Ahmad Farooq Data-verified

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

Graduate Research and Teaching Assistant

Last publication 2025 Last refreshed 2026-05-16

grad_student

2 h-index 8 pubs 70 cited

Biography and Research Information

OverviewAI-generated summary

Ahmad Farooq's research centers on the application of Reinforcement Learning (RL) and Multi-Agent Systems for autonomous robot control in unknown environments. His work investigates challenges related to dynamic adaptation, collaborative engagement, and decision-making under uncertainty. He also explores the use of learning-based perception for robot control in these settings.

In parallel, Farooq contributes to Natural Language Processing (NLP) by focusing on Extractive and Abstractive Text Summarization. His efforts aim to improve these techniques by integrating various knowledge forms, including knowledge graphs, knowledge representation, temporal knowledge, and knowledge acquisition. His scholarly output includes work on explainable AI for robotic systems and advancements in article retrieval and summarization systems.

Metrics

  • h-index: 2
  • Publications: 8
  • Citations: 70

Selected Publications

  • Reimagining Peer Review Process Through Multi-Agent Mechanism Design (2026)
  • Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction (2025)
  • Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems (2025)
  • MIND-SBERT: An Explainable and Trustworthy Article Retrieval and Summarization System (2025)
  • Abstractive text summarization: State of the art, challenges, and improvements (2024)
    61 citations DOI OpenAlex

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Collaboration Network

14 Collaborators 5 Institutions 3 Countries

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