Summary
Rafael Chaves is an academic-professional in electrical and electronics engineering with nine years of experience bridging research and teaching, currently serving as a professor at Cefet/RJ while pursuing a cotutelle Ph.D. between COPPE/UFRJ and Macquarie University. Awarded best undergraduate in his class, he has deep expertise in digital and adaptive signal processing, tensor methods, massive MIMO, underwater acoustics and machine learning, supported by a flawless academic record. He has a history of applied work—from a consultancy on optical fiber waveguide signal processing to multiple teaching assistant roles—demonstrating an ability to translate theory into practice and classroom impact. A member of IEEE and SBrT, Rafael blends rigorous research with hands-on lab experience and international collaboration, often focusing on interdisciplinary problems where signal processing meets communications and AI.
9 years of coding experience
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, GPA 4.0, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, GPA 4.0 at Federal University of Rio de Janeiro
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Macquarie University
Portuguese, English