
Always fair, kind, and deeply insightful.
Professor Aladdin Ayesh holds a Personal Chair of Artificial Intelligence in Computing Science at the School of Natural and Computing Sciences, University of Aberdeen, where he serves as Vice Dean for the Joint Institute of Data Sciences and Artificial Intelligence. He earned his MSc from the University of Essex in 1996 and PhD from Liverpool John Moores University in 2000. Prior to his current appointment, Ayesh was Professor of Artificial Intelligence at De Montfort University. Throughout his career, he has supervised 25 PhD projects to successful completion, with 21 as first supervisor and 4 as second, examined 23 PhD and MPhil theses at universities including Hull, Essex, Manchester, Edinburgh, Leeds, Leicester, Liverpool John Moores, Bradford, Le Havre, Rouen, Paris 8, and Granada, and participated in 26 funded research projects. His professional qualifications include CITP, CEng, FBCS, and SFHEA. Ayesh contributes to university governance as a member of the School Executive and Joint Institute Committees.
Ayesh's research focuses on computational cognition, machine learning, and explainable AI, including cognitive architectures, emotion modeling and recognition, and applied AI techniques such as Markov Models, Bayesian Networks, Modal and Fuzzy Logics, Self-Organizing Maps, and Deep Learning Classifiers. He applies these in health informatics, sustainable development, and data privacy, with additional specialisms in Artificial Intelligence, Cognitive Modelling, Natural Language Processing, and Neural Computing. He has produced over 150 publications, among them highly cited papers like "Phishing detection based associative classification data mining" (2014), "Intelligent intrusion detection systems using artificial neural networks" (2018), "Principles to practices for responsible AI: closing the gap" (2020), "Access network selection based on fuzzy logic and genetic algorithms" (2008), and "IEEE 7010: A new standard for assessing the well-being implications of artificial intelligence" (2020). Ayesh is a founding editor of four international journals, has chaired several international conferences, chaired the IEEE Transactions on Affective Computing steering committee from 2019 to 2024, serves as a National Conference of University Professors Council Member, belongs to two IEEE technical committees, and contributes to several IEEE Standards working groups, including IEEE 7010-2020.