Samiul Based Shuvo

Education

• MSc in BME (2022-contd.), Bangladesh University of Engineering and Technology
• BSc in BME (2022), Bangladesh University of Engineering and Technology

Research Interests

Machine learning/ AI for Biomedical informatics, Wearable M-health systems, Medical imaging, Bio-instrumentation & low-cost medical devices, Biomedical signal processing

Work Experience

Lecturer – Department of BME, Bangladesh University of Engineering and Technology (BUET), 2022-contd.

Research Experience

• Undergraduate Research Student, mHealth Lab, BUET
• Graduate Research Student, mHealth Lab, BUET

Publication Search

Google scholar |  Researchgate

Selected Publications

1. Journal Publications
   1. Samiul Based Shuvo*, Shams Nafisa Ali*, Soham Irtiza Swapnil*, Taufiq Hasan and Mohammed Imamul Hassan Bhuiyan. (2021). A Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds Using EMD-CWT-based Hybrid Scalogram. IEEE Journal of Biomedical and Health Informatics, 25(7), 2595-2603.
   2. Samiul Based Shuvo*, Shams Nafisa Ali*, Soham Irtiza Swapnil, Mabrook S. Al-Rakhami and Abdu Gumaei. (2021). CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings. IEEE Access, 9, 36955-36967.
   3. Shams Nafisa Ali*, Samiul Based Shuvo*, Md Ishtiaque Sayeed Al-Manzo, Anwarul Hasan, and Taufiq Hasan (2023). “An end-to-end deep learning framework for real-time denoising of heart sounds for cardiac disease detection in unseen noise.” IEEE Access
   4. Samiul Based Shuvo*, Syed Samiul Alam*, Syeda Umme Ayman, Arbil Chakma, Prabal Datta Barua, U Rajendra Acharya. (2023).”NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals.” Biomedical Signal Processing and Control, Volume 86, Part C.

* This author contributed equally and shared the first authorship.

1. Conferences
   1. Nurul Huda, Sadia Khan, Ragib Abid, Samiul Based Shuvo, Mir Maheen Labib, Taufiq Hasan. (2020). A low-cost, low-energy wearable ECG system with cloud-based arrhythmia detection. 2020 IEEE Region 10 Symposium (TENSYMP), 1840-1843

Thesis

1. Undergraduate thesis: Title: A Robust Deep Learning Framework for Real-Time Denoising of Heart Sound, Supervisor: Dr. Taufiq Hasan, Associate Professor, Department of Biomedical Engineering Bangladesh University of Engineering and Technology

Awards

1. 2nd Runner-up prize – “Design For Life” ventilator design challenge organized by EDGE foundation (2020).