Publications

ViT-Xplain: A Transparent Deepfake Detector for Consumer Electronics Based on Attention and Explainable AI

An explainable deepfake-detection framework using vision-transformer representations and attention-based interpretation to improve transparency in manipulated-media classification.

Contribution: Model development, explainability pipeline, and evaluation

Engine Failure Prediction on Large-Scale CMAPSS Data Using Hybrid Feature Selection and Imbalance-Aware Learning

A predictive-maintenance approach combining feature-selection methods and imbalance-aware learning for early engine-failure prediction on large-scale sensor data.

Contribution: Feature engineering, model development, and result analysis

Smart Predictive Maintenance: A TCN-Based System for Early Fault Detection in Industrial Machinery

A temporal-convolutional approach for identifying early fault patterns in industrial-machinery sensor data.

Contribution: Model development, experimental design, and evaluation

Secure and Differentially Private Edge-Cloud Federated Learning Framework for Privacy-Preserving Maritime AIS Intelligence

An edge-cloud federated-learning framework designed to support collaborative maritime intelligence while protecting distributed data.

Contribution: System architecture, experimental design, and evaluation

Evaluating Routing Stability and Coordination in Swarm-Based Multi-Agent Task-Oriented Dialogue Systems

An evaluation of routing stability, task coordination, and communication behavior in swarm-based multi-agent dialogue systems.

Contribution: Experimental design, evaluation, and result analysis

ViT-Xplain: A Transparent Deepfake Detector for Consumer Electronics Based on Attention and Explainable AI

An explainable deepfake-detection framework using vision-transformer representations and attention-based interpretation to improve transparency in manipulated-media classification.

Contribution: Model development, explainability pipeline, and evaluation

Engine Failure Prediction on Large-Scale CMAPSS Data Using Hybrid Feature Selection and Imbalance-Aware Learning

A predictive-maintenance approach combining feature-selection methods and imbalance-aware learning for early engine-failure prediction on large-scale sensor data.

Contribution: Feature engineering, model development, and result analysis

Smart Predictive Maintenance: A TCN-Based System for Early Fault Detection in Industrial Machinery

A temporal-convolutional approach for identifying early fault patterns in industrial-machinery sensor data.

Contribution: Model development, experimental design, and evaluation

Secure and Differentially Private Edge-Cloud Federated Learning Framework for Privacy-Preserving Maritime AIS Intelligence

An edge-cloud federated-learning framework designed to support collaborative maritime intelligence while protecting distributed data.

Contribution: System architecture, experimental design, and evaluation

Evaluating Routing Stability and Coordination in Swarm-Based Multi-Agent Task-Oriented Dialogue Systems

An evaluation of routing stability, task coordination, and communication behavior in swarm-based multi-agent dialogue systems.

Contribution: Experimental design, evaluation, and result analysis

A Biologically Inspired Intelligent and Energy Efficient Route Optimization Clustering Algorithm for Internet of Vehicles (IoV)

An Efficient Intrusion Detection System Using Domain-Aware Meta-Learning with Adapter-Based Few-Shot Adaptation in Vehicular Ad-Hoc Networks (VANETs)

Smart sensing-enabled risk-aware nitrogen prescriptions via conformal profit bounds for precision agriculture

Early-warning industrial fault detection based on physics-guided residual learning and calibrated CRNNs

Risk-Aware Federated Hierarchical Reinforcement Learning for cooperative CAV Safety in Intelligent Transportation System

Calibrated Deep-Learning Risk Indexing and Latent Behavioural Profiling for Occupational Mental-Health Risk Assessment

Integrated Sensing and Edge Fusion for Consumer Vehicle Road Anomaly Monitoring

A Link Quality Indicator (LQI) Based Closed-Form Localization Framework for Vehicular Ad Hoc Networks (VANETs)

Predicting Financial Success Through ESG Metrics: Leveraging Machine Learning and Explainable AI

Federated Cloud Intelligence: A Privacy-Preserving, Trustworthy and Sustainable Framework for Multi-Cloud AI

Edge–Cloud Predictive Maintenance Models for Industry 4.0