leandrobmarinho Goto Github PK

I hold a Ph.D. in Teleinformatics Engineering (2021) from the Federal University of Ceará (UFC), a Master's degree in Computer Science (2017), and a Bachelor's degree in Computer Science (2014) from the Federal Institute of Education, Science and Technology of Ceará (IFCE).

Currently, I teach in the following courses:

• Academic Master's in Computer Science (PPGCC) from IFCE; and
• Technical courses in Informatics at the Guaramiranga campus.

I was a CAPES and FUNCAP scholarship holder during both my Master's and Ph.D. studies 🇧🇷. I have experience in the field of Methodology and Techniques of Computing in:

• Programming Languages;
• Software Development; and
• Web Development; And in the field of Computer Theory in:
• Artificial Intelligence;
• Data Science;
• Computer Vision; and
• Deep Learning.

• 01 undergraduate thesis supervision;
• 04 undergraduate research internships (PIBIC); and
• 02 supervision of technological development and innovation internships (PIBITI). Additionally, at present, I supervise 02 master's level students.

• CT Lung Perfusion Map for Siemens Healthineers (March, 2024 - present)

  • Development of a computer vision system for generating Lung Perfusion Maps using Generative Adversarial Networks in computed tomography images
  • Skills: Computer Vision, MeVisLab, 3D Slicer, Lung segmentation, Image Registration, Generative Adversarial Networks, VTK, PyTorch

• Intelligent Mobile System for Federal Highway Police of Brazil (November, 2021 - February, 2023)

  • Mobile Systems with Artificial Intelligence to aid in patrolling (Facial recognition, LPR, big data analysis on maps, mobile and web apps)
  • Skills: Computer Vision, Microsoft Azure, DevOps, Facial recognition, Dlib, Apache Kafka, Docker

• Smart E-TEC for Ministry of Education of Brazil (September, 2022 - August, 2023)

  • Machine Learning, Statistics, and Data Science techniques to facilitate the management and monitoring of educational institutions in Brazil.
  • Skills: Scikit-Learn, MLflow, Pandas, Apache Airflow, Docker

• Brazilian ID Intelligent Analysis for Huawei (March, 2021 - December, 2021)

  • Analysis of Brazilian documents using computer vision and NLP optimized for Huawei Cloud.
  • Skills: Natural Language Processing, Huawei Cloud, DevOps, Computer Vision, Celery, Docker, Django, PostgreSQL, Python

• ECG analysis for Canon Medical Systems of Brazil (November, 2021 - September, 2022)

  • Classification of cardiac arrhythmia in electrocardiogram using machine learning and signal processing.
  • Skills: Signal processing, Deep Learning, Celery, Docker, Django

• Video Surveillance for Locteck Company (June, 2017 - March, 2019)

  • Mobile and web applications for surveillance and facility monitoring for Intelligent Condominium control with computer vision.
  • Skills: Deep Learning, Object Detection, Object Tracking, OpenCV, Speech recognition, C++, MySQL, Flask

• Equatorial Concessionaire of Energy (March, 2018 - December, 2019)

  • Automatic Capture of Georeferenced Images for Survey of Distribution Network Assets
  • Skills: Deep Learning, LiDAR, OpenCV, C++, Jetson Xavier, Shell Script, Rest, SQLite

• Deep Learning Research Intern (March, 2017 - May, 2021)

  • Developed a method for segmenting heartbeats and classifying Cardiac Arrhythmia in ECG signals using a Regression Approach in a Convolutional Neural Network.
  • Skills: Deep Learning, Signal Processing, Machine Learning

• Computer Vision and Machine Learning Research Intern (March, 2015 - Feb, 2017)

  • Researched the use of computer vision techniques along with rejection option for mobile robot localization in indoor environments.
  • Skills: Computer Vision, Machine Learning, Mobile robot localization, Indoor localization

• Conference Proceedings A Novel Segmentation Approach Utilizing Object Detection Techniques as Prompts for a Zero-Shot System in Hemorrhagic Stroke Segmentation in CT Images. Joel R. Michaliszen J., João C. N. Fernandes, Calleo B. Barroso, Leandro B. Marinho, P. P. Rebouças Filho. In: Computer-Based Medical Systems (CBMS), Mexico, 2024

• DOI A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification. Leandro B. Marinho, Navar de M.M. Nascimento, João Wellington M. Souza, Mateus Valentim Gurgel, Pedro P. Rebouças Filho, Victor Hugo C. de Albuquerque. Future Generation Computer Systems, 2019

• DOI Development of OCR system on android platforms to aid reading with a refreshable braille display in real time. Gabriel B. Holanda, João Wellington M. Souza, Daniel A. Lima, Leandro B. Marinho, Anaxágoras M. Girão, João Batista Bezerra Frota, Pedro P. Rebouças Filho. MEASUREMENT, 2018

• DOI A novel mobile robot localization approach based on classification with rejection option using computer vision. Leandro B. Marinho, Pedro P. Rebouças Filho, Jefferson S. Almeida, João Wellington M. Souza, Amauri H. Souza Junior, Victor Hugo C. de Albuquerque. COMPUTERS & ELECTRICAL ENGINEERING, 2018

• DOI Analysis of human tissue densities: A new approach to extract features from medical images. Pedro P. Rebouças Filho, Elizângela de S. Rebouças, Leandro B. Marinho, Róger M. Sarmento, João Manuel R.S. Tavares, Victor Hugo C. de Albuquerque. PATTERN RECOGNITION LETTERS, 2017

• DOI A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional images. Leandro B. Marinho, Jefferson S. Almeida, João Wellington M. Souza, Victor Hugo C. de Albuquerque, Pedro P. Rebouças Filho. Expert Systems with Applications, 2016

• Conference Proceedings Evaluation of Heart Disease Diagnosis Approach using ECG Images. M. A. A. Ferreira Junior, M. Valentim, Leandro B. Marinho, Navar de M.M. Nascimento, S. P. P. Silva, S. S. A. Alves, G. L. B. Ramalho, P. P. Rebouças Filho. In: International Joint Conference on Neural Networks (IJCNN), Budapest, 2019