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Research Collaboration: AI-DRIVEN INNOVATIONS: FROM IOT MONETIZATION TO SMARTER HEALTHCARE AND LANGUAGE PROCESSING

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By Mansoor Abdulhak
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Research Collaboration: AI-DRIVEN INNOVATIONS: FROM IOT MONETIZATION TO SMARTER HEALTHCARE AND LANGUAGE PROCESSING

🗓️ Timeline

January 2020 – January 2022

👥 Contributors

  • Rowanda D. Ahmed — Main Researcher
  • Mansoor Abdulhak — Collaborateur

📌 Abstract

This collaborative body of research explores the intersection of artificial intelligence (AI), data monetization, and real-world applications across healthcare and information systems. The first study introduces a blockchain-based, on-demand model that empowers Internet of Things (IoT) device owners to monetize their data using smart contracts, offering a decentralized and secure framework for data exchange. The second work presents a novel extractive text summarization method using clustered Transformer models, enhancing contextual understanding and sentence selection to generate more informative and coherent summaries. The third contribution examines the transformative role of AI in healthcare, reviewing its applications in diagnostics, treatment planning, patient engagement, and administrative workflows. Collectively, these studies demonstrate the growing potential of AI-driven technologies to optimize data utilization, improve decision-making, and elevate performance across diverse domains.

📚 Publication

  1. Ahmed, R. D., Abdulhak, M., Azeem, M., Afzal, S. F., & Mughal, U. A. (2022). Artificial intelligence technologies used in healthcare: A study of its implications on the healthcare workforce and applications in the diagnosis of diseases. Open Science Index, 20(16), 95.
  2. Ahmed, R. D., AbdulHak, M., & ELNabrawy, O. H. (2022, June). Text summarization clustered transformer (tsct). In 2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML) (pp. 175-178). IEEE.
  3. Ahmed, R., Abdulhak, M., & Hassan, M. S. (2023). On-demand model and smart contract design for monetizing IoT data. In M. A. Al-Sharafi, M. Al-Emran, M. N. Al-Kabi, & K. Shaalan (Eds.), Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems. ICETIS 2022 (Vol. 584, pp. 570–575). Springer. https://doi.org/10.1007/978-3-031-25274-7_49
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