Our Team
Jefferson Souza (Director)
Adjunct Professor in the Department of Computer Science at the Faculty of Computing - Federal University of Uberlândia (UFU). He obtained his Ph.D. degree in Computer Science from the University of Sao Paulo (USP) in 2014 and postdoctoral (2014). During his Ph.D., he spent one year as a Visiting Researcher at The University of Sydney (USYD) (2013). His main research interest is the development of robotic systems for precision agriculture, machine learning, remote sensing and intelligent transportation systems.
Denis Wolf (University of São Paulo)
Associate Professor in the Department of Computer Systems at the Institute of Mathematical and Computer Sciences - University of Sao Paulo (ICMC/USP). He obtained his PhD degree in Computer Science from the University of Southern California in 2006. Prof. Wolf is director of the Mobile Robotics Laboratory - LRM. His main research interest is the development of robotic systems for field operation and intelligent transportation systems. Most of his current work focus on computer vision, sensor fusion and machine learning applied to terrestrial and aerial autonomous robots and vehicles for urban and agricultural applications.
Fabio Ramos (The University of Sydney)
Associate Professor in machine learning and robotics at the SIT, University of Sydney, and co-Director of the Centre for Translational Data Science. Before, he was an Australian Research Council research fellow at the Australian Centre for Field Robotics. His research interests include Bayesian statistics, sequential decision making, data fusion, anomaly detection, and multi-sensor perception. Over the last ten years he has applied these techniques to robotics, mining and exploration, environment monitoring, and healthcare. He received the BSc and the MSc degrees in Mechatronics Engineering at University of Sao Paulo, Brazil, in 2001 and 2003 respectively, and PhD degree at the ACFR, University of Sydney, Australia, in 2008.
Henrique Oliveira (University of Campinas)
Henrique Oliveira's research is primarily in the area of Photogrammetry and Remote Sensing covering other sciences related to Geomatics. The main area of interest is the usage of Photogrammetry and Remote Sensing for solving engineering problems with attention to the transportation field. Currently, he is a Professor MS3.1 with exclusive dedication in teaching and researching at University of Campinas - São Paulo state - Brazil. The courses he is responsible for cover topics related to Geomatics, with focus to Surveying and Geographic Information.
Kelen Vivaldini (Federal University of São Carlos)
She received a bachelor's degree in Computer Engineering from the University of São Paulo (2007), a Master's Degree in Mechanical Engineering from the School of Engineering of São Carlos (EESC) - USP (2010) and a PhD from the Department of Mechanical Engineering at EESC-USP. Postdoctoral fellow at the Institute of Mathematical and Computer Sciences (ICMC) of the University of São Paulo (USP) in São Carlos. She is currently Adjunct Professor at the Federal University of São Carlos. She has experience in the area of Robotics, working mainly on the following topics: Robotic Manipulators, Mobile Robots, Embedded Systems (hardware and software), Intelligent Systems and Educational Robotics.
Marco Mendonça (University of New Brunswick)
Professor and Doctoral student of the course of Geodesy in the Program of Geodesy and Geomatics at the University of New Brunswick, Canada. Also, he has Electronic Technician by SENAI/SP. He received graduate and master's degree in the Cartographic Engineering Program of FCT-UNESP. He was Engineer of development and tests of the Manufacturer of GPS receivers Septentrio.
Raulcézar Alves (Information Technology Center)
​
Professor at UNIPAC and Head of Systems Division in the Information Technology Center (CTI) at Federal University of Uberlândia (UFU). He obtained his BSc degree in 2009 from UFU-Brazil/INSA de Rouen-France, MSc degree in 2014 from UFU-Brazil, and PhD degree in 2017 from UFU-Brazil/Carnegie Mellon Univeristy-USA. His researches focus on localization, navigation and coordination of service robots within indoor environments.
Vitor Guizilini (The University of Sydney)
​
He studies and develops a solution to the Simultaneous Mapping Location (SLAM) problem using a holonomic robotic platform and omnidirectional visual sensors. He received a PhD in Mechatronics Engineering from the University of Sydney (2009-2012). Development of Machine Learning techniques to assist the autonomous navigation of terrestrial and aerial vehicles by unknown environments. This study focused on the use of Gaussian Processes, a state-of-the-art regression and classification algorithm using Bayesian statistics. Among the developed algorithms are: Visual Odometry, Detection of Dynamic Objects in the Environment, Automatic Categorization of Objects. Researcher at the National ICT of Australia, in Charge of Non-parametric Modeling of Airborne impurities in the Sydney region (2013). Currently, he is a Researcher of the University of Sydney.
Alexandre Oliveira (MSc Student)
​
This student works with the Nematodes Pest Detection in a Coffee Crops from Aerial Imagery. We use visual features and machine learning to identify regions with pests. Co-advisor: Profa. Dra. Elaine Ribeiro de Paiva (FACOM). Collaborators: Prof. Dr. Denis Wolf (USP), Prof. Dr. Fabio Ramos (USYD), Profa. Dra. Kelen Vivaldini (UFSCar), Dr. Vitor Guizilini (USYD) and Profa. Dra. Gleice Aparecida de Assis (ICIAG).
Bruno Kitano (MSc Student)
​
This student works with the Counting of Plants in a Corn Plantation from Aerial Imagery. The idea is to use visual features and machine learning to count the plants to optimize the production estimation. Co-advisor: Prof. Dr. Henrique Cândido de Oliveira (FEC-UNICAMP).
Clênio Silva (MSc Student)
​
This student works with the Multiple Robots to the Schedule Task on Indoor Environment. The idea is to use Robot Operating System and Path Planning Algorithms. Co-advisors: Prof. Dr. Carlos Roberto Lopes (FACOM) and Prof. Dr. Raulcézar Maximiano Alves (CTI-UFU).
Amanda Spolti (Undergraduate Student)
​
This student works with Automatic Extraction of Route via Aerial Imagery provided by the Unmanned Aerial Vehicles using Deep Learning. This work intends to compare different architectures of Deep Learning in order to classify roads from aerial images. Co-advisors: Dr. Caio Cesar Teodoro Mendes (USP) and Prof. Dr. Henrique Cândido Oliveira (FEC-UNICAMP).
Bruno Oliveira (Undergraduate Student)
​
This student works with Simultaneous Localization and Mapping to calculte the area of an apartment using Mobile Robots. This work intends to create a environment map to show the specifications in meters of the environment. Co-advisor: Prof. Dr. Leandro Nogueira Couto (FACOM).
Danilo França (Undergraduate Student)
​
This student works with Multiples Robots to the Foraging Task in the Real Application with Mobile Robots. This work intends to use the fiduciary marks in the regions of origin and destination in a map of the environment. Co-advisors: Profa. Dra. Gina Maira Barbosa de Oliveira (FACOM) and Prof. Dr. Leandro Nogueira Couto (FACOM).
Gabriel Vasconcelos (Undergraduate Student)
​
This student works with the Miner-Bug Pest Detection in a Coffee Crops from Aerial Imagery. We use visual features and machine learning to identify regions with pests. Co-advisor: Profa. Dra. Elaine Ribeiro de Paiva (FACOM). Collaborators: Prof. Dr. Denis Wolf (USP), Prof. Dr. Fabio Ramos (USYD), Profa. Dra. Kelen Vivaldini (UFSCar), Dr. Vitor Guizilini (USYD) and Profa. Dra. Gleice Aparecida de Assis (ICIAG).
Johny Marques (Researcher)
​
Software Engineer in the Information Technology Center (CTI) at Federal University of Uberlândia (UFU). He obtained his BSc degree in Information Systems (2011) and did a Specialization course in Software Engineering (2013) at Pitagoras University. He has experience on web and high performance systems working on projects for financial market, tax audit, geoprocessing, and marketplace using technologies such as Java, C++, Spring Boot, Geoserver, Angular, Postgresql, Mysql, and Oracle. Co-advisors: Prof. Dr. Henrique Cândido de Oliveira (FEC-UNICAMP), Prof. Msc. Marco Mendonça (UNB) and Prof. Dr. Raulcézar Alves (CTI-UFU).
Lucas Rabelo (Undergraduate Student)
​
This student works with Aedes Aegypti risk areas from Aerial Imagery. We will use visual features and machine learning techniques for identifying the critical areas. Co-advisor: Prof. Dr. André Ricardo Backes (FACOM).
Rafael Cardoso (Undergraduate Student)
​
This student works with the construction of a Mosaic from Aerial Imagery. We use photogrammetric principles for correcting image distortion and image rectification. Co-advisor: Prof. Dr. Henrique Cândido de Oliveira (FEC-UNICAMP).
Samuel Alves (Undergraduate Student)
​
In view of the difficulty in locomotion of Emergency Vehicles, we intended to create a device (System with Arduino) that, by crossings where there are traffic lights, providing agility in the attendance increasing the number of occurrence successful.
Vinicius Lima (Undergraduate Student)
​
This student works with position and atitude data collection together with their representation and modelling using ROS (Robot Operating System). Co-advisors: Prof. Dr. Henrique Cândido de Oliveira (FEC-UNICAMP), Prof. Msc. Marco Mendonça (UNB) and Prof. Dr. Raulcézar Alves (CTI-UFU).
William Antônio (Undergraduate Student)
​
This student works with the Animal Detection on Roads using Machine Learning. We use several Machine Learning techniques and propose an Architecture of Animal Alert on Roads. Co-advisor: Prof. Dr. Rodrigo Sanches Miani (FACOM).