info@bauet.ac.bd +8801708503503 (Registrar), +8801708503510 (Deputy Registrar, Acad)
Department of Electrical and Electronic Engineering (EEE)
Bangladesh Army University of Engineering & Technology
Department of Electrical and Electronic Engineering (EEE)
  Important Notice:
Thesis Supervisor Allocation EEE 13th Batch Industrial Attachment Report Submission & Presentation Notice for Thesis and IDP Defense of EEE 11th 12th 13th and 14th Batch Exam routine Fall 2023

Md. Rabiul Islam

Assistant Professor (Ph.D Study Leave)

Md. Rabiul Islam

Assistant Professor (Ph.D Study Leave)

Dept. of EEE

Profile Details


Name of School/

College/

University

Year attended Name of the Exams. passed Year of passing the Exams. Subject studied
from to
Khulna University of Engineering and Technology (Khulna) 2016 2019 M.Sc. in Eng. (EEE) 2019 EEE
Khulna University of Engineering and Technology 2011 2015 B.Sc. in Eng. (EEE) 2015 EEE
New Govt. Degree College 2008 2010 H.S.C. 2010 Science
Aroil High School 2002 2007 S.S.C. 2008 Science
Sl. Position Institution From To Duration
1 Lecturer in

EEE

Bangladesh Army

University of

Engineering &

Technology

08

September

2019

29 February  2020. More than  5 months
2 Senior

Lecturer in

EEE

North Western

University

2

September

2019

3

September  2019

2 Days
3 Lecturer in

EEE

North Western

University

1 January

2016

1

September  2019

3 Years 8

Months

Year SN Article Details Status
Part A: Journal Papers
2021 1. Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, Md. Rashed-Al-Mahfuz, Md. Saiful Islam, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, AKM Azad, Salem A. Alyami, Md Atiqur Rahman Ahad, and Pietro Lio’ (2021), “Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques” IEEE Access, vol. 9, pp. 94601-94624, https://doi.org/10.1109/ACCESS.2021.3091487 Published
2. Md. Rabiul Islam, Md. Milon Islam, Mohammad Ali Moni, Salem A. Alyami Mohiuddin Ahmad, Chayan Mondal, Md. Mustafizur Rahman, Md. Abdul Awal Suvojit Kumar Singha, (2021) “EEG Channel Correlation Based Model for Emotion Recognition” Computers in Biology and Medicine, v.136, p 104757, https://doi.org/10.1016/j.compbiomed.2021.104757 Published
3. Mohammad Marufur Rahman, Md. Milon Islam, Md. Motaleb Hossen Manik, Md. Rabiul Islam and Mabrook S. Al-Rakhami, (2021), “Machine Learning Approaches for Tackling Novel Coronavirus  (COVID-19)  Pandemic” SN Computer Science, vol. 2, no. 5, pp.1-10, https://doi.org/10.1007/s42979-021-00774-7 Published
4. Chayan Mondal, Md. Kamrul Hasan, Md. Tasnim Jawad, Aishwariya Dutta, Md. Rabiul Islam, Md. Abdul Awal, Mohiuddin Ahmad, Salem A. Alyami, Mohammad Ali Moni, (2021) “Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks” Sensors Special Issue on ‘Artificial Intelligence (AI) in Biomedical Imaging’ [Manuscript ID: sensors-1244670] Under Review
5. Md. Mustafizur Rahman, Ajay Krishno Sarkar, Md. Amzad Hossain, Md. Selim Hossain, Md. Rabiul Islam, Md. Biplob Hossain, Julian M.W. Quinn and Mohammad Ali Moni, (2021), “Recognition of human emotions using EEG signals: A review,” Computers in Biology and Medicine, v. 136, p. 104696, https://doi.org/10.1016/j.compbiomed.2021.104696 Published
6. Zillur Rahman, Md. Sabir Hossain, Md. Rabiul Islam, Md. Mynul Hasan and Rubaiyat Alim Hridhee, (2021) “An Approach for Multiclass Skin Lesion Classification Based on Ensemble Learning” Informatics in Medicine Unlocked. https://doi.org/10.1016/j.imu.2021.100659 Published
2020 7. Md. Milon Islam, Md. Repon Islam, Md. Saiful Islam, Sheikh Nooruddin, Muhammad Nomani Kabir and Md. Rabiul Islam, (2020), “Deep Learning Based Systems Developed for Fall Detection: A Review” IEEE Access, vol. 8, pp. 166117-166137 https://doi.org/10.1109/ACCESS.2020.3021943 Published
8. Md. Milon Islam, Saifuddin Mahmud, L. J. Muhammad, Md. Rabiul Islam, Sheikh Nooruddin, Safial Islam Ayon, (2020) “Wearable Technology to Assist the Patients Infected with Novel Coronavirus (COVID-19),” SN Computer Science, vol. 1, no. 6, pp.1-9. https://doi.org/10.1007/s42979-020-00335-4 Published
2019 9. Md. Milon Islam, Nieb Hasan Neom, Md. Samir Imtiaz, Sheikh Nooruddin, Md. Repon Islam and Md. Rabiul Islam, (2019), “A Review on Fall Detection Systems Using Data from Smartphone Sensors,” Ingénierie des Systèmes d’Information (Information Systems Engineering), Lavoisier, vol. 24, no. 6, pp. 569-576. https://doi.org/10.18280/isi.240602. Published
Part B: Conference Papers
2021 1. Suvojit Kumar Singha, Mohiuddin Ahmad and Md. Rabiul Islam, “Multiple Regression Analysis Based Non-Invasive Blood Glucose Level Estimation Using Photoplethysmography,” 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), 8-9 July 2021, Rajshahi, Bangladesh. Accepted (Best Paper Award)
2019 2. Md. Rabiul Islam and Mohiuddin Ahmad, “Virtual Image from EEG to Recognize Appropriate Emotion using Convolutional Neural Network” 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT-2019), May 3-5, Dhaka, Bangladesh. Published
3. Md. Rabiul Islam and Mohiuddin Ahmad, “Wavelet Analysis Based Classification of Emotion from EEG Signal,” 2nd International Conference on Electrical, Computer and Communication Engineering (ECCE 2019), Cox’s Bazar, Bangladesh, February 2019. Published
2016 4. Md. Rabiul Islam, Chayan Mondal, Md. Kawsar Azam and Abu Syed Md. Jannatul Islam, “Text Detection and Recognition using Enhanced MSER Detection and a Novel OCR Technique,” 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), Dhaka, 2016, pp. 15-20. Published
2015 5. Chayan Mondal, Md. Kawsar Azam, Mohiuddin Ahmad, S. M. Kamrul Hasan and Md. Rabiul Islam, “Design and Implementation of a Prototype Electrooculography Based Data Acquisition System,” Proc. of 2nd International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT 2015), Jahangirnagar University, Dhaka, Bangladesh, May 2015. Published
  • Machine Learning
  • Image Processing and Computer Vision
  • Signal Processing and Pattern Recognition
  • Biomedical Signal Processing
  • Neural Networking
  • Artificial Intelligence

Scholarship/Award Received

  • KUET Technical Scholarship – January 2014 – Technical Scholarship for outstanding academic performance

Professional Body Membership

  • IEEE Member – starting from January 2021 – Member of IEEE Bangladesh Section, IEEE Region: R10 -Asia and Pacific
  • IEEE Young Professionals – starting from January 2021 – Member of IEEE Young Professionals

Joined several national and international conferences, 

Participant on “Students Professional Awareness Conference- IEEE, KUET student branch”, 

Participant on “Campus to Corporate Program – NUW”, 

Completed training named “Methods of Instruction (MoI) – BAUET”, 

Founder of a windows application named “Text detection and recognition from images