Summary
Miguel Aguiar is a doctoral student in Decision and Control Systems at KTH Royal Institute of Technology, expecting to defend his PhD in June 2026, with eight years of experience bridging research and software for autonomous systems. His background in electrical and computer engineering (MSc, 18/20) underpins work on control, guidance and trajectory optimization—implemented in C++ and applied to AUV operations and ocean-current-aware planning. He has a strong track record of publishing and peer-reviewing for control and robotics venues and has developed efficient parallel numerical dynamic programming methods. Beyond academia, Miguel has hands-on experience deploying control software in operational settings and mentoring junior engineers, reflecting a mix of theoretical depth and practical systems engineering.
8 years of coding experience
1 year of employment as a software developer
MSc, Electrical and Computers Engineering, 18/20, MSc, Electrical and Computers Engineering, 18/20 at Faculdade de Engenharia da Universidade do Porto
Portuguese, English, Swedish, French