Esmond is a researcher at DIPPER Lab and a Mphil student in Computer Engineering at KNUST. He holds a Bachelor of Science in Computer E...
Esmond is a researcher at DIPPER Lab and a Mphil student in Computer Engineering at KNUST. He holds a Bachelor of Science in Computer Engineering from KNUST, where his academic excellence earned him a Provost’s Award for Best Student in Engineering. His professional focus sits at the intersection of reinforcement learning, edge intelligence, and the development of resilient technological solutions for resource-constrained environments. During his undergraduate studies, he co-developed a Smart IoT Health Monitoring System, a low-cost mobile and hardware solution designed to help low-income families monitor cardiovascular health in real time, an experience that solidified his interest in technology as a tool for social equity
At DIPPER Lab, Esmond contributes to applied research that bridges the gap between computational theory and field-ready innovation. His work includes the development of a Smart Indigenous Weather App, which synchronizes meteorological data with traditional ecological wisdom to assist rural farmers. Currently, his research focuses on making reinforcement learning "lighter" by developing energy-efficient algorithms that allow intelligent agents to operate autonomously on edge devices without exhaustive power consumption. He aspires to deploy these scalable, sustainable systems to empower underserved communities, ensuring that sophisticated intelligence reaches rural clinics and agricultural nodes where resources are most limited.
