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Dr Md Abdullah Al Zubaer
Associate Professor
CSE
Faculty of Science, Engineering and Technology
Ph.D. in Electronic Engineering
Kwangwoon University, Seoul, South Korea
September 2016 - February 2022
M.Sc. in Electrical and Electronics Engineering
Islamic University, Kushtia, Bangladesh
2010 - 2012 (Passing Year)
B.Sc. in Electrical and Electronics Engineering
Islamic University, Kushtia, Bangladesh
2006 - 2010 (Passing Year)
Industrial Training
Training Institute for Chemical Industries
Industrial Control Technology on Electrical Engineering and Instrumentation
GPA 4.00 | 2nd position out of 36 participants
Polash, Narsingdi, Bangladesh
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September 2016 – February 2022 |
Research Assistant Smart Home & Building Lab., Department. Of Electronic Engineering, Kwangwoon University, Seoul, South Korea.
Responsibilities:
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Publications |
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30 June 2022 (Published) |
Prediction of SPAD values for paddy leaves using direct contact imaging method. Journal of Bangladesh Agricultural University, 20(2): 211–216. https://doi.org/10.5455/JBAU.100059 |
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19 January 2022 (Published) |
Detecting COVID-19 Status Using Chest X-ray Images and Symptoms Analysis by Own Developed Mathematical Model: A Model Development and Analysis Approach. COVID 2022, 2(2), 117-137; |
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20 December 2021 (Published) |
Detecting Cognitive Impairment Status Using Keystroke Patterns and Physical Activity Data among the Older Adults: A Machine Learning Approach. Journal of Healthcare Engineering, vol. 2021, Article ID 1302989, 16 pages, 2021. |
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8 October 2021 (Published) |
Improving R Peak Detection in ECG Signal Using Dynamic Mode Selected Energy and Adaptive Window Sizing Algorithm with Decision Tree Algorithm Sensors 2021, 21, 6682. https://doi.org/10.3390/s21196682 |
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21 July 2021 (Published) |
Adapted Long Short-Term Memory (LSTM) for Concurrent Human Activity Recognition. CMC-Computers, Materials & Continua, 69(2), 1653–1670. https://www.techscience.com/cmc/v69n2/43845 |
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12 October 2020 (Published) |
A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition. Sensors 2020, 20, 5770. https://doi.org/10.3390/s20205770 |
Research Interest
Research
| Employee ID: | |
| Mobile No: | +8801721793272 |
| Email: | zubaer@hamdarduniversity.edu.bd |
| Nationality: | Bangladeshi |
| Date of Birth: | |
| Joining Date: |