Dr Adeyinka Akanbi
Senior Lecturer
Qualifications: PhD (CUT) | MSc (JNTUH) | BTech (LAUTECH)
Professional Background
Dr Akanbi is a Senior Lecturer at the Central University of Technology, Free State, with more than eight years of experience in teaching Information Technology. His research and professional experience span artificial intelligence, big data, the Internet of Things, semantic technologies, machine learning, data integration, systems interoperability and data security.
His work includes the application of supervised and unsupervised machine learning techniques to structured and unstructured data, with particular emphasis on environmental monitoring systems. His current research interests include responsible artificial intelligence, machine intelligence systems, data security and big data analytics.
Dr Akanbi has published in international journals and conference proceedings and is a member of the Association for Information Systems (AIS), IEEE and the South African Institute of Computer Scientists and Information Technologists (SAICSIT).
His professional certifications include Microsoft Certified Professional (MCP), Microsoft Certified Solutions Associate (MCSA), Microsoft Certified IT Professional (MCITP), Microsoft Certified Azure Fundamentals, Red Hat Certified System Administrator (RHCSA) and Red Hat Certified Engineer (RHCE).
Areas of Expertise
- • Internet of Things
- • Big Data
- • Semantic Technologies
- • Artificial Intelligence
- • Blockchain
Selected Publications
- • Akanbi, A. & Masinde, M. (2020). A Distributed Stream Processing Middleware Framework for Real-Time Analysis of Heterogeneous Data on Big Data Platform: Case of Environmental Monitoring.
Sensors, 20, 3166.
- • Agunbiade, O.Y., Dehinbo, J.O., Zuva, T. & Akanbi, A.K. (2016). Road Detection Technique Using Filters with Application to Autonomous Driving System.
International Journal of Computing, Communication and Instrumentation Engineering (IJCCIE), 3(2), pp. 441-448.
- • Agunbiade, O.Y., Ngwira, S.M., Zuva, T. & Akanbi, A.K. (2016). Improving Ground Detection for Unmanned Vehicle Systems in Environmental Noise Scenarios.
International Journal of Advanced Manufacturing Technology, 84(9-12), pp. 2719-2727.
- • Akanbi, A. (2014). LB2CO: A Semantic Ontology Framework for B2C eCommerce Transaction on the Internet.
International Journal of Research in Computer Science, 4(1), pp. 1-9.
- • Akanbi, A. & Agunbiade, O.Y. (2014). Integration of a City GIS Data with Google Map and Google API for a Web-Based 3D Geospatial Application.
International Journal of Science and Research, 2(11), pp. 200-203.
Books and Book Chapters
- • Akanbi, A. (2022). Towards a Microservice-Based Middleware for a Multi-hazard Early Warning System. In International Conference on Emerging Technologies for Developing Countries, pp. 179-191. Springer Nature Switzerland.
- • Akanbi, A.K. & Masinde, M. (2016). A Framework for Accurate Drought Forecasting System Using Semantics-Based Data Integration Middleware. In e-Infrastructure and e-Services for Developing Countries. Springer Cham.
Conference Proceedings & Presentations
- • Ramahlosi, M.N., Madani, Y. & Akanbi, A. (August 2023). A Blockchain-Based Model for Securing Data Pipeline in a Heterogeneous Information System. 44th Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT 2023), pp. 1-6.
- • Madani, Y., Akanbi, A., Mbele, M. & Masinde, M. (August 2023). A Scalable Semantic Framework for an Integrated Multi-Hazard Early Warning System. International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), pp. 1-6. IEEE.
- • Akanbi, A. (November 2020). Estemd: A Distributed Processing Framework for Environmental Monitoring Based on Apache Kafka Streaming Engine. 4th International Conference on Big Data Research, pp. 18-25.
