جست‌وجوی استاد و پژوهشگر

• Pulmonary Medicine
• Inflammatory Lung Disease
• Genetic Basis of Lung Injury
• +۶ مورد دیگر

Dr. Joe G. N. Garcia is an endowed Professor of Medicine at the University of Florida College of Medicine, serving as Associate Vice President for Research and Director of the Center for Inflammation Sciences & Systems Medicine at The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology. A distinguished pulmonary physician-scientist elected to the National Academy of Medicine, his work bridges bench-to-bedside research in inflammatory lung diseases. His research focuses on the genetic basis of lung disease , vascular permeability mechanisms , and health disparities in pulmonary conditions. Key contributions include developing biomarkers for acute respiratory distress syndrome (ARDS), identifying vascular genes in lung metastasis, and pioneering the therapeutic targeting of eNAMPT in inflammatory conditions. Analysis of his recent publications reveals dominant themes in NAMPT biology (11 articles), pulmonary vascular pathophysiology (9 articles), and multi-omic approaches to critical illness (7 articles), with strong emphasis on translational applications in ARDS, pulmonary hypertension, and cancer metastasis. Election to National Academy of Medicine Over 575 peer-reviewed publications Leadership of large NIH-funded research programs Dr. Garcia directs significant federally-funded research initiatives addressing inflammatory lung injury mechanisms and health disparities. His laboratory (Garcia Lab) investigates lung endothelial biology, vascular leak pathogenesis, and radiation-induced lung injury. Current projects include developing eNAMPT-neutralizing antibodies for cancer and inflammatory conditions, and studying circadian influences on lung inflammation.

• Ischaemic Heart Disease
• Cardiac Diseases
• Cardiovascular Epidemiology
• +۳ مورد دیگر

Dr. Richard Good is a Clinical Senior Lecturer in Ischaemic Heart Disease and Honorary Consultant at the School of Cardiovascular & Metabolic Health, University of Glasgow. His research focuses on cardiac diseases with particular emphasis on ischaemic heart disease, cardiovascular epidemiology, and biomarker analysis. He leads studies on coronary microvascular dysfunction, drug-coated balloon applications, and post-myocardial infarction therapies. Current grants include EPSRC-funded work on coronary artery calcification quantification and Scottish Funding Council-supported computational modeling of right ventricular function post-lung resection. Research Groups: Biomarkers, Cardio-oncology, Imaging Data Key Projects: EMPRESS-MI trial, GNOCCI Study, CorMicA trial analysis His publications (2022–2025) emphasize clinical translation of computational models, pharmacological interventions for heart failure, and PCI optimization. He supervises PhD student Shiting Huang in computational cardiac modeling. Grants: EPSRC Centre for Future PCI Planning (2024–2028), Scottish Funding Council (2024–2025).

Steven Williamsمشاهده پروفایل

استاد

• Neuroimaging
• Magnetic Resonance Imaging
• Clinical Neuroscience
• +۳ مورد دیگر

Steven Williams is a Professor of Imaging Sciences and Head of the Neuroimaging Department at King’s College London, leading the Centre for Neuroimaging Sciences. His work focuses on translating neuroimaging techniques into clinical practice, particularly in CNS disorders. He holds a PhD in Magnetic Resonance Imaging from the University of Cambridge (1988) and a BSc in Medicinal Chemistry from Loughborough University (1985). Education: Doctor of Science, NMR Imaging, University of Cambridge (1988) Bachelor of Science, Medicinal & Pharmaceutical Chemistry, Loughborough University (1985) Research Interests: Development of MRI techniques for clinical applications, including autism classification (90% accuracy), brain imaging in food intake regulation, and diagnosis tools for CNS disorders. Key achievements include NHS Innovation of the Year (2010) and GE Healthcare Thought Leader (2010). Awards: Pfizer Young British Scientist of the Year (1994) First King’s Business Development Award (2008) NHS Innovation of the Year Award (2010) GE Healthcare Thought Leader of the Year (2010) Grants & Projects: Leads over 400 projects, including NIH-funded CHIME Study and the Wellcome Trust-funded Neuroimaging Sciences Centre. Focuses on precision medicine, robotic cardiac interventions, and AI-enhanced diagnostics. Labs/Teams: Director of the Centre for Neuroimaging Sciences and collaborates globally on SDGs like healthcare innovation.

Bijoy Kumar Kunduمشاهده پروفایل

دانشیار

• Medical Imaging
• Molecular Imaging
• Cardiovascular Engineering
• +۳ مورد دیگر

Bijoy Kumar Kundu is an Associate Professor in the Department of Radiology and Medical Imaging and the Department of Biomedical Engineering at the University of Virginia. He holds a PhD in Physics from the Bhabha Atomic Research Center, India, and completed postdoctoral work at the Indian Institute of Technology and UVA. His primary affiliation is within the School of Medicine, specifically in the Cardiovascular Research Center. Dr. Kundu's research focuses on developing novel PET imaging techniques to study metabolic and cardiovascular processes. Key areas include quantifying myocardial glucose and fatty acid metabolism in rodent models of heart disease, optimizing PET imaging for human brain and breast lesions, and applying machine learning for image analysis. His lab is funded by NIH grants, collaborating with institutions like the University of Texas and Spain’s Oncovision Inc. His work addresses metabolic remodeling in hypertension-induced left ventricular hypertrophy, brain abnormalities via FDG PET, and breast lesion segmentation using neural networks. Notable projects include noninvasive detection of early metabolic changes in cardiac diseases and advancements in PET quantification methods to correct partial volume and spill-over effects.

Mark Kozakمشاهده پروفایل

استاد

• Interventional Cardiology
• Structural Heart Disease
• Cardiovascular Disease
• +۳ مورد دیگر

Mark Kozak, MD is a Professor in the Department of Medicine at Pennsylvania State University's College of Medicine, specializing in the Division of Cardiology and Penn State Heart and Vascular Institute. His clinical work focuses on cardiovascular disease, internal medicine, and interventional cardiology with expertise in structural heart disease and transcatheter procedures. Dr. Kozak completed his medical education at Johns Hopkins University School of Medicine (1984), followed by an internal medicine residency at Johns Hopkins Hospital (1987), and a cardiology fellowship at University of Utah Hospital and Clinics (1993). His research spans interventional cardiology techniques, structural heart interventions, and cardiovascular outcomes. His scholarly work demonstrates consistent publication output since 1995, with recent emphasis on transcatheter aortic valve replacement, percutaneous coronary interventions, and complications analysis of cardiac devices. The research integrates clinical trials, registry analyses, and technical innovation in catheter-based procedures, contributing significantly to evidence-based practices in interventional cardiology. American College of Cardiology/Merck Adult Cardiology Research Fellowship (1992-1993) Teaching Attending of the Year, Cardiology (1996) Trainee Investigator Award, Association of American Physicians (1992) Dr. Kozak maintains active clinical practice at Penn State Heart and Vascular Institute, where he sees patients for general cardiology, structural heart disease, and interventional cardiology services. His work contributes to UN Sustainable Development Goals through cardiovascular health initiatives. Current research focuses on optimizing transcatheter valve procedures, understanding tricuspid regurgitation treatment preferences, and improving left ventricular recovery in mitral regurgitation cases.

Michael Kleinmanمشاهده پروفایل

استاد مدعو

• Air Pollution Health Effects
• Cardiopulmonary Toxicology
• Oxidative Stress
• +۳ مورد دیگر

Michael Kleinman serves as an Adjunct Professor in the Department of Environmental & Occupational Health at the University of California, Irvine School of Public Health, where he co-directs the Air Pollution Health Effects Laboratory. His position involves advanced research on air pollutant toxicity using both human volunteer studies and animal models, with particular emphasis on cardiopulmonary injury mechanisms and neurological health impacts. Education: Ph.D. in Environmental Health Sciences, New York University Dr. Kleinman's research centers on air pollution health effects , specifically investigating free radical generation and oxidative stress pathways following inhalation of toxic compounds. His laboratory employs state-of-the-art in vivo exposure systems for human and animal subjects alongside in vitro cellular models to dissect mechanistic responses. Key focus areas include: Electronic cigarette cardiovascular toxicity Alzheimer's disease progression linked to particulate matter Clonal hematopoiesis in pollution exposure Atmospheric chemistry of brake wear emissions Heart-brain axis biomarkers for early dementia detection Port-related air quality disparities Recent publications demonstrate intense investigation of electronic cigarette impacts on cardiac function across aging populations, alongside innovative work connecting heart rate variability signatures to pre-symptomatic Alzheimer's disease through CSF biomarkers. His port air quality studies leverage pandemic shutdowns as natural experiments to isolate emission sources. Scientific Awards: No awards mentioned in source materials As Co-Director of the Air Pollution Health Effects Laboratory, Dr. Kleinman leads grant-funded research on pollutant exposure mechanisms, though specific grants aren't detailed. His extensive publication record indicates continuous federal or institutional funding. While student mentorship is implied through laboratory work, no advisees are named in the provided information. The Air Pollution Health Effects Laboratory utilizes integrated approaches including exposure atmosphere generation, physiological monitoring of cardiovascular function, and neurocognitive assessments to evaluate complex pollutant interactions. Current work combines particulate matter characterization with real-time health effect measurements in hypertension models and aging studies.

Xin Yuمشاهده پروفایل

استاد

• Biomedical Engineering
• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• +۷ مورد دیگر

Xin Yu is the F. Alex Nason Professor II of Biomedical Engineering at Case School of Engineering and holds professorships in the Department of Physiology & Biophysics and Radiology at Case Western Reserve University School of Medicine. With a ScD in Radiological Sciences from Harvard-MIT and prior fellowships at MIT and Johns Hopkins, Dr. Yu leads a research lab focused on MRI/MRSI methodology development for studying metabolic dysfunction in diseases like diabetes, stroke, and heart disease. Develops novel MRI techniques for non-invasive metabolic characterization Applies methods to genetically engineered mouse models and disease mechanisms Key contributions in phosphorus-31 spectroscopy , MRSI , and magnetic resonance fingerprinting Recipient of multiple fellowships including the American Heart Association and AIMBE , Dr. Yu's work bridges biomedical engineering with clinical applications through collaborations. Research spans tumor suppression , neuroenergetics , and cardiovascular imaging , with over 200 publications in high-impact journals.

• Fluid Dynamics
• Biomedical Engineering
• Cardiovascular Systems
• +۴ مورد دیگر

Pavlos Vlachos is a Professor of Mechanical Engineering at Purdue University, affiliated with both the Department of Mechanical Engineering and the Biomedical Engineering program. He holds an office in the MANN building and is part of the Moveable Dream Hire Committee. His research focuses on fluid dynamics, biomedical engineering, and cardiovascular systems, with applications in medical imaging, drug delivery systems, and computational modeling. His work combines experimental and computational methods to study intracardiac flow in congenital heart diseases, subcutaneous drug delivery mechanisms, and novel echocardiographic biomarkers for sepsis and heart failure. He has developed advanced imaging techniques like 4D flow MRI reconstruction and Doppler velocity analysis tools for clinical diagnostics. His projects often bridge engineering and medicine, addressing challenges in pediatric cardiology, nanomedicine, and biomaterials. Key contributions include computational models for autoinjector performance, non-invasive cardiac flow assessment, and machine learning approaches for echocardiogram analysis. He actively engages in educational initiatives integrating virtual and physical labs for fluid mechanics education, emphasizing hands-on learning through open projects and data-driven experiments. His research portfolio spans over 50 peer-reviewed articles between 2022-2025, with a focus on translational biomedical engineering. Collaborations involve multi-disciplinary teams from cardiology, bioengineering, and materials science. Current interests include optimizing subcutaneous injection systems, predicting sepsis outcomes via hemodynamic indices, and improving diagnostic accuracy through automated image segmentation.

Sarah Kuzmiak-Glancyمشاهده پروفایل

استادیار

• Heart and Skeletal Muscle Metabolism
• Mitochondrial Function
• Exercise Physiology

Sarah Kuzmiak-Glancy Dr. Sarah Kuzmiak-Glancy is an Assistant Professor in the Department of Kinesiology at the University of Maryland's School of Public Health. Her research focuses on mitochondrial energetics in skeletal and cardiac muscles, particularly how energy production is matched to demand during exercise and disease. She holds a BS in Exercise Science (Rutgers, 2008), PhD in Biology (Arizona State, 2012), and postdoctoral training in Biomedical Engineering (George Washington University, 2012–2016) and Cardiology (National Heart, Lung, and Blood Institute, NIH, 2016). Research Interests Heart and skeletal muscle metabolism Mitochondrial function and dysfunction Exercise physiology and disease adaptations Age-related mitochondrial changes Her work investigates mechanisms underlying mitochondrial coordination with energy demand, including studies on calcium handling, phosphate regulation, and stress responses in heart failure and genetic diseases like sickle cell anemia. Recent publications highlight novel insights into mitochondrial reorganization during hypoxia, calcium overload, and aging. Awards & Grants No specific awards are listed, though her research is supported by grants focusing on mitochondrial dynamics and cardiovascular health. She collaborates across disciplines to advance understanding of energy metabolism in disease contexts. Lab & Team Her lab integrates biochemical, physiological, and animal model approaches to study mitochondrial energetics. Collaborations include NIH researchers and biomedical engineers to develop translational insights into cardiac and muscle disorders.

• Mathematical Biology
• Biofilm Growth Modeling
• Plant Virus Propagation
• +۷ مورد دیگر

Benito M Chen is a Professor in the Mathematics Department at The University of Texas at Arlington, where he has made significant contributions to mathematical biology and applied mathematics. His research spans multiple interdisciplinary areas connecting mathematics with biological and medical applications. Dr. Chen earned his BS in Mathematics from Universidad Nacional Autonoma in 1973 and his PhD in Applied Mathematics from California Institute of Technology in 1979. His academic journey has focused on developing mathematical models to address complex biological phenomena. His research interests prominently feature mathematical biology , with specialization in biofilm growth modeling , plant virus propagation , delay differential equations , and stochastic differential equations . He has made significant contributions to understanding bone remodeling processes, cardiac dynamics following myocardial infarction, and epidemiological modeling of infectious diseases. His work often bridges the gap between theoretical mathematics and practical applications in medicine and ecology. Analysis of his recent publications reveals a strong focus on delay differential equations applied to biological systems, with particular attention to cardiac modeling, plant virus dynamics, and epidemiological models. His work increasingly integrates uncertainty quantification and sensitivity analysis to enhance the reliability of mathematical predictions in complex biological systems. The interdisciplinary nature of his research is evident in collaborations spanning mathematics, biology, medicine, and environmental science. Dr. Chen has served as Dissertation Committee Chair for numerous doctoral students, including Mohammad Ganjizadeh (wound healing modeling), Amanda Patrick (plant virus propagation), and Son Tran. He has also been involved in significant research grants from NSF, NIH, and the Simons Foundation, though many are listed as not funded. His teaching portfolio includes advanced mathematics courses such as Calculus III, Ordinary Differential Equations, and Special Topics in Mathematics, demonstrating his commitment to both research and education.

Tong Yeمشاهده پروفایل

دانشیار

• Optical Nanoscopy
• Microscopy
• Mesoscopy
• +۳ مورد دیگر

Tong Ye, Ph.D., is an Associate Professor at Clemson University's College of Engineering, Computing and Applied Sciences. He directs the Nano and Functional Imaging Lab located in the Bioengineering Building, where his research focuses on advanced optical imaging techniques for biomedical applications. Dr. Ye received his doctorate from the Chinese Academy of Sciences in 1995. Research Focus Dr. Ye's research spans three interconnected domains: Optical Imaging Development : Creating novel microscopy platforms including superresolution fluorescence, nonlinear optical, and light sheet microscopy systems for deep tissue visualization. Structural-Functional Assessment : Developing label-free methods for analyzing cell metabolism, tissue viability, and microstructural properties using intrinsic optical signatures. Medical Device Innovation : Engineering clinical imaging tools such as compact nonlinear arthroscopes and laser speckle contrast devices for dermatological and orthopedic applications. Publication Trends Recent publications (2023-2025) demonstrate Dr. Ye's focus on integrating deep learning with advanced microscopy for quantitative tissue analysis. Key trends include: (1) Development of AI-enhanced imaging pipelines for automated assessment of cartilage viability and cardiac capillarization; (2) Innovation in super-resolution techniques (e.g., Phasor-FSTM) for live-cell imaging; and (3) Application of multimodal approaches in orthopedics, cardiology, and oncology. His work consistently addresses clinical challenges through label-free, noninvasive methodologies. Laboratory The Nano and Functional Imaging Lab specializes in pushing resolution boundaries across spatial scales – from nanoscopic cellular structures to whole-organ imaging. Current projects include developing deep learning-enabled diagnostic platforms for articular cartilage assessment, creating compact imaging devices for clinical use, and investigating microvascular changes in disease models using advanced optical techniques.

Jack Gregory Goldsmithمشاهده پروفایل

استاد بالینی

• Analytical Chemistry
• Biochemistry
• Biological Imaging
• +۳ مورد دیگر

Jack Gregory Goldsmith, Ph.D., serves as a Clinical Professor in the Department of Cell Biology & Anatomy at the University of South Carolina School of Medicine Columbia, where he functions as principle faculty for the medical biochemistry sequence and course director for graduate biochemistry programs. His academic credentials include: 1990: Baccalaureus Artium et Scientiae (BA/BS) from South Carolina Honors College/University of South Carolina 1994: Ph.D. from University of North Carolina at Chapel Hill Dr. Goldsmith's research integrates advanced analytical methodologies—specifically chromatographic, spectroscopic, and imaging techniques—with biological systems to address complex medical questions. Concurrently, he pioneers innovative educational frameworks and pedagogical strategies designed to enhance comprehension and knowledge retention in biochemistry education, reflecting his dual commitment to scientific discovery and academic excellence. His publication record demonstrates an interdisciplinary trajectory spanning cardiovascular pathophysiology in diabetes and cutting-edge analytical techniques for molecular quantification, revealing consistent methodological rigor across biomedical and educational domains. No scientific awards were documented in the source material. While the provided information does not specify graduate student mentorship activities or external grant funding, his course directorship and educational development work indicate substantial academic leadership responsibilities. Research infrastructure details regarding specific laboratories or collaborative teams were not disclosed in the available documentation.

Lixin Maمشاهده پروفایل

دانشیار

• Tumor-targeting nanoparticles
• Quantitative MRI techniques
• Multimodality imaging contrast agents
• +۲ مورد دیگر

Lixin Ma is an Associate Professor in the Department of Radiology at the University of Missouri School of Medicine. His research develops receptor-targeted nanoparticles for cancer imaging and therapy, quantitative MRI techniques, and multimodality contrast agents. His work spans structural drug design and NMR spectroscopy applications in biomedical imaging. Research Expertise: Receptor-avid tumor targeting nanoparticles Ultrafast magnetic resonance imaging Multimodality contrast agents Structural-based anticancer drug development

Jing Tangمشاهده پروفایل

دانشیار

• Medical Imaging
• Machine Learning
• Radiation Dose Reduction
• +۳ مورد دیگر

Jing Tang is an Associate Professor at the University of Cincinnati. His research focuses on medical image formation and understanding, particularly in emission tomography imaging and machine learning-driven reconstruction techniques. He holds a PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign. Research Interests: Medical imaging technologies including PET and SPECT, radiation dose reduction in pediatric imaging, outcome prediction in Parkinson’s disease, and integration of machine learning with image analysis. Key Projects: Developed artificial neural network-based methods for dose reduction in PET imaging and predictive models for motor outcomes in neurodegenerative diseases. He has secured multiple grants totaling over $4 million from NIH and NSF, including a current NIH grant exploring dynamic PET for coronary artery disease diagnostics. His work emphasizes translational applications in clinical imaging and patient care. Notable Grants: NIH R01HL170245 (2024-2029), NIH R03EB028070 (2019-2023), NSF CAREER award (2015-2021). Tang’s publications span advanced reconstruction algorithms, multimodal imaging integration (MRI-PET), and AI-driven diagnostics. His research bridges engineering and clinical medicine, addressing critical challenges in diagnostic accuracy and patient safety.

Brodie Lawsonمشاهده پروفایل

پژوهشگر ارشد

• Computational Biology
• Cardiac Modeling
• Medical Image Analysis
• +۲ مورد دیگر

Research Fellow at QUT Centre for Data Science and ARC Centre of Excellence, specializing in computational models of cardiac systems. Develops methods to analyze parameter sensitivity and variability in biological systems using statistical approaches. Education: PhD from QUT; BSc (Mathematics/Physics) from QUT. Research: Creates physiologically realistic models of cardiac fibrosis and arrhythmia patterns. Recent work includes digital twin development for cardiac repolarization and Perlin noise applications in tissue modeling. Collaborates with international teams on virtual drug testing platforms. Projects: Funded by ARC Centre for Mathematical and Statistical Frontiers. Publications in Medical Image Analysis and Scientific Reports demonstrate cross-disciplinary approaches to cardiac computational modeling.