element methods and nonlinear mechanics at TUM and has supervised projects in computational mechanics. Her grants include CareerDesign@TUM funding and the Klaus Tschira Fellowship for high-risk, interdisciplinary research. Labs & Teams Associated with the Chair of Structural Analysis at TUM, collaborating on projects like livMatS (Living Materials Systems) and the Harvard SEAS Bertoldi Lab. Involved in software development (e.g., Carat++, Kiwi!3d) and third-party initiatives (CoDA, FlexWing).

John NassourView profile

Researcher

• Computational Cognitive Systems
• Robotics
• Wearable Robotics
• +5 more

John Nassour is a Researcher at the Technical University of Munich's School of Computation, Information and Technology, affiliated with the Chair of Cognitive Systems. He holds engineering degrees from Tishreen University (electronics), a Master's in intelligent systems from University of Cergy-Pontoise/École Nationale Supérieure de l'Électronique, and a joint PhD from University of Versailles/TUM. His interdisciplinary research focuses on computational cognitive systems applied to robotics, including wearable devices, humanoid robots, soft robotics, and robot learning for locomotion/manipulation. Before joining TUM in 2020, he was a lecturer/researcher at Chemnitz University of Technology. He teaches courses in cognitive systems, neuro-inspired engineering, and soft robotics.