معرفی
Sumaiya Shomaji is an Assistant Professor in Electrical Engineering and Computer Science at the University of Kansas School of Engineering. Her research integrates machine learning, computer vision, and hardware security to develop innovative solutions in biometric authentication, wearable healthcare, and electronic supply chain security.
She has created advanced frameworks like the Hierarchical Bloom Filter for efficient biometric identification and wearable ultrasound devices for cardiovascular monitoring. Current projects include human-to-device authentication paradigms, nano-electromechanical tags, and blockchain applications for supply chain integrity. Her work emphasizes security, efficiency, and scalability for IoT applications.
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