Dr Oluwatobi Ezekiel Baiyekusi

• Artificial Intelligence
• Wireless Communications
• Signal Processing
• Mobile Transmission Network Design and Deployment

• PhD in Wireless Communications
• MSc in Telecommunication Engineering
• BEng in Electrical Engineering

Institute of Electrical and Electronics Engineers (IEEE)

Research interest in artificial intelligence in Health Tech, Open RAN communications, Joint Sensing and Communications, adversarial attacks on AI-driven wireless networks.

MSc in Artificial Intelligence

• Haitham Mahmoud, Tawfik Ismail, Tobi Baiyekusi, Moad Idrissi, “Advanced Security Framework for 6G Networks: Integrating Deep Learning and Physical Layer Security,” in Network.
• H. Mahmoud, T. Baiyekusi, U. Daraz, D. Mi, Z. He, C. Lu and M. Guan, “Machine Learning-Based Spectrum Allocation Using Cognitive Radio Networks,” 2024 International Joint Conference on Neural Networks.
• O. Baiyekusi, H. Mahmoud, D. Mi, J. Arshad, F. Adeyemi-Ejeye and H. Lee, “A ML-based Spectrum Sharing Technique for Time-Sensitive Applications in Industrial Scenarios,” 2024 IEEE International Wireless Communications & Mobile Computing Conference, Cyprus.
• H. Mahmoud, T. Baiyekusi, U. Daraz, D. Mi, Z. He, C. Lu and M. Guan, “Cooperative Spectrum Sensing with Machine Learning Approaches in Cognitive Radio Networks for IoMT Applications,” 2024 IEEE International Conference on Industrial Technology, Bristol, UK.
• O. Baiyekusi, H. Lee and K. Moessner, "Node number estimation based on ML for Multi-operator unlicensed band sharing to extend indoor connectivity," 2023 IEEE Wireless Communications and Networking Conference, Glasgow, Scotland, UK 2023.
• O. Baiyekusi, H. Lee and K. Moessner, "ML-based estimation of the number of devices in industrial networks using unlicensed bands," 2022 ICTC 13th International Conference on ICT Convergence, Jeju Island, Korea, 2022.
• O. Baiyekusi, S. Vahid and K. Moessner, "A Time-Based Fairness Approach for Coexisting 5G Networks in Unlicensed Bands," 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, NSW, 2017, pp. 1-5.

Scoping, designing and developing multiple AI projects for Health Technology companies and health service providers. Projects cover disease detection algorithms, image processing algorithms, predictive modelling among others.

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