جست‌وجوی استاد و پژوهشگر

Kevin C. Zhouمشاهده پروفایل

استادیار

• Computational Imaging
• Biomedical Engineering
• Optical Systems
• +۳ مورد دیگر

Kevin C. Zhou is an Assistant Professor in the Department of Biomedical Engineering at the University of Michigan. His research focuses on developing high-performance computational optical imaging systems with unprecedented spatiotemporal throughput, integrating advanced optical instrumentation with machine learning-driven algorithms to analyze big data in biology and medicine. His lab specializes in creating imaging systems capable of capturing high-resolution, high-speed, and high-dimensional datasets. Dr. Zhou holds a Ph.D. in Biomedical Engineering from Duke University (NSF GRFP Fellow) and a B.S. in Biomedical Engineering from Yale University (Barry Goldwater Scholar). Prior to joining U-M, he was a Schmidt Science Fellow and postdoctoral researcher at UC Berkeley. Key research areas include: High-throughput microscopy (gigapixel-scale systems) 3D tomographic imaging Light field and Fourier-based imaging modalities Machine learning for image reconstruction and analysis Biomedical applications in cellular/molecular imaging His recent work has advanced technologies like multi-camera array microscopes (MCAM/MCAS) and Fourier light field mesoscopes, achieving video-rate 3D imaging of freely moving organisms. These innovations enable applications in digital cytopathology, behavioral tracking, and high-content biological studies. Notable awards include the NSF Graduate Research Fellowship and Barry Goldwater Scholarship. His research has been featured in top journals and conferences with a focus on advancing optical imaging hardware and computational pipelines.

Yuankai Taoمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Medical Imaging Technologies
• Optical Imaging Systems
• +۹ مورد دیگر

Yuankai (Kenny) Tao is an Associate Professor of Biomedical Engineering at Vanderbilt University's School of Engineering and an SPIE Faculty Fellow. He directs the Graduate Studies program in Biomedical Engineering and leads research in optical imaging systems for clinical diagnostics and therapeutic monitoring in ophthalmology, gastroenterology, and oncology. His lab develops technologies like intraoperative OCT and SECTR, focusing on noninvasive subcellular visualization and biomarker monitoring. Collaborations span engineering, basic sciences, and medicine to translate innovations into clinical tools. Education: Ph.D., Biomedical Engineering, Duke University M.S., Biomedical Engineering, Duke University B.S.E., Biomedical Engineering and Electrical Engineering, Duke University Research Interests: Biomedical optics, optical coherence tomography (OCT), image-guided surgery, therapeutic monitoring, big data analytics, and high-throughput imaging for drug discovery. His work bridges engineering and medicine, emphasizing real-time feedback systems and interdisciplinary innovation. Grants & Labs: Director of the Vanderbilt Institute for Surgery and Engineering (VISE)-affiliated lab, focusing on surgical imaging and translational research. Projects include automated instrument tracking, SECTR systems, and AI-driven imaging analysis. Collaborations involve clinicians and researchers across disciplines.

• Ophthalmology
• Corneal Endothelial Health
• Cataract Surgery Outcomes
• +۳ مورد دیگر

Clinical Associate Professor Keith Ong is affiliated with the University of Sydney’s Northern Clinical School, specifically within the Department of Clinical Ophthalmology & Eye Health. His clinical specialty is Ophthalmology, with a focus on corneal endothelial health, glaucoma surgery outcomes, and cataract surgical techniques. His research addresses critical areas such as postoperative ocular toxicity, intraocular lens calculations, and infection control in eye surgeries. Dr. Ong’s publications (2011–2023) consistently explore topics like corneal endothelial changes post-trabeculectomy, refractive error management post-cataract surgery, and antibiotic prophylaxis strategies. Recent work emphasizes optimizing surgical techniques to reduce complications, such as BAK-induced corneal toxicity and IOL power calculation accuracy in LASIK patients. His work demonstrates a focus on improving surgical safety and precision, with studies evaluating alternative antibiotic delivery methods and laser therapy impacts. No awards or grants are explicitly noted in the provided text, but his contributions to clinical practice and surgical protocols are evident through his publication record.

Pengyu Chenمشاهده پروفایل

دانشیار

• Nanoplasmonic Biosensors
• Single-cell Analysis
• Precision Medicine
• +۳ مورد دیگر

Pengyu Chen is Francis Family Associate Professor and Ginn Faculty Achievement Fellow in Materials Engineering at Auburn University. His NIH-funded research develops nanoplasmonic biosensors for rapid disease diagnosis and immune monitoring, with applications in precision medicine and cancer immunotherapy. Research focuses on: Rapid diagnostic technologies for COVID-19 and other diseases Single-cell analysis platforms Nanoparticle-based cancer therapies Food/environmental safety monitoring Recent publications demonstrate innovations in nanoplasmonic sensing, targeted drug delivery, 3D-printed implants, and tumor microenvironment analysis. His work integrates nanotechnology, immunology, and microfluidics for biomedical applications.

Xenophon Papademetrisمشاهده پروفایل

استاد

• Medical Image Analysis
• Machine Learning
• Biomedical Software Development
• +۷ مورد دیگر

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.

Matthew Holdenمشاهده پروفایل

دانشیار

• Surgical Data Science
• Machine Learning
• Computer-Assisted Surgery
• +۳ مورد دیگر

Matthew Holden is an Associate Professor in the School of Computer Science at Carleton University. He holds a PhD (2018) and MSc (2014) from Queen's University and a BScH (2012) from Western University. His research focuses on Surgical Data Science, applying machine learning to surgical time-series data from operating rooms and simulations to improve patient outcomes and surgical training. Key areas include real-time decision support, performance assessment, and surgical efficiency through domain-knowledge integration. Research interests emphasize machine learning for surgical workflows, skill assessment via sensor data (e.g., motion tracking, EEG), and computer-assisted interventions. Notable work includes automated proficiency evaluation in cataract surgery, ultrasound-guided procedures, and neurosurgical training. His contributions span medical robotics, surgical education, and clinical decision support systems. Publications highlight advancements in surgical workflow anticipation, tool detection, and skill metrics across domains like ophthalmology, emergency medicine, and neurology. Holden advocates for interdisciplinary approaches combining computational methods with clinical expertise to enhance healthcare delivery.

Donald T. Millerمشاهده پروفایل

استاد

• Adaptive Optics
• Optical Coherence Tomography
• Retinal Imaging
• +۳ مورد دیگر

Donald T. Miller is a Professor at Indiana University School of Optometry, where he teaches optics to professional and graduate students while leading cutting-edge research in high-resolution retinal imaging. He serves as Graduate Faculty with endorsement to chair PhD committees and maintains an active laboratory developing adaptive optics and optical coherence tomography systems. His educational background includes: Ph.D. in Optics, University of Rochester (1996) B.S. in Applied Physics, Xavier University (1988) Dr. Miller's research pioneers "living histology" – observing cellular processes in the living retina through advanced optical imaging. His work focuses on developing instruments that capture structural and physiological changes at the cellular level, enabling early detection of retinal pathologies. Key innovations include adaptive optics correction for ocular aberrations and MEMS-based OCT systems, with applications targeting age-related macular degeneration, glaucoma, and diabetic retinopathy. His recent publications (2020-2024) demonstrate an evolution from instrument development toward clinical translation, emphasizing ultrafast imaging techniques and cellular-level analysis of retinal diseases. The research consistently bridges optical engineering, neuroscience, and ophthalmology to achieve unprecedented in vivo visualization. Scientific recognition includes: 2024 Rank Prize in Optoelectronics for adaptive optics retinal imaging R&D 100 Award for MEMS-based OCT development Trustees’ Teaching Award (twice) Fellow of the Optical Society of America As a mentor, Dr. Miller chairs PhD committees and leads the Miller Lab – a hub for optical innovation with strong NIH R01 funding. His lab collaborates with the Center for Adaptive Optics and NIH Bioengineering Research Partnerships, translating fundamental optics research into clinical applications. Current work focuses on ultrafast adaptive optics for real-time cellular imaging and glaucoma diagnostics. The Miller Lab operates within Indiana University's vibrant vision research ecosystem, developing instruments that reveal cellular details across full retinal thickness. Their current projects include characterizing retinal ganglion cells in glaucoma and advancing adaptive optics for earlier blindness prevention.

Nicholas J Volpeمشاهده پروفایل

استاد

• Ophthalmology
• Neuro-ophthalmology
• Medical Education
• +۴ مورد دیگر

Nicholas J Volpe, MD is the Chair of the Department of Ophthalmology and George W. and Edwina S. Tarry Professor of Ophthalmology at Northwestern University's Feinberg School of Medicine. He leads the Department of Ophthalmology within the Feinberg School of Medicine, overseeing clinical, educational, and research activities in ophthalmology. Dr. Volpe received his education from Stuyvesant High School (1980), Brooklyn College of CUNY (BS, 1983), and SUNY/State University of New York (MD, 1987). His postgraduate training included an internship in Medicine at Beth Israel Medical Center (1988), residency in Ophthalmology at Massachusetts Eye & Ear Infirmary, Harvard Medical School (1991), fellowship in Neuro-ophthalmology at Massachusetts Eye & Ear Infirmary, Harvard Medical School (1992), and served as Chief Resident in Ophthalmology at Massachusetts Eye & Ear Infirmary, Harvard Medical School (1993). He is board certified in Ophthalmology by the American Board of Ophthalmology. Dr. Volpe's research spans neuro-ophthalmology, retinal diseases, glaucoma, and medical education. His work includes investigations into optic nerve disorders, neurodegenerative diseases with ophthalmic manifestations, imaging technologies like Optical Coherence Tomography, and innovative approaches to ophthalmology education and surgical training. His recent publications show a trend toward integrating advanced imaging techniques, artificial intelligence applications in ophthalmic diagnosis, and exploring connections between systemic diseases and ocular manifestations. Dr. Volpe has received numerous awards and honors throughout his career: American Ophthalmological Society membership (2015) Honor for 'A.E. Finley Distinguished Visiting Professor', University of North Carolina (2014) Dubins Professor, Albany Medical College (2010) Silver Apple for Best Surgery Teacher, University of Pennsylvania (multiple years) Senior Achievement Award, American Academy of Ophthalmology (2008) Marianna Mead Lectureship, Massachusetts Eye and Ear Infirmary (2007) Robert Dunning Dripps Memorial Award for Excellence in Graduate Medical Education (2006) As an educator, Dr. Volpe has held numerous leadership positions in medical education, including Chair of the Residency Selection Committee at the Scheie Eye Institute, University of Pennsylvania, and various roles with the American Academy of Ophthalmology's education committees. He has been instrumental in developing surgical simulation programs and innovative approaches to ophthalmology residency training. His department has received significant research funding, including grants from Research to Prevent Blindness to support investigators advancing the field of ophthalmology and vision science. Dr. Volpe serves in numerous professional leadership roles and is actively involved with multiple ophthalmology and neuro-ophthalmology societies.

Franziska Mathis-Ullrichمشاهده پروفایل

استاد

• Surgical Robotics
• Medical Robotics
• Artificial Intelligence in Medicine
• +۳ مورد دیگر

Prof. Dr. Franziska Mathis-Ullrich is a Professor at Friedrich-Alexander-University Erlangen-Nuremberg (FAU) leading the Surgical Planning and Robotic Cognition Lab (SPARC) in the Department of Artificial Intelligence in Biomedical Engineering. Previously, she was an Assistant Professor at Karlsruhe Institute of Technology (KIT) from 2019 to 2023. Her research focuses on minimally invasive robotic systems, soft robotics, and embedded machine learning for surgical applications. She holds a PhD in Microrobotics from ETH Zurich (2017), with earlier degrees from the same institution. Education: B.Sc. and M.Sc. in Mechanical Engineering and Robotics (ETH Zurich, 2009–2012) Ph.D. in Microrobotics (ETH Zurich, 2017) Research Interests: Minimally invasive medical robotics, soft robotic systems, AI-driven surgical assistance, microrobotics, and robot-assisted surgery. Her work emphasizes translating robotics innovations into clinical applications through interdisciplinary collaboration. Key Awards: IEEE ICRA Best Paper Award in Medical Robotics (2014) IEEE BioRob Best Student Paper Award (2016) ICRA Microassembly Challenge First Prize (2014 & 2015) Forbes 30 under 30 (2017) Grants & Projects: Leading a Bavarian State Ministry-funded project on endometriosis diagnostics (€3M). Active in multidisciplinary collaborations with Erlangen University Hospital. Serves as Vice-President of the German Society for Computer- and Robot-assisted Surgery (CURAC). Labs & Teams: Directs the SPARC Lab, which develops cognitive robotic systems for surgical planning and execution. Collaborates with institutions like Max Planck, Fraunhofer, and Helmholtz.

• Optical Imaging
• Biomedical Device and Instrumentation
• Medical Image Analysis
• +۲ مورد دیگر

Jungeun (Jenny) Won is an Assistant Professor of Research in the Department of Biomedical Engineering at the School of Engineering and Applied Sciences, University at Buffalo. Her research focuses on optical imaging , biomedical device development , medical image analysis , and artificial intelligence in OCT . She leads the Translational Biophotonics Laboratory , where she develops advanced OCT techniques for medical applications such as diabetic retinopathy , otitis media , and biofilm analysis . Contact: 215J Bonner Hall, Buffalo NY 14260, jungeunw@buffalo.edu Related Links: CV PDF , Google Scholar , Lab Website Her recent work involves high-resolution OCT for longitudinal studies on retinal degeneration, VISTA OCTA for blood flow analysis, and 3D motion correction algorithms to enhance image quality. She also explores multimodal imaging combining OCT with Raman spectroscopy for bacterial differentiation and microplasma-based therapies for ear infections.

Melanie Campbellمشاهده پروفایل

استاد

• Biomedical Optics
• Retinal Imaging
• Alzheimer's Disease Diagnosis
• +۴ مورد دیگر

Melanie Campbell is a Professor at the University of Waterloo, cross-appointed to the School of Optometry and Department of Systems Design Engineering. Her research focuses on the optical properties of the eye, developing imaging systems for diagnosing Alzheimer's disease and diabetic retinopathy through polarization techniques and adaptive optics. PhD in Physics from Australian National University (1982) MSc in Physics from University of Waterloo (1977) BSc in Chemical Physics from University of Toronto (1975) Research interests include: Retinal amyloid detection for Alzheimer's diagnosis Adaptive optics for high-resolution imaging Polarimetry in ocular pathology Presbyopia and ophthalmic corrections Her publications (2012-2019) demonstrate interdisciplinary applications of optics in neuroscience and diabetes research, with key contributions to: Retinal polarization imaging Two-photon therapy systems Cone photoreceptor analysis Animal models of neurodegeneration Scientific honors include: 2019 Laird Lecturer 2014 CAP-INO Medal 2004 Rank Prize in Optoelectronics Fellow of Optical Society of America As director of Campbell Labs, she leads research on retinal imaging techniques and their applications in neurological disease diagnosis.

• Ophthalmology
• Biomedical Optics
• Vision Science
• +۵ مورد دیگر

Marco Ruggeri, Ph.D. , is a Researcher in the Ophthalmology department at the University of Miami Miller School of Medicine , affiliated with the Bascom Palmer Eye Institute . His work focuses on advanced imaging techniques and biomechanical properties of ocular tissues. University: University of Miami School: Miller School of Medicine Department: Bascom Palmer Eye Institute - Ophthalmology Research Interests Marco Ruggeri's research spans several critical areas in ophthalmology and biomedical optics. He specializes in Optical Coherence Tomography (OCT) for dynamic imaging of ocular structures, including the ciliary muscle and crystalline lens . His work investigates refractive index variations in aging lenses, the viscoelastic properties of ocular tissues , and design optimization of intraocular lenses . Additionally, he explores handheld imaging systems for retinal diagnostics and biomechanical changes during accommodation and disaccommodation. Ruggeri's interdisciplinary approach bridges optical engineering , clinical ophthalmology , and biophysics to advance understanding of eye function and disease. Publications & Collaborative Work Ruggeri has authored peer-reviewed studies on OCT validation for lens shape estimation, age-related refractive index shifts, and peripheral defocus in intraocular lens design. His collaborative efforts include developing portable imaging devices and analyzing biomechanical responses to ocular treatments.

• Myopia Genetics
• Genomic Epidemiology
• Vision Science
• +۳ مورد دیگر

Professor Jeremy Guggenheim is a leading researcher in myopia genetics at Cardiff University's School of Optometry and Vision Sciences. With over two decades of research experience, he has made significant contributions to understanding the genetic and environmental factors contributing to short-sightedness. His work has been instrumental in identifying over four hundred genetic variants associated with myopia susceptibility through international collaborative efforts. His research interests span myopia genetics, genomic epidemiology, and the gene-environment interactions that influence refractive error development. Professor Guggenheim employs advanced genetic techniques including genome-wide association studies, Mendelian randomization, and polygenic risk scoring to unravel the complex etiology of myopia. His work bridges basic science discoveries with clinical applications for early detection and prevention of high myopia. Analysis of his recent publications (2023-2025) reveals a strong focus on genetic risk prediction, environmental modifiers of myopia development, novel treatment mechanisms, and international consensus building for myopia management. His work increasingly incorporates machine learning approaches for disease detection while maintaining a strong foundation in genetic epidemiology. College of Optometrists Biennial Arthur Bennett Prize for Outstanding Research (2012/2013) ARVO Gold Fellow Award (2022) Professor Guggenheim has supervised numerous PhD students throughout his career and currently leads the Investigative Techniques undergraduate module. He serves on editorial boards for Ophthalmic & Physiological Optics, Translational Vision Science & Technology, and as Associate Editor for Investigative Ophthalmology and Visual Science. His research is supported through multiple international collaborations including the Consortium for Refractive Error and Myopia (CREAM) and the UK Biobank Eye and Vision Consortium.

Frank E. Talkeمشاهده پروفایل

استاد

• Medical Device Technology
• Information Storage
• Tribology
• +۳ مورد دیگر

Frank E. Talke is the CMRR Endowed Chair Professor in the Department of Mechanical and Aerospace Engineering at UC San Diego. His research focuses on medical device technology and information storage systems. He has contributed to advancements in hard disk drive tribology, thermal flying height control, and biomedical innovations like intraocular pressure sensors and 3D-printed endoscopes. Talke holds over 350 publications and 11 patents, with honors including the ASME Medal, Tribology Gold Medal, and membership in the National Academy of Engineering. Education: Diplom-Ingenieur (1965, University of Stuttgart), M.S. and Ph.D. in Mechanical Engineering (1966, 1968, UC Berkeley), honorary doctorate from Technical University of Munich (2005). Research interests span interdisciplinary fields combining mechanical engineering, materials science, and precision instrumentation. Current projects include medical device development (e.g., biofilm-resistant catheters, detachable bronchoscopes) and information storage tribology. His work emphasizes translational applications in both engineering and healthcare sectors. Key Awards: ASME Medal (2008), Tribology Gold Medal (2010), Honorary ASME Membership (2018). Grants and Funding: Extensive industry and academic collaborations in disk drive technology and biomedical engineering. Labs/Teams: Leads the Center for Memory and Recording Research (CMRR), fostering interdisciplinary research in data storage and medical devices.

Mirko Nitschkeمشاهده پروفایل

پژوهشگر

• Biomaterials
• Polymer Science
• Surface Science
• +۳ مورد دیگر

Dr. Mirko Nitschke is a senior researcher at the Leibniz Institute of Polymer Research Dresden (IPF), affiliated with the Max Bergmann Center of Biomaterials Dresden. He has been instrumental in advancing polymer biomaterials science since joining the institute in 1996, focusing on plasma-based surface engineering and biocompatible material development for medical applications. His academic foundation includes: Graduate studies (1992-1996) at Chemnitz University of Technology, where he investigated FTIR Spectroscopic Investigation of Plasma Modified Polymer Surfaces Physics undergraduate degree (1987-1992) from Friedrich-Schiller-University Jena with thesis on Computer Simulation of Ion Trajectories in Solids Nitschke's research centers on plasma surface functionalization and polymer diagnostics to engineer biocompatible materials. His work bridges fundamental surface science with clinical applications, particularly in vascular stents, nerve regeneration, and corneal tissue engineering. Key innovations include thermo-responsive cell carriers and bioactive hydrogel coatings that respond to physiological cues. Analysis of his 15 most recent publications reveals a strong trajectory in advanced biomaterials characterization using ToF-SIMS and plasma techniques. His work increasingly integrates machine learning for spectral analysis while maintaining focus on medical device applications—particularly in cardiovascular and ophthalmic implants where surface-biology interactions dictate clinical success. As a core member of the Polymer Biomaterials Science Division, Nitschke collaborates extensively with clinical partners through the Max Bergmann Center's university-linked infrastructure. His laboratory specializes in plasma modification systems and surface analytics for next-generation biomaterials development.