Dr Seun Ajao
Dr Seun Ajao
Senior Lecturer in Data Science
My profile
Biography
Dr. Seun Ajao is a senior lecturer (associate professor) in Data Science at Manchester Metropolitan University. Prior to joining MMU, he was course leader and senior lecturer in Data Analytics at Sheffield Hallam University. While at SHU he was co-investigator on the EU-funded Digital Innovation for Growth (DIfG) project, helping SMEs within the Sheffield City Region gain access to knowledge and resources for best practices in data science and analytics.
He received his PhD in content-aware location inference and misinformation in online social networks from Sheffield Hallam University in 2019. Prior to this in 2013, he got his MSc in Computing with web technologies from the University of Ulster, Northern Ireland.
A recipient of the prestigious ACM SIGIR/Google grant, his research paper entitled “Sentiment Aware Fake News Detection on Online Social Networks” was nominated for the best student paper award at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019) conference held in Brighton UK. His research publications on misinformation and location inference have been well cited on Google Scholar evidencing their impact and contribution to the domain.
Dr Ajao is a peer reviewer for several computer science and AI journals including Information Processing and Management (IPM), IEEE Access and Complex and Intelligent Systems (CAIS).
He is listed in the COVID-19 expert database of the UK Parliamentary Office of Science and Technology (POST). His research interests and publications include application of artificial intelligence, data analytics and social media analysis to public health messages and for misinformation / disinformation detection. He is a member of the Association for Computing Machinery (ACM).
Projects
Project Co-Investigator, EU/Digital Innovation for Growth (DIfG)
Goal: Providing data science and analytics consultancy to small and medium sized companies in the Sheffield city region, under the Data Innovation Accelerator for SMEs (DIAS).
Medical Research Council (MRC) Public Health Intervention Development Scheme (PHIND) MR/M026299/1
Goal: A Medical Research Council (MRC) funded feasibility study of the use of social media for tailoring a public health NI skin cancer prevention campaign.
Research Assistant
Teaching
High Performance Computing and Big Data
Courses
Supervision
PhD / GTA Supervision
Investigating Misinformation Propagation and Detection in Public Health Online Social Network Conversations - Mr Mkululi (Mike) Sikosana
Principal Supervisor (DoS):Dr Seun Ajao, Dr Gavin Abernethy, Prof Reza Saatchi
Research outputs
- Karagianni, A., Doh, M., and Ajao, O. 2023. A Feminist Legal Analysis of Deepfake Technology: Contextualising Its Impact as Automating Image Abuse in the EU AI Act and EU GBV Act. Journal of Porn Studies (Abstract Accepted).
- Ajao, O., Abidoye, A., Owolade, F., Awolowo, F., and Dosumu, O. 2023. Give me a hand, and I will thrive: How personalised mentorship is helping Black students progression. In British Academy of Management (BAM 2023).
- Dosumu, O., Ajao, O., Abidoye, A., and Awolowo, F. 2023. Impact of personalised mentorship on black heritage students: A case study of ASPIRE. In AdvanceHE Teaching and Learning Conference 2023.
- Ajao, O., Garg, A. & Da Costa Abreu, M., 2022. Exploring content-based and meta-data analysis for detecting fake news infodemic: a case study on COVID-19. 12th International Conference on Pattern Recognition Systems
- O’Kane, N.M., McKinley, M.C., Gough, A., Badham, J., Ajao, O., Kee, F. and Hunter, R.F., 2020. Who is Sharing Physical Activity, Diet and Weight Loss Information on Twitter? An Exploratory Thematic and Source Analysis of Tweets.
- Ajao, O., Bhowmik, D. and Zargari, S., 2019. Sentiment aware fake news detection on online social networks. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2507-2511). IEEE.
- Ajao, O., Bhowmik, D. and Zargari, S., 2018 Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) August, 2018
- Ajao, O., Bhowmik, D. and Zargari, S., 2018 Fake News Identification on Twitter with Hybrid CNN and RNN Models 9th Int’l Conference on Social Media & Society Copenhagen Business School. July 2018 ACM DoI: 10.1145/3217804.3217917
- Gough, A., Hunter, R.F., Ajao, O., Jurek, A., McKeown, G., Hong, J., Barrett, E., Ferguson, M., McElwee, G., McCarthy, M. and Kee, F., 2017. Tweet for behavior change: using social media for the dissemination of public health messages. JMIR public health and surveillance, 3(1).
- Ajao, O., Jurek, A.,Gough, A., Hunter, R., Barrett, E., McKeown, G., Hong, J., Kee, F. 2016 Feasibility Study of Social Media for Public Health Behaviour Changes, 7th Int’l Conference on Social Media & Society, Goldsmiths University of London
- Ajao, O., Hong, J. and Liu, W., 2015. A survey of location inference techniques on Twitter. Journal of Information Science, 41(6), pp.855-864. ACM DoI: 10.1177/0165551515602847
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Journal articles
Ogunleye, B., Zakariyyah, K.I., Ajao, O., Olayinka, O., Sharma, H. (2024) 'A systematic review of generative AI for teaching and learning practice.' Education Sciences, 14(6)
Sharma, H., Andhalkar, A., Ajao, O., Ogunleye, B. (2024) 'Analysing the Influence of Macroeconomic Factors on Credit Risk in the UK Banking Sector.' Analytics, 3(1) pp. 63-83.
Ogunleye, B., Zakariyyah, K.I., Ajao, O., Olayinka, O., Sharma, H. (2024) 'Higher education assessment practice in the era of generative AI tools.' Journal of Applied Learning & Teaching, 7(1)
Awolowo, I.F., Owolade, F., Abidoye, A., Dosumu, O., Ajao, O. (2023) 'Towards widening participation in post-graduate research: the ASPIRE programme.' People, Place and Policy,
Gough, A., Hunter, R.F., Ajao, O., Jurek, A., McKeown, G., Hong, J., Barrett, E., Ferguson, M., McElwee, G., McCarthy, M., Kee, F. (2017) 'Tweet for behavior change: using social media for the dissemination of public health messages.' JMIR Public Health and Surveillance, 3(1) pp. e14-e14.
Ajao, O., Hong, J., Liu, W. (2015) 'A survey of location inference techniques on Twitter.' Journal of Information Science, 41(6) pp. 855-864.
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Conference papers
Sikosana, M., Ajao, O., Maudsley-Barton, S. (2024) 'A comparative study of hybrid models in health misinformation text classification.' 9/9/2024 - 13/9/2024. Association for Computing Machinery (ACM), pp. 18-25.
Ajao, O., Awolowo, I.F., Abidoye, A., Dosumu, O., Owolade, F. (2023) 'Give me a hand, and I will thrive: how personalised mentorship is helping Black students progression.' 4/9/2023 - 6/9/2023.
Abidoye, A., Ajao, O., Awolowo, I.F., Dosumu, O. (2023) 'Impact of personalised mentorship on black heritage students: a case study of ASPIRE.' 4/7/2023 - 6/7/2023.
Ajao, O., Garg, A., Da Costa-Abreu, M. (2022) 'Exploring content-based and meta-data analysis for detecting fake news Infodemic: a case study on COVID-19.' 7/6/2022 - 10/6/2022. IEEE,
Ajao, O., Bhowmik, D., Zargari, S. (2019) 'Sentiment Aware Fake News Detection on Online Social Networks.' 2019-May. pp. 2507-2511.
Ajao, O., Bhowmik, D., Zargari, S. (2018) 'Content-aware tweet location inference using quadtree spatial partitioning and jaccard-cosine word embedding.' 28/8/2018 - 31/8/2018. IEEE, pp. 1116-1123.
Ajao, O., Bhowmik, D., Zargari, S. (2018) 'Fake News identification on Twitter with Hybrid CNN and RNN Models.' In SMSociety '18: International Conference on Social Media and Society. Copenhagen, Denmark, 18/7/2018 - 20/7/2018. New York: Association for Computing Machinery (ACM), pp. 226-230.