Table Detection Using Deep Learning. - Azka Gilani; Shah Rukh Qasim; Muhammad Imran Malik; Faisal Shafait (ICDAR, 2017)

Rethinking Table Recognition using Graph Neural Networks. - Shah Rukh Qasim; Hassan Mahmood; Faisal Shafait (ICDAR, 2019)

Learning representations of irregular particle-detector geometry with distance-weighted graph networks. - Shah Rukh Qasim; Jan Kieseler; Yutaro Iiyama; Maurizio Pierini (CoRR, 2019)

Rethinking Table Parsing using Graph Neural Networks. - Shah Rukh Qasim; Hassan Mahmood; Faisal Shafait (CoRR, 2019)

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. - Yutaro Iiyama; Gianluca Cerminara; Abhijay Gupta; Jan Kieseler; Vladimir Loncar; Maurizio Pierini; Shah Rukh Qasim; Marcel Rieger; Sioni Summers; Gerrit Van Onsem; Kinga Anna Wozniak; Jennifer Ngadiuba; et al. (Frontiers Big Data, 2020)

End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks. - Shah Rukh Qasim; Nadezda Chernyavskaya; Jan Kieseler; Kenneth Long; Oleksandr Viazlo; Maurizio Pierini; Raheel Nawaz (CoRR, 2022)

Physics Instrument Design with Reinforcement Learning. - Shah Rukh Qasim; Patrick Owen; Nicola Serra (CoRR, 2024)