E-mail: rme@du.ac.bd
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Dr. Md Mehedi Hasan2023-05-24T05:18:39+00:00

Dr. Md Mehedi Hasan
(Lecturer)
Department of Robotics and Mechatronics Engineering

Dr. Md Mehedi Hasan currently working as a Lecturer in the Department of Robotics and Mechatronics Engineering at the University of Dhaka, Bangladesh. Earlier, he was an Associate Professor and Research Director of SURC at Stamford University Bangladesh. He worked as a Lead Machine Learning Engineer (R&D – Asia Pacific) at RME Australia to provide AI-derived industry 4.0 automation systems for Mill Relining Machines by designing and developing deep learning-based machine vision systems. The solution includes Robotics and IoT for visual servoing, liner pick-up, positioning & placement, and embedded system-on-module (SoM) computing for fully automated MRM.

URL links: RME InsideOut Project , RME Automotion Project

Dr. Mehedi received his Ph.D. in Computer Science from UNSW Australia in early 2017 and worked in the area of Computer Vision and Machine Learning. Thenceforth, he worked as a Postdoc in UNSW Canberra on a consulting project for the Australian Defence Force Academy (ADFA). Later on, he joined the Phenomics and Bioinformatics Research Centre of the University of South Australia, Adelaide as a Postdoctoral Research Associate to conduct applied research on Plant Phenotyping where real-world data are acquired through aerial and land-based imaging platforms with various geospatial sensors, and its statistical analysis by developing AI and Deep Learning based solutions. Prior to that, he completed MEng in Computer Engineering from Kyung Hee University, South Korea, and BSc (Hons.) in CSE from the University of Dhaka, Bangladesh.

He is a member of IEEE and a reviewer of several distinguished journals including Briefings in Bioinformatics, Plant Methods, Frontiers in Plant Science, Functional Plant Biology, IEEE Access, etc. In his career, Dr. Mehedi has received Research Fellowship (UNSW Australia), Global IT Fellowship (NIPA S. Korea), President Scholarship (KHU S.Korea), PRSS (UNSW) & SDC (KHU) Travel Grants, and other prestigious academic scholarships. His area of research interest includes Plant Phenomics, Robotics Visual Servoing, IoT, 3D Image Processing and Video Coding, Computer Vision, and Machine Learning.

Research News & Activities

Degree Name Group/Major Subject Board/Institute Country Passing Year
Ph.D. Computer Science University of New South Wales Australia 2017
Masters Computer Engineering Kyung Hee University South Korea 2012
Bachelor Computer Science and Engineering University of Dhaka Bangladesh 2008

Title Organization Location From Date To Date
A. House Tutor Masterda Surja Sen Hall University of Dhaka 19, Dec 2021 Currently Working
Lecturer Dept. of RME, University of Dhaka Dhaka, Bangladesh 02, Feb 2021 Currently Working
Associate Professor & Research Director Dept. of CSE, Stamford University Bangladesh Dhaka, Bangladesh 10, Mar 2020 25-01-2021
Machine Learning Engineer (R&D – Asia Pacific) MRM Automation, RME Australia Brisbane, Australia 01, Oct 2018 25-02-2020
Postdoctoral Research Associate Phenomics and Bioinformatics Research Centre, University of South Australia Adelaide, Australia 04, Oct 2017 30-09-2018
Postdodctoral Researcher School of Engineering and IT, University of New South Wales Canberra, Australia 01, Apr 2017 30-09-2017
Software Engineer Mobile SW R&D Team, AresChan Co. Ltd. Seoul, South Korea 05, Sep 2012 25-02-2013
Intern Software Engineer Broadcasting R&D Team, MediaChorus Inc. Seoul, South Korea 20, Dec 2010 16-08-2012
Postgraduate Research Assistant Image Processing Lab, Kyung Hee University Suwon, South Korea 01, Sep 2010 16-08-2012
Lecturer Dhaka International University Dhaka, Bangladesh 03, Mar 2009 15-08-2010

Research Interest

Subject Description Research Interest (Goal, Target Indicator)
Industrial Sensors Environmental and Industrial condition monitoring with smart sensors using automated feature extraction and analysis.
Deep Learning Real-time 3D object detection and recognition, pose estimation, and tracking for intelligent surveillance
Computer Vision and Machine Learning Computer Vision and Machine Learning based applied researches on UAV, smart farming, livestock monitoring etc.
Plant Phenotyping Evaluation of plant traits such as yield, growth, development, architecture, tolerance, resistance, physiology, ecology and the principal measurement of individual quantitative parameters that form the basis for complex trait assessment.
Robotic Visual Servoing and Locomotion Vision-based robot control for picking up tools and placement, and in developing capabilities for robots to decide how, when, and where to move in autonomous conditions.

Project/Research Supervision

Level of Study Title Supervisor Co-Supervisor(s) Name of Student(s) Area of Research Current Completion
Other Plant Phenotyping using convolutional Neural Network Dr. Md Mehedi Hasan M. A. Batin (FH-092-011) Muhaiminul Islam (SH-092-011) Smart Agriculture Current Year
Masters Advanced Intelligent Video Surveillance System Dr. Md Mehedi Hasan Ahsan Imran Intelligent Surveillance Current Year

Project/Research Work

Subject Project Name Source of Fund From Date To Date Collaboration
MRM Automation RME AutoMotion RME Australia 01-09-2019 25-02-2020 PT Freeport Indonesia
Machine Vision RMEVision RME Australia 01-10-2018 25-02-2020 Internal R&D Project
Robotics Visual Servoing RME Inside Out RME Australia 01-10-2018 31-08-2019 QUT Centre for Robotics
Plant Phenotyping Land-based crop phenotyping PBRC UniSA 04-10-2017 30-09-2018 University of Adelaide
Deep Learning Detection and analysis of wheat spikes ARC Linkage Grant 04-10-2017 30-09-2018 Australian Grain Technology
Computer Vision Poliveil Spit-Mask Australian Defence Force Academy, UNSW 01-04-2017 30-09-2017 First Light Pty Ltd. Australia
Computer Vision and Machine Learning Error Resilient 3DTV UNSW Australia 15-03-2013 31-10-2016 PhD Project
Machine Learning MultiFEx: Multimedia Feature Classification AresChan Co. Ltd. 01-10-2012 28-02-2013 Samsung Electronics, South Korea
Computer Vision and Machine Learning Facial Recognition and Object Tracking KIP Lab, Kyung Hee University 01-01-2012 16-08-2012 NIPA Korea
Image Processing and Computer Vision Hawkeye-VED 200 (Video Error Detection) Mediachorus Inc. 25-12-2010 20-02-2012 Korean Broadcasting System
Expert System MTES: Image Processing ToolBox KIP Lab, Kyung Hee University 03-09-2010 31-01-2011 RA Project

Invited Talk

SL Invited Talk
1 Content-Based Error Detection and Classification for Video Transmission over WLANS

International Conference on Advanced IT, Engineering and Management, Feb 2011, Seoul, South Korea.
2 A Novel Quality Assessment of Transmitted 3D Videos Based on Binocular Rivalry Impact

Packet Video Workshop, June 2015, Cairns, Australia.
3 Meeting the challenge of field phenotyping

Plant Biology Europe (PBE), June 2018, Copenhagen, Denmark.
4 Detection and Counting of Wheat Spikes from Field Images using Convolutional Neural Networks

International Plant Phenotyping Symposium, Oct 2018, Adelaide, Australia.

Book Section

  1. M. M. Hasan, K. Ahn and O. Chae “Measuring Blockiness of Videos Using Edge Enhancement Filtering.” Communications in Computer and Information Science. Tai-hoon Kim, Hojjat Adeli, Carlos Ramos, Hyeong-Ho Kang South Korea: Springer, 2011 10-19 .View More

 Journal Article

  1. Md Mehedi Hasan, Md. Ariful Islam, Sejuti Rahman, Michael R. Frater and John F. Arnold : No-reference Quality Assessment of Transmitted Stereoscopic Videos based on Human Visual System, Applied Sciences (impact factor:2.84) , vol.12 , no.19 MDPI , pp.1-18 , 2022 .View More
  2. M. M. Hasan, J. P. Chopin, H. Laga and S. J. Miklavcic : Detection and analysis of wheat spikes using Convolutional Neural Networks, Plant Methods (impact factor:5.904) , vol.14 , no.1 Springer Nature , pp.100 , 2019 .View More
  3. M. M. Hasan, T. Rahman, K. Ahn and O. Chae : Artifacts Detection and Error Block Analysis from Broadcasted Videos, arXiv Pre-print , no.arXiv:1808.10086v1 , pp.1-14 , 2018 .View More
  4. M. M. Hasan, J. F. Arnold and M. R. Frater : Binocular Rivalry-Psychovisual Challenge in Stereoscopic Video Error Concealment, arXiv Pre-print , no.arXiv:1809.07792 , pp.1-14 , 2018 .View More
  5. M. M. Hasan, J. F. Arnold and M. R. Frater : Survey on Error Concealment Strategies and Subjective Testing of 3D Videos, arXiv preprint , no.arXiv:1809.07793 , pp.1-8 , 2018 .View More
  6. M. M. Hasan, T. Rahman, K. Roy, K. Ahn and O. Chae : Hawkeye: Cloud Computing Based Automated Video Error Detection in Real-time, Journal of Internet Technology (impact factor:1.5) , vol.18 , no.1 , pp.45-53 , 2017 .View More
  7. M. M. Hoque, M. M. Hasan, M. L. Q. Pimentel, O. Chae, K. Ahn and J. Kim : Edge-based spatial concealment of digital dropout error in degraded archived media, Electronics Letters (impact factor:1.4) , vol.50 , no.4 IET , pp.996-997 , 2014 .View More
  8. M. M. Hasan, K. Ahn, J. H. Lee, S. Z. Ishraque and O. Chae : Fast and Reliable Structure-Oriented Distortion Measure for Video Processing, INFORMATION (impact factor:0.25) , vol.16 , no.1 International Information Institute , pp.789-795 , 2013 .View More
  9. T. Rahman, M. M. Hasan, A. Farooq and M. Z. Uddin : Extraction of cardiac and respiration signals in electrical impedance tomography based on independent component analysis, Journal of Electrical Bioimpedance (impact factor:1.70) , vol.4 , no.1 Sciendo , pp.38-44 , 2013 .View More
  10. M. M. Hasan, K. Ahn and O. Chae : Faster Detection of Independent Lossy Compressed Block Errors in Images and Videos, International Journal of Signal Processing, Image Processing and Pattern Recognition (impact factor:0.125) , vol.5 , no.1 SERSC , pp.151-164 , 2012 .View More

Conference Proceedings

  1. M. M. Hasan, J. F. Arnold and M. R. Frater “A Novel Quality Assessment of Transmitted 3D Videos Based on Binocular Rivalry Impact.” Picture Coding Symposium (PCS) , pp. 297-301. Cairns, Australia: IEEE, 2015 .View More
  2. M. M. Hasan, J. F. Arnold and M. R. Frater “No-Reference Quality Assessment of 3D Videos based on Human Visual Perception.” International Conference on 3D Imaging , pp. 1-6. Leige, Belgium: IEEE, 2014 .View More
  3. M. M. Hasan, J. F. Arnold and M. R. Frater “Subjective Evaluation and Statistical Analysis for Improved Frame-loss Error Concealment of 3D Videos.” IEEE Visual Communications and Image Processing , pp. 181-184. Valetta, Malta: IEEE, 2014 .View More
  4. M. M. Hasan, K. Ahn and O. Chae “Measuring Artifacts of Broadcasted Videos by Accumulating Edge Gradient Magnitude.” YSEC – International Conference on Information Technology , pp. 232-238. Seoul, South Korea: YSEC, 2012 .
  5. M. Murshed, S. Z. Ishraque, M. M. Hasan and O. Chae “Cloud Architecture for Lossless Image Compression by Efficient Bit-plane Similarity Coding.” International Conference on Advanced IT, engineering and Management (AIM) , pp. 123-124. Seoul, South Korea: FTRA, 2012 .
  6. M. M. Hasan, K. Ahn, Z. Ishraque and O. Chae “Hawkeye: Real-time Video Error Detection Using Cloud Computing Platform.” International Conference on Advanced IT, engineering and Management (AIM) , pp. 121-122. Seoul, South Korea: FTRA, 2012 .View More
  7. M. M. Hasan, K. Ahn, M. S. Hoque and O. Chae “Blocking Artifact Detection by Analyzing the Distortions of Local Properties in Images.” International Conference on Computer and Information Technology (ICCIT) , pp. 475-480. Dhaka, Bangladesh: IEEE, 2012 .View More
  8. M. M. Hasan, T. Jabid and O. Chae “A Robust Face Recognition Based on Local Transitional Pattern Variance (LTPv).” International Conference on Advanced IT, engineering and Management (AIM) , pp. 46-47. Jeju, South Korea: FTRA, 2012 .View More
  9. M. Park, M. M. Hasan, J. Kim and O. Chae “Hand Detection and Tracking Using Depth and Color Information.” IPCV- WorldComp , pp. 779-785. Las Vegas, USA: WorldComp, 2012 .View More
  10. M. M. Hasan, K. Ahn and O. Chae “Measuring blockiness of videos using edge enhancement filtering.” International Conference on Signal Processing, Image Processing, and Pattern Recognition , pp. 10-19. Jeju, South Korea: Springer, 2011 .View More

Award Type Title Year Country Description
International UNSW RP Fellowship 2017 Australia The Fellowship is awarded to contribute in post-PhD research and publish the outcomes in reputed journals.
International UNSW Completion Scholarship 2016 Australia Pre-PhD scholarship based on academic contributions and extension.
International UNSW Travel Grant 2015 Australia Travel grant to attend and present paper in IEEE VCIP at Valetta, Malta; IC3D at Leige, Belgium; PCS at Cairns, Australia
International UNSW PRSS Grant 2014 Australia Postgraduate Research Student Support (PRSS) grant assists candidates with travel costs associated with presenting their research – paper/poster/exhibition – at high-quality international conferences.
International UNSW TF and Establishment PhD Scholarship 2013 Australia Provided by UNSW Australia for international research candidates of exceptional research potential to undertake a higher degree (PhD) by research including establishment cost.
International International Travel Grant, KHU 2011 South Korea Travel grant to attend International Conferences outside South Korea.
International Global IT Fellowship, Ministry of Education 2010 South Korea Supported by Ministry of Education, South Korea for exceptional research potential to undertake a research assistance and internship in Korean Companies.
International KHU President Scholarship 2010 South Korea Honored by Kyung Hee University, South Korea for excellent semester-wise academic performance in Masters.
National Champion in Amar Ekushey Hall TT Competition (Doubles) 2007 Bangladesh Winner of Amar Ekushey Hall table tennis championship (doubles)
National BSC Scholarship, Nippon Foundation Japan 2005 Bangladesh Sponsored by The Nippon Foundation Japan, in recognition of outstanding academic achievements in Honors and previous.
National Bangladesh Government Board Scholarship 2002 Bangladesh Bangladesh Government Board Scholarship in HSC
National Bangladesh Government Board Scholarship 2000 Bangladesh Bangladesh Government Board Scholarship in SSC
National Bangladesh Government Talent pool Scholarship 1997 Bangladesh Bangladesh Government Talent pool Scholarship in Junior Scholarship Examination and Secured District 1st position

SL Collaboration & Membership Name Type Membership Year Expire Year
1 UNSW Alumni Association Member 2017 Life Time
2 Institute of Electrical and Electronics Engineers (IEEE) Member 2019 Ongoing
3 IEEE Signal Processing Society Student Member 2013 2017
4 CSEDU Alumni Association Executive Member 2010 2011
5 IEEE Computer Society Member 2010 Ongoing
6 IEEE Circuits and Systems Society Student Member 2013 2017

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