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.
My Grants
UNSW Tuition Fee Scholarship
QUT Faculty Write-Up Scholarship
Australian Government Research Training Program (RTP) Scholarship
My Qualifications
2021
|
Master of Philosophy (M Phil)
Centre for Accident Research and Road Safety- Queensland (CARRS-Q)
Queensland University of Technology (QUT), Australia
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Research Area
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Signal Processing, Machine Learning and Biomedical Engineering
|
Result |
7.00 out of 7.00 (High Distinction) in compulsory coursework |
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) |
My Awards
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 |
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) |
My Research Activities
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) |
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Supervised projects
(as principal supervisor) |
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EEG-based human emotion detection
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EEG-based wheelchair control
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Smoker and non-smoker identification using EEG
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Human Identification using EEG based on colour stimulation
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Biomedical signal-based health care system using wearable devices
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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.
https://orcid.org/0000-0003-2747-4348
