Emmanuel Adetiba

Covenant University, Durban University of Technology

Papers

Total Citations

H-Index

About

Emmanuel Adetiba is a forward-thinking researcher whose work sits at the intersection of artificial intelligence, robotics, and social network analysis. His primary research areas include medical robotic telepresence, intelligent forecasting systems, and the detection of automated social media actors. Adetiba’s most cited work, “Cost-Effective Medical Robotic Telepresence Solution using Plastic Mannequin” (2017, 7 citations), addresses a critical healthcare access gap by proposing an affordable robotic telepresence system for rural communities, demonstrating a commitment to practical, low-cost innovation. In the realm of social computing, his study “Identification of Bots and Cyborgs in the #FeesMustFall Campaign” (2022, 3 citations) applies machine learning to uncover automated manipulation in online activism, contributing to the understanding of digital influence in sociopolitical movements. Additionally, his development of the “Intelligent Foreign Exchange Robot (i-FOREXBOT)” (2017, 2 citations) showcases expertise in neural network-based financial forecasting. Though his citation counts are modest, Adetiba’s work is notable for its interdisciplinary reach—spanning healthcare, finance, and social media—and its focus on real-world, scalable solutions. His research reflects a dedication to leveraging AI for societal benefit, making him a promising figure in applied intelligent systems.