David Rendón is a researcher and professor at Universidad EAFIT with eight years of experience bridging mechatronics, embedded systems, and Industry 4.0. He holds a PhD in Computer Science from UPV/EHU and an M.Sc. in Integrated Design of Technical Systems, and leads courses and a research nucleus on IoT and embedded systems while supporting GIDITIC and GRID research projects. His work spans adaptive control, machine learning, computer vision, electronics optimization and biomedical signal processing, with applied experience from turbine control to industrial data intelligence at Vicomtech. Known for combining hands-on hardware design and power electronics with algorithmic solutions, he routinely translates academic research into deployable IoT and mechatronic systems for industry.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Cum Laude, Doctor of Philosophy - PhD, Computer Science, Cum Laude at UPV/EHU
Master of Science (M.Sc.), Diseño integrado de sistemas técnicos, Master of Science (M.Sc.), Diseño integrado de sistemas técnicos at Universidad EAFIT
Ingeniero Mecatronico, Mecanica, Electronica, Sistemas, Automatizacion, Control, Ingeniero Mecatronico, Mecanica, Electronica, Sistemas, Automatizacion, Control at Escuela de Ingeniería de Antioquia
Contributions:24 commits, 18 pushes, 1 branch in 2 months
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