Samuel obtained his BSc degree from the department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ileife, Nigeria. He worked at Huawei technologies in Nigeria for a period of about 3 years, as a Radio Network Optimisation Engineer. He later obtained his MSc degree in Communications and Signal Processing from the department of Electrical and Electronic Engineering, Imperial College London.
He is currently a PhD research student in the Intelligent System and Networks research group of the same department in Imperial College London. His research interest is in resource management in wireless networks, with a focus on investigating content caching as an optimisation technique for future wireless network. His current research area is in developing intelligent online algorithms, using dynamic programming and other machine learning tools, to optimise the performance of wireless networks.
Below is a list of his publications.
→ S. O. Somuyiwa, A. Gyorgy, D. Gunduz, A reinforcement-learning approach to proactive caching in wireless networks, IEEE Journal on Selected Areas in Communications, to appear.
→ S. O. Somuyiwa, A. Gyorgy, and D. Gunduz, Multicast–aware proactive caching in wireless networks with deep reinforcement learning, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, Jul. 2019.
→ S. O. Somuyiwa, D. Gunduz, and A. Gyorgy, Reinforcement Learning for Proactive Caching of Contents with Different Demand, Int’l Symp. on Wireless Communication Systems (ISWCS), Lisbon, Portugal, Aug. 2018.