Omowunmi Mary Longe

University of Johannesburg, Federal University of Technology Owerri

Papers

Total Citations

H-Index

About

Omowunmi Mary Longe is a pioneering researcher at the intersection of cyber-physical systems, intelligent robotics, and energy-efficient IoT design. Her work focuses on developing smart, reliable, and socially impactful robotic solutions for mission-critical sectors including healthcare, assistive technology, and home automation. Longe’s major contributions include the introduction of the “WearROBOT” platform—an energy-conserving wearable obstacle detection robot for the visually impaired, which leverages LP multi-commodity graph optimization to enhance battery life and real-time environmental awareness. She also advanced the field with “ASM-ROBOT,” a cyber-physical home automation controller that integrates memristive reconfigurable state machines for low-power, AI-driven process computation. Her most cited work, “Smart deployment of IoT-TelosB service care StreamRobot,” addresses reliability and security vulnerabilities in open-source IoT platforms through software-defined optimization, earning 19 citations. With a research portfolio that bridges hardware design, machine circuit learning algorithms, and ethical AI, Longe is shaping the next generation of autonomous, human-centric robots. Her contributions are particularly notable for combining rigorous engineering with tangible assistive and healthcare applications, positioning her as a rising leader in sustainable and intelligent robotic systems.