Computer Science and Engineering

Ms. Anika Bintee Aftab

Research Interests

• Machine Learning
• Deep Learning
• Natural Language Processing
• Image Processing

Educational Background

• Bachelor of Science (BSc), (Computer Science and Engineering), Ahsanullah University of Science and Technology (AUST)

Honors and Achievements

• Dean’s List of Honor, Ahsanullah University of Science and Technology, 2022
• Govt. Shcholarship, HSC, Dhaka Board, 2016
• Govt. Scholarship (Talentpool), SSC, Dhaka Board, 2014
• 1st Position, SSC, Dhaka Board, 2014
• Govt. Shcholarship, JSC, Dhaka Board, 2011
• Govt. Shcholarship (Talentpool) in class five, Viqarunninsa Noon School, 2008

Publications

1. A regression-based multi-task machine and deep learning framework for explainable AI driven birth weight prediction in maternal and neonatal care, Discover Artificial Intelligence, 2026, Springer Nature. URL
2. Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market., International Journal of Computational Intelligence and Applications, 2023, World Scientific Publishing Co., Inc.. URL

1. GBRT++: A New Data-Driven Model for Predicting Self-Harming Behavior in Postpartum Depression, 2025 28th International Conference on Computer and Information Technology (ICCIT), 2025, IEEE Xplore. URL
2. Ensemble Deep Learning Framework for Accurate Prediction of Gestational Delivery Week Using Electronic Health Records, 2025 28th International Conference on Computer and Information Technology (ICCIT), 2025, IEEE Xplore. URL
3. Decision Integrated Tree: A Machine Learning Model to Predict CO2 Emission from Power Plants, 2024 IEEE International Conference on Computing (ICOCO), 2025. URL