Shafiul Ajam Opee
Bsc. Undergraduate | Computer Science & Engineering (CSE)
Research Intern
Contact:
Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani.
Dhaka-1213, Bangladesh
E-mail:
opee.cse@gmail.comTelephone:
Office:
Cell: 01735348889
Bachelor of Science
American International University-Bangladesh [ 01/07/2020 – 24/06/2023 ]
Final grade: 3.79/4.00
Thesis: Different CNN-Based Approach to Skin Lesion Classification
Shafiul Ajam Opee is a researcher and software professional. He currently serves as a Research Assistant Intern at the Advanced Machine Intelligence Research Lab (AMIRL) and a Junior Software Quality Assurance Engineer at TechnoNext Software Limited. Shafiul has contributed to impactful research in medical imaging, anomaly detection, and predictive analytics, with multiple papers accepted in journals, conferences, and book chapters. His work reflects a strong passion for advancing AI technologies and software development.
1. Title: ELW-CNN: An Extremely Lightweight Convolutional Neural Network for Enhancing Interoperability in Colon and Lung Cancer Identification Using Explainable AI
Authors: S. A. Opee, A. A. Eva, A. T. Noor, S. M. Hasan, and M. F. Mridha
Status: Accepted to Healthcare Technology Letters
2. Title: Predictive Analytics for Dementia: Machine Learning on Healthcare Data
Authors: S. A. Opee, N. Fahad, F. Jahan, A. Sen, R. Ahmed, M. J. Hossen, M. K. Morol, and M. A.-A. Jubair
Status: Accepted to ACIE 2025
3. Title: Automated Plant Diseases Analysis Using Lightweight Deep Learning Models
Authors: S. A. Opee, A. A. Eva, S. M. Hasan, A. T. Noor
Status: Accepted to EasyChair for AIIA2024
4. Title: CNNRF-Ensemble: A Multifaced Approach For Predicting White Spot Syndrome Virus In Shrimp Farming
Authors: K. Tanvir, M. S. Al Huda, S. A. Opee, M. S. Kabir, M. A. Ali, and T. Bhuiyan.
Status: Presented to ICREST 2025
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