Ahmad Farooq Source Confirmed

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

Graduate Research and Teaching Assistant

University of Arkansas at Little Rock

grad_student

2 h-index 10 pubs 60 cited

Research Areas

Reinforcement Learning in Robotics Natural Language Processing Techniques Advanced Neural Network Applications Robotics and Sensor-Based Localization Topic Modeling AI in cancer detection

Links

ORCID

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OverviewAI-generated summary

Ahmad Farooq's research focuses on the intersection of artificial intelligence, robotics, and natural language processing. He investigates the use of Reinforcement Learning (RL) and Multi-Agent Systems for controlling autonomous robots in unknown environments, addressing challenges in dynamic adaptation and collaborative decision-making. This work extends to exploring Learning-based Perception for robot control. In parallel, Farooq is advancing state-of-the-art Text Summarization techniques, specifically Extractive and Abstractive methods. His efforts in NLP involve incorporating various forms of knowledge, such as knowledge graphs and temporal knowledge, to improve summarization systems. His work also touches upon ethical considerations in AI and trustworthy robotic systems, as well as recommender systems.

Metrics

  • h-index: 2
  • Publications: 10
  • Citations: 60

Selected Publications

  • Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction (2025) DOI
  • Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems (2025) DOI
  • MIND-SBERT: An Explainable and Trustworthy Article Retrieval and Summarization System (2025) DOI
  • Abstractive text summarization: State of the art, challenges, and improvements (2024) DOI

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