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Department of Electrical and Electronic Engineering (EEE)
Bangladesh Army University of Engineering & Technology
Department of Electrical and Electronic Engineering (EEE)
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Board Viva Committee S24 Sessional Examination Routine S24 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. Mahmudul Hasan

Assistant Professor (Ph.D Study Leave)

Md. Mahmudul Hasan
Md. Mahmudul Hasan

Assistant Professor (Ph.D Study Leave)

Dept. of EEE

Profile Details

Masters by Research (MPhil)
Queensland University of Technology (QUT), Australia

B.Sc in EEE
Khulna University of Engineering & Technology (KUET)

Sl. Position Institution From To Duration
1 Lecturer in EEE Bangladesh Army University of Engineering & Technology 10 August 2016 10 February 2019 Two and a half year
Year SN Article Details Status
Part A: Journal Papers
2021 1. Hasan, M.M., Watling, C.N., & Larue, S.G. Physiological signal-based drowsiness detection using machine learning: singular and hybrid approach. Journal of Safety Research (under review). Under Review
2. Komol, M.M.R., Hasan, M.M., & Elhenawy, M. Crash severity analysis for queensland vulnerable  road users using machine learning. Accident Analysis & Prevention (under review). Under Review
3. Hasan,M.M., Hasan,N., Afroz, D., Jibon, F.A., Hossen, M.A, Parvage, M.,S., & Aongkon, J.S. Electroencephalogram based Medical Biometrics using Machine Learning: Assessment of Different Color Stimuli, Advances in Science, Technology and Engineering Systems Journal (Accepted) Manuscript ID: ASTESJ, 20M-12-1248 Accepted, But Not Published
4. Watling, C.N., Hasan, M.M., & Larue, S.G. (2021) Sensitivity and specificity of the driver drowsiness detection methods using physiological signals: a systematic review. Accident Analysis & Prevention, 150, 105900; DOI: https://doi.org/10.1016/j.aap.2020.105900; Link: https://www.sciencedirect.com/science/article/pii/S0001457520317206?via%3Dihub Published
5. Hasan,M.M., Hasan,N., Alsubaie, M.S.A., & Komol, M.M.R. Diagnosis of tobacco addiction using medical signal: an EEG-based time-frequency domain analysis using machine learning. Advances in Science, Technology and Engineering Systems Journal, 6 (1), pp. 842-849 (2021). DOI: http://dx.doi.org/10.25046/aj060193; Link: https://www.scopus.com/record/display.uri?eid=2-s2.0-85100851745&doi=10.25046%2faj060193&origin=inward&txGid=ec0a0027c04b8070a8451e8553392623 Published
6. Hasan,M.M., Hasan,N., & Alsubaie, M.S.A., Development of an EEG controlled wheelchair using color stimuli: a machine learning based approach. Advances in Science, Technology and Engineering Systems Journal, 6 (2), pp. 754-762 (2021). DOI: http://dx.doi.org/10.25046/aj060287; Link: https://astesj.com/v06/i02/p87/ Published
2020 7. Roy, S., Kiratnia, S. G., Roy, P. N., Hasan, M. M., Howlader, A. H., Rahman, M., Islam, M.R., Rana, M. M., Abdulrazak, L.F., Mehedi, I.M., Islam, M.S.& Hossain, M.B. (2020, November) Numerical investigation into optoelectronic performance of ingan blue laser in polar, non-polar and semipolar crystal orientation. Crystals, 10(11),1033 DOI: https://doi.org/10.3390/cryst10111033; Link: https://www.mdpi.com/2073-4352/10/11/1033 Published
2019 8.  Hasan, M. M., Hasan, Rahman, M.M., Observation of Fuel Cell Technology and Upgraded Photovoltaic System for Rural Telecom System in Bangladesh, Bangladesh Army University of Engineering & Technology Journal, pp. 71-78, Volume:1, Issue:2, Qadirabad, Natore, Bangladesh, ISSN 2521-5256. pp. 71-78 (2018) Published
9. Hasan, M.M., Rahman, M. M., Hasan, N., Alim, M. A. Islam, M.M., Geothermal Power Generation possibility and Geothermal sites in Bangladesh: A Review, Bangladesh Army University of Engineering & Technology Journal, pp. 67-81, Volume:1, Issue:1, Qadirabad, Natore, Bangladesh, ISSN 2521-5256. pp. 67-81 (2017) Published
Part B: Conference Papers
2021 1. Hasan, M.M. (2021, April) Development of EEG based wheelchair based on color stimuli. Brain Controlling Technology for Assistive Devices (abstract). ROBOChair Berlin, Germany, 27 April 2021. Published
2. Hasan, M.M., Watling, C.N., Larue, S.G. & King, M. (2021, February) Development of a biomedical signal-based driver sleepiness detection system: a supervised machine learning approach (abstract). 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021), INSTICC, Vienna, Austria, 11-13 February 2021. Published
2020 3. Hasan, M.M., Watling, C.N., & Larue, S.G. (2020, November) Medical signal based drowsiness detection: Exploring the singular and hybrid approach (abstract) Australian Society for Medical Research (ASMR) Queensland Virtual Post Graduate Student Conference- 2020, ASMR, Australia, 10-11 November 2020. Published
2019 4. Hasan, M. M., Hasan, N., Rahman, A., & Rahman, M. M. (2019, July) Effect of smoking in EEG pattern and time-frequency domain analysis for smoker and non-smoker, In 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) (pp. 1-4). IEEE. DOI: 10.1109/IC4ME247184.2019.9036492; Link: https://ieeexplore.ieee.org/document/9036492 (Full-text article) Published
5. Hasan, M. M., Hasan, N., Islam, M. M., & Suhi, M. (2019, May). Human identification based on color stimuli. In 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) (pp. 1-4). IEEE. DOI: 10.1109/ICASERT.2019.8934893; Link:https://ieeexplore.ieee.org/document/8934893 (Full-text article) Published
6. Hasan, N., Hasan, M. M., & Alim, M. A. (2019, May). Design of EEG based wheelchair by using color stimuli and rhythm analysis. In 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) (pp. 1-4). IEEE. DOI:  10.1109/ICASERT.2019.8934493; Link: https://ieeexplore.ieee.org/document/8934493 (Full-text article) Published
2018 7. Hasan, M. M., AshfaqulIslam, M., Imtiyaz, S. A., & Mahbub, H. M. (2018, September). Presumption method for detecting and analysing human mental behavior by employing EEG signal. In 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) (pp. 519-523). IEEE. DOI: 10.1109/ceeict.2018.8628137; Link: https://ieeexplore.ieee.org/document/8628137 (Full-text article) Published
8. Hasan, M. M., Islam, M., Imtiyaz, S. A., Alim, M., Rahman, M., & Hasan, M. M. (2018, December). Harnessing the ocean’s wave power for Bangladesh’s dynamic coastal areas. In Proceedings of the 5th International Conference on Mechanical, Industrial and Energy Engineering (pp. 1-6). Khulna University Engineering and Technology. Link: https://bit.ly/2ZuePzF (Full-text article) Published
2016 9. Hasan, M. M., Sohag, M. H. A., Ali, M. E., & Ahmad, M. (2016, December). Estimation of the most effective rhythm for human identification using EEG signal. In 2016 9th International Conference on Electrical and Computer Engineering (ICECE) (pp. 90-93). IEEE. DOI: 10.1109/ICECE.2016.7853863; Link: http://ieeexplore.ieee.org/document/7853863/ (Full-text article) Published
10. Hasan, M. M., Sohag, M. H. A., & Ahmad, M. (2016, December). EEG biometrics based on small intra-individual and large inter-individual difference of extracted features. In 2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) (pp. 1-4). IEEE. DOI: 10.1109/ICECTE.2016.7879629; Link: http://ieeexplore.ieee.org/document/7879629/ (Full-text article) Published
2015 11. Sohag, H. A., Hasan, M. M., Khatun, M. M., & Ahmad, M. (2015, December). An accurate and efficient solar tracking system using image processing and LDR sensor. In 2015 2nd International Conference on Electrical Information and Communication Technologies (EICT) (pp. 522-527). IEEE. DOI:10.1109/EICT.2015.7392008; Link: http://ieeexplore.ieee.org/document/7392008/ (Full-text article) Published

1. Artificial Intelligence (AI),
2. Applied Machine Learning,
3. Deep Learning and Biomedical Engineering (Signal and Image Processing)

  1. GrantsUNSW Tuition Fee Scholarship QUT Faculty Write-Up Scholarship

    Australian Government Research Training Program (RTP) Scholarship

  2. Awards
    UNSW 3 Minutes Thesis (3-MT) Finalist 2022
    One of the finalists of the UNSW 3 Minutes Thesis (3-MT) competition 2022. Won the First prize in the 3-MT competition at the School of Computer Science Engineering (CSE), UNSW. Secured third position in the 3-MT competition at the Faculty of Engineering, UNSW. https://www.youtube.com/watch?v=jBNmo06fuqo
    https://www.youtube.com/watch?v=VcqPmMhb-LQ