Edward Andò is a Principal Scientist and Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) , with affiliations to the IMAGING group and the College of Engineering (ENAC) . His work bridges software development, experimental geomechanics, and educational initiatives in image analysis. Principal Scientist, IMAGING-GE (EPFL) Lecturer, Sciences et Génie Civil (SGC-ENS) Lecturer, Enseignement à la Défense (EDEE-ENS) Research Interests Andò specializes in 3D image analysis , with a focus on X-ray tomography , digital volume correlation (DVC) , and micromechanical modeling of granular materials. His work addresses geomechanical failure mechanisms, soil dynamics, and open-source software tools like SPAM for practical material analysis. Publication Trends His recent articles (2025–2023) emphasize X-ray tomography for studying granular deformation , rock failure , medical imaging , and soft particle compaction . Topics span geomechanics, computational modeling, and software development for experimental validation. Labs and Teams Andò contributes to the IMAGING group at EPFL, where he co-develops the SPAM (Software for Practical Analysis of Materials) . His teaching includes courses like Fundamentals of Image Analysis and Quantitative Imaging for Engineers , which integrate hands-on training with theoretical frameworks.
Luigi Bruno is an Associate Professor of Machine Design at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. He has held this position since 2014, following 12 years as an Assistant Professor at the same institution and Visiting Professorships at IIT Gandhinagar (2012), University of Alabama at Birmingham (2013-2017), and Free University of Bozen-Bolzano (2021). 1999 : Master's in Mechanical Engineering, University of Calabria (110/110 cum laude) 2003 : PhD in Mechanical Engineering, University of Pisa His research interests span: Experimental Mechanics : Pioneering speckle interferometry for micro-displacement measurement and residual stress analysis. Materials Science : Elastic characterization of anisotropic materials, biomedical applications of soft substrates, and 3D-printed composites. Biomedical Engineering : Mechanical behavior of biological tissues, ocular biomechanics, and dental implant material testing. Recent research trends focus on: Integrating artificial muscles into rehabilitation devices Advancing full-field optical measurement via microCT/DVC Optimizing 3D printed polymer adhesion for industrial components Exploring neuronal biomechanics on soft surfaces Scientific contributions include: CS2007A00010 patent for dual-focus speckle interferometers Deputy Editor of Optics and Lasers in Engineering (2019-present) Guest Editor for special issues on optical methods in experimental mechanics and nanobiotechnology Academic leadership extends to coordinating Mechanical Engineering committees (2021-present), serving on editorial boards, and organizing international conferences like AIAS National Conference (2018). He has secured multiple MIUR research grants and industry collaborations with Alfagomma, 3DNA, and Ferrovie della Calabria. His laboratory, Mechanics of Materials and Structures , supports both research and teaching activities with advanced optical measurement systems and computational tools for mechanical design.
Sophie Rapagna is a Casual Academic and Micro-CT Facility Manager at the College of Science and Engineering, Flinders University . Her research focuses on knee osteoarthritis , microCT imaging , and bone microarchitecture with applications in implant biomechanics and digital volume correlation (DVC) . Active in Flinders Institute for Nanoscale Science and Technology Full Member of the Medical Device Research Institute PhD candidate in biomechanics since 2017 Her publications (17 total) span topics like: Micro-CT-based mechanical analysis of implants Porosity in 3D-printed titanium components Failure mechanisms in dissimilar welds Bone-cartilage interactions in osteoarthritis Time-elapsed imaging of implant degradation High-resolution imaging for biomechanical strain mapping She collaborates with researchers such as Dr. Egon Perilli and Michael Taylor on projects involving digital volume correlation and additive manufacturing .
Dr. Brian Bay is an Associate Professor in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University, where he has been a faculty member since 2000. His research centers on developing and applying image-based metrology techniques to solve complex problems in materials science and biomechanics. Education: Ph.D. in Mechanical Engineering, University of California, Davis (1992) M.S. in Mechanical Engineering/Material Science, University of California, Davis (1987) B.S. in Mechanical Engineering/Material Science, University of California, Davis (1984) Dr. Bay's primary research involves Digital Image Correlation (DIC) and Digital Volume Correlation (DVC) methodologies. His work spans biomaterials, orthopedic biomechanics, lithium batteries, wood products, geomaterials, and advanced manufacturing. Current projects focus on orthopedic clinical problems like osteoarthritis and spinal disc degeneration using synchrotron x-ray tomography, and advancing image correlation for additive manufacturing processes such as Selective Laser Melting (SLM) of metal powders. His research group collaborates with international partners including University College London and Diamond Light Source. Analysis of Dr. Bay's recent publications (2018-2025) reveals a strong emphasis on spinal biomechanics and additive manufacturing. His work consistently integrates synchrotron imaging with correlation techniques to study tissue and material deformation at microstructural levels, with growing applications in metal additive manufacturing quality control. Scientific Awards: Hetényi Award from the Society for Experimental Mechanics (2001) for pioneering Digital Volume Correlation Founders Award from the International Digital Image Correlation Society (2016) Dr. Bay has secured significant funding from the National Institutes of Health, National Science Foundation, Oregon State government, and industry partners. He serves on the Board of Directors of the International Digital Image Correlation Society and maintains active collaborations with UK research institutions. His work bridges fundamental methodology development with practical applications in healthcare and manufacturing. Dr. Bay leads the Next-Generation Materials & Devices research group, utilizing advanced facilities including synchrotron light sources at Diamond Light Source and STFC Rutherford Appleton Laboratory. His lab specializes in in situ mechanical testing combined with high-resolution imaging to study deformation mechanisms in biological tissues and engineered materials.
Dr. Hujin Xie is a Postdoctoral Research Fellow in Cardiovascular Biomechanics and Biomechanical Analysis at Queensland University of Technology (QUT), affiliated with the Cardiovascular Research Group. He holds a Doctor of Philosophy from RMIT University Melbourne. His research focuses on computational biomechanical simulation, medical image analysis, cardiovascular disease risk assessment, and medical digital twins. Dr. Xie’s work integrates advanced methodologies such as the Kalman filter finite element method, dynamic mode decomposition (DMD), and digital volume correlation (DVC) to study soft tissue deformation and cardiovascular pathologies. Key areas include intracranial aneurysm analysis using 4D-CTA, left atrial motion tracking, and optical coherence elastography. He collaborates on interdisciplinary projects involving biomechanical modeling, medical imaging technologies, and real-time tissue deformation analysis. Publications highlight innovations in constrained finite element methods, reduced-order modeling, and applications of Kalman filters for soft tissue simulation and epidemiological prediction (e.g., COVID-19). His research bridges computational modeling with clinical applications, advancing cardiovascular disease understanding and diagnostic tools.
Associate Professor Egon Perilli is a biomedical engineer and imaging scientist based at Flinders University’s Medical Device Research Institute (College of Science and Engineering). He additionally holds an Affiliate Lecturer appointment in Anatomy & Pathology at the University of Adelaide and an Honorary Fellowship in Medicine at the University of Melbourne. His career spans prestigious European institutions—University of Antwerp and Istituti Ortopedici Rizzoli in Bologna—before establishing a prominent research programme in Australia. Education & Training Post-Doctoral Researcher, SkyScan (now Bruker micro-CT) & Visionlab, University of Antwerp, Belgium, 2007–2008 Scientific Researcher, Medical Technology Laboratory, Istituti Ortopedici Rizzoli, Bologna, Italy, 2002–2007 Research Focus Associate Professor Perilli’s work integrates state-of-the-art in vitro and in vivo micro-computed tomography with digital volume correlation and experimental biomechanics to investigate bone structure–function relationships. His primary application areas are osteoporosis and osteoarthritis, where he quantifies micro-architectural deterioration, evaluates implant fixation strategies, and explores 3-D-printed biomaterials. A particular emphasis is placed on translating high-resolution imaging data into predictive models of fracture risk and implant longevity. Recent Publication Trends Between 2019 and 2025, his output reveals an intensified focus on (i) cementless orthopaedic implants and their mechanical environment, (ii) time-elapsed micro-CT to capture failure mechanisms under physiological loads, and (iii) additive-manufactured Ti–6Al–4V components with controlled porosity. These works collectively advance personalised orthopaedics and evidence-based implant design. Awards & Leadership Past President (2018-2021), Australian & New Zealand Orthopaedic Research Society (ANZORS) ANZORS Secretary (2015-2018) Council Member, International Federation of Musculoskeletal Research Societies (IFMRS), since 2018 Supervision & Grants He currently supervises PhD and Honours projects in bone biomechanics, micro-CT instrumentation, and osteoarthritis. His mentees have garnered major accolades, including ANZORS PhD Oral Presentation Awards, Best Student Publication Awards, Commonwealth Scholarships, and international travel bursaries from ESB and WCB. He reviews for ARC, NHMRC, Wellcome Trust, and leading orthopaedic journals, indicating sustained grant and editorial engagement. Laboratory & Collaborations His team operates within the Flinders Medical Device Research Institute, leveraging micro-CT systems, mechanical testing rigs, and custom software for digital volume correlation. Active collaborations span national synchrotron facilities and international partners in Belgium, Italy, and the United States, fostering a multidisciplinary environment that bridges engineering, medicine, and materials science.
Professor Enrico Dall'Ara is a leading figure in musculoskeletal biomechanics at the University of Sheffield , where he holds the Professorship of Musculoskeletal Biomechanics since 2024. He directs the Skelet.Al Laboratories , serves as Research Director for Insigneo's Computational Modelling in Medicine theme, and leads the Non-Clinical Task Force in the Avicenna Alliance. Education: PhD in Biomechanics (Vienna), MSc Mechanical Engineering (Bologna) Current Roles: President of European Society of Biomechanics, Deputy Head of IMSB Research Group Research Focus: Subject-specific computational models for bone strength prediction, fracture risk assessment, and mechanobiological studies in preclinical/clinical settings. Key applications include osteoporosis , osteoarthritis , and vertebral metastases , integrating imaging , experimental , and computational methods . Recent Article Trends: His computational work spans finite element modeling , digital volume correlation , machine learning in segmentation , and multi-scale adaptation studies , validated through microCT , synchrotron tomography , and MR imaging across mouse models and human specimens . Scientific Awards & Leadership: President, European Society of Biomechanics (2024) Director, Skelet.Al Laboratories (2020) Research Director, Insigneo (2021) Council Member, Avicenna Alliance (2023) Editorial roles in Journal of Mechanical Behaviour and Frontiers in Bioengineering Advising & Grants: Mentors 14+ PhD students across international institutions. Secured £2.6M+ in grants including EPSRC Virtual Human Twin (£1.74M), Horizon Europe METASTRA (£773k), and EUROSTARS projects. Collaborates with EPSRC, Horizon2020, and AO Spine.
Dr John Holmes is a Senior Engineer at New Frontier Technologies and a Visiting Researcher at the Australian National University's Research School of Physics. He completed his PhD at the ANU School of Engineering from 2019 to 2022, where he developed specialized expertise in testing, characterizing, and simulating composite materials. Roles: Senior Engineer, Visiting Researcher Key Research Areas: Composite materials, DIC/DVC, Mechanical testing, FEA His work focuses on multi-scale simulation (micro-, meso-, and macro-scale) and the creation of digital material twins, advancing capabilities in computational modeling and novel testing techniques.
Dr. Ulrich Hansen is a Reader in Medical Engineering at the Department of Mechanical Engineering, Imperial College London, within the Faculty of Engineering. He holds a Dipl.Ing. in Solid Mechanics from the Technical University of Denmark and a PhD in Mechanical Engineering from the University of Delaware. His research focuses on bone mechanics, implant performance, shoulder biomechanics, and cartilage properties, with affiliations to the Shoulder Research Group, Bone Health Research Group, and Institute for Molecular Science and Engineering. His work addresses four core areas: bone fracture mechanisms, implant loosening dynamics, shoulder arthroplasty optimization, and cartilage degeneration in arthritis. Key methodologies include computational modeling, in vitro testing, and advanced imaging (e.g., MRI, DVC). He has published over 80 peer-reviewed articles, with recent studies exploring traffic-derived metal impacts on bone health, nanoscale bone mechanics in aging, and implant wear analysis. Dr. Hansen’s articles frequently investigate biomechanical failure mechanisms in musculoskeletal systems, emphasizing translational research for clinical applications. His work contributes to improving implant longevity, fracture prevention strategies, and surgical planning for joint replacements. Current trends include integrating advanced materials science with clinical outcomes to address aging-related bone pathologies. He leads the Medical Engineering Group and collaborates with interdisciplinary teams in biomechanics, materials science, and clinical orthopedics. His research has implications for public health through better understanding of osteoporosis drivers and bone-implant interactions.
Professor Ian Sinclair is a leading academic at the University of Southampton, affiliated with the College of Engineering, Physical Sciences and Southampton Imaging. As Professor of Engineering Materials, he specializes in advanced imaging techniques and computational modeling for material analysis. National Crystallography Service (NCS) Physical Sciences Data-science Service (PSDS) Engineering Materials and Surface Engineering Group Computational Systems Chemistry His research focuses on multiscale material characterization using X-ray computed tomography (XCT), digital volume correlation (DVC), and synchrotron imaging. Key projects include the EPSRC-funded "Multiscale and In Situ Laboratory X-Ray Computed Tomography National Research Facility" and collaborations with industry partners like Mitsubishi Electric and Luxfer Gas Cylinders. Recent publications highlight his work on composite materials, damage mechanisms, and biomedical imaging. His lab-based in situ XCT oven development (2024) and studies on particle-filled composites (2020) demonstrate technical innovation. Interdisciplinary collaborations extend to skeletal regenerative medicine through the Engineering Materials group. Professor Sinclair's grants include funding from EPSRC, Wellcome Trust, and European Union initiatives. He collaborates extensively with researchers like Professor Mark Spearing, Professor Simon Cox, and Dr. Mark Mavrogordato, advancing applications in aerospace, biomedical, and civil engineering domains.
Fredrik Forsberg is a Lecturer at Luleå University of Technology, working within the Department of Fluid Mechanics and Experimental Mechanics under the Faculty of Engineering Sciences and Mathematics. His office is located in Luleå at room E820, and he can be reached at 0920-493085 or fredrik.forsberg@ltu.se. Dr. Forsberg completed his doctoral studies in December 2008 with a thesis titled X-ray Microtomography and Digital Volume Correlation for Internal Deformation and Strain Analysis . His educational background focuses on advanced imaging and measurement techniques for material analysis. Forsberg's research centers on developing methods for detecting and determining 3D structural deformations and strains in non-homogeneous materials. His work combines three-dimensional pattern recognition with X-ray microtomography (µCT), covering both the development of robust microtomography systems for 3D imaging and Digital Volume Correlation (DVC) techniques. His expertise spans 3D imaging methods (microtomography, image quality aspects, image artifact correction) and image correlation techniques (2D and 3D). This interdisciplinary approach bridges experimental mechanics with advanced imaging technology for material characterization. His recent publications (2025) demonstrate a diverse research portfolio spanning materials science, environmental engineering, and sustainable composites. These works show his ability to apply experimental mechanics techniques across different domains, from metallurgy and casting processes to environmental filtration systems and bio-based materials. The consistent theme across his publications is the application of precise measurement and analysis techniques to understand material behavior under various conditions. Forsberg actively collaborates with researchers across multiple institutions, as evidenced by his co-authorship on diverse projects involving industrial partners like Swerim AB and Quintus Technologies AB. His work often addresses practical engineering challenges with methodological rigor, combining theoretical understanding with experimental validation. His laboratory work appears to focus on advanced imaging and material testing facilities capable of conducting microtomography and deformation analysis. The nature of his publications suggests access to specialized equipment for materials testing, imaging, and characterization, particularly for analyzing structural deformations and material properties at various scales.
Nikolas Knowles is an Assistant Professor at the University of Waterloo, specializing in biomechanics with a focus on orthopedic applications. His work integrates advanced imaging techniques (e.g., CT, HR-pQCT) with computational modeling to study bone mechanics, osteoarthritis progression, and surgical outcomes. Key research areas include finite element analysis of bone structures, material-property relationships in trabecular bone, and the biomechanical impacts of musculoskeletal injuries and treatments. His research emphasizes the development of validated computational models (e.g., QCT-based FE models) to predict bone stiffness and failure patterns, particularly in joints like the shoulder and knee. He investigates how imaging modalities can improve clinical understanding of bone degradation (e.g., subchondral cyst formation, bone mineral density changes) and guide surgical interventions such as shoulder arthroplasty or ACL reconstruction. Recent work addresses the limitations of conventional imaging in capturing post-injury bone marrow changes, advocating for dual-energy CT and high-resolution techniques. Dr. Knowles collaborates on interdisciplinary projects involving biomechanical testing, digital volume correlation (DVC), and multi-platform computing to handle large-scale simulations. His studies often combine experimental validation with computational methods to enhance the accuracy of bone modeling for clinical applications. While no formal student advisement records are listed, his publications reflect collaborations across engineering, orthopedics, and imaging sciences. Awards remain unspecified in the provided materials.
