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Filipa M Ramos. Concluded the Integrated Master's Degree in Informatics and Computing Engineering in 2018, granted by the University of Porto - Faculty of Engineering. Published 1 book chapter. Currently a Deep Learning Research Engineer at Bosch Car Multimedia, S.A. and an Invited Assistant at the University of Porto - Faculty of Engineering. PhD candidate of the Doctoral Program in Informatics Engineering, set to start the investigation project in Januray of 2021. Areas of interest include Computer Science, focused on Deep Learning and Computer Vision applied to the field of Autonomous Driving.
Identification

Personal identification

Full name
Filipa M Ramos

Citation names

  • Ramos, Filipa
  • Filipa M. Ramos

Author identifiers

Ciência ID
851B-85E0-04E9
ORCID iD
0000-0003-4873-8488

Email addresses

  • filiparamos@fe.up.pt (Professional)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Robotics and Automatic Control

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Education
Degree Classification
2020/09/01 - 2024/07/01
Ongoing
 Doctoral Program in Informatics Engineering (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2018
Concluded
 Informatics and Computing Engineering (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
"Advanced processing and object detection techniques for assisted and autonomous driving systems" (THESIS/DISSERTATION)
 16 valores
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2020/09/01 - 2022/08/31 Invited Assistant (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal

Others

Category
Host institution 		Employer
2018/02/05 - Current Research Engineer - Deep Learning/Computer Vision Bosch Car Multimedia, S.A., Portugal
Projects

Contract

Designation Funders
2018/09/01 - 2021/07/15 Sensible Car: Automated Driving
POCI-01-0247-FEDER-037902
Researcher
Bosch Car Multimedia, S.A., Portugal

Universidade do Minho, Portugal
Ongoing

Other

Designation Funders
2021/08/01 - Current THEIA – Automated Perception Driving
THEIA
Research Fellow
Bosch Car Multimedia, S.A., Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Autoridade de Gestão do Programa Operacional Competitividade e Internacionalização
Ongoing
Outputs

Publications

Book chapter
  1. Filipa Ramos; Alexandre Correia; Rosaldo J. F. Rossetti. "Assessing the YOLO Series Through Empirical Analysis on the KITTI Dataset for Autonomous Driving". 203-218. Springer International Publishing, 2020.
    10.1007/978-3-030-38822-5_14
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2019/09/05 - 2020/07/01 Learning Self-Supervised Deep Feature Descriptors for SLAM in Autonomous Vehicles
Co-supervisor
 Informatics and Computing Engineering (Master)
Bosch Car Multimedia, S.A., Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
2018/09/05 - 2019/07/01 Fast and accurate object tracker for autonomous driving scenarios
Co-supervisor
 Informatics and Computing Engineering (Master)
Bosch Car Multimedia, S.A., Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Distinctions

Award

2020 Best Paper at the 3rd EAI International Conference on Intelligent Transport Systems