Dr. Mussa A. Stephano is an emerging researcher in mathematical epidemiology and computational modeling, with a strong focus on infectious disease dynamics and complex biological systems. His scholarly contributions include 13 published documents with a total of 61 citations, reflecting growing academic impact, and an h-index of 5. His research primarily explores lymphatic filariasis modeling, incorporating deterministic and stochastic approaches, seasonal variability, and the role of asymptomatic carriers in disease transmission. He has also applied advanced computational techniques such as artificial neural networks and the Levenberg–Marquardt algorithm to enhance predictive modeling. Additionally, his work extends to prey–predator dynamics and zoonotic diseases, demonstrating interdisciplinary relevance. Through publications in reputed journals, his research contributes to improving disease control strategies and advancing the understanding of epidemiological systems using mathematical and computational frameworks.