Find Academic Supervisors

Orestis L. KatsamenisView profile

Lecturer

• 3D X-ray Histology
• Microfocus Computed Tomography
• Biomedical Imaging
• +6 more

Dr Orestis L. Katsamenis is a Lecturer in Biomedical Imaging at the University of Southampton , affiliated with the Faculty of Engineering and Physical Sciences (FEPS) and the Faculty of Medicine (FoM) . He leads the 3D X-ray Histology and Biomedical Imaging Theme at the μ-VIS X-ray Imaging Centre and holds a visiting position at the University Hospital Southampton NHS Foundation Trust in the Biomedical Imaging Unit of Cellular Pathology and Child Health. Education: BSc in Materials Science (University of Patras, 2007), MSc in Materials Science (University of Patras, 2009), PhD in Bioengineering (University of Southampton, 2012). His research focuses on 3D X-ray Histology (XRH) and Microfocus Computed Tomography (μCT) applied to biological and clinical imaging , pharmaceutical technology , and bone nanostructure . He has pioneered μCT protocols for clinical histology and developed advanced 3D imaging tools for applications in drug delivery , tissue engineering , and evolutionary biology . His work spans multidisciplinary collaborations with engineers, medical professionals, and paleontologists. Recent publications highlight his contributions to 3D imaging of bone , microneedle design , 4D-printed polypills , and paleontological studies . He has received awards including the EPSRC Doctoral Prize Award (2012) and multiple scientific presentation honors (2018) . Dr Katsamenis supervises PhD student Ayesha Mohiud Din and collaborates with research groups like the Engineering Materials and Surface Engineering Group and the Institute for Life Sciences . His Google Scholar profile lists over 20 recent articles, showing his prolific and diverse research output.

Ammar HooriView profile

Academic

• Cardiac Imaging
• Data Science
• Artificial Intelligence
• +7 more

Ammar Hoori, PhD, is a Research Assistant Professor in the Department of Biomedical Engineering at Case Western Reserve University, affiliated with both the Case School of Engineering and School of Medicine. His research focuses on cardiac image analysis, leveraging advanced techniques like image registration, deep learning, and survival analysis. He leads NIH-funded projects involving CT calcium scoring, IVOCT, and chest CT imaging, collaborating with cardiologists from University Hospitals Cleveland and engineers from CWRU. His work emphasizes developing calcium-omics and fat-omics features to improve cardiovascular disease prediction. His research team employs cutting-edge methods such as deep learning segmentation for epicardial adipose tissue analysis, aiming to optimize patient care through AI-driven risk stratification. Hoori’s contributions include the development of the DeepFat algorithm for automated fat quantification and collaborations on stent under-expansion prediction using OCT imaging. He is also involved in the Biomedical Imaging Laboratory (BMIL), contributing to advancements in cryo-imaging and 3D visualization techniques. Key areas of innovation include AI-enabled risk prediction for heart failure, MACE (Major Adverse Cardiovascular Events), and coronary artery disease using opportunistic data from routine CT scans. His work bridges clinical and engineering expertise to advance non-invasive diagnostic tools and personalized medicine strategies.

Robert NordonView profile

Associate Professor

• Biomedical Engineering
• Advanced Manufacturing
• Medical Technologies
• +5 more

Associate Professor Robert Nordon is a faculty member at UNSW Sydney's Graduate School of Biomedical Engineering. He holds an MB BS, BMedSci, and PhD, with research focusing on advanced manufacturing and medical technologies. Since 2016, he has secured over $5M in research grants for projects in point-of-care diagnostics, cell/gene therapy manufacturing, and stem cell science. Research interests span three primary domains: Developing microfluidic single-use disposables for scalable clinical cell production Modeling cardiovascular development using stem cell-based microfluidic systems Creating computational tools for single-cell analysis and lineage tracking His publications (2017-2024) demonstrate strong emphasis on microfluidic device engineering, stem cell dynamics, and biomaterials development. Recurring themes include hematopoietic stem cell expansion, cardiac cell behavior, and peptide-based biomaterials. Significant grants include: ARC Linkage Grant LP160100570: Scaling microfluidics for cell manufacture (2016-2019) ARC Linkage Grant LP160100573: 3D microstructures for medical devices (2016-2019) ARC Linkage Grant LP190100029: Electrophoretic cell sorters (2020-2023) CRC-P: Microbioreactor for affordable cell/gene therapy (2021-2023) Current research trainees include Farzaneh Ziaee and Eric Du.

Adèle CARRADOView profile

Professor

• Solid State Physics
• Biomedical Engineering
• Materials Science
• +3 more

Dr. Adèle Carradò is a Full Professor in Solid State Physics at the University of Strasbourg (UNISTRA), affiliated with the Institute of Physics and Chemistry of Materials (IPCMS). Her research focuses on bioactive coatings, surface characterization of metallic and multi-layer systems, and mechanical properties of hybrid materials. PhD in Mechanics and Material Science (University of Reims, 2001) HDR (University of Strasbourg, 2004) Research Assistant (University of Ancona, 1997-1998) Post-doc (CEA Saclay, 2002) Her work includes over 70 original articles, two patents, and 50+ invited lectures. She specializes in: Residual stress analysis via neutron and synchrotron radiation Functional thin films for biomedical applications Mechanical behavior of metal/polymer/metal systems 3-layered sandwich structures for lightweight design Zn-Mg alloys for orthopedic implants Surface grafting techniques for biomaterials Recent publications highlight advancements in: Biodegradable Zn-Mg alloys with PMMA coatings ATUM-SEM for bone microstructure analysis Forming mechanics of steel-glass fiber-reinforced composites Residual stress optimization in extruded and drawn materials She actively participates in international conferences and serves on executive committees for biomedical materials symposia.

Nick VirgilioView profile

Professor

• Thermodynamics
• Multiphase systems
• Surfaces, interfaces and thin layers
• +2 more

Nick Virgilio is a Full Professor in the Department of Chemical Engineering at Polytechnique Montréal . His research focuses on soft matter interfaces, polymer blends, and advanced hydrogel systems for biomedical and catalytic applications. Director, Research Laboratory on Surfaces, Interfaces and Soft Matter Member, Research Center for High-Performance Polymer and Composite Systems (CREPEC) Research interests include interfacial phenomena in multiphase systems, self-assembly of soft materials, nanoparticle-hydrogel composites, Pickering emulsions, and polymer microstructure engineering. Scientific awards include the 2010 Canadian Macromolecular Science Thesis Prize and the 2004 Polytechnique Montréal Master's Thesis Award. Recent publications highlight his work in macroporous hydrogels for cancer cell capture, nanoparticle synthesis in soft matrices, and interfacial control of polymer blends. His studies frequently appear in high-impact journals like ACS Applied Materials & Interfaces , Green Chemistry , and Macromolecules . Students under his supervision have explored topics from biofilm mechanics to lunar environment polymer systems across 4 PhD and 6 Master’s theses completed or ongoing.

• low dimensional magnetism
• hydrogen in metals
• neutron scattering
• +7 more

Björgvin Hjörvarsson is a Professor in Physics at Uppsala University's Department of Physics and Astronomy, specifically within the Materials Physics division where he served as Head until 2024. He is Principal Investigator of the Super ADAM project, Sweden's national neutron facility, and an elected member of both the Royal Academy of Sciences and the Royal Society of Sciences in Uppsala. His research spans low-dimensional aspects of phase transitions, particularly in magnetism and hydrogen in metals. His work has evolved to emphasize finite size effects on structural and magnetic ordering, additive manufacturing, and energy storage and transformation. His research methodology heavily relies on neutron scattering techniques and international collaborations across experimental and theoretical physics. Hjörvarsson's recent publications (2022-2025) reveal a strong focus on metallic glasses produced via additive manufacturing, artificial spin ice systems, magnetic superlattices, and advanced characterization techniques. His work bridges fundamental physics with practical applications in energy storage, materials engineering, and biomedical technologies. Vattenfalls Energistipendium (1985) Liljewalchs scholarship (1989) Good-Guy Award from Fysiska Sällskapet (1990) Idée award from Uppsala University (1995) Benzelius award from Royal Society of Sciences of Uppsala (1995) Letterstedtska award from Royal Swedish Academy of Sciences (2003) Hjörvarsson has supervised 27 PhD students to completion, 1 licenciate student, and currently guides 9 PhD students while supervising 2-3 master's students annually. His research is supported by significant infrastructure including the Super ADAM neutron facility at ILL, Grenoble, which he initiated and developed as Sweden's national neutron scattering infrastructure. Beyond traditional research, he's known for innovative outreach efforts including educational videos on neutron science. Hjörvarsson leads the Materials Physics research group, which maintains strong international collaborations and focuses on experimental condensed matter physics with connections to engineering applications. His team operates specialized laboratories for thin film growth, magnetic characterization, and neutron scattering experiments, supporting both fundamental research and industrial applications.

Edvin Tobias Bokvist WrammerforsView profile

Researcher

• Medical Engineering
• Osteoarthritis
• Neutron Tomography
• +7 more

Edvin Tobias Bokvist Wrammerfors is a doctoral student at the Division for Biomedical Engineering , under the Faculty of Engineering at Lund University . His work focuses on cartilage characterization for osteoarthritis research , utilizing advanced imaging technologies such as neutron tomography and phase-contrast x-ray tomography . Research interests include: Osteoarthritis diagnostics through novel imaging techniques Biomechanics of knee joint tissues Multimodal imaging methods for microstructural analysis Articular cartilage and connective tissue mechanics Recent research output (2024) demonstrates trends in synchrotron imaging , in situ mechanical testing , and microstructural characterization . Collaborations include international partners and Lund University's Engineering Health profile area. Active projects include the PhD Project - Characterization of knee joint tissues via novel neutron and synchrotron imaging techniques , supervised by Professor Hanna Isaksson. Current affiliations involve: Lund University - Faculty of Engineering - Biomedical Engineering Engineering Health profile area Research network spanning medical engineering and connective tissue disciplines

Ben JeurissenView profile

Research Professor

• Medical Image Computing
• Quantitative Magnetic Resonance Imaging
• Diffusion MRI
• +4 more

Prof. Dr. Ben Jeurissen is an Associate Research Professor at the Department of Physics, University of Antwerp , Belgium, specializing in Medical Image Computing , Quantitative MRI , and Diffusion MRI . He received an ERC Consolidator Grant (2023) and FWO Senior Postdoctoral Fellowship (2018–2021) , with a focus on data-driven approaches to study brain microstructure. Education : MSc in Computer Science (2004), Biomedical Imaging (2006), PhD in Science (2012) from University of Antwerp. Research : His work bridges Neuroscience , Medical Imaging , and Computational Methods , particularly in Diffusion MRI and Quantitative MRI for applications in Alzheimer’s disease , spaceflight effects on the brain, and knee imaging . Awards : ERC Consolidator Grant (2023) Australian Museum Eureka Prize Finalist (2024) Multiple Magna/Summa Cum Laude Merit Awards at ISMRM conferences Prize Robert Oppenheimer (2015) Publications span NeuroImage , Human Brain Mapping , Journal of Alzheimer's Disease , and Investigative Radiology , with key contributions to super-resolution MRI , fiber tracking , and brain microstructure analysis . He serves as a contributor to MRtrix and advisor for PhD theses in Computational Anatomy and Medical Imaging .

Federica Marone WelfordView profile

Researcher

• X-ray Tomography
• Seismology
• Tomographic Reconstruction
• +7 more

Federica Marone Welford is a Beamline Scientist at the TOMCAT beamline of the Swiss Light Source (SLS) at the Paul Scherrer Institute (PSI) . She holds an Earth Sciences degree with a focus on seismology and a PhD in seismology from ETH Zurich , following a postdoctoral fellowship at the Berkeley Seismological Laboratory . Her work centers on advancing tomographic reconstruction algorithms, mitigating artifacts, and optimizing computational infrastructure for high-speed X-ray imaging at the TOMCAT beamline. Research Focus: X-ray tomography methodology, data compression, real-time reconstruction systems, and applications in paleontology, earth sciences, additive manufacturing, and energy research. Collaborations: Engages with global researchers and industry partners, particularly in battery/fuel cell analysis and laser powder bed fusion. Teaching: Lectures at ETH Zurich on X-ray imaging techniques. Publications highlight her contributions to X-ray scattering tensor tomography, dynamic process visualization, and computational advancements in imaging systems.

Yunhua LuoView profile

Professor

• Finite Element Method
• Computational Mechanics
• Composite Materials
• +4 more

Dr. Yunhua Luo is a Professor & Associate Head (Graduate Program) in the Department of Mechanical Engineering at the University of Manitoba (Price Faculty of Engineering). His expertise lies in computational mechanics, finite element methods, and biomechanical modeling. He holds a PhD from Stockholm, Sweden (1999), a Licentiate (MSc) from Stockholm (1997), and a B.Eng. from Beijing, China (1985). His research focuses on three core areas: Development of advanced finite element methods for composite materials Multilevel biomechanical modeling of bone strength and hip fracture mechanisms Mechanistic analysis of brain injury and helmet design optimization Over 30 years of academic progression includes roles from Research Associate (2000–2006) to full Professor (2019–present). His recent publications (2022–2025) emphasize voxel-based modeling, osteoporotic fracture risk prediction, and helmet performance evaluation. Current research seeks MSc/PhD students in computational micromechanics.

• Magnetic Resonance Imaging
• Neuroscience
• Diabetes Research
• +3 more

Scott Beeman is an Assistant Professor at the School of Biological and Health Systems Engineering, Arizona State University (ASU). His research focuses on developing magnetic resonance-based methods to study disease mechanisms in diabetes and cancer, with a particular emphasis on glioma brain tumors and type 2 diabetes pathogenesis. He holds a B.S.E. and Ph.D. in Biomedical Engineering from ASU and completed postdoctoral training at Washington University School of Medicine. Education: Ph.D. Biomedical Engineering, Arizona State University, 2012 B.S.E. Bioengineering, Arizona State University, 2007 Postdoctoral Research Associate, Washington University School of Medicine, 2013–2016 Research Interests: Dr. Beeman’s laboratory designs quantitative MRI methods informed by biophysical principles to study health and disease. Current projects include: Characterizing invasive glioma subtypes via diffusion MRI Investigating the pathogenesis of type 2 diabetes and its complications Developing non-invasive techniques to assess adipose tissue oxygenation Publications: His work spans neuroimaging, kidney physiology, and metabolic disorders. Recent studies highlight applications of MRI in brain tumor differentiation, Alzheimer’s risk prediction, and kidney glomerular analysis. Awards: NIH K01 Career Award (2016) Teaching & Grants: He teaches courses like BME 566 (Medical Imaging Instrumentation) and BME 494 (Special Topics). His NIH-funded research includes grants targeting diabetes and glioma imaging. Labs & Teams: Collaborates with the Biomedical Magnetic Resonance Laboratory at Washington University and ASU’s interdisciplinary teams in biomedical engineering and systems biology.

• Cellular & Systems Neuroscience
• Theoretical Neuroscience & Technical Applications
• Biomedical Neuroscience
• +8 more

Ali Ertürk is a Professor at Helmholtz Zentrum München, serving as Director of the Institute for Tissue Engineering and Regenerative Medicine (iTERM). His work bridges cutting-edge technology and biomedical innovation, focusing on tissue clearing, spatial-omics, and AI-driven analysis to map biological systems at unprecedented resolution. His research spans three primary areas: Cellular & Systems Neuroscience Theoretical Neuroscience & Technical Applications Biomedical Neuroscience Keywords include tissue clearing, organoids, and neurodegeneration. Selected publications highlight advancements in vDISCO imaging, SHANEL protocols, and AI applications for cancer and neurodegenerative diseases. Graduated students include Dr. Chenchen Pan and Dr. Ruiyao Cai.

Sorin MitranView profile

Professor

• Computational simulation of multiscale, multiphysics systems
• Data-driven constitutive relations for hyperelastic materials
• Nonlinear mode reduction
• +4 more

Sorin Mitran is a Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill. His research focuses on computational simulation of multiscale and multiphysics systems, data-driven constitutive relations for hyperelastic materials, and information geometry for reduced stochastic models. PhD in Aerospace Engineering from Politehnica University Bucharest (1995) Professional background includes fellowships at University of Tokyo (1993), Karlsruhe Institute of Technology (1998-1999), and University of Washington (1999-2002) His research develops numerical tools to predict macro-scale behavior from micro-scale interactions, such as plastic deformation of metals from lattice defect dynamics, microtubule mechanics from molecular dynamics, and protein folding from atomic-level simulations. Mathematical approaches include adaptive computation, machine learning for constitutive law prediction, and information geometry for stochastic process analysis. Recent publications (2023-2018) span computational biology, multiscale fluid dynamics, and medical applications of continuum mechanics. Articles frequently explore data-driven modeling, wave propagation in biological systems, and GPU-accelerated numerical methods like Lattice Boltzmann and Lattice Fokker-Planck formulations.

Kyle P. QuinnView profile

Professor

• Biomedical Optics
• Wound Healing
• Skin Aging
• +4 more

Kyle P. Quinn is a Professor at the Department of Biomedical Engineering, College of Engineering, University of Arkansas. He leads a multidisciplinary research group developing quantitative biomarkers for non-invasive tissue diagnostics, with a focus on skin wound healing and aging. Education : Postdoctoral Fellow at Tufts University, Ph.D. from University of Pennsylvania, and B.S. from University of Wisconsin-Madison. Research Focus : Integrates biomedical optics, cell biology, biomechanics, and bioinformatics to create label-free diagnostic tools. Specializes in multiphoton microscopy, deep learning algorithms, and collagen microstructure analysis for chronic wound detection and skin aging studies. Article Trends : Recent work emphasizes AI-driven wound analysis, multiscale tissue modeling, metabolic imaging in skin and cancer, and engineering solutions for calcific valve disease. Scientific Awards Solomon R. Pollack Award for Graduate Bioengineering Research NIH Ruth L. Kirschstein Postdoctoral Fellowship NIH Pathway to Independence K99/R00 Award NIH R01 Grant NSF CAREER Award Grants : Externally funded by NIH (R00EB017723, R01AG056560, R01EB031032), Department of Defense (W81XWH-17-1-0194, W81XWH-17-C-0169), NSF (1846853), and Arkansas Biosciences Institute. Lab Information : The Quinn Lab recruits postdoctoral, graduate, and undergraduate researchers in biomedical optics, animal models, and data science. Lab facilities include advanced microscopy and computational tools for tissue analysis.

• Biomedical Engineering
• Computational Biology
• Cardiology
• +3 more

Thierry-Sainclair Njougouo is an Assistant Professor at the IMT School of Advanced Studies Lucca , affiliated with the NETWORKS Research Unit. His work bridges computational modeling with clinical applications in cardiovascular and gastrointestinal systems. Academic Rank: Assistant Professor Institution: IMT School of Advanced Studies Lucca Research Unit: NETWORKS Research Focus: Dr. Njougouo specializes in thermoelectric and electromechanical modeling of biological systems, with particular emphasis on: Cardiac action potential dynamics Intestinal motility mechanisms Temperature-dependent physiological responses Digital twin development for surgical prediction Myocardial microstructural analysis Clinical translation of computational models Publication Trends: Recent work reveals a progression from foundational bioheat models (2022) to advanced applications in surgical prediction (2024) and multi-organ thermoelectric systems (2025). The research demonstrates increasing integration of clinical parameters like body temperature variations and laser tissue soldering effects.