Dawood Wasif

According to our database, Dawood Wasif authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving.

Dawood Wasif, Terrence J. Moore, Chandan K. Reddy, Jin-Hee Cho

CoRR, June, 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, March, 2025

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, March, 2025

2024

How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning.

Yuanyuan Wang, Qian Song, Dawood Wasif, Muhammad Shahzad, Christoph Koller, Jonathan Bamber, Xiao Xiang Zhu

CoRR, 2024

2023

Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification.

Dawood Wasif, Yuanyuan Wang, Muhammad Shahzad, Rudolph Triebel, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

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, Karsten Berns, M. M. Fraz

Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022