Prof. Dr. Dennis Säring is a faculty member at the University of Applied Sciences Wedel , specifically affiliated with the School of Engineering. His academic and research activities focus on Deep Learning , Medical Image Analysis , and applications of Artificial Intelligence in healthcare and biomedical imaging. He has led seminars on Deep Learning topics and supervised student projects in Autonomous Driving at Audi's AADC 2018 competition. Research Highlights : Cardiovascular imaging, forensic age estimation via MRI, neural network-based bone segmentation, and cerebrovascular aneurysm analysis. Technical Expertise : Cardiac MRI, 3D/4D image processing, parametric mapping, and spatiotemporal data fusion. His recent publications (2018-2023) emphasize 3D MR segmentation for age assessment, CMR strain analysis in athletes, and T1/T2 mapping for myocarditis. Key collaborations include institutions like the University Medical Center Hamburg-Eppendorf and Wedler Hochschulbund, with funding for autonomous vehicle research. While no explicit scientific awards are listed, his work spans clinical cardiology, forensic radiology, and AI-driven medical diagnostics.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۱-۱۵ از ۱۷۴ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Peter Doerschuk is a Professor in the Department of Electrical and Computer Engineering at Cornell University's College of Engineering. He joined Cornell in July 2006 after serving on the faculty at Purdue University in both Electrical and Computer Engineering and Biomedical Engineering. His educational background includes: B.S. in Electrical Engineering, MIT (1977) M.S. in Electrical Engineering, MIT (1979) Ph.D. in Electrical Engineering, MIT (1985) M.D., Harvard Medical School (1987) Peter Doerschuk's research focuses on biological and medical systems through the lens of computational nonlinear stochastic systems. His work spans biomedical imaging , signal and image processing , statistical modeling , and computational inverse problems in biophysics . He develops high-performance algorithms and software systems that integrate accurate physical models with computational efficiency. His research addresses problems across multiple spatial scales—from 3D virus reconstruction using electron microscopy to modeling whole-body ethanol pharmacokinetics. The recent publications highlight a strong trend in computational biomedical imaging and physiological modeling . Key areas include 3D reconstruction of heterogeneous biological structures, cryo-EM dynamics analysis, and physiologically based pharmacokinetic modeling. The work consistently combines advanced statistical and machine learning methods with domain-specific physical models, particularly in virology and neurovascular physiology. His scientific awards and honors include: Fellow, American Institute for Medical and Biological Engineering (AIMBE) University Faculty Scholar, Purdue University Motorola Excellence in Teaching Award Ernst A. Guillemin Thesis Prize (MIT) Department of Biomedical Engineering Faculty Service Award (Purdue) Dr. Doerschuk has advised graduate students, including Keyuan Xu, whose M.Eng. thesis at MIT received the prestigious Ernst A. Guillemin Thesis Prize. His research has been supported through academic grants and collaborations with institutions such as The Scripps Research Institute and Indiana University School of Medicine. He has developed parallel software systems for high-performance computing applications in biophysics and biomedical signal processing. His research has involved collaboration with multiple labs and teams, including work with Professor J. E. Johnson at The Scripps Research Institute on virus structure determination and with Professor S. J. O’Connor at Indiana University on ethanol pharmacokinetics modeling. These interdisciplinary teams integrate expertise in engineering, medicine, and computational science to solve complex biomedical problems.
Joe Stockمشاهده پروفایل
استادیار
Joe Stock is an Assistant Professor in Kinesiology at East Carolina University's College of Health and Human Performance. He operates the Human Performance Lab, focusing on cardiovascular wellness in aging and at-risk populations. B.S. in Exercise Science, Slippery Rock University M.S. in Health, Physical Activity and Chronic Disease, University of Pittsburgh Ph.D. in Kinesiology and Applied Physiology, University of Delaware His research examines aortic hemodynamics, vascular function, and lifestyle interventions through echocardiography, blood vessel ultrasound, and non-invasive blood pressure analysis. He explores sex differences in neurocardiovascular responses and salt sensitivity mechanisms. Recent publications demonstrate expertise in chronic kidney disease adaptations, exercise-induced vascular changes, and central sodium sensing. Collaborations span cardiovascular physiology, nephrology, and autonomic neuroscience. National Heart, Lung, and Blood Institute grant (2021-2023) University of Delaware Dissertation Fellowship (2019) University of Delaware Summer Doctoral Fellowship (2018) Professional service includes American Heart Association membership, ACSM regional committee work, and development of clinical exercise programs for renal patients. His work integrates applied physiology with translational medicine.
Michael Stevensمشاهده پروفایل
مدرس ارشد
Dr. Michael Stevens is a Senior Lecturer at University of New South Wales (UNSW) Canberra , where he focuses on advanced manufacturing and biomedical device control systems . His work bridges digital manufacturing for SMEs with smart artificial heart technologies , emphasizing industry collaboration and translational research. Specializes in physiological control systems for rotary blood pumps Develops unobtrusive fall detection systems for dementia patients Leads international projects on total artificial heart development Education : B.Eng (Medical - First Class Honours), Queensland University of Technology (2010) PhD in Physiological Control for Biventricular Assist Devices, University of Queensland (2014) Research Trends show consistent focus on: Machine learning for biomedical diagnostics (2018–2025) mmWave radar and thermal sensors in patient monitoring (2021–2024) Computational fluid dynamics in artificial heart modeling (2016–2024) Physiological control algorithms for rotary blood pumps (2011–2025) Scientific Awards : UNSW Scientia Education Award (2021) for contextual teaching Heart Foundation Runner-up for "Smart Artificial Hearts" pitch (2021) ARC PGC Supervisor Award (2017) for mentoring Grants & Supervision : Holds over $6 million in competitive funding including MRFF and ARC grants. Currently supervises 4 PhD students while maintaining industry partnerships with VitalCare and BiVACOR. Labs & Facilities : Works across UNSW Engineering labs and Graduate School of Biomedical Engineering platforms, including mock circulation loops and high-performance computing clusters for CFD simulations.
Fangbao Tianمشاهده پروفایل
دانشیار
Associate Professor Fangbao Tian is a distinguished researcher and academic at UNSW Canberra's School of Engineering and Technology, where he also serves as Deputy Head of School for Research since July 2023. Previously, he held positions as Senior Lecturer (2017-2021) and Lecturer (2014-2017) at the same institution after completing postdoctoral research at Vanderbilt University. His academic journey began with a BSc (2006) and PhD (2011) in Theoretical and Applied Mechanics and Engineering Mechanics from the University of Science and Technology of China. Dr. Tian's research focuses on Computational Fluid Dynamics (CFD) tools for complex flows and fluid-structure interaction, with particular emphasis on bio-inspired applications. His work spans modeling laryngeal aerodynamics and vocal-fold vibration, fluid-structure interaction of plates in viscous fluid, fish swimming and insect flight, blood flow dynamics, and non-Newtonian flow phenomena. Recent work has expanded into Martian atmosphere aerodynamics, showing his research's growing interdisciplinary nature. His extensive publication record demonstrates consistent contributions across fluid dynamics, with recent trends showing increasing focus on compressible flows, bio-inspired flight systems, heat transfer applications, and computational methods like Lattice Boltzmann approaches. The research shows strong connections between fundamental fluid mechanics and practical applications in aerospace, biomedical engineering, and environmental systems. UNSW Canberra Goldstar Award 2022 IEEE Outstanding SMCS Chapter Award 2021 Outstanding Volunteer Award 2021 UNSW Canberra Silverstar Award 2018 UNSW Canberra Silverstar Award 2017 Journal of Fluids and Structures Highly Cited Research 2017 ARC DECRA 2016 Dr. Tian actively supervises PhD students across diverse topics including bushfire-enhanced wind loads, bio-inspired flight on Mars, flow control optimization, and fluid-structure interactions in compressible flows. He has secured over $5 million in external funding as Chief Investigator, including significant Australian Research Council projects examining Martian atmosphere aerodynamics, bio-inspired flapping wings, and cardiovascular flow modeling. His editorial roles include Associate Editor for Journal of Fluids and Structures and Scientific Reports, reflecting his standing in the fluid dynamics research community.
Professor Kiyotaka Iwasaki at Waseda University's Faculty of Science and Engineering is a leading figure in biomedical engineering with a focus on cardiovascular device development , tissue engineering , and regulatory science . His career spans over two decades at Waseda University, including roles as Associate Professor (2006-2014) and positions at Harvard Medical School's Laboratory for Tissue Engineering. Holding a Doctor of Engineering from Waseda, he serves on numerous international regulatory committees and has contributed to ISO/TC194 standards for medical devices. 1993-2002: Waseda University Education in Mechanical Engineering 2001-2004: Research Associate at Waseda University 2004: Research Scientist at Harvard Medical School 2018-Present: Professor at Waseda University His research interests include Non-clinical testing methodologies for medical devices Regulatory science frameworks Tissue engineering for ligament and cardiac applications Cardiovascular biomedical engineering His scientific contributions reveal through Development of decellularized tissue grafts for orthopaedic surgery Innovations in 3D cardiac tissue engineering using fibrin-based cell sheet stacking Pioneering bioresorbable stent technology with magnesium alloys Creation of biomechanical simulators for valvular disease modeling His awards span from the 2021 Japanese Ministerial Science Commendation 2020 JSME Standards Award 2018 ARIA Innovation Award 2001 ASAIO Fellowship While his publications demonstrate expertise in Vascular and cardiac device testing Bioresorbable stent evaluation Machine learning in medical device regulation Decellularized tissue applications
Sara Baratchiمشاهده پروفایل
دانشیار
Associate Professor Sara Baratchi heads the Mechanobiology and Microfluidics Laboratory at the Baker Heart and Diabetes Institute and co-leads the Heart Attack Research Program. She holds academic appointments as a supervisor at RMIT University and the University of Melbourne, and is the Alice Baker and Eleanor Shaw Gender Equity Fellow. Her interdisciplinary work bridges engineering, immunology, and clinical science to address cardiovascular pathologies through innovative bioengineering approaches. Dr. Baratchi's research centers on mechanotransduction in vascular and immune cells, particularly how hemodynamic forces and extracellular matrix stiffness regulate cellular behavior in diseases like atherosclerosis and calcific aortic valve disease. She pioneers organ-on-a-chip platforms that replicate human vascular systems under pathological conditions, integrating microfluidics, single-cell omics, and patient-derived samples to develop ethical alternatives to animal testing and identify novel therapeutic targets. Her recent publications demonstrate a cohesive research trajectory focused on Piezo1-mediated mechanosensing, microfluidic device innovation, and the pathophysiological impact of altered hemodynamics. Key themes include endothelial cell responses to shear stress, substrate stiffness effects on vascular cells, and the development of dynamic flow systems for cardiovascular modeling, all aimed at translating mechanobiological insights into clinical interventions. Dr. Baratchi has received significant recognition including: Australian Vascular Biology Society Achievement and Career Development Award (2023) Alice Baker and Eleanor Shaw Gender Equity Fellowship (2023) ARC Discovery Early Career Researcher Award (2017-2020) Best Basic Research Award at Baker Institute (2020) RMIT University Established Researcher Award (2022) She has secured over $2.5 million in competitive funding from ARC and NHMRC, mentoring 20+ PhD researchers who now lead in academia and industry. As President Elect of the Australian Society for Mechanobiology and committee member for MicroTAS 2024-2025, she actively shapes the field through leadership and international collaboration. Her laboratory develops cutting-edge microfluidic platforms adopted globally, collaborating with institutions across 11+ disciplines. Current work focuses on dissecting how matrix stiffness and hemodynamic alterations in cardiovascular conditions drive pathological cellular crosstalk, aiming to establish foundational knowledge for non-invasive disease-modifying therapies.
Frans N. van de Vosse is a full Professor at the Department of Biomedical Engineering , Eindhoven University of Technology. He leads the Cardiovascular Biomechanics research group, focusing on computational and experimental analysis of cardiovascular systems, medical devices, and clinical applications. Academic Background: MSc in Applied Physics (1982), PhD in Numerical Carotid Artery Flow Analysis (1987) from TU/e Professional Affiliations: Full Professor (since 2001), Lecturer in Fluid Mechanics (1987–2001) Research Interests span cardiovascular biomechanics, including Blood in Motion , Heart at Work , and Vessels under Stress . His work emphasizes computational models, experimental techniques, and medical devices for clinical diagnosis and intervention. Key Article Trends include fetal hemodynamics, virtual patient cohorts for coronary disease, abdominal aortic aneurysm progression, and fluid-structure interaction studies in heart valves. Many publications align with UN Sustainable Development Goals related to health and well-being. Media and Public Engagement highlights his contributions to artificial womb technology discussions and clinical device validation studies. His research has been featured in Professional Commentary and PR Activities in cardiovascular engineering.
John Eberthمشاهده پروفایل
دانشیار
Dr. John F. Eberth is an Associate Professor at Drexel University's School of Biomedical Engineering, Science and Health Systems. As a cardiovascular engineer with expertise in mechanical controls, continuum biomechanics, and hydrogel-based extracellular matrix mimetics, he leads the Applied Biomechanics and Mechanobiology Lab (ABML) to investigate vascular behavior under mechanical stimuli. PhD in Biomedical Engineering from Texas A&M University (2008) MS in Mechanical Engineering from Clemson University (2004) BS in Mechanical Engineering from Clarkson University (2001) His research focuses on vascular pathology and mechanobiology, including: Aortopathy and aneurysm mechanics Endothelial dysfunction and arterial stiffening Hydrogel-based vascular grafts Calcification chelation therapy Coronary artery disease Perfusion tissue culture Recent publications demonstrate expertise in vascular imaging techniques, mechanical modeling, and therapeutic interventions. Key themes include drug-coated balloon development, collagen fiber mechanics, and bioreactor systems for vascular conditioning.
Prof. Dr.-Ing. David E. Rival is a full Professor at the Institute of Fluid Mechanics within the Faculty of Mechanical Engineering at Technische Universität Braunschweig. His research spans interdisciplinary domains at the intersection of experimental fluid dynamics, data assimilation, network science, and bio-inspiration, with applications in renewable energy systems and bio-mimetic engineering. Former Associate Professor at Queen’s University, Canada Doctoral work on dragonfly flight aerodynamics at TU Darmstadt Alexander von Humboldt research fellowship recipient (2020) Postdoctoral associate at MIT studying shape morphing in nature Research chair at University of Calgary on atmospheric sensing His work focuses on unsteady flow phenomena, bio-inspired design, and advanced measurement techniques. Key projects include: Co-chairing NATO AVT task group on flow separation International collaborations with AFOSR, NATO, and ONR Development of cost-effective flow-tracking sensors for natural environments Investigations into shear-thinning suspension dynamics and vortex ring behavior Recent publications demonstrate a strong emphasis on: Large-scale particle tracking with natural light and UAVs Machine learning for sparse data reconstruction in fluid flows Soft coastal protection methods and ecohydraulics Advanced sensing techniques for atmospheric and industrial applications Scientific Awards: 2020: Alexander von Humboldt Research Fellowship Notable research achievements include textbook authorship on Biological and Bio-Inspired Fluid Dynamics (Springer) and media features in The Nature of Things (David Suzuki) and Discovery Channel’s Daily Planet .
- Fluid Dynamics
- Thermal Science
- Energy Conversion
- +۳ مورد دیگر
Malay Kumar Das is a Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur, specializing in Fluid and Thermal Science. His academic journey includes a PhD from Pennsylvania State University (2008), M.Tech from IIT Kanpur (2003), and B.E. from Bengal Engineering College, Shibpur (1989). Previously, he worked at the West Bengal Power Development Corporation from 1990 to 2001 before transitioning to academia. His research focuses on Energy Conversion and Storage, Hydrodynamic Instability, and Thermal Science. Dr. Das's work bridges fundamental fluid dynamics with practical applications in energy systems and biomedical engineering. His expertise spans computational fluid dynamics, heat transfer phenomena, and energy conversion technologies. Analysis of Dr. Das's recent publications reveals a strong trend toward interdisciplinary research, particularly at the intersection of fluid mechanics with biomedical applications (such as blood flow modeling in cerebral aneurysms) and sustainable energy technologies (including fuel cells, methane production, and nanofluid applications). His work demonstrates both theoretical depth and practical relevance to contemporary engineering challenges. Dr. Das actively supervises research students, currently guiding 9 PhD candidates and having successfully completed 22 MTech theses with 3 more in progress. His professional activities reflect a commitment to advancing knowledge in thermal and fluid sciences while training the next generation of engineers. Outside academic pursuits, he engages in adventure sports, photography, and aerobics.
Haipeng Liuمشاهده پروفایل
استادیار
Haipeng Liu is an Assistant Professor in the Centre for Intelligent Healthcare at Coventry University. His research focuses on cardiovascular system modeling, biosignal processing, wearable nanosensors, and AI-driven diagnostics. He has supervised over 100 research outputs and holds editorial roles in journals like Frontiers in Physiology and Electronics . His work bridges clinical needs with technological innovation, particularly in healthcare technology and cardiovascular diagnostics. Research Interests: Computational modeling of cardiovascular systems, AI-enhanced diagnostics, wearable sensors, and medical imaging. Key Awards: British Heart Foundation Travel Award (2019), First Prize in National Mathematics Competition (2011). Collaborations: Active in global research networks, including the World Stroke Organization. His recent work emphasizes machine learning applications in cardiology and stroke diagnostics, with publications in Physics of Fluids , European Journal of Radiology , and Frontiers in Genetics . He is a sought-after advisor for PhD students exploring healthcare technology.
Lee Nissim is a Lecturer in the Department of Mechanical Engineering at the University of Bath, affiliated with the Centre for Bioengineering & Biomedical Technologies (CBio). He holds a PhD in Aeronautical Engineering from Imperial College London (2021), an MRes in Fluid Dynamics (2016), and a Master of Engineering from the University of Cambridge (2015). His research focuses on biomedical engineering, particularly in hemocompatibility, computational fluid dynamics (CFD), and magnetic levitation systems for medical devices like ventricular assist devices (NeoVAD). He also explores tribology in prosthetic joints and pediatric cardiovascular support systems. Key projects include the KTP collaboration with Modini Limited, advancing NeoVAD design through CFD and machine learning. His work integrates CFD simulations, experimental validation, and machine learning to optimize biomedical device performance. Recent articles highlight innovations in blood-contacting bearing design, energy-efficient rotary pumps, and pediatric LVAD prototypes. His contributions span over 15 peer-reviewed publications, emphasizing design optimization, hemodynamic analysis, and wear-resistant prosthetics. Nissim is actively supervising doctoral students and advancing interdisciplinary solutions in bioengineering and mechanical systems.
Prof.dr.ir. C. Poelma is a Professor in the Department of Process and Energy at Delft University of Technology (TU Delft). His research focuses on experimental fluid dynamics, multiphase flows, and measurement engineering. Research Areas: Cavity Engineering, Turbulent Flow, Reynolds Number Analysis, Air Lubrication, Velocity Field Measurement, and Wave Propagation. Projects: Led the Flows Unveiled project on multimodal measurement in opaque two-phase flows (2017-2022). Scientific Contributions: His work includes pioneering studies on ventilated cavities, bubbly shock waves, and particle-laden flows using X-ray and LED-based PIV techniques. He has received an ERC Advanced Grant for his research. Key Publications: 125+ research outputs, including articles in Journal of Fluid Mechanics , Ocean Engineering , and International Journal of Multiphase Flow . Datasets: Generated critical datasets for void fraction analysis, nozzle flow, and biomedical velociometry. Supervised Students: Mentored 9 PhD candidates and collaborated with researchers across fluid mechanics and biomedical engineering.
Manuel Salinasمشاهده پروفایل
دانشیار
Manuel Salinas, Ph.D., is an Associate Professor in the Department of Engineering at Nova Southeastern University's College of Computing and Engineering. He teaches core and biomedical engineering courses while mentoring students in honors theses and independent research. Postdoctorate, Harvard Medical School (2015) Ph.D. and B.S., Florida International University His research focuses on biomechanics and thermal/fluid systems, particularly how hemodynamic forces influence vascular inflammation, tissue engineering, and disease mechanisms. He develops bioreactor models for atherosclerosis and vasculitis studies, exploring oscillatory shear stress effects on stem cell differentiation and valvulogenesis. Recent work includes computational and experimental studies on vascular erosion, aortic valve tissue engineering, and mechanical stress in periodontitis-related osteoclast differentiation. Key collaborators include researchers from Harvard Medical School and Florida International University. Scientific Awards: Outstanding PhD Graduate Award (CEC, 2015) FIU Academy of Leaders Induction (2014) NIH Fellowship (2010) Alpha Eta Mu Beta Induction (2009) Salinas serves as a research mentor and NSU CEC representative for ASEE. He has led 28 courses in biomedical engineering, biomechanics, and physiological systems modeling. Current projects include Oticon-funded reverse engineering education initiatives.