Ucchwas Talukder Utsha

Advancing real-time medical care with embedded IoT, Cyber-Physical Systems, and edge-AI-driven machine learning.

A selection of my peer‑reviewed publications:

Journals

  1. GAN‑Enhanced Hybrid Deep Learning Model for Real‑Time Cardiac Beat Detection in the CardioHelp App with Edge Computing
    Smart Health (Revision), 2025
    Ucchwas T. Utsha & B. I. Morshed

  2. CardioHelp: A Smartphone Application for Beat‑by‑Beat ECG Signal Analysis for Real‑Time Cardiac Disease Detection Using Edge‑Computing AI Classifiers
    Smart Health, 31, 100446 (2024)
    Ucchwas T. Utsha & B. I. Morshed
    https://doi.org/10.1016/j.smhl.2024.100446

Conferences

  1. Physiological Stress Monitoring with Chest‑Worn ECG and Respiratory Sensing
    IEEE 21st International Conference on Body Sensor Networks (BSN), 2025 (Submitted)
    Ucchwas T. Utsha & B. I. Morshed

  2. Smartphone‑Based Real‑Time Respiration Tracking with Dual‑Sided Inkjet‑Printed Wearable Electrodes
    IEEE 21st International Conference on Body Sensor Networks (BSN), 2025 (Submitted)
    Ucchwas T. Utsha & B. I. Morshed

  3. Multi‑Stage Real‑Time Classification of Breathing Patterns Using ECG and Respiratory Signals
    IEEE 6th World AI IoT Congress, 2025
    Ucchwas T. Utsha & B. I. Morshed

  4. Securing AI‑Driven ECG Classification with Robust Defense Against Boundary Attacks
    IEEE Conference on Secure and Trustworthy CyberInfrastructure for IoT and Microelectronics (SaTC), 2025
    Ucchwas T. Utsha, T. Salman & B. I. Morshed

  5. Edge‑Computing Enabled Real‑Time Respiratory Monitoring and Breathing Pattern Detection
    IEEE 20th International Conference on Body Sensor Networks (BSN), 2024
    Ucchwas T. Utsha & B. I. Morshed

  6. A Smartphone App for Real‑Time Heart Rate Computation from Streaming ECG/EKG Data
    IEEE International Conference on Electro Information Technology (eIT), 2023
    Ucchwas T. Utsha & B. I. Morshed
    https://doi.org/10.1109/eIT57321.2023.10187337

  7. A Smart Health Application for Real‑Time Cardiac Disease Detection and Diagnosis Using Machine Learning on ECG Data
    IFIPIoT 2023 (Advances in Information and Communication Technology, vol. 683), Springer, Cham (2024)
    Ucchwas T. Utsha, I. Hua Tsai & B. I. Morshed
    https://doi.org/10.1007/978-3-031-45878-1_10

  8. Inkjet‑Printed Dry Flexible Electromyography Electrode Array for Classifying Various Finger Movements with AI Algorithms
    IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2024
    Nabonita Mitra, Ucchwas T. Utsha & B. I. Morshed