Minh-Tan Pham
Assistant Professor (MCF)
Université Bretagne Sud, IUT de Vannes
Researcher at IRISA/team OBELIX
Bio
I received my M. Eng and PhD degrees from Telecom Bretagne, Brest, France in 2013 and 2016. I was intern at the Dpt. Geomatics, Laval University, Canada in 2013. From 2016 to 2019, I was post-doctoral fellow at IRISA laboratory, Université Bretagne Sud & Université Rennes 1, France.
Since 2019, I am Assistant professor at Université Bretagne Sud, IUT de Vannes, France. I am also researcher at IRISA lab (OBELIX team). My research focuses on image processing and machine learning applied to remote sensing data.
Since 2019, I am co-chair of the MACLEAN (Machine learning for earth observation) action of GdR MADICS.
Contact:
Offices:
UBS-IRISA: C104, Bât. ENSIBS, Campus de Tohannic, rue Yves Mainguy - 56000 VANNES, FRANCEPhone: (+33) 297017298IUT Vannes - Dpt INFO: B147, 8 rue Michel de Montaigne - 56000 VANNES, FRANCE
(+33) 297626434
Email: minh-tan.pham[at]irisa.fr, minh-tan.pham[at]univ-ubs.fr
Students:
- Deise Santana Maia (Postdoc, 2019-2021)
- Manal Hamzaoui (PhD student, 2019-2022)
- Alexandre Chojnacki (Msc student, 2019, now Engineer DGA)
Research projects:
- SEMMACAPE (2019-2022)
- ANR MULTISCALE (2019-2022)
- ANR DEEPDETECT (2018-2020)
- R&T CNES CARS (2018-2019)
- DELORA (2016-2018)
News:
- 12/2019: Our special issue in "Machine Learning for earth observation" has been announced in the Machine Learning journal. Dead line for submissions: 01/04/2020. Link: https://www.springer.com/journal/10994/updates/17467992
- 12/2019: Journée des Jeunes Chercheurs en MACLEAN est organisée à Paris le 2/12. Check out the program at: JC Maclean 2019
- 11/2019: Our paper "Semantic segmentation of LiDAR point clouds: Rasterization beyond Digital Elevation Models" has been accepted to publish in IEEE GRSL.
- 09/2019: Check out the program of MACLEAN (Machine learning for Earth observation) workshop held at ECML/PKDD in Wurburg: https://mdl4eo.irstea.fr/maclean-machine-learning-for-earth-observation/
- 06/2019: Atelier MACLEAN (Apprentissage automatique et Observation de la Terre) aura lieu le 27/6 à Rennes, dans le cadre du 1er Symposium du Gdr Madics. Lien vers le programme de la journée: http://www.madics.fr/event/titre1551974198-3309/?instance_id=1126#MACLEAN
- 04/2019: We organise the workshop MACLEAN (Machine learning for earth observation) in conjunction with the ECML/PKDD 2019. Submission deadline: 17/06/2019. More info: https://mdl4eo.irstea.fr/maclean-machine-learning-for-earth-observation/
- 03/2019: Our special issue in "Feature-based methods for remote sensing image classification" has been announced in the Remote Sensing (IF=4.118). Deadline for submission: 31/03/2020. Link: https://www.mdpi.com/journal/remotesensing/special_issues/feature_based