Areas of Expertise

  • Argumentation
  • Multi-agent Systems
  • Artificial Intelligence

Publications

  1. & Fall Detection with Unobtrusive Infrared Array Sensors. In Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System. Springer.
  2. & (2018). Context-based and Explainable Decision Making with Argumentation. Presented at AAMAS, Stockholm: International conference on Autonomous Agents and Multi-Agent Systems.
  3. & Probabilistic Logic for Intelligent Systems. Presented at Proc. IAS-15, Baden-Baden, Germany: The 15th International Conference on Intelligent Autonomous Systems.
  4. & (2017). Robust unobtrusive fall detection using infrared array sensors. Presented at MFI 2017,, 194-199. Daegu: 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems. doi:10.1109/MFI.2017.8170428
  5. & (2017). BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis. Presented at MFI 2017,, 390-396. Daegu: 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems. doi:10.1109/MFI.2017.8170352

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Teaching

  • CS-205 Declarative Programming

    This module provides an introduction to the functional and logic programming paradigms and gives students the opportunity to gain practical experience in using both.

  • 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 exerercises 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.