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Professional Experiences:

[22 June 2021- present]

PhD Scholar/ Research Assistant [Engineering]

The University of New South Wales (UNSW), Australia

[30 May 2022- present]

Casual Academic

The University of New South Wales (UNSW), Australia

[14 February 2019- 30 June 2021]

Postgraduate Research Scholar  [Engineering]

Centre for Accident Research and Road Safety - Queensland (CARRS-Q), Brisbane, Queensland, Australia.

Queensland University of Technology (QUT), Australia

[01 June 2021 - 30 June 2021]

[31 August 2020- 24 December 2020]

Research Officer (Casual/ Part-time) [Engineering]

Centre for Accident Research and Road Safety - Queensland (CARRS-Q), Brisbane, Queensland, Australia.

Queensland University of Technology (QUT), Australia

[10 August 2016- 31 January 2019]

Lecturer

Department of Electrical & Electronic Engineering (EEE)

Bangladesh Army University of Engineering and Technology (BAUET)

Vice President

BAUET Automation and Robotics Club (BARC)

(10 August 2016- 31 January 2019) 

Email: mahmudul.hasan.eee.kuet@gmail.com

CAREER 

Md Mahmudul Hasan is a postgraduate research scholar/ research assistant (Ph.D. scholar in Engineering) at the University of New South Wales (UNSW), which is one of the best universities in Australia and worldwide. He is working with Medical imaging and deep learning. Previously, he was a Master of Philosophy (MPhil) researcher at Queensland University of Technology (QUT), Australia, where he is applying his engineering knowledge to Medical applications in his MPhil research. 

Before joining at QUT, Mr Hasan was a Lecturer at Bangladesh Army University of Engineering and Technology (BAUET) from August 2016- January 2019. Mahmudul has completed his BSc in Electrical and Electronic Engineering from Khulna University of Engineering and Technology (KUET) and has been involved in various multidisciplinary research projects in Biomedical Engineering and was awarded "Australian Govt. Research Training Program Scholarship", "UNSW Tuition Fee Scholarship (TFS) with living Stipend" & “Joy Bangla Youth Award-2015” as a recognition. His research interests are- Medical Engineering, applied machine learning, cognitive engineering, artificial intelligence and biomedical signal and image processing.

Google Scholar: https://scholar.google.com/citations?user=2bnHcKsAAAAJ&hl=en

My personal website: https://sites.google.com/view/mdmahmudulhasanm/

UNSW Profile: https://research.unsw.edu.au/people/mr-md-mahmudul-hasan

QUT Alumni page: https://research.qut.edu.au/carrsq/people/postgraduate-completions/

QUT ePrints: https://eprints.qut.edu.au/view/person/Hasan,_Md_Mahmudul.html

LinkedIn: https://www.linkedin.com/in/md-mahmudul-hasan-600b15a8/

Researchgate:  https://www.researchgate.net/profile/Mdmahmudul-Hasan

Academia: https://independent.academia.edu/MdMahmudulHasanMubin

ORCID ID: https://orcid.org/0000-0003-2747-4348 

Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=57672292200

Researcher-ID (Web of Science & Publons): https://publons.com/researcher/4052038/md-mahmudul-hasan 

Reviewer's profile (International Journal of Research and Scientific Innovation): https://www.rsisinternational.org/journals/ijrsi/reviewer/md-mahmudul-hasan/

Github: https://github.com/hasanmdmahmudul

ACADEMIC ACHIEVEMENT     

2021 - Present 

[22 June 2021- Present]

Doctor of Philosophy (PhD), Engineering

The University of New South Wales (UNSW), Australia

Specialization: Medical Image Processing & Applied Machine Learning

2021

Master of Philosophy (M Phil), Engineering

(Masters by Research degree)

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

Queensland University of Technology (QUT), Australia

Specialization: Medical Signal Processing &  Applied Machine Learning (Biomedical Engineering)

Thesis Topic: Biomedical Signal-based Drowsiness Detection using Machine Learning: Singular and Hybrid signal Approaches

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

Specialization: Biomedical Engineering

Thesis Topic: Development of an EEG-based Biometric Identification and Authentication System using Artificial Neural networks (ANN)

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

Class position: 7th (out of 107 students)

PROJECT AND THESIS 

(Key research findings and accomplishments)

1. Masters Thesis: "Biomedical signal based drowsiness detection using machine learning: Singular and hybrid signal approaches",  under the supervision of Dr Christopher Watling, Dr Gregoire Larue, & Dr, Mark King, Centre for Accident Research & Road Safety- Queensland (CARRS-Q), Queensland University of Technology (QUT), Australia.

Link: https://eprints.qut.edu.au/211388/

[Drowsiness is one of the main contributors to road crashes. This research program examines the utility of drowsiness detection based on singular and hybrid approaches using physiological signals of EEG, EOG, and ECG. Four supervised machine learning models were developed to detect drowsiness levels, using physiological features known to be associated with drowsiness and performance impairment. The ground truth was subjective sleepiness responses while performing a repetitive reaction time task. The outcome of the study indicates that the selected features provided higher performance in the hybrid approaches than the singular approaches, which could be useful for future research implications.]

2. Undergraduate Thesis: “Development of an EEG-based Biometric Identification and Authentication System Using Artificial Neural Networks (ANN) ” under the supervision of  Dr. Mohiuddin Ahmad, Professor, Department of EEE, KUET.

[Implemented an EEG based biometric identification and authentication system under the supervision of Professor Mohiuddin Ahmad, Ph.D. who is a prominent researcher in the field of Biomedical Engineering. My work is devoted to the EEG biometrics.]

Link: https://www.researchgate.net/project/Development-of-an-EEG-based-Biometric-Identification-Authenticaion-System

3. Undergraduate Project: “Implementation of Sun tracking solar panel using microcontroller in Arduino platform” at Department of EEE, KUET.

[ Developed a sun tracking solar panel using arduino and LDR sensor. This unique feature of the project is based on cost effective policy and it is now becoming extensively popular technology for the rural people of Bangladesh. ]

Link: https://www.researchgate.net/project/An-Accurate-and-Efficient-Solar-Tracking-System-using-Image-Processing-and-LDR-Sensor

INTERNATIONAL PUBLICATIONS (Peer Reviewed)

Published Journal Papers:

1.  Hasan, M.M., Watling, C.N., & Larue, S.G. (2021) Physiological signal-based drowsiness detection: singular and hybrid signal approaches. Journal of Safety Research (Accepted) Link: https://eprints.qut.edu.au/211922/

2.      Komol, M.M.R., Hasan, M.M., & Elhenawy, M. (2021) Crash severity analysis for Queensland vulnerable road users using machine learning. PLoS one, 16(8), e0255828.

DOI: https://doi.org/10.1371/journal.pone.0255828; Link: https://pubmed.ncbi.nlm.nih.gov/34352026/

3.  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

4.      Hasan, M.M., Islam, N., Afroz, D., Jibon, F.A., Hossen, M.A., Parvage, M.S., Aongkon. J.S. (2021) Electroencephalogram based medical biometrics using machine learning: Assessment of different color stimuli, Advances in Science, Technology and Engineering Systems Journal, 6 (3), pp. 27-34.

DOI: http://dx.doi.org/10.25046/aj060304, Link: https://astesj.com/v06/i03/p04/

5.  Hasan, M.M., Hasan, N., Alsubaie, M.S.A., Komol, M.M.R. (2021) EEG controlled wheelchair for paralyzed patients using brain-computer interface: Validation of the color stimuli using machine learning, Advances in Science, Technology and Engineering Systems Journal, 6 (2), pp. 754-762.

DOI: http://dx.doi.org/10.25046/aj060287, Link: https://astesj.com/v06/i02/p87/

6.  Hasan, M.M., Hasan,N., Alsubaie, M.S.A., Komol, M.M.R. (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 Journal, 6 (1), pp. 842-849.

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

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) 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

8.  Hasan, M. M., Hasan, N., & Rahman, M. (2018, June). Observation of fuel cell technology and upgraded photovoltaic system for rural telecom system in Bangladesh. Bangladesh Army University of Engineering & Technology Journal, 1(2), 71-78. ISSN 2521-5256. Link: https://bit.ly/2v09rbY

9.  Hasan, M. M., Rahman, M., Hasan, N., Alim, M., & Islam, M. (2017). Geothermal power generation possibility and geothermal sites in Bangladesh: A review. Bangladesh Army University of Engineering & Technology Journal, 1(1), 67-81. ISSN 2521-5256. Link: https://bit.ly/2SfpUBa

Published International Conference papers (Full-text):

10.  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)

11.      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)

12.  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)

13.      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)

14.  Hasan, M. M., AshfaqulIslam, M., Imtiyaz, S. A., & Mahbubhasan, 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)

15.      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)

16.  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)

17.  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 International Conference papers (abstracts):

18.  Hasan, M.M., Watling, C.N., & Larue, S.G. (2021, June) ASMR2021-Validating Driver Sleepiness Detection System. Australian Society for Medical Research (ASMR) Queensland Virtual Post Graduate Student Symposium- 2021, ASMR, 9-10 June 2021. (Conference abstract)

Conference Link: https://asmr.org.au/register/qld/; Abstract: https://bit.ly/3cGYwqf

19.  Komol, M.M.R., Hasan, M.M., Elhenawy, M., Yasmin, S., Masoud, M., Rakotonirainy, A. (2021, June) Crash Severity Analysis for Queensland Vulnerable Road Users using Machine Learning, In 2021 International Conference on Transportation & Development (ICTD), American Society of Civil Engineers, 8- 10 June 2021. (Online Streamed) (Conference abstract)

Link:https://www.eventscribe.net/2021/ICTDPavements21/fsPopup.asp?Mode=presInfo&PresentationID=870663&fbclid=IwAR0Wjb8QmGaiS_AsyHI6rhjq2ijxI3w1Pp_Mm7lmw-caknQIEYhhYcam3IE; Abstract: https://bit.ly/3qZR2XK

20.  Hasan, M.M. “Development of an EEG Controlled Wheelchair Using Color Stimuli: A Machine Learning Based Approach”, ROBOChair Berlin, Germany, 10-11 April 2021. (Online Streamed) (Conference abstract)

Link: https://onlineconference.robochair.de/speakers.html#top; Abstract: https://bit.ly/3r3QFvh

Abstract Book: https://robochair.de/download/EXOBerlin_TECHDAYCatalogue_BCI_AssistiveDevices.pdf

21.  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. 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021), INSTICC, 11-13 February 2021. (Conference abstract)

Link: https://biostec.scitevents.org/Abstracts.aspx#2021; Abstract: https://bit.ly/3nKS9sh

Abstract Book: https://biostec.scitevents.org/Abstract.aspx?idEvent=ymKF8ZWwywc=

22.  Hasan, M.M., Watling, C.N., & Larue, S.G. (2020, November) Medical signal based drowsiness detection: Exploring the Singular and Hybrid Approach. Australian Society for Medical Research (ASMR) Queensland Virtual Post Graduate Student Conference- 2020, ASMR, 10-11 November 2020. (Conference abstract)

Conference Link: https://asmr.org.au/register/qld/; Abstract: https://bit.ly/3l2nOna

Thesis Dissertations

Masters Thesis Paper

23.  Md. Mahmudul Hasan, “Biomedical Signal based Drowsiness Detection Using Machine Learning : Singular & Hybrid Signal Approaches”, MPhil thesis, 2021,  Queensland University of Technology (QUT), Australia.

Undergrad Thesis paper

24.  Md. Mahmudul Hasan, “Development of an EEG-based Biometric Identification and Authentication System using Artificial Neural Networks (ANNs)”, B.Sc. Thesis, Department of Electrical and Electronic Engineering, Khulna University of Engineering and Technology, Khulna-9203, Bangladesh. 

Thesis Paper Total word length: 14,636 words

My Contribution to the work: 

- Development of methodology

- Subject Selection

- EEG Signal Acquisition

- Feature Extraction

- Experimental Data Analysis

- Classification using ANN & Machine learning

- Determination of the most effective Rhythm of EEG signal

- Determination of the most effective Domain of EEG signal

- Development of the Authentication System

- Manuscript preparation 

INVITED TALKS & PRESENTATIONS

INVITED TALKS

1.  "Research in Biomedical Engineering”, American International University- Bangladesh (AIUB), 15 November 2021.

              Press Release/ News:  https://www.aiub.edu/webinar-on-higher-study-in-australia-research-in-biomedical-engineering

2.  "Research in Biomedical Engineering: Present & Future”, Primeasia University, Bangladesh, 26 August 2021.

3.      “Research & Development”, Bangladesh Army University of Engineering & Technology (BAUET) Computer Society,  Qadirabad, Bangladesh, 12 December 2020.

PRESENTATIONS

4.  “Validating Driver Sleepiness Detection System”, Australian Society for Medical Research (ASMR) Queensland Virtual Post Graduate Student Symposium- 2021, ASMR, Australia, 9-10 June 2021.

5.  “Development of an EEG Controlled Wheelchair Using Color Stimuli: A Machine Learning Based Approach”, Brain Controlling Technology for Assistive Devices, ROBOChair Berlin,Germany, 27 April 2021. (Online Streamed)

6.  “Development of a biomedical signal-based driver sleepiness detection system: a supervised machine learning approach”, 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021), INSTICC, Vienna, Austria, 11-13 February 2021. (Online Streamed)

7.      “Crash severity analysis for Queensland vulnerable road users using machine learning”, International Conference on Transportation & Development (ICTD), American Society of Civil Engineers, 8 June 2021. (Online Streamed)

8.  “Biomedical Signal based Drowsiness Detection Using Machine Learning : Singular & Hybrid Signal Approaches”, Master of Philosophy (MPhil) Symposium -2021, Brisbane, Queensland, Australia, 8 December 2020.

9.  “Bio-Signal based driver drowsiness detection system: A hybrid approach”, School of Psychology and Counselling Annual HDR symposium-2020, Queensland, Australia, 20 November 2020.

10.   “Medical signal based drowsiness detection: Exploring the singular and hybrid approach”, Australian Society for Medical Research (ASMR) Queensland Virtual Post Graduate Student Conference- 2020, ASMR, Australia, 10 November 2020.

11.   “Development of a biosignal based driver drowsiness detection system”, School of Psychology and Counselling Annual HDR symposium-2019, Queensland, Australia, 31 October, 2019.

12.   “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), Dhaka, Bangladesh, 13 September, 2018.

13.   “Estimation of the most effective rhythm for human identification using EEG signal”. In 2016 9th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 20 December 2016.

14.   “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), Rajshahi, Bangladesh, 8 December 2016.

15.   “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), Khulna, Bangladesh, 10 December, 2016.

Reviewer

1. IEEE Transactions on Intelligent Transportation Systems

2. Journal of Engineering Research and Reports

3. International Journal of Research and Scientific Innovation (IJRSI)

4. Advances in Science, Technology and Engineering Systems Journal

5. Bangladesh. Bangladesh Army University of Engineering & Technology Journal

AWARDS, HONORS AND RECOGNITIONS 

1. Australian Government Research Training Program (RTP) Scholarship 

2. Faculty Write-Up Scholarship, Queensland University of Technology (QUT)

3. University Dean's Award, Faculty of EEE, KUET

4. BSc Engineering Degree with Honours (First Class)

5. "Prime Bank" Excellence Scholarship

6.“Akij Group” funded Scholarship

7. Government Scholarship

Award Provider: Bangladesh Government (Ministry of Education)

Board scholarship in both University & College level for the excellent result in H.S.C & S.S.C level. The scholarship was given by the Dinajpur board throughout the 4 years of Bachelor Degree for outstanding result in Higher Secondary Certificate Examination (HSC). The scholarship was given after considering the Bachelor result in every academic year. examination.

Total Award Amount: 60,000 BDT

8.Talent Scholarship

Award Provider: Bangladesh Government (Ministry of Education)

Scholarship in class Eight & Five in talent pool grade. The scholarship was given by the education board of Bangladesh  for outstanding result in Primary School Certificate Examination (PSC) and Junior School Certificate (JSC) Examinations. 

Total Award Amount: 20,000 BDT

ACADEMIC EXPERIENCE

1. Bangladesh Army University of Engineering & Technology (BAUET)

Bangladesh Army University of Engineering & Technology (BAUET) the pioneer Technical Institutes of Armed Forces, started its journey from 15 August 2014. It was the visionary leadership of the Honorable Prime Minister of People’s Republic of Bangladesh Sheikh Hasina to establish a Technical Institute of Armed Forces. Accordingly, the Honorable Prime Minister, People’s Republic of Bangladesh, Sheikh Hasina unveiled the Foundation Plaque on 15 August 2014.BAUET is located at Qadirabad Cantonment in Natore. The city becomes a very important communication hub for adjoining major district headquarters.The academic Program of BAUET (Qadirabad) is Department of Computer Science & Engineering; Department of Electrical & Electronics Engineering and Department of Civil Engineering.BAUET (Qadirabad) has well equipped class rooms with multimedia and web camera with internet facilities and Laboratories with modern equipment. The medium of instruction for all engineering programs is English. BAUET has other miscellaneous facilities such as Medical Centre, Fitness Centre, Cyber Café, Broadband Internet facilities, Library and Students’ Accommodation (Male & Female) .

Website: https://www.bauet.ac.bd/

DURATION:

08.2016- 01.2019

EMPLOYER:  Bangladesh Army University of Engineering and Technology (BAUET)

DEPARTMENT: Electrical and Electronic Engineering (EEE)

POSITION: Lecturer

RESPONSIBILITIES:

- Supervision of undergraduate project and thesis

- Conducting theory and lab classes, respectively

- Working in the Examination Committee

- Exam script evaluation & scrutiny

- Mentor of the Laboratory equipment acquisition

- Career counselling of undergraduate students

- Working as course coordinator & Hall Tutor

COURSES TAUGHT (& TAKING):

- Basic Electrical Engineering- EEE 1101, EEE 1163, EEE 1265

- Basic Electrical Engineering & Simulation  Sessional-  EEE 1102

- Computer Programming- CSE 2109

- Computer Programming Sessional- CSE 2110

- Numerical Techniques Sessional- EEE 2212

- VLSI- I - EEE 3217 

- VLSI- I Sessional- EEE 3218

- Undergrad Thesis- EEE 4000

2. BAUET Automation and Robotics Club (BARC)

BAUET Automation and Robotics Club (BARC) is an initiative taken by the students and faculties of BAUET. The main objective of founding this club is to develop professional engineering skills among the students which will help them in the professional life through teamwork activities. The motivation of founding this club is to enhance cooperation among the students of different departments as well as among students of different batches. The club will frequently arrange workshops and seminars about different technological scheme like robotics, Microcontroller, Arduino, MATLAB, SIMULINK etc. 

The students will share their views and ideas with their teachers and they can participate and compete in different competitions like Robo race, Robo Fight Contests, Tech Fiesta, Tech Carnival & Project Shows. They will represent BAUET among others as representatives which will enlighten our university among many of the universities. 

BAUET Automation and Robotics Club(BARC) successfully arranged an intra-university project fair and another inter-university Tech fair in 2017 and 2018 accordingly. The future plan of BAUET Automation and Robotics Club is to arrange Robo race & Robo Fight Contests, Tech Fiesta, Tech Carnival & Project Showcasing events as intra-university tech festival and inter-university tech festival event. Students from any of the departments of BAUET are always welcomed in BARC and can become a member of BARC. But the Students must have the interest and enthusiasm for robotics. Many BAUETians, young scientists teams, who are working with BAUET Automation and Robotics Club (BARC) are working hard, making some interesting projects and they are making us proud. 

Website: https://www.bauet.ac.bd/barc.html

        https://www.bauet.ac.bd/barc/

DURATION: 08.2016- 01.2019

EMPLOYER: BAUET Automation and Robotics Club (BARC)

CLUSTER: Academic Wing

POSITION: Vice President

RESPONSIBILITIES:

- Taking workshops and seminars weekly

- Arrangement of Inter-university Project Fair

- Research and building projects on Robotics and Automation

- Participation in national & international competitions

3. Member, International Conference Outreach Committee, International Conference on Recent Trends in Computing (ICRTC-18), SRMIST, Ghaziabad, Delhi.

5th International Conference on Recent Trends in Computing (ICRTC-18) was held on 27th - 28th December 2018 in Sri Ramaswamy Memorial (SRM)  Institute of Science and Technology (formerly known as SRM University), NCR Campus, Ghaziabad, Delhi. ICRTC-18 was organized by SRM Institute of Science and Technology and Institute For Engineering Research and Publication (IFERP). To provide an opportunity to research scholars, delegates and students to interact and share their experience and knowledge in technology application. ICRTC-18 provided an excellent international forum for sharing knowledge and results in Recent Challenges in Engineering Technology. The aim of the Conference was to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cutting-edge development in the field.

4. Student Member, Australian Society for Medical Research (ASMR), Sydney, Australia

01.2019- 01.2020

The Australian Society for Medical Research (ASMR) is the peak professional society representing Australian health and medical research.

In addition to direct members, ASMR represents an additional 20,000 medical researchers, involved in health and medical research through seventy-five (75) affiliated professional societies, institutes and Medical Colleges. Corporate and disease related foundation memberships bring a further 100,000 Australians with an interest in health and medical research into the ASMR network.

The Society has a long-established role in scientific, political and public advocacy.

5. Member, Institute for Systems and Technologies of Information, Control and Communication (INSTICC), Portugal

INSTICC is the Institute for Systems and Technologies of Information, Control and Communication, a scientific, non-profit, association whose main goals are to serve the international scientific community by promoting, developing and disseminating knowledge in the areas of information systems and technologies, control and communications.

Website: http://www.insticc.org

6. Reviewer Committee Member, MIDAS 2021: International Conference on Machine Intelligence and Data Science Application 

MIDAS-2021 aims to promote and provide a platform for researchers, academia and practitioners to meet and exchange ideas on recent theoretical and applied Machine and ArtificialIntelligence and Data Sciences research.  

Department of Computer Science and Engineering, Comilla University, Cumilla, Bangladesh is going to organize "International Conference on Machine Intelligence and Data Science Applications (MIDAS) 2021" on December 26-27, 2021. MIDAS-2021 aims to provide a forum for researchers from both academia and industry to share their latest research contributions in the area of AI and Data Sciences and thus to exchange knowledge with the common goal of shaping the future. The best way to create memories is to gather and share the ideas, creativity and innovations. The conference program consists of wide range of sessions including distinguished lectures, paper presentations and poster presentations, along with prominent keynote speakers and industrial workshops. The theme for the conference is apt to the present scenario as currently world is driven by data and human interference is being limited by using various AI technologies.

Website:https://www.icmidas.in/

7. Program Committee Member, PRICAI 2023- The 20th Pacific Rim International Conference on Artificial Intelligence

Jakarta, Indonesia

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is an annual international event which concentrates on AI theories, technologies and their applications in the areas of scientific, social, and economic importance for countries in the Pacific Rim. In the past, the conferences have been held in Nagoya (1990), Seoul (1992), Beijing (1994), Cairns (1996), Singapore (1998), Melbourne (2000), Tokyo (2002), Auckland (2004), Guilin (2006), Hanoi (2008), Daegu (2010), Kuching (2012), Gold Coast (2014), Phuket (2016), Nanjing (2018), Fiji (2019), Yokohama (2020, online), Hanoi (2021, online) and Shanghai (2022, hybrid).

The 20th PRICAI (2023) will be held in hybrid mode in Jakarta, Indonesia. The Program Committee invites technical papers on substantial, original, and unpublished research in all aspects of Artificial Intelligence. PRICAI-2023 aims to bring together researchers, practitioners, educators and users in AI and related communities for in-depth intellectual exchanges, research cooperation and professional development.

https://www.pricai.org/2023/

            TECHNICAL SKILL                   

Programming language : C, C++, MATLAB, Verilog HDL, HTML.

Office Package: Microsoft Word, Microsoft Power Point, Microsoft Excel etc.

Operating System: Microsoft Windows Xp, Vista, Windows 7, Fedora etc.

Utility Software: Arduino, Atmel Studio, PSpice, Modelsim, EEGlab, Acqknowledge     etc.

Networking skill: LAN, Internet and CISCO basics.

Hardware: Embedded system, Microcontroller programming, Bio-signal acquisition system,Biopac MP36.

Special Skill:                                                                                 

Basic : Linux, Microsoft Office, MS Excel, MS Power Point, LATEX

Intermediate: BIOPAC, EEGLab, Proteus

Advanced: Machine learning (SVM, ANN Tool),  Python,C, C++, MATLAB, Simulink, PSPICE, Micro-controller, Arduino, 

 Verilog HDL

 LEADERSHIP & ORGANIZING SKILL

Co-curricular

Member, Robotics Club of KUET

Member, KUET Programming Club

02.2012- 05.2016

Community Service

Advisor, BAUET Career Club

Volunteer, Inter-university Tech Fiesta, KUET - 2012 & 2016

Leadership skill

Organizing Co-Chair & Convener,         BAUET Inter Univ. Project Fair-2017 

Event Coordinator & Co-Convener,         BAUET Inter Univ. Tech Fair-2018

INDUSTRIAL ATTACHMENT

Attachment Title: Power Distribution System training.

Topics Covered: Power Distribution, Human resource Management.

Institute: West Zone Power Distribution company Ltd.(WZPDCL)

Country: Bangladesh.

Location: Sales & Distribution Division-4, Khulna.

Training Year: 2015.

Duration: 4 days.

TECHNICAL TOUR

-  Bheramara HVDC Back-to-back Station, Kushtia.

-  Zonal Repair Shop (ZRS), West Zone Power Distribution company Ltd.(WZPDCL), Jessore.

-  Baghabari power Station, Bangladesh Power Development Board (BPDB).

LANGUAGE PROFICIENCY

-  English: Excellent in speaking, reading & writing.

-  Bengali (Native language): Fluent in speaking, reading & writing.

CREATIVE WORKS

1.      Research Project- Development of an EEG-based Biometric Identification and Authentication System:

-  In this project, a methodology of identifying an individual was proposed by determining the most effective domain and feature of EEG signal. Artificial Neural Network (ANN) was used for the classification approach.

-  Development of Security and Authentication Framework

2.      Other Innovative Research Projects (Appeared in TV Documentary):

- A 2.50 minutes long TV documentary was broadcasted in Channel 24, Bangladesh on 18th July 2015 featuring the innovations by two young scientists Md. Mahmudul Hasan and Md. Hanif Ali Sohag for their joint innovative projects in department of Electrical and Electronic Engineering at Khulna University of Engineering & Technology (KUET), Bangladesh. The engineering projects included Sun Tracking Solar Panel, Internet based Home Automation and Accelerometer based Wireless mouse.

3.      Vice President at BAUET Automation and Robotics Club (BARC):

- Acting as a vice president BAUET Automation and Robotics Club (BARC). at Bangladesh Army University of Engineering and Technology (BAUET). BARC is an initiative taken by the students and teachers of BAUET and the main objective of founding this club is to develop professional engineering skills among the students which will help them in professional life. The motivation of founding this club is to enhance cooperation among the students of different departments as well as among students of different batches. The club will frequently arrange workshops and seminars about different technological scheme like robotics, Microcontroller, Arduino, MATLAB, SIMULINK etc.

Website of BARC: http://www.bauet.ac.bd/barc.html

                                  https://www.bauet.ac.bd/barc/

4.      Video Content Creator at YouTube:

- Hobbyist at creating some educational video contents on my YouTube channel while getting leisure time, especially for the school & college level students of Bangladesh.

NEWS

1. CARRS-Q, QUT, Australia

Featured in CARRS-Q, QUT, Australia

Biometrics is the process of identifying an individual from other individual by biological means. Conventional biometrics includes fingerprint, facial detection or iris detection but they have some limitations. To eliminate the drawbacks of conventional biometrics and enhance reliability we need to search for a new biometrics named EEG biometrics. EEG biometrics uses brainwave signals to identify an individual from others. By using the small intra-individual and large inter-individual difference in EEG, individuals can be identified with more accuracy. In this research, a methodology of identifying an individual is proposed by determining the most effective domain and feature of EEG signal. Artificial Neural Network (ANN) was used for the classification approach. All the designed classifier was able to identify all 3 subjects correctly with very small mean square error.

Research Output: 3 IEEE Conference papers

2. An Accurate and Efficient Solar Tracking System using Image Processing and LDR Sensor  

In this project, a methodology of an automatic solar tracker was designed by means of both sensors and image processing simultaneously. The mechanism of solar tracking was implemented by the use of an image processing software which combines the effect of sensors and processed image of sun and controls the solar panel accordingly. The methodology was a combination of hardware and software which could be used to control hundreds of solar panels in a solar power plant with more accuracy. The proposed project is more accurate and efficient than the conventional solar tracking systems which can optimize the power requirement.

Research Output: 1 IEEE Conference paper

3. SUPERVISION OF UNDERGRADUATE THESIS STUDENTS

1. Md. Muhaiminul Islam Sourov, EEE 1st Batch, BAUET

Thesis topic- "Human Identification using EEG signal in stimulous condition"

2. Mst. Mahozabin Suhi, EEE 1st Batch, BAUET

Thesis topic- "Determination of the most effective color stimulation for human identification using EEG Signal"

3. Md. Azizur Rahman Rumi, EEE 1st Batch, BAUET

Thesis topic- "Determination of the most effective rhythm to identify smoker and non smokers using EEG signal"

4. Md. Jihad Hossain, EEE 1st Batch, BAUET

Thesis topic- "Identification of smoker and non-smokers using EEG Signal"

5. Md. Kayes Khandakar, EEE 1st Batch, BAUET

Thesis topic- "Implementation of an autonomous CNC machine"

6. Nafiul Islam, EEE 2nd batch, BAUET

Thesis topic- "Development of an IoT based Healthcare system-1"

7. Afsana Memy, EEE 2nd batch, BAUET

Thesis topic- "Development of an IoT based Healthcare system-2"

8. Md. Noman Al Nazme Mahin, EEE 2nd batch, BAUET

Thesis topic- "Development of an IoT based Healthcare system-3"

MAJOR COURSES STUDIED & TAUGHT IN UNDERGRADUATE PROGRAM

• Basic Electrical Engineering

• Programing Language (Matlab, C, C++)

• Data Structure & Algorithm

• Numerical Analysis & Techniques

• VLSI Fabrication & design

• Power Plant Engineering

• Signals & Systems

• Electromagnetic Field

• Semiconductor Device Theory

• Electrical Machines I & II  (Generator, Motor, Transformer, Alternator)

• Electronics I, II & III

• Digital Electronics and Logic Design

• Numerical Methods and statistics

• Power System Analysis- I & II

• Communication Engineering -I, II &III

CO-CURRICULAR & EXTRA-CURRICULAR ACTIVITIES

-  Active member of “Rangpur Association of KUET” and a non-profitable humanitarian organization “Pranocchassay”.

- Organizer of different activities in the EEE department during 2012-2015.

- Hobbies at creating YouTube contents

- Hobbies Programmer

STRENGTHS     

-  Sincerity & Punctuality.

-  Excellent presentation skill.

-  Self-motivated, Self-starter & Positive attitude.

-  Hard working nature.

-  Dedication for committed work.

-  Problem solving & leadership skill

REFERENCE(S)

Professor Dr. Mohiuddin Ahmad  

Bachelor Thesis Supervisor 

Department of Electrical & Electronic Engineering

Khulna University of Engineering & Technology (KUET), Khulna-9203, Bangladesh

E- mail:

mohiuddin.ahmad@gmail.com

ahmad@eee.kuet.ac.bd 

Mobile: +8801556537660

Assistant Professor Md. Momtazur Rahman

Work Supervisor and Senior Colleague

Department of Electrical & Electronic Engineering

Bangladesh Army University of Engineering & Technology (BAUET), Natore-6431, Bangladesh

E- mail:

md.momtazur.rahman@outlook.com

md.momtazur.rahman@eee.bauet.ac.bd

mohammad.rahman@ecu.edu.au

Mobile: +61 480 119 439

Assistant Professor Md. Akramul Alim

Work Supervisor and Head of the department

Department of Electrical & Electronic Engineering

Bangladesh Army University of Engineering & Technology (BAUET), Natore-6431, Bangladesh

Department of Electrical & Electronic Engineering

University of Rajshahi, Bangladesh

E- mail:

eaar@ymail.com

aalim@eee.bauet.ac.bd

aalim@ru.ac.bd

Mobile: +8801717412319

Dr Mohammad Mahfujur Rahman

Senior Colleague and Mentor

School of Electrical Engineering & Roboticsg

Research Fellow

Science and Engineering Faculty,

School of Electrical Engineering & Robotics

Queensland University of Technology (QUT)

S Block Level 6 610, 2 George St, Brisbane, QLD 4000

E- mail:

m27.rahman@qut.edu.au

Mobile: +61416453032

DECLARATION

I hereby declare that all the above-mentioned information is true to best of my knowledge and belief.                                                                                                                                                                                                                                                                                                                                                  

( Md. Mahmudul Hasan)