Research & Publications

Peer-reviewed work spanning IoMT security, antenna design, and AI/ML. IEEE + SCOPUS indexed.

CRC Press (Taylor & Francis Group)Published2026

Implementing Secure BLE Signal Transmission through Antenna Design Techniques in Wearable IoT Devices

Co-authored research presented at the 12th International Conference on Microelectronics, Circuits and Systems (Micro2025) at JGEC. Presents a cross-layer approach to enhancing BLE security in wearable IoT devices using antenna design techniques.

Bluetooth LEAntenna DesignWearable IoTSecurity
Read paper ↗
IEEEPublished2025

Optimizing Sensory Data Accumulation in IoMT Framework Using Energy-Efficient Compressed Sensing Techniques

Proposes an energy-efficient data accumulation method for IoMT networks using compressed sensing and threshold-based cloud transmission. Achieved over 98% data reconstruction reliability and up to 8.91% lower energy usage. Presented at IIT Rourkela.

IoMTHealthcareCompressed SensingEnergy Efficiency
Read paper ↗DOI: 10.1109/ISED63599.2024.10957180
Under ReviewSubmitted2025

A High-Performance, Ultra-Wideband Microstrip Patch Antenna with Near-Ideal Impedance Matching for 5G Ka-Band Applications Operating at 26 GHz

Presents a compact microstrip patch antenna for 5G Ka-band applications at 26 GHz using patch slotting, inset feeding, and Rogers 92 mL substrate. CST Studio Suite 2024 simulations achieved ~-39.1 dB return loss, VSWR of 1.02, and 5.731 GHz bandwidth.

5GKa-BandMicrostrip Antenna26 GHzCST
Under ReviewSubmitted2025

Explainable Machine Learning-Based Prediction of S11 for Slotted Patch Antenna Optimization Using Extra Trees Regressor

Proposes an explainable ML framework for predicting S11 in slotted patch antennas. Using 1,266 samples and engineered features, the Extra Trees Regressor achieved R² = 0.9967, RMSE = 0.1696, with SHAP identifying dominant design features.

Machine LearningXAIAntenna DesignS11SHAP
Under ReviewSubmitted2025

Foundation of Quantum Computing and Edge AI in Healthcare

Examines quantum computing and AI in healthcare - quantum machine learning for drug discovery, genomics, diagnostic imaging, and quantum cryptography for patient-data security.

Quantum ComputingEdge AIHealthcareQuantum ML
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