Intelligent Systems and Advanced Telecommunication

Group Leader

Professor Antoine B. Bagula

Modern intelligent systems are systems which autonomously or semi-autonomously achieve their objectives through a wealth of experience or knowledge acquired from the environment while pervasively integrating the information processing into our daily life by engaging heterogeneous computational devices and systems simultaneously into objects that we manipulate. When endowed with an IP address and outfitted with sensing, actuating and identification devices, these objects become smart objects capable of interacting with humans and among themselves to provide different services to different users “anytime”, “anywhere” and using “anything” in a heterogeneous environment that involves a number of applications, communication protocols, operating systems, processors, devices, and architectures. Such pervasive computing presents many issues in terms of design, implementation and optimization.

The aim of the Intelligent Systems and Advanced Telecommunication (ISAT) research group is to advance the science and engineering of intelligent systems and their applications through the development of intelligent smart cards, robotic systems, intelligent models, smart sensor/actuator networks, intelligent information systems, etc. Our main research focus lies on the design, modelling, simulation and prototype implementation of intelligent systems and networks derived from (1) novel human computer interaction by investigating speech and vision based interfaces and (2) exact and heuristic optimization methods derived from the artificial intelligence statistics to solve telecommunication problems.


Description of Work


  1. Frequency management
  2. IoT Protocols
  3. IoT Middleware
  4. IoT Microclouds
  5. IoT Security
  1. Traffic Engineering
  2. Network Engineering
  3. Network Security
  4. Cognitive Networking
  5. Heterogenous Networking
  1. Electronic Trading Platforms: web, mobile and cloud based platforms
  2. Public Safety Platforms: web, mobile and cloud based platforms
  3. Machine Learning Trading Algorithms
  4. Crime Data Mining Algorithms
  5. Public Safety Expert Systems
  1. Smart cities
    1. Pollution monitoring
      1. Air
      2. Water
      3. Noise
    2. Smart parking
      1. Network design
      2. Data dissemination
      3. Data visualization
    3. Public safety
      1. Visual crime mining
      2. Data crime mining
      3. Crowd monitoring
    4. Smart homes
      1. Home security
      2. Smart energy
      3. Home automation
    5. Smart energy
      1. Systems dimensioning
      2. Systems monitoring
  2. Internet-of-Things
    1. Ground-based sensor networks
      1. Network engineering
        1. Flat topology design
        2. Hierarchical design: Backbone, Clustering
      2. Traffic engineering
        1. Single sink routing
        2. Multi sink routing
        3. Hierarchical routing
    2. Aerial sensor networks
      1. Task allocation
      2. Collision avoidance
      3. Path finding
  3. Cyber healthcare
    1. Data protection
      1. Anonymization
      2. Encryption
      3. Decryption
    2. Systems interoperability
      1. Standardization
      2. Semantic interoperability
    3. Natural language: Interface to database systems
    4. Situation recognition: Patient prioritization
    5. Decision support: Medical expertise
  4. Big data
    1. Cloud computing
      1. Systems monitoring
      2. Resource allocation
    2. High performance computing
    3. Big data analytics
    4. Big data technologies
    5. Big data transport
    6. Big data security
  5. Business intelligence
    1. Micro lending platform
      1. Mobile programming
      2. Backend intelligence
    2. Business trading platform
      1. Mobile crowdsourcing
      2. Backend intelligence
    3. Forex exchange platform
    4. Financial payment platform
  1. Pan African Research and Education Network (PAREN): Topology discovery and bandwith exchanges
  2. City-Safe: Public safety in South Africa using mobile crowdsourcing and machine learning techniques




Shingange Freedwell (Multi Drone Task Allocation)
Warren Jacobus (Sanbi + CS project)
Ntombikayise Zenande Ndabula (Electronic Market Trading Platform)
Chakanyuka Takudzwa (Multi Drone Task Allocation)
Eugene de Beste (SANBI + CS Project) 



Zenville Erasmus 
Wessel Havenga 
Claude Kakoko Lubamba 
Munyaradzi Mandava 
Elias (from Namibia – to be confirmed) 
Komotso Tsiri 



Kenzo Abraham 
Samson Akintoye 
Pheeha Machaka 
Thomas Maketa 
Hope Mauwa 
Emmanuel Tuyishimire 


Abidoye Ademola Philip