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
- Denise Joanitah Birabwa, EFFICIENT RADIO RESOURCE MANAGEMENT IN INTEGRATED TERRESTRIAL AND NON-TERRESTRIAL NETWORKS
Masters
- Hlayisani Donald Mabunda, Network security in an industrial IOT application
- Ntsako Doctor Mabunda, Intrusion Detection In Water Distribution Systems Using Machine Learning Techniques
- Ignitious Vukosi Mboweni, A machine learning approach to Intrusion Detection in Water Distribution Systems
- Andrew Bokisaara, Cold boot attack on encryption keys/ key management on Smart homes
- Ethan Buckinjohn, Securing an IOT network using blockchain
- Kafunya Herbert Malichi, Real time traffic forecasting of SDN and virtualised LTE Networks
- Calvin Mavakise, Cloud based secure file storage using hybrid cryptography algorithmns
- Arcraine Kundai Mbanje Ncube, (Title Pending)
- Justina Shindongo, (Title Pending)
Current Undergraduate Teaching
- Introduction to Electrical Engineering: EEE1007S