Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. - Mst. Shapna Akter; Md. Jobair Hossain Faruk; Nafisa Anjum; Mohammad Masum; Hossain Shahriar; Nazmus Sakib; Akond Rahman; Fan Wu 013; Alfredo Cuzzocrea (IEEE Big Data, 2022)

Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data. - Mst. Shapna Akter; Hossain Shahriar; Nova Ahmed; Alfredo Cuzzocrea (IEEE Big Data, 2022)

Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words. - Mst. Shapna Akter; Hossain Shahriar; Alfredo Cuzzocrea; Nova Ahmed; Carson K. Leung (IEEE Big Data, 2022)

Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network. - Mst. Shapna Akter; Hossain Shahriar; Sweta Sneha; Alfredo Cuzzocrea (IEEE Big Data, 2022)

Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns. - Mst. Shapna Akter; Hossain Shahriar (CNS, 2022)

DuRBIN: A Comprehensive Approach to Analysis and Detection of Emerging Threats due to Network Intrusion. - Kumar Priyansh; Ritu Dimri; Fahim Islam Anik; Mst. Shapna Akter; Nazmus Sakib; Hossain Shahriar; Md. Zakirul Alam Bhuiyan (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing. - Mst. Shapna Akter; Hossain Shahriar; Zakirul Alam Bhuiya (UbiSec, 2022)

Forecasting the Risk Factor of Frontier Markets: A Novel Stacking Ensemble of Neural Network Approach. - Mst. Shapna Akter; Hossain Shahriar; Reaz Chowdhury; M. R. C. Mahdy (Future Internet, 2022)

Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks Using a Malware Dataset: A Comparative Analysis. - Mst. Shapna Akter; Hossain Shahriar; Iysa Iqbal; Md Faruque Hossain; M. A. Karim; Victor Clincy; Razvan Voicu (SSE, 2023)

Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions. - Mst. Shapna Akter; Juanjose Rodriguez-Cardenas; Hossain Shahriar; Alfredo Cuzzocrea; Fan Wu 013 (IEEE Big Data, 2023)

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data. - Mst. Shapna Akter; Hossain Shahriar; Alfredo Cuzzocrea; Fan Wu 013; Juanjose Rodriguez-Cardenas (IEEE Big Data, 2023)

Understanding Rural women's Experience in STEM and Non-STEM field in Bangladesh. - Mst. Shapna Akter; Nova Ahmed; Hossain Shahriar (COMPSAC, 2023)

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. - Mst. Shapna Akter; Hossain Shahriar; Sheikh Iqbal Ahamed; Kishor Datta Gupta; Muhammad Rahman 006; Atef Mohamed; Mohammad Ashiqur Rahman; Akond Rahman; Fan Wu 013 (COMPSAC, 2023)

Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks. - Mst. Shapna Akter; Hossain Shahriar; Alfredo Cuzzocrea (COMPSAC, 2023)

Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks. - Mst. Shapna Akter; Hossain Shahriar; Juan Rodriguez Cardenas; Sheikh Iqbal Ahamed; Alfredo Cuzzocrea (COMPSAC, 2023)

Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy. - Mst. Shapna Akter; Hossain Shahriar; Dan Lo 001; Nazmus Sakib; Kai Qian; Michael E. Whitman; Fan Wu 013 (COMPSAC, 2023)

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. - Mst. Shapna Akter; Hossain Shahriar; Sheikh Iqbal Ahamed; Kishor Datta Gupta; Muhammad Asadur Rahman; Atef Mohamed; Mohammad Ashiqur Rahman; Akond Rahman; Fan Wu 013 (CoRR, 2023)

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. - Mst. Shapna Akter; Md. Jobair Hossain Faruk; Nafisa Anjum; Mohammad Masum; Hossain Shahriar; Akond Rahman; Fan Wu 013; Alfredo Cuzzocrea (CoRR, 2023)

Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions. - Mst. Shapna Akter (CoRR, 2023)

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data. - Mst. Shapna Akter; Hossain Shahriar; Alfredo Cuzzocrea (CoRR, 2023)

Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python. - Mst. Shapna Akter; Juanjose Rodriguez-Cardenas; Hossain Shahriar; Akond Rahman; Fan Wu 013 (CoRR, 2023)

EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code. - Shahriyar Zaman Ridoy; Md. Shazzad Hossain Shaon; Alfredo Cuzzocrea; Mst. Shapna Akter (IEEE Big Data, 2024)

NeuroBooster: A Robust Classifier for the Discovery of Neuropeptide Sequences based on Meta-learning Approach. - Md. Shazzad Hossain Shaon; Md. Fahim Sultan; Tasmin Karim; Md. Shoaib Hossain Alshan; Alfredo Cuzzocrea; Mst. Shapna Akter (IEEE Big Data, 2024)

An Advanced Liver Disease Detection Tool with a Stacking-Ensemble-based Machine Learning Approach. - Md. Shazzad Hossain Shaon; Md. Fahim Sultan; Tasmin Karim; Alfredo Cuzzocrea; Mst. Shapna Akter (IEEE Big Data, 2024)

Authentic Learning Approach for Data Poisoning Vulnerability in LLMs. - Mst. Shapna Akter; Md. Abdur Rahman 003; Md. Mostafizur Rahman; Juanjose Rodriguez-Cardenas; Hossain Shahriar; Fan Wu 013; Muhammad Rahman 006 (COMPSAC, 2024)

Uncovering the Interpretation of Large Language Models. - Mst. Shapna Akter; Hossain Shahriar; Alfredo Cuzzocrea; Fan Wu 013 (COMPSAC, 2024)

Quantum Adversarial Attacks: Developing Quantum FGSM Algorithm. - Mst. Shapna Akter; Hossain Shahriar; Alfredo Cuzzocrea; Fan Wu 013 (COMPSAC, 2024)

Mitigating Insecure Outputs in Large Language Models(LLMs): A Practical Educational Module. - Abdul Barek; Md. Mostafizur Rahman; Mst. Shapna Akter; ABM Kamrul Islam Riad; Md. Abdur Rahman 003; Hossain Shahriar; Akond Rahman; Fan Wu 013 (COMPSAC, 2024)

Architecture Design and Implementation of a Security Threat Data Sharing Platform. - Chase Lamkin; Mst. Shapna Akter; Hossain Shahriar; Guillermo Francia III (COMPSAC, 2024)

Fine-Tuned Variational Quantum Classifiers for Cyber Attacks Detection Based on Parameterized Quantum Circuits and Optimizers. - Md. Abdur Rahman 003; Mst. Shapna Akter; Emily Miller; Bogdan Timofti; Hossain Shahriar; Mohammad Masum; Fan Wu 013 (COMPSAC, 2024)

Authentic Learning on DevOps Security with Labware: Git Hooks To Facilitate Automated Security Static Analysis. - Md. Mostafizur Rahman; Abdul Barek; Mst. Shapna Akter; ABM Kamrul Islam Riad; Md. Abdur Rahman 003; Hossain Shahriar; Akond Rahman; Fan Wu 013 (COMPSAC, 2024)

Enhancing HIPAA Compliance in AI-driven mHealth Devices Security and Privacy. - ABM Kamrul Islam Riad; Abdul Barek; Md. Mostafizur Rahman; Mst. Shapna Akter; Tahia Islam; Md. Abdur Rahman 003; Md Raihan Mia; Hossain Shahriar; Fan Wu 013; Sheikh Iqbal Ahamed (COMPSAC, 2024)

Analysis and Experimental Comparison of State-Of-The-Art Deep-Learning Classification Techniques for Cyberbullying Detection. - Alfredo Cuzzocrea; Carmine Gallo; Mst. Shapna Akter; Hossain Shahriar (KES, 2024)

M-DBSCAN: Modified DBSCAN Clustering Algorithm for Detecting and Controlling Outliers. - Momotaz Begum; Mehedi Hasan Shuvo; Md. Golam Mostofa; ABM Kamrul Islam Riad; Md Arabin Islam Talukder; Mst. Shapna Akter; Hossain Shahriar (SAC, 2024)

Towards Analysis and Interpretation of Large Language Models for Arithmetic Reasoning. - Mst. Shapna Akter; Hossain Shahriar; Alfredo Cuzzocrea (SDS, 2024)

A Combined Feature Embedding Tools for Multi-Class Software Defect and Identification. - Md. Fahim Sultan; Tasmin Karim; Md. Shazzad Hossain Shaon; Mohammad Wardat; Mst. Shapna Akter (CoRR, 2024)

Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code. - Md. Fahim Sultan; Tasmin Karim; Md. Shazzad Hossain Shaon; Mohammad Wardat; Mst. Shapna Akter (CoRR, 2024)

Improving Software Security Through a LLM-Based Vulnerability Detection Model. - Syeda Sadia Alam; Mst. Shapna Akter; Alfredo Cuzzocrea (DEXA (1), 2025)

NULLDect: A Dynamic Adaptive Learning Framework for Robust NULL Pointer Dereference Detection. - Tasmin Karim; Md. Shazzad Hossain Shaon; Md. Fahim Sultan; Alfredo Cuzzocrea; Mst. Shapna Akter (SECRYPT, 2025)

BitterEN: A novel ensemble model for the identification of bitter peptide. - Md. Fahim Sultan; Tasmin Karim; Md. Shazzad Hossain Shaon; Md Mamun Ali; Sobhy M. Ibrahim; Mst. Shapna Akter; Kawsar Ahmed; Francis M. Bui; Mohammad Ali Moni (Comput. Biol. Medicine, 2025)

Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach. - Alfredo Cuzzocrea; Mst. Shapna Akter; Hossain Shahriar; Pablo García Bringas (Future Internet, 2025)

Advancing Image Security with Quantum Key Distribution and Multi-Layer Chaotic Encryption for Quantum Resilient Transmission. - Tasmin Karim; Md. Shazzad Hossain Shaon; Md. Fahim Sultan; Mst. Shapna Akter (CoRR, 2025)

Routing Dynamics in Distributed Quantum Networks. - Mst. Shapna Akter; Md. Shazzad Hossain Shaon; Tasmin Karim; Md. Fahim Sultan; Emran Kanaan (CoRR, 2025)