Sameer Singh

University of Exeter, University of California, Irvine

Papers

Total Citations

1,426

H-Index

About

Sameer Singh is a leading researcher in artificial intelligence, with a primary focus on machine learning robustness, interpretability, and grounded language understanding. His early foundational work on novelty detection, particularly the highly cited review "Novelty detection: a review—part 1: statistical approaches" (over 1,400 citations), established critical frameworks for identifying anomalous patterns in data—a cornerstone for reliable AI systems. This contribution has had lasting impact across fields like cybersecurity and autonomous systems. More recently, Singh has advanced the intersection of language and robotics, exemplified by his work on modular frameworks for visuomotor language grounding, which addresses data inefficiency in instruction-following tasks by decomposing language, action, and visual processing. His research consistently pushes toward more trustworthy and interpretable AI, earning him recognition as a thought leader in the community. With a career spanning both theoretical foundations and practical applications, Singh’s work continues to shape how machines learn from and interact with the world.