جست‌وجوی استاد و پژوهشگر

Boris Keilمشاهده پروفایل

استاد

• Magnetic Resonance Imaging
• MRI Technology Development
• Medical Physics
• +۵ مورد دیگر

Professor Boris Keil is a faculty member at Technische Hochschule Mittelhessen (THM) in the Department of Electrical Engineering and Information Technology (Fachbereich LSE), where he serves as Director of the Institute of Medical Physics and Radiation Protection (IMPS). His office is located at Ringallee 35 D13.3.06, and he holds office hours on Fridays at 16:00 via Zoom. Dr. Keil's research focuses on developing MRI technology for clinical and scientific investigation, with a broad aim of increasing the sensitivity of the MR imaging modality to improve human health. His work centers on new instrumental development to acquire MRI data in a highly parallel fashion, enabling imaging at previously inaccessible speed and sensitivity. Much of his current research addresses the challenges of ultra-high field MR through the development of new detectors and transmitter designs, with the goal of establishing proof-of-concept ideas in MRI instrumentation closer to clinical settings. His publication record demonstrates significant contributions to the field of MRI technology, with numerous peer-reviewed journal articles and conference proceedings spanning topics from RF safety with implants to advanced coil design and high-field neuroimaging. His work often involves collaborations with institutions like Massachusetts General Hospital and Harvard Medical School, particularly with the Wald MRI group. The 15 most recent publications show a consistent focus on advancing MRI hardware, safety considerations for patients with implants, and developing techniques for higher resolution and more sensitive imaging. Poster Award at International Society for Magnetic Resonance in Medicine, 19th Annual Meeting (2011) Poster Award at 1st International High Field Symposium Berlin (2010) Poster Award at German Society for Medical Physics 19th Annual Meeting (2009) Poster Award at 81st Annual Meeting of German Society for Neurology (2008) Professor Keil teaches several courses including Magnetic Resonance Imaging (LSE-WP-23), Electronic Circuits (LSE-1204), Circuits, Signals, and Systems (LSE-1409), and Rapid-Prototyping (LSE-WP-118), demonstrating his commitment to both advanced MRI technology education and foundational electrical engineering principles. His work bridges the gap between engineering innovation and clinical application, with numerous publications addressing practical challenges in bringing advanced MRI techniques into real-world medical settings.

Marta Correiaمشاهده پروفایل

پژوهشگر ارشد

• Magnetic Resonance Imaging
• Neuroscience
• Diffusion MRI
• +۳ مورد دیگر

Dr. Marta Correia is a Senior Investigator Scientist at the MRC Cognition and Brain Sciences Unit, University of Cambridge, and a Fellow in Biological Sciences at Downing College. She leads the MRI facility at MRC CBU, focusing on advanced neuroimaging techniques. She holds a PhD and specializes in developing quantitative MRI methods for neuroscience applications. Her research integrates Magnetic Resonance Imaging (MRI) , diffusion MRI , and high-resolution fMRI to study brain microstructure and function. Key interests include: Developing diagnostic models for Parkinson's disease and atypical Parkinsonism Motion correction algorithms for submillimeter fMRI Diffusion kurtosis imaging for tractography and biomarker discovery Applications in traumatic brain injury, stroke, and healthy aging Her publications demonstrate a consistent focus on methodological innovations in MRI , particularly motion correction, diffusion imaging, and 7T fMRI techniques. Recent work emphasizes machine learning for disease differentiation and harmonization of multi-site neuroimaging data. She directs the MRI facility at MRC CBU, supporting neuroimaging research infrastructure and collaborations. No awards or student advisement details are provided in the source texts.

• Neuroimaging
• Magnetic Resonance Imaging
• Cardiovascular Imaging
• +۳ مورد دیگر

Christopher Rodgers serves as a Visiting Scientist and Wellcome Trust Sir Henry Dale Fellow at the University of Oxford, affiliated with the Oxford Centre for Clinical Magnetic Resonance Research and Merton College. His research focuses on advancing ultra-high-field (7 Tesla) magnetic resonance imaging techniques for clinical neuroscience and cardiovascular applications, particularly in cerebrovascular and metabolic studies. His primary research interests encompass neuroimaging, cardiovascular imaging, and 7T MRI methodology development. Specific expertise includes cerebrovascular disease analysis (lenticulostriate arteries, Charcot-Bouchard aneurysms), cardiac metabolism mapping, and neurochemical marker identification. His work bridges engineering innovation with clinical neurology and cardiology through advanced MRI protocol development. Recent publications demonstrate a cohesive research trajectory in pushing 7T MRI boundaries across neurological and cardiovascular domains. Key themes include deep learning applications for vascular morphology, high-resolution aneurysm visualization, metabolic imaging techniques, and epilepsy evaluation protocols. These studies collectively advance diagnostic capabilities for cerebrovascular disorders and cardiac pathologies. Scientific Awards: Wellcome Trust Sir Henry Dale Fellowship As a Wellcome Trust Fellow, Rodgers leads independent research within the Neubauer Group, driving innovation in clinical MRI. His work involves securing competitive funding for high-field imaging projects and collaborating with multidisciplinary teams across Oxford's neuroscience and cardiology departments to translate technical advances into clinical practice. Rodgers operates within the Oxford Centre for Clinical Magnetic Resonance Research, leveraging specialized 7T MRI infrastructure. His work integrates with Merton College's academic community while collaborating extensively with the Neubauer Group on developing next-generation imaging protocols for neurological and cardiovascular applications.

Yu Zhangمشاهده پروفایل

عضو هیئت علمی

• Second language acquisition
• Pedagogy
• Assessment
• +۳ مورد دیگر

Yu Zhang is an Assistant Teaching Professor of Chinese at the University of Colorado Boulder within the College of Arts & Sciences. She holds a BA in Teaching Chinese to Speakers of Other Languages from Beijing Foreign Studies University and an MA in Applied Linguistics from Teachers College, Columbia University. Prior to joining CU Boulder, she taught Chinese language courses at Princeton University, Columbia University, and the Princeton in Beijing summer program. Her research focuses on second language acquisition, pedagogical strategies, and assessment methodologies. Additionally, her technical research contributions span power electronics and wireless power systems, with a focus on GaN FET-based converter designs for high efficiency and compact power solutions. Education: Bachelor of Arts in Teaching Chinese to Speakers of Other Languages, Beijing Foreign Studies University Master of Arts in Applied Linguistics, Teachers College, Columbia University Research Interests: Her interdisciplinary work bridges language education and engineering innovation. In language pedagogy, she explores teaching methodologies for non-native speakers. Simultaneously, her technical publications address challenges in power electronics, including high-frequency converters, wireless power transfer, and GaN FET applications in energy-efficient systems. Advising & Grants: No advisees or grant details are explicitly listed in the provided texts. Her contributions lie primarily in teaching and technical research publications. Labs/Teams: No specific lab or team affiliations are mentioned in the provided information.

Filiz Yetisirمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Physics
• Magnetic Resonance Imaging
• +۵ مورد دیگر

Filiz Yetisir is a Research Fellow at the Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, specializing in electromagnetic field optimization for fetal MRI safety and imaging enhancement since 2017. Her work bridges biomedical engineering and clinical applications to address critical safety challenges in prenatal diagnostics. Education: BSc in Electrical and Electronics Engineering, Bilkent University, Turkey (2011) MSc and PhD in Electrical Engineering and Computer Science, MIT (2014, 2017) Research Focus: Dr. Yetisir pioneers computational modeling of radiofrequency (RF) exposure in fetal MRI, with emphasis on reducing tissue heating , mitigating dielectric shading via parallel transmission , and developing pregnancy-specific thermal simulators. Her methodology integrates patient-specific safety management to accelerate imaging while minimizing motion artifacts—a critical advancement for vulnerable fetal subjects. Publication Trends: Her 2019-2025 publications reveal a cohesive trajectory toward personalized fetal MRI safety protocols , evolving from foundational SAR modeling to real-time RF shimming solutions. Key themes include field-strength optimization (1.5T-7T), computational fetal motion simulation, and quantitative placental oxygenation metrics, consistently targeting clinical translation. Scientific Recognition: Merrill Lynch Fellowship (MIT) Research Environment: As part of Boston Children's Fetal Neonatal Neuroimaging Center, she collaborates with obstetricians, radiologists, and engineers to transform fetal MRI from a diagnostic tool into a dynamic platform for developmental neuroscience, with ongoing work focused on AI-driven safety prediction systems.