Thrombogenic Risk Assessment Professors and Supervisors

Michalis Xenosمشاهده پروفایل

استاد

University of IoanninaGreece

Michalis Xenos is a Professor in the Department of Mathematics at the University of Ioannina, Greece. He holds a PhD in Applied Mathematics (2003) from the University of Patras and has held postdoctoral positions at the University of Illinois at Chicago (2003-2007) and Stony Brook University (2007-2011). His research spans Applied Mathematics, Fluid Mechanics, and Biomechanics, with a focus on Magnetohydrodynamics (MHD), Computational Fluid Dynamics (CFD), and Fluid-Structure Interaction (FSI) in cardiovascular systems. Education : BSc (1996), MSc (1998), PhD (2003) in Applied Mathematics, University of Patras. Affiliations : University of Ioannina (2011-present), Stony Brook University (postdoctoral, 2007-2011), University of Illinois at Chicago (postdoctoral, 2003-2007). His work involves modeling blood flow in aneurysms, optimizing mechanical heart valves, and analyzing hemodynamic factors in vascular diseases. Collaborators include Prof. A.A. Linninger (UIC), Prof. D. Bluestein (SUNY), and Prof. U. Morbiducci (Politecnico di Torino). His publications address MHD flows, AAA rupture risk prediction, thrombogenicity in devices, and nonlinear differential equations.

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Alvaro Fernandez Quilezمشاهده پروفایل

دانشیار

University of StavangerNorway

Alvaro Fernandez Quilez is an Associate Professor in Artificial Intelligence at the Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger. He leads the Stavanger AI Laboratory (SAIL), fostering interdisciplinary AI research with a focus on healthcare and education applications. Research Interests: His work centers on responsible AI, emphasizing ethics, fairness, transparency, and uncertainty in AI systems. He applies deep learning and machine learning techniques to medical imaging, particularly in prostate cancer and neurodegenerative diseases like Alzheimer’s and Parkinson’s. His research integrates algorithmic innovation with clinical relevance, addressing challenges in data scarcity, bias, and model interpretability. The recent publications highlight a strong trend in developing and evaluating AI models for diagnostic support in radiology and neurology. Key themes include uncertainty quantification, self-supervised learning, synthetic data generation via GANs, and fairness analysis across gender and centers. The work spans from foundational AI methods to their clinical translation in multi-center studies. Teaching and Academic Leadership: He coordinates the course DAT105 - AI for everyone and has contributed as a guest lecturer in bioinformatics, technological foundations, and PhD ethics, particularly on AI and ethics. He is also enrolled in a PhD supervisory qualification program, underscoring his growing role in graduate education. Advising and Grants: While specific students and grants are not listed in the text, his leadership of SAIL and active publication record suggest involvement in research supervision and project funding. His collaborations span multiple institutions and disciplines, indicating strong team-based research efforts. Laboratories and Teams: He leads the Stavanger AI Laboratory (SAIL), which serves as the central hub for AI research at the University of Stavanger, promoting collaboration across departments and with external partners in healthcare and technology.

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Oleg Aslanidiمشاهده پروفایل

استاد

King’s College LondonUnited Kingdom

Oleg Aslanidi is a Professor of Biomedical Engineering whose research focuses on computational modeling of cardiac electrophysiology, particularly in the context of atrial fibrillation and digital twins for healthcare. His work integrates biophysical modeling, artificial intelligence, and medical imaging to develop personalized decision-support systems for clinical cardiology. Active in research with over 114 research outputs Primary Investigator on multiple BHF- and EPSRC-funded projects Editorial roles in journals such as Frontiers in Cardiac Electrophysiology Focus on translational modeling for ablation therapy and stroke risk prediction His research interests lie at the intersection of engineering and medicine, with a strong emphasis on using computational tools to understand and treat cardiac arrhythmias. Key areas include atrial fibrillation mechanisms , thrombogenesis risk modeling , image-based patient-specific simulations , and AI-driven clinical predictions . He employs multi-scale modeling techniques that span from ion channels to whole-organ dynamics, often integrating MRI data for anatomical accuracy. The recent trend in his publications shows a clear shift toward integrating artificial intelligence with biophysical models to enhance clinical decision-making. His work increasingly emphasizes interpretability in deep learning , non-Newtonian blood flow modeling , and personalized risk stratification for stroke and ablation outcomes. These articles span disciplines such as biomedical engineering, cardiology, computational fluid dynamics, and machine learning, reflecting a highly interdisciplinary approach. His scientific contributions are recognized through active editorial and peer-review roles: Associate Editor, Frontiers in Cardiac Electrophysiology (2021–present) Peer reviewer for IEEE Access , Philosophical Transactions of the Royal Society A , and other leading journals Invited speaker at international workshops and conferences As a research leader, Dr. Aslanidi has supervised several trainees and leads a research group focused on computational cardiology. He has secured significant grant funding, including from the British Heart Foundation and EPSRC, supporting projects such as: Computational decision support system for atrial fibrillation management (2024–2027) Image-based system for guiding ablation treatment (2018) Dissecting multifactorial mechanisms of atrial fibrillation (2015–2018) Evolution of arrhythmogenic substrate in canine atria (2012–2014) His work contributes to UN Sustainable Development Goals related to good health and well-being, particularly through improving cardiovascular disease outcomes.

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Adeline WANNEZمشاهده پروفایل

پژوهشگر

University of NamurBelgium

Dr. Adeline WANNEZ is a researcher at the Faculty of Medicine, University of Namur, specializing in thrombosis mechanisms and extracellular vesicle biology. Her work bridges biomedical science with clinical hematology. Doctorate in Biomedical and Pharmaceutical Sciences (2018) Master in Biomedicine (2014) Research Interests: Focuses on blood coagulation risks , extracellular vesicle dynamics , and hematological malignancies . Key methodologies include flow cytometry and clot-based assays . Her publications (2016-2020) cover thrombosis in leukemia patients microRNA biomarkers in lymphoma procoagulant activity of blood products flow cytometry protocols for vesicle analysis

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Katharina Riedlمشاهده پروفایل

پژوهشگر

University Medical Center Hamburg-EppendorfGermany

Katharina Riedl is a researcher at the Clinic and Polyclinic for Cardiology at the University Medical Center Hamburg-Eppendorf (UKE). Her work focuses on cardiovascular imaging and machine learning applications in cardiology, particularly in intravascular ultrasound (IVUS) and cardiovascular magnetic resonance (CMR) . Her research explores thrombogenicity of coronary stents, post-COVID multi-organ effects, myocardial scar detection, and AI-driven segmentation of vascular images. Key trends in her publications include automated delineation of coronary structures , FFR (fractional flow reserve) analysis , and myocarditis recovery mechanisms . She collaborates extensively within the Hamburg City Health Study and contributes to multi-organ assessment post-SARS-CoV-2 infection. Her work integrates advanced imaging techniques with computational modeling and clinical data analysis to improve diagnostic and therapeutic strategies in cardiology.

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Celalettin Usalanمشاهده پروفایل

استاد

Gaziantep UniversityTurkey

Professor Celalettin Usalan has served at Gaziantep University Faculty of Medicine, Department of Internal Medicine since 2006. With a specialization in nephrology and internal medicine, he focuses on renal transplantation, hypertension, chronic kidney disease, and cardiovascular risk factors in renal patients . His research explores biomarkers like urinary angiotensinogen and therapeutic interventions in transplant recipients. Education: Completed medical and nephrology training at Hacettepe University (1986–1999). Research Interests: Nephrology, renal transplantation, hypertension, biomarkers, pharmacological interventions in kidney disease. Recent research trends include urinary angiotensinogen as a biomarker for cardiovascular risk in transplant patients, effects of calcitriol on renal outcomes, and dual inhibition therapies for hypertension. His work spans clinical trials, pathophysiology studies, and pharmacological evaluations in renal and cardiovascular comorbidities. Supervised Theses: Mentored studies on hepcidin in dialysis, adiponectin in cardiovascular abnormalities, cognitive functions in ESRD, and donor factors in renal transplantation.

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Filippo Consoloمشاهده پروفایل

پژوهشگر

Vita-Salute San Raffaele UniversityItaly

Filippo Consolo is a Researcher (RTD type A) at the Faculty of Medicine and Surgery of Vita-Salute San Raffaele University in Milan, Italy, and Principal Scientist at the PAS Lab, IRCCS Ospedale San Raffaele (2017–present). His work focuses on cardiovascular bioengineering , integrating hemodynamic modeling , shear stress analysis , and microfluidic platforms for thrombogenic risk assessment in mechanical circulatory support (MCS) devices. Education : PhD in Biomedical Engineering (Politecnico di Torino, 2010); MS in Biomedical Engineering (Politecnico di Milano, 2006); MS in Micro/Nanotechnologies for Bioartificial Systems (Politecnico di Torino, 2007) His research interests span device thrombogenicity, platelet activation mechanisms, and patient-specific hemodynamic monitoring in LVAD recipients. Recent work explores AI integration for real-time device optimization and non-invasive ventilation strategies in emergency care. Notable scientific awards : 2015 ESB Best Poster Award 2008 ASME 2nd Place in PhD Poster Competition He teaches Biofluidics and Biocompatibility at Università degli Studi di Pavia, and Wearable Devices at Vita-Salute San Raffaele. Collaborations include Marvin Slepian (Arizona), Danny Bluestein (Stony Brook), and Alberto Redaelli (Politecnico di Milano).

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Marvin Slepianمشاهده پروفایل

استاد

University of ArizonaUnited States

Marvin Slepian is the Regents Professor of Medicine and Director of the Arizona Center for Accelerated Biomedical Innovation at the University of Arizona. As an affiliate faculty member in the College of Information Science, his work bridges biomedical engineering and clinical medicine. His research focuses on innovative medical devices, including polymeric heart valves and wearable health monitoring systems, with a particular emphasis on platelet biology, thrombosis prevention, and telehealth applications. He leads interdisciplinary teams to translate engineering advancements into clinical solutions, addressing critical challenges in cardiovascular care and remote patient management. Research Interests: Dr. Slepian’s expertise spans biomedical device development, cardiovascular mechanics, and wearable sensor technology. His studies explore the mechanical and biochemical interactions between blood and medical devices, particularly in contexts like transcatheter aortic valve replacement (TAVR) and mechanical circulatory support. He also investigates novel therapies for pain management and diabetes complications, leveraging electromechanical innovations and digital health systems. Key Projects: Recent work includes developing valveless pulsatile flow devices, analyzing shear stress effects on platelet activation, and advancing telemedicine tools for remote diagnostics. He has pioneered methods to assess motion and reflex signatures using wearable sensors and smartphone-based systems, enhancing accessibility in healthcare delivery. Labs & Teams: As Director of the Arizona Center for Accelerated Biomedical Innovation, Dr. Slepian fosters collaborations between engineers, clinicians, and industry partners to accelerate translational research. His lab focuses on biomaterials, computational modeling of cardiovascular systems, and precision medicine technologies.

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Stig Eggen Hermansenمشاهده پروفایل

دانشیار

UiT The Arctic University of NorwayNorway

Stig Eggen Hermansen is an Associate Professor at the Department of Clinical Medicine , UiT The Arctic University of Norway. His research focuses on cardiovascular medicine, critical care, and trauma resuscitation. Role: Associate Professor Institution: UiT The Arctic University of Norway Department: Clinical Medicine Research Group: Cardiovascular research group IKM Research Interests : Cardiovascular surgery outcomes, graft patency mechanisms, ECMO therapy effects, and hemodynamic management in cardiogenic shock. His work spans clinical audits, molecular studies of endothelial cells, and comparative analyses of vascular grafts. Recent Publications (2022–2002) : • Radial artery vs. saphenous vein graft occlusion risk factors • Hypothermic circulatory arrest outcomes in animal models • Long-term patency rates of coronary artery bypass grafts • ECMO therapy and post-treatment quality of life • Adrenomedullin's role in endothelial progenitor cell function • Vasopressin effects on multi-organ perfusion Contact: stig.hermansen@uit.no

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Erol Veznedarogluمشاهده پروفایل

استاد

Drexel UniversityUnited States

Erol Veznedaroglu, MD, is the Robert A. Groff Chair in Neurosurgery and Interim Chair of Neurology at Drexel University College of Medicine. He founded the Capital Institute for Neurosciences and leads the Global Neurosciences Institute (GNI), a consortium advancing comprehensive neurologic care across vascular, tumor, spine, and functional domains. His clinical expertise spans stroke, aneurysms, arteriovenous malformations, and neurocritical care. Education: MD - State University of New York at Buffalo School of Medicine (1996) BA - New York University (1989) Research Focus: Dr. Veznedaroglu pioneers endovascular therapies for cerebrovascular disorders. His work integrates stroke prevention, novel thrombectomy devices, and intra-arterial drug delivery for glioblastoma. Research emphasizes clinical translation, with trials like DAWN (thrombectomy in wake-up strokes) and FRED (intracranial aneurysm devices). Publication Trends: Recent articles reflect leadership in neurointerventional innovation, particularly thrombectomy techniques (Trevo/Solitaire devices), aneurysm management, and stroke systems optimization. Studies emphasize real-world efficacy, device safety, and protocol standardization. Awards & Honors: NJ Biz Power 50 Health Care (2014) Top Doctors, South Jersey Magazine (2010-2013) Academics in Medicine Award (2013) Guide to America's Top Surgeons (2007-2012) William A Buchheit Teaching Awards (2004-2008) Science Educator Award, Society for Neuroscience (2005) Grants & Leadership: Principal investigator for NIH-funded trials (e.g., POSITIVE, TREVO Registry) and industry studies (e.g., FRED, WEAVE). Directs GNI's multidisciplinary teams across 12+ subspecialties, including Alzheimer’s, Parkinson’s, and pediatric neurology. Infrastructure: Established Capital Health's neuro-emergency department reducing door-to-needle times for stroke thrombolysis. Developed simulation-based training curricula for endovascular techniques adopted by AANS/CNS.

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