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Dr Seun Ajao

Course Leader MSc Data Analytics with Banking and Finance


Summary

Seun is the course leader of the MSc Data Analytics with Banking and Finance - A program jointly delivered by the Computing department and the Sheffield Business School. He also lectures at the Department of Computing. He obtained his PhD in Data Mining from Sheffield Hallam University in 2019. His expertise includes Text Mining, Content-Aware Location inference and Misinformation in Online Social Networks, Big Data Analytics (SAS, R), working with Machine Learning and Deep Learning (AI) models.

Teaching

Taught Courses:

- MSc Data Analytics with Banking and Finance
- MSc Big Data Analytics
- BSc (Hons) Business and Information and Communications Technology
- BSc (Hons) Information Technology with Business Studies

Modules taught:
- Data Analytics Tools and Techniques (Statistical Modelling)
- Data Mining & Data Warehousing
- Advanced Data Management Project
- Applied Business Intelligence

Business Information Systems & Technology 

BSc (Hons) Business and Information and Communications Technology 

BSc (Hons) Information Technology with Business Studies 

MSc Big Data Analytics 

I teach the following modules for the 2018/2019 academic session

  • Data Mining & Data Warehousing
  • Advanced Data Quality Management
  • Applied Business Intelligence

Research

Content-Aware Location Inference and Misinformation in Online Social Networks 

Publications

Journal articles

Ajao, S., Bhowmik, D., & Zargari, S. (2019). Sentiment aware fake news detection on online social networks. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). http://doi.org/10.1109/ICASSP.2019.8683170

Gough, A., Hunter, R.F., Ajao, O., Jurek, A., McKeown, G., Hong, J., ... Kee, F. (2017). Tweet for behavior change: Using social media for the dissemination of public health messages. JMIR public health and surveillance, 3 (1), e14. http://doi.org/10.2196/publichealth.6313

Ajao, O., Hong, J., & Liu, W. (2015). A survey of location inference techniques on Twitter. Journal of Information Science, 41 (6), 855-864. http://doi.org/10.1177/0165551515602847

Conference papers

Ajao, O., Bhowmik, D., & Zargari, S. (2018). Fake News Identification on Twitter with Hybrid CNN and RNN Models. SMSociety, 226-230. http://doi.org/10.1145/3217804.3217917

Ajao, O., Bhowmik, D., & Zargari, S. (2018). Content-aware tweet location inference using quadtree spatial partitioning and jaccard-cosine word embedding. Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, 1116-1123. http://doi.org/10.1109/ASONAM.2018.8508257

Presentations

Ajao, O., & Jurek, A. (2016). Feasibility Study of Social Media for Public Health Behaviour Changes. Presented at: 7th International Conference on Social Media & Society, Goldsmiths University of London, 2016

Postgraduate supervision

Research proposals welcome from interested (self-funded) PhD students

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