Khandaker Tayef Shahriar

I am enthusiast to make fusion of cutting edge computing technologies. By learning and using time in an effective way, I push myself towards a continuous development growth. I believe in the motto: You would never become perfect, try for the best...

Experience

Education

Skills

• Descriptive Analysis
• Diagnostic Analysis
• Predictive Analysis
• Prescriptive Analysis

Publications

[1] Khandaker Tayef Shahriar, Muhammad Nazrul Islam, Md Musfique Anwar, and Iqbal H. Sarker. "COVID-19 analytics: Towards the effect of vaccine brands through analyzing public sentiment of tweets." Informatics in medicine unlocked 31 (2022): 100969.

[2] Das Guptta, Sumitra, Khandaker Tayef Shahriar, Hamed Alqahtani, Dheyaaldin Alsalman, and Iqbal H. Sarker. "Modeling hybrid feature-based phishing websites detection using machine learning techniques." Annals of Data Science (2022): 1-26.

[3] Khandaker Tayef Shahriar, and Iqbal H. Sarker. "Exploring a Hybrid Deep Learning Framework to Automatically Discover Topic and Sentiment in COVID-19 Tweets." Computing&AI Connect 2, no. 1 (2025): 1-10.

[4] Khandaker Tayef Shahriar, Abdullah Hafez Nur, and Muhammed Nasir Uddin. "An Enhanced Framework for Forecasting Marine Accidents with Seasonal and Casualty Severity Categories as Exogenous Factors." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-6. IEEE, 2025.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

[9] 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.

Professional Trainings

• Fundamental of Software Testing and Quality Assurance | 3 months | Pondit
• Training on AI and Machine Learning with Python | 15 Days | CUET
• Web Application Development | 3 months | BITM

Awards

• Vice-Chancellor's Gold Medal | 4^th Convocation | IIUC
• Honorable Mention | Topic Identification and Sentiment Analysis of Covid-19 Tweets Using Deep Learning | 1^st National Workshop on Big Data and Machine Learning | CUET