Professional Bio:
Leonard Wakoli is a Senior Lecturer in the Department of Information Technology, Faculty of Computing and Information Technology at Multimedia University of Kenya. He holds a PhD in Information Technology Security and Audit from Jaramogi Oginga Odinga University of Science and Technology (JOOUST).
His research interests are in the areas of Block-chain technology & Artificial Intelligence (AI): Use of machine learning and deep learning to optimize the security in the cyberspace. Leonard has published several scholarly papers in peer-reviewed Journals and has authored a Python Programming textbook that is due for publication. He has successfully supervised over 10 Master of Science Students and currently supervising 3 PhD Students and 7 Master of Science in Computer Science, Information Technology and IT Security in various universities in Kenya (both public and private).
Leonard has vast experience in the use of various data analytics and visualization tools such as SPSS, Amos SPSS, WarpPLS-SEM, MS Power BI, and Tableau, together with machine learning and deep learning algorithms in model development.
Leonard has hands-on experience in Modelling AI tools using popular machine learning algorithms such as Naive Bayes Classifier, K-Means Clustering, Support Vector Machine, Random Forests, Artificial Neural Networks Algorithm (ANN) and XGBoost.
He is also proficient in the use of the following Deep learning algorithms: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs) and Transformer Networks. His deep learning Python framework of choice is PyTorch.
Academic Qualifications
Certifications
Email: lwakoli@mmu.ac.ke / dlwakoli@gmail.com