Dr Daniel Ramotsoela
Network Security, Machine Learning, Internet of Things, Cyber-physical Systems, Intrusion detection
BEng MEng PhD Pretoria MIEEE
My research interests include network security, machine learning and wireless sensor networks, primarily focusing on IoT applications and cyber-physical systems. I have taught courses in software engineering, network security, electronics, telecommunications and programming in various languages. My current research focus is on intrusion detection in the industrial control systems of critical infrastructure applications. The topic brings together the fields of machine learning and network security within various Engineering application environments.
Research Interests
- Network Security
- Machine Learning
- Internet of Things
- Cyber-physical Systems
- Intrusion detection
Postgraduate Supervision
PHD
- Ojijo Mourice, Artificial Intelligence Application in Network resource management and optmization in 5G using rectified linear unit
Masters
- Mabunda Ntsako Doctor, Intrusion Detection In Water Distribution Systems Using Machine Learning Techniques
- Mahlokozela Joe Kumbirai, Privacy-preserving federated learning in the medical health industry.
- Malichi Kafunya Herbert, Real time traffic forecasting of SDN and virtualised LTE Networks
- Mavakise Calvin, Cloud Based Secure File Storage Using Hybrid Cryptography Algorithm
- Pikini Mpumelelo, A framework of assessing Cache-Based side channel attacks on embedded systems.
- Shindongo Justina, Electronic voting system using blockchain
- Zulu Muziwakhe Wellington
Current Undergraduate Teaching
- Introduction to Electrical Engineering: EEE1007S