Publications

Journal Articles

Alfredo Cuzzocrea, Mst Shapna Akter, Hossain Shahriar, and Pablo Garcia Bringas. "Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach." Future Internet 17.2 (2025), p. 84.
Tasmin Karim, Md Shazzad Hossain Shaon, Md Mamun Ali, Sobhy M Ibrahim, Mst Shapna Akter, Kawsar Ahmed, Francis M Bui, Li Chen, and Mohammad Ali Moni. "K-SNOpred: Identification of Protein S-nitrosylation sites through word embedding features and machine learning." Analytical Biochemistry (2025), p. 115952.
Mst Shapna Akter, Md Fahim Sultan, Tasmin Karim, and Md Shazzad Hossain Shaon. "ReVGG-R2Net: Optimized Recurrent Framework for Microscopic Blood Cell Segmentation." Tissue and Cell (2025), p. 103189.
Md Shazzad Hossain Shaon and Mst Shapna Akter. "Modern Approaches to Software Vulnerability Detection: A Survey of Machine Learning, Deep Learning, and Large Language Models." Electronics 14.22 (2025), p. 4449.
Md Fahim Sultan, Tasmin Karim, Md Shazzad Hossain Shaon, Md Mamun Ali, Sobhy M Ibrahim, Mst Shapna Akter, Kawsar Ahmed, Francis M Bui, and Mohammad Ali Moni. "BitterEN: A novel ensemble model for the identification of bitter peptide." Computers in Biology and Medicine 195 (2025), p. 110528.
Md Fahim Sultan, Tasmin Karim, Md Shazzad Hossain Shaon, Sayed Mehedi Azim, Iman Dehzangi, Mst Shapna Akter, Sobhy M Ibrahim, Md Mamun Ali, Kawsar Ahmed, and Francis M Bui. "DHUpredET: A comparative computational approach for identification of dihydrouridine modification sites in RNA sequence." Analytical Biochemistry 702 (2025), p. 115828.
Alfredo Cuzzocrea, Carmine Gallo, Mst Shapna Akter, and Hossain Shahriar. "Analysis and Experimental Comparison of State-Of-The-Art Deep-Learning Classification Techniques for Cyberbullying Detection." Procedia Computer Science 246 (2024), pp. 3800–3809.
Amrijit Biswas, Iftekhar Ahmed Uday, KM Rahat, Mst Shapna Akter, and MRC Mahdy. "Forecasting the United State Dollar (USD)/Bangladeshi Taka (BDT) exchange rate with deep learning models." PLOS ONE 18.2 (2023), e0279602.
Mst Shapna Akter, Hossain Shahriar, Reaz Chowdhury, and MRC Mahdy. "Forecasting the Risk Factor of Frontier Markets: A Novel Stacking Ensemble of Neural Network Approach." Future Internet 14.9 (2022), p. 252.
Deponker Sarker Depto, Shazidur Rahman, Md Mekayel Hosen, Mst Shapna Akter, et al. "Automatic Segmentation of Blood Cells from Microscopic Slides: A Comparative Analysis." Tissue and Cell 73 (2021), p. 101653.

Conference Proceedings

Alfredo Cuzzocrea, Tasmin Karim, Md Shazzad Hossain Shaon, Md Fahim Sultan, and Mst Shapna Akter. "DLPVP: A Multi-View Feature-Based Deep Learning Model for Phage Virion Protein Identification." IDEAS 2026. 2026.
Syeda Sadia Alam, Mst Shapna Akter, and Alfredo Cuzzocrea. "Improving Software Security Through a LLM-Based Vulnerability Detection Model." DEXA 2025. Springer. 2025. Pp. 122–129.
Tasmin Karim, Mst Shapna Akter, and Alfredo Cuzzocrea. "A Benchmark Dataset for Code-Level Vulnerability Detection and Analysis." IEEE BigData 2025. IEEE. 2025.
Tasmin Karim, Md Shazzad Hossain Shaon, Md Fahim Sultan, Alfredo Cuzzocrea, and Mst Shapna Akter. "NULLDect: A Dynamic Adaptive Learning Framework for Robust NULL Pointer Dereference Detection." SECRYPT 2025. SCITEPRESS. 2025. Pp. 571–576.
Mst Shapna Akter, Md Fahim Sultan, and Alfredo Cuzzocrea. "Neuro-Symbolic Methods in Natural Language Processing: A Review." DATA 2025. SCITEPRESS. 2025. Pp. 274–282.
Md. Shazzad Hossain Shaon, Mst Shapna Akter, and Alfredo Cuzzocrea. "ResVul-LLM: A Neurosymbolic Framework Combining Large Language Models and Symbolic Reasoning for C/C++ Vulnerability Analysis." IEEE BigData 2025. IEEE. 2025.
Shazzad Hossain Shaon, Fahim Sultan, Tasmin Karim, and Mst Shapna Akter. "Anti-BioEn: An advanced framework for accurate bioactive agent classification based on hybrid models and graph feature encoding method." BIO Web of Conferences. EDP Sciences. 2025. Vol. 163. P. 01007.
Md Fahim Sultan, Mst Shapna Akter, and Alfredo Cuzzocrea. "CodeVul+: A Structure-Aware Framework for Cross-Repository Vulnerability Detection." IEEE BigData 2025. IEEE. 2025.
Md Fahim Sultan, Mst Shapna Akter, and Alfredo Cuzzocrea. "P3R: Parallel Plugin-based Parameter Efficient Fine-tuning for Code Understanding through Hierarchical Representation Refinement." IEEE BigData 2025. IEEE. 2025.
Shahriyar Zaman Ridoy, Md Shazzad Hossain Shaon, Alfredo Cuzzocrea, and Mst Shapna Akter. "EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code." IEEE BigData 2024. IEEE. 2024. Pp. 6356–6364.
Md Shazzad Hossain Shaon, Md Fahim Sultan, Tasmin Karim, Md Shoaib Hossain Alshan, Alfredo Cuzzocrea, and Mst Shapna Akter. "NeuroBooster: A Robust Classifier for the Discovery of Neuropeptide Sequences based on Meta-learning Approach." IEEE BigData 2024. IEEE. 2024. Pp. 6132–6141.
Md Shazzad Hossain Shaon, Md Fahim Sultan, Tasmin Karim, Alfredo Cuzzocrea, and Mst Shapna Akter. "An Advanced Liver Disease Detection Tool with a Stacking-Ensemble-based Machine Learning Approach." IEEE BigData 2024. IEEE. 2024. Pp. 6123–6131.
Emran Kaanan, Tasmin Karim, Md Shazzad Hossain Shaon, Md Fahim Sultan, Alfredo Cuzzocrea, and Mst Shapna Akter. "LLM-Based Approach for Buffer Overflow Detection in Source Code." ICCIT 2024. IEEE. 2024. Pp. 1898–1902.
MD Abdul Barek, Md Mostafizur Rahman, Mst Shapna Akter, ABM Kamrul Islam Riad, Md Abdur Rahman, Hossain Shahriar, Akond Rahman, and Fan Wu. "Mitigating Insecure Outputs in Large Language Models (LLMs): A Practical Educational Module." IEEE COMPSAC 2024. IEEE. 2024. Pp. 2424–2429.
Chase Lamkin, Mst Shapna Akter, Hossain Shahriar, and Guillermo Francia. "Architecture Design and Implementation of a Security Threat Data Sharing Platform." IEEE COMPSAC 2024. IEEE. 2024. Pp. 1502–1503.
Mst Shapna Akter, Md Abdul Barek, Md Mostafizur Rahman, Abm Kamrul Islam Riad, Md Abdur Rahman, Md Raihan Mia, Hossain Shahriar, William Chu, and Sheikh Iqbal Ahamed. "HIPAA Technical Compliance Evaluation of Laravel-based mHealth Apps." IEEE ICDH 2024. IEEE. 2024. Pp. 58–67.
Mst Shapna Akter, Md Abdur Rahman, Md Mostafizur Rahman, Juanjose Rodriguez-Cardenas, Hossain Shahriar, Fan Wu, and Muhammad Rahman. "Authentic Learning Approach for Data Poisoning Vulnerability in LLMs." IEEE COMPSAC 2024. IEEE. 2024. Pp. 1504–1505.
Mst Shapna Akter, Hossain Shahriar, and Alfredo Cuzzocrea. "Towards analysis and interpretation of large language models for arithmetic reasoning." IEEE SDS 2024. IEEE. 2024. Pp. 267–270.
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, and Fan Wu. "Quantum Adversarial Attacks: Developing Quantum FGSM Algorithm." IEEE COMPSAC 2024. IEEE. 2024. Pp. 1073–1079.
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, and Fan Wu. "Uncovering the interpretation of large language models." IEEE COMPSAC 2024. IEEE. 2024. Pp. 1057–1066.
Md Abdur Rahman, Mst Shapna Akter, Emily Miller, Bogdan Timofti, Hossain Shahriar, Mohammad Masum, and Fan Wu. "Fine-tuned Variational Quantum Classifiers for Cyber Attacks Detection." IEEE COMPSAC 2024. IEEE. 2024. Pp. 1067–1072.
Md Mostafizur Rahman, Md Abdul Barek, Mst Shapna Akter, Abm Kamrul Islam Riad, Md Abdur Rahman, Hossain Shahriar, Akond Rahman, and Fan Wu. "Authentic Learning on DevOps Security with Labware: Git Hooks To Facilitate Automated Security Static Analysis." IEEE COMPSAC 2024. IEEE. 2024. Pp. 2418–2423.
ABM Kamrul Islam Riad, Md Abdul Barek, Md Mostafizur Rahman, Mst Shapna Akter, et al. "Enhancing HIPAA Compliance in AI-driven mHealth Devices Security and Privacy." IEEE COMPSAC 2024. IEEE. 2024. Pp. 2430–2435.
Momotaz Begum, Mehedi Hasan Shuvo, Md Golam Mostofa, Abm Kamrul Islam Riad, Md Arabin Islam Talukder, Mst Shapna Akter, and Hossain Shahriar. "M-DBSCAN: Modified DBSCAN Clustering Algorithm for Detecting and Controlling Outliers." ACM/SIGAPP SAC 2024. 2024. Pp. 1034–1035.
Mst Shapna Akter, Nova Ahmed, and Hossain Shahriar. "Understanding Rural Women's Experience in STEM and Non-STEM Field in Bangladesh." IEEE COMPSAC 2023, Turin, Italy. 2023. Pp. 1037–1046.
Mst Shapna Akter, Juanjose Rodriguez Cardenas, Hossain Shahriar, Alfredo Cuzzocrea, and Fan Wu. "Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey." IEEE BigData 2023, Sorrento, Italy. 2023.
Mst Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, et al. "Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection." IEEE COMPSAC 2023, Turin, Italy. 2023.
Mst Shapna Akter, Hossain Shahriar, and Zakirul Alam Bhuiya. "Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing." UbiSec 2023, Exeter, UK. 2023.
Mst Shapna Akter, Hossain Shahriar, Juanjose Rodriguez Cardenas, Md Mostafizur Rahman, Akond Rahman, and Fan Wu. "Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python." ISCAP 2023, Albuquerque, New Mexico. 2023.
Mst Shapna Akter, Hossain Shahriar, and Alfredo Cuzzocrea. "Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between CPU vs GPU Functions for Neural Networks." IEEE COMPSAC 2023, Turin, Italy. 2023.
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, Fan Wu, and Juanjose Rodriguez Cardenas. "A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data." IEEE BigData 2023, Sorrento, Italy. 2023.
Mst Shapna Akter, Hossain Shahriar, Iysa Iqbal, MD Hossain, M.A. Karim, Victor Clincy, and Razvan Voicu. "Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks Using a Malware Dataset: A Comparative Analysis." IEEE SSE 2023, Chicago, USA. 2023.
Mst Shapna Akter, Hossain Shahriar, Dan Lo, Nazmus Sakib, Kai Qian, Michael Whitman, and Fan Wu. "Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy." IEEE COMPSAC 2023, Turin, Italy. 2023.
Mst Shapna Akter, Hossain Shahriar, Md Abdur Rahman, Muhammad Rahman, and Alfredo Cuzzocrea. "Early Prediction of Cryptocurrency Price Decline: A Deep Learning Approach." ICCIT 2023, Cox's Bazar, Bangladesh. 2023.
Mst Shapna Akter, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Akond Rahman, Fan Wu, and Alfredo Cuzzocrea. "Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms." IEEE BigData 2022, Osaka, Japan. 2022.
Mst Shapna Akter and Hossain Shahriar. "Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns." IEEE CNS 2022, Austin, TX, USA. 2022. Pp. 1–6.
Mst Shapna Akter, Hossain Shahriar, Nova Ahmed, and Alfredo Cuzzocrea. "Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data." IEEE BigData 2022, Osaka, Japan. 2022.
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, Nova Ahmed, and Carson Leung. "Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words." IEEE BigData 2022, Osaka, Japan. 2022.
Mst Shapna Akter, Hossain Shahriar, Sweta Sneha, and Alfredo Cuzzocrea. "Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network." IEEE BigData 2022, Osaka, Japan. 2022.
Kumar Priyansh, Ritu Dimri, Fahim Islam Anik, Mst Shapna Akter, Nazmus Sakib, Hossain Shahriar, and Zakirul Alam Bhuiyan. "DuRBIN: A Comprehensive Approach to Analysis and Detection of Emerging Threats due to Network Intrusion." IEEE DASC 2022, Calabria, Italy. 2022.
Kazi Rumman Reswan Turjo, Partho Anthony D'Costa, Surjo Bhowmick, Asadullah Galib, Sami Raian, Mst Shapna Akter, Nova Ahmed, and MRC Mahdy. "Design of Low-Cost Smart Safety Vest for the Prevention of Physical Abuse and Sexual Harassment." ICCIT 2021, Dhaka, Bangladesh. 2021.