Publications

▸ 2026

Unal et al. (2026). SAFE-FL: Secure and Adaptive Federated Encryption for Energy-efficient Learning. IEEE Transactions on Green Communications and Networking.
Unal et al. (2026). AVSim-Cyber: A Multi-Domain Cyberattack Simulation and Intrusion Detection Framework for Autonomous Vehicles. IEEE International Workshop on Metrology for Automotive (MetroAutomotive).
Unal et al. (2026). DustTransBEV: BEV Transformer Dust Cleaning for Autonomous Driving LiDAR Systems. IWCMC 2026.
Unal et al. (2026). Novel Defense Strategies for Concurrent Data and Model Poisoning Attacks in Federated Learning. Knowledge Based Systems.
Unal et al. (2026). Concept-Drift Aware and Obfuscation-Resistant Federated Learning for Android Malware Detection. IEEE ICMI 2026.
Unal et al. (2026). Robust Android Malware Detection Against Obfuscation and Adversarial Attacks Using RGB Markov Images and Deep Ensemble Learning. Knowledge Based Systems.
Nhlabatsi et al. (2026). Assessing the Robustness of Federated Learning Aggregation Techniques Against Diverse Poisoning Attack. ICT for Intelligent Systems.
Nhlabatsi et al. (2026). A Comprehensive Review of Deep Reinforcement Learning Applications from Centralized Power Generation to Modern Energy Internet Frameworks. Renewable and Sustainable Energy Reviews.
Arsalan et al. (2026). From Pixels to Practice: A Scientometric and Systematic Review of Computer Vision for Clinical Robotics. Advanced Robotics.
Arsalan et al. (2026). Skin Cancer Classification Using a Borderline-SMOTE Enhanced Neural Network Model on Dermoscopic Images. Biomedical Signal Processing and Control.
Arsalan et al. (2026). Morphology-Aware Deep Features and Frozen Filters for Surgical Instrument Segmentation with LLM-Based Scene Summarization. Journal of Clinical Medicine.
Arsalan et al. (2026). MiMics-Net: A Multimodal Interaction Network for Blastocyst Component Segmentation. Diagnostics.
Arsalan et al. (2026). Automated Detection and Grading of Renal Cell Carcinoma in Histopathological Images via Efficient Attention Transformer Network. Medical Sciences.
Arsalan et al. (2026). Boundary-Responsive Differentiable Gating for Superpixel-Based Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Arsalan et al. (2026). Decoupling Vision and Reasoning: A Data-Efficient Pipeline for Surgical VQA. Medical Imaging with Deep Learning (MIDL).

▸ 2025

Unal et al. (2025). A Cyber-Physical Attack Dataset for UAV Swarms: Taxonomy, Simulation Framework, and Experimental Benchmarking. International Conference on Future Networks and Distributed Systems.
Unal et al. (2025). A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems. IEEE Transactions on Consumer Electronics.
Unal et al. (2025). A Blockchain-Enabled Zero-Trust Security Architecture for Securing Internet of Energy Systems. IEEE Network.
Unal et al. (2025). IRS-Enhanced UAV Communication Networks: Securing Data With Hybrid Genetic and Gradient Descent Algorithms. IEEE WCNC.
Unal et al. (2025). Large Language Models (LLM) in Industry: A Survey of Applications, Challenges, and Trends. HONET.
Unal et al. (2025). Network Forensics: Techniques, Challenges, and Incident Response. ISDIA 2025.
Unal et al. (2025). Secure UAV-IRS Communication: A Hybrid Genetic Algorithms and Gradient Descent Approach. IEEE PIMRC.
Nhlabatsi et al. (2025). Privacy-Preserving Energy Optimization via Multi-Stage Federated Learning for Micro-Moment Recommendations. Sustainable Energy, Grids and Networks.
Nhlabatsi et al. (2025). Smart Plug for Real-Time Energy Monitoring and Optimization through Micro-Moments with Semi-Supervised Federated Learning. Results in Engineering.
Nhlabatsi et al. (2025). How Demographic and Appearance Cues of a Potential Social Engineer Influence Trust Perception and Risk-Taking Among Targets? Information & Computer Security.
Nhlabatsi et al. (2025). Adaptive Appliance-Level Anomaly Detection Using Regularization and Replay Continual Learning Methods. International Conference on Digital Age & Technological Advances for Sustainable Development.
Nhlabatsi et al. (2025). Digital Dependency and Security Risk: Investigating the Connections Between Fear of Missing Out, Problematic Social Media Use, and Vulnerability Perceptions. Journal of Technology in Behavioral Science.
Nhlabatsi et al. (2025). Enhancing Helios for Elections at Qatar University. International Conference on Financial Cryptography and Data Security.
Nhlabatsi et al. (2025). Assessing the Robustness of Federated Learning Aggregation Techniques Against Diverse Poisoning Attack Strengths. ICT for Intelligent Systems.
Nhlabatsi et al. (2025). Does Security Attitude Really Predict Susceptibility to Persuasion Tactics in Social Engineering Attempts? Information & Computer Security.
Nhlabatsi et al. (2025). Enhancing Security and Performance in Live VM Migration: A Machine Learning-Driven Framework With Selective Encryption. Expert Systems.
Nhlabatsi et al. (2025). How Do Gender and Age Similarities with a Potential Social Engineer Influence One’s Trust and Willingness to Take Security Risks? International Journal of Information Security.
Arsalan et al. (2025). Pool Free Rapid Segmentation Network (PFRS-Net) to Detect Human Blastocyst Compartments for Embryonic Assessment. Computers and Electrical Engineering.
Arsalan et al. (2025). Artificially Intelligent Detection of Retinal Pigment Sign Using P3S-Net for Retinitis Pigmentosa Analysis. Results in Engineering.
Arsalan et al. (2025). Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation. IEEE CASE.
Arsalan et al. (2025). CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining and Reinforcement Learning. IEEE CBMS.
Arsalan et al. (2025). Segmentation-Informed Captioning: A Multi-Stage Pipeline for Surgical Vision-Language Dataset Generation. MIDL 2025.

▸ 2024

Unal et al. (2024). Quantum Computing Based Attacks on Cryptography and Countermeasures. Quantum Computing.
Unal et al. (2024). AI-Powered Malware Detection with Differential Privacy for Zero Trust Security in IoT Networks. Ad Hoc Networks.
Unal et al. (2024). Malware Detection for Mobile Computing Using Secure and Privacy-Preserving Machine Learning Approaches: A Comprehensive Survey. Computers and Electrical Engineering.
Unal et al. (2024). Enhancing Healthcare Systems with Deep Reinforcement Learning: Insights into D2D Communications and Remote Monitoring. IEEE Open Journal of the Communications Society.
Unal et al. (2024). A Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile Systems. IEEE Big Data Conference.
Unal et al. (2024). The Future of Aerial Communications: A Survey of IRS-Enhanced UAV Communication Technologies. IEEE ENERGYCON.
Nhlabatsi et al. (2024). Optimizing Domestic Energy Consumption: A Comprehensive Plug for Enhanced Monitoring and Efficiency. IEEE/ACM BDCAT.
Nhlabatsi et al. (2024). Optimizing Pre-Copy Live Virtual Machine Migration in Cloud Computing Using Machine Learning-Based Prediction Model. Computing.
Nhlabatsi et al. (2024). Navigating the Edge: A Comprehensive Comparison of Machine Learning Algorithms on Prominent Edge Platforms. International Conference on Intelligent Systems and Pattern Recognition.
Nhlabatsi et al. (2024). A Survey on the Use of Federated Learning in Privacy-Preserving Recommender Systems. IEEE Open Journal of the Computer Society.
Nhlabatsi et al. (2024). A Machine Learning-Based Optimization Approach for Pre-Copy Live Virtual Machine Migration. Cluster Computing.
Nhlabatsi et al. (2024). Security-Driven Performance Analysis of Lightweight Cryptography for Energy Efficiency Applications. IEEE ENERGYCON.
Arsalan et al. (2024). Multi-Scale and Multi-Receptive Field-Based Feature Fusion for Robust Segmentation of Plant Disease and Fruit Using Agricultural Images. Applied Soft Computing.
Arsalan et al. (2024). Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation. DICTA.
Arsalan et al. (2024). Multiscale Triplet Spatial Information Fusion-Based Deep Learning Method to Detect Retinal Pigment Signs with Fundus Images. Engineering Applications of Artificial Intelligence.
Arsalan et al. (2024). Deep Learning-Based Detection of Human Blastocyst Compartments with Fractal Dimension Estimation. Fractal and Fractional.

▸ 2023

Unal et al. (2023). Towards Robust Autonomous Driving Systems Through Adversarial Test Set Generation. ISA Transactions.
Unal et al. (2023). Android Malware Detection and Classification Using Stacked Machine Learning. IEEE ICDSIS.
Nhlabatsi et al. (2023). Interactive Graphical Access Control Tools. IEEE VL/HCC.
Nhlabatsi et al. (2023). Data-Leashing: Towards a Characterization of the Problem and Its Solution. IEEE DSA.
Nhlabatsi et al. (2023). Effective Collaboration in the Management of Access Control Policies: A Survey of Tools. IEEE Access.
Arsalan et al. (2023). Multi-Scale Feature Retention and Aggregation for Colorectal Cancer Diagnosis Using Gastrointestinal Images. Engineering Applications of Artificial Intelligence.
Arsalan et al. (2023). Simple and Robust Depth-Wise Cascaded Network for Polyp Segmentation. Engineering Applications of Artificial Intelligence.
Arsalan et al. (2023). Computer-Aided Fish Assessment in an Underwater Marine Environment Using Parallel and Progressive Spatial Information Fusion. Journal of King Saud University - Computer and Information Sciences.
Arsalan et al. (2023). Exploring Deep Feature-Blending Capabilities to Assist Glaucoma Screening. Applied Soft Computing.

▸ 2022

Unal et al. (2022). Machine Learning for the Security of Healthcare Systems Based on Internet of Things and Edge Computing. Cybersecurity and Cognitive Science.
Unal et al. (2022). Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System. Sensors.
Unal et al. (2022). Detection of Botnet Attacks Against Industrial IoT Systems by Multilayer Deep Learning Approaches. Wireless Communications and Mobile Computing.
Unal et al. (2022). Cybersecurity of Multi-Cloud Healthcare Systems: A Hierarchical Deep Learning Approach. Applied Soft Computing.
Unal et al. (2022). Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction. Physical Communication.
Nhlabatsi et al. (2022). Living in the Dark: MQTT-Based Exploitation of IoT Security Vulnerabilities in ZigBee Networks for Smart Lighting Control. IoT.
Nhlabatsi et al. (2022). Live Migration of Virtual Machine Memory Content in Networked Systems. Computer Networks.
Arsalan et al. (2022). Prompt Light-Weight Vessel Segmentation Network (PLVS-Net). IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Arsalan et al. (2022). Robust Segmentation of Underwater Fish Based on Multi-Level Feature Accumulation. Frontiers in Marine Science.
Arsalan et al. (2022). Artificial Intelligence-Based Computer-Aided Diagnosis of Glaucoma Using Retinal Fundus Images. Expert Systems with Applications.
Arsalan et al. (2022). Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications. Sensors.
Arsalan et al. (2022). Deep Features Aggregation-Based Joint Segmentation of Cytoplasm and Nuclei in White Blood Cells. IEEE Journal of Biomedical and Health Informatics.

▸ 2021

Unal et al. (2021). A Secure and Efficient Internet of Things Cloud Encryption Scheme with Forensics Investigation Compatibility Based on Identity-Based Encryption. Future Generation Computer Systems.
Unal et al. (2021). Integration of Federated Machine Learning and Blockchain for the Provision of Secure Big Data Analytics for Internet of Things. Computers & Security.
Unal et al. (2021). Cybersecurity for Next Generation Healthcare in Qatar. Journal of Emergency Medicine, Trauma and Acute Care.
Unal et al. (2021). Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security. IEEE Internet of Things Journal.
Nhlabatsi et al. (2021). Quantifying Satisfaction of Security Requirements of Cloud Software Systems. IEEE Transactions on Cloud Computing.
Arsalan et al. (2021). Screening of Glaucoma Disease from Retinal Vessel Images Using Semantic Segmentation. Computers and Electrical Engineering.
Arsalan et al. (2021). Contrast Enhancement of Fundus Images by Employing Modified PSO for Improving the Performance of Deep Learning Models. IEEE Access.

▸ 2020

Nhlabatsi et al. (2020). Design and Implementation of a Threat-Specific Security Risk Assessment Tool. IEEE ICIoT.
Unal et al. (2020). Safety Score as an Evaluation Metric for Machine Learning Models of Security Applications. IEEE Networking Letters.
Unal et al. (2020). Policy Specification and Verification for Blockchain and Smart Contracts in 5G Networks. ICT Express.
Arsalan et al. (2020). Comprehensive Computer-Aided Decision Support Framework to Diagnose Tuberculosis From Chest X-Ray Images: Data Mining Study. JMIR Medical Informatics.
Arsalan et al. (2020). Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning-Based Classification and Retrieval Framework with a Large Endoscopic Database. Journal of Medical Internet Research.
Arsalan et al. (2020). Deep Learning-Based Detection of Pigment Signs for Analysis and Diagnosis of Retinitis Pigmentosa. Sensors.
Arsalan et al. (2020). OR-Skip-Net: Outer Residual Skip Network for Skin Segmentation in Non-Ideal Situations. Expert Systems with Applications.