Emmanuel Acheampong Asiamah is a graduating MPhil student from the Computer Engineering Department at Kwame Nkrumah University of Science and Technology (KNUST). His research interests lie at the intersection of blockchain technology, data optimisation, artificial intelligence, and the development of scalable solutions for decentralised systems.
He focused on overcoming key challenges in blockchain data storage and query efficiency. He developed a novel inter-block indexing algorithm called the Sliding Window Search Enhanced Online Gradient Descent (SWS-OGD). This algorithm efficiently maps timestamps to block heights, significantly reducing storage costs while optimising point and range queries.
Asiamah expresses his profound gratitude to the KNUST Engineering Education Project (KEEP) and the Scientific Director and members of DIPPER LAB for the financial and academic support provided.
Looking ahead, Asiamah plans to continue his research in advanced blockchain technologies, focusing on optimising blockchain usability and adoption. He also aims to explore the integration of artificial intelligence with blockchain, seeking to develop innovative solutions that further enhance the efficiency and scalability of decentralised systems, particularly in dynamic and industrial environments.