About Me
Currently a PhD candidate and researcher at the University of Twente
My research is about how to implement Deep Learning into the Radar domain.
Expertise
Engineering & Materials Science
# Bicycles
# Direction Of Arrival
# Fusion Reactions
# Maximum Likelihood Estimation
# Mimo Radar
# Neural Networks
# Noise Abatement
# Radar
Research
Researcher and PhD student at University of Twente.
Topics: Radar, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Direction of Arrival.
Topics: Radar, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Direction of Arrival.
Publications
Recent
Lima de Oliveira, M. L.
, & Bekooij, M. J. G. (2022).
ResNet Applied for a Single-Snapshot DOA Estimation. In
2022 IEEE Radar Conference (RadarConf22)
https://doi.org/10.1109/RadarConf2248738.2022.9763905
Lima de Oliveira, M. L.
, & Bekooij, M. J. G. (2022).
Deep-MLE: Fusion between a Neural Network and MLE for a Single Snapshot DOA Estimation. In
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3673-3677)
https://doi.org/10.1109/ICASSP43922.2022.9747692
Lima de Oliveira, M. L.
, & Bekooij, M. J. G. (2020).
Generating Synthetic Short-Range FMCW Range-Doppler Maps Using Generative Adversarial Networks and Deep Convolutional Autoencoders. In
2020 IEEE Radar Conference (RadarConf20) [9266348] IEEE.
https://doi.org/10.1109/RadarConf2043947.2020.9266348
Lima de Oliveira, M. L.
, & Bekooij, M. J. G. (2020).
Deep Convolutional Autoencoder Applied for Noise Reduction in Range-Doppler Maps of FMCW Radars. In
2020 IEEE International Radar Conference (RADAR) (pp. 630-635). [09114719] IEEE.
https://doi.org/10.1109/RADAR42522.2020.9114719
Google Scholar Link
Contact Details
Visiting Address
University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands
Mailing Address
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands