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Marcos Gómez-Bracamonte

Sensing and Perception Student Researcher @ Ericsson and MSc EECS Student @ KTH

My name is Marcos Gómez Bracamonte (aka Marcos Gómez-Bracamonte) and I am a MSc Systems, Control and Robotics student at KTH Royal Institute of Technology. Currently working at Ericsson Research, where I am conducting research on event-transformer architectures for real-time feature extraction and matching in computer vision localisation systems.

My current research focuses on interoperable real-time visual localisation based on geometry-only vision transformers for feature matching and pose estimation. This includes work on robot indoor and outdoor localisation, pose estimation, and scene recognition via feature matching with graph neural networks, scattered attention mechanisms and variational autoencoders.

Past Experience: Previously, I worked as a Research Intern at the Radar and Microwave Group of the Dept. of Signals, Systems and Radiocommunications (SSR) at UPM, focusing on ML-enhanced Radar Digital Signal Processing and Communication, particularly on detecting Parkinson's Disease through gait analysis with real-time radar sensing networks.

I received my bachelor's degree in Telecommunications Engineering (spec. Electrical Engineering and Computer Science) with Honours, at the Polytechnic University of Madrid in 2022.

  1. News
  2. Publications
  3. Projects
  4. Google Scholar
  5. GitHub
  6. LinkedIn

News

2023-10-26 Publication of research paper Portable Low-Cost Millimeter-Wave Radar Node for Short-Range Applications as part of the Proceedings of the 20th European Radar Conference, EuRAD 2023.
2023-06-22 Publication of research paper mm-Wave Wireless Radar Network for Early Detection of Parkinsons Disease by Gait Analysis as part of the Proceedings of the IEEE Radar Conference 2023.
2023-04-04 Published a blog post about using optimizations from embedded compilers to optimise runtime (in Spanish)
2023-02-02 Published a blog post about functional programming languages and their applications to signal and data processing (in Spanish)
2023-01-30 Received the Polytechnic University of Madrid Dean's Mention, awarded to the top 5% students from every bachelor's degree at the finalisation of their studies
2022-10-17 Invited talk at Google Summer of Code Mentor's Summit 2022 in Bruxelles, Belgium
2022-10-06 Invited talk at IEEE Day 2022 in Madrid, Spain
2020-02-26 Invited talk at TEDxChamberí in Madrid, Spain

Publications

BEng thesis

Design and characterisation of a continuous-wave linear frequency-modulated radar at 24 GHz for real-time applications
Gómez-Bracamonte, Marcos
Universidad Politécnica de Madrid

Conferences and journal articles

2023

Portable Low-Cost Millimeter-Wave Radar Node for Short-Range Applications
Sardinero-Meirás, I.; Antolinos, E.; López-Delgado, I. E.; Gómez-Bracamonte, M.; Fernández-Martínez, J.; Perez-Eijo, L.; Arias, M.; Gonzalez-Valdes, B.; Grajal, J.
Proceedings of the 20th European Radar Conference, EuRAD 2023
mm-Wave Wireless Radar Network for Early Detection of Parkinsons Disease by Gait Analysis
López-Delgado, I. E.; Antolinos, E.; Sardinero-Meirás, I.; Gómez-Bracamonte, M.; Arias-Londoño, J. D.; Luque-Buzo, E.; Grandas, F.; Godino-Llorente, J. I.; Grajal, J.
Proceedings of the IEEE Radar Conference 2023 (RadarConf23)
Gait analysis with a wireless radar network for early detection of Parkinson's Disease
López-Delgado, I. E.; Antolinos, E.; Sardinero-Meirás, I.; Gómez-Bracamonte, M.; Calatrava-Moreno, A.; Arias-Londoño, J. D.; Luque-Buzo, E.; Grandas, F.; Godino-Llorente, J. I.; Grajal, J.
XXXVIII Simposio Nacional de la Unión Científica Internacional de Radio (URSI 2023)
Compact Low-Cost Millimeter-Wave Radar Sensor for Short-Range Applications
Sardinero-Meirás, I.; Antolinos, E.; López-Delgado, I. E.; Gómez-Bracamonte, M.; Fernández-Martínez, J.; Perez-Eijo, L.; Arias, M.; Gonzalez-Valdes, B.; Grajal, J.
XXXVIII Simposio Nacional de la Unión Científica Internacional de Radio (URSI 2023)

Projects

Zenith
Bluetooth Low Energy CW-LFM radar real-time processing firmware
svm-wheat-seed-classifier
Support Vector Classification of wheat seed types based on SVM and RF for feature importance
RoomPi
RPi-based Smart Environmental Monitoring System for indoor areas with wireless connectivity and control

Contact

Marcos is reachable at the e-mail address marcos.gomez(arroba)ieee.org
· Substitute (arroba) with the @ character