جست‌وجوی استاد و پژوهشگر

• Veterinary Sciences
• Osteoarthritis Research
• Musculoskeletal Imaging
• +۳ مورد دیگر

Dr. Fanny Hontoir is an Assistant Professor in Animal Anatomy at the University of Namur's Faculty of Sciences, specializing in musculoskeletal system research and functional imaging of articular cartilage. With a Doctorate in Veterinary Sciences (2018) and extensive experience in ovine osteoarthritis models, she contributes to biomedical research through innovative imaging techniques and proteomic biomarker discovery. Veterinary Medicine - University of Liège (2007) X-Ray Radiation Safety Accreditation (2007) FELASA Accreditation (Category C) - Laboratory Animal Sciences (2011) PhD in Veterinary Sciences - University of Namur (2018) Her research focuses on developing ovine models for osteoarthritis detection, combining MRI and CT imaging with cartilage biology studies. Recent projects explore small nucleolar RNA in aging, surgical induction of osteoarthritis, and proteomic biomarker discovery in synovial fluid. She actively contributes to veterinary education through digital tools like annotated radiographs and palpation videos, and participates in conferences (OARSI 2024, EULAR Congress 2025). Key research trends involve cross-disciplinary applications of imaging technologies, sustainable animal husbandry practices (solar grazing), and translational medicine bridging veterinary and human osteoarthritis research. Her work aligns with UN SDGs for sustainability and educational innovation. Dr. Hontoir collaborates with institutions across Europe, supervises research projects, and serves on the board of the Belgian Center for Pharmacotherapeutic Information. She has contributed to 68 research outputs, 3 datasets, and 90 academic activities including peer-review and invited lectures.

Ryan Campagnaمشاهده پروفایل

استادیار

• Lung Cancer
• Esophageal Cancer
• Thymoma and Thymic Neoplasms
• +۸ مورد دیگر

Ryan Campagna, M.D., M.Ed. is an Assistant Professor in the Department of Surgery at the University of Rochester Medical Center. His clinical focus includes thoracic and foregut surgery, with expertise in treating conditions such as lung cancer, esophageal cancer, GERD, and achalasia. Dr. Campagna received his M.D. from Ohio State University College of Medicine and an M.M.S. from the University of Cincinnati. He completed a General Surgery residency at McGaw Medical Center of Northwestern University and a Cardiothoracic Surgery fellowship at the University of Michigan, where he trained in robotic thoracic surgery and obtained AATS certification in thoracic robotics. His research interests center on esophageal motility disorders minimally invasive and robotic thoracic surgery clinical outcomes in functional esophageal disease endoscopic surgical techniques Publications reflect trends in gastrointestinal endoscopy, surgical education, and the application of robotic and endoscopic methods to treat achalasia and other foregut conditions. Dr. Campagna is affiliated with UR Medicine Faculty Group and Accountable Health Partners, a regional network of over 2,000 providers. He is accepting new patients and can be reached at (585) 275-1509.

Joel B. Fontanarosaمشاهده پروفایل

استادیار

• Head and Neck Cancer Genomics
• Computational Biology
• Reconstructive Surgery
• +۲ مورد دیگر

Joel B. Fontanarosa, M.D., Ph.D., is an Assistant Professor in the Department of Otolaryngology at the University of Rochester's School of Medicine and Dentistry. As a faculty member of the University of Rochester Medical Faculty Group (URMFG), he practices at the Wilmot Cancer Institute where he specializes in head and neck surgical oncology. Dr. Fontanarosa is board-certified in Otolaryngology and Head and Neck Surgery by the American Board of Otolaryngology. Education and Training: B.A. from The University of Chicago M.D. and Ph.D. in Bioinformatics from University of Illinois College of Medicine Residency in Otolaryngology – Head and Neck Surgery at Northwestern University Fellowship in Head and Neck Surgical Oncology at Massachusetts Eye and Ear/Harvard Medical School Research Focus: Dr. Fontanarosa's research centers on developing computational methods to analyze head and neck cancer at the genomic level. His work aims to create personalized prevention, diagnosis, and treatment protocols based on molecular tumor characteristics. Key research areas include bioinformatics applications in oncology, genomic sequencing analysis, and computational modeling of cancer progression.

• Implant Dentistry
• Overdentures
• Lower Jaw
• +۶ مورد دیگر

Prof. dr. Henny Meijer is a Professor in Implant Dentistry at the Faculty of Medical Sciences, University of Groningen. His research focuses on implant dentistry, overdentures, lower jaw reconstruction, and patient satisfaction in oral surgery. He is affiliated with the University Medical Center Groningen (UMCG) and actively contributes to clinical research in dental implants and esthetic zone treatments. Professor in Implant Dentistry Faculty of Medical Sciences UMCG - University of Groningen Meijer’s research explores soft tissue integration, peri-implantitis treatment, and digital workflows in implant placement. His work addresses challenges in immediate implantation, zirconia restorations, and alveolar ridge preservation. Recent projects include randomized controlled trials on soft tissue augmentation and long-term outcomes of full-zirconia implant restorations. His publications span topics like implant placement protocols, surgical revisions for failed implants, and patient-reported outcomes. Articles emphasize evidence-based practices and technological advancements in implant dentistry, with collaborations across Europe and contributions to UN Sustainable Development Goals through clinical innovation. NVOI Best Original Article 2024 Beste publicatie 2019 (Nederlandse Vereniging voor Orale Implantologie) European prize for clinical research - surgery 2019 Beste publicatie 2018 (Nederlandse Vereniging voor Orale Implantologie) Meijer supervises PhD students at the University of Groningen and participates in professional organizations like the European Association for Osseointegration. His work combines clinical practice, education, and research to advance implant dentistry’s efficacy and patient care standards.

Kurt Schillingمشاهده پروفایل

استادیار

• Medical Imaging
• Biomedical Engineering
• Neuroimaging
• +۳ مورد دیگر

Kurt Schilling is a Research Assistant Professor at Vanderbilt University , affiliated with both the Department of Electrical and Computer Engineering and the Vanderbilt Institute for Surgery and Engineering (VISE) . He is a member of the Medical-image Analysis and Statistical Interpretation (MASI) Lab , working under the mentorship of Bennett Landman . PhD in Biomedical Engineering (2020), Vanderbilt University B.S. in Biomedical Engineering, University of Toledo Research Interests focus on advanced MRI techniques for mapping brain microstructure and connectivity, particularly using diffusion MRI to study aging and neurodegenerative diseases. His work spans image acquisition , processing algorithms , and biomedical modeling to improve diagnostic accuracy and understanding of brain networks. Recent Publications address critical challenges in diffusion MRI harmonization , white matter functional networks , and machine learning applications for neuroimaging across aging cohorts. Key contributions include deep learning pipelines for bias correction and quantitative T1 mapping comparisons.

• Biomechanics
• Computational Biomechanical Modeling
• Orthopaedic Surgery Outcome Prediction
• +۳ مورد دیگر

Athena Jalalian is an Assistant Professor in the Department of Design, Production and Management at the University of Twente's Faculty of Engineering Technology. She previously held a Research Fellow position at Keppel-NUS Corporate Lab (2016-2018) and served as a Lecturer in Mechanical Engineering at Deakin University (Australia). PhD in Mechanical Engineering (Manufacturing) from National University of Singapore (NUS), 2016 Recipient of NUS research scholarship Her research focuses on biomechanics of human joints and computational modeling for orthopaedic surgery optimization, particularly in scoliosis correction. She developed novel dynamic models and in-house surgical planning software during her PhD. Current work involves minimizing surgical complications through advanced biomechanical simulations. Best paper award in Industrial Conference on Data Mining (2016)

• Medical Imaging
• Orthopedic Surgery
• Surgical Planning
• +۶ مورد دیگر

Maaike Koenrades is a prominent researcher in Multi-Modality Medical Imaging at the University of Twente, specializing in advanced applications of 3D printing, virtual surgical planning, and image-guided interventions. Her work bridges cutting-edge technology with clinical practice, notably in orthopedic surgery and cardiovascular interventions. Key research areas: 3D printed patient-specific guides, Sacroiliac joint fusion, Endovascular aneurysm repair (EVAR), and Implant technology Notable collaborations with UT colleagues: G. Tuijthof, F. Schröder, E. Hekman Recent publications highlight her focus on optimizing surgical outcomes through digital tools and patient-specific modeling. Her research spans both technical innovation and clinical validation. Scientific recognition includes: 1st Prize for Best Poster Presentation at ESVS Valencia (2018) Best Abstract Award at Technical Innovations in Medicine Conference (2021) She contributes to academic governance as an examiner in the Master Graduation Committee, while maintaining active roles in conference presentations and research dissemination.

• Oral Biology
• Diabetes Research
• Eye Tracking
• +۵ مورد دیگر

Kilian D.R. Kappert serves as Assistant Professor in Biomedical Photonic Imaging at the TechMed Centre, University of Twente, where he bridges engineering innovation with clinical medicine through advanced imaging and computational methodologies. His research spans critical domains including oral oncology (with emphasis on tongue cancer mechanisms and surgical interventions), diabetes pathophysiology (leveraging continuous glucose monitoring and activity tracking), vascular reconstruction techniques, and orthopaedic biomechanics. Dr. Kappert employs finite element analysis, eye-tracking technology, and tissue engineering approaches to develop patient-specific surgical solutions, frequently collaborating with clinicians through the DIAbetes and LifEstyle Cohort Twente (DIALECT) study. Recent publications demonstrate a clear translational trajectory from computational modeling to clinical implementation, with 2024-2025 work focusing on limb salvage surgery, diabetes phenotyping through activity clustering, and precision orthopaedic guides for complex foot deformities. This output reflects growing expertise in converting biomechanical simulations into actionable clinical tools. As an active member of the TechMed Centre, Dr. Kappert contributes to this interdisciplinary hub that integrates engineering, computer science, and medical expertise to develop next-generation healthcare technologies through shared facilities and cross-departmental collaboration.

Dolly Ann Padovani-Claudioمشاهده پروفایل

استادیار

• Vascular Diseases of the Retina
• Diabetic Retinopathy
• Pediatric Ophthalmology
• +۳ مورد دیگر

Dolly Ann Padovani-Claudio serves as Assistant Professor of Ophthalmology and Visual Sciences at Vanderbilt University School of Medicine. She provides clinical care at the Vanderbilt Eye Institute and Tennessee Lions Eye Center, specializing in pediatric ophthalmology and strabismus management for both children and adults. Dr. Padovani-Claudio earned her bachelor's degree in Industrial Biotechnology from the University of Puerto Rico at Mayagüez, followed by combined M.D. and Ph.D. (Neuroscience) degrees through Case Western Reserve University's Medical Scientist Training Program. She completed ophthalmology residency and pediatric ophthalmology/strabismus fellowship at the University of Michigan's W.K. Kellogg Eye Center. Her research laboratory focuses on diabetic retinopathy pathogenesis, specifically investigating inflammatory processes and vascular growth mechanisms in the retina. She pioneers drug repurposing strategies to accelerate therapeutic development for vision-threatening conditions. Current funding includes NIH and Knights Templar Eye Foundation grants. Recent publications demonstrate evolving research themes spanning molecular mechanisms of retinal disease (2023-2024), healthcare disparities (2022-2025), and innovative phenotyping methodologies (2023). Her work appears in high-impact journals including Proceedings of the National Academy of Sciences and Progress in Retinal and Eye Research . Arthur P. Gold Foundation Humanism and Excellence in Teaching Award Resident Teaching Award, Kellogg Eye Center Emerging Vision Scientist, National Alliance for Eye and Vision Research Knights Templar Eye Foundation Research Grant ARVO Leadership Development Program for Women Graduate Dr. Padovani-Claudio actively mentors through Vanderbilt's Women On Track initiative and serves on the ARVO Diversity Initiatives Committee. Her laboratory collaborates with Vanderbilt's Center for Personalized Microbiology and Program in Computational Microbiology. Future research directions include developing novel anti-inflammatory therapies for diabetic retinopathy and expanding investigations into pediatric ocular complications of systemic metabolic disorders.

• Joint biomechanics
• Sensor development and fabrication
• Implant design
• +۷ مورد دیگر

Josh Roth is an Assistant Professor at the University of Wisconsin-Madison, with dual appointments in the Department of Mechanical Engineering and the Department of Orthopedics & Rehabilitation. His research bridges engineering and clinical domains to advance personalized treatments for musculoskeletal injuries and diseases through translational innovations. Education: PhD in Biomedical Engineering (2016), University of California, Davis MS in Biomedical Engineering (2014), University of California, Davis BS in Biomedical Engineering (2009), California Polytechnic State University His research focuses on joint biomechanics , sensor development , and implant design , leveraging computational modeling and experimental methodologies to address patient variability. Recent articles highlight advancements in shear wave tensiometry , knee arthroplasty , and dynamic tissue analysis . Scientific awards include NIH NRSA F32 Fellowship (2021), multiple Orthopedic Research Society NIRA Finalist recognitions (2017-2023), and the WARF Accelerator Grant (2024). His teaching portfolio spans graduate and undergraduate courses in biomedical and mechanical engineering, including Orthopaedic Biomechanics and independent research mentorship.

Chung Hyun Gohمشاهده پروفایل

استادیار

• Biomechanical Engineering
• Rehabilitation Robotics
• Medical Device Design
• +۳ مورد دیگر

Dr. Chung Hyun Goh is an Assistant Professor of Mechanical Engineering at the University of Texas at Tyler. He joined the university in 2015 after serving as a senior research associate at the University of Oklahoma’s Systems Realization Laboratory from 2012 to 2015. With a Ph.D. in Mechanical Engineering from Georgia Institute of Technology (2002), Dr. Goh has extensive experience in both industry and academia. His research focuses on biomechanical engineering, rehabilitation robotics, medical device design, and computational modeling. Notable projects include developing the RoboREHAB robotic training device and optimizing orthopedic implants using deep learning and finite element analysis. He has authored over 30 peer-reviewed publications and contributed to interdisciplinary design methodologies. Education: B.S., Ordnance Engineering, Korea Military Academy, Seoul, Korea, 1987 M.S.M.E., Mechanical Engineering, Oklahoma State University, 1992 Ph.D., Mechanical Engineering, Georgia Institute of Technology, 2002 Research Interests: Dr. Goh’s work integrates robotics, machine learning, and computational techniques to address challenges in rehabilitation engineering, medical device optimization, and materials science. His recent projects emphasize gait rehabilitation systems, exoskeleton design, and predictive modeling for vascular health. He also explores decision support systems for materials selection and process optimization in manufacturing. Publications: His research spans 30+ articles in journals and conferences, focusing on biomechanics, robotics, and computational methods. Key themes include finite element analysis, reinforcement learning applications in robotics, and interdisciplinary design frameworks. Advising & Grants: While no specific grants or advisees are listed, Dr. Goh’s contributions to collaborative projects suggest active involvement in interdisciplinary research teams. Labs/Teams: Though specific lab affiliations are not detailed, his work aligns with robotics and computational engineering research groups.

Alkiviadis Tsamisمشاهده پروفایل

استادیار

• Biomechanics
• Biomedical Engineering
• Materials Science
• +۵ مورد دیگر

Dr. Alkiviadis Tsamis is an Assistant Professor in the Department of Mechanical Engineering at the University of Western Macedonia (Polytechnic School). His research focuses on the mechanics and engineering of soft biological materials, integrating multi-scale experimental and computational techniques. Key areas include ECM microenvironment characterization, fiber-reinforced biomaterials, and nanofabrication technologies. Educations: PhD in Biotechnology & Bioengineering (2010), École Polytechnique Fédérale de Lausanne (EPFL) Mechanical Engineering Diploma (2004), National Technical University of Athens (NTUA) Research Interests: Mechanical behavior of soft biological materials ECM microstructure analysis Fluorescence imaging techniques Bio-inspired material design Multi-scale modeling in biomechanics Notable Research Trends (2020–2025): Recent work emphasizes nanofiber-based drug delivery systems (e.g., PCL/PLGA/HA scaffolds), smart hydrogel materials with radiative cooling properties, and fibronectin-based biosensors for 3D strain mapping. Collaborations span biomechanical modeling of vascular systems and magnetoactive collagen hydrogels. Awards: Aging Cell’s Best Paper 2017 (2017) IEEE Award for Novel Scientific Project (2004) Teaching: Courses include Engineering Statics, Biomedical Engineering, and Tissue Biomechanics at postgraduate level. Active in curriculum development for additive manufacturing and mechanical design.

• Machine Learning
• Natural Language Processing
• Healthcare Applications
• +۷ مورد دیگر

Frank Rudzicz is a Professor at the University of Toronto with appointments in the Faculty of Medicine and Department of Computer Science. His research bridges machine learning, natural language processing, and healthcare applications, with a particular focus on developing AI solutions for medical diagnostics, surgical assistance, and patient care. He leads several research initiatives in medical AI and collaborates extensively with clinicians and healthcare institutions. Rudzicz's research interests span multiple critical areas in healthcare AI. He has pioneered work in speech-based detection of neurological conditions including Alzheimer's and Parkinson's diseases, developing algorithms that analyze linguistic patterns to identify early signs of cognitive decline. His work in surgical AI has led to systems that provide real-time decision support during operations and analyze surgical performance. He also investigates ethical AI implementation in healthcare, addressing privacy concerns and developing frameworks for trustworthy clinical AI systems. More recently, his research has expanded into large language models for medical applications, focusing on privacy preservation, fairness, and explainability in clinical contexts. His publication record shows a clear evolution from foundational work in speech processing and dysarthria recognition toward increasingly sophisticated medical AI applications. Early work focused on improving speech recognition for impaired speakers, which naturally led to applications in neurological disorder detection. Over the past decade, his research has expanded to encompass broader healthcare applications, with recent work heavily featuring transformer models, multimodal data integration, and ethical considerations in medical AI deployment. His current research demonstrates strong emphasis on practical implementation challenges including model security, privacy preservation, and clinical integration of AI systems. Rudzicz has received recognition for his work, including best paper awards at major conferences like ICLR 2025. His research has been supported by numerous grants focusing on AI in healthcare, though specific grant details aren't provided in the available text. He has mentored numerous graduate students who have gone on to contribute significantly to medical AI research. As a leader in medical AI, Rudzicz contributes to major collaborative efforts including the Delphi consensus statement for digital surgery. His work frequently appears in top-tier AI and medical journals, demonstrating his ability to bridge the technical and clinical domains. Through his research group at the University of Toronto, he continues to advance the frontier of AI applications in healthcare while addressing the practical and ethical challenges of implementing these technologies in real clinical settings.

• Magnetic Resonance Imaging
• Medical Imaging
• Biomedical Engineering
• +۳ مورد دیگر

Aaron T Anderson is an Adjunct Clinical Assistant Professor in Veterinary Clinical Medicine at the University of Illinois at Urbana-Champaign. He is affiliated with the Beckman Institute for Advanced Science and Technology and the Center for Social & Behavioral Science. His research focuses on advanced imaging techniques such as magnetic resonance elastography (MRE), high-field MRI, and computational methods for medical image reconstruction. His work spans applications in neurology, oncology, and veterinary medicine, emphasizing non-invasive diagnostic tools and biomechanical analysis. Anderson’s educational background and specific degrees are not explicitly detailed in the provided text. However, his professional roles indicate expertise in biomedical engineering and clinical medicine. His research collaborations involve multidisciplinary teams exploring topics like concussion epidemiology, image reconstruction algorithms, and surgical implant compatibility with MRI. His research interests include optimizing MRI techniques for ultrahigh-field applications, developing machine learning tools for medical imaging analysis, and applying MRE to study tissue stiffness in neurological and oncological contexts. Recent work involves innovations in spatiotemporal denoising, subspace modeling, and 4D visualization tools for stereoelectroencephalography (SEEG) data. While no scientific awards are explicitly mentioned, his contributions to peer-reviewed journals and technical conferences highlight his impactful research in medical imaging. Anderson is actively involved in the Biomedical Imaging Center at the Beckman Institute, driving advancements in imaging technologies and their clinical applications.

• Cardiothoracic Surgery
• Surgical Planning
• Virtual Reality in Medicine
• +۳ مورد دیگر

Wouter Bakhuis is a Researcher at the Department of Cardiothoracic Surgery, Erasmus MC – University Medical Center Rotterdam. His work focuses on advancing surgical techniques through innovative technologies like virtual reality (VR) and 3D printing for preoperative planning. He completed his doctoral thesis in 2025, titled *Virtual reality planning in cardiothoracic surgery: From pilot to practice*, which explores the integration of VR into clinical practice. His research interests include optimizing surgical strategies for complex cases such as congenital heart defects (e.g., Double Outlet Right Ventricle) and thoracic procedures like segmentectomies. He emphasizes patient-specific planning to enhance surgical precision and outcomes. Collaborations with institutions globally highlight his contributions to minimally invasive techniques and anatomical resections. Notable research outputs address challenges in surgical planning, such as managing translobar venous drainage and refining segmentectomy approaches. His review articles underscore the transformative potential of VR in surgical training and future practice. While no scientific awards are explicitly listed, his work has garnered significant citations and reader engagement in academic platforms like Mendeley.