Ifrah Idrees Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

faculty

3 h-index 10 pubs 33 cited

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Biography and Research Information

OverviewAI-generated summary

Ifrah Idrees is a faculty member at John Brown University whose work encompasses diverse aspects of machine learning and natural language processing. Her research explores speech and dialogue systems, topic modeling, and context-aware activity recognition. Idrees develops multimodal machine learning applications and investigates robot manipulation and learning, including reinforcement learning in robotics. Her recent work focuses on using large language models to derive corrective actions from precondition errors. She also explores grounding complex natural language commands for temporal tasks in new environments and creating realistic simulations of daily human activity. Further, Idrees's work aims to improve the inference of human intent by combining plan recognition and language feedback.

Metrics

  • h-index: 3
  • Publications: 10
  • Citations: 33

Selected Publications

  • λ: A Benchmark for Data-Efficiency in Long-Horizon Indoor Mobile Manipulation Robotics (2025) DOI
  • Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback (2023) DOI

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