Hassan Alhuzali is an assistant professor at Umm Al-Qura University with a decade of experience in natural language processing, specializing in affective computing and textual emotion recognition. He earned a PhD from the University of Manchester after an MS at Indiana University Bloomington and has held research positions at the National Centre for Text Mining and UBC. Hassan has published in top-tier NLP venues and regularly reviews for ACL, EMNLP, NAACL, COLING, IEEE-TAC and Information Fusion, signaling strong community engagement. His work bridges foundational NLP and applied emotion detection, aiming to make machines more sensitive to human affect. Based in Makkah, he combines academic leadership with active research collaboration across the UK, Canada, and Saudi Arabia. Beyond publications, his background as both teacher and researcher gives him practical insight into deploying research in educational and real-world settings.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Manchester
Master's degree, Information Science/Studies, Master's degree, Information Science/Studies at Indiana University Bloomington
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Hassan Alhuzali - Assistant Professor at Umm Al-Qura University