Research Statement

I explore computer science fundamental concepts in developing sustainable, efficient, and innovative solutions to real-world problems. Combining theoretical analysis, and computational paradigms, with deductive reasoning, my lab uses scientific experimentation to understand patterns and discover knowledge. I have broad research experience in Artificial Intelligence with specific expertise in natural language processing, computer vision, data science, and pattern recognition.

 Selected Publication Google Scholar   website

1. S Bengesi, H El-Sayed, MK Sarker, Y Houkpati, J Irungu, T Oladunni, "Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers", IEEE Access 2024
2. J Irungu, T Oladunni, A Grizzle, M Denis, M Savadkoohi, E Ososonya, "ML- ECG-COVID: A Machine Learning-Electrocardiogram Signal Processing Technique for COVID-19 Predictive Modeling", IEEE Access 2023
3. Qorib, M., Oladunni, T., Denis, M., Ososanya, E., and Cotae, P., "COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets" MDPI 2023
4. Bengazi, S., Oladunni, T., Olusegun, R., and Audu, H., "A Machine Learning - Sentiment Analysis on Monkeypox Outbreak: An Extensive Dataset to Show the Polarity of Public Opinion from Twitter Tweets." IEEE Access 2023
5. Olusegun, R., Oladunni, T., Yao, H., Bengazi, S., and Audu, H., "Text Mining and Emotion Classification on Monkeypox Twitter Dataset: A Deep Learning- Natural Language Processing (NLP) Approach" IEEE Access 2023
6. Irungu, J., Oladunni, T., Denis, M., Ososanya, E., and Muriithi, R "A CNN Transfer Learning-Electrocardiogram (ECG) Signal Approach to Predict COVID-19" IEEE International Conference on Computer and Automation Engineering (ICCAE), 2023
7. Miftahul Qorib, M., Oladunni, T., Denis, M.,and Ososanya, E. "Covid-19 Vaccine Hesitancy: Text Mining, Sentiment Analysis and Machine Learning on COVID-19 Vaccination Twitter Dataset" Journal of Expert Systems with Applications 2022
8. Oladunni, T., Stephan, J. and Coulibaly, L.A "COVID-19 Fatality Rate Classification using Synthetic Minority Oversampling Technique (SMOTE) for Imbalanced Class" IEEE 2nd International Conference on Pattern Recognition and Machine Learning 2021
9. Savadkoohi, M., Oladunni, T., and Thompson, L "Deep neural networks for human's fall-risk prediction using force-plate time series signal" Journal of Expert Systems with Applications 2021