Zacheous O. Aasa is a researcher specializing in 6G Wireless Networks, with a core focus on Reconfigurable Intelligent Surfaces (RIS) and Integrated Sensing and Communication (ISAC). Currently collaborating with the Department of Engineering at Manchester Metropolitan University, his work leverages Multi-Agent Reinforcement Learning (MARL) to optimize high-dimensional wireless environments. His research interests include decentralized optimization using MA-TD3 algorithms, stochastic channel modeling, and the mathematical derivation of sensing accuracy via the Cramér-Rao Lower Bound (CRLB). He is dedicated to developing 'Green 6G' infrastructure that balances spectral efficiency with energy sustainability. Zacheous has a growing track record of high-impact publications, including work in Springer's Discover Electronics and various IEEE venues. He is an active member of the global research community, focused on bridging the gap between theoretical AI frameworks and real-world telecommunication deployments