• M.Sc. in Computer Science from SAARC University(New Delhi)
• B.Sc in Computer Science and Engineering from Bangladesh Army International University of Science and Technology

• Best paper award: First Position (Entropy Dependency-based Unsupervised Feature Selection) 
• Dean Listed: Three times 
• Scholarship: Silver Jubilee Scholarship (For M.Sc)

1. F. Hossain, S. Akter, E. Aich, R. Akter and A. Datta, "Clinically Interpretable Deep Learning for Genomic-Based Glioma Subtyping Using SHAP," 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh, 2026, pp. 1-5, doi: 10.1109/ICECTE69292.2026.11429296. Available: https://ieeexplore.ieee.org/abstract/document/11429296
2. Rastogi, R. and Aich, E., 2025. Entropy Dependency-based Unsupervised Feature Selection. Procedia Computer Science, 258, pp.1232-1241. Available: https://www.sciencedirect.com/science/article/pii/S1877050925014590
3. Rastogi, R. and Aich, E., 2024, December. Entropy Based Embedded Unsupervised Feature Selection. In International Conference on Advanced Network Technologies and Intelligent Computing (pp. 66-80). Cham: Springer Nature Switzerland.Available: https://link.springer.com/chapter/10.1007/978-3-031-83793-7_5
4. Chowdhury, S.J., Aich, E., Reno, S. and Ahmed, M., 2022, December. Utilizing hyperledger based private blockchain technology to secure credit card payment system. In 2022 25th International Conference on Computer and Information Technology (ICCIT) (pp. 354-359). IEEE. Available: https://ieeexplore.ieee.org/abstract/document/10054775
5. S. Akter, E. Aich, F. Hossain, A. Datta and T. F. Supty, "An Interpretable Deep Learning Framework for Lung Cancer Prediction using Swish-optimized Neural Networks and SHAP Explanations," 2026 International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII), Pabna, Bangladesh, 2026, pp. 1-6, doi: 10.1109/PECCII70991.2026.11661927.

Research Interest