Qualification
Ph.D. candidate (UJ)
M.Sc. Eng (UCT)
B.Eng (UNZA)
Biography
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.
Professional Affiliation
- MIEEE
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
Undergraduate
- Engineering Mechanics Statics
- Engineering Mechanics Dynamics
- Theory of Machines
- Machine Design
Community Development Activities
- African School of Physics
Selected Publications
Peer-reviewed articles
- 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.
ResearchGate: https://www.researchgate.net/profile/Andrew-Zulu
Google Scholar: https://scholar.google.com/citations?user=HgYxzvMAAAAJ&hl=en
