Cybersecurity Data Science

[1] Shahriar, K. T., Islam, M. N., Anwar, M. M., & Sarker, I. H. (2022). COVID-19 analytics Towards the effect of vaccine brands through analyzing public sentiment of tweets. Informatics in medicine unlocked, 31, 100969.
[2] Das Guptta, S., Shahriar, K. T., Alqahtani, H., Alsalman, D., & Sarker, I. H. (2024). Modeling hybrid feature-based phishing websites detection using machine learning techniques. Annals of Data Science, 11(1), 217-242.

[1] Khandaker Tayef Shahriar, Muhammad Nazrul Islam, Mohammad Ali Moni, and Iqbal H. Sarker. "A Dynamic Topic Identification and Labeling Approach for COVID-19 Tweets." In Applied Intelligence for Industry 4.0, pp. 227-239. Chapman and Hall/CRC, 2023.
[2] Khandaker Tayef Shahriar, Mohammad Ali Moni, Mohammed Moshiul Hoque, Muhammad Nazrul Islam, and Iqbal H. Sarker. "SATLabel a framework for sentiment and aspect terms based automatic topic labelling." In Machine Intelligence and Data Science Applications Proceedings of MIDAS 2021, pp. 63-75. Singapore Springer Nature Singapore, 2022.
[3] Tasnim, Nowshin, Khandaker Tayef Shahriar, Hamed Alqahtani, and Iqbal H. Sarker. "Ransomware family classification with ensemble model based on behavior analysis." In Machine Intelligence and Data Science Applications Proceedings of MIDAS 2021, pp. 609-619. Singapore Springer Nature Singapore, 2022.
[4] Khandaker Tayef Shahriar, Md Musfique Anwar, and Iqbal H. Sarker. "Aspect Based Sentiment Analysis of COVID-19 Tweets Using Blending Ensemble of Deep Learning Models." In International Conference on Machine Intelligence and Emerging Technologies, pp. 386-400. Cham Springer Nature Switzerland, 2022.
[5] Uddin, Mohammad Amaz, Khandaker Tayef Shahriar, Md Mokammel Haque, and Iqbal H. Sarker. "Cyber-Attack Detection Through Ensemble-Based Machine Learning Classifier." In International Conference on Machine Intelligence and Emerging Technologies, pp. 386-396. Cham Springer Nature Switzerland, 2022.

Vice Chancellor Gold Medalist in The 4th Convocation of IIUC