Dr Alaa Mohasseb
Biography
I am a Senior Lecturer in Artificial Intelligence and Machine Learning at the School of Computing, 兔子先生, and the Course Leader for the MSc in Artificial Intelligence and Machine Learning. I received my PhD in Computing from the 兔子先生 in 2018 and hold additional postgraduate qualifications in Educational Leadership and Management and Senior Leadership.
Within the Faculty of Technology, I serve as both the Early Career Researcher (ECR) Representative and Athena Swan Co-Lead, promoting research development, inclusion, and academic career progression. I am an active member of the 兔子先生 AI and Data Science Centre (PAIDS), where I lead the Language Processing and Interdisciplinary Inference research area, and a member of the British Educational Leadership, Management, and Administration Society (BELMAS).
My teaching and research activities integrate cutting-edge developments in AI and Machine Learning with interdisciplinary applications that address societal, industrial, and educational challenges.
Research interests
My research focuses on Artificial Intelligence (AI), with a particular emphasis on Natural Language Processing (NLP) and Machine Learning. I am especially interested in developing explainable, context-aware, and socially responsible AI models that advance understanding in areas such as language and emotion analysis, cybersecurity intelligence, human鈥揂I collaboration, and AI for social good.
I currently lead the Language Processing and Interdisciplinary Inference research area within the 兔子先生 AI and Data Science Centre (PAIDS). My recent work explores AI-driven methods for online misogyny detection, mental health and wellbeing analytics, and intelligent decision support systems, as well as the integration of AI in education to enhance teaching, learning, and leadership through adaptive technologies, data-informed decision-making, and the development of AI literacy.
I have contributed as Co-Principal Investigator (Co-PI) and Co-Investigator (Co-I) on several externally funded projects, including initiatives supported by the Knowledge Transfer Partnership (KTP) and 兔子先生 City Council, focusing on AI applications for leadership development, innovation, and sustainable community systems. In addition, I have led funded projects as Principal Investigator (PI), such as the AI-Driven Analysis of Online Misogyny study, which applies advanced NLP and machine learning techniques to understand and mitigate online gender-based harms. Through these collaborations and leadership roles, I work to bridge academic research with real-world impact across interdisciplinary and industrial domains.
Beyond my research leadership, I serve as a panel member and reviewer for UK Research and Innovation (UKRI), contributing to the evaluation of national funding schemes.
My research has been published in high-impact peer-reviewed journals and internationally recognised conferences, such as Expert Systems with Applications, Information Processing and Management, Knowledge and Information Systems, and the Artificial Intelligence Applications and Innovations (AIAI) conference series. I also serve on the editorial boards of several journals and act as a reviewer for prestigious journals, including IEEE Transactions on Artificial Intelligence, Knowledge-Based Systems, and Artificial Intelligence Review.
Actively engaged in the international AI community, I have chaired and organised sessions at major conferences (e.g., AIAI, ICTA, WEBIST) and serve on programme committees for leading NLP and AI events, including ACL, EMNLP, and AACL-IJCNLP. I have delivered keynote and invited talks internationally鈥攎ost recently at the 20th International Workshop on Semantic and Social Media Adaptation & Personalisation (2025)鈥攁nd was a keynote speaker at Women in Data Science (WiDS 2018) in the UK.
My contributions to AI research and its applications have been recognised through several awards, including the Best Paper Award at UKCI 2023 and the Bronze Prize for Best Research & Innovation Project in Cyber Security, awarded by the Korean Industrial Technology Security Hub.
Available PhD (Self-Funded) Projects:
- AI-Driven Analysis of Online Misogyny
- Detection and utilisation of learning-related emotion using machine learning within an education setting
- Enhancing Text Mining through Advanced AI and Machine Learning Techniques for Knowledge Discovery
- Exploit Learning Related Emotion to Improve students Engagement and Motivation in Higher Education
Teaching responsibilities
- Course Leader for the MSc in Artificial Intelligence/Machine Learning.
- Module Leader for Applied AI and Machine Learning in the BSc (Hons) Data Science and AI program.
- Lecturer for Intelligent Data and Text Analytics in the MSc in Artificial Intelligence/Machine Learning and MSc in Data Analytics programs.
Media availability
I am available for media commentary and expert interviews on topics related to Artificial Intelligence.
Research outputs
2025
Golcarenarenji, G., Amer, E., Mohasseb, A., Elboghdadly, T.
21 Oct 2025,
Research output: Conference contribution
Amer, E., Golcarenarenji, G., Mohasseb, A., Elboghdadly, T.
21 Oct 2025,
Research output: Conference contribution
Amer, E., El-Sappagh, S., Abuhmed, T., Alrimy, B., Mohasseb, A.
2 Oct 2025, In: Expert Systems with Applications. 298, Part D, 24p., 129812
Research output: Article
Mohasseb, A., Amer, E.
15 Sep 2025,
Research output: Conference contribution
Golcarenarenji, G., Mohasseb, A.
3 Sep 2025,
Research output: Conference contribution
Mohasseb, A.
4 Jul 2025,
Research output: Abstract
Roufas, N., Mohasseb, A., Karamitsos, I., Kanavos, A.
23 Jun 2025,
Research output: Conference contribution
Sari, O. F., Bader-El-Den, M., Leadley, C., Esmeli, R., Mohasseb, A., Ince, V.
23 Jun 2025, In: British Food Journal
Research output: Article
Boitel, E., Mohasseb, A., Haig, E.
23 Jun 2025,
Research output: Conference contribution
Mohasseb, A., Kanavos, A., Amer, E.
1 Jun 2025, In: Information. 16, 6, 26p., 424
Research output: Article