Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas. - Muhammad Umair Danish; Madhushan Buwaneswaran; Tehara Fonseka; Katarina Grolinger (IECON, 2024)

ChebyRegNet: An Unsupervised Deep Learning Technique for Deformable Medical Image Registration. - Muhammad Umair Danish; Mohammad Noorchenarboo; Apurva Narayan; Katarina Grolinger (IECON, 2024)

A Comparative Study of Image Denoising Algorithms. - Muhammad Umair Danish (CoRR, 2024)

Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers. - Muhammad Umair Danish; Katarina Grolinger (CoRR, 2025)

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences. - Muhammad Umair Danish; Mathumitha Sureshkumar; Thanuri Fonseka; Umeshika Uthayakumar; Vinura Galwaduge (CoRR, 2025)

Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types. - Muhammad Umair Danish; Katarina Grolinger (CoRR, 2025)

Seeing Through Risk: A Symbolic Approximation of Prospect Theory. - Ali Arslan Yousaf; Umair Rehman; Muhammad Umair Danish (CoRR, 2025)

Towards a unified evaluation framework: integrating human perception and metrics for AI-generated images. - Memoona Aziz; Umair Rehman; Muhammad Umair Danish; Syed Ali; Amir Zaib Abbasi (Multim. Syst., 2025)

Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images. - Memoona Aziz; Umair Rehman; Muhammad Umair Danish; Katarina Grolinger (IEEE Trans. Hum. Mach. Syst., 2025)

Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data. - Dumindu Tissera; Omar Awadallah; Muhammad Umair Danish; Ayan Sadhu; Katarina Grolinger (CoRR, 2025)