Short Bio

I am a Distinguished Postdoctoral Fellow in the Secure Sensing and Learning Research Lab and the Center for Rural Community Resilience and Innovation at the University of Wyoming. I develop trustworthy AI and digital twins for energy, transportation, agriculture, and infrastructure.

I earned a BEng in Petroleum Engineering from the Federal University of Technology, Owerri, an MSc in Electronics Engineering from Kumoh National Institute of Technology, and a PhD in IT Convergence Engineering from Kumoh National Institute of Technology. In South Korea, I worked in the Future Communications Systems Laboratory, the ICT Convergence Research Center, and the Networked Systems Laboratory, moving from wireless communications to digital twins and battery management.

My research combines physical models, simulation, machine learning, and visualization to help people understand complex systems and make better decisions under real-world constraints. I am now studying how intelligent systems can recognize unreliable evidence, continue monitoring when needed, and defer consequential decisions to people.

Research

All projects
  • OmniRestore: Efficient adverse-weather image restoration, presented at CVPR Workshops 2026.
  • BatteryMetrix: Predictive, explainable, and secure digital twins for electric-vehicle batteries.
  • PANDA: A predictive parking digital twin presented at ASCE i3CE 2026.

Selected Publications

Full publication list

Google Scholar profile · 1,400+ citations

Teaching Philosophy

I teach by connecting foundations to authentic systems. Students should understand why a method works, test where it fails, communicate its assumptions, and apply it responsibly. I emphasize staged projects, reproducible workflows, design reviews, and learning from failure.

During my MSc, I helped teach Introduction to Probability. During my PhD, I supported Real-Time Systems. I also developed MATLAB hardware-in-the-loop teaching materials and a research-writing module for graduate students.

Teaching experience and courses

Mentorship Philosophy

I aim to develop independent thinkers, not replicas of the mentor. I help researchers frame consequential questions, make defensible technical choices, interpret evidence honestly, and communicate their contributions clearly. My mentorship adapts to each person while maintaining high standards and widening access to opportunity.

At Wyoming, I mentor six interdisciplinary research teams across graduate, undergraduate, and high-school levels. I also led two international research internship cohorts, using clear milestones and feedback to help emerging researchers take ownership of their work.

Research Philosophy

Three principles guide my work: intelligibility, communicating evidence and uncertainty; integration, connecting models, sensors, simulation, and human expertise; and impact, improving consequential systems while broadening participation in research.

Words I live by

These are two of my favorite quotes. Van Gogh's words remind me to act despite self-doubt; Schuller's remind me that achievement grows from patient, often unseen preparation. I share both with students and mentees because I hope they will find the courage to begin and the resolve to keep going.

“If you hear a voice within you say, ‘You cannot paint,’ then by all means paint, and that voice will be silenced.”

Vincent van Gogh, adapted from a letter to Theo van Gogh, October 28, 1883

“Spectacular achievement is always preceded by unspectacular preparation.”

Robert H. Schuller

Service and Community

I joined WomenTech Network in May 2020 and became a Global Ambassador that June. I joined the National Postdoctoral Association on March 20, 2026, and volunteer as a Content Developer. From 2025 to 2026, I coordinated seminars for the Prof. Cosmas Daughters Forum, including speaker outreach and event moderation. I also mentor women entering and returning to technology and research careers.

For collaboration, talks, or mentorship, please email me.