Jagdev Bhogal

Jagdev joined the University in 1989 and has taught modules ranging from systems analysis and design; database design and implementation; and database administration.

Jagdev is currently teaching database modules on the following courses:

• BSc (Hons) Business Information Technology
• BSc (Hons) ICT
• BSc (Hons) Computer Science
• MSc Computing
• MSc Business Computing

Jagdev teaches database theory and practice. She also teaches Data Warehousing, Business Intelligence, Data Mining and Big Data on the MSc Business Intelligence course.

Jagdev is the subject Lead for the Big Data Analytics in the Centre for Enterprise Systems.

Jagdev has been a Member of Appointments Group at UK Oracle User Group from April 2014- 2017.

• Teaching and Assessment of Databases in HE
• Semantic Web Ontologies
• Data Analytics

1986: BSc (Hons) Computer Science
1989: MPhil Expert Systems and Database Administration
2011: PhD Computer Science

Professional Certification Exams: Oracle 11g Database SQL Fundamentals (1Z0-051) Oracle 11g Database Administration (1Z0-052)

Professional Certification: Oracle Certified Associate - Oracle Database 11g Administrator

MBCS (Member status British Computer Society)
CITP (Chartered Information Technology Professional)

Her current research is looking at the use of data analytics in education and also the use of ontologies (and other semantic web technologies) in the use of intelligent media advertising.

My PhD: “Context Based Retrieval using Ontologies with Probabilistic Retrieval", Jagdev Bhogal, Informer, BCS Information Retrieval Group publication, Informer, Number 13, Winter 2004
ISSN 0950-49742004.

A review of ontology based query expansion, J. Bhogal, A. Macfarlane and P. Smith, Information Processing & Management, Volume 43, Issue 4, Pages 866-888 (July 2007)

Roadmap for Modernizing Database Curricula - Jagdev Bhogal, Sharon Cox, Kathleen Maitland HEA STEM (Computing): Teaching, Learning and Assessment in Databases, University of Hertfordshire (July 2012)

Toward an iMAS model Ontology: An Intelligent Mobile Advertising Service,  J. Bhogal, Cain Evans, S. Abu Rmeileh,, CISIS conference July 2013, Taichung, Taiwan

Bhogal, J., Macfarlane A. (2013) Ontology Based Query Expansion using a Probablistic Retrieval Model, Multidisciplinary Information Retrieval Springer Lecture Notes in Computer Science, Volume 8201, ISBN 978-3-642-41056-7 pp. 5-16

Bhogal, J., Evans, C. (2014) A Framework for Adopting Big Data, 14th International Conference on Knowledge, Culture and Change in the Organizations, Said Business School, University of Oxford, Oxford, UK, 4-5 August 2014

Bhogal, J., Moore, P. (2014) Towards Object Oriented Context Modelling – Object Oriented Relational Database Data Storage, International Workshop on Informatics for Intelligent Context-Aware Enterprise Systems (ICAES-2014) : 28th IEEE International Conference on Advanced Information Networking and Applications (AINA-2014) , Victoria, Canada, May 13 - 16, 2014

Bhogal, J. (2015), Comparative Study of Apex and SQLPlus, Proceedings of Teaching, Learning and Assessment in Databases, Birmingham City University (July 2015), ISBN: 978-1-904839-79-8

Bhogal, J., Campbell, W. (2015) An Ontological Analysis of the role of Culture within    Green IT, Third International Workshop on Informatics for Intelligent Context-Aware Enterprise Systems (ICAES-2015): 29^th IEEE International Conference on Advanced Information Networking and Applications (AINA-2015), Gwangju, South Korea, March 25-27^th 2015

Choksi, I., Bhogal, J. (2015) Handling Big Data using NoSQL, International Workshop on Informatics for Intelligent Context-Aware Enterprise Systems (ICAES-2015): 29^th IEEE International Conference on Advanced Information Networking and Applications (AINA-2015), Gwangju, South Korea, March 25-27^th 2015

Dridi, A., Gaber, M.M., Azad, R.M.A. and Bhogal, J., Scholarly data mining: A systematic review of its applications. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, p.e1395.

Hettiarachchi, H., Adedoyin-Olowe, M., Bhogal, J. and Gaber, M.M., 2020. Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media. arXiv preprint arXiv:2006.05908.

Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, J. (2019) DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. In: The 2019 International Joint Conference on Neural Networks (IJCNN), July 14-19, 2019, Budapest, Hungary. (In Press)

Dridi, A., Gaber, M.M., Azad, R.M.A. and Bhogal, J., 2019. Leap2Trend: A Temporal Word Embedding Approach for Instant Detection of Emerging Scientific Trends. IEEE Access, 7, pp.176414-176428

Campbell, W., Bhogal J. (2019), An Analysis of the Extent to which Standard Management Models encourages the Adoption of Green IT. In International Journal on Advances in Systems and Measurements, vol 12, no 1 & 2, IARIA XPS Press.

Dridi, A., Gaber, M.M., Azad, R.M.A. and Bhogal, J., 2018, October. k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. In International Conference on Discovery Science (pp. 328-343). Springer, Cham.