Mst Shapna Akter Mst Shapna Akter

Publications

Journal Publications

  • Alfredo Cuzzocrea, Mst Shapna Akter, Hossain Shahriar, and Pablo Bringas. “Cyberbullying Detection, Prevention and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach”. In: Applied Computing and Informatics (2024). (To appear).
  • Amrijit Biswas, Iftekhar AhmedUday,KMRahat,Mst Shapna Akter, andMRCMahdy. “Forecasting the United State Dollar (USD)/Bangladeshi Taka (BDT) exchange rate with deep learning models: Inclusion of macroeconomic factors influencing the currency exchange rates”. In: Plos one 18.2 (2023), e0279602.
  • Mst Shapna Akter, Hossain Shahriar, Reaz Chowdhury, andMRCMahdy. “Forecasting the Risk Factor of Frontier Markets: A Novel Stacking Ensemble of Neural Network Approach”. In: Future Internet 14.9
  • Deponker Sarker Depto, Shazidur Rahman,MdMekayel Hosen,Mst Shapna Akter, Tamanna Rahman Reme, Aimon Rahman, Hasib Zunair,MSohel Rahman, and MRCMahdy. “Automatic Segmentation of Blood Cells from Microscopic Slides: A Comparative Analysis”. In: Tissue and Cell 73 (2021), p. 101653.

Conference Publications

  • Shaon, M.S.H., Sultan, M.F., Karim, T., Alshan, M.S.H., Cuzzocrea, A. and Akter, M.S., 2024, December. NeuroBooster: A Robust Classifier for the Discovery of Neuropeptide Sequences based on Meta-learning Approach. In 2024 IEEE International Conference on Big Data (BigData) (pp. 6132-6141). IEEE.
  • Shaon, M.S.H., Sultan, M.F., Karim, T., Cuzzocrea, A. and Akter, M.S., 2024, December. An Advanced Liver Disease Detection Tool with a Stacking-Ensemble-based Machine Learning Approach. In 2024 IEEE International Conference on Big Data (BigData) (pp. 6123-6131). IEEE.
  • Ridoy, S.Z., Shaon, M.S.H., Cuzzocrea, A. and Akter, M.S., 2024, December. EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code. In 2024 IEEE International Conference on Big Data (BigData) (pp. 6356-6364). IEEE.
  • Md. Shazzad Hossain Shaon, Md. 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. Venues: ICBBB 2025
  • Emran Kanaan, Md. Fahim Sultan, Md. Shazzad Hossain Shaon, Tasmin Karim, and Mst Shapna Akter Survey of Machine Learning Techniques for Detecting Buffer Overflow Vulnerabilities Venues: ICIT 2025
  • Mst Shapna Akter, Nova Ahmed, and Hossain Shahriar. “Understanding Rural Women’s Experience in STEM and Non-STEM Field in Bangladesh”. In: Proceedings of the 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 26-30 June, Turin, Italy. 2023. Pp. 1037–1046 10.1109/COMPSAC57700.2023.00159.
  • Alfredo Cuzzocrea,Mst Shapna Akter, andHossain Shahriar. “ Analysis and Experimental Comparison of State-Of-The-Art Techniques for Supporting Cyberbullying Detection”. In: Proceedings of the 28th International Conference on Knowledge-Based and Intelligent Information Engineering Systems, 11 - 13 September, 2024, Seville, Spain. 2024. P. 10. (To appear).
  • Md Mostafiz Rahman, Mst Shapna Akter, Abdul Barek, MD Rahman, Hossain Shahriar, and Sheikh Iqbal Ahamed. “Authentic Leaning on DevOps Security with Labware: Git Hooks To Facilitate Automated Security Static Analysis”. In: Proceedings of theWorkshop on The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024), July 2 – 4, Osaka, Japan. P. 6. (To appear).
  • Mst Shapna Akter and Hossain Shahriar. “ Quantum Adversarial Attacks: Developing Quantum FGSM Algorithm”. In: Proceedings of the 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024), July 2 – 4, Osaka, Japan. P. 10. (To appear).
  • A.B.M Kamrul, Md Mostafizur Rahman, Mst Shapna Akter, A.B.M Kamrul Riad, and Md Abdur Rahman. “ Enhancing HIPAA Compliance in AI-driven mHealth: Security and Privacy Strategies”. In: Proceedings of the Workshop on The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024), July 2 – 4, Osaka, Japan. P. 6. (To appear).
  • Abdul Barek,MdMostafizur Rahman,Mst Shapna Akter, A.B.M Kamrul Riad, andMd Abdur Rahman. “Mitigating Insecure Outputs in Large Language Models (LLMs): A Practical Educational Module”. In: Proceedings of the Workshop on The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024), July 2 – 4, Osaka, Japan. P. 6. (To appear).
  • 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”. In: Proceedings of the 2021 24th International Conference on Computer and Information Technology (ICCIT), December 18-20, Dhaka, Bangladesh. IEEE. 2021.
  • Mst Shapna Akter, Hossain Shahriar, Sweta Sneha, and Alfredo Cuzzocrea. “Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network”. In: Proceedings of the 2022 IEEE International Conference on Big Data (Big Data), December 17-20, Osaka, Japan. 2022. Pp. 5404–5413.
  • Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea,Nova Ahmed, and Carson Leung. “HandwrittenWord Recognition using Deep Learning Approach: ANovelWay of GeneratingHandwrittenWords”. In: Proceedings of the 2022 IEEE International Conference on Big Data (Big Data), December 17-20, Osaka, Japan. 2022. Pp. 5414–5423.
  • Mst Shapna Akter, Hossain Shahriar, Nova Ahmed, and Alfredo Cuzzocrea. “Deep Learning Approach for Classifying the Aggressive Comments on SocialMedia:Machine Translated Data Vs Real Life Data”. In: Proceedings of the 2022 IEEE International Conference on Big Data (Big Data), December 17-20, Osaka, Japan. 2022. Pp. 5646–5655.
  • Mst Shapna Akter and Hossain Shahriar. “Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns”. In: Proceedings of the 2022 IEEE Conference on Communications and Network Security (CNS), 3-5 October, Austin, TX, USA. 2022. Pp. 1–6.
  • Mst Shapna Akter, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Akond Rahman, FanWu, and Alfredo Cuzzocrea. “Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms”. In: Proceedings of the 2022 IEEE International Conference on Big Data (Big Data), December 17-20, Osaka, Japan.
  • Mst Shapna Akter, Hossain Shahriar, Md Abdur Rahman, Muhammad Rahman, and Alfredo Cuzzocrea. “Early Prediction of Cryptocurrency Price Decline: A Deep Learning Approach”. In: Proceedings of the 2023 26th International Conference on Computer and Information Technology (ICCIT), December 13-15, Cox’s Bazar, Bangladesh. IEEE. 2023. Pp. 1–6.

Pre-Prints

  • Karim, T., Shaon, M.S.H., Sultan, M.F. and Akter, M.S., 2025. Advancing Image Security with Quantum Key Distribution and Multi-Layer Chaotic Encryption for Quantum Resilient Transmission. arXiv preprint arXiv:2501.09895.
  • Sultan, M.F., Karim, T., Shaon, M.S.H., Wardat, M. and Akter, M., 2024. A Combined Feature Embedding Tools for Multi-Class Software Defect and Identification. arXiv preprint arXiv:2411.17621.
  • Sultan, M.F., Karim, T., Shaon, M.S.H., Wardat, M. and Akter, M.S., 2024. Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code. arXiv preprint arXiv:2412.00216.
  • Zaman Ridoy, S., Shazzad Hossain Shaon, M., Cuzzocrea, A. and Shapna Akter, M., 2024. EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code. arXiv e-prints, pp.arXiv-2411.