Profile

Md Mayenul Islam

মোঃ মঈনূল ইসলাম

Assistant Professor

  •  Room No:  EEE Building, 1st Floor
  •  Phone:   880-1533732595 , 880-1795908703
  •  Email:   mayenulislam18@gmail.com
  • mayenulislam15@eee.ruet.ac.bd
Field of Research
  •  Biomedical Signal Processing
  •  Wearable Healthcare Device
  •  Machine Learning
  •  Deep Learning
ORCID ResearchGate Google Scholar
  •  First Joined: 12th Dec, 2021
  •      Dept. of Electrical & Electronic Engineering

Position

Education

Book / Book Chapter
0
Journal Articles
2
Conference Papers
5
SL Authors Title Publisher Details Publication Year Type
1 Md Mayenul Islam, Sumaiya Kabir, and Mohammod Abdul Motin Difference Poincaré Image Feature-Based Persistent Atrial Fibrillation Classification Using Short-Term Electrocardiograms IEEE Sensors Letters 2024 Journal
2 M. A. Malek, M. A. G. Khan, M. M. Hasan, M. M. Islam and M. R. Islam A new single-phase cycloconverter with reduced harmonics Electrical Engineering (Springer) 2023 Journal
3 Md Mayenul Islam and Mohammod Abdul Motin Detection of Persistent Atrial Fibrillation Using ECG Signal 50th Computing in Cardiology (CinC), Atlanta, USA 2023 Conference
4 M. M. Islam and M. A. Motin An automated approach for atrial fibrillation detection using electrocardiogram IEEE 2023 Conference
5 M. S. K. Sakib, M. M. Islam and M. A. Motin The investigation of heart rate variability for paroxysmal atrial fibrillation detection IEEE 2023 Conference
6 M. M. Islam, M. A. G. Khan and M. A. Malek Analysis of an IGBT Based AC Chopper Driving RL Load for Oscillation Free Output Voltage IEEE 2021 Conference
7 M. A. Malek, M. A. G. Khan and M. M. Islam An 18-Pulse Uncontrolled Star Rectifier for Input Line Current Harmonic Reduction IEEE 2019 Conference
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description