Teacher
João Pedro Matos-carvalho

Resume

João Pedro Carvalho was born in 1993 in Almada, Portugal. He received the M.Sc. (Hons.) and Ph.D. degrees in electrical and computer engineering from FCT NOVA, Portugal, in 2017 and 2021, respectively. Since 2020, he has been an Integrated Member with the Center of Technology and Systems (CTS), UNINOVA, and COPELABS, Lusófona University. He won the highly competitive Scientific Employment Stimulus (CEEC institutional) FCT grant in 2021. He has published more than 40 papers in international journals and international conferences in the field of remote sensing, pattern recognition, machine learning, sensor networks, signal processing, with significant recognition and impact in the research community. He is currently Assistant Professor at Lusófona University, Lisbon. He has 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 prestigious scientific journals in his field. Since 2016, he has been working in the field of aerial robotics research and development. He received the Best Paper Award in a prestigious IEEE conference in 2018, the Distinguished Paper Award in 2021 by LASIGE at FCUL, and the Best Poster Presentation Award in 2023 by International Complex Systems and Their Applications conference.

Graus

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

Publicações

Preprint

Software

Journal issue

• Territorial and Spatial-Based Simulation

Journal article

• 2025-12, Text clustering with large language model embeddings, International Journal of Cognitive Computing in Engineering
• 2025, lpGBT, IEEE Transactions on Nuclear Science
• 2024-10, LSTM Gate Disclosure as an Embedded AI Methodology for Wearable Fall-Detection Sensors, Symmetry
• 2024-09-20, Generic FPGA Pre-Processing Image Library for Industrial Vision Systems, Sensors
• 2024-09, AutoNAV: A Python package for simulating UAV navigation in satellite-less environments, SoftwareX
• 2024-05, Raster Forge: Interactive raster manipulation library and GUI for Python, Software Impacts
• 2024, LSTM-based Trajectory and Phase-Shift Prediction for RSMA Networks Assisted by AIRS, IEEE Transactions on Communications
• 2023-12, ParShift: a Python package to study order and differentiation in group conversations, SoftwareX
• 2023, Use of explicit replies as coordination mechanisms in online student debate, ArXiv
• 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

Book chapter

• 2024, Humans vs AI: An Exploratory Study with Online and Offline Learners
• 2024, Convolutional Neural Networks for Autonomous UAV Navigation in GPS-Denied Environments, IFIP Advances in Information and Communication Technology, Springer Nature Switzerland
• 2023, QiBERT - Classifying Online Conversations, Messages with BERT as a Feature
• 2022, Open-Source Mapping Method Applied to Thermal Imagery, Lecture Notes in Networks and Systems, Springer International Publishing
• 2021, HEIFU - Hexa Exterior Intelligent Flying Unit, Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops, Springer International Publishing
• 2021, Flow Empirical Mode Decomposition, Lecture Notes in Networks and Systems, Springer International Publishing
• 2020, ColANet: A UAV Collision Avoidance Dataset, IFIP Advances in Information and Communication Technology, Springer International Publishing
• 2019, UAV Downwash-Based Terrain Classification Using Wiener-Khinchin and EMD Filters, IFIP Advances in Information and Communication Technology, Springer International Publishing
• 2019, Terrain Classification Using W-K Filter and 3D Navigation with Static Collision Avoidance, Advances in Intelligent Systems and Computing, Springer International Publishing

Conference paper

• Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers
• Horses Identification Through Deep Learning Algorithms
• Empirical evaluation of multi UAV coverage path planning for aerial surveying
• Data Science for Geographic Information Systems
• 2024-09-04, Quantization with Gate Disclosure for Embedded Artificial Intelligence Applied to Fall Detection
• 2024-07-05, Adaptive Simulation of Separate Factors in the Alexandridis Wildfire Model, 2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)
• 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