Summary
Evagoras Makridis is a Special Scientist and PhD candidate in Electrical and Computer Engineering at the University of Cyprus with eight years of hands-on experience in distributed optimization, control of networked systems, and wireless resource management. He holds an M.Sc. in Autonomous Systems from KTH and Aalto (EIT Digital scholar) and completed industry-focused research at Ericsson on reinforcement learning for 5G radio resource management. His work spans autonomous quadrotor navigation, multi-agent RL for UAV formation, and practical wireless link adaptation and scheduling, bridging rigorous academic research with applied R&D. Comfortable moving between research labs and industry, he has contributed to both startups and large organizations, including Suite5 and TRG, and brings a rare combination of theoretical expertise and implementation experience in control and telecom systems. A detail that often goes unnoticed: his background includes ultra-wideband-based localization for robust quadrotor control, showing a penchant for integrating sensing and control in real-world platforms.
8 years of coding experience
2 years of employment as a software developer
High School Diploma, ENGINEERING, High School Diploma, ENGINEERING at Lyceum Ayias Fylaxeos
Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering at University of Cyprus
Master of Science (M.Sc), Autonomous Systems, Master of Science (M.Sc), Autonomous Systems at KTH Royal Institute of Technology
Master of Science (M.Sc.), Autonomous Systems, Master of Science (M.Sc.), Autonomous Systems at Aalto University
Bachelor of Science (B.Sc.), Electrical Engineering, Bachelor of Science (B.Sc.), Electrical Engineering at Cyprus University of Technology