Areas of Expertise

  • Argumentation
  • Multi-agent Systems
  • Artificial Intelligence

Publications

  1. & An explainable multi-attribute decision model based on argumentation. Expert Systems with Applications 117, 42-61.
  2. On Generating Explainable Plans with Assumption-Based Argumentation. In PRIMA 2018: Principles and Practice of Multi-Agent Systems. (pp. 344-361). Tokyo: The 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA2018).
  3. PRIMA 2018: Principles and Practice of Multi-Agent Systems. Tokyo: The 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA2018).
  4. & Fall Detection with Unobtrusive Infrared Array Sensors. In Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System. (pp. 253-267). Springer.
  5. & (2018). Context-based and Explainable Decision Making with Argumentation. Presented at Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, Stockholm: International conference on Autonomous Agents and Multi-Agent Systems.

See more...

Teaching

  • CSC364 Software Testing

    Testing is the process of systematically experimenting with an object (the SUT = System Under Test) in order to establish its quality, where quality means the degree of accordance to the intention or specification. This module will cover various test scenarios; practical exercises will allow the students to gain hands-on experience.

  • CSCM64 Software Testing

    Testing is the process of systematically experimenting with an object (the SUT = System Under Test) in order to establish its quality, where quality means the degree of accordance to the intention or specification. This module will provide an in-depth introduction to various test scenarios and enable students to gain hands-on experience by means of a number of practical exercises.

Supervision

  • Untitled (current)

    Student name:
    MSc
    Other supervisor: Dr Oliver Kullmann