Mohamed Belkaid holds a BSc in Applied Mathematics from the Faculty of Science and Technology Settat and an MSc in Data Science and Big Data from ENSIAS Rabat, both in Morocco. His master thesis focused on Graph Neural Networks and their applications in the healthcare sector. With a strong professional background as both a data scientist and high school mathematics teacher, Mohamed brings a unique combination of theoretical knowledge and practical experience to his work. His research within the MetacMed project at UNICAL, Italy, focuses on leveraging artificial intelligence techniques to discover and optimize novel acoustic and mechanical metamaterials designs and properties for biomedical applications.
Project objectives
- Create an extended database of ultrasonic MMs/PCs via FEM simulation simulating a range of different mechanical properties, which include random geometrical arrangement in 2D and 3D
- Use AI (ML-DL) techniques to boost the discovery of novel structures and optimised them, and benchmark against the current state-of-the-art
- Verify the suitability of the top-performing AI algorithms
- Understand the potential of MM for fine-tuning spinal auxhetic MM devices’ properties
Supervision and secondments
Hosted at
Università della Calabria (UNICAL), Cosenza, Italy
Supervisors
Dr. Stefano Laureti
Prof. Andrea Tagarelli
PhD enrolment
PhD in Information and Communication Technologies (ICT), UNICAL, DIMES. Dept.
Secondments
CNRS, Univ. of Messina, OrthoSens (CH)