Antu

Research

Research interests rooted in machine learning, accessibility, and engineering systems.

My research work aims to connect technical depth with practical usefulness, especially where intelligent systems can improve human outcomes.

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Publications, ongoing investigations, and technical writing collected with more structure.

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Conference

7

Journal

2

Book Chapter

1

AllConferenceJournalBook Chapter
All202420252026

1st International Conference on Intelligent Data Analysis and Applications (IDAA 2025)

Book Chapter0 citations

Statistical Test-Driven Feature Curation for Resilient Breast Carcinoma Detection via Machine-Learning Methodologies

Mostofa Tanvir Sourov, Mim Akter Khadiza, Antu Roy Chowdhury, Md Abu Ismail Siddique

This study analyzes the Breast Cancer Wisconsin dataset using Chi-square, Fisher’s exact, and Student’s t-tests across six machine learning classifiers. The SVM classifier combined with Chi-square or Fisher’s score achieved a peak performance of 98.25% accuracy, proving...

Breast CancerCarcinoma DetectionChi-Square TestFeature Selection
Not published yet

Recognition

Research-adjacent milestones, awards, and project highlights.

Champion at Programming Contest 2k22

Programming Contest Organised by Department of ETE

2022

Champion at Programming Contest 2k22

Champion at Programming Contest 2022, Organised by the Department of ETE, RUET for 20 series.

QPAIN 2025 — Paper Presentation & Recognition

2025 1st International Conference on QPAIN , IEEE Photonics Society Bangladesh Chapter

2025

QPAIN 2025 — Paper Presentation & Recognition

Presented the research paper “Real-Time Detection and Translation of Bangla Sign Language Characters Using Deep Learning” at QPAIN 2025 and received a Certificate and Token of Appreciation in recognition of the contribution.

ICECTE 2026 Paper Presentation — CyberBiLSTM

5th International Conference on ICECTE 2026, RUET

2026

ICECTE 2026 Paper Presentation — CyberBiLSTM

Presented the research paper “CyberBiLSTM: A Bidirectional LSTM Architecture for Cybersecurity via High-Precision SQL Injection Attack Detection” at the 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE 2026).

ICECTE 2026 Paper Presentation — CNN-Transformer Fusion Network

5th International Conference on ICECTE 2026, RUET

2026

ICECTE 2026 Paper Presentation — CNN-Transformer Fusion Network

Presented the research paper “CNN-Transformer Fusion Network for Multi-Class Leaf Disease Classification” at the 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE 2026).

ICCIT 2024 Paper Presentation — Residual Block-Driven CNN

27th International Conference on Computer and Information Technology (ICCIT 2024), IEEE

2024

ICCIT 2024 Paper Presentation — Residual Block-Driven CNN

Presented the research paper “Residual Block-Driven CNN for Accurate White Blood Cell Image Analysis and Classification” at the 27th International Conference on Computer and Information Technology (ICCIT 2024).

ICCIT 2024 Paper Presentation — Brain Tumor Detection at ICCIT 2024

27th International Conference on Computer and Information Technology (ICCIT 2024), IEEE

2026

ICCIT 2024 Paper Presentation — Brain Tumor Detection at ICCIT 2024

Presented the research paper “A Hybrid Approach for Accurate Brain Tumor Detection Using Deep Learning Techniques” at the 27th International Conference on Computer and Information Technology (ICCIT 2024).

ICCIT 2024 Paper Presentation — Software Defect Prediction

27th International Conference on Computer and Information Technology (ICCIT 2024), IEEE

2026

ICCIT 2024 Paper Presentation — Software Defect Prediction

Presented the research paper “Enhancing Software Defect Prediction Accuracy Using Stacking Ensemble Model” at the 27th International Conference on Computer and Information Technology (ICCIT 2024).