Judith Nkechinyere Njoku, Ph.D.

I am an Engineering researcher specializing in digital twins, computer vision for autonomous vehicles, explainable AI (XAI), and machine learning. I develop advanced digital twin systems for batteries, autonomous vehicles, bridges, smart infrastructure, drones, and complex environments. My work bridges real-world sensing, immersive simulations, and intelligent decision-making to create systems that are adaptive, transparent, and reliable.

My research extends into the metaverse and immersive simulations, where I design interactive, high-fidelity digital environments for testing, training, and optimization across multiple industries. Through these digital twins, I enhance operational efficiency, sustainability, and real-time decision support.

I am equally passionate about autonomous vehicle intelligence, particularly computer vision pipelines, sensor fusion, perception in challenging conditions, and the creation of explainable decision-making models. My work emphasizes building AI systems that are interpretable, robust, and aligned with human expectations, especially in safety-critical domains such as mobility and smart infrastructure.

At the core of my philosophy is a deep commitment to ethical, responsible, and trustworthy AI. I believe that AI innovations must prioritize transparency, fairness, and accountability, especially as digital twins and intelligent systems become embedded in everyday life, transportation, and community infrastructure.

Combining multidisciplinary expertise and a forward-thinking approach, I am driven to create technologies that positively impact communities and shape a more intelligent, resilient, and equitable future.

Together, let’s pioneer responsible, data-driven innovations for a better tomorrow.