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.
Vikram Kodibagkar is a Professor in the School of Biological and Health Systems Engineering at Arizona State University, with additional affiliations to the School of Medicine and Advanced Medical Engineering. He leads the Prognostic Bioengineering (ProBE) Lab, conducting cutting-edge research in cellular and molecular imaging, magnetic resonance physics, and biomedical engineering. Education: Ph.D. in Physics, Washington University, St. Louis (2002) M.Sc. in Physics, Indian Institute of Technology-Mumbai (1997) B.Sc. in Physics, University of Mumbai, India (1995) Research Focus: Professor Kodibagkar's research centers on developing advanced imaging technologies for medical applications. His work encompasses cellular and molecular imaging , multimodality probe development , and magnetic resonance oximetry . A key focus is the development of novel contrast agents and imaging techniques for detecting hypoxia in tumors and brain injuries. His lab also works on compressed sensing accelerated magnetic resonance spectroscopic imaging (MRSI) and functional imaging of implants . The ProBE Lab emphasizes comprehensive understanding of both theory and practical techniques to train the next generation of imaging leaders. Current research activities include developing non-invasive methods for real-time monitoring of engineered cells and tissues, investigating tumor oxygenation dynamics, and creating novel MRI nanosensors for various medical applications. Research Funding and Grants: Professor Kodibagkar has secured significant funding from major organizations including: National Institutes of Health (NIH) - Multiple R01 grants National Science Foundation (NSF) - CAREER Award US Department of Defense (DOD) DARPA/BTO Flinn Foundation Texas Higher Education Coordinating Board Teaching and Mentorship: He teaches various courses including BME 350 Signals & Systems for Bioengineers, BME 465/565 Magnetic Resonance Imaging, and supervises honors theses and research projects. His teaching spans undergraduate to doctoral levels, focusing on biomedical engineering and imaging technologies. Laboratory and Team: Professor Kodibagkar directs the Prognostic Bioengineering (ProBE) Lab at Arizona State University. The lab conducts interdisciplinary research combining engineering, physics, and medicine to develop next-generation imaging technologies for clinical applications.
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.
Owais Khan serves as an Assistant Professor in the Department of Biomedical Engineering at Toronto Metropolitan University, where he leads research in cardiovascular biomechanics to improve heart disease diagnosis and treatment through engineering-driven approaches combining computational simulations, medical imaging, and biomechanics. His research program focuses on three interconnected pillars: developing physics-based computational models for blood flow simulation in patient-specific anatomies; advancing medical imaging techniques like dynamic CT myocardial perfusion and vessel wall MRI for quantitative physiological assessment; and conducting fundamental biomechanics studies to optimize prosthetic valve designs. This work directly addresses critical clinical challenges including heart surgery complications, aneurysm rupture prediction, and vein graft failure in coronary bypass patients. Khan's publication record demonstrates consistent innovation in cardiovascular computational modeling, with recent work emphasizing personalized medicine through physics-informed neural networks, multi-fidelity uncertainty quantification, and integration of CT perfusion imaging for coronary hemodynamics. His research bridges engineering principles with clinical cardiology to enable virtual treatment planning and risk stratification without additional patient risk. His scientific contributions have been recognized with prestigious awards including the American Heart Association Postdoctoral Fellowship, NSERC Postdoctoral Fellowship, Baxter Young Investigator Award, and MITACS Globalink Research Award. As director of the Cardiovascular Imaging and Modeling Biomechanics Lab (CIMBL), Khan maintains active collaborations with clinicians and radiologists at major hospitals, facilitating direct translation of engineering solutions to clinical cardiovascular medicine through a multi-disciplinary approach focused on personalized treatment strategies.
Albert J. Sinusas, M.D., is a Professor of Medicine (Cardiovascular Medicine and Radiology & Biomedical Imaging) at Yale University School of Medicine and holds adjunct roles in Biomedical Engineering. He leads the Yale Translational Research Imaging Center (Y-TRIC) and directs Advanced Cardiovascular Imaging at Yale New Haven Hospital. His roles include Chairman of multiple committees (Yale Radioactive Drug Research Committee, Radiation Safety Committee) and Board Member of the Intersocietal Accreditation Commission (IAC) for Nuclear/PET imaging. Dr. Sinusas earned his MD from the University of Vermont and completed training in Internal Medicine at the University of Oklahoma and Cardiology/Nuclear Cardiology at the University of Virginia. His research focuses on cardiovascular imaging innovations, including molecular imaging of myocardial injury, angiogenesis, and peripheral artery disease. His translational work employs multidisciplinary modalities such as PET/CT, SPECT/CT, MRI, and echocardiography. He leads NIH-funded grants and trains researchers through a T32 grant. With over 250 peer-reviewed publications, he co-edited textbooks on cardiovascular molecular imaging and hybrid imaging in cardiovascular medicine. Key research interests include developing novel imaging tracers, AI-enhanced diagnostic tools, and non-invasive assessment of cardiovascular pathophysiology. Notable contributions include advancements in PET-derived myocardial blood flow quantification and SPECT imaging optimization using deep learning. Dr. Sinusas has received prestigious awards like the SNMMI Hermann Blumgart Award (2008) and is frequently recognized in 'Best Doctors in America.' He serves on editorial boards for Journal of Nuclear Medicine , Journal of Nuclear Cardiology , and JACC: Cardiovascular Imaging . His clinical expertise includes ECG, stress testing, and interpretation of SPECT/PET imaging studies. He oversees Y-TRIC’s mission to bridge preclinical and clinical imaging research, fostering collaboration across engineering, radiology, and cardiology.
Delphine Périé-Curnier is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal and Director of Graduate Studies. Her research focuses on developing quantitative MRI techniques for non-invasive characterization of living tissue mechanical properties, particularly in cardiotoxicity detection and musculoskeletal mechanobiology . She leads the Bioperformance Analysis and Innovation Laboratory (LIAB) and contributes to the Institute of Biomedical Engineering. Education: Ph.D. from Paul Sabatier University, Toulouse, France Her work bridges medical imaging , biomechanical modeling , and finite element analysis to predict disease progression through pathomechanism understanding. Key projects include exercise-induced cardiac changes in childhood cancer survivors and spinal biomechanics in scoliosis. Recent publications (2023-2024) emphasize cardiovascular MRI for childhood cancer survivorship and hemodynamic modeling in left ventricle analysis. She supervises 26 graduate students, with completed theses spanning topics like doxorubicin cardiotoxicity , knee replacement stability , and spatial cardiac MRI protocols . Teaching includes graduate courses in biomedical design , advanced biomechanics , and modeling techniques .
Louise Pilote, MD, MPH, PhD is Professor of Medicine in the Department of Medicine, Division of Internal Medicine , McGill University , and Senior Scientist in the Cardiovascular Health Across the Lifespan Program at the Research Institute of the McGill University Health Centre (RI-MUHC) , Montréal, Canada. Education: Louise Pilote holds the combined degrees of MD, MPH, and PhD, reflecting advanced clinical, public-health and research training that underpins her translational work. Research Focus: Internationally recognized pioneer in sex- and gender-based cardiovascular epidemiology , developing novel gender indices to disentangle biological (sex) and sociocultural (gender) determinants of cardiovascular outcomes. Leads the multinational GOING-FWD consortium (Gender Outcomes International Group to Further Well-being Development), integrating sex/gender analytics across 30 cohorts totaling 30 million patients with chronic diseases. Authority on comparative effectiveness and pharmacoepidemiology leveraging administrative “Big Data”, clinical registries, and advanced biostatistical/machine-learning methodologies. Current clinical-translational projects include imaging-based diagnosis of coronary microvascular dysfunction , a condition disproportionately affecting women. Scientific Impact & Awards: While formal awards are not enumerated in the supplied text, Dr Pilote’s sustained leadership as senior author on major Canadian and international cardiovascular guidelines, her role in founding the GOING-FWD network, and her extensive publication record (398 PubMed-indexed articles, 1988-2025) collectively constitute significant peer recognition. Students & Mentoring: Specific trainee names are not provided in the text; however, as Professor at McGill and Senior Scientist at RI-MUHC she supervises graduate students, clinical research fellows, and post-doctoral researchers in cardiovascular epidemiology, data science, and gender medicine. Laboratories & Teams: Dr Pilote heads the cardiovascular epidemiology research group within the Centre for Outcomes Research and Evaluation (CORE) at RI-MUHC, coordinating a multi-disciplinary team of biostatisticians, data scientists, clinician-scientists, and trainees.
Irene del Canto Serrano is a Researcher in the Department of Electronic Engineering at the School of Engineering, Universitat de València. Her work integrates biomedical engineering with cardiac electrophysiology, focusing on the interaction between mechanical forces and electrical activity in the heart. She is actively involved in two key research groups: GRELCA (Cardiac Electrophysiology group) and i2N (Electronic Instrumentation in Medical and Nuclear Physics), reflecting her dual expertise in physiology and instrumentation. Education: PhD in Biomedical Engineering, Universitat Politècnica de València (2015). Thesis: Estudio de las modificaciones farmacológicas de los efectos electrofisiológicos producidos por el estiramiento local miocárdico a partir de técnicas dinámicas de cartografía eléctrica, en un modelo experimental de corazón aislado de conejo , supervised by Dr. David Moratal Pérez and Dr. Francisco Javier Chorro Gascó. Her research interests center on cardiac electrophysiology , particularly mechanoelectric feedback , myocardial stretch , arrhythmia mechanisms , and pharmacological modulation using experimental models. She also explores cardiac imaging , especially cardiac MRI for strain and deformation analysis, and applies machine learning to improve detection and classification in myocardial infarction. Her recent publications highlight a strong trend toward integrating biomarkers (e.g., ferritin), iron therapy , and cardiac function recovery in heart failure, showing translational relevance. Her 15 most recent publications reflect a consistent focus on experimental cardiology using isolated heart models, pharmacological interventions (ranolazine, GS967, eleclazine), and advanced imaging techniques. She investigates how drugs affect stretch-induced arrhythmias, evaluates MRI-based strain changes post-iron therapy, and develops AI tools for cardiac image analysis. These works span basic science (e.g., CaMKII inhibition) to clinical applications (e.g., Myocardial-IRON trial analysis). Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While no formal students or grants are listed, her role as a postdoctoral researcher and active publication record suggest involvement in mentoring junior researchers and contributing to funded projects, particularly within the GRELCA and i2N groups. She has co-authored numerous experimental studies, indicating strong collaborative and project-based research activity. Labs and Teams: Irene is affiliated with two prominent research groups at Universitat de València: GRELCA (Cardiac Electrophysiology group) , which studies arrhythmia mechanisms and therapeutic interventions, and i2N (Electronic Instrumentation in Medical and Nuclear Physics) , which develops advanced tools for medical diagnostics. These affiliations underscore her interdisciplinary approach, combining physiology, engineering, and data science.
Professor Martin Graves is Professor of Magnetic Resonance Physics at the University of Cambridge, holding appointments within the School of Clinical Medicine and Department of Radiology. Since 1996, he has led the MRI Physics group at Addenbrooke's Hospital in Cambridge and serves as Honorary Consultant Clinical Scientist for the NHS. His primary institutional affiliation is with the Cambridge Mathematics of Information in Healthcare (CMIH) Hub at the Centre for Mathematical Sciences. His research focuses on advanced magnetic resonance imaging techniques with particular emphasis on hyperpolarized carbon-13 MRI for metabolic imaging applications. Key research areas include cardiac imaging for myocardial infarction assessment, cancer metabolism studies in renal cell carcinoma and ovarian cancer, neuroimaging of brain metabolism, and development of quantitative MRI methodologies. His work bridges physics, clinical medicine, and computational analysis to address diagnostic challenges in cardiovascular disease, oncology, and neurology. Analysis of his recent publications (2021-2025) reveals strong trends in hyperpolarized pyruvate imaging for cancer treatment monitoring, radiomics for plaque vulnerability assessment, and technical innovations in zero echo-time MRI. His research consistently targets clinical translation of advanced MRI techniques, with substantial focus on quantitative biomarkers for early treatment response assessment. No scientific awards or honors are documented in the provided materials Graves maintains active clinical-academic integration through his NHS consultancy role while leading physics research within Cambridge's imaging infrastructure. His work demonstrates consistent collaboration across medical specialties including cardiology, oncology, and neurology, with emphasis on developing clinically viable quantitative imaging biomarkers. The CMIH Hub serves as his primary research platform for mathematical approaches to healthcare imaging challenges.
Professor John Greenwood serves as Director and Chief Executive of the Baker Heart and Diabetes Institute , with honorary professorships at the University of Melbourne , Monash University , and University of Leeds, UK . He is a consultant cardiologist specializing in coronary intervention and cardiovascular magnetic resonance (CMR) imaging . His research focuses on: Diagnosis and treatment of stable/unstable coronary artery disease CMR pulse sequence development and validation (CE-MARC trials) Multi-center drug/device trials for STEMI and complex coronary disease Machine learning applications in cardiac imaging Recent publications highlight trends in CMR-guided clinical decision-making, ischemic cardiomyopathy, and post-COVID-19 cardiac effects. Key awards include the SCMR Gold Medal (2023) and Honorary Life-Fellowships from the British Cardiovascular Society and Irish Cardiac Society. Professional Leadership: President of British Cardiovascular Society (2021–2024) Former BSCMR President (2018–2020) SCMR Guideline Committee Member (2018–2021) Advising : Supervised ~30 MD/PhD students. Grants : British Heart Foundation Clinical Research Collaborative, Heart Research UK.
Dr. Peter Swoboda is an honorary Associate Professor in Cardiology at the University of Leeds and a consultant cardiologist. His research focuses on the interplay between exercise and cardiac disease, particularly in aging populations, funded by the British Heart Foundation. He also investigates advancements in heart failure diagnosis and treatment. Clinically, he specializes in cardiac imaging, leading the cardiac MRI service at Mid Yorkshire Teaching Hospitals Trust and serving on the British Society for Cardiovascular Magnetic Resonance (BSCMR) board. His research portfolio includes studies on myocardial fibrosis in endurance athletes, arrhythmia risk in veteran athletes, and the diagnostic utility of 4D flow MRI. He leads the CE-MARC 3 trial, evaluating cost-effective approaches to stable chest pain management. Over 15 peer-reviewed articles from 2025–2023 highlight his work in cardiac imaging, ischemia, and post-COVID cardiac involvement. No scientific awards are listed. His clinical roles include overseeing MRI services and contributing to national cardiovascular imaging guidelines. He actively collaborates on studies involving cardiac mechanics, genetics of cardiomyopathy, and exercise physiology impacts on cardiac structure.
Marie Dam Lauridsen is a Clinical Instructor at North Denmark Regional Hospital, affiliated with Aalborg University's Faculty of Medicine, Department of Clinical Medicine. Her research focuses on chronic obstructive pulmonary disease (COPD), cardiogenic shock, and patient outcomes in respiratory medicine. She leads the 2025 project 'SEXA-PRO' investigating gender differences in COPD prognosis. Her work integrates telemedicine innovations and cohort analysis to improve diagnostic accuracy and treatment efficacy. Education : Not explicitly stated in provided text. Key research interests include COPD severity stratification, biomarker identification, and healthcare system optimization through telemedicine. Recent studies examine diuretic use impacts, patient mortality patterns, and treatment intensity as prognostic tools. Her 2024 publications highlight telehealth solutions for COPD and epidemiological cohort studies on blood eosinophil levels. Collaborative projects emphasize clinical trial design, healthcare equity, and multidisciplinary care approaches. She has supervised research projects and contributed to national cohort analyses, with findings published in Respiratory Medicine and European Respiratory Journal . Awards : None explicitly listed in text. Advising and grants involvement includes supervision in the 2025 project and contributions to grant-funded COPD research initiatives. Active in lab teams focusing on respiratory disease mechanisms and clinical decision-making tools. Labs/teams: Engaged in Aalborg University's clinical medicine research groups, particularly those addressing COPD heterogeneity and telehealth integration.
Associate Professor Socrates Dokos is Deputy Head of the Graduate School of Biomedical Engineering at UNSW Sydney. His research focuses on computational modeling of electrical and mechanical properties in excitable tissues, with over 160 publications and a sole-authored textbook on Modelling Organs, Tissues, Cells and Devices . He leads interdisciplinary work combining computational modeling, systems identification, and experimental electrophysiology. Current IEEE EMBC Editor for Computational Systems & Synthetic Biology Member of EMBS Technical Committee on Therapeutic Systems and Technologies Key research areas involve Cardiac electrical and mechanical function modeling Retinal neural stimulation simulations Electroconvulsive therapy (ECT) optimization Biomechanical modeling of tissues and devices Parameter optimization for ionic cell models Cardiovascular-rotary blood pump interactions His recent publications demonstrate expertise in multi-scale biological modeling, cardiac hemodynamics, retinal prosthetics, and therapeutic neuromodulation techniques. He actively engages in developing standards for the Modeling Markup Language (MML) framework. Contact: Room 506, Samuels Building (F25), UNSW Sydney. Email: s.dokos@unsw.edu.au . ORCID: 0000-0002-7399-2712
Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .
Gerhard A. Holzapfel is a Full Professor of Biomechanics and Head of the Institute of Biomechanics at Graz University of Technology (Austria) since 2007. He holds adjunct and visiting positions at KTH Royal Institute of Technology (Sweden) and the University of Glasgow (Scotland). His academic journey includes a PhD in Mechanical Engineering from Graz University of Technology, a Habilitation from TU Vienna (1996), and prestigious awards such as the START-Award (1997) and the Warner T. Koiter Medal (2021). His research focuses on constitutive modeling of biosolids, nonlinear continuum mechanics, and medical image processing. Notable contributions include studies on arterial wall mechanics, fibrous tissue behavior, and computational biomechanics. Holzapfel leads interdisciplinary teams exploring mechanobiology, vascular pathologies, and biomaterials, with applications in cardiovascular engineering and disease modeling. Education: PhD in Mechanical Engineering, Graz University of Technology Habilitation, TU Vienna (1996) Research Highlights: Multi-scale modeling of biological tissues Biaxial mechanical testing and microscopy integration Computational fluid-structure interaction (FSI) in vascular systems Biomechanical implications of medical interventions (e.g., stents, angioplasty) Awards: Warner T. Koiter Medal (2021) Corresponding Member, Austrian Academy of Sciences (2012) Erwin Schrödinger Prize (2011) START-Award (1997) Labs & Teams: Leads the Institute of Biomechanics at TU Graz, collaborating with international teams on vascular biomechanics and mechanobiology.
