MD Asif Bin Khaled

Istiaq Ahmed, Faiza Omar Arpita, Md Asif Bin Khaled, Ashraful Islam, M Ashraful Amin

Can Small LLMs Replace Fine-Tuned BERT for Bangla Natural Language Inference?

2026 Third International Conference on Innovations in Cybersecurity and Data Science (ICICDS), pp. 853-859, 2026

• small language models
• Bengali language
• natural language inference
• fine-tuned BERT
• multilingual language models

Mustaqueem Alam, J. M. Sadik-Ul Islam Smaron, Rashedur Rahman, Md Asif Bin Khaled, Ashraful Islam, M. Ashraful Amin

Evaluating the Impact of Image Preprocessing on Deep Learning-Based Fetal Ultrasound Classification Under Class Imbalance

2026 Third International Conference on Innovations in Cybersecurity and Data Science (ICICDS), pp. 128-135, 2026

• image preprocessing
• class imbalance
• deep learning classification
• prenatal ultrasound
• medical image classification
• prenatal diagnosis

• SDG 3Good Health and Well-being

Md Jahidul Hossain Mekat, Kazi Samin Nawal, Jasper Oliver D Rozario, Siam Tahsin Bhuiyan, Md Asif Bin Khaled, Md Rashedur Rahman, Ashraful Islam, Saadia Binte Alam

Deep Learning-Based Stenosis Segmentation in X-ray Angiography: Vision Transformers vs. CNNs

2025 28th International Conference on Computer and Information Technology (ICCIT), pp. 3553-3558, 2025

• EfficientNet
• vision transformer
• convolutional neural networks
• ResNet
• X-ray angiography
• coronary artery disease
• SegFormer
• automated image analysis
• vascular morphology

• SDG 3Good Health and Well-being

Md Zahangir Alam, Suryaia Rahman, Md Asif Bin Khaled, Ashraful Islam, Abbas Jamalipour

A Graph-Assisted Digital-Twin-Driven Multiagent Shared Offloading for Internet of Vehicles

IEEE Internet of Things Journal 12(11), pp. 17349-17363, 2025

• vehicular edge computing
• Lyapunov optimization
• digital twin
• Internet of Vehicles
• task offloading
• queue stability
• latency-energy tradeoff
• multi-agent reinforcement learning
• deep deterministic policy gradient
• energy efficiency