Minh Tri Lê

Short biography

I am currently a first-year industrial (CIFRE) Ph.D. student in deep learning at TDK InvenSense and the INRIA Grenoble Rhône-Alpes in the Statify research team.
I graduated in Computer Science & Engineering specialized in Data Mining at the Université de Technologie de Compiègne, France (UTC). In parallel of the last year of engineering, I also obtained the Double European Master degree EMECIS in Machine Learning & Optimization between the UTC and the Scuola Politecnica di Genova, Italy, to specialize in research.
My research focuses on bringing the power of neural networks to very constrained micro-embedded systems #TinyML. My research interests include general deep learning, neural network model compression, tinyML, edge inference, autoML…

Thesis subject

Constrained signal processing using deep learning for MEMs sensors based applications.
Under the direction of Etienne De Foras & Julyan Arbel.