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  • Dr Shams Islam is a senior lecturer at ECU's School of Science

    Dr Shams Islam is a senior lecturer at ECU's School of Science

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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: JO18.418D  
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
  • CSG3101/CSI61224 Applied Project

Background

Dr Islam is a Senior Lecturer in Computer Science in the Discipline of Computing and Security at School of Science in Edith Cowan University. He is also serving as a University Contact Officer under Pro-Vice-Chancellor (Equity and Indigenous), and a member of the Academic Study Leave Committee and Low-risk Ethics Committee. He is a founding member of the Centre for AI and ML (CAIML) and leading the theme Human AI collaboration in Ecology and Environmental monitoring. He is also the founding Lead of the 3D sensing, visualization, and analytics Lab. Before joining ECU, he worked in different teaching and research positions at the University of Western Australia (UWA) and Curtin University. He conducts innovative teaching and multidisciplinary research in the areas of Artificial Intelligence, Software Engineering, Medical Imaging, Robotics, Remote Sensing, Biometrics, Bioinformatics and Biomedical Engineering.

He completed PhD with Distinction in Computer Engineering (CE) from UWA in 2011 and received an MSc (CE) from King Fahd University of Petroleum and Minerals and BSc (EEE) from the Islamic University of Technology in 2005 and 2000 respectively. He has also completed professional courses in AI from the University of Oxford, United Kingdom.

Dr Islam has supervised to completion 11 higher degree by research students and published over 80 scholarly articles including 32 journal articles (21 in Quartile-1). He has attracted 27 public media releases including TV news, grants (of around four million Australian dollars) and awards including the High Achieving Researcher 2021 award by ECU and best paper awards in IVCNZ’22, DICTA’19, DICTA 21, and ICMLDE’18 conferences.

He is an Associate Editor of IEEE Access, a Guest Editor of Applied Science, and a regular reviewer of over 30 technical conferences including CVPR, EECV, WACV, and over 10 Q1 journals. He has also been serving as a member of the IEEE Access Ad-hoc Committee for Plagiarism Investigation, Evaluator and Rapporteur of the SMASH Postdoctoral Fellowship Program, and external reviewer/assessor of EUROFLEETS+ and National Health and Medical Research Council (NHMRC) Project Grants.

Dr Islam is serving as the General Chair for Digital Image Computing: Techniques and Applications (DICTA) 2024 to be held in Perth, WA from Nov 25-29, 2024. Previously, he served as Organising Committee member of over 13 conferences in different roles including an Invited Session Chair in ICONIP 2023, Publication Chair in DICTA 2023, Workshop and Special Session Chair in DICTA 2021, Award Chair in DICTA 2020, Technical Program Chair in ICCBI 2018, and Session Chair in ICMLDE 2017-2019. He is also a Senior member of both the IEEE and Australian Computer Society. He is a member of the IEEE Signal Processing Society (SPS) Scholarship Committee and has been Chairing the IEEE WA SPS Chapter since 2021.

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 Outputs

2024

Book Chapters

  • Islam, MA., Mostofa, KZ., Mohafez, H., Hossen, MJ., Low, FW., Vasiliev, M., Islam, S., Alam, MN. (2024). Combination of Sensors-Based Monitoring System and Internet of Things (IoT): A Survey and Framework for Remote and Intensive Care Unit Patients. Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing (27 pages). CRC Press. https://doi.org/10.1201/9781003346678-17.

Journal Articles

  • Al Bataineh, A., Jalali, SM., Mousavirad, SJ., Yazdani, A., Islam, S., Khosravi, A. (2024). An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis. Expert Systems: The Journal of Knowledge Engineering, 41(4), article number e13532. https://doi.org/10.1111/exsy.13532.
  • Abid, N., Noman, M., Kovács, G., Islam, S., Adewumi, T., Lavery, P., Shafait, F., Liwicki, M. (2024). Seagrass classification using unsupervised curriculum learning (UCL). Ecological Informatics, 83(2024), article number 102804. https://doi.org/10.1016/j.ecoinf.2024.102804.
  • Shaikh, MB., Chai, D., Islam, S., Akhtar, N. (2024). From CNNs to Transformers in Multimodal Human Action Recognition: A Survey. ACM Transactions on Multimedia Computing, Communications, and Applications, 20(8), Article number 260. https://doi.org/10.1145/3664815.
  • Noman, M., Islam, S., Jalali, SM., Abu-Khalaf, J., Lavery, P. (2024). BAOS-CNN: A novel deep neuroevolution algorithm for multispecies seagrass detection. PLoS One, 19(6), article number e0281568. https://doi.org/10.1371/journal.pone.0281568.
  • Shaikh, MB., Chai, D., Islam, S., Akhtar, N. (2024). MHAiR: A dataset of Audio-image Representations for Multimodal Human Actions. Data, 9(2), Article number 21. https://doi.org/10.3390/data9020021.
  • Shaikh, MB., Chai, D., Islam, S., Akhtar, N. (2024). Multimodal Fusion for Audio- Image and Video Action Recognition. Neural Computing and Applications, 2024(Article in press), 22 pages. https://doi.org/10.1007/s00521-023-09186-5.
  • Masoudi, M., Golzarian, M., Lawson, SS., Rahimi, M., Islam, S., Khodabakhshian, R. (2024). Improving 3D reconstruction for accurate measurement of appearance characteristics in shiny fruits using post-harvest particle film: A case study on tomatoes. Computers and Electronics in Agriculture, 224(2024), article number 109141. https://doi.org/10.1016/j.compag.2024.109141.

Conference Publications

  • Mirnateghi, N., Islam, S., Suter, D., Shah, A. (2024). Towards Explainability of Affordance Learning in Robot Vision. IEEE Digital Image Computing: Techniques & Applications (6). IEEE.

2023

Journal Articles

  • Moniruzzaman, M., Rassau, A., Chai, D., Islam, S. (2023). Structure-Aware Image Translation-Based Long Future Prediction for Enhancement of Ground Robotic Vehicle Teleoperation. Advanced Intelligent Systems, 2023(Article in press), Article number 2200439. https://doi.org/10.1002/aisy.202200439.
  • Shaikh, MB., Chai, D., Islam, S., Akhtar, N. (2023). PyMAiVAR: An open-source python suit for audio-image representation for human action recognition. Software Impacts, 17(September 2023), Article number 100544. https://doi.org/https://doi.org/10.1016/j.simpa.2023.100544.
  • Noman, M., Islam, S., Abu-Khalaf, J., Jalali, SM., Lavery, P. (2023). Improving accuracy and efficiency in seagrass detection using state-of-the-art AI techniques. Ecological Informatics, 76(September 2023), Article number 102047. https://doi.org/https://doi.org/10.1016/j.ecoinf.2023.102047.
  • Moniruzzaman, M., Rassau, A., Chai, D., Islam, S. (2023). Long Future Frame Prediction using Optical Flow informed Deep Neural Networks for Enhancement of Robotic Teleoperation in High Latency Environments. Journal of Field Robotics, 40(2), 393-425. https://doi.org/10.1002/rob.22135.
  • Jaltotage, B., Ihdayhid, AR., Lan, NS., Pathan, F., Patel, S., Arnott, C., Figtree, G., Kritharides, L., Islam, S., Chow, CK., Rankin, JM., Nicholls, SJ. (2023). Artificial Intelligence in Cardiology: An Australian Perspective. Heart Lung and Circulation, 32(8), 894-904. https://doi.org/10.1016/j.hlc.2023.06.703.

Conference Publications

  • Islam, S., Shah, A., Nguyen, CD. (2023). Deep Learning Approach for Automatic Segmentation of Dirt on Cattle Skin using Image Data. International Conference Image and Vision Computing New Zealand (6 pages). IEEE Computer Society. https://doi.org/10.1109/IVCNZ61134.2023.10344224.
  • Mahmood, H., Iqbal, A., Islam, S., Shah, A. (2023). 3D brain registration with intensity shift robustness. Proc of the 30th IEEE International Conference on Image Processing (ICIP 2023) (2805-2809). IEEE. https://doi.org/10.1109/ICIP49359.2023.10222341.
  • Shaikh, MB., Chai, D., Islam, S., Akhtar, N. (2023). MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using Transformers. Proc of the 11th European Workshop on Visual Information Processing (EUVIP 2023) (6). IEEE. https://doi.org/10.1109/EUVIP58404.2023.10323051.
  • Altaf, F., Islam, S., Janjua, N., Akhtar, N. (2023). Pre-text Representation Transfer for Deep Learning with Limited and Imbalanced Data: Application to CT-Based COVID-19 Detection. Image and Vision Computing (119–130). Springer-Verlag. https://doi.org/10.1007/978-3-031-25825-1_9.

2022

Journal Articles

  • Jalali, SM., Ahmadian, S., Noman, M., Khosravi, A., Islam, S., Wang, F., Catalao, JP. (2022). Novel Uncertainty-Aware Deep Neuroevolution Algorithm to Quantify Tidal Forecasting. IEEE Transactions on Industry Applications, 58(3), 3324 - 3332. https://doi.org/10.1109/TIA.2022.3162186.
  • Jalali, SM., Ahmadian, S., Nakisa, B., Khodayar, M., Khosravi, A., Nahavandi, S., Islam, S., Shafie-Khah, M., Catalão, JP. (2022). Solar irradiance forecasting using a novel hybrid deep ensemble reinforcement learning algorithm. Sustainable Energy, Grids and Networks, 32(December 2022), Article number 100903. https://doi.org/10.1016/j.segan.2022.100903.
  • Moniruzzaman, M., Rassau, A., Chai, D., Islam, S. (2022). High Latency Unmanned Ground Vehicle Teleoperation Enhancement by Presentation of Estimated Future through Video Transformation. Journal of Intelligent and Robotic Systems: theory and applications, 106(2), article number 48. https://doi.org/10.1007/s10846-022-01749-3.
  • Moniruzzaman, M., Rassau, A., Chai, D., Islam, S. (2022). Robotic teleoperation methods and enhancement techniques: A comprehensive survey. Robotics and Autonomous Systems, 150(2022), article number 103973. https://doi.org/10.1016/j.robot.2021.103973.
  • Petrykowski, F., Lam, R., Lewis, R., Islam, S., Goonewardene, M. (2022). Airway morphology and its influence on OSA severity and surgical intervention: A retrospective study. Australasian Orthodontic Journal, 38(2), 307-318. https://doi.org/10.2478/aoj-2022-031.

Conference Publications

  • Shaikh, MB., Chai, D., Islam, S., Akhtar, N. (2022). MAiVAR: Multi-modal Audio-Image and Video Action Recognizer. 2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) (1-5). IEEE. https://doi.org/10.1109/VCIP56404.2022.10008833.

2021

Journal Articles

  • Ahmadian, S., Jalali, S., Islam, S., Khosravi, A., Fazli, E., Nahavandi, S. (2021). A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19). Computers in Biology and Medicine, 139(Dec 2021), Article number 104994. https://doi.org/10.1016/j.compbiomed.2021.104994.
  • Mursalin, M., Islam, S. (2021). Deep Learning for 3D Ear Detection: A Complete Pipeline from Data Generation to Segmentation. IEEE Access, 9(19 November 2021), 164976-164985. https://doi.org/10.1109/ACCESS.2021.3129507.
  • Altaf, F., Islam, S., Janjua, N. (2021). A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays. Neural Computing and Applications, 33(20), 14037-14048. https://doi.org/10.1007/s00521-021-06044-0.

Conference Publications

  • Altaf, F., Islam, S., Janjua, N., Akhtar, N. (2021). Boosting Deep Transfer Learning for COVID-19 Classification. 2021 IEEE International Conference on Image Processing Proceedings (1-5). IEEE. https://doi.org/10.1109/ICIP42928.2021.9506646.
  • Jalali, SM., Khodayar, M., Ahmadian, S., Noman, MK., Khosravi, A., Islam, S., Wang, F., Catalão, JP. (2021). A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction. Proceedings of the 56th IEEE Industry Applications Society Annual Meeting (1-6). IEEE. https://doi.org/10.1109/IAS48185.2021.9677371.
  • Noman, M., Islam, S., Abu-Khalaf, J., Lavery, P. (2021). Multi-species Seagrass Detection Using Semi-supervised Learning. Proceedings of the 2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ) (1-6). IEEE. https://doi.org/10.1109/IVCNZ54163.2021.9653222.
  • Mursalin, M., Islam, S., Gilani, Z. (2021). 3D Morphable Ear Model: A Complete Pipeline from Ear Segmentation to Statistical Modeling. 2021 Digital Image Computing: Techniques and Applications (DICTA) (1-6). IEEE. https://doi.org/10.1109/DICTA52665.2021.9647339.
  • Jalali, SM., Khodayar, M., Ahmadian , S., Shafie-Khah , M., Khosravi , A., Islam, S., Nahavandi , S., Catalão , JP. (2021). A New Ensemble Reinforcement Learning Strategy for Solar Irradiance Forecasting using the Deep Optimized Convolutional Neural Network Models. 2021 International Conference on Smart Energy Systems and Technologies (SEST) (1-6). IEEE. https://doi.org/10.1109/SEST50973.2021.9543462.
  • Mahmood, H., Islam, S., Hill, J., Tay, G. (2021). Rapid Segmentation of Thoracic Organs using U-net Architecture. 2021 Digital Image Computing: Techniques and Applications (DICTA) (1-6). IEEE. https://doi.org/10.1109/DICTA52665.2021.9647312.
  • Noman, M., Islam, S., Abu-Khalaf, J., Lavery, P. (2021). Seagrass Detection from Underwater Digital Images using Faster R-CNN with NASNet. 2021 Digital Image Computing: Techniques and Applications (DICTA) (1-6). IEEE. https://doi.org/10.1109/DICTA52665.2021.9647325.
  • Altaf, F., Islam, S., Akhtar, N. (2021). Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought. 2021 Digital Image Computing: Techniques and Applications (DICTA) (1-8). IEEE. https://doi.org/10.1109/DICTA52665.2021.9647158.

2020

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 the Internet of Everything (117-156). 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. https://ro.ecu.edu.au/ecuworkspost2013/8440.
  • Ahmed, M., Seraj, R., Islam, S. (2020). The k-means Algorithm: A Comprehensive Survey and Performance Evaluation. Electronics, 9(8), article number 1295. https://doi.org/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. https://doi.org/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. https://doi.org/10.1109/ACCESS.2020.3025934.

Conference Publications

  • Nguyen Duc Minh, C., Gilani, Z., Islam, S., Suter, D. (2020). Learning Affordance Segmentation: An Investigative Study. Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA) (Article number 9363390). IEEE. https://doi.org/10.1109/DICTA51227.2020.9363390.
  • 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). Springer. https://doi.org/10.1007/978-3-030-40605-9_2.
  • Mahmood, H., Iqbal, A., Islam, S. (2020). Exploring Intensity Invariance in Deep Neural Networks for Brain Image Registration. Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA) (1-7). IEEE. https://doi.org/10.1109/DICTA51227.2020.9363409.

2019

Journal Articles

  • 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. https://doi.org/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. https://doi.org/10.3390/bdcc3010003.

Conference Publications

  • 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) (49-56). IEEE. https://doi.org/10.1109/SYSOSE.2019.8753877.
  • 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). IEEE. https://doi.org/10.1109/ICSPCC46631.2019.8960787.
  • 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). IEEE. https://doi.org/10.1109/DICTA47822.2019.8945870.
  • 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). IEEE. https://doi.org/10.1109/iCMLDE.2018.00022.
  • 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). IEEE. https://doi.org/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). IEEE. https://ro.ecu.edu.au/ecuworkspost2013/7020.
  • 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). IEEE. https://doi.org/10.1109/iCMLDE.2018.00025.

2018

Conference Publications

  • 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 (220-237). Springer. https://doi.org/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). IEEE. https://doi.org/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). IEEE. https://doi.org/10.1109/DICTA.2018.8615806.

2017

Conference Publications

  • 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). Association for Computing Machinery. https://doi.org/10.1145/3106426.3106545.
  • 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 (150-160). Springer. https://doi.org/10.1007/978-3-319-70353-4_13.
  • 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).
  • 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). IEEE. https://doi.org/10.1109/ICECTA.2017.8252036.

2015

Journal Articles

  • Cisonni, J., Lucey, AD., King, AJ., Islam, S., Lewis, R., Goonewardene, MS. (2015). Numerical simulation of pharyngeal airflow applied to obstructive sleep apnea: effect of the nasal cavity in anatomically accurate airway models. Medical and Biological Engineering and Computing, 53(11), 1129-1139. https://doi.org/10.1007/s11517-015-1399-z.
  • Patel, A., Islam, S., Murray, K., Goonewardene, M. (2015). Facial asymmetry assessment in adults using three-dimensional surface imaging. Progress in Orthodontics, 16(1), Article no. 36. https://doi.org/10.1186/s40510-015-0106-9.

Conference Publications

  • Islam, S., Goonewardene, M., Farella, M. (2015). A Review on Three Dimensional Facial Averaging for the Assessment of Orthodontic Disorders. Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering (391-397). Springer. https://doi.org/10.1007/978-3-319-06773-5_53.
  • Islam, S., Al-Mohammed, M., Islam, R., Bhattacharya, M., Alkharobi, T., Buhari, S. (2015). Design of an augmented telerobotic stereo vision system and associated security concerns. Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications (Article no. 7334405). IEEE. https://doi.org/10.1109/ICIEA.2015.7334405.

2014

Journal Articles

  • Tai, B., Goonewardene, MS., Murray, K., Koong, B., Islam, S. (2014). The reliability of using postero-anterior cephalometry and cone-beam CT to determine transverse dimensions in clinical practice. Australian Orthodontic Journal, 30(2), 132-142.

Conference Publications

  • Cisonni, J., Lucey, AD., King, A., Islam, S., Goonewardene, MS. (2014). In-silico study of the nasal cavity's influence on the pharyngeal wall pressure in anatomically-correct airway models of patients with obstructive sleep apnea. IFMBE Proceedings. The 15th International Conference on Biomedical Engineering ICBME 2013, 4th to 7th December 2013, Singapore (335-338). Springer. https://doi.org/10.1007/978-3-319-02913-9_85.

2013

Journal Articles

  • Islam, S., Davies, R., Bennamoun, M., Owens, RA., Mian, AS. (2013). Multibiometric human recognition using 3D ear and face features. Pattern Recognition, 46(3), 613-627. https://doi.org/10.1016/j.patcog.2012.09.016.
  • Cheung, G., Goonewardene, M., Islam, S., Murray, K., Koong, B. (2013). The validity of transverse intermaxillary analysis by traditional PA cephalometry compared with cone-beam computed tomography. Australian Orthodontic Journal, 29(1), 86-95.

Conference Publications

  • Islam, S., Lucey, A., Cisonni, J., Goonewardene, M., Bennamoun, M., Farella, M., Abduo, J. (2013). A three dimensional imaging-based framework for planning Maxillomandibular advancement surgery for the treatment of obstructive sleep apnoea. Proceedings 2013 Fourth World Congress on Software Engineering, WCSE 2013 (301-306). IEEE. https://doi.org/10.1109/WCSE.2013.55.

2012

Journal Articles

  • Islam, S., Bennamoun, M., Owens, RA., Davies, R. (2012). A review of recent advances in 3D ear- and expression-invariant face biometrics. ACM Computing Surveys, 44(3), article no. 14. https://doi.org/10.1145/2187671.2187676.

Conference Publications

  • Islam, S., Goonewardene, MS., Sillifant, P. (2012). Three dimensional imaging based diagnosis for obstructive sleep apnoea: A conceptual framework. Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence (55-65). CEUR-WS.

2011

Journal Articles

2010

Journal Articles

  • Al-Mouhamed, M., Nazeeruddin, M., Islam, S. (2010). Experimental Evaluation of Feedback Modalities of Five Telerobotic Tasks. IEEE Transactions on Instrumentation and Measurement, 59(2), 361-371. https://doi.org/10.1109/TIM.2009.2023828.

2008

Conference Publications

2006

Journal Articles

  • Islam, S., Sqalli, MH., Khan, S. (2006). Modeling and Formal Verification of DHCP Using SPIN. International Journal of Computer Science & Applications, 3(6), 145-159.

Research Projects

  • PEAT | Protecting peatland ecosystems and addressing threats in Southwestern Australia, Ian Potter Foundation, Grant, 2023 ‑ 2028, $879,816.
  • Development of a computer vision based system for recognition of limited waste items to be stored in Circle 8 Smart bin, MGX Enterprise Pty Ltd, Grant, 2023 ‑ 2024, $197,003.
  • Artificial intelligent enhanced stethoscope to improve the diagnosis of Heart Valve Disease (HVD), Department of Health WA, Future Health Research & Innovation Fund - Innovation Fellowship, 2023 ‑ 2024, $147,192.
  • Automated methods for evaluating structural vascular disease, National Health and Medical Research Council, Ideas Grants, 2020 ‑ 2024, $652,128.
  • Better and faster than the human eye: artificial intelligence and computational radiomics for foot x-rays in patients with diabetes-related foot infections, Department of Health WA, Research Translation Projects, 2022 ‑ 2024, $93,265.
  • Mardie Project Marine and Intertidal Research Offsets Program, Western Australian Marine Science Institution, Mardie Salt Marine Intertidal Research Offset, 2023 ‑ 2024.
  • Enhanced Tele-operation for improved control of Autonomous Field Robots in Challenging Environments, Defence Science and Technology Group of the Department of Defence, Scholarships to Support Industry Engagement 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, $20,000.
  • 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.

Research Student Supervision

Current Supervisions

Principal Supervisor

  • Doctor of Philosophy, Effective Mapping and Monitoring Using Remote Sensing Imagery

Associate Supervisor

  • Doctor of Philosophy, Towards AI Explainability: Unraveling Black-Box Models
  • Doctor of Philosophy, Multi-Modal Scene Understanding for Mobile Robot Navigation in Unstructured Outdoor Environments
  • Doctor of Philosophy, Unravelling Type 2 Diabetes Biomarkers Through Advance Single-Cell RNA Sequencing and N-Glycome Profiling.

Completed Supervisions

Principal Supervisor

  • Doctor of Philosophy, Artificial intelligence-assisted prediction, feature, selection, and multi-omics integration in exploing the interaction between IgG N-glycome and transcriptome and constructing the ageing clock
  • Doctor of Philosophy, A
  • Master of Science (Computer Science), Seagrass detection using deep learning
  • Doctor of Philosophy, Deep Learning-based Seagrass Detection and Classification from Underwater Digital Images
  • Doctor of Philosophy, Domain shift robustness in deep learnng models
  • Doctor of Philosophy, Deep Learning Augmentation for Medical Image Analysis

Co-principal Supervisor

  • Doctor of Philosophy, Multimodal Human Action Recognition using Deep Learning
  • 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

Associate Supervisor

  • Doctor of Philosophy, Teleoperation enhancement for improved control of unmanned ground vehicles through video transformation and deep learning based future frame prediction
  • Doctor of Philosophy, SSAMA@SoS: A framework to support the stochastic software architecture modelling and analysis for systems of systems
  • Master of Science (Computer Science), Affordance Learning for Visual-Semantic Perception
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