Astrid Cantamessa
Biography
Astrid is a PhD student in Engineering Science and Technology at the University of Liège. She started her PhD in October 2020 after graduating from her Master Degree in Biomedical Engineering. Her master thesis was about the development and validation of a new workflow to quantitatively assess joint function following knee replacement surgery using only two ankle-worn IMUs. To this end, a machine learning algorithm has been implemented to predict knee flexion time series kinematics during walking gait. She did her thesis at the Auckland Bioengineering Institute in New-Zealand and she received the price of best Master thesis from the “Association des Ingénieurs de Liège” for her work.
In October 2020, she received a FRIA grant and is now working on the biological and biomechanical characterization of the cement lines in human osteonal bones. Discover more about her project here.
She has been the communication manager for the ReD (Réseau des Doctorant·es), an association aiming at gathering and representing PhD students from the University of Liège. She is now member of the Doctorate Board, the executive body of the University Council for Doctoral Training and the PhD students, discussing regularly issues related to the PhD at the University. She is also member of an assocation of students aiming at growing vegetables and raising awarness on ecological and nutritionnal issues (Pot'Ingé).
Skills
- Computational and computer skills: Matlab, Ansys (SpaceClaim, Mechanical), Image Analysis softwares (ImageJ Fiji, CTAn), OpenSim, Nexus Vicon, ObjetStudio
- Experimental skills: Sample preparation and processing (cutting, dehydration, embedding, and grinding-polishing), usage of a nanoindenter (TI 950 TriboIndenter, Bruker) for modulus mapping and static indents, data collection in the gait-based laboratory (usage of camera motion capture system and force plates, markers placement, usage of IMU Vicon Blue Trident with the application Capture.U), usage and maintenance of an Object260 Connex2 3D printer from Stratasys
Scientific interests
- Biomechanics, musculoskeletal system, architectured materials, movement analysis, medical imaging, 3D printing and FE modelling.
Publications
📃 SM. Bolam, B. Batinica, T. Yeung, S. Weaver, A. Cantamessa, TC. Vanderboor, S. Yeung, JT. Munro, JW. Fernandez, TF. Besier, AP. Monk, Remote Patient Monitoring with Wearable Sensors Following Knee Arthroplasty. Sensors 2021; 21(15):5143. [PDF]
📃 AJ. Lew, CA. Stifler, A. Tits, CA. Schmidt, A. Scholl, A. Cantamessa, L. Müller, Y. Delaunois, P. Compère, D. Ruffoni, MJ. Buehler, & PUPA. Gilbert, A Molecular Scale Understanding of Misorientation Toughening in Corals and Seashells. Advanced Materials 2023. 35:2300373. [PDF]
📃 AJ. Lew, CA. Stifler, A. Cantamessa, A. Tits, D. Ruffoni, PUPA. Gilbert, MJ. Buehler, Deep Learning Virtual Indenter Maps Nanoscale Hardness Rapidly and Non-destructively, Revealing Mechanism and Enhancing Bioinspired Design. Matter 2023; 6(6):1975-1991. [PDF]
📃 T. Yeung, A. Cantamessa, AW. Kempa-Liehr, TF. Besier, J. Choisne, Personalized machine learning approach to estimating knee kinematics using only shank mounted IMU. IEEE Sensors Journal 2023; 23(11):12380-12387. [PDF]
📃 MC. Saldívar, S. Salehi, RPE. Veeger, M. Fenu, A. Cantamessa, M. Klimopoulou, G. Talò, M. Moretti, S. Lopa, D. Ruffoni, GJVM. Van Osch, LE. Fratila-Apachitei, EL. Doubrovski, MJ. Mirzaali, AA. Zadpoor , Rational positioning of 3D printed micro-bricks to realize high-fidelity, multi-functional soft-hard interfaces. Cell Reports Physical Science 2023.
Contact
📧 astrid.cantamessa[at]uliege.be
📞 04366.94.37
📍 Building B52/3, Room 2/550
Quartier Polytech 1
Allée de la Découverte 9
B-4000 Liège, Belgium
