Ahmad Saeed Khan
Ahmad Saeed Khan Befattning: Forskningsassistent (doktorand) Organisation: Institutionen för naturvetenskap och teknikE-post: YWhtYWQtc2FlZWQua2hhbjtvcnUuc2U=
Telefon: 019 301226
Rum: T1209
Om Ahmad Saeed Khan
Ahmad is a PhD student at the school of science and technology and also part of CoAIRob school. He is associated with WASP, and his industrial partner is H&M. Ahmad is a member of the Adaptive and Interpretable Learning Systems (AILS) lab. His research project is about counterfactual reasoning. He is working on estimating Individual treatment effects by inferring counterfactual outcomes from observational data.
Forskargrupper
Publikationer
Artiklar i tidskrifter |
Artiklar, forskningsöversikter |
Konferensbidrag |
Artiklar i tidskrifter
- Hu, X. , Zhang, B. , Al-Dossari, M. , El-Gawaad, N. S. A. , Rakhimzhanova, M. & Khan, A. S. (2026). Robust watermarking for diffusion models using error-correcting codes and post-quantum key encapsulation. Frontiers in Physics, 13. [BibTeX]
- Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2025). DFW: a novel weighting scheme for covariate balancing and treatment effect estimation. Frontiers in Applied Mathematics and Statistics, 11. [BibTeX]
Artiklar, forskningsöversikter
- Lahoud, A. A. , Khan, A. S. , Schaffernicht, E. , Trincavelli, M. & Stork, J. A. (2025). Predict-and-Optimize Techniques for Data-Driven Optimization Problems: A Review. Neural Processing Letters, 57 (2). [BibTeX]
Konferensbidrag
- Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2026). Policy-Focused Evaluation of Individualized Vasopressor Effects with Robustness to Irrelevant Covariates in MIMIC-III ICU Data. I: Sergey Y. Yurish, Artificial Intelligencein Medicine and Healthcare Proceedings of the 2nd International Conferenceon AI in Medicine and Healthcare (AiMH' 2026); 24-26 June 2026, Palma de Mallorca (Balearic Islands), Spain. Konferensbidrag vid 2nd International Conference on AI in Medicine and Healthcare (AiMH' 2026), Palma de Mallorca, Spain, June 24-2, 2026. (ss. 67-79). International Frequency Sensor Association (IFSA) Publishing. [BibTeX]
- Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2026). Seeing Inside Deep Treatment Effect Models: A Representation-Level Evaluation. I: Maria De Marsico; Tin Kam Ho; Frederic Jurie; Cheng-Lin Liu; Daniel Lopresti; Ingela Nyström; Jean-Marc Ogier; Arun Ross; Liang Wang, Pattern Recognition 28th International Conference, ICPR 2026, Lyon, France, August 17–22, 2026, Proceedings, Part V; Conference proceedings. Konferensbidrag vid 28th International Conference on Pattern Recognition (ICPR 2026), Lyon, France, August 17-22, 2026. (ss. 694-708). Springer. [BibTeX]
- Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2025). Beyond Causal Accuracy: Evaluating Representation Quality in Deep Treatment Effect Estimation. Konferensbidrag vid EurIPS, Copenhagen, Denmark, December 2-7, 2025. [BibTeX]
- Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2024). On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. I: Ulle Endriss; Francisco S. Melo; Kerstin Bach; Alberto Bugarín-Diz; José M. Alonso-Moral; Senén Barro; Fredrik Heintz, 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Konferensbidrag vid 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 19-24, 2024. (ss. 2822-2829). Amsterdam: IOS Press. [BibTeX]