filmeu

Teacher
João Pedro Matos-carvalho

João Pedro Matos-carvalho
joa***@ulusofona.pt
5116-A5D1-39FA
0000-0001-9409-7736

Resume

João Pedro Carvalho was born in Almada, Portugal, in 1993. He received his MSc in Electrical and Computer Engineer from FCT NOVA (Portugal) in 2017, finishing in the top 1% of the students graduating in that year, and his PhD in Electrical and Computer Engineer in 2021. From 2020 until the current data he is a junior researcher at COPELABS and CTS - Lusófona University. He won the highly competitive Scientific Employment Stimulus (CEEC individual) FCT grant in 2021. He published over 40 papers in international journals and in international conferences in the field of remote sensing, pattern recognition, machine learning, sensor networks, signal processing, with significant recognition and impact in the research society. He was the IR of the internal project SATURN - SATellite-less solUtions for secuRe uav Navigation in smart city applications at COPELABS from 01/2022 to 12/2023, where he demonstrated high level of leadership skills and responsibility. He participated in 3 international research projects, 2 national research projects, and helped co-supervising 8 MSc students and is currently supervising 4 PhD students. He is currently an Assistant Professor with the Lusófona University, Lisbon, where he lectures several undergraduate courses and 2 graduate courses. He was also a member of organising committee of 3 international conferences. He Guest-edited three special issues entitled “Drone-Based Information Fusion to Improve Autonomous Navigation” (Drones), “UAV-Assisted IoT Solutions” (Drones), and “Territorial and Spatial-Based Simulation” (Frontiers in Computer Science), and serves as a Reviewer in many eminent scientific journals in his field. He has been working in the Aerial Robotics Research and Development field since 2016. He received Best Paper Award in a prestigious IEEE conference in 2018, Distinguished Paper Award in 2021 by LASIGE at FCUL and Best Poster Presentation Award in 2023 by International Complex Systems and Their Applications conference.

Graus

  • Doutoramento
    Doutoramento em Engenharia Electrotécnica e de Computadores - Engenharia Electrotécnica e de Computadores
  • Mestrado
    Engenharia Electrotécnica e de Computadores

Publicações

Software

Edição de número de revista

  • Territorial and Spatial-Based Simulation

Artigo em revista

  • 2023-12, ParShift: a Python package to study order and differentiation in group conversations, SoftwareX
  • 2022-11, Vineyard Gap Detection by Convolutional Neural Networks Fed by Multi-Spectral Images, Algorithms
  • 2022-08-04, WLS algorithm for UAV navigation in satellite-less environments, IET Wireless Sensor Systems
  • 2022-05, Particle Swarm Optimization Embedded in UAV as a Method of Territory-Monitoring Efficiency Improvement, Symmetry
  • 2022-05, Autonomous UAS-Based Agriculture Applications: General Overview and Relevant European Case Studies, Drones
  • 2021-09, Precision Landing for Low-Maintenance Remote Operations with UAVs, Drones
  • 2021-08, How to Build a 2D and 3D Aerial Multispectral Map?—All Steps Deeply Explained, Remote Sensing
  • 2021-07, Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques, Remote Sensing
  • 2021-03, Autonomous Environment Generator for UAV-Based Simulation, Applied Sciences
  • 2021, GTRS-Based Algorithm for UAV Navigation in Indoor Environments Employing Range Measurements and Odometry, IEEE Access
  • 2021, Fabric Defect Detection With Deep Learning and False Negative Reduction, IEEE Access
  • 2020-10-28, FFAU—Framework for Fully Autonomous UAVs, Remote Sensing
  • 2019-10-25, Static and Dynamic Algorithms for Terrain Classification in UAV Aerial Imagery, Remote Sensing
  • 2019, Terrain Classification Using Static and Dynamic Texture Features by UAV Downwash Effect, Journal of Automation, Mobile Robotics and Intelligent Systems

Livro

  • 2022, Flow Empirical Mode Decomposition, Pedro, D.; Rato, R.T.; Matos-Carvalho, J.P.; Fonseca, J.M.; Mora, A.
  • 2021, HEIFU - Hexa Exterior Intelligent Flying Unit, Pedro, D.; Lousã, P.; Ramos, Á.; Matos-Carvalho, J.P.; Azevedo, F.; Campos, L.
  • 2020, Terrain classification using w-k filter and 3d navigation with static collision avoidance, Matos-Carvalho, J.P.; Pedro, D.; Campos, L.M.; Fonseca, J.M.; Mora, A.
  • 2019, UAV Downwash-Based Terrain Classification Using Wiener-Khinchin and EMD Filters, Matos-Carvalho, J.P.; Mora, A.; Rato, R.T.; Mendonça, R.; Fonseca, J.M.

Capítulo de livro

  • 2024, Humans vs AI: An Exploratory Study with Online and Offline Learners
  • 2023, QiBERT - Classifying Online Conversations, Messages with BERT as a Feature

Artigo em conferência

  • 2023-07-07, Ripening Assessment Classification using Artificial Intelligence Algorithms with Electrochemical Impedance Spectroscopy Data
  • 2023-03-20, UAV-based Scenario Builder and Physical Testing platform for Autonomous Vehicles
  • 2023-03-20, Sensitivity Analysis of LSTM Networks for Fall Detection Wearable Sensors
  • 2023-03-20, A Hybrid LSTM-based Neural Network for Satellite-less UAV Navigation
  • 2022-07-01, Irrigation Management System using Artificial Intelligence Algorithms
  • 2022-07-01, IoT Based Targeting System - Airsoft Use-Case
  • 2022-07-01, Applying Deep Neural Networks to Improve UAV Navigation in Satellite-less Environments
  • 2022-03-28, µJSON, a Lightweight Compression Scheme for Embedded GNSS Data Transmission on IoT Nodes
  • 2020, UAV Cloud Platform for Precision Farming
  • 2020, Multi-purpose Low Latency Streaming Using Unmanned Aerial Vehicles
  • 2019, Use of Particle Swarm Optimization in Terrain Classification based on UAV Downwash
  • 2019, Semantic Navigation Mapping from Aerial Multispectral Imagery
  • 2018-05, Vision-based UAV detection and tracking using motion signatures
  • 2018, UAV downwash dynamic texture features for terrain classification on autonomous navigation

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