About Me
I am a CSE undergraduate at RUET with research interests in Artificial Intelligence and Natural Language Processing. I have authored IEEE conference papers focusing on transformer-based NLP and efficient deep learning models, alongside hands-on experience in software development. My goal is to pursue advanced research and build impactful AI-driven solutions.
Education
BSc in Computer Science & Engineering
Rajshahi University of Engineering & Technology (RUET), Bangladesh
Relevant Coursework: Data Structures & Algorithms, Operating Systems, Database Systems, Computer Networks, Machine Learning, Artificial Intelligence, Software Engineering
- Academic focus on Artificial Intelligence, Natural Language Processing, and Machine Learning
- Actively involved in research, IEEE conference publications, and technical activities alongside coursework
Publications
Memory-Efficient Deep Learning Architectures for Water Body Segmentation in Satellite Imagery: A Comparative Analysis and Ensemble Approach
Accepted — 28th ICCIT, 2025
This paper presents a comparative study of memory-efficient deep learning architectures for water body segmentation from satellite imagery. An ensemble-based approach is proposed to balance accuracy and computational efficiency, making the model suitable for resource-constrained environments.
Transformer-Based Multi-Label Disease Prediction from Radiology Reports
Accepted — 28th ICCIT, 2025
This work explores transformer-based natural language processing models for multi-label disease prediction from unstructured radiology reports. The study demonstrates the effectiveness of attention-based architectures in extracting clinical insights from medical text data.
An Explainable Deep Learning Framework for Multi-Class Alzheimer’s Diagnosis with Multi-Scale CNN
Accepted — 2nd QPAIN, 2026
This research presents an explainable deep learning framework for multi-class Alzheimer’s disease diagnosis using structural MRI scans. The study proposes a custom multi-scale CNN architecture combined with transfer learning models and ensemble techniques to improve classification robustness.
Projects
AlzDetect-AI
An AI-powered system for early detection and classification of Alzheimer’s disease from brain MRI scans using deep learning techniques.
Technologies: Python, PyTorch, CNN, Medical Imaging
Restaurant Management Website
A responsive restaurant management web application that allows users to browse menus, place orders, and manage reservations through a clean user interface.
Technologies: HTML, CSS, JavaScript, Backend Framework
Meal Manager Android App
An Android application designed to help users plan daily meals, track nutrition, and manage food expenses efficiently.
Technologies: Java, Android Studio, SQLite
Experience
Software Development Intern
Completed a 3-month internship at a software company, gaining hands-on experience in real-world software development and industry workflows.
Research Assistant (AI & NLP)
Conducted research in Artificial Intelligence and Natural Language Processing under the supervision of Shyla Afroge, Associate Professor, RUET. Contributed to multiple IEEE conference publications.
Competitive Programming
Actively participated in numerous Codeforces contests, strengthening algorithmic thinking and problem-solving skills.
Dataset Developer (Kaggle)
Created and published an Alzheimer’s disease–related dataset on Kaggle, contributing to open research and reproducible AI research.
Research Mentor
Mentored 2 students in preparing and submitting conference research papers, providing guidance on methodology, writing, and submission process.
Tutor
Provided tutoring in Mathematics, ICT (Numerical Methods, C Programming, HTML), and Physics. Tutored 3 students for one month (2022) and 1 student for one year (2024–2025).
Q&A Instructor
Served as a Q&A teacher at Udvash for one year, supporting students in academic preparation and problem-solving.
HR Lead
RUET Computer Society — responsible for organizational coordination, member management, and leadership activities.
Awards & Certificates
EDGE Training Program
Successfully completed an 8-month professional training program organized by the Bangladesh Government.
Oracle Generative AI Certification
Earned certification in Oracle Generative AI, covering foundational GenAI concepts, prompt engineering, and enterprise AI use cases.
Mathematics for Machine Learning
Completed a comprehensive course by Duke University covering linear algebra, calculus, probability, and optimization techniques essential for machine learning.
Machine Learning with Python
Completed an applied machine learning course focusing on supervised and unsupervised learning techniques using Python, including model evaluation and practical implementation.
Volunteer Certificate
Awarded for volunteering at a university-level academic conference.
Seminar Participation
Attended multiple technical seminars on emerging technologies and current research trends.