ISAT
Intelligent Systems and Advanced Telecommunication

 

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

Projects

  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

Students-UWC

STAFF

Group leader – Professor Antoine B. Bagula

I obtained my doctoral degree in 2006 from the KTH-Royal Institute of Technology in Sweden. I held lecturing positions at the University of Stellenbosch and the University of Cape Town before joining the Computer Science department at the University of the Western Cape in January 2014. Since 2006, I have been a frequent consultant of the UNESCO through its International Centre for Theoretical Physics in Trieste-Italy, the World Bank and other international organizations on different telecommunication projects.

My recent work with the World Bank involves the design of an e-governance software package enabling reporting through an SMS system. I am a senior associate of the UNESCO International Centre for Theoretical Physics of Trieste/Italy and have been actively involved in the centre training programme on wireless networking. I have been on the technical programme committees of more than 50 international conferences and on the editorial board of international journals. I also co-chaired international conferences in the field of telecommunications and ICT. I have authored/co-authored more than 100 papers in peer-reviewed conferences, journals and book chapters.

My research interest is Computer Networking with a specific focus on the Internet-of-Things, Cloud Computing, Network security and Network protocols for wireless and wired mesh networks and hybrid networks.

 
Tel:+27 21 959 2562+27 21 959 3010 (Secretary)
Cell:+27 71 895 9675 
Fax:+27 21 959 3006+27 21 959 1274

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