Syed Ihtesham Shah

Postdoc at Vrije Universiteit Amsterdam. Interpretable & Responsible AI, Inverse Reinforcement Learning, XAI, Multimodal Learning.

Areas: Interpretable AI, Responsible AI, Inverse Reinforcement Learning, XAI, Multimodal Learning

News

  • July 2026: Our paper "Addressing Incomplete Data in Survival and Quality of Life Prediction: A Pancreatic Cancer Case Study" won the Best Paper Award at AIME 2026.
  • June 2026: I will be presenting our recent work on "Addressing Incomplete Data in Survival and Quality of Life Prediction: a Pancreatic Cancer Case Study" at PersOn consortium meeting in Utrecht, Netherlands .
  • Feb 2026: For VU/UvA AI students: I am accepting thesis supervision students for Spring 2026; topics will be published on our group's Canvas page.
  • I will be teaching AI in Health courses again in 2026.
  • Delivered a talk on "Interpreting Model-agnostic Black-box Explanation Techniques" at the AI in Healthcare seminar at VU Amsterdam.
  • Our paper on evaluation of explainability methods is available — the publicly accessible version is here.
  • Organizing a two-day research activity in Utrecht for the Learning & Reasoning Group (VU) focused on reproducibility, replicability, and generalizability.
  • Presented "Evaluation of Model-agnostic explanation techniques on healthcare dataset" at HealthInf 2025.
  • Visited KU Leuven and presented research during a collaboration visit.
  • Presented a poster at BNAIC 2025.
  • Presented work on "Inverse Reinforcement Learning for Dynamic Treatment Regimes" at the PersOn consortium meeting in Nijmegen.