11/08/2026
Project Spotlight: Real-World Solutions 💡
Topic: Understanding How the Brain Encodes and Transmit Information Efficiently Using Behavioral Data
Today, we appreciate and highlight the outstanding research conducted by Daniel Zulu during his Level 4 studies! As an outgoing Level 5 Honours student, Daniel continues to demonstrate exceptional research capacity and innovation in applied mathematics and data science.
His research offers a brilliant, low-cost solution tailored specifically to resource-limited healthcare environments like Malawi, where neuroimaging equipment is scarce. By combining Stroop tests and visual memory assessments with information-theoretic measures, such as Information Transmission Rate (ITR) and Mutual Information, Daniel evaluated neural efficiency across epilepsy, stroke, and control groups. His Machine Learning models achieved up to 89% accuracy using Random Forest classifiers to detect neural efficiency impairments, proving that behavioral data analyzed through mathematical frameworks can serve as a viable alternative to advanced medical technology!
To all aspiring mathematicians and data scientists: math counts, and it builds the future! 🚀
Drop your appreciation for Daniel in the comments below! 👇
Mzuzu University
Mzuzu University - Faculty of Science, Technology and Innovation