Rate My Professor Aladdin Ayesh

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.