Milena Pinto (0000-0001-6916-700X)

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Milena F. Pinto is a Control and Automation engineer by the Federal Technological Education Center of Minas Gerais - CEFET/MG. Masters and doctoral degree in Electrical Engineering by the Federal University of Juiz de Fora - UFJF, with one year of doctoral at Technische Universität München. Milena has experience in both industrial and research areas. She did an academic internship at the Combustion Technology Institute of the German Aerospace Center (DLR) in the city of Stuttgart (Germany). Milena also worked as a trainee engineer at TELNAV Telecomunicacoes Navais in the city of Macae (Brazil). She is currently professor at Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (CEFET/RJ) and researcher from the Energy Department of the Electrical Engineering of UFJF. Her interested areas are Artificial Intelligence, Robotic Systems, Unmanned Aerial Vehicles, and Fog-Cloud computing.

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Federal Center for Technological Education Celso Suckow da Fonseca: Rio de Janeiro, BR

2019-01-08 to present | Professor (Electronics Department )

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Milena Pinto

https://orcid.org/0000-0001-6916-700X

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Employment (4)

Federal Center for Technological Education Celso Suckow da Fonseca: Rio de Janeiro, BR

Telnav Telecomunicações Navais: Macaé, Rio de Janeiro, BR

Institut für Verbrennungstechnik : Stuttgart, Baden-Württemberg/, DE

Alternativa Elétrica Ubá, ALTERNATIVA: Ubá, Minas Gerais, BR

Education and qualifications (3)

Universidade Federal de Juiz de Fora: Juiz de Fora, MG, BR

Universidade Federal de Juiz de Fora: Juiz de Fora, MG, BR

Centro Federal de Educação Tecnólogica de Minas Gerais: Belo Horizonte, MG, BR

Works (50 of 92)

Heterogeneous Multi-Robot Collaboration for Coverage Path Planning in Partially Known Dynamic Environments

LoRaCELL-Driven IoT Smart Lighting Systems: Sustainability in Urban Infrastructure

Sensorial Testbed for High-Voltage Tower Inspection with UAVs

Sliding Mode Controller Applied to Autonomous UAV Operation in Marine Small Cargo Transport

Smart Oil Field Management System Using Evolutionary Intelligence

Attitude Control of Ornithopter Wing by Using a MIMO Active Disturbance Rejection Strategy

Diesel Engine Fault Prediction Using Artificial Intelligence Regression Methods

Variant ADRC Design Paradigm for Controlling Uncertain Dynamical Systems

UAV Power Line Tracking Control Based on a Type-2 Fuzzy-PID Approach

Adaptive Path Planning for Fusing Rapidly Exploring Random Trees and Deep Reinforcement Learning in an Agriculture Dynamic Environment UAVs

Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario

A novel sEMG data augmentation based on WGAN-GP

A probabilistic approach to assess the impact of wind power generation in transmission network expansion planning

An edge–fog architecture for distributed 3D reconstruction

Analysis of tennis games using TrackNet-based neural network and applying morphological operations to the match videos

Dynamic Path Planning Based on Neural Networks for Aerial Inspection

Experimentation and Simulation with Autonomous Coverage Path Planning for UAVs

Hybrid data augmentation method for combined failure recognition in rotating machines

Hybrid methodology based on computational vision and sensor fusion for assisting autonomous UAV on offshore messenger cable transfer operation

Long-Term Person Reidentification: Challenges and Outlook

Semantic Segmentation for Automatic Extraction of Linear Geological Structures from Uav Imagery - Saelgs

Shared control methodology based on head positioning and vector fields for people with quadriplegia

Technical and Economic Feasibility Study for Implementing a Novel Mooring-Assisting Methodology in Offloading Operations Using Autonomous Unmanned Aerial Vehicles

Visual-based Assistive Method for UAV Power Line Inspection and Landing

Computer Vision Based Path Following for Autonomous Unammed Aerial Systems in Unburied Pipeline Onshore Inspection

Simulation Analysis of Signal Conditioning Circuits for Plants’ Electrical Signals

Design of a Control Approach to Assist the Performance of a Competitive Line Follower Robot

Study of an Assistive Robotics 5-DoF System Prototype to be Taught in Undergraduate Engineering Classes

Effect of bandgap energies by various color petals of Gerbera jamesonii flower dyes as a photosensitizer on enhancing the efficiency of dye-sensitized solar cells

An Edge-Fog Architecture for Distributed 3D Reconstruction and Remote Monitoring of a Power Plant Site in the Context of 5G

Fuzzy Gain-Scheduling PID for UAV Position and Altitude Controllers

Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications

Sensor Architecture Model for Unmanned Aerial Vehicles Dedicated to Electrical Tower Inspections

Sensor Architecture Model for Unmanned Aerial Vehicles Dedicated to Electrical Tower Inspections

A Rhythmic Activation Mechanism for Soft Multi-legged Robots

An economic evaluation of an intelligent street lighting system for smart cities context and applications

Diagnostic and severity analysis of combined failures composed by imbalance and misalignment in rotating machines

Hybrid PID-Fuzzy controller for autonomous UAV stabilization

Low-cost Trajectory-Based Ball Detection for Impact Indication and Recording

Low-pressure line control for automatic pressure testing applied in oil and gas industry

Unmanned Aerial Vehicles Motion Control with Fuzzy Tuning of Cascaded-PID Gains

Photogrammetric Process to Monitor Stress Fields Inside Structural Systems

Dynamic Optimization and Heuristics Based Online Coverage Path Planning in 3D Environment for UAVs

A Framework for Coverage Path Planning Optimization Based on Point Cloud for Structural Inspection

3D correspondence and point projection method for structures deformation analysis

A Hybrid Bat-Inspired Algorithm for Power Transmission Expansion Planning on a Practical Brazilian Network

Coverage Path Planning Optimization for Slopes and Dams Inspection

Surveillance Architecture for Human Activity Recognition using Unmanned Aerial Vehicle

Deep Learning Applied to Vegetation Identification and Removal Using Multidimensional Aerial Data

A Heterogeneous Edge-Fog Environment Supporting Digital Twins for Remote Inspections

Peer review (114 reviews for 24 publications/grants)