Publications

Journal articles, conference papers, and preprints on medical imaging, computer vision, and language models. Q1/Q2 refer to journal quartile ranking.

Under review

  1. First authorUnder review

    EduRAG: An LLM-Powered Retrieval-Augmented Framework for Educational Applications

    A. Manaf, et al.

    Submitted to Discover Artificial Intelligence (Springer Nature)

    Benchmarks GPT, Gemini, LLaMA, Mistral, and DeepSeek RAG pipelines across three university courses. GPT-RAG led on answer relevancy (0.88–0.98); Gemini-RAG on faithfulness (0.72–0.84).

2026

  1. JournalQ1

    Do Language Families Matter? Evaluating LLMs for Sentiment Analysis Through a Hierarchical Cross-Lingual Lens

    M. Kastrati, A. Manaf, A. S. Imran, Z. Kastrati, S. M. Daudpota, M. Biba

    Frontiers in Artificial Intelligence, vol. 9, 1854873

  2. JournalQ1

    Exploring the Impact of Self-Supervised Learning and Swin-B Transformer on Saliency Maps and Performance in Multi-Label Chest X-Ray Classification

    T. Ahmed, A. Ahmed, A. S. Imran, M. Ullah, A. Manaf, A. Soylu

    IEEE Access

    Work with the ISA Research Group at NTNU. Swin-B with self-supervised pre-training reached AUC 0.83 on multi-label pathology detection.

2025

  1. First authorJournalQ1

    Aerial Image Classification in Post-Flood Scenarios Using Robust Deep Learning and Explainable Artificial Intelligence

    A. Manaf, N. Mughal, K. R. Talpur, B. A. Talpur, G. Mujtaba, S. R. Talpur

    IEEE Access, vol. 13, pp. 35973–35984

    MobileNet and Xception reached about 98% accuracy and a 0.92 F1-score on the flood class; LIME explanations for model decisions.

  2. JournalQ2

    Fake Reviews Detection on E-Commerce Websites Using Novel User Behavioral Features: An Experimental Study

    N. Mughal, G. Mujtaba, M. H. Mughal, A. Manaf, Z. Kamangar

    ACM Transactions on Asian and Low-Resource Language Information Processing

2024

  1. JournalQ1

    Enhancing Wrist Abnormality Detection with YOLO: Analysis of State-of-the-Art Single-Stage Detection Models

    A. Ahmed, A. S. Imran, A. Manaf, Z. Kastrati, S. M. Daudpota

    Biomedical Signal Processing and Control (Elsevier), vol. 93, 106144

    YOLOv8 on GRAZPEDWRI-DX: 0.95 mAP on fractures, 0.77 mAP overall.

  2. Conference

    Small Data, Big Impact: A Multi-Locale Bone Fracture Detection on an Extremely Limited Dataset via Crack-Informed YOLOv9 Variants

    A. Ahmed, A. Manaf, A. S. Imran, Z. Kastrati, S. M. Daudpota

    International Conference on Frontiers of Information Technology (FIT), pp. 1–6

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Theses

Degree research

  1. MS Thesis · 2025

    A Multimodal Framework to Generate the Lesion Description from ROI-Guided Medical Image Through Vision-Language Model

    Sukkur IBA University · Supervisors: Dr. Ghulam Mujtaba Shaikh, Dr. Sher Muhammad Daudpota

    ROI-guided pipeline comparing MedFlamingo, MedLLaVA, MedGemma, and Qwen2-VL under full fine-tuning, LoRA, and zero-shot settings on MedTrinity-25M, evaluated with RAGAS.

  2. BS Final Project · 2023

    Enhancing Wrist Abnormality Detection with YOLO: Analysis of State-of-the-Art Single-Stage Detection Models

    Sukkur IBA University · Later published in Biomedical Signal Processing and Control