2 publications

• Published Subscription Original Research Special issue 22 Aug 2025

  Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT

  By Manoj M., Remya M., Shady Gomaa Abdulaziz, Wedad Obaidallah Alahamade, Asmaa Hatem Rashid Abogamous, Subarno Bhattacharyya

  Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …

  Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article →

• Published Subscription Original Research 22 Jul 2025

  AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams

  By Praveena Murala, Pedapati Veerababu, Shailaja Mantha, Subarno Bhattacharyya, Reshma V. K, C. M. Sheela Rani

  Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …

  Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article →