Research

2025

1. IGARSS’25

   Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features

   Osama Ahmad, Zubair Khalid, Muhammad Tahir, and 1 more author

   2025

   Bib

   @article{ahmad2025spatiotemporal,
     title = {Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features},
     author = {Ahmad, Osama and Khalid, Zubair and Tahir, Muhammad and Uppal, Momin},
     booktitle = {IGARSS 2025-2025 IEEE International Geoscience and Remote Sensing Symposium},
     pages = {5979--5983},
     year = {2025},
     url = {https://ieeexplore.ieee.org/document/11242662},
     publisher = {IEEE}
   }

2. IJCNN’25

   Robust and noise-resilient long-term prediction of spatiotemporal data using variational mode graph neural networks with 3D attention

   Osama Ahmad and Zubair Khalid

   In 2025 International Joint Conference on Neural Networks (IJCNN), 2025

   Bib

   @inproceedings{ahmad2025robust,
     title = {Robust and noise-resilient long-term prediction of spatiotemporal data using variational mode graph neural networks with 3D attention},
     author = {Ahmad, Osama and Khalid, Zubair},
     booktitle = {2025 International Joint Conference on Neural Networks (IJCNN)},
     pages = {1--8},
     year = {2025},
     url = {https://ieeexplore.ieee.org/document/11227968},
     publisher = {IEEE}
   }

2024

1. ICONIP’24

   Mending of spatio-temporal dependencies in block adjacency matrix

   Osama Ahmad, Omer Abdul Jalil, Usman Nazir, and 1 more author

   International Conference on Neural Information Processing, 2024

   Bib

   @article{ICONIP'24,
     title = {Mending of spatio-temporal dependencies in block adjacency matrix},
     author = {Ahmad, Osama and Abdul Jalil, Omer and Nazir, Usman and Taj, Murtaza},
     journal = {International Conference on Neural Information Processing},
     url = {https://link.springer.com/chapter/10.1007/978-981-96-6594-5_25},
     pages = {346--360},
     year = {2024},
     publisher = {Springer}
   }