Top of page
Global Site Navigation

School of Science

Local Section Navigation
You are here: Main Content

Dr Syed Mohammed Shamsul Islam

Senior Lecturer

Staff Member Details
Telephone: +61 8 6304 6300
Mobile: 0416 541 554
Email: syed.islam@ecu.edu.au
Campus: Joondalup  
Room: JO18.306  
ORCID iD: https://orcid.org/0000-0002-3200-2903

Syed is a Senior Lecturer of Computer Science and a Member of Low-risk Ethics and Grants Evaluation sub-committees in the School of Science, and a University Contact Officer (UCO) in the Office of Pro-Vice Chancellor (Equity and Indigenous).

Current Teaching

  • CSI6209 Artificial Intelligence (Postgraduate)
  • CSI1241 Systems Analysis
  • CSI2343 Object Oriented Analysis and Design
  • CSG3303 Applied IT Project
  • CSG6224 - Special Topic 1 (Artificial Intelligence)

Background

Dr Islam completed his PhD with Distinction in Computer Engineering from the University of Western Australia (UWA) in 2011. He received his MSc in Computer Engineering from King Fahd University of Petroleum and Minerals in 2005 and BSc in Electrical and Electronic Engineering from Islamic Institute of Technology in 2000. Prior to joining ECU in 2016, he was a Research Assistant Professor at UWA (2011-2015), a Research Fellow at Curtin University (2013-2015), and a casual Lecturer at UWA and Curtin University (2015-2016). He was also an Adjunct Lecturer at UWA from 2016 to 2019. He has published over 60 research articles and got 15 public media releases including a TV news story and four live radio interviews. He has received the NHMRC Ideas grant 2019 ($467K) and nine other external research grants. He supervised to completion three HDR students and currently supervising 12 others. He is serving as an Associate Editor of IEEE Access and a guest editor of Healthcare, Technical Committee Member of 25 conferences and regular reviewer of 26 journals. He is also involved in various professional and community activities including the IEEE WA Signal Processing Chapter, the Game Changer Awards, Science Café and Clean Up Australia.

Professional Memberships

  • 2019-present – IEEE WA Section (Executive Committee Member)
  • 2019-present – IEEE WA Signal Processing Chapter (Secretary)
  • 2017-present – Australian Computer Society (Senior Member)
  • 2010-present – IEEE (Senior Member)
  • 2012- present – Australian Pattern Recognition Society (Member)
  • 2011-2016 – IEEE Computer Society
  • 2018-2019 – Australian Computer Society (WA Branch Conference committee member)

Awards and Recognition

National and International Awards

  • 2019 – DST Best Contribution to Science Award, Digital Image Computing: Techniques and Applications (DICTA) 2019
  • 2018 – Best Student Paper Award, International Conference on Machine Learning and Data Engineering (iCMLDE 2018)
  • 2017 – Certified Professional (CP), Australian Computer Society
  • 2013 – Travel Grant Award, International Association of Dental Research
  • 2011 – UWA Early Career Postdoc Special Commendation Award for Publication
  • 2010 – Award of Distinction (for PhD thesis), the Board of Graduate Research School, UWA

University and National Teaching Awards

  • 2020 – The Finalist for the 29th Lateral INCITE Awards (Peter Fillery Best Undergraduate Tertiary Student Project of the Year)
  • 2019 – Bankwest Postgraduate Computer Science Prize
  • 2019 – Unibank Computing/Security Project Award
  • 2019 – The Finalist for the 28th WAITTA INCITE Awards (Peter Fillery Best Undergraduate Tertiary Student Project of the Year)
  • 2018 – Australian Computer Society Applied IT Project Prize 2018
  • 2018 – Unibank Computing/Security Project Award

National and International Research Positions

  • 2020 – External Reviewer, EUROFLEETS+ Regional, EUROFLEETSPlus (an alliance of European Marine Research Infrastructure).
  • 2020 – Award/Promotion Chair, DICTA 2020
  • 2020-present – Associate Editor, IEEE Access
  • 2019-present – Guest Editor, Healthcare
  • 2019 – Publication Chair, DICTA 2019
  • 2015 – External Assessor, Project Grant 2015, National Health and Medical Research Council (NHMRC).

Research Areas and Interests

  • Artificial Intelligence
  • Computer Vision
  • Pattern Recognition
  • Big-Data Analysis
  • Biometrics
  • Medical Imaging
  • Internet of Things (IoT)
  • Image Processing
  • Biomedical Engineering

Qualifications

  • Doctor of Philosophy with Distinction, The University of Western Australia, 2011.
  • Master of Science in Computer Engineering, Saudi Arabia, 2006.
  • Post Graduate Diploma in Technical Education, Bangladesh, 2002.
  • Certificate on Oracle 8i with Developer 6, Bangladesh, 2001.
  • Bachelor of Science - Electrical / Electronic Engineering, Bangladesh, 2000.

Research

Recent Research Grants

  • Automated methods for evaluating structural vascular disease,  National Health and Medical Research Council,  Ideas grants,  2020 - 2024,  $652,128.
  • Processing textual input at a system-wide level to elicit insights into individual user characteristics,  CingleVue Pty Ltd,  Scholarships to Support Industry Engagement PhD Project,  2019 - 2024,  $64,740.
  • Enhanced Tele-operation for improved control of Autonomous Field Robots in Challenging Environments,  Defence Science and Technology Group of the Department of Defence,  Industry Engagement Scholarship to support PhD projects,  2019 - 2023,  $35,000.
  • MedVR: automating image acquisition, transportation and mapping for surgical planning,  Singular Health,  APR Intern,  2021,  $20,500.
  • MedVR: automating image acquisition, transportation and mapping for surgical planning,  Singular Health,  APR Intern,  2021,  $20,500.
  • The Implementation of Health-Assistive Smart Home Technology in Independently-Dwelling Older Adults ,  Edith Cowan University,  ECU Industry Engagement Grant,  2019 - 2020,  $87,664.
  • A novel multi-sensor based non-contact approach for screening obstructive sleep apnoea,  Edith Cowan University,  ECU Collaboration Enhancement Scheme - 2016 Round 2,  2017 - 2018,  $8,915.
  • Deep learning of 3D craniofacial features for the prediction of obstructive sleep apnoea,  Edith Cowan University,  ECU Early Career Researcher Grant - 2017,  2017 - 2018,  $30,000.
  • Establishing a 3D sensing, visualisation and analytics lab,  Edith Cowan University,  Edith Cowan University, School of Science 2017 Strategic Initiative Fund,  2017,  $115,368.

Recent Publications (within the last five years)

Book Chapters

  • Chong, K., Ahmed, M., Islam, S., (2020), An Investigation of Performance Analysis of Machine Learning-Based Techniques for Network Anomaly Detection. Security Analytics for Internet of Everything , 117-156, Boca Raton, USA, CRC Press.

Journal Articles

  • Ponnusamy, A., Goonewardene, MS., Mian, AS., Eastwood, P., Islam, S., (2020), Facial soft tissue norms in Caucasians using an innovative three-dimensional approach. Australian Orthodontic Journal, 36(1), 45-54, Australia, DOI: Not available.
  • Ahmed, M., Seraj, R., Islam, S., (2020), The k-means Algorithm: A Comprehensive Survey and Performance Evaluation. Electronics, 9(8), article number 1295, DOI: 10.3390/electronics9081295.
  • Islam, K., Raj, R., Islam, S., Wijewickrema , S., Hossain, M., Razmovski , T., O’leary, S., (2020), A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication. Sensors, 20(12), Article number: 3578, DOI: 10.3390/s20123578.
  • Mohsin, A., Janjua, N., Islam, S., Babar, M., (2020), SAM-SoS: A Stochastic Software Architecture Modeling and Verification Approach for Complex System-of-Systems. IEEE Access, 8(2020), 177580-177603, DOI: 10.1109/ACCESS.2020.3025934.
  • Altaf, F., Islam, S., Akhtar, N., Janjua, N., (2019), Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions. IEEE Access, 7(2019), 99540 - 99572, DOI: 10.1109/ACCESS.2019.2929365.
  • Tran, VP., Al-Jumaily, A., Islam, S., (2019), Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review. Big Data and Cognitive Computing, 3(1), article no. 3, MDPI, DOI: 10.3390/bdcc3010003.

Conference Publications

  • Mursalin, M., Islam, S., (2020), EpNet: A Deep Neural Network for Ear Detection in 3D Point Clouds. Proceedings of 20th International Conference, ACIVS 2020, Advanced Concepts for Intelligent Vision Systems, 15-26, Cham, Switzerland, Springer, DOI: 10.1007/978-3-030-40605-9_2.
  • Mursalin, M., Islam, S., Al-Jumaily, AA., (2019), A Cost-effective Method for Epileptic Seizure Classification. 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2019), 1-5, USA, IEEE, DOI: 10.1109/ICSPCC46631.2019.8960787.
  • Islam, S., Mahmood, H., Al-Jumaily, A., Claxton, S., (2019), Deep Learning of Facial Depth Maps for Obstructive Sleep Apnea Prediction. Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018, 154-157, online, IEEE, DOI: 10.1109/iCMLDE.2018.00036.
  • Moniruzzaman, M., Islam, S., Lavery, P., Bennamoun, M., (2019), Faster R-CNN Based Deep Learning for Seagrass Detection from Underwater Digital Images. Proceedings of Digital Image Computing: Techniques and Application, Article number 8946048, Online, IEEE.
  • Noman, MK., Islam, S., Hassan, S., Pervin, R., (2019), An Improved Data Aided Channel Estimation Technique Using Genetic Algorithm for Massive MIMO. Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018, 61-66, Piscataway, NJ, IEEE, DOI: 10.1109/iCMLDE.2018.00022.
  • Truong, G., Gilani, Z., Islam, S., Suter, D., (2019), Fast Point Cloud Registration using Semantic Segmentation. Proceedings of 2019 Digital Image Computing: Techniques and Applications (DICTA), Article number 8945870, Online, IEEE, DOI: 10.1109/DICTA47822.2019.8945870.
  • Moniruzzaman, M., Islam, S., (2019), Evaluation of Different Features and Classifiers for Classification of Rays from Underwater Digital Images. Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018, 83-90, online, IEEE, DOI: 10.1109/iCMLDE.2018.00025.
  • Mohsin, A., Janjua, N., Islam, S., Neto, VV., (2019), Modeling Approaches for System-of-Systems Dynamic Architecture: Overview, Taxonomy and Future Prospects. Proceedings of the 2019 14th Annual Conference System of Systems Engineering (SoSE), 2019(19-22 May, 2019), 49-56, online, IEEE, DOI: 10.1109/SYSOSE.2019.8753877.
  • Chaudhry, J., Farmand, S., Islam, S., Islam, MR., Hannay, P., Valli, C., (2018), Discovering trends for the development of novel authentication applications for dementia patients. International Conference on Applications and Techniques in Cyber Security and Intelligence, Applications and Techniques in Cyber Security and Intelligence, 580(16-18 June, 2017), 220-237, China, Springer, DOI: 10.1007/978-3-319-67071-3_29.
  • Rahman, MA., Islam, S., Shin, J., Islam, MR., (2018), Histogram alternation based digital image compression using Base-2 coding. 2018 Digital Image Computing: Techniques and Applications (DICTA), 492-499, online, IEEE, DOI: 10.1109/DICTA.2018.8615830.
  • Mahmood, H., Islam, S., Gilani, SO., Ayaz, Y., (2018), Dynamic Saliency Model Inspired by Middle Temporal Visual Area: A Spatio-Temporal Perspective. 2018 Digital Image Computing: Techniques and Applications (DICTA), Article number 8615806, online, IEEE, DOI: 10.1109/DICTA.2018.8615806.
  • Islam, S., Raza, S., Moniruzzaman, M., Janjua, N., Lavery, P., Al-Jumaily, A., (2017), Automatic Seagrass Detection: A Survey. 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), 527-532, Piscataway, USA, IEEE, DOI: 10.1109/ICECTA.2017.8252036.
  • Janjua, N., Hussain, OK., Chang, E., Islam, S., (2017), Conjoint utilization of structured and unstructured information for planning interleaving deliberation in supply chains. Proceedings of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence, 411-418, New York, USA, Association for Computing Machinery, DOI: 10.1145/3106426.3106545.
  • Islam, S., Moniruzzaman, M., (2017), Automatic Ear Detection from Ear and Non-Ear Environment using Deep Machine Learning Technique. Proceedings of the 1st International Conference on Machine Learning and Data Engineering (iCMLDE2017), 108-114, Sydney, Australia.
  • Moniruzzaman, M., Islam, S., Bennamoun, M., Lavery, P., (2017), Deep Learning on Underwater Marine Object Detection: A Survey. Advanced Concepts for Intelligent Vision Systems 18th International Conference, ACIVS 2017, Antwerp, Belgium, September 18-21, 2017, Proceedings, LNCS 10617(18-21 Sep, 2017), 150-160, DOI: 10.1007/978-3-319-70353-4_13.

Research Student Supervision

Principal Supervisor

  • Master of Science (Computer Science),  Seagrass detection using deep learning

Co-principal Supervisor

  • Doctor of Clinical Dentistry: An assessment of facial profile attractiveness of historical and contemporary norms as perceived by clinicians, patients and laypeople
  • Doctor of Clinical Dentistry: The use of three dimensional scanning to assess and quantify the extent of facial asymmetry in adults
Skip to top of page