جست‌وجوی استاد و پژوهشگر

• Medical Visualization
• Virtual Reality Applications in Healthcare
• 3D Anatomical Modeling
• +۴ مورد دیگر

Dr. Paul Anderson is a Professor at The Glasgow School of Art specializing in medical visualization and virtual reality applications for healthcare education. His research bridges art, design, and medical sciences with a particular focus on creating interactive visualization tools for anatomy education and surgical training. Dr. Anderson's research interests center on medical visualization, virtual reality applications in healthcare, 3D anatomical modeling, and dental education technology. His work emphasizes developing haptic-based virtual environments that provide realistic tactile feedback for medical and dental training, particularly in head and neck anatomy and surgical procedures. His approach consistently advocates for technology as an augmentation rather than replacement of traditional medical education methods. Analysis of Dr. Anderson's publication record shows a clear trend toward increasingly sophisticated medical visualization tools, with recent work focusing on real-time interactive applications for anatomy teaching and haptic feedback systems for dental training. His research spans multiple medical specialties including dentistry, breast cancer surgery, and musculoskeletal ultrasound training, demonstrating the versatility of his visualization approaches. Dr. Anderson has established significant collaborations with medical institutions including Edinburgh University's Department of Surgery and the Royal College of Surgeons of Edinburgh. His interdisciplinary approach brings together computer scientists, medical professionals, and design specialists to develop effective medical training tools that address real clinical education needs. As a supervisor, Dr. Anderson focuses on creating practical visualization solutions that enhance medical education while maintaining the essential hands-on components of clinical training. His work provides students with opportunities to develop skills in medical visualization, virtual reality development, and interdisciplinary collaboration between technology and healthcare fields.

• Musculoskeletal Oncology
• Bone Cancer
• Soft-Tissue Sarcoma
• +۸ مورد دیگر

Dr. Vincent Y. Ng is an Associate Professor in the Department of Orthopaedics at the University of Maryland School of Medicine, specializing in musculoskeletal oncology. He is board-certified by the American Board of Orthopaedic Surgery and serves as Director of Musculoskeletal Oncology at the University of Maryland Greenebaum Comprehensive Cancer Center (UMGCCC), leading a multidisciplinary team of over 20 specialists. With expertise in bone cancer, soft-tissue sarcoma, and complex joint reconstruction, Dr. Ng performs over 450 operative procedures annually across six medical facilities. MD, Ohio State University College of Medicine Residency, Ohio State University Hospitals Fellowship, University of Washington Medical Center His research focuses on musculoskeletal oncology, immunotherapy integration in sarcoma treatment, and surgical techniques for joint replacement. Recent work explores advanced radiation therapies like GRID and proton beams, alongside cartilage biology innovations. Dr. Ng has authored over 50 articles and chapters, reflecting his contributions to sarcoma prognosis, implant design, and tissue engineering. Scientific honors include Top Doctor recognition by Baltimore Magazine (2016–2017), National Merit Scholarship, and Big Ten Conference Athlete of the Year. He directs the Musculoskeletal Tumor Course at UMGCCC and is Principal Investigator for a groundbreaking U.S. neoadjuvant trial combining immunotherapy and radiotherapy for high-risk sarcoma (enrollment started Spring 2017).

• Signal Processing
• Medical Imaging
• Artificial Intelligence
• +۳ مورد دیگر

Begoña Acha Piñero is a University Professor in the Department of Signal Theory and Communications at the University of Seville. She leads the Signal Processing and Communications research group and has coordinated major research projects including Explained classification of skin lesions using artificial intelligence (PID2021-127871OB-I00) , Software Tool for Analysis of Malignancy in Pigmented Lesions (DPI2016-81103-R) , and Real-Time Multimodal Medical Imaging (TEC2010-21619-C04-02) . Her work spans biomedical applications of signal processing and computer vision. University of Seville, Department of Signal Theory and Communications Research Group: Signal Processing and Communications Her research focuses on medical imaging , computer vision , and artificial intelligence for clinical applications. Key areas include dermoscopic image analysis , burn wound classification , glaucoma diagnosis , and surgical planning tools . She has developed algorithms for 3D tumor segmentation , optic disc detection , and colorimetric calibration in uncontrolled lighting conditions. Her publications and projects reveal a strong trend toward AI-driven diagnostic systems and image analysis for dermatology . She has contributed to thermography applications in vascular malformations and convex relaxation techniques for CT volume segmentation. Directed 5 PhD theses Co-developed patents for 3D surgical planning tools and intelligent fiducial markers Collaborated on projects with institutions like Virgen del Rocío Hospital

Yurun Caiمشاهده پروفایل

استادیار

• Gerontology
• Physical Activity
• Wearable Sensors
• +۵ مورد دیگر

Dr. Yurun Cai is a tenure-track Assistant Professor at the University of Pittsburgh School of Nursing , specializing in aging research through her work in the Department of Health and Community Systems . Her research integrates wearable sensor technology and digital biomarkers to advance understanding of aging processes. Develops novel physical activity metrics using accelerometry Focuses on pain-cognition interactions in older adults Conducts clinical trials for neurodegenerative early detection Currently teaching NUR1054 Nursing Care of Older Adults , Dr. Cai leads multidisciplinary research initiatives including her National Institute on Aging R03 project and Jewish Healthcare Foundation collaborations. She serves on editorial boards and review panels for major aging research organizations. 2023 Gerontological Society of America Health Sciences Research Award Principal Investigator on PRIME pilot study Co-investigator in medication safety research Connect with Dr. Cai at yuc199@pitt.edu or via her professional website . She is currently accepting PhD students for mentorship.

Edward Chadwickمشاهده پروفایل

استاد

• Biomechanics
• Human Movement Modelling
• Rehabilitation Engineering
• +۳ مورد دیگر

Prof Edward Chadwick is a Professor of Bioengineering and Director of Research for the School of Engineering at the University of Aberdeen . He leads the Abdn Biomech Eng research group and contributes to the MSc in Biomedical Engineering program. His affiliations include the Electrical Systems and Electronics Research Group and Aberdeen Biomedical Imaging Centre . Research Interests Biomechanics of the shoulder and upper limb Modelling and simulation of human movement Rehabilitation engineering Functional Electrical Stimulation (FES) Advanced prosthetic devices Biomedical imaging and signal processing Article Trends : Recent publications focus on soft robotics for rehabilitation, musculoskeletal simulation , and clinical applications of motion capture and ultrasound imaging . Sub-fields include shoulder instability research , FES optimization , and real-time biomechanical models . Professional Memberships : Fellow of the Higher Education Academy (FHEA) Member of the Institute of Physics and Engineering in Medicine (MIPEM) Member, International Society of Biomechanics (Executive Council 2013-17) Chair, Engineering Course Accreditation Panel EPSRC Peer Review College Former Member, Inspire Foundation National Scientific Committee Teaching Responsibilities : Course Coordinator for Fundamentals of Engineering in Medicine and Rehabilitation Engineering and Biomechanics at postgraduate level. Supervises individual projects across undergraduate and postgraduate programs. Labs and Teams : Affiliated with Electrical Systems and Electronics Research Group and Aberdeen Biomedical Imaging Centre . Collaborates with clinical partners at specialist orthopaedic hospitals.

• Ergonomics
• Exoskeletons
• Human-Machine Interaction
• +۶ مورد دیگر

Christina Harbauer is a Researcher at the Chair of Ergonomics at the Technical University of Munich. She focuses on production ergonomics, particularly the ergonomic development and evaluation of physical assistance systems and exoskeletons for industrial environments. Her work bridges biomechanics, robotics, and human-machine interaction. Education: Studied Mechatronics and Information Technology at TU Munich. Research Interests: Exoskeleton design, biomechanical modeling, soft robotics, industrial ergonomics, and human-centered automation systems. Her publications highlight trends in exoskeleton kinematics, force transfer optimization, and ergonomic evaluation of wearable technologies. She contributes to understanding how biomechanical modeling improves soft exoskeleton design and workplace safety. Harbauer collaborates with Klaus Bengler, Martin Fleischer, and other researchers in the field of ergonomics and robotics.

• Orthopedic Oncology
• Surgical Education
• Bone Tumors
• +۵ مورد دیگر

Tessa Balach is a Professor in the Department of Orthopedic Surgery and Rehabilitation Medicine at the University of Chicago. Her career spans clinical practice in orthopaedic oncology, surgical education leadership, and health services research. BA in Biology from University of Chicago (2001) MD from New York Medical College (2005) General Surgery Internship at University of Chicago Medicine (2006) Orthopaedic Surgery Residency at University of Chicago Medicine (2010) Orthopaedic Oncology Fellowship at University of Chicago Medicine (2011) Her research focuses on orthopaedic oncology, surgical education innovation, and health equity. She has led national initiatives including the OrthoACCESS curriculum for medical students and studies on residency training practices. Her work bridges clinical orthopaedics with educational methodology and policy development. Analysis of her recent publications reveals strong emphasis on surgical education systems (40%), orthopaedic oncology (30%), and health services research (30%). Key trends include standardization of medical training, diversity in surgical fields, and improving diagnostic accuracy in complex orthopaedic conditions. American Association of Orthopaedic Surgery Leadership Fellows Program (2018-2019) University of Chicago Quality & Safety Poster Winner (2018) Ruth Jackson Orthopaedic Society Fellowship (2014) American Orthopaedic Association Emerging Leaders Program (2013-2018) Dr. Balach directs national surgical education programs including OrthoACCESS and residency boot camps. She has secured significant funding for the Acute to Chronic Pain Signatures (A2CPS) Consortium studying pain biomarkers. Her leadership extends to AAOS and AOA committees focused on training standards and diversity initiatives. She maintains active collaborations with orthopaedic oncology networks including the Birmingham Orthopaedic Oncology Meeting (BOOM) consensus group and participates in international exchanges through the AOA-JOA Traveling Fellowship program.

• Genetic Epidemiology
• Computational Biology
• Cardiovascular Disease Genetics
• +۲ مورد دیگر

Oddgeir Lingaas Holmen is a Researcher at the HUNT Research Centre under the Faculty of Medicine and Health Sciences , Norwegian University of Science and Technology (NTNU). Holding an M.D. (2008) and a Ph.D. in genetic epidemiology, he collaborates with institutions like the University of Michigan and University of Exeter. Education: M.D. (2008, NTNU), Ph.D. in Genetic Epidemiology His research spans genetic epidemiology , computational biology , and cardiovascular genetics , focusing on large-scale genomic studies, biobank infrastructure, and disease-gene associations. Key projects include: HUNT Cloud (Chief Information Security Officer, 2017–present) – a secure computational platform certified under ISO 9001 and ISO 27001 K.G. Jebsen Center for Genetic Epidemiology (co-founder, 2016) – coordinates 50+ ALL-IN studies on genetic-disease links Collaborative GWAS on atrial fibrillation (2014–2022), psoriasis (2025), diabetes (2023), and cardiovascular biomarkers (2019) Recent publications highlight his role in: Advancing genotyping methodologies (2019) Mapping genetic determinants of BMI (2018, 2022) Identifying cardiovascular risk loci (2014, 2018) Developing biobank infrastructure tools (2020, 2021) Holmen's work integrates genomic data with information security , emphasizing ethical handling of sensitive health data. He has contributed to over 15 high-impact studies since 2010, with affiliations spanning multiple institutions but no listed awards or formal advisory roles.

Oliver Röhrleمشاهده پروفایل

استاد

• Biomechanics
• Computational Modeling
• Skeletal Muscle Mechanics
• +۷ مورد دیگر

Prof. Oliver Röhrle is the Director of the Institute for Modelling and Simulation of Biomechanical Systems at the University of Stuttgart. His academic role as a Professor for Continuum Biomechanics and Mechanobiology focuses on integrating computational modeling with biomechanical and clinical applications. Research Areas: Computational biomechanics, skeletal muscle mechanics, dental applications, neuromuscular system modeling, and multiscale simulations. Grants: ERC Starting Grant LEAD (“Lower Extremity Amputee Dynamics”) and Virtual Orthopedic Lab (Fraunhofer Attract). Key Trends in Publications: Recent work emphasizes 3D ultrasound for muscle analysis, rheological studies in vertebroplasty, motor unit decomposition, and neuro-muscular coupling using advanced computational frameworks. Labs/Teams: Leads the Computational Mechanics of Materials and Structures (T3.0) program and collaborates with interdisciplinary teams on projects like COMMAS and OpenDiHu.

• Biomechanics
• Bioengineering
• Neuromodulation
• +۷ مورد دیگر

Scott L. Delp is the James H. Clark Professor of Bioengineering, Mechanical Engineering, and Orthopaedic Surgery at Stanford University. He directs the Wu Tsai Human Performance Alliance, the Restore Center, and the Mobilize Center, and co-created the SimTK platform. His work spans musculoskeletal biomechanics, rehabilitation engineering, and wearable technology development. Ph.D. in Mechanical Engineering, Stanford University (1990) M.S. in Mechanical Engineering, Stanford University (1986) B.S. in Mechanical Engineering, Colorado State University (1983) Delp focuses on understanding human movement mechanisms and improving treatments for mobility-limiting conditions like cerebral palsy, stroke, osteoarthritis, and Parkinson’s disease. His research also emphasizes developing biomedical technologies for imaging, neuromodulation, and simulation, including exoskeletons, tremor management systems, and AI-driven motion capture tools. Recent publications highlight advancements in exoskeleton design , muscle adaptation analysis using MRI, AI for motion reconstruction , and personalized gait retraining for osteoarthritis. His work integrates computational modeling, clinical trials, and wearable technology to address biomechanical challenges. Muybridge Award (2021) Goel Award for Translational Research in Biomechanics (2019) Member, National Academy of Engineering (2016) Van C. Mow Medal (2008) Delp has held prestigious professorships, including the James H. Clark Professorship and Charles Lee Powell Professorship. He pioneers open-source tools like OpenCap and AddBiomechanics, enabling large-scale human motion analysis and musculoskeletal simulation.

• Biomechanics
• Machine Learning
• Human Movement Analysis
• +۷ مورد دیگر

Scott Uhlrich is a Researcher at the Human Performance Laboratory at Stanford University. He holds a Ph.D. in Mechanical Engineering (2020) from Stanford, along with an M.S. (2016) and B.S. (2014) in the same field from Baylor University and Stanford, respectively. BS, Mechanical Engineering, Baylor University (2014) MS, Mechanical Engineering, Stanford University (2016) PhD, Mechanical Engineering, Stanford University (2020) His research integrates biomechanics , machine learning , and musculoskeletal simulations to enhance human mobility. A co-developer of OpenCap (opencap.ai), a cloud-based tool for movement analysis via smartphones, he focuses on scalable solutions for biomechanical assessment. He also develops non-surgical interventions for knee osteoarthritis , such as gait modifications , using quantitative MRI for evaluation. Key trends in his 15 most recent publications include advancing markerless motion capture , applying machine learning to musculoskeletal modeling , and validating smartphone-based diagnostics for conditions like osteoarthritis. His work also explores real-time biofeedback and wearable sensors to improve movement dynamics. Scientific Awards : OpenSim Fellow (2022) NSF Graduate Research Fellowship (2015) Stanford Graduate Fellowship (2014) Clinical Biomechanics Award Finalist (ISB, 2021) Young Investigator Award (OARSI World Congress, 2019) De Luca Student Travel Award (2018) Uhlrich contributes to teaching through Scientist Spotlight slides and a Careers in Biomechanics lecture , promoting diversity in biomechanics education. He also leads the development of tools like OpenCap for large-scale movement analysis.

Jon Stingelمشاهده پروفایل

پژوهشگر

• Computational Biomechanics
• Musculoskeletal Modeling
• Assistive Device Design
• +۳ مورد دیگر

Jon Stingel is a PhD Candidate in Mechanical Engineering at Stanford University within the School of Engineering . His research focuses on computational biomechanics, particularly the metabolic energy cost of motion at the muscle level and the design of assistive devices to improve human mobility. His recent work involves automating musculoskeletal modeling and motion analysis using optimization algorithms, as well as exploring passive devices like exotendons and leg-connected springs to enhance running economy. He also contributes to pediatric medical device fabrication and sensor development for soft systems. Scientific Awards: Paul Berg Interdisciplinary Biomedical Graduate Fellow, Bio-X SIGF, 2020 National Science Foundation Graduate Research Fellow, 2017 Jon earned his M.S. (2019) and B.S. (2017) in Mechanical Engineering from Stanford University and the University of Mount Union, respectively. He is affiliated with the Clark Center at Stanford, a hub for interdisciplinary biomedical research.

Yanan Suiمشاهده پروفایل

دانشیار

• Machine Learning for Control and Dynamical Systems
• Neural Engineering
• Robotics
• +۴ مورد دیگر

Yanan Sui is an Associate Professor at the School of Aerospace Engineering, Tsinghua University, actively engaged in research and teaching. He leads the Learning & Neural Systems Group (LNS) within the National Engineering Research Center of Neuromodulation, focusing on interdisciplinary work at the intersection of Machine Learning, Robotics, and Neural Engineering. PhD in Computer Science from Caltech Postdoctoral Researcher at Stanford University His research explores: Learning to Move for Understanding and Restoration of Human Motor Functions Safe Optimization Algorithms in Complex Decision Spaces Neural Systems Modeling with Applications in Movement Disorders Recent publications demonstrate his work spans Safety-Constrained Reinforcement Learning , Neuro-Musculo-Skeletal Modeling , and Preference-Based Optimization . Key trends show increasing focus on clinical applications and embodied intelligence systems. Scientific recognition includes: MIT TR35 (Innovator Under 35) in China (2020) Best Conference Paper Award at ICRA (2020) Best Paper Award on Human-Robot Interaction (2020) Contact: ysui@tsinghua.edu.cn

Christoph Langمشاهده پروفایل

مدرس

• Physiotherapy
• Musculoskeletal Disorders
• Digital Forensics
• +۴ مورد دیگر

Christoph Lang is a Lecturer at the Department of Health Sciences within the Institute of Health Sciences at the University of Applied Sciences St. Pölten (FH St. Pölten). Holding degrees of PT (Physiotherapist), BSc, and MSc, his academic and professional work bridges health sciences and digital forensics/cybersecurity education. Research Interests : Musculoskeletal disorder rehabilitation (e.g., frozen shoulder treatment) Digital forensics aligned with the NICE Framework Cybersecurity education through simulation games Agent-based modeling of network behavior Biometric authentication on mobile devices Advanced metering infrastructures Publications highlight interdisciplinary work spanning physiotherapy, cybersecurity, and simulation technologies. While no scientific awards are explicitly mentioned in the provided texts, his contributions to practice-oriented education and musculoskeletal research are notable.

Nian Wangمشاهده پروفایل

دانشیار

• Neuroimaging
• Biomedical Engineering
• MRI Techniques
• +۳ مورد دیگر

Dr. Nian Wang, Ph.D., is an Associate Professor in the Department of Biomedical Engineering at UT Southwestern Medical Center and Principal Investigator at the Advanced Imaging Research Center. He leads the Multimodality Imaging and Analysis (MUDIA) Laboratory, focusing on developing novel MRI acquisition and reconstruction methods for studying central nervous system and musculoskeletal disorders. Education: B.S. from Wuhan University, Ph.D. from Chinese Academy of Sciences Prior Appointments: Research Associate and Assistant Professor at Duke University (2018), Tenure-Track Assistant Professor at Indiana University School of Medicine (2020) Dr. Wang's research specializes in quantitative MRI techniques, including UTE, multi-component T2*, QSM, and compressed sensing for high-resolution diffusion MRI. His work addresses early detection of neurological diseases (Multiple Sclerosis, Alzheimer’s disease, ASD) and musculoskeletal disorders through advanced imaging and computational analysis. The MUDIA Lab's recent publications demonstrate expertise in: High-resolution neuroimaging and connectomics Quantitative susceptibility mapping (QSM) Diffusion MRI for tissue microstructure Machine learning applications in medical imaging Translational studies from rodents to humans Collagen fiber architecture analysis His team integrates multimodal imaging with histological validation and collaborates on preclinical and clinical applications of MRI for neurodegenerative and musculoskeletal conditions.