Andrew earned his Bachelor of Engineering and Master’s of Science in Mechanical Engineeing at The University of Zambia and University of Cape Town respectively. He joined the Department of Mechanical Engineering in 2007 as a lecturer, serving as Deputy Head from 2013 to 2019. He is due to graduate for his PhD with North Carolina State University in 2023.
Ph.D. candidate NCSU
M.Sc. Eng (UCT)
Research Focus Areas
Drone motion planning for wildlife conservation
Nonlinear control of dynamical systems with application to UAVs
Control application in renewable energy generation
Courses Currently Teaching
Engineering Mechanics Statics
Engineering Mechanics Dynamics
Theory of Machines
Community Development Activities
African School of Physics
Zulu A., Silverberg L. M., Probability of Detecting Poachers in the Savannah with Unmanned Aerial Vehicles, International Journal of Conservation Science (in print). Andrew Zulu,
Towards Explicit PID Tuning using Machine Learning, IEEE AFRICON Proceedings, 18-20 September 2017, Cape Town, South Africa, pp. 451-454.
Conference presentations & invited talks
Andrew Zulu, Towards Explicit PID Tuning using Machine Learning, IEEE AFRICON Proceedings, 18-20 September 2017, Cape Town, South Africa, pp. 451-454.