Data Science
Data can provide insights to shape decision-making, power scientific innovation, improve business operations and inform government policy. But it takes state-of-the-art statistical and computational m…
Senior Lecturer in Data Science
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).
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
High Performance Computing and Big Data
Data can provide insights to shape decision-making, power scientific innovation, improve business operations and inform government policy. But it takes state-of-the-art statistical and computational m…
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
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)
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.
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.
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.