Matthieu Puigt is Full Professor with the Université du Littoral Côte d'Opale (ULCO) since September 2024. He leads the LoRAL (Low-Rank Approximation and Learning) team of the Laboratoire d'Informatique, Signal et Image de la Côte d'Opale (LISIC), ULCO, while he is teaching in the University Institute of Technology (French "IUT") of Littoral Côte d'Opale, in the Industrial Engineering and Maintenance Department.

He received both the Bachelor and first year of M.S. degrees (French "Licence" and "Maîtrise"), in Pure and Applied Mathematics, in 2001 and 2002 respectively, from the Université de Perpignan, France. He then received the M.S. degree (French "DEA"), in Signal, Image Processing, and Acoustics, from the Université Paul Sabatier Toulouse 3, Toulouse, France, in 2003, and his Ph.D. in Signal Processing from the Université de Toulouse in 2007.

From 2007 to 2009 he was a Postdoctoral Lecturer (French "Attaché Temporaire d'Enseignement et de Recherche") at the Université Paul Sabatier Toulouse 3 and the Laboratoire d'Astrophysique de Toulouse-Tarbes. From September 2009 to June 2010, he held an Assistant Professor position in the University for Information Science and Technology, in Ohrid, Republic of Macedonia (FYROM). From August 2010 to July 2012, he was a Marie Curie postdoctoral fellow in the Signal Processing Lab of the Institute of Computer Science of the Foundation for Research and Technology – Hellas (FORTH-ICS). From September 2012 to August 2024, he was Associate Professor at ULCO.

Matthieu Puigt's current research interests include linear and nonlinear signal processing, with an emphasis on (locally) low-rank approximation, especially sparse and non-negative latent variable analysis methods, and their applications to acoustics, hyperspectral imaging, and pollution monitoring.

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