Skip to content

Research at St Andrews

Ishbel Mary Macdonald Duncan

Person

Ishbel Mary Macdonald Duncan
Postal address:
School of Computer Science
North Haugh
St Andrews
Fife
United Kingdom

Email: Ishbel.Duncan@st-andrews.ac.uk

Web address: http://www.cs.st-andrews.ac.uk/~ishbel

Direct phone: +44 (0)1334 463270

Research overview

Current Research Projects.

I am currently working on security evaluation and vulnerability detection and recently had two PhD students graduate in cloud virtual network security and machine learning for Intrusion Detection. I am the Director of the Cyber Nexus project (£420K, Scottish Government) tying together industry and academia. 

I am also active in developing Virtual Worlds (OPenVirtualWorlds.org) which includes representations of the St Andrews Castle and Cathedral, Linlithgow Palace etc. I worked on a Virtual St Andrews (ViStA) for international student orientation, information, online teaching, meetings, university history, town information etc. This involves staff across the University and is led by myself, Alan Miller (CS) and Janie Brooks (ELT). My current work is on the Virtual Dive Experience with the Sea Bird Centre at North Berwick.

 

Previous projects include:

Privacy, Security and Trust: - requirements engineering for privacy and security in computational systems - e- voting: polsterless remote electronic voting - network security: Denial of Service detection and defence

Agent Based Learning : Using knowledge of failure to guide student learning of Java.

Visualisation of Biochemical Pathways : with SCRI and University of Abertay-Dundee, visualising pathways from plant, human and animal domains.

Visualisation of Software Testing and Metrics : Metrics used to measure test thoroughness, data and logic complexity and failure density within systems.

Some of the research strategies are: Modelling predicate logic and data inconsistencies in code. Using intelligent agents to locate code and design inconsistencies to aid student centred learning of JAVA. Visualising the data space of functions and reduction of the data space by parameter passing. Visualising the test process, via metrics or coverage of predicates and data domains. Analysis of the sparseness/clustering of data and the effect on system execution.

Verification and dynamic testing of Large Scale Code/Grid data

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations