I’m Ehizele Obinyan, an undergraduate student of Computer Science at the University of Maryland, Baltimore County in the Department of Computer Science and Electrical Engineering. I’m currently a senior pursuing a Bachelor’s degree, graduating December 2026, with experience in software engineering, teaching, and research.

My research interests lie in wearable sensor privacy, human-computer interaction, and data privacy. In the lab I’ve worked on building The One Ring, a custom IMU-equipped smart ring, and I’m currently helping develop the experimental protocol and follow-up study on what sensitive information wearable sensors can infer as people type and write. Outside the lab, I am currently working on federated learning with differential privacy for Alzheimer’s MRI staging, and I’m currently part of an INSuRE (Information Security Research and Education) team, a multi-institutional cybersecurity research program backed by the NSA, researching behavioral AI for Kubernetes security alongside NSA-affiliated mentors.

Research

• I helped build The One Ring, a 3D-printed IMU smart ring, and trained a CNN model that recognized handwritten letters from finger motion data with 71.4% accuracy in writer-dependent settings, demonstrating a real privacy risk in commercial smart rings.
• I worked on federated learning combined with differential privacy for Alzheimer’s MRI staging, studying how privacy protections affect diagnostic accuracy at the individual disease-stage level.
• I’m working with a 6-person INSuRE team, alongside NSA-affiliated mentors, to build a small Kubernetes cluster and train an isolation forest anomaly-detection model, comparing it against rule-based detection to measure what machine learning adds on top of existing NSA/CISA security guidance.