Dr Brilliant Habeenzu

Department of Electrical and Electronic Engineering

2013 – 2019 University of Pretoria
PhD Electronic Engineering
Used experimental data to develop a model that predicts performance of devices exposed to total ionizing dose at microwave and mm-wave frequencies. The PhD work focused on both the 130nm SiGe BiCMOS and the 350nm Si CMOS processes in which dies were prototyped and fabricated so as to perform both linear and noise figure measurements pre- and post-radiation.
2007 - 2008 University of Cape Town
Master of Engineering in Telecommunications
Established a relationship from first principles between diversity gain and range in wireless systems in a thesis work with a title “Exploiting Diversity and Spatial Multiplexing gains in Wireless Communication Systems”. The thesis received a grade of first class (1).
1999 – 2004 University of Zambia
Bachelor of Engineering in Electronics & Telecommunications with Merit
Developed a simulator that compared the performance of TCP Congestion control algorithms for networks at the transport layer. The project received a grade of second class, Division one (B+)

Research Interests

Research group and committee membership

1. Member of the research group on embedded systems.

2. Member of the research group on education for S&T and electronic waste management.


1. B Habeenzu, “TID Induced small signal model variation in CMOS and SiGe BiCMOS”, PhD Diss., University of Pretoria, 2019
Journal articles
1. B. Habeenzu, W. Meyer and T. Stander, “Effect of electron radiation on small signal parameters for bulk CMOS devices at microwave and mm-wave frequencies,” Microelectronics Reliability, 2020
2. C. Kabanda, C. S. Lubobya and B. Habeenzu, “Analogue Self-Interference Cancellation in Full-Duplex Radios,” American Journal of Engineering and Applied Sciences, 2020 (Accepted for publication)
Reviewed Journal articles
1. JS Ojo, PA Owolawi, AM Atoye, “Designing a Green Power Delivery System for Telecommunication Base Transceiver Stations in Southwestern Nigeria”, 2019, SAIEE Africa Research Journal (Reviewed on 10th August, 2018).
2. MN Ahuna, TJ Afullo, AA Alonge, “Rain Attenuation Prediction Using Artificial Neural Network for Dynamic Rain Fade Mitigation Over a Slant Path Radio Link in South Africa”, 2019, SAIEE Africa Research Journal (Reviewed on 10th August, 2018).