School of Science

Senior Lecturer

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