Exploring Vision Transformers and Explainable AI for Enhanced Artefact Classification in Esophageal Endoscopic Images. - Preeti Bissoonauth-Daiboo; Muhammad Muzzammil Auzine; Muhammad I. Khan; Fatima Alshannaq; Tanzila Saba; Xiaohong W. Gao; Maleika Heenaye-Mamode Khan (IEEE Access, 2025)

Short-Term Multi-Hazard Prediction Using a Multi-Source Data Fusion Approach. - Syeda Zoupash Zahra; Najia Saher; Malik Muhammad Saad Missen; Rab Nawaz Bashir; Salma Idris; Tahani Jaser Alahmadi; Muhammad I. Khan (Comput. Mater. Continua, 2025)

ENeTAMIB: an attention-inception-based model for accurate and explainable skin disease diagnosis. - Faten S. Alamri; Muhammad Mujahid; Abeer Rashad Mirdad; Muhammad I. Khan (PeerJ Comput. Sci., 2025)

A unified spectral-persistent homology framework for stable and generalizable topological deep learning. - Saif Hameed Abbood Alwaeli; Ali A. Abdulsaeed; Shams Jamal Fayyadh; Muhammad I. Khan; Abdallah Yousif; Tanzila Saba; Saeed Ali Bahaj (Discov. Comput., 2025)

STDSE-Net: A GIS-Driven AI Framework for Dynamic Ensemble-Based Energy Emission Prediction. - Pankaj Verma; Krishna Gandhi; Salma Idris; Faten S. Alamri; Muhammad I. Khan (IEEE Access, 2026)

Advances in Machine Learning for Explainable Intrusion Detection Using Imbalance Datasets in Cybersecurity with Harris Hawks Optimization. - Amjad Rehman; Tanzila Saba; Mona M. Jamjoom; Shaha T. Al-Otaibi; Muhammad I. Khan (Comput. Mater. Continua, 2026)

Multimodal Deep Learning Radiomics Nomogram for Preoperative Breast Cancer Prediction Using Ultrasound Imaging and Clinical Data. - Yucheng Guan; Tariq Mahmood 001; Yu Wang 324; Muhammad I. Khan; Muhammad Nazam (Int. J. Comput. Intell. Syst., 2026)

Sentiment-informed causal reinforcement learning for solar energy policy optimization. - Asif Jabbar; Jingbo Yuan; Salma Idris; Muhammad I. Khan; Tariq Mahmood 001 (J. Big Data, 2026)