🔐Ph.D. in Computer Science and Engineering
2023-07-01
University of Notre Dame
M.S. in Computer Science and Engineering
2023-08-01
2026-01-01
University of Notre Dame
M.E. in Computer Science and Technology
2021-09-01
2024-07-01
University of Electronic Science and Technology of China
B.S. in Computer Engineering
2016-10-01
2020-10-01
Kwame Nkrumah University of Science and Technology
My research develops systems that help administrators understand, secure, and preserve privacy in Internet of Things environments. I work at the intersection of network systems, security, machine learning, and large language model agents, with emphasis on transforming IoT traffic, packet captures, logs, and operational evidence into trustworthy security intelligence.
Current themes include interpretable IoT traffic analysis, transformer-based anomaly detection, retrieval-augmented security reasoning, and privacy-preserving communication for connected devices.
A causal, resource-aware IoT traffic camouflage controller that reduces device fingerprintability under explicit bandwidth and latency constraints.
Gateway-coordinated federated EEG personalization that reduces communication cost while evaluating subject-level reliability.
An AI-agent framework that converts IoT packet captures into structured, retrievable evidence for grounded traffic interpretation.
A practical IoT traffic camouflage framework that compares obfuscation mechanisms for privacy leakage reduction and overhead.
An IoT management framework combining documentation-grounded assistance, anomaly detection, and evidence-based mitigation guidance.
I passed my oral candidacy examination and advanced to Ph.D. candidacy in Computer Science and Engineering at the University of Notre Dame.
I am serving as a Program Committee Member for the IEEE International Conference on Data Mining (ICDM 2025) Demo Track.
Our work on blockchain-based EV pricing and oraclized state-of-charge estimation was published in IEEE Transactions on Intelligent Transportation Systems.
Our work on predictive contracts and blockchain-enabled recalibration for industrial networks was published in Journal of Industrial Information Integration.
I joined the Graduate Student Board at the University of Notre Dame, contributing to graduate student leadership, representation, and service.
The 14-chapter book Attribute-based Encryption (ABE): Foundations and Applications within Blockchain and Cloud Environments was published by Wiley–IEEE Press.