Fabian Humberto Fonseca Aponte

Responsible for the planning, implementation, and testing of software for malware detection using machine learning techniques. - Data analysis-preprocessing, implementation of classification methods, and performance evaluation.

Responsible for the planning, execution, and support of projects in the area of automation and measurement. - Integration of laser technologies for the classification of dynamic elements. - Software development and licensing systems. - Contact with national and international suppliers. - Analysis of emerging technologies in the area of automation. - Study and analysis of competitive market. - Project management and stages design - Optimization and innovation of products through TRIZ methodologies.

Associated researcher to the working group DIMA-UN. Responsible for the repowering and development of new functions for the prototype UNTools intelligent warehouse oriented to Industry 4.0 prioritizing the use of Open Source elements. - Implementation of a relational database using PostgreSQL with Java and C ++. - Integration of the warehouse with the communication of other robotic systems. - Development of an user recognition device by fingerprint readers.

Member of the working group DIMA-UN in charge of the conception and development of the prototype of intelligent warehouse oriented to Industry 4.0 with communication to the Internet of the things. - Design the generic and detailed concepts of the prototype. - Management of the acquisition of materials through different distributors. - Development of the programming in ROS using C ++ and the connection with the local network through OpenHAB.

Autonomous and intensive investigation of the following topics : - Robot Operating System (ROS) Hydro - Raspberry Pi and its configurations - Smart home automation system, using OpenHAB 1 and 2 BETA, REST API, C ++, and JavaScript Parallel to the research functions, I supported demonstrative activities of the projects in progress, calibrating a system of recognition of materials and soil through artificial vision.

Scholarship holder of the "Invest Your Talent in Italy" program granted by the Italian government, sponsoring a two-year master's program. Deepening in artificial intelligence with projects implemented in the following areas: - Images of medical diagnosis, Generative Adversarial Networks. - Learning by imitation of Restraining Bolt. - Deep learning in computer vision and sensor calibration. - Natural Language Processing. - Human-Robot Interaction.

Scholarship holder granted by the Aachen University in Germany, supported by the DAAD, GPA 1.0/1.0

Academic exchange focused on the areas of robotics, machine learning and German language. Semester Scholarship holder for Exchange Students granted by the DAAD

Ranked 3rd place in the Mechatronic Engineering class 2017, Final dissertation graded 5.0/5.0 Bachelor of Science in engineering focused on the following axes: - Control and industrial automation - Robotics and artificial intelligence - Design and execution of engineering projects - Programming of embedded systems