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Dr Sardar Jaf


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Senior Lecturer

I have strong research interest in Artificial Intelligence, Data Science, Cybersecurity and Pedagogical research.

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)
  • Networks
  • Web technologies
  • Group project
  • Enterprise software development
  • Advanced cyber security
  • Databases
  • 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).

Research

My area of expertise is in several Artificial Intelligence. I specialise in natural language processing (where I have extensively published and reviewed peer-reviewed papers), Data Science (where I apply machine learning algorithms to Big Data) and Cybersecurity (dealing with cyber crime, cyber bullying, hate speech and anomaly detection).

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).

Publications

Number of items: 14.

Article

Jaf, Sardar and Calder, Calum (2019) Deep Learning for Natural Language Parsing. IEEE Access, 7 (1). pp. 131363-131373. ISSN 2169-3536

Ghafir, Ibrahim, Saleem, Jibran, Hammoudeh, Mohammad, Faour, Hanan, Prenosil, Vaclav, Jaf, Sardar, Jabbar, Sohail and Baker, Thar (2018) Security threats to critical infrastructure: the human factor. The Journal of Supercomputing, 74 (10). pp. 4986-5002. ISSN 0920-8542

Ghafir, Ibrahim, Prenosil, Vaclv, Hammoudeh, Mohammad, Baker, Thar, Jabbar, Sohail, Khalid, Shehzad and Jaf, Sardar (2018) BotDet: A System for Real Time Botnet Command and Control Traffic Detection. IEEE Access Open Access, 6 (1). pp. 38947-38958.

Book Section

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

Conference or Workshop Item

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.

Hudson, Thomas and Jaf, Sardar (2018) On the Development of Large Scale Corpus for Native Language Identification. In: Proceedings of the 17th International Workshop on Treebanks and Linguistic Theories (TLT 2018), December 2018, Oslo, Norway.

Medhat, Fady, Mohammadi, Mahnaz, Jaf, Sardar, Willcocks, G. Chris, Breckon, Toby, McGough, Stephen, Theodoropoulos, Georgios and Obara, Boguslaw (2018) TMIXT: A process flow for Transcribing MIXed Handwritten and Machine-printed Text. In: IEEE International Conference on Big Data, US.

Gajbhiye, Amit, Jaf, Sardar, Al-Moubayed, Noura, McGough, Stephen and Bradley, Steven (2018) An Exploration of Dropout with RNNs for Natural Language Inference. In: The 27th International Conference on Artificial Neural Networks.

Jaf, Sardar, Alabbas, Maytham and Khudeyer, Raidah S. (2018) Combining Machine Learning Classifiers for the Task of Arabic Characters Recognition. In: International Journal of Asian Language Processing, 2017, Malaysia.

Alabbas, Maytham, Khudeyer, Raidah S. and Jaf, Sardar (2016) Improved Arabic Characters Recognition by Combining Multiple Machine Learning Classifiers. In: the 20th International Conference on Asian Language Processing, IALP'16 pages = 262--265, address = Tainan, Taiwan, publisher = IEEE.

Jaf, Sardar and Ramsay, Allan (2015) Deterministic Decisions in Non-deterministic Parsing. In: 12th International Workshop on Natural Language Processing and Cognitive Science, Poland.

Jaf, Sardar and Ramsay, Allan (2015) The Selection a Classifier for Data-driven Parsing. In: the 12th International Workshop on Natural Language Processing and Cognitive Science, Poland.

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.

Jaf, Sardar and Ramsay, Allan (2013) Towards the Development of a Hybrid Parser for Natural Languages. In: Jones, Andrew V. and Ng, Nicholas eds, OpenAccess Series in Informatics (OASIcs) 35: 2013 Imperial College Computing Student Workshop, London.

This list was generated on Sat Jun 6 18:43:24 2020 BST.
  • Natural language processing
  • Applied machine learning
  • Data Science
  • Cybersecurity
  • Big Data
  • Artificial Intelligence

Last updated 13 November 2019

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