Bio

I received my Master of Engineering 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. In 2018, I was invited researcher at TU Berlin (Germany), University of Trento (Italy) and Imperial College London (UK).

Since 2019, I am Assistant professor (Maître de Conférences) 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) workshop at ECML/PKDD and the MACLEAN action of GdR MADICS. I am Guest Editor of MDPI Remote Sensing and Springer Machine Learning.

Contact:

Offices: UBS-IRISA: C104, Bât. ENSIBS, Campus de Tohannic, rue Yves Mainguy - 56000 VANNES, FRANCE

IUT Vannes - Dpt INFO: B147, 8 rue Michel de Montaigne - 56000 VANNES, FRANCE

Phone: (+33) 297017298, (+33) 297626434 Email: minh-tan.pham[at]irisa.fr, minh-tan.pham[at]univ-ubs.fr

Supervision:

• Anthony Frion (Msc student, 2021)

• Paul Berg (Msc student, 2021)

• Hoang-An Le (Postdoc, 2020 - )

• Deise Santana Maia (Postdoc, 2019 - )

• Manal Hamzaoui (PhD student, 2019 - )

• Alexandre Chojnacki (Msc student, 2019, now Engineer DGA)

Research projects:

• OTTOPIA (2021-2024)

• OWFSOMM (2020-2023)

• SEMMACAPE (2019-2022)

• ANR MULTISCALE (2019-2022)

• ANR DEEPDETECT (2018-2020)

• R&T CNES CARS (2018-2019)

• DELORA (2016-2018)

News:

• 04/2021: We organise the 3rd edition of MACLEAN (Machine learning for earth observation) in conjunction with the ECML/PKDD 2021. More info : https://sites.google.com/view/maclean21/ (submission : 23/6/2021)

• 02/2021: One paper accepted to DGMM (IAPR Int. Conf. on Discrete Geometry and Mathematical Morphology)

• 12/2020: Our paper "Classification of remote sensing data with morphological attributes profiles: a decade of advances" has been accepted for publication in Geosciences and Remote Sensing Magazines (IF=13).

• We propose 2 topics of Master Internship on Spring 2021. One about unsupervised/weakly-supervised object detection and one about graph-based representation learning. More information: https://www-obelix.irisa.fr/job-offers/ (filled)

• 09/2020: Our paper "Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks" has been accepted for publication in Remote Sensing (IF=4.509). Link to the paper: https://www.mdpi.com/2072-4292/12/19/3152

• 08/2020: Our paper "YOLO-fine: one-stage detector of small objects under various backgrounds in remote sensing images" has been accepted for publication in Remote Sensing (IF=4.509). Link to the paper: https://www.mdpi.com/2072-4292/12/15/2501

• 07/2020: We organize an online session on "Machine learning for times series" in the context of the 2nd Symposium of GDR MADICS. Check out the program at: https://project.inria.fr/maclean/maclean-symposium2020/

• 04/2020: 3 papers accepted at IGARSS 2020 (2 oral + 1 poster), 2 papers accepted at XXIVth ISPRS Congress 2020 and 1 paper accepted at RFIAP 2020 (oral)

• 04/2020: We organise the 2nd edition of MACLEAN (Machine learning for earth observation) in conjunction with the ECML/PKDD 2020. More info : https://sites.google.com/view/maclean2020/ (submission : 9/7/2020)

• 03/2020: Deadline of our special issue of "Feature-based methods for remote sensing image classification" in Remote Sensing (IF=4.118) has been extended to 31/12/2020. Link: https://www.mdpi.com/journal/remotesensing/special_issues/feature_based

• 01/2020: Our paper "VHR Airborne Polarimetric SAR image classification using convolutional neural networks" has been accepted at EUSAR 2020, Leipzig, Germany. (P/s: the conference has been postponed to March 2021)

• 12/2019: Our special issue in "Machine Learning for earth observation" has been announced in the Machine Learning journal. Dead line for submissions: 15/05/2020. 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 for publication in IEEE GRSL (IF=3.833). Link to the paper: https://ieeexplore.ieee.org/abstract/document/8954886

• 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