Dr Fan Fan
Lecturer
Computer Science
Telephone: (01792) 604541
Room: Office - 302
Third Floor
Faraday Building (Tower Block)
Singleton Campus

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. Presented at PRIMA 2018, Tokyo: The 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA2018).
  3. A Temporal Planning Example with Assumption-based Argumentation. Presented at PRIMA 2018, 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.

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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 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.