Armun Alam

Abu Tyeb Azad, Fahim Ahmed, Ishita Sur Apan, Ezharuddin Jubaer, Sumaiya Karim Katha, Armun Alam, Amin Ahsan Ali, Aman Chadha, Md Mofijul Islam, AKM Mahbubur Rahman

Khondo: A Multimodal Benchmark for Document Packet Splitting of Bangla Forms

arXiv (Cornell University), 2026

• multimodal benchmark
• vision-language models
• document segmentation
• document clustering
• administrative documents

Abu Tyeb Azad, Ishita Sur Apan, Fahim Ahmed, Sumaiya Karim Katha, Ezharuddin Jubaer, Armun Alam, Pranjal Kumar Nandi, Amin Ahsan Ali, Aman Chadha, Md Mofijul Islam, AKM Mahbubur Rahman

BaFCo: A Document Understanding Benchmark for Complex Bangla Form Comprehension

Computer Vision – ECCV 2026, pp. 402-420, 2026

• key information extraction
• multimodal large language models
• document layout analysis
• government forms
• chain-of-thought prompting
• low-resource languages
• zero-shot prompting
• document understanding
• Bengali language
• annotated dataset

Ovi Paul, Abu Bakar Siddik Nayem, Anis Sarker, Rakibul Hasan Rajib, Tahmid Hossain Jit, Armun Alam, M Ashraful Amin, Amin Ahsan Ali, AKM Mahbubur Rahman

BOLM high resolution land use and land cover dataset and benchmark results for the rapidly developing City of Dhaka Bangladesh

Scientific Reports 15(1), pp. 37689, 2025

• land use and land cover mapping
• data-scarce regions
• DeepLabV3+
• U-Net
• Sentinel-2A
• Dhaka Metropolitan Area
• pixel-level annotation
• urban development

Nabarun Halder, Armun Alam, Jahanggir Hossain Setu, Ashraful Islam, M. Ashraful Amin

Emotion Recognition in Bangla Text: An Ensemble Approach with Data Augmentation using BanglaBERT and MultiBERT

2025 17th International Conference on Computer and Automation Engineering (ICCAE), pp. 6-11, 2025

• class imbalance
• data augmentation
• BanglaBERT
• back-translation
• Bengali language
• multi-class emotion classification
• Ensemble learning

Nabarun Halder, Armun Alam, Jahanggir Hossain Setu, Asif Mahmood, Ashraful Islam, M Ashraful Amin

Analyzing Machine Learning Models for Multiclass Classification of Human Stress Levels: Comparison Between Balanced and Imbalanced Data

2025 17th International Conference on Knowledge and Smart Technology (KST), pp. 104-109, 2025

• distress
• k-nearest neighbors
• class imbalance
• Logistic regression
• multi-class classification
• Support vector machine
• Multilayer perceptron
• SMOTE
• eustress
• Decision tree

• SDG 3Good Health and Well-being

Jahanggir Hossain Setu, Armun Alam, Nabarun Halder, Asif Mahmood, Ashraful Islam, M. Ashraful Amin

IoV Cyberattack Detection via TabTransformer on CAN Bus Communications

Innovative Computing 2025, Volume 4, pp. 59–65, 2025

• SMOTE-Tomek
• SMOTE-ENN
• Internet of Vehicles
• class imbalance
• TabTransformer
• cyberattack detection
• CAN bus
• electronic control units
• automotive network security

Armun Alam, Jahanggir Hossain Setu, Syed Tangim Pasha, Nabarun Halder, Ashraful Islam, M. Ashraful Amin

Cross-Dataset Framework for Diabetes Prediction with KAN and MLP

Innovative Computing 2025, Volume 4, pp. 66–72, 2025

• Multilayer perceptron
• diabetes prediction
• cross-dataset evaluation
• Kolmogorov-Arnold networks
• XGBoost feature selection
• Pima Indians diabetes dataset
• class imbalance
• diabetes classification

• SDG 3Good Health and Well-being