Research Publications

A curated collection of my academic and research contributions — spanning cybersecurity threat detection, web application security, privacy-preserving AI systems, and emerging attack surfaces. Each paper reflects work done at the intersection of rigorous research and real-world security engineering.

Showing 4 of 4 publications

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Published
XSSCSPSPA SecurityBrowser APIs

Hardware-Aware Co-Design Framework for Efficient TinyML Deployment

TinyML-Enabled IoT Systems: Recent Advancements in Tiny Machine LearningJune, 2026

This work examines a hardware-aware co-design approach for efficient TinyML deployment, considering model and hardware choices together to support machine-learning workloads on resource-constrained edge devices.

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Published
TinyMLFederated LearningSmart HealthcareEdge AI

Offline-First TinyML–Federated Learning Framework for Privacy-Preserving Smart Healthcare

TinyML-Enabled IoT Systems: Recent Advancements in Tiny Machine LearningJune, 2026

This chapter presents an offline-first TinyML and federated learning framework for smart healthcare environments. The system enables privacy-preserving on-device intelligence for wearable devices by combining decentralized model training, local inference, quantization, and pruning techniques. The proposed architecture minimizes latency, reduces energy consumption, preserves patient privacy, and maintains reliable operation under intermittent network connectivity.

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Published
BlockchainInternet of Things (IoT)SecuritySmart ContractsDecentralized Identity (DID)

Blockchain Based IoT Security: A Comprehensive Review of Architectures, Challenges and Future Directions

2025 International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)December, 2025

The paper reviews security and privacy challenges in IoT environments and discusses blockchain-based approaches for securing connected systems, with attention to architectures, implementation challenges, and future research directions.

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Published
BlockchainCloud SecurityAccess ControlThreat Modeling

Blockchain-Based Security Architectures for Trusted Cloud Data Sharing: A Systematic Review

TSM Journal, Volume 10, Issue 4April, 2026

This systematic review examines blockchain-enabled secure cloud data sharing frameworks published between 2023 and 2025. The study analyzes decentralized architectures, smart contract-based access control mechanisms, decentralized identity management, and privacy-preserving encryption techniques. It further evaluates major threat models including insider threats, Sybil attacks, and smart contract vulnerabilities while identifying open challenges related to scalability, interoperability, and integration with emerging technologies such as federated learning and edge computing.

Find More on Google Scholar

My full publication record — including co-authored work, conference presentations, and ongoing manuscripts — is available on Google Scholar.