Area of research
Information Systems · Computer Networks and Communications
Research interest
Research interests include Software Engineering Research, Software Engineering Techniques and Practices, IoT and Edge/Fog Computing, and Software Reliability and Analysis Research.
Data as an Asset: Economic Traits, Market Dynamics, and Monetization Challenges
AI Governance for Digital Sovereignty in Smart City Surveillance
Safeguarding Digital Sovereignty with Privacy-Preserving Edge Computing: A Hybrid Deep Learning Framework
RequiBERT: Transfer learning for software requirements classifications
Adaptive 1-D CNN Using LSelect Feature Selection for Predicting Software Faults
Artificial Intelligence in Context of Digital Sovereignty
Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI
A comprehensive defense approach of deep learning-based NIDS against adversarial attacks
Black-box adversarial attack defense approach: An empirical analysis from cybersecurity perceptive
Nested deep learning with learned network embeddings for software defect prediction
Trust in Digital Sovereignty: A Review of Security, Privacy, and Governance Challenges
Federated Graph Attention Neural Networks (FeGAN) for Privacy-Preserving Crop Disease Detection
Analyzing the effect of developer’s emotion on the quality of open-source projects
Correction: A Model for Estimating Resiliency of AI-Based Classifiers Defending Against Cyber Attacks
CorrBoost: a feature selection technique and utility of tabular deep neural networks in software fault prediction
Smart City Surveillance: Governance Challenges in Balancing Privacy, Security, and Digital Sovereignty
MLAPW: A framework to assess the impact of feature selection and sampling techniques on anti-pattern prediction using WSDL metrics
Cyber Security in Healthcare Systems: A Review of Tools and Attack Mitigation Techniques
Predicting Software Refactoring With a Reinforcement Learning Framework Using Deep Q Network
Empowering Digital Sovereignty
Federated AIoT Framework for Privacy-Preserving Smart Grid Management
Human-Centric AI in Digital Transformation and Entrepreneurship
Machine learning with multimodal neuroimaging data to classify stages of Alzheimer's disease: a systematic review and meta-analysis.
Computer-aided diagnosis of breast cancer from mammogram images using deep learning algorithms
Federated Bayesian optimization XGBoost model for cyberattack detection in internet of medical things
Adversarial attack defense analysis: An empirical approach in cybersecurity perspective
IDS-Anta: An open-source code with a defense mechanism to detect adversarial attacks for intrusion detection system
Artificial Intelligence of Things for Achieving Sustainable Development Goals
Enhancing image data security using the APFB model
AIoT and Its Trust Models to Enhance Societal Applications Using Intelligent Technologies