I have served as a technical committee member for a number of national and international conferences and journals.
I teach a range of Computer Science subjects to undergraduate and postgraduate students and I have supervised students at undergraduate, postgraduate and PhD levels.
I am a Fellow of the Higher Education Academy.
Teaching and supervision
- Programming languages (Java, C, Python, Haskel and Prolog)
- Web technologies
- Group project
- Enterprise software development
- Advanced cyber security
- Legal, Social, Ethical, and Professional Issues in Computer Science
Research interests for potential research students
Please check the information in the "Research" tab for information on my research interest.
I am particularly interested in applied Computer Science projects related to any areas of research interest. I'm very keen to supervise project related to natural language processing, data science, big data and cyber space problems (mainly cyber bullying and hate speech detection in social media text).
I have supervised students at various levels of study (undergraduate, postgraduate and PhD).
I'm also interested in pedagogical research. I have investigated the impact of teaching/learning technologies on students learning.
I have served as a technical committee member for a number of national and international conferences and journals. I'm a member of the Association for Computational Linguistics and a fellow of the AdvanceHE (previously known as Higher Education Academy).
Rusyaidi, Muhammad, Jaf, Sardar and Ibrahim, Zunaidi (2022) Detecting Distributed Denial of Service in Network Traffic with Deep Learning. International Journal of Advanced Computer Science and Applications, 13 (1). pp. 34-41. ISSN 2156-5570
Rusyaidi, Muhammad, Jaf, Sardar and Zunaidi, Ibrahim (2022) Detecting DDoS in Network Traffic with Deep Learning. The International Journal of Advanced Computer Science and Applications (IJACSA), 13 (1). (In Press)
Caldarini, Guendalina, Jaf, Sardar and McGarry, Kenneth (2022) A Literature Survey of Recent Advances in Chatbots. Information. ISSN 2078-2489
Jaf, Sardar and Calder, Calum (2019) Deep Learning for Natural Language Parsing. IEEE Access, 7 (1). pp. 131363-131373. ISSN 2169-3536
Gajbhiye, Amit, Jaf, Sardar, Al-Moubayed, Noura and Bradley, Steven (2018) CAM: A Combined Attention Model for Natural Language Inference. In: Proceedings 2018 IEEE International Conference on Big Data. IEEE, Seattle, USA, pp. 1009-1019. ISBN 9781538650349
Gajbhiye, Amit, Jaf, Sardar, Al-Moubayed, Noura, McGough, Stephen and Bradley, Steven (2018) An Exploration of Dropout with RNNs for Natural Language Inference. In: Artificial Neural Networks and Machine Learning – ICANN 2018. Springer Lecture Notes in Computer Science, III (11141). Springer, pp. 156-167. ISBN 9783030014247
Conference or Workshop Item
Rusyaidi, Muhammad, Jaf, Sardar and Zunaidi, Ibrahim (2021) Machine Learning Methods in Detecting Distributed Denial of Service: A Systematic Literature Review. In: 8th Brunei International Conference on Engineering and Technology, 08-10 Nov 2021, Universiti Teknologi Brunei.
Algharibeh, Moath, Husari, Gaith and Jaf, Sardar (2021) A Data-Driven Password Strength Meter for Cybersecurity Assessment and Enhancement. In: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, 20-22 Dec 2021, Haikou. (Unpublished)
Mohammadi, Mahnaz, Jaf, Sardar, McGough, Andrew Stephen, Breckon, Toby P., Matthews, Peter, Theodoropoulos, Georgios and Obara, Boguslaw (2019) On the Use of Neural Text Generation for the Task of Optical Character Recognition. In: 16th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2019, 3-7 Nov. 2019, Abu Dhabi - UAE.
Jaf, Sardar and Ramsay, Allan (2015) The Application of Constraint Rules to Data-driven Parsing. In: the 2015 International Conference on Recent Advances in Natural Language Processing, Bulgaria.
Hutchinson, James, Jaf, Sardar and Lewis, Nick (2020) Cybercage. Breeze Creatives, 25-19 Oct 2020, Newcastle, UK.
- Natural language processing
- Applied machine learning
- Data Science
- Big Data
- Artificial Intelligence