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Mr Md Mahmudul Hasan
Casual Academic

Mr Md Mahmudul Hasan

2019 – 2021




Master of Philosophy (M Phil)

Centre for Accident Research and Road Safety- Queensland (CARRS-Q)
Queensland University of Technology (QUT), Australia

Research Area

Signal Processing, Machine Learning and Biomedical Engineering

Result
 
7.00 out of 7.00 (High Distinction) in compulsory coursework
 
2011 - 2016
 
Bachelor of Science in Electrical and Electronic Engineering (EEE)

Khulna University of Engineering & Technology (KUET), Bangladesh
 
Research Area
 
Signal Processing & Machine Learning

Result
 
3.80 (83% marks) out of 4.00 (First-class Honours; with High Distinction)

Class position: 7th (out of 107 students)
Engineering
Computer Science and Engineering

Md Mahmudul Hasan is a PhD researcher (Engineering) and casual academic (Engineering) at Faculty of Engineering at The University of New South Wales (UNSW). Hasan has completed his Masters by Research Degree (MPhil) in Signal Processing, Machine Learning & Biomedical Engineering (2021) from Queensland University of Technology (QUT), Australia. Before that, he completed his Bachelor degree in Electrical & Electronic Engineering (EEE) from Khulna University of Engineering & Technology (KUET) in 2016.

Mahmudul is one of the Finalists in UNSW 3 Minutes Thesis (3-MT) 2022, who won the First Prize in UNSW School of CSE 3 Minutes Thesis (3-MT) Competition 2022 and secured the third Position at the UNSW Faculty of Engineering 3 Minutes Thesis (3-MT) Competition 2022. Mahmudul loves to apply his engineering knowledge to Medical applications, particularly relating to his PhD research project in Medical Imaging and Applied Machine Learning/Deep Learning.

Mr Hasan has been involved in various multidisciplinary research projects in Electrical & Biomedical Engineering, including Medical Biometrics, Sleep research/cognition, EEG based emotion detection, camera-based solar tracker and was awarded the "Australian Govt. RTP Scholarship", "University Dean's Award" and “Joy Bangla Youth Award-2015” as a recognition. Apart from his research activities, Hasan is a successful content writer. He loves skateboarding, coding, vlogging, cycling, hiking, and travelling.

 
E-mail
md_mahmudul.hasan@unsw.edu.au
Location
Building K17, UNSW, Sydney 2052, Australia
  • Journal articles | 2023
    Hasan MM; Phu J; Sowmya A; Meijering E; Kalloniatis M, 2023, 'Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases', Clinical and Experimental Optometry, pp. 1 - 17, http://dx.doi.org/10.1080/08164622.2023.2235346
    Journal articles | 2022
    Hasan MM; Watling CN; Larue GS, 2022, 'Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches', Journal of Safety Research, 80, pp. 215 - 225, http://dx.doi.org/10.1016/j.jsr.2021.12.001
    Journal articles | 2022
    Roni MHK; Rana MS; Pota HR; Hasan MM; Hussain MS, 2022, 'Recent trends in bio-inspired meta-heuristic optimization techniques in control applications for electrical systems: a review', International Journal of Dynamics and Control, 10, pp. 999 - 1011, http://dx.doi.org/10.1007/s40435-021-00892-3
    Journal articles | 2022
    Roy S; Ahsan SMT; Mondol N; Hasan MM; Kundu D; Boby SM; Hassan M; Hossain MS; Islam MR; Hossain MB; Dhar S; Hossain MA, 2022, 'Comparative investigation into key optoelectronic characteristics of semipolar InGaN blue laser diodes: A strategy to mitigate quantum-confine stark effect', RESULTS IN PHYSICS, 34, http://dx.doi.org/10.1016/j.rinp.2022.105246
    Journal articles | 2021
    Hasan MM; Hasan N; Afroz D; Jibon FA; Hossen MA; Parvage MS; Aongkon JS, 2021, 'Electroencephalogram Based Medical Biometrics using Machine Learning: Assessment of Different Color Stimuli', Advances in Science, Technology and Engineering Systems Journal, 6, pp. 27 - 34, http://dx.doi.org/10.25046/aj060304
    Journal articles | 2021
    Hasan MM; Hasan N; Alsubaie MSA; Komol MMR, 2021, 'Diagnosis of tobacco addiction using medical signal: An EEG-based time-frequency domain analysis using machine learning', Advances in Science, Technology and Engineering Systems, 6, pp. 842 - 849, http://dx.doi.org/10.25046/aj060193
    Journal articles | 2021
    Hasan MM; Hasan N; Alsubaie MSA, 2021, 'Development of an EEG Controlled Wheelchair Using Color Stimuli: A Machine Learning Based Approach', Advances in Science, Technology and Engineering Systems Journal, 6, pp. 754 - 762, http://dx.doi.org/10.25046/aj060287
    Journal articles | 2021
    Komol MMR; Hasan MM; Elhenawy M; Yasmin S; Masoud M; Rakotonirainy A, 2021, 'Crash severity analysis of vulnerable road users using machine learning', PLoS ONE, 16, http://dx.doi.org/10.1371/journal.pone.0255828
    Journal articles | 2021
    Watling CN; Mahmudul Hasan M; Larue GS, 2021, 'Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review', Accident Analysis and Prevention, 150, http://dx.doi.org/10.1016/j.aap.2020.105900
    Journal articles | 2020
    Roy S; Kiratnia SG; Roy PN; Hasan MM; Howlader AH; Rahman MS; Islam MR; Rana MM; Abdulrazak LF; Mehedi IM; Islam MS; Hossain MB, 2020, 'Numerical investigation into optoelectronic performance of ingan blue laser in polar, non-polar and semipolar crystal orientation', Crystals, 10, pp. 1 - 24, http://dx.doi.org/10.3390/cryst10111033
  • Conference Papers | 2023
    Angan RB; Hossain MS; Nobel SS; Hasan MM, 2023, 'Health Monitoring of Old Buildings in Bangladesh: Detection of Cracks and Dampness Using Image Processing', in 2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), IEEE, presented at 2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), 16 June 2023 - 17 June 2023, http://dx.doi.org/10.1109/ncim59001.2023.10212708
    Conference Papers | 2023
    Hossain MS; Angan RB; Hasan MM, 2023, 'Pothole Detection and Estimation of Repair Cost in Bangladeshi Street: AI-based Multiple Case Analysis', in 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023, http://dx.doi.org/10.1109/ECCE57851.2023.10101579
    Conference Papers | 2022
    Fahim F; Al Farabi A; Hasan MS; Hasan MM, 2022, 'Diagnosis of Diabetes using Clinical Features: An Analysis based on Machine Learning Techniques', in 3rd International Informatics and Software Engineering Conference, IISEC 2022, IEEE, presented at 2022 3rd International Informatics and Software Engineering Conference (IISEC), 15 December 2022 - 16 December 2022, http://dx.doi.org/10.1109/IISEC56263.2022.9998257
    Conference Papers | 2022
    Hossain MS; Hasan T; Hasan MM; Rahman MM; Sabiha MM, 2022, 'English Character recognition using EEG-based Visual stimulations: A Machine Learning Analysis', in 2022 International Conference on Innovations in Science, Engineering and Technology, ICISET 2022, pp. 373 - 378, http://dx.doi.org/10.1109/ICISET54810.2022.9775921
    Conference Papers | 2019
    Hasan MM; Ahsan SMM, 2019, 'Bangla Sign Digits Recognition Using HOG Feature Based Multi-Class Support Vector Machine', in 2019 4th International Conference on Electrical Information and Communication Technology (EICT), IEEE, presented at 2019 4th International Conference on Electrical Information and Communication Technology (EICT), 20 December 2019 - 22 December 2019, http://dx.doi.org/10.1109/eict48899.2019.9068832
    Conference Papers | 2019
    Hasan MM; Ashfaqulislam M; Imtiyaz SA; Mahbubhasan M, 2019, 'Presumption method for detecting and analyzing human mental behavior by employing EEG signal', in 4th International Conference on Electrical Engineering and Information and Communication Technology, iCEEiCT 2018, pp. 519 - 523, http://dx.doi.org/10.1109/CEEICT.2018.8628137
    Conference Papers | 2019
    Hasan MM; Hasan N; Islam MM; Suhi M, 2019, 'Human Identification Based on Color Stimuli', in 1st International Conference on Advances in Science, Engineering and Robotics Technology 2019, ICASERT 2019, http://dx.doi.org/10.1109/ICASERT.2019.8934893
    Conference Papers | 2019
    Hasan MM; Hasan N; Rahman A; Rahman MM, 2019, 'Effect of Smoking in EEG Pattern and Time-Frequency Domain Analysis for Smoker and Non-Smoker', in 5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2019, http://dx.doi.org/10.1109/IC4ME247184.2019.9036492
    Conference Papers | 2019
    Hasan N; Hasan MM; Alim MA, 2019, 'Design of EEG Based Wheel Chair by Using Color Stimuli and Rhythm Analysis', in 1st International Conference on Advances in Science, Engineering and Robotics Technology 2019, ICASERT 2019, http://dx.doi.org/10.1109/ICASERT.2019.8934493
    Conference Papers | 2017
    Hasan M; Sohag HA; Ali E; Ahmad M, 2017, 'Estimation of the most effective rhythm for human identification using EEG signal', in Proceedings of 9th International Conference on Electrical and Computer Engineering, ICECE 2016, IEEE, Dhaka, BANGLADESH, pp. 90 - 93, presented at 9th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, BANGLADESH, 20 December 2016 - 22 December 2016, http://dx.doi.org/10.1109/ICECE.2016.7853863
    Conference Papers | 2017
    Hasan MM; Sohag MHA; Ahmad M, 2017, 'EEG biometrics based on small intra-individual & large inter-individual difference of extracted features', in ICECTE 2016 - 2nd International Conference on Electrical, Computer and Telecommunication Engineering, http://dx.doi.org/10.1109/ICECTE.2016.7879629
    Conference Papers | 2016
    Sohag HA; Hasan M; Khatun M; Ahmad M, 2016, 'An accurate and efficient solar tracking system using image processing and LDR sensor', in 2nd International Conference on Electrical Information and Communication Technologies, EICT 2015, IEEE, Khulna, BANGLADESH, pp. 522 - 527, presented at 2nd International Conference on Electrical Information and Communication Technology (EICT 2015), Khulna, BANGLADESH, 10 December 2015 - 12 December 2015, http://dx.doi.org/10.1109/EICT.2015.7392008 

UNSW Tuition Fee Scholarship 

QUT Faculty Write-Up Scholarship

Australian Government Research Training Program (RTP) Scholarship

 

August 2022
 
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
Amount: N/A

 

 
February 2019 - August 2020
 
Achieved the prestigious Australian Government Research Training Program (RTP) Scholarship for full-time Master study at QUT, Australia. 

Amount:  AU$ 27,597 per annum (full-time rate, tax-exempt)
 
February 2012 - May 2016
 
Awarded BSc degree with honours & listed in Dean's list of EEE faculty for excellent results in last consecutive six terms (three academic years). 

Amount: N/A
 
February 2012 - May 2016
 
Achieved Prime Bank Foundation Scholarship throughout the four years of undergraduate studies for outstanding results. 

Amount: 1,05,600 BDT (AU$ 1,760)
 
May 2015
 
One of the top 200 achievers of "Joy Bangla Youth Award-2015" in research sector organised by Centre for  Research & Information (CRI),  Bangladesh. 

Amount: 20,000 BDT (AU$ 333.33)

 

February 2019 – February 2021
 
Postgraduate researcher

Centre for Accident Research and Road Safety- Queensland (CARRS-Q)

Queensland University of Technology (QUT), Australia

 

 
August 2020 -  December 2020
 
Data Analyst/ Research Officer

Centre for Accident Research and Road Safety- Queensland (CARRS-Q)

Queensland University of Technology (QUT), Australia

Type: Casual; 7.25 Hrs/week

 

 
August 2016 - Feb 2019
 
Supervision of undergraduate thesis students

Department of Electrical and Electronic Engineering (EEE)

Bangladesh Army University of Engineering and Technology (BAUET)

 

 
Supervised projects

(as principal supervisor)
 
  • EEG-based human emotion detection
  • EEG-based wheelchair control
  • Smoker and non-smoker identification using EEG 
  • Human Identification using EEG based on colour stimulation
  • Biomedical signal-based health care system using wearable devices              
May 2015 - May 2016
 
Completed bachelor thesis
Department of Electrical and Electronic Engineering (EEE)
Khulna University of Engineering & Technology (KUET), Bangladesh
 
Responsibilities
 
I have implemented an EEG based biometric identification and authentication system using ANN under the supervision of Professor Dr Mohiuddin Ahmad. The thesis work was devoted to the EEG biometrics with the help of machine learning tools, exclusinvely using artificial neural networks. 
November 2014 - May 2015
 
Completed bachelor project
Department of Electrical and Electronic Engineering (EEE)
Khulna University of Engineering & Technology (KUET), Bangladesh
 
Responsibilities

I have developed a sun tracking solar panel using image processing, Arduino and LDR sensor. The unique feature of the project is based on cost-effective policy, and it is now becoming an extensively accessible technology for the rural people of Bangladesh.

 

 

My Teaching

August 2023 - Present:  Casual Academic (Engineering) at UNSW

COMP 9444 - Neural Networks and Deep Learning

  • Course website 23T3: https://webcms3.cse.unsw.edu.au/COMP9444/23T3/
  • Responsibilities: Casual Tutoring of the Course Neural Networks and Deep Learning (COMP 9444) at the school of Computer Science and Engineering (CSE), UNSW. Duties: Tutorials, lab demonstration and exam script evaluation, consultations of student's engineering research projects. 

 

May 2023 - Present: Casual Academic (Engineering) at UNSW

COMP 9517- Computer Vision

 

May 2022 - November 2022: Casual Academic (Engineering) at UNSW

COMP 9517- Computer Vision

 

August 2016 - February 2019: Lecturer (Full-time) of Electrical and Electronic Engineering (EEE) at Bangladesh Army University of Engineering & Technology (BAUET)

  • Basic Electrical Engineering (EEE 1101, EEE 1163, EEE 1265)
  • Computer Programming (CSE 2109, CSE 2110)
  • Numerical Analysis (EEE 2212)
  • Very Large Scale Integration (VLSI) (EEE 3217, EEE 3218)
  • Course Curriculum: https://bauet.ac.bd/eee/program/curriculum/
  • Responsibilities:  Supervision of undergraduate bachelor student's research projects and thesis, preparing and delivering class lectures, conducting tutorials, seminars and workshops, working on the examination committee, conducting research projects and undertaking consultancies.Working on several university research projects (engineering) and serving as supervisor (principal and associate) of 15 undergraduate thesis students. 
  • Duties: For conducting research projects at the university, Md Mahmudul Hasan was the laboratory-in-charge of the signal processing and computer lab and worked with different equipment such as BIOPAC physiological signal acquisition device, MATLAB, EEGLab, Bioradio, Acqknowledge signal processing software.