Sergio Lavao Osorio
Pontificia Universidad Javeriana, Bogotá, Colombia
s.lavaoo@javeriana.edu.co
Research interests
Wireless Networks, Machine Learning and Signal Processing.
Projects
Agora Wireless: Channel Simulator Improvements (2023):
Implementation of Frequency domain channel, frequency selective fading and realtime massive Matlab QuaDRiGa generated datasets at Channel simulator.
Credits: Sergio Lavao Osorio.
knowledge: Matlab, Python, Wireless Systems and Information Theory.
Result Video
PLUMABot (2022): Final class project, a low cost (10$) 2DoF planar robot controlled using Python based on given Blender coordinate points, made with BYJ-28 Stepper motors, 3D printed parts and an ATMEGA-328P microcontroller.
Credits: Maria Paula Carreño, Sergio Lavao Osorio.
Result
knowledge: C, Matlab, Python, Blender, Altium and Control Theory.
Download paper (Spanish)
AF Detection (2022): Atrial fibrillation classification from a single lead of ECG recording using machine learning algorithms such as deep neural networks and support vector machines.
Credits: Juan Sebastian Bravo, Daniel Zambrano, Sergio Lavao Osorio.
knowledge: Python and Machine Learning.
Download paper (Spanish)
Early Warning System (2021): Final class project that involves the development of a sensor system that can monitor three critical variables - Strain, Current, and Angle - and provide early warnings in case of any deviations or anomalies. The signals from the sensors are first conditioned using both analog and digital filters to remove any noise and interference using an PIC18F47 Microcontroller.
The conditioning process allows the system to achieve a dynamic range of up to 60dB, BW 120Hz. The system continuously monitors the signals and compares them to predefined thresholds to detect any abnormal behavior. In case of any deviations, it triggers an early warning and can be monitored and visualized on the browser.
Credits: Maria Paula Carreño, Ludy Fajardo, Sergio Lavao Osorio.
Result
knowledge: Osciloscope, Assembly, C, Python, TypeScript, Altium, LabView and Signal processing.
Download paper (Spanish)
Game Development
Slippin' Dog (2023): Personal project made based on Robotics and Control with OpenSource software such as Godot4 and Blender, currently on development.
Credits: Sergio Lavao Osorio.
Result
GameLog
knowledge: Game Engines, C#, C, Godot4, Blender, Optimization and Control Theory.