جست‌وجوی استاد و پژوهشگر

• Medical Imaging
• Radiomics
• Neuroimaging
• +۷ مورد دیگر

Steven Yong Cen, PhD is a Professor of Research in Radiology, Neurology and Radiation Oncology at the Keck School of Medicine of the University of Southern California. His office can be reached at +1 323 442 1570 and his professional email is cen@usc.edu. Dr. Cen's research spans multiple domains within medical imaging, with particular focus on radiomics, neuroimaging, and artificial intelligence applications in medicine. His work encompasses advanced MRI techniques, CT imaging analysis, Alzheimer's disease diagnostics, cancer imaging (particularly renal cell carcinoma), and stroke imaging. He has pioneered research in robotic surgery feedback systems and human-AI collaboration for surgical training. Analysis of Dr. Cen's recent publications reveals a strong trend toward integrating artificial intelligence with medical imaging to improve diagnostic accuracy and treatment outcomes. His work bridges quantitative imaging biomarkers, neurodegenerative disease assessment, and surgical education technology. The interdisciplinary nature of his research connects radiology, neurology, oncology, and computer science to address critical challenges in modern medicine. Dr. Cen has made significant contributions to understanding blood-brain barrier function in aging, developing AI-assisted surgical training systems, and establishing quantitative imaging biomarkers for neurological conditions. His work on health disparities in stroke treatment highlights his commitment to addressing inequities in healthcare delivery.

• Critical Care Medicine
• Respiratory Therapy
• Extracorporeal Membrane Oxygenation (ECMO)
• +۳ مورد دیگر

John Fraser is an accomplished academic researcher in critical care medicine and respiratory therapy, with a focus on extracorporeal membrane oxygenation (ECMO), acute respiratory distress syndrome (ARDS), and outcomes following intensive care. His work spans global collaborations, particularly through the COVID-19 Critical Care Consortium, addressing pandemic-related challenges in critical care. He has contributed to over 262 publications, emphasizing evidence-based practices for ECMO management, neurological complications in critical illness, and post-ICU recovery strategies. His research integrates clinical trials, biomechanical modeling, and translational studies to improve patient outcomes. Fraser is actively involved in protocol development for ICU environmental improvements and long-term patient tracking post-discharge. Key Affiliations: Collaborates with global institutions in the COVID-19 Critical Care Consortium and ASAP ECMO studies. Education: Not explicitly stated in text; inferred expertise in critical care medicine through research output. Research Themes: ECMO optimization, ARDS management, post-ICU syndrome, and global health responses to pandemics. His work bridges clinical practice and engineering, as seen in studies on pulsatile flow ECMO and novel medical device validation. Fraser’s articles highlight interdisciplinary approaches to critical challenges in intensive care, including anticoagulation strategies, neurological monitoring, and sedation protocols in ECMO patients. He emphasizes translational research, with applications in both clinical guidelines and healthcare system preparedness.

• Biomedical Engineering
• Cardiovascular Biomechanics
• Medical Imaging Techniques
• +۳ مورد دیگر

Dr. Han Yu is a Research Associate at the School of Mech., Medical & Process Engineering, Faculty of Engineering, Queensland University of Technology (QUT). He earned his Ph.D. in Biomedical Engineering from QUT in 2022, focusing on cardiovascular biomechanics and surgical outcomes for Tetralogy of Fallot patients. His current research evaluates dementia and stroke risks in patients with Atrial Fibrillation using advanced imaging and computational techniques. Education: Ph.D. (Doctor of Engineering) from QUT. Research Interests: Cardiac biomechanics, medical imaging (4D-CTA, MRI), finite element modeling, and surgical simulation. His work addresses complex cardiovascular conditions such as Tetralogy of Fallot, intracranial aneurysms, and Atrial Fibrillation, with a focus on predictive modeling and non-invasive assessment methods. Publications highlight contributions to biomechanical analysis, medical imaging algorithms, and surgical strategy optimization. His work spans interdisciplinary collaborations in engineering, medicine, and computational science.

Mais N Al-Kawazمشاهده پروفایل

استادیار

• Cerebrovascular Diseases
• Neurointerventional Surgery
• Stroke Intervention
• +۳ مورد دیگر

Dr. Mais N Al-Kawaz is an Assistant Professor of Neurology, Neurosurgery, and Radiology at the University of Kentucky's Department of Neurology. Her clinical and academic focus lies in interventional neurology, with specialization in treating acute ischemic strokes, cerebrovascular diseases, aneurysms, and arteriovenous malformations. She holds joint appointments across three departments, reflecting her multidisciplinary expertise. Education & Training: MD: Weill Cornell Medicine-Qatar, Doha, Qatar Neurology Residency: New York Presbyterian Hospital/Weill Cornell Medical Center Fellowship in Neurocritical Care: Johns Hopkins Hospital Fellowship in Neuroendovascular Surgery: Mount Sinai Hospital, New York Research Interests: Cerebrovascular pathologies, acute stroke interventions, cerebral aneurysm management, and neurointerventional techniques. Her work emphasizes innovative endovascular treatments and guideline development for vascular emergencies. Publications: Dr. Al-Kawaz has contributed to peer-reviewed literature on neurointerventional procedures, including venous stenting innovations and dural arteriovenous fistula management. Her recent work includes guideline updates for endovascular therapy in large vessel occlusion strokes. Clinical Focus: Specializes in complex cerebrovascular interventions such as carotid stenting, aneurysm embolization, and mechanical thrombectomy. She also addresses retinoblastoma and idiopathic intracranial hypertension cases.

• Fluid Dynamics
• Computational Physics
• Complex Systems
• +۳ مورد دیگر

Sauro Succi is a Researcher and Research Director at the Istituto dei Sistemi Complessi (CNR, Rome, Italy), concurrently serving as a Research Associate at Harvard University's Physics Department. He holds a visiting fellowship at the Freiburg Institute for Advanced Studies (FRIAS) within the School of Soft Matter Research. His expertise spans computational modeling of complex systems, with emphasis on fluid dynamics across scales—from quantum flows to biopolymer translocation and nanoscale phenomena. Education: BSc in Nuclear Engineering from the University of Bologna, PhD in Plasma Physics from École Polytechnique Fédérale de Lausanne (1987). He has held visiting positions at institutions including Yale, University of Paris, and Queen Mary College London. Research focuses on lattice Boltzmann methods, multiscale simulations, and soft matter physics. Key projects include modeling biological nanopore translocation, carbon nanotube gas flows, and micro-emulsion rheology. His work bridges mesoscopic theory with practical applications in biophysics and nanotechnology. Scientific recognition includes Fellow of the American Physical Society, Alexander von Humboldt Award, and Killam Award. His 200+ publications include seminal works on lattice Boltzmann equations and multiscale fluid dynamics.

Sinduja Subramanianمشاهده پروفایل

پژوهشگر ارشد

• Neurodegenerative Diseases
• Neuroimmunology
• Vascular Biology
• +۴ مورد دیگر

Sinduja Subramanian is a Research Fellow at the Centre for Motor Neuron Disease Research within Macquarie Medical School, Macquarie University. Her work bridges vascular biology and neuroimmunology, focusing on immune dysregulation mechanisms in neurodegenerative diseases. She previously completed her PhD in Macquarie Neurosurgery (2015-2018) developing pro-thrombotic treatments for brain arteriovenous malformations. Educational Background: PhD in Neurosurgery (Macquarie University, 2018) Current Role: Research Fellow in Motor Neuron Disease Research Her research explores: Vascular targeting agents for neurological conditions Immune-inflammatory processes in motor neuron disease Radiation-induced endothelial surface modifications Thrombotic treatment strategies for vascular malformations Key publication trends include: Development of vascular targeting therapies through αB-crystallin and CD166 research Investigation of inflammatory mediators in neurodegenerative disease progression Application of pulsatile flow models to thrombus formation studies Integration of molecular imaging and proteomics techniques Translational focus from animal models to clinical applications Peer-reviewed contributions across Thrombosis Research, International Journal of Molecular Sciences, and Translational Stroke Research Contact: sinduja.subramanian@mq.edu.au

Sunčica Čanićمشاهده پروفایل

استاد

• Applied Mathematics
• Partial Differential Equations
• Fluid-Structure Interaction
• +۵ مورد دیگر

Sunčica Čanić is a Full Professor in the Department of Mathematics at the University of California, Berkeley, with prior appointments at the University of Houston. She holds a Ph.D. in nonlinear hyperbolic conservation laws from Stony Brook University (1992). Education: Ph.D. in Nonlinear Hyperbolic Conservation Laws, Stony Brook University (1992) Research Interests: Applied and numerical analysis of partial differential equations Deterministic and stochastic fluid-structure interaction Optimal design of vascular prostheses (stents) Mathematical and computational modeling of bioartificial pancreas Computational modeling of collective states in magnetic colloidal suspensions Microswimmer dynamics Recent Publications: Her recent work focuses on nonlinearly coupled stochastic and deterministic fluid-structure interaction problems, poroelastic materials, and computational optimization of biomedical devices like vascular stents and bioartificial pancreas scaffolds. Articles address existence of solutions, numerical methods, and applications in hemodynamics. Scientific Awards: National Science Foundation Distinguished MPS Lecturer Award (2007) Esther Farfel Award (2018) SIAM Fellow (2014) AMS Fellow (2020) AWM-SIAM Sonia Kovalevsky Lecture Prize (2024) Advising and Grants: Advised Ph.D. student Jeffrey Kuan , who received an NSF Postdoctoral Fellowship (2023). Current research grants include NSF DMS-2408928 (2024-2027) for next-generation stent design and DMS-2247000 (2022-2025) for cell encapsulation modeling. Labs and Collaborations: Collaborates with medical specialists at the Texas Medical Center and UC San Francisco Biodesign Laboratory. Developed computational frameworks for stent design, bioartificial pancreas, and microswimmer dynamics with interdisciplinary teams.

Marcel Ruttenمشاهده پروفایل

استادیار

• Biomechanical Modeling
• Cardiovascular Biomechanics
• Photoacoustic Imaging
• +۴ مورد دیگر

Marcel Rutten is an Assistant Professor at Eindhoven University of Technology's Department of Biomedical Engineering , affiliated with the Cardiovascular Biomechanics research group. His work focuses on vulnerable plaque characterization, biomechanical modeling, and advanced imaging techniques like photoacoustics and ultrasound. He contributes to educational programs in Cardiovascular Fluid Mechanics , Vascular Mechanics , and Engineering Design . Research Themes : Vulnerable plaque mechanics, photoacoustic signal simulation, strain imaging, and in-vitro cardiovascular models. Technical Expertise : Optical fluence modeling, acoustic wave propagation, thermodilution curve analysis, and Eulerian simulation methods. Recent Publications demonstrate interdisciplinary applications spanning cardiovascular biomechanics, plant genetics, and photonic sensor development. Collaborations : Engaged with international teams in France, Netherlands, and beyond through institutions like Eindhoven MedTech Innovation Center and Biomedical Diagnostics Lab.

Ethan Kungمشاهده پروفایل

دانشیار

• Cardiovascular Biomechanics
• Computational Fluid Dynamics (CFD)
• Medical Device Development
• +۵ مورد دیگر

Dr. Ethan Kung is an Associate Professor in the Department of Mechanical Engineering at Clemson University, with a joint appointment in Bioengineering. His research focuses on interdisciplinary cardiovascular biomechanics, combining experimental, computational, and clinical approaches to advance medical device development and surgical planning. He holds a PhD and MS from Stanford University (Bioengineering) and a BS from Queen’s University (Electrical Engineering). Dr. Kung leads the PSCOPE hybrid modeling framework, supported by NSF CAREER funding, and collaborates with clinicians and industry partners. Education: PhD and MS in Bioengineering (Stanford University, 2010/2006); BS in Electrical Engineering (Queen’s University, 2003). Research interests span computational/experimental cardiovascular modeling, hardware-in-the-loop systems, image-based CFD, and pediatric congenital heart disease. His work emphasizes clinical translation and medical device innovation, with applications to Fontan palliation and ventricular assist devices. Key contributions include developing hybrid experimental-computational frameworks for cardiovascular device testing (PSCOPE), analyzing exercise physiology in Fontan patients, and modeling superior cavopulmonary circulation. Recent articles explore tunable neonatal shunts, hemodynamic device titration, and shear stress in bioreactor heart valves. Awards: NSF CAREER Award (2018). Funders include American Heart Association and Children’s Heart Foundation. Dr. Kung serves as Associate Editor for the ASME Journal of Biomechanical Engineering and chairs the ASME Bioengineering Division’s Executive Committee. His work bridges engineering and medicine, addressing critical challenges in congenital heart disease and cardiovascular surgery.

Jing Liuمشاهده پروفایل

استاد

• Cardiovascular Imaging
• MRI Data Acquisition Techniques
• Medical Imaging Technology
• +۳ مورد دیگر

Jing Liu, PhD, is a Professor in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco (UCSF). She holds adjunct faculty roles and leads research in advanced MRI techniques. Her primary focus is developing 3D dynamic MRI methods for cardiovascular imaging, including coronary imaging and cardiac-cine techniques. Dr. Liu's work emphasizes improving scan speed, spatial/temporal resolution, and clinical applicability of MRI. Education: BS (Electrical Engineering, University of Science and Technology of China, 2001), MS (Electrical Engineering, McMaster University, 2003), PhD (Electrical Engineering, University of Wisconsin-Madison, 2008). Postdoctoral Training: Radiology at Weill Cornell Medical College (2008–2010). Research interests include 4D MRI, fast imaging protocols, self-gating techniques, non-cartesian data acquisition, compressed sensing, and parallel imaging. She has pioneered methods for reducing scan time and motion artifacts in clinical settings. Publications reflect her expertise in MRI reconstruction algorithms, cardiac imaging, and automated segmentation. Key contributions include papers on respiratory-resolved 3D cine MRI and non-contrast black blood MRI for abdominal aneurysms. Awards: NIH K25 Award (2012–2017), multiple Distinguished Reviewer accolades, and American Heart Association grants. Professional Affiliations: International Society for Magnetic Resonance in Medicine, American Heart Association, Society of Cardiovascular Magnetic Resonance. Liu’s lab focuses on translational MRI technologies. Current projects include 3D multi-contrast MRI for glioma assessment and developing AI-driven segmentation tools for cardiac and vascular imaging.

• Applied Mathematics
• Numerical and Computational Mathematics
• Materials Engineering
• +۳ مورد دیگر

Dr. Yan Ding is an Adjunct Professor in the School of Engineering at RMIT University, Australia. Their research focuses on Applied Mathematics, Numerical Methods, and Materials Engineering with a specialization in fracture mechanics, composite materials, and biomedical applications. Key areas include finite element analysis of small crack propagation and failure mechanisms in materials. Research interests span computational modeling of blood flow dynamics, oscillatory flow analysis, and atherosclerosis progression. Teaching emphasizes Finite Element Method applications and fracture mechanics. Collaborations include projects on composite materials and biomedical engineering solutions. Publications highlight work on phase-field models for brittle fracture, pulsatile blood flow simulations, and aerodynamic urban design. No explicit awards or grants are mentioned, but active contributions to RMIT’s engineering research and education programs are evident.

• Cardiovascular Engineering
• Medical Devices
• Biomedical Engineering
• +۵ مورد دیگر

Ulrich Steinseifer is a **Professor of Medical Engineering** at RWTH Aachen University, leading the Department of Cardiovascular Technology within the Faculty of Medicine. He specializes in cardiovascular engineering, artificial organs, and biomedical device development. His work focuses on improving medical devices like heart valves, oxygenators, and rotary blood pumps, with an emphasis on hemocompatibility, computational fluid dynamics modeling, and translational research. **Roles**: Deputy Director of the Institute of Applied Medical Technology, former Visiting Professor at Monash University (2017–2019). **Education**: Dr.-Ing. from RWTH Aachen (1995), Mechanical Engineering studies (1978–1987). **Research**: Extensive contributions to cardiovascular engineering, including stent design, artificial heart development, and extracorporeal life support systems. His research interests span **hemodynamics**, **biocompatible materials**, and **medical device optimization**, with applications in critical care and surgical interventions. He has pioneered methods for assessing thrombogenicity, ghost cell technology, and computational modeling for medical device evaluation. **Awards**: AIMBE Fellow (2016), EAMBES Fellow (2017), and recognition in business plan competitions for innovations like Hepa Clean. **Leadership**: Key roles in organizations like the International Society for Rotary Blood Pumps (ISRB) and ISO Technical Committees. Steinseifer’s labs develop cutting-edge solutions for cardiovascular diseases, including artificial placentas and advanced oxygenators. His work bridges engineering and medicine, emphasizing real-world clinical translation.

• Cardiovascular Surgery
• Congenital Heart Disease
• Hemodynamics
• +۵ مورد دیگر

Zarmiga Karunanithi Kirubakaran is a researcher at Aarhus University, affiliated with the Department of Clinical Medicine. Her work focuses on cardiovascular surgery, congenital heart defects, and hemodynamics, with a strong emphasis on pediatric patients and surgical techniques. She has contributed to studies on atrial septal defect repair , heart rate variability , and medical device evaluation , including in vitro and in vivo testing of valved pulmonary conduits. Her research spans 2017–2023, with recent publications in European Journal of Cardio-Thoracic Surgery and World Journal for Pediatric and Congenital Heart Surgery . Key areas of her work include hemodynamic analysis , echocardiography , and autonomic nervous system regulation post-surgery. She has participated in academic activities such as organizing the 29th Annual Meeting of the Scandinavian Society of Cardiothoracic Surgery (SSRCTS) and presenting on atrial septal defects.

Md Ferdous Alamمشاهده پروفایل

پژوهشگر ارشد

• Generative AI
• Reinforcement Learning
• Optimal Control Theory
• +۳ مورد دیگر

Md Ferdous Alam is a Postdoctoral Associate at the Massachusetts Institute of Technology School of Engineering , affiliated with the Department of Mechanical Engineering. Previously, he earned his Ph.D. from Ohio State University and worked at Autodesk AI Lab as a research intern and collaborator. Academic Affiliations: Current: MIT (Postdoctoral Associate) Ph.D.: Ohio State University Research Collaborator: Autodesk AI Lab Research Interests focus on generative AI, reinforcement learning, and optimal control theory for manufacturing automation. His work integrates AI with hardware for real-time autonomous systems, particularly in 3D CAD/CAM and robotic manufacturing. Key projects include: Developing GenCAD for image-conditioned CAD generation Building a universal manufacturing operating system with AI at its core Advancing data-efficient reinforcement learning algorithms Creating multimodal benchmarks like DesignQA Scientific Awards include the Google Research Scholar Award 2024 in Applied Science and Best Paper Award at MSEC 2020. His publications span journals like Journal of Mechanical Design and conferences including IDETC-CIE. He is active in open-source development, maintaining repositories for autonomous manufacturing and machine learning frameworks.

Hitinder Singh Gurmمشاهده پروفایل

استاد

• Interventional Cardiology
• Cardiovascular Disease
• Coronary Artery Disease
• +۵ مورد دیگر

Dr. Hitinder Singh Gurm serves as Professor of Internal Medicine at the University of Michigan Medical School and interim Chief Medical Officer of Michigan Medicine. His clinical expertise centers on interventional cardiology, with specialization in coronary artery disease, carotid interventions, and complex vascular procedures at the Frankel Cardiovascular Center in Ann Arbor. Dr. Gurm's educational trajectory includes: MBBS: Christian Medical College, Ludhiana, India (1992) Residency: Internal Medicine, Cleveland Clinic Hospital (1999) Fellowship: Cardiovascular Disease, Cleveland Clinic Hospital (2003) Fellowship: Interventional Cardiology, Cleveland Clinic Hospital (2005) His research program drives innovation in PCI safety and device development, focusing on contrast-induced nephropathy mitigation, intracoronary imaging optimization, and novel endovascular technologies like histotripsy and pulsatile lithotripsy. He pioneered registry-based quality improvement through the BMC2 consortium, analyzing statewide PCI outcomes to refine clinical protocols. Analysis of Dr. Gurm's recent publications reveals dominant themes in real-world PCI safety assessment, calcified lesion management via intravascular lithotripsy, and AI-driven risk prediction. His BMC2 registry work establishes Michigan as a national model for cross-institutional quality initiatives, with significant emphasis on reducing contrast volumes, optimizing discharge care, and managing cardiogenic shock. Major accolades include: Michigan Health & Hospital Association Patient Safety Leadership Award (2016) Election to the American Society for Clinical Investigation (ASCI) Becker Hospital Review's Top 50 Patient Safety Experts (2018) As BMC2 leader, Dr. Gurm spearheads Michigan's statewide peer-review system that evaluates 20,000+ annual PCIs, identifying preventable complications and driving protocol standardization. His patented device innovations—particularly in pulsatile balloon catheters and vascular lithotripsy—demonstrate translational research impact, supported by extensive NIH and industry funding reflected in his 250+ publications. Dr. Gurm directs the Frankel Cardiovascular Center's interventional research team, leveraging the BMC2 registry for real-time quality analytics. Current projects integrate machine learning with PCI outcomes data while advancing histotripsy-based thrombolysis and calcific plaque modification through industry partnerships.