جستجوی استاد راهنمای دانشگاهی

• Polymer Science
• Nanomedicine
• Biomedical Engineering
• +۵ مورد دیگر

You-Yeon Won is a Professor of Chemical Engineering at Purdue University's Davidson School of Chemical Engineering, part of the College of Engineering. He leads the Won Laboratory, focusing on polymer science and preclinical proof-of-concept research for polymeric nanomaterials with clinical applications. His work spans three main areas: polymer lung surfactants for respiratory distress syndrome, radioluminescence therapy for cancer radiotherapy, and sequence-controlled PLGA copolymers for drug delivery. Education: B.S. (Summa Cum Laude) from Seoul National University (1992), Ph.D. from the University of Minnesota (2000), followed by postdoctoral work at MIT and Harvard. Joined Purdue in 2003. Research Interests: The lab emphasizes translational research with societal impact, including nanoparticle-based drug delivery systems, polymer-based lung surfactants, and radiation-enhanced therapies. Key advancements include micelleplexes for gene delivery and the development of Polymer Lung Surfactants (PLS) for neonatal care. Awards: Over 20 honors including Most Impactful Faculty Innovator (Purdue, 2020/2023), ACS PRF New Directions Award, and recognition as a KIChE-US Outstanding Young Investigator (2007). His work has led to multiple patents in nanomedicine and drug delivery. Advising & Grants: Mentors graduate students (e.g., Daniel Fesenmeier, Dhushyanth Viswanath) and collaborates with industry and academic partners. Active in entrepreneurship through Purdue's Burton D. Morgan Center. Labs & Teams: The Won Lab includes researchers from undergraduate to visiting faculty levels, with ongoing projects in block copolymer engineering and nanotheranostics. Collaborates with institutions like Harvard, MIT, and Seoul National University.

Jeremy Gordonمشاهده پروفایل

دانشیار

• Medical Physics
• Magnetic Resonance Imaging (MRI)
• Metabolic Imaging
• +۳ مورد دیگر

Dr. Jeremy Gordon is an Associate Professor in the Department of Radiology & Biomedical Imaging at the University of California, San Francisco (UCSF). He holds a PhD in Medical Physics from the University of Wisconsin-Madison (2013) and a BS in Physics & Astronomy from the University of Georgia (2008). Prior to his faculty role, he worked as a postdoctoral scholar (2013–2016) and Senior Bioengineer (2016–2020) at UCSF. His research focuses on developing novel hyperpolarized MRI techniques for metabolic imaging, particularly in pancreatic cancer, multiple sclerosis, Alzheimer’s Disease, and brain perfusion studies. These methods leverage hyperpolarized 13C and x-nuclei to assess metabolic pathways and treatment responses. Key applications include non-invasive metabolic biomarker identification and improved clinical care for cancer and neurological disorders. Major awards include the Distinguished Reviewer Award (2018), RSNA ITARSc Program recognition (2017), and multiple merit awards from the International Society for Magnetic Resonance in Medicine (2013). He is affiliated with the Advanced Imaging Technologies Resource Group and the Hyperpolarized MRI Technology Resource Center at UCSF. Recent work emphasizes multi-center clinical trials, data standardization (DICOM integration), and open-source tools for X-nuclear imaging. His lab collaborates widely, with studies involving metabolic imaging of the brain, abdomen, and heart under various physiological conditions (e.g., glucose challenges).

Peter J. Basserمشاهده پروفایل

استاد پژوهش

• Quantitative Imaging
• Tissue Sciences
• Diffusion MRI
• +۷ مورد دیگر

Peter J. Basser is a leading research scientist at the National Institutes of Health (NIH), specifically within the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), where he heads the Section on Quantitative Imaging and Tissue Sciences (SQITS). His work bridges physics, engineering, and neuroscience to develop non-invasive MRI methods for probing tissue microstructure, particularly in the brain. His educational background is not explicitly mentioned, but his scientific achievements reflect deep training in biophysics and medical imaging. He earned his Ph.D. and has built a career at NIH as a principal inventor of key neuroimaging technologies. Basser's research focuses on quantitative imaging and tissue sciences , especially using diffusion MRI to study brain structure and function. He pioneered Diffusion Tensor MRI (DTI) , Streamline Tractography , and advanced methods like MAP MRI , CHARMED , and AxCaliber , enabling in vivo measurement of axon diameters and microstructural features previously accessible only through histology. His work aims to translate these tools into clinical use for diagnosing developmental disorders, trauma, and neurodegeneration. The 15 most recent articles reflect a consistent focus on developing novel MRI biomarkers, particularly through diffusion and relaxometry methods. They explore water exchange, restriction, glymphatic clearance, latency connectomes, and cortical microstructure, demonstrating a trajectory toward in vivo MRI histology and precision imaging for pediatric and neurological applications. Scientific Awards: National Academy of Engineering (NAE), Inducted 2020 National Academy of Inventors (NAI) Fellow, 2024 Eduard Rhein Technology Award, 2021 ISMRM Gold Medal, 2008 ISMRM Lauterbur Lecturer, 2020 American Society of Neuroradiology Honorary Member, 2019 Victor M. Haughton Award, 2017 ISMRM Fellow, 2010 AIMBE Fellow Best Paper Award, Frontiers in Physics, 2023 Basser leads a dynamic research group that mentors postdoctoral fellows and trainees, many of whom have received prestigious awards. His lab has secured significant grants from the NIH BRAIN Initiative, NICHD, USUHS, and the Bill & Melinda Gates Foundation. The SQITS lab develops open-source software tools like TORTOISE , dmritool , and HI-SPEED , which are widely used in the neuroimaging community. The lab collaborates with institutions such as Uniformed Services University and participates in major initiatives like the Human Placenta Project and the Human Connectome Project. Basser’s vision is to transform clinical MRI scanners into quantitative scientific instruments for precision medicine and large-scale brain mapping. Labs and Teams: Section on Quantitative Imaging and Tissue Sciences (SQITS), NICHD, NIH Neuropathology-Neuroradiology Integration Core (with USUHS) Advanced Translational Neuroimaging Research & Development Core Diffusion – Data Processing Center (DPC)

• Neurosciences
• Ultrasonography
• Doppler Flowmetry
• +۵ مورد دیگر

Pieter Kruizinga is an Assistant Professor at Erasmus MC specializing in Neurosciences . His work bridges Ultrasonography , Doppler Flowmetry , and Medical Imaging , focusing on advanced neuroimaging techniques. Current affiliations include collaborations with Erasmus MC's Neurosciences department and interdisciplinary teams in biomedical engineering. Institution: Erasmus MC Department: Neurosciences Research interests revolve around Brain Imaging , Functional Magnetic Resonance Imaging , and Tumor Vascularization . His projects aim to improve diagnostic and therapeutic approaches for neurological conditions, particularly gliomas, using Functional Ultrasound (fUS) and MRI technologies. Trends in research outputs highlight the integration of Doppler Ultrasound with MRI for vascular analysis, development of 3D modeling for blood flow dynamics, and creation of patient-specific vascular phantoms to enhance imaging accuracy. His work also explores hemodynamic monitoring in freely moving subjects via skull implants. Advising and Grants include supervision of interdisciplinary research projects and contributions to collaborative grants in neuroimaging and biomedical engineering. Specific details about individual grants are not provided in the text. Labs and Teams are not explicitly mentioned, but his network involves collaborations with institutions across the globe, focusing on neuro-oncology and biomedical imaging.

• Biomechanics
• Orthopaedics
• ACL Injury and Reconstruction
• +۵ مورد دیگر

Braden C. Fleming is the Lucy Lippitt Professor of Orthopaedics and Professor of Engineering at Brown University. His research focuses on ACL injury biomechanics , graft healing , osteoarthritis progression , and biotribology . He has directed translational projects involving MRI-based monitoring and tissue engineering for ligament repair. Primary Affiliation: Brown University, Department of Orthopaedics and Engineering Education: PhD in Mechanical Engineering, University of Vermont (1996) His research interests include: Knee ligament injuries and reconstruction Soft tissue biomechanics and cartilage protection Biomedical instrumentation for postoperative monitoring Sex-specific differences in ACL outcomes Translational models of osteoarthritis MRI-based graft healing assessment Recent publications highlight advancements in: MRI segmentation pipelines Quantitative imaging biomarkers Sex-based graft tension outcomes Biomechanical modeling of ACL tenodesis Anti-inflammatory therapies in cartilage repair Long-term neuromuscular adaptation Scientific Awards : William A. Grana Award (2025, 2020) OREF Clinical Research Award (2022, 2020) Kappa Delta Award (2013, 1994) Cabaud Research Award (2024, 2013, 2009) ACL Study Group Traveling Fellowship (2010-2012) Grants : NIH and DOD-funded projects on ACL restoration and osteoarthritis. Labs : Co-Director of the Bioengineering Core at the COBRE for Skeletal Health and Repair.

Jo Hajnalمشاهده پروفایل

استاد

• Magnetic Resonance Imaging
• Brain Development
• Diffusion MRI
• +۵ مورد دیگر

Jo Hajnal is Professor of Imaging Sciences at King's College London and Chair in Imaging Physics and Engineering. With affiliations at Imperial College London (1990-2006) and King's College London (2012-present), he specializes in in vivo imaging techniques including MRI, ultrasound, and optical imaging. His work integrates data acquisition , image reconstruction , and analysis pipelines for biomedical applications. Doctor of Science, University of Bristol (1984) Bachelor of Science, University of Bristol (1981) Research interests focus on fetal imaging and neonatal brain development , with major projects like the Developing Human Connectome Project and iFind Project. He has pioneered parallel transmit MRI methods (http://mriphysics.github.io). Recent research outputs span 7 Tesla pediatric epilepsy MRI , low-field fetal imaging , and AI-driven volumetry in fetal scans. His work addresses UN Sustainable Development Goals for education advancement. Fellow, International Society of Magnetic Resonance in Medicine (2014) Current projects include: 3D fetal heart flow measurement (MRC), VR ultra-high field MRI (Action Medical Research), and neonatal injury detection (Rosetrees Trust). Supervised work spans 9 projects, including fetal imaging and neurodevelopmental studies.

Daniela Delli Castelliمشاهده پروفایل

دانشیار

• Molecular Imaging
• MRI Technology
• Nanomedicine
• +۵ مورد دیگر

Roles and Affiliations : Associate Professor at the University of Torino, Department of Molecular Biotechnologies and Health Science. Member of the Molecular Imaging Center. Specializes in developing advanced MRI contrast agents (CEST) for molecular imaging and diagnostic applications. Research Focus : Leads research on CEST agents, including LipoCEST and ParaCEST systems, with applications in cancer imaging, pH-mapping, and targeted drug delivery. Innovates in pH-responsive probes (e.g., YbHPDO3A) for tumor microenvironment analysis and diagnostic tests like LICIA. Current projects include heteronuclear CEST agents to enhance sensitivity and spatial resolution. Labs and Teams : Heads the Delli Castelli Lab, focusing on molecular imaging and nanosystems. Collaborates on interdisciplinary projects involving biomedicine, engineering, and chemistry. Grants and Awards : While specific grants are not listed, her work reflects sustained funding for MRI innovation and nanomedicine. Recognized for contributions to CEST agent development and clinical translation.

Theo Scholtesمشاهده پروفایل

پژوهشگر

• Quantum Magnetometry
• Dark Matter Detection
• Atomic Physics
• +۳ مورد دیگر

Dr. Theo Scholtes is a researcher in the Quantum Systems department at the Leibniz Institute for Photonics (Leibniz-IPHT), specializing in quantum magnetometry and dark matter detection. He leads the Quantum Magnetometry working group and has developed advanced optically pumped magnetometer (OPM) systems for ultrasensitive magnetic field measurements. Key research areas: Quantum magnetometry, dark matter detection, sensor technology Notable collaborations: Global Network of Optical Magnetometers for Exotic physics searches (GNOME) His work focuses on overcoming technical limitations in OPMs, including dead zones, heading errors, and transient phase responses. He has pioneered innovations like the light-shift dispersed Mz mode, omnidirectional magnetic field sensitivity, and passivated gold mirror integration in alkali vapor cells. Recent publications (2023-2025) address vector magnetometry in Earth's magnetic field, dead-zone-free sensors, and domain wall detection for dark matter. Earlier work (2016-2020) includes laser stabilization techniques and magnetorelaxometry in biomedical contexts.

Jan Sijbersمشاهده پروفایل

استاد

• Image Reconstruction
• Medical Imaging
• Quantitative MRI
• +۳ مورد دیگر

Jan Sijbers is a Full Professor at the University of Antwerp , affiliated with the Department of Physics . He serves as Spokesperson of the imec-Vision Lab and is a co-founder of spin-offs IcoMetrix and Deltaray . His academic role includes a 10% position as Research Director at imec. Research Interests: Quantitative Magnetic Resonance Imaging (MRI), Tomographic Image Reconstruction, Medical Imaging Algorithms Editorial Roles: Senior Area Editor (IEEE Transactions on Image Processing), Associated Editor (IEEE Transactions on Computational Imaging) Teaching: Courses in Physics, Mathematics, Signal/Image Processing, and X-ray Microtomography Research Trends: His 2025 publications focus on X-ray phase contrast imaging, zebrafish models for bone disease, mesh-based CT reconstruction, and AI-driven biomedical imaging. Earlier works emphasize statistical signal processing in MRI and discrete tomography algorithms. PhD Advisees: He has supervised 68 PhD theses since 2004, with recent topics spanning edge illumination X-ray imaging, 3D knee morphology, and advanced MRI relaxometry. Laboratory Leadership: As head of imec-Vision Lab, he leads research in computational imaging, with applications in medical diagnostics and industrial X-ray systems.

• Biomedical Imaging
• Medical Imaging Technology
• Cardiac Disease Detection
• +۳ مورد دیگر

Jesse Hamilton, Ph.D., is an Assistant Professor in the Department of Radiology and Biomedical Engineering at the University of Michigan. Their research focuses on advancing quantitative Magnetic Resonance Imaging (MRI) methods to improve early detection and monitoring of cardiac diseases. Key projects include development of cardiac MR Fingerprinting for rapid, multi-parametric tissue characterization, low-field MRI applications, and deep learning-enhanced reconstruction algorithms. Research interests emphasize data acquisition innovation, algorithm design, and clinical translation of MRI technologies. The lab validates methods through simulations, phantom studies, and human trials, targeting applications like cardiac amyloidosis diagnosis and cardiomyopathy phenotyping. Recent work highlights MRF's utility in simultaneous T1/T2 mapping, sex-specific cardiac analysis, and low-field imaging. Articles explore artifact correction, multi-contrast imaging, and system optimization. No specific scientific awards are listed, but contributions to MRF methodology are prominent in the field. Advising and grants are not detailed here, but the lab's focus on translational imaging research suggests active grant-funded projects. Collaborations likely span radiology, biomedical engineering, and clinical cardiology departments at the University of Michigan Medical School. Key infrastructure includes advanced MRI systems, computational resources for deep learning, and experimental setups for validating imaging techniques in both phantom and clinical settings.

John R. de Bruynمشاهده پروفایل

استاد

• Experimental Condensed Matter Physics
• Soft Materials
• Biological Systems Physics
• +۳ مورد دیگر

John R. de Bruyn is a Professor in the Department of Physics and Astronomy at the University of Western Ontario. His research focuses on experimental condensed matter physics, particularly soft materials, biological systems physics, and non-equilibrium dynamics. He leads the de Bruyn research group, which collaborates internationally and uses advanced rheological techniques. Current projects include studies on thixotropic suspensions, star polymers, and MR-compatible medical device materials. Key equipment includes an MCR 302 rheometer. He has supervised numerous graduate and undergraduate students, including Cameron Hopkins (Don Hay Prize winner), Grace Ge (M.Sc. in polyisoprene composites), and Nirosh Getangama. Recent grants include a $705k CFI grant for medical device testing and a Western Academic Development Fund grant for rheometry equipment. Notable collaborations include work with Simon Rogers at UIUC and Dimitris Vlassopoulos in Crete (FORTH). His group also explores interdisciplinary topics like phagocytosis mechanisms and solar eclipse physics. He has presented at conferences such as the Waterloo Soft Matter Conference and the Canadian Association of Physicists annual meeting.

• Machine Learning
• Medical Imaging
• Image Processing
• +۳ مورد دیگر

Jaejin Cho is an Assistant Professor in the Department of Artificial Intelligence and Robotics at Sejong University, where he conducts research at the intersection of machine learning and medical imaging. His work primarily focuses on advancing Magnetic Resonance Imaging (MRI) techniques through computational methods. His research interests span several key areas: Machine Learning : Network design, Domain transform, and Manifold learning. Image Processing : Numerical optimization, Annihilating filter, and Low-rank reconstruction. Medical Imaging : Fast MRI acquisition, Physics modeling, and MRI scanner operation. Dr. Cho's recent publications reveal a consistent focus on developing deep learning-based reconstruction algorithms for accelerated and distortion-free MRI. His work often integrates model-based approaches with deep learning, emphasizing zero-shot and self-supervised learning to avoid the need for large training datasets. Key application areas include quantitative MRI, diffusion imaging, and multi-contrast mapping, with a strong emphasis on clinical translation and cross-platform reproducibility. No scientific awards were mentioned in the available information. No information was available regarding advising activities, grants, or laboratory teams beyond his GitHub repositories which include tools for MRI reconstruction such as wave-modl and wave-qalas.

David Hodgeمشاهده پروفایل

استاد

• Bioprocess Engineering
• Biomass Conversion
• Lignin Chemistry
• +۳ مورد دیگر

Dr. David Hodge is a Professor in the Department of Chemical & Biological Engineering at Montana State University's College of Engineering. His research focuses on developing innovative biomass conversion and biorefinery processes, with expertise in lignocellulosic pretreatment and lignin valorization. Education: Ph.D. in Chemical Engineering from Colorado State University (2005) M.S. in Chemical Engineering from Colorado State University (2002) B.S. in Chemical Engineering from Auburn University (1999) Research Interests: Dr. Hodge's work centers on bioprocess engineering for sustainable bioproducts, including the COBRA (Compacted Biomass with Recycled Ammonia) process, lignin extraction/characterization, and catalytic biomass conversion. He investigates fundamental mechanisms of biomass deconstruction and the impact of feedstock attributes on processing efficiency, with applications in biofuel production and biorefinery design. Recent Publication Trends: His 2023-2025 publications reveal a concentrated focus on corn stover and hybrid poplar biomass. Key themes include lignin recovery/purification using renewable solvents, catalytic pretreatment optimization (particularly Cu-catalyzed alkaline-oxidative methods), and advanced characterization techniques like NMR relaxometry. Collaborative projects with national laboratories dominate his output, emphasizing scalable biorefinery solutions. Scientific Awards: No scientific awards were mentioned in the provided text. Advising and Grants: Dr. Hodge secures significant external funding, including projects from Idaho National Laboratory: 'Dynamic processing of biomass residues using fractionation, online sensors and digital twins' and 'IMPROVED: Intensification of Mechanical Preprocessing to Revolutionize Oilseed Valorization'. He also leads NCSU-funded research on 'Augmenting hemp-associated microbial communities for improved retting in cold arid climates', indicating active graduate mentoring and cross-institutional collaboration. Labs and Teams: His research group operates within Montana State University's biomass processing facilities, collaborating with Idaho National Laboratory on sensor-integrated fractionation systems and with NCSU on hemp retting microbiology, focusing on cold-climate biomass valorization.

Patrick Bolanمشاهده پروفایل

دانشیار

• Medical Imaging
• Radiology
• Cancer Research
• +۳ مورد دیگر

Patrick Bolan, PhD is an Associate Professor in the Department of Radiology at the University of Minnesota. He serves as Associate Medical Director of the Center for Clinical Imaging Research and Associate Director of the Center for Radiology Research Resources. He is also faculty in the PhD Program in Medical Physics. His research focuses on advanced MRI and MRS techniques for cancer diagnosis and treatment monitoring, particularly in breast and prostate cancers. Key areas include developing AI-driven imaging protocols, quantitative MRI parameter estimation, and clinical translation of spectroscopic methods. Dr. Bolan leads interdisciplinary efforts in optimizing diffusion-weighted imaging (DWI), multiparametric MRI for treatment response prediction, and automated image analysis using deep learning. His work bridges clinical needs with cutting-edge imaging technologies, aiming to improve diagnostic accuracy and therapeutic decision-making. He has contributed to international standards for proton MRS in neuroimaging and breast cancer assessment through initiatives like the ISMRM and ACRIN trials. He holds leadership roles in radiology research infrastructure, overseeing imaging research resources and fostering collaboration between clinical and technical teams. His lab focuses on translational research, advancing imaging biomarkers for personalized oncology care.

Susanne Muellerمشاهده پروفایل

استاد

• Neuroscience
• Neuroimaging
• Dementia
• +۷ مورد دیگر

Susanne Mueller, MD, is a Professor of Radiology and Adjunct Professor at the University of California, San Francisco (UCSF), School of Medicine. She leads the Center for Imaging of Neurodegenerative Diseases at the San Francisco Veterans Affairs Medical Center. Her expertise spans neuroimaging, neuroscience, and neurodegenerative diseases, with a focus on dementia, epilepsy, and Alzheimer's disease. Dr. Mueller holds an MD from the University of Zurich and completed neurology residencies in Switzerland followed by a Radiology fellowship at UCSF. Her research focuses on advanced MRI/MRS techniques for early dementia diagnosis, neurodegeneration mechanisms, and epilepsy. She has pioneered studies on hippocampal subfield volumetry and brainstem network disruptions. Dr. Mueller serves on 17 journals' editorial boards, reviews grants for 5 foundations, and is a member of 4 professional societies. Her awards include the Swiss National Science Foundation Grant for Young Researchers (2000) and the International League Against Epilepsy Young Investigator Award (1999). Over 150 peer-reviewed articles highlight her work in imaging biomarkers, Alzheimer's pathology, and PTSD/TBI neurobiology.