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I am a Ph.D. student specializing in Artificial Intelligence for underwater robotics within the European REMARO consortium (https://remaro.eu/). My primary goal is to integrate Artificial Intelligence into autonomous underwater vehicles (AUVs) to enhance their sonar-based vision and guidance capabilities while ensuring the vehicle's safety and surrounding environment.
Identification

Personal identification

Full name
Martin Aubard

Citation names

  • Aubard, Martin

Author identifiers

Ciência ID
3C19-38BD-9130
ORCID iD
0009-0000-3070-8067

Email addresses

  • maubard@oceanscan-mst.com (Professional)

Languages

Language Speaking Reading Writing Listening Peer-review
French (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Portuguese Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2)
Spanish; Castilian Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2021/09 - 2024
Ongoing
 Programa Doutoral em Engenharia Informática (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
"Onboard Detection and Guidance based on Side Scan Sonar Images for Autonomous Underwater Vehicles" (THESIS/DISSERTATION)
2019/08 - 2020/12
Concluded
 Control and Industrial Computing (Exchange semester) (Mestrado)
OsloMet - storbyuniversitetet Institutt for atferdsvitenskap, Norway
2017/09 - 2020
Concluded
 Control and Industrial Computing (Mestrado)
Université de Technologie de Troyes, France
2017/01 - 2017/05
Concluded
 Electrical Engineering and Industrial Computing (Exchange Semester) (Bachelor)
Université du Québec à Chicoutimi, Canada
2015 - 2017
Concluded
 Electrical Engineering and Industrial Computing (Bachelor)
Département de l'Indre, France
Projects

Grant

Designation Funders
2021 - 2024 Reliable AI for Marine Robotics
956200
PhD Student Fellow
Ongoing
2020/02 - 2020/07 MeaTable
281234
Master Student Fellow
SINTEF Oslo, Norway
2019/08 - 2019/12 OASYS
284477
Master Student Fellow
OsloMet - storbyuniversitetet Fakultet for teknologi kunst og design, Norway
Outputs

Publications

Book chapter
  1. Antal, László; Aubard, Martin; Ábrahám, Erika; Madureira, Ana; Madureira, Luís; Costa, Maria; Pinto, José; Campos, Renato. "A Collision Avoidance Method for Autonomous Underwater Vehicles Based on Long Short-Term Memories". In Innovations in Bio-Inspired Computing and Applications, 448-457. Springer Nature Switzerland, 2023.
    10.1007/978-3-031-27499-2_42
Conference paper
  1. Álvarez-Tuñón, Olaya; Ribeiro Marnet, Luiza; Antal, László; Aubard, Matin; Costa, Maria; Brodskiy, Yury. "SubPipe: A Submarine Pipeline Inspection Dataset for Segmentation and Visual-inertial Localization". Paper presented in Oceans 2024, Singapore, 2024.
  2. Aubard, Martin; Quijano, Sergio; Álvarez-Tuñón, Olaya; Antal, László; Costa, Maria; Brodskiy, Yury. "Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees". Paper presented in Oceans 2024, 2024.
  3. Aubard, Martin; Madureira, Ana; Madureira, Luis; Campos, Renato; Costa, Maria; Pinto, José; Sousa, João. "LSTS Toolchain Framework for Deep Learning Implementation into Autonomous Underwater Vehicle". 2023.
    10.1109/OCEANSLimerick52467.2023.10244721
  4. Aubard, Martin; Madureira, Ana; Madureira, Luis; Pinto, José. "Real-Time Automatic Wall Detection and Localization based on Side Scan Sonar Images". 2022.
    10.1109/AUV53081.2022.9965813
Activities

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2023/09 - 2023/09 AI in marine exploration, computer vision, formal verification, digital twins, and deep ocean exploration. REMARO Fall School Porto 2023
2023/06 - 2023/06 Active learning, search-based testing, and the development of self-adaptive systems. REMARO Summer School Oslo 2023
2022/09 - 2022/09 SMT, Automated verification and synthesis of probabilistic models REMARO Fall School at RWTH Aachen University 2022
2022/08 - 2022/08 Attended the summer school IDESSAI 2022, track A: Trusted AI. This summer school has been organized by INRIA and DFKI and took place in Saarbrücken IDESSAI 2022
2022/06 - 2022/06 Control, System, and Software Architecture for Autonomous Underwater Robots REMARO Summer School Delft 2022