Summary
Tiago Troccoli is a research engineer with a decade of experience specializing in array and digital signal processing for embedded systems, currently developing DoA detection methods for DFT-s-OFDM at the Royal Military Academy in Belgium. His doctoral work at Tampere and industry research at Wirepas focused on bringing advanced array signal processing to constrained IoT devices (Bluetooth, DECT2020 NR), yielding five papers and two patents that reflect both theoretical depth and practical optimization. He excels at squeezing performance out of resource-limited hardware—designing novel numerical algorithms to cut execution time, energy use, and memory footprint—and routinely validates concepts in MATLAB-simulated radio environments. Early roles in automotive firmware, train-scheduling algorithms, and tutoring show a pragmatic engineer comfortable across firmware, algorithms, and teaching, with a track record of translating academic research into deployable embedded solutions.
10 years of coding experience
4 years of employment as a software developer
Doctoral Researcher, Electrical, Electronics and Communications Engineering, Doctoral Researcher, Electrical, Electronics and Communications Engineering at Tampere University
Master's degree, Computer Science, Master's degree, Computer Science at Universidade Estadual de Campinas
University of São Paulo
English, Portuguese, Italian