Core Research Domains
IoMT & Smart Healthcare Infrastructure
Building high-availability frameworks for predictive remote patient care. Focusing heavily on decentralized fog scheduling, multi-parametric anomaly classification, and minimizing telemetry latency metrics.
Software-Defined Network Security
Reinforcing programmatic networking fabrics against malicious manipulation. Our primary target sets isolate data-plane threats, mitigating complex SDN-targeted DDoS surges and guaranteeing controller state integrity.
Decentralized Ledger Cryptography
Weaponizing smart contract infrastructure for zero-trust authorization systems. Moving past transactional validation to engineer multi-stage validation, programmatic cross-domain handshakes, and strict flow integrity verification.
RF Energy Harvesting & Efficiency
Optimizing the lifecycle sustainability of constrained computational devices. Engineering closed-loop reinforcement engines to balance active physical sampling against micro-watt ambient energy accumulation.
Published Works & Artifacts
A Hybrid Framework for Energy-Efficient Sensor Management in RF-Powered IoMT Systems
Combines data forecasting with reinforcement learning (Double Deep Q-Networks) to dynamically schedule resource states and harvest ambient Radio Frequency signals cleanly.
EDFS: Election-based decentralized fog scheduling for IoMT
Implements a voting-based distribution configuration to balance incoming real-time sensor streams across resource-constrained edge-fog installations.
Cross-DistBlock: Blockchain-Enabled Multi-stage Flow Verification in Multi-domain Software-Defined Networks
Engineers an immutable multi-stage security validation (digital signature, non-rogue selection, voting consensus) running inside secure distributed ledger controllers.
Early Pneumonia Risk Prediction using Internet of Medical Things and Machine Learning Techniques
Deploys localized supervised intelligence frameworks across physical sensor hubs to automatically parse biometric criteria for early lung inflammation trends.
BReD: β-Distribution-Based Reputation for DDoS Attack Detection and Mitigation using SDN in VSNs
Establishes dynamic beta-distribution verification curves to calculate vehicle node malicious anomalies and isolate SDN control flooding vectors quickly.
Sdblock-iot: a blockchain-enabled software-defined multicontroller architecture to safeguard openflow tables
Protects the structural reliability of hardware OpenFlow translation switches against unauthorized modifications using an interleaved consensus scheme.
Preserving flow table integrity in OpenFlow networks through smart contract
Leverages stateful crypto contracts to dynamically police active flow directives across routing switches, mitigating false rule insertion threats.
RISP-SDN: Reputation aware IoMT service provisioning using SDN in edge/fog-based systems
Monitors computing node performance histories using software controllers to guarantee high-availability service pathing for sensitive vital stats tracking.
Performances of M2M Protocols in Internet of Medical Things
Provides empirical tracking and metrics analysis for M2M structures (MQTT/CoAP) handling critical healthcare streaming inside restrictive packet frameworks.
A blockchain-assisted authentication for SDN-IoT network using smart contract
Builds an autonomous edge validation perimeter using distributed ledgers to stop illegal network controller intrusions before they occur.
A Radio Frequency-Based Energy Harvesting Model for IoMT Device
Engineers an architectural tracking schematic for low-power medical wearables to harvest power directly from environmental ambient microwave fields.
Health condition prediction and covid risk detection using healthcare 4.0 techniques
Combines neural networks (LSTM) and Markov models to evaluate incoming body diagnostics for localized disease risk screening.
Throughput prediction in smart healthcare network using machine learning approaches
Applies predictive traffic models to avoid network packet collision and ensure stable throughput during telemetry strain events.
Resource aware fog based remote health monitoring system
Balances processing tasks between near-user node hubs and cloud architectures to maintain low latency for time-critical clinical alerts.
Health monitoring in Internet of Medical Things (IoMT) using machine learning (ML) approaches
Evaluates machine learning classification setups to safely distinguish critical vs normal physiological indicators on streaming patient hardware.