Extraction of Rice Phenological Metrics Using Temporally Correlated Multispectral Drone Imagery. - Dawood Wasif; M. Q. Khan; Ramesha Murtaza; M. Z. Ahmad; Zuhair Zafar; Muhammad Shahzad 002; Karsten Berns; M. M. Fraz 001 (SITIS, 2022)

Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification. - Dawood Wasif; Yuanyuan Wang 002; Muhammad Shahzad 002; Rudolph Triebel; Xiao Xiang Zhu 001 (IGARSS, 2023)

How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning. - Yuanyuan Wang 002; Qian Song; Dawood Wasif; Muhammad Shahzad 002; Christoph Koller; Jonathan Bamber; Xiao Xiang Zhu 001 (CoRR, 2024)

Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI. - Dawood Wasif; Dian Chen; Sindhuja Madabushi; Nithin Alluru; Terrence J. Moore; Jin-Hee Cho (CoRR, 2025)

RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles. - Dawood Wasif; Terrence J. Moore; Jin-Hee Cho (CoRR, 2025)

DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving. - Dawood Wasif; Terrence J. Moore; Chandan K. Reddy; Jin-Hee Cho (CoRR, 2025)