Louise Leenen
Louise Leenen is a computer scientist at the University of the Western Cape in South Africa who applies artificial intelligence, constraint programming and mathematical modelling to cybersecurity. She led an Australian Postgraduate Award Industry Grant project on steel-manufacturing optimisation from 2004 to 2007, wrote papers on semiring constraint satisfaction with Tommie Meyer and Aditya Ghose, and completed a PhD in artificial intelligence at the University of Wollongong in 2009. Her 2017 paper Ant Tree Miner Amyntas, written with Frans Hendrik Botes and Retha De La Harpe, applied ant colony optimisation to feature selection for intrusion detection, and in 2019 she moved from the CSIR's Cyber Defence Research Group to the University of the Western Cape. In 2025 she co-authored the Defeasible Horn Classifier with Exceptions, a symbolic classifier learned with Answer Set Programming. She is an associate professor of computer science, holds an NRF SARChI Chair in Artificial Intelligence and Cybersecurity, and leads the CAIR node in AI and Cybersecurity.
- Now at
- University of the Western Cape
Timeline
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2004–2007
Steel manufacturing optimisation
She leads an Australian Postgraduate Award Industry Grant project from 2004 to 2007, developing optimisation systems for steel manufacturing.
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2005–2008
Semiring constraint satisfaction papers
From 2005 to 2008, she writes on semiring constraint satisfaction problems with Tommie Meyer and Aditya Ghose, including a paper on relaxations of these problems in Information Processing Letters in 2007. In 2008, she and Ghose present branch and bound algorithms for them at PRICAI 2008 in Hanoi.
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2009
A PhD at Wollongong
She completes a PhD in artificial intelligence at the University of Wollongong in Australia in 2009, working in constraint programming. She also holds a master's degree in operations research and has specialised training in combinatorial optimisation using ILOG.
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2017
Ant Tree Miner Amyntas
In 2017, she co-authors Ant Tree Miner Amyntas with Frans Hendrik Botes and Retha De La Harpe in the Journal of Information Warfare. The paper uses ant colony optimisation and a cost-based evaluation function to select features before inducing decision trees that classify network data for intrusion detection.
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2019
AI for cyber defence chapter
In 2019, she and Tommie Meyer publish a chapter, Artificial Intelligence and Big Data Analytics in Support of Cyber Defense, in IGI Global's Developments in Information Security and Cybernetic Wars. The chapter gives an overview of AI and big data technologies in cyber defence and identifies areas for future research.
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2019
Joining UWC from the CSIR
She joins the Department of Computer Science at the University of the Western Cape in 2019, after working as a Principal Researcher in the Cyber Defence Research Group at the CSIR.
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2025
A transparent symbolic classifier
In 2025, she co-authors An Override-aware Classifier for Transparent AI with Ruvarashe Madzime and Tommie Meyer for the Southern African Conference for Artificial Intelligence Research. The paper introduces the Defeasible Horn Classifier with Exceptions, a symbolic model learned with Answer Set Programming whose ranked Horn rules give full traceability for each prediction.
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As of October 2026
Associate professor and SARChI Chair
She is an associate professor at the University of the Western Cape, where she has worked since 2019, and Acting Head of its Department of Computer Science. She holds an NRF SARChI Chair in Artificial Intelligence and Cybersecurity, is an NRF C1-rated researcher, and leads the CAIR node in AI and Cybersecurity.
Career
- Since 2019University of the Western CapeAssociate Professor
- Until 2019Council for Scientific and Industrial ResearchPrincipal Researcher
Education
- 2009University of WollongongPhD
Sources and credits
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