Creating and sharing knowledge for telecommunications
... Miguel Vidal Drummond

Researcher

Miguel Drummond

Academic position: Researcher
Joining date: 01-10-2007
Roles in IT: Researcher
Thematic Line: Optics and Photonics
Group: Optical Sensors and Integrated Photonics - Av

Email: Send Email
Address: IT – Aveiro
Instituto de Telecomunicações
Campus Universitário de Santiago
P-3810-193 AVEIRO - PORTUGAL
Tel: +351 234 377 900
Fax: +351 234 377 901



Bio

Miguel Drummond was born in Porto, Portugal in 1984. He graduated in Electronics and Telecommunications Engineering at the University of Aveiro in 2007. He concluded his PhD in photonic devices for optical and RF signal processing at the same University in 2011. From 2011 to 2014, he worked as an R&D engineer first at Nokia Siemens Networks, and then at Coriant, which are now Infinera.
Since September of 2014 he has been a research scientist at Instituto de Telecomunicações, Aveiro. He has been the group leader of the research cluster Optical Components and Subsystems since 2021. In Nokia Siemens Networks – Optical Networks (now Infinera) he specialized in digital signal processing for high bit rate coherent optical transceivers. He worked on the design, validation and implementation of many different algorithms comprising the receive-side DSP, leading to the invention of a data-aided chromatic dispersion estimation method. He also represented the company in the FP7 European project GALACTICO. He revised and managed the entire patent portfolio of the company.
Since September 2014, Miguel Drummond has been a Research Scientist at Instituto de Telecomunicações. Until July 2017, he was the Technical Coordinator of FP7 European project BEACON, which culminated in a state-of-the-art photonic beamformer for a receive-side phased array antenna. From 2018 to 2021, he was the Principal Investigator of project SOFTLI, funded by Bosch Car Multimedia, which culminated in five international patent applications covering automotive LiDAR waveforms, sampling techniques and estimation methods. Since 2022, he has been the Photonic System Manager in project PHOAM, funded by ESA, which aims to build a flat-panel phased array antenna for satellite communications.
His main research interests are in beamforming for large-scale phased-array antennas, automotive LiDAR sensors, and machine learning models for autonomous driving.


Scientific Achievements

  • PhD, Universidade de Aveiro, 05-09-2011
  • Licenciatura, Universidade de Aveiro, 01-01-2007
  • EOS, 01-01-2010, Member
  • IEEE Photonics Society, 01-01-2009, Member
  • OSA, 01-01-2009, Senior Member
  • All-optical Processing in Fibre Optical Communication Systems
  • Microwave Photonics
  • Photonic technologies for space communications
  • Tópicos Especiais em Dispositivos Fotônicos II, Universidade Tecnológica Federal do Paraná (UTFPR), Pós-graduação em fotônica
As Supervisor
As Co-supervisor
As Supervisor
As Co-supervisor
As Supervisor
  • R.N. Nogueira, V. C. Duarte, J. Prata, G WINZER, L. Zimmermann Zimmermann, R. Walker, S CLEMENTS, M. Filipowicz, M. Napierala, T. Nasilowski, J. Crabb, L. Stampoulidis Stampoulidis, J ANZALCHI, M. V. Drummond, BEACON: in the next generation ground radars and radio telescopes infrastructures – the SKA project opportunity, Chapter in, Portuguese SKA White Book, UA Editora – Universidade de Aveiro, Aveiro, 2020

Closed Projects11

Acronym Name Funding Agency Start date Ending date
BEACON ScalaBle & Low-Power Microwave Photonics for FlexiblE, TerAbit Telecom Payloads & High-speed Coherent Inter-satellite LiNks EU/FP7 01-02-2014 01-02-2017
CONTACT Components and techniques for high capacity optical communications FCT/PTDC 01-01-2011 01-12-2012
FOPE-ComSens Helically Twisted Polymer Optical Fibres for High Capacity Short Range Communications and Wearable Flexible Smart Sensors FCT 29-03-2021 28-09-2024
HiPOF Paving the way for high capacity POF based communication systems FCT/PTDC 01-01-2016 01-07-2018
MCTechs Multicore fibers technologies for high-capacity Optical Networks FCT/POCI 14-05-2018 14-10-2021
nodeSipher Nonlinear modeling of silicon photonics electro-optic modulators IT/LA 01-01-2017 01-12-2018
PHOAM Photonic Assisted Multibeam Phased Array Antenna ESA 01-04-2022 30-06-2024
PIfotoComSat Sistema de Apoio à Investigação Cientifica e Tecnológica (SAICT) Nr. 046537 - PIfotoComSat: IP portfolio on photonic technology applied to satellite communication systems P2020 22-12-2019 21-12-2021
PIfotoSatCom Portefólio de PI em tecnologia fotónica aplicada a sistemas de comunicação via satélite P2020 01-10-2016 01-09-2018
RETIOT Utilização de Tecnologias de Reflectometría no melhoramento do futuro Internet das Coisas e Sistemas Ciber-Físicos P2020 09-01-2017 30-06-2021
SOFTLI Software defined LIDAR Bosch 01-12-2018 01-12-2021
  • P. Georgieva, M. V. Drummond, 3D Object Detection for Self-Driving Vehicles Enhanced by Object Velocity, E Proof Received 7 December 2023, accepted 24 December 2023. Date of publication 00 xxxx 0000, date of current version 00 xxxx 0000. Digital Object Identifier 10.1109/ACCESS.2024.3353051 3D Object Detection for Self-Driving Vehicles Enhanced by Object Velocity LEANDRO ALEXANDRINO 1,2,3, HADI Z. OLYAEI3, ANDRÉ ALBUQUERQUE3, PETIA GEORGIEVA 1,2,4, (Senior Member, IEEE), AND MIGUEL V. DRUMMOND 1,2, (Member, IEEE) 1 AQ:2 Instituto de Telecomunicações, 3810-193 Aveiro, Portugal 2 AQ:3 Universidade de Aveiro, 3810-193 Aveiro, Portugal 3 AQ:4 Bosch Car Multimedia, 4705-820 Braga, Portugal 4 AQ:5 Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, 3810-193 Aveiro, Portugal AQ:6 Corresponding author: Leandro Alexandrino (l.alexandrino@ua.pt) AQ:7 This work was supported in part by the European Union (EU)-NextGenerationEU through the National Recovery and Resilience Plan, Bulgaria, under Project BG-RRP-2.004-0005; and in part by FCT/MCTES through the National Funds co-funded EU Funds under Project UIDB/50008/2020-UIDP/50008/2020. 1 2 3 4 5 6 7 8 9 ABSTRACT AQ:8 A large number of vision sensors has been proposed for enabling self-driving vehicles to perceive their surroundings. Among them, Light Detection And Ranging (LiDAR) presents the unique advantage of acquiring a high resolution 3D representation of the vehicle surroundings, in the form of point clouds, which enables accurate 3D object detection. The success of the fi rst (and current) generation LiDARs has motivated the development of a second generation of this sensor, now based on coherent detection. Second generation LiDARs thus enable not only estimating radial distance, but also radial velocity for each point of the point cloud. The objective of this work is to investigate which benefi ts can be obtained by considering such an additional information – radial velocity – in 3D object detection. Results show that considering object velocity is particularly helpful in objects represented by a small number of points., 30-11-2023
  • International Topical Meeting on Microwave Photonics (MWP), Technical Programme Committee, 2023
  • Asia Communications and Photonics Conf. - ACP, Technical Programme Committee, 2019
  • Conf. on Telecommunications - ConfTele
    2015, 1 review(s);