King Abdullah University of Science and Technology

Provable Responsible AI and Data Analytics Lab


The Provable Responsible AI and Data Analytics Lab (PRADA Lab) is a research group within the Division of Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) at King Abdullah University of Science and Technology (KAUST). Established in 2021, the lab is currently led by Professor Di Wang.

PRADA Lab focuses on trustworthy machine learning and large models, with research areas including privacy, interpretability, adversarial robustness, and fairness. The lab is also engaged in AI for Science, with applications in optics, optical neural networks, healthcare, and material science.

Presently, the lab has more than 10 members, including 1 visiting professor, 4 postdoctoral researchers, 9 PhD students, 3 collaborative PhD students, and 2 Master's students.



Recent News


September, 2024


One paper has been accepted at Neural Computation!



September, 2024


One paper has been accepted at Information and Computation (IANDC)!



August, 2024


Three papers have been accepted at IEEE Transactions on Computational Social Systems, ACM Transactions on Knowledge Discovery from Data, and IEEE Transactions on Mobile Computing!



July, 2024


Two papers have been accepted at The 1st Conference on Language Modeling (COLM)!



June, 2024


One paper has been accepted at IEEE Transactions on Mobile Computing!


May, 2024


One paper has been accepted at The 62nd Annual Meeting of the Association for Computational Linguistics (ACL)!