Congratulations Nana Kwadwo Akrasi-Mensa

Nana Kwadwo Akrasi-Mensah is a graduating PhD student from the Computer Engineering Department at KNUST.

His research interests are deep reinforcement learning, neural combinatorial optimisation, distributed ledger technologies (DLTs) and industrial internet of things (IIoT).

His PhD work explored neural combinatorial optimisation methods, focusing on deep reinforcement learning (DRL) and attention-based models to reduce storage overhead in blockchain-IIoT applications.

The proposed solutions from his work target critical sectors, such as food supply chain management, allowing smaller stakeholders to participate, improving traceability and transparency.

Nana Kwadwo is very grateful to his supervisors, Dr. Andrew Selasi Agbemenu, Prof. Eric Tutu Tchao and Dr. Eliel Keelson, for guiding and shaping his research and their relentless encouragement.

The KNUST Engineering Education Project (KEEP) has been instrumental in his academic success by providing financial support. He is very grateful for the support and encouragement received from the staff and management of KEEP.

Nana Kwadwo intends to continue his work in neural combinatorial optimisation and blockchain-IIoT scalability, further exploring deep learning paradigms for constrained environments.