Publications

Please feel free to contact me if you are interested to have a look at any of these published papers.

PhD Thesis:

1. Islam, M. Z. (2008): Privacy Preservation in Data Mining through Noise Addition, PhD thesis in Computer Science, School of Electrical Engineering and Computer Science, The University of Newcastle, Australia.
   
   Thesis Available
   
   

Refereed Journal Articles:

2. Altememi, M., Favaloro, E., Islam, M. Z. and Santhakumar, A. (2025): Artificial Intelligence and Machine Learning in Thrombosis and Hemostasis: A Scoping Review of Clinical and Laboratory Applications, Challenges, and Future Directions, Clinical Chemistry and Laboratory Medicine, Accepted on 1 December 2025.

(SJR Q1 in Medicine Miscellaneous, H-index 127)

3. Newell, J., Rehman, S., Mamun, Q., and Islam, M. Z. (2025): Ternary Tree Enhanced Append-only Skip List: A High-Performance Blockchain Data Search Index, Information Sciences, Accepted on 23 October 2025.

(SJR Q1 in Artificial Intelligence, SJR H-index 243, Scopus Citescore 14.4, Scopus Highest Percentile 95% in Control and System Engineering)

Paper Available

4. Costadopoulos, N., Tien, D., Rehman, S. U. and Islam, M. Z. (2025): An Agnostic Interpretable Machine Learning for Knowledge Discovery Framework, IEEE Access, Digital Object Identifier 10.1109/ACCESS.2025.DOI .
   (SJR Q1 in Computer Science, SJR H-index 290, Scopus Citescore 9.0, Scopus Highest Percentile 90% in General Engineering)
   
   Paper Available
   
   

5. Naqvi, N., Rehman, S. U. and Islam, M. Z. (2025): WinDrift++: A Diversified Detector for Concept Drift, IEEE Transactions on Artificial Intelligence, Accepted on 17 September 2025.

(SJR Q1 in Artificial Intelligence, SJR H-index 31, Scopus Cite Score 6.4, Scopus Highest Percentile 73%)

Paper Available

6. Hossain, M. R. H., Islam, R., McGrath, S. R., Islam, M. Z., and Lamb, D. (2025): Mob-Based Cattle Weight Gain Forecasting Using ML Models, Smart Agricultural Technology, https://doi.org/10.1016/j.atech.2025.101428 .

(SJR Q1 in Agricultural and Biological Sciences, SJR H-index 33, Impact Factor 5.7, Scopus Cire Score 7.7, Scpus Highest Percentile 92%, Scopus Rank 18/228 in General Agricultural and Biological Sciences )

Paper Available

7. Ferdous, J., Islam, M. R., Mahboubi, A., and Islam, M. Z. (2025): A Novel Technique for Ransomware Detection Using Image Based Dynamic Features and Transfer Learning to Address Dataset Limitations, Scientific Reports, Article Number 32342 (2025), Volume 15, Published on 2 September 2025. 

(SJR Q1, SJR H-index 347, 2024 Impact Factor 3.9, the 3rd most cited journal in the world, Scopus Cite Score 6.7, Scopus Highest Percentile 89%)

Paper Available

8. Ispahany, J., Deho, O., B., Islam, M. R., Khan, M. A. and Islam, M. Z. (2025): RADAR: A Realistic Dataset for Advancing Ransomware Detection, Journal of Cybersecurity, Vol. xx, pg. x-x, ISSN: 2523-3246, Accepted on 12 June 2025 DOI: .
   
   (SJR Rank Q1, SJR H-Index 28, 2024 Impact Factor 5.71, 2024 Scopus CiteScore 7.7, Scopus Highest Percentile 81%, Rank 94/507 in Computer Networks and Communication)
   
   Paper Available
   
   

9. Ispahany, J., Islam, M. R., Khan, M. A. and Islam, M. Z. (2025): iCNN-LSTM+: A batch-based incremental ransomware detection system using Sysmon, IEEE Access, Vol. 13, pg. 87978-87998, Print ISSN: 2169-3536, Online ISSN: 2169-3536 DOI: 10.1109/ACCESS.2025.3569635.
   
   (SJR Rank Q1, SJR H-Index 290, 2024 Impact Factor 3.4, 2024 Scopus CiteScore 9.8)
   
   Paper Available
   
   

10. Haldar, S., Islam, M. R., Mamun, Q., Mahboubi, A., Walsh, P., and Islam, M. Z. (2025): A Comprehensive Survey on AI-enabled Secure Social Industrial Internet of Things in the Agri-Food Supply Chain, Smart Agriculture Technology, Vol. 11, Ausgust 2025, 100902. DOI: https://doi.org/10.1016/j.atech.2025.100902.
    
    (SJR Rank Q1, SJR H-Index 17, 2024 Impact Factor 6.2, 2024 Scopus CiteScore 4.2)
    
    Paper Available
    
    Pre-print Available.
    
    

11. Foster, K., Costadopoulos, N., Mahboubi, A., Rehman, S., and Islam, M. Z. (2025): Towards Privacy Preserving Data Sharing - An Australian Healthcare Perspective, IEEE Access, Accepted on 8 February 2025, DOI: 10.1109/ACCESS.2025.3545778.
    
    (SJR Rank Q1, SJR H-Index 204, 2024 Impact Factor 3.9, 2024 Scopus CiteScore 9.0, CiteScore Rank 22/302 in General Engineering)
    
    Collected Data Available.
    
    Paper Available
    
    

12. Ferdous, J., Islam, R., Mahboubi, A., and Islam, M. Z. (2025): A Survey on ML Techniques for Multi-Platform Malware Detection: Securing PC, Mobile Devices, IoT, and Cloud Environments, Sensors, 25(4), 1153, DOI: doi.org/10.3390/s25041153,
    
    (SJR Rank Q1/Q2, SJR H-Index 245, 2023 Impact Factor 3.4, 2023 Scopus CiteScore 7.3, CiteScore Rank 24/141 and 83% percentile in Instrumentation)
    
    Paper Available
    
    

13. Hossain, M. R. H., Islam, R., McGrath, S. R., Islam, M. Z., and Lamb, D. (2025): Learning-Based Estimation of Cattle Weight Gain and its Influencing Factors, Computers and Electronics in Agriculture, Vol. 231, April 2025, 110033, DOI: https://doi.org/10.1016/j.compag.2025.110033.
    
    (SJR Rank Q1, SJR H-Index 168, 2024 Impact Factor 7.7, 2025 Scopus CiteScore 15.3, CiteScore Rank 1/115 and 99% percentile in Horticulture)
    
    Full Paper Available
    
    

14. Thedchanamoorthy, G., Bewong, M., Mohammady, M., Zia, T., and Islam, M. Z. (2025): UD-LDP: A Technique for Optimally Catalyzing User Driven Local Differential Privacy, Future Generation Computer Systems (FGCS), Vol. 166, May 2025, 107712, DOI: https://doi.org/10.1016/j.future.2025.107712.
    
    (CORE 2020 Rank A, SJR Rank Q1, SJR H-Index 164, 2024 Impact Factor 6.2, 2025 Scopus CiteScore 19.9, CiteScore Rank 8/395 and 98% percentile in Computer Networks and Communications)
    
    Pre-print Available.
    
    Full Paper Available
    
    

15. John, G., Favaloro, E., Austin, S., Islam, M. Z., and Santhakumar, A. (2025): From Errors to Excellence: The Pre-Analytical Journey to Improved Quality in Diagnostics. A Scoping Review, Clinical Chemistry and Laboratory Medicine (CCLM), DOI: 10.1515/cclm-2024-1277 .
    
    (SJR Rank Q1, SJR H-Index 121, 2024 Impact Factor 3.8, 2025 Scopus CiteScore 11.3, CiteScore Rank 13/117 and 89% percentile in Clinical Biochemistry)
    
    Full Paper Freely Available
    
    
    

16. Gao, Y., Camtepe, S. A., Sultan, N. H., Bui, H. T., Mahboubi, A., Aboutorab, H., Bewong, M., Islam, R., Islam, M. Z., Chauhan, A., Gauravaram, P., and Singh, D. (2024): Security threats to agricultural artificial intelligence: Position and perspective, Computers and Electronics in Agriculture, Vol. 227, Part 1, December 2024, 109557, DOI: https://doi.org/10.1016/j.compag.2024.109557,
    
    (SJR Rank Q1, SJR H-Index 149, 2024 Impact Factor 8.3, 2024 Scopus CiteScore 13.6, CiteScore Rank 1/97 in Horticulture)
    
    Paper Available.
    
    Code Available.
    
    

17. Newell, J., Rehman, S., Mamun, Q., and Islam, M. Z. (2024): EASL: Enhanced Append-only Skip List Index For Agile Block Data Retrieval On Blockchain, Future Generation Computer Systems (FGCS), Vol. 164, March 2025, 107554, DOI: doi.org/10.1016/j.future.2024.107554,
    
    (SJR Rank Q1, SJR H-Index 164, 2024 Impact Factor 6.2, 2024 Scopus CiteScore 19.9)
    
    Paper Available.
    
    Code Available.
    
    

18. Ferdous, J., Islam, R., Mahboubi, A., and Islam, M. Z. (2024): AI-based Ransomware Detection: A Comprehensive Review, IEEE Access, Vol. 12, pp. 136666 - 136695, 2024, DOI: 10.1109/ACCESS.2024.3461965.
    
    (SJR Rank Q1, SJR H-Index 204, 2024 Impact Factor 3.9, 2024 Scopus CiteScore 9.0, CiteScore Rank: 22/302 General Engineering )
    
    Paper Available.
    
    

19. Heiyanthuduwage, S. R., Altas, I., Bewong, M., Islam, M. Z., and Deho, O. B. (2024): Decision Trees in Federated Learning: Current State and Future Opportunities, IEEE Access, DOI: 10.1109/ACCESS.2024.3440998, Vol. 12, pp. 127943 - 127965.
    
    (SJR Rank Q1, SJR H-Index 204, 2024 Impact Factor 3.9, 2024 Scopus CiteScore 9.0, CiteScore Rank: 22/302 General Engineering )
    
    Paper Available.
    
    

20. Raisa, R. A., Rodela, A. S., Yousuf, M. A., Azad, A.K.M., Alyami, S. A., Lio, P., Islam, M. Z., Pogrebna, G., and Moni, M. A. (2024): Deep and Shallow Learning Model-based Sleep Apnea Diagnosis Systems: A Comprehensive Study, IEEE Access, DOI: 10.1109/ACCESS.2024.3426928 , Date of Publication 11 July 2024, Electronic ISSN: 2169-3536.
    
    (SJR Rank Q1, SJR H-Index 204, 2024 Impact Factor 3.9, 2024 Scopus CiteScore 9.0, CiteScore Rank: 22/302 General Engineering )
    
    Paper Available.
    
    

21. Yates, D., Blanchard, C., Clarke, A., Rehman, S., Islam, M. Z. Ford. R, and Walsh, R. (2024): Combined Location Online Weather Data: Easy-to-use Targeted Weather Analysis for Agriculture, Climatic Change, DOI: , Accepted on 26 May 2024.
    
    (SJR Rank Q1, SJR H-Index 217, 2022 Impact Factor 4.8, 2024 Scopus CiteScore 8.5, CiteScore Rank: 18/137 Atmospheric Science, Highest Percentile 87% )
    
    Paper Available.
    
    Pre-print Available.
    
    

22. Clarke, A., Yates, D., Blanchard, C., Islam, M. Z. Ford. R, Rehman, S., and Walsh, R. (2024): Integrating Climate and Satellite Data for Multi-Temporal Pre-Harvest Prediction of Head Rice Yield in Australia, Remote Sensing, 2024; 16 (10): 1815. DOI: https://doi.org/10.3390/rs16101815, .
    
    (SJR Rank Q1, SJR H-Index 193, 2022 Impact Factor 5.0, 2024 Scopus CiteScore 8.3, CiteScore Rank: 16/195 General Earth and Planetary Sciences, Highest Percentile 92% )
    
    Paper Available.
    
    

23. Ispahany, J., Islam, M. R., Islam, M. Z. and Khan, M. A. (2024): Ransomware detection using machine learning: A review, research limitations and future directions, IEEE Access, DOI: 10.1109/ACCESS.2024.3397921.
    
    (SJR Rank Q1, SJR H-Index 204, 2024 Impact Factor 3.9, 2024 Scopus CiteScore 9.0, CiteScore Rank: 22/302 General Engineering )
    
    Paper Available.
    
    

24. Saleem, J., Islam, M. R., and Islam, M. Z. (2024): Darknet Traffic Analysis: A Systematic Literature Review, IEEE Access, Vol. 12, pg. 42423- 42452, Print ISSN 2169-3536, Online ISSN 2169-3536. DOI: 10.1109/ACCESS.2024.3373769.
    
    (SJR Rank Q1, SJR H-Index 204, 2024 Impact Factor 3.9, 2024 Scopus CiteScore 9.0, CiteScore Rank: 22/302 General Engineering)
    
    Paper Available.
    
    

25. Bui, H. T., Aboutorab, H., Mahboubi, A., Gao, G., Sultan, N., Chauhan, A., Parvez, M., Bewong, M., Islam, M. R., Islam, M. Z., Camtepe, S., Gauravaram, P., Dineshkumar, S., Babar, A., and Yan, S. (2024): Agriculture 4.0 and Beyond: Evaluating Cyber Threat Intelligence Sources and Techniques in Smart Farming Ecosystems, Computers and Security, Vol. 140, 2024, 103754, ISSN: 0167-4048, DOI: https://doi.org/10.1016/j.cose.2024.103754.
    
    (SJR Rank Q1, SJR H-Index 112, 2024 Impact Factor 5.6, 2024 Scopus CiteScore 11.1, CiteScore Rank: 8/885 in Law)
    
    Pre-print Available.
    
    Paper Available.
    
    

26. Clarke, A., Yates, D., Blanchard, C., Islam, M. Z., Ford, R., Rehman, S., and Walsh. R. (2024): The Effect of Dataset Construction and Data Pre-processing on the eXtreme Gradient Boosting Algorithm Applied to Head Rice Yield Prediction in Australia, Computers and Electronics in Agriculture, Vol. 219, 2024, 108716, ISSN: 0168-1699.
    
    (SJR Rank Q1, SJR H-Index 149, 2024 Impact Factor 8.3, 2024 Scopus CiteScore 13.6, CiteScore Rank: 1/97 in Horticulture)
    
    Paper Available.
    
    

27. Ip, R. H. L., Bewong, M., Adnan, M. N., and Islam, M. Z. (2024): Estimating the Structural Diversity Introduced by Decision Forest Algorithms : A Probabilistic Approach, Knowledge-Based Systems, DOI: https://doi.org/10.1016/j.knosys.2024.111435, ISSN: 0950-7051.
    
    (SJR Rank Q1, SJR H-Index 151, 2024 Impact Factor 8.8, 2024 Scopus CiteScore 12.3, CiteScore Rank: 9/127 in Management Information Systems)
    
    Paper Available.
    
    

28. Ferdous, J., Islam, R., Mahboubi, A., and Islam, M. Z. (2023): A Review of State-of-the-Art Malware Attack Trends and Defense Mechanisms, IEEE Access, DOI: 10.1109/ACCESS.2023.3328351, Electronic ISSN: 2169-3536.
    
    (SJR Rank Q1, SJR H-Index 158, 2021 Impact Factor 3.367, 2020 Scopus CiteScore 4.8, CiteScore Rank: 39/297 in General Engineering)
    
    Paper Available.
    
    

29. Rahman, M. A., Hossain, B. A., Bewong, M., Islam, M. Z., Zhao, Y., Groves, J., and Judith, R. (2023): A Semi-Automated Hybrid Schema Matching Framework for Vegetation Data Integration, Expert Systems With Applications, Vol. 229, Part A, pg. 1- 10, 2023. DOI: https://doi.org/10.1016/j.eswa.2023.120405.
    
    (SJR Rank Q1, SJR H-Index 249, 2021 Impact Factor 8.665, 2021 Scopus CiteScore 12.2, CiteScore Rank: 9/300 in General Engineering)
    
    Paper Available
    
    Preprint Available
    
    

30. Bewong, M., Wondoh, J., Kwashie, S., Liu, L., Li, J., Islam, M. Z., and Kernot, D. (2023): DATM: A Novel Data Agnostic Topic Modelling Technique with Improved Effectiveness for both Short and Long Text, IEEE Access, Vol. 11, pg. 32826-32841, Print ISSN 2169-3536, Online ISSN 2169-3536 DOI: 10.1109/ACCESS.2023.3262653.
    
    (SJR Rank Q1, SJR H-Index 158, 2021 Impact Factor 3.367, 2020 Scopus CiteScore 4.8, CiteScore Rank: 39/297 in General Engineering)
    
    Paper Available.
    
    Code Available.
    
    

31. Sun, N., Li, C-T., Chan, H., Islam, M. Z., Islam, M. R., and Armstrong, W. (2023): On the Development of a Protection Profile Module for Encryption Key Management Components, IEEE Access, Vol. 11, pg. 9113-9121, Print ISSN 2169-3536, Online ISSN 2169-3536 DOI: 10.1109/ACCESS.2023.3239043.
    
    (SJR Rank Q1, SJR H-Index 158, 2021 Impact Factor 3.367, 2020 Scopus CiteScore 4.8, CiteScore Rank: 39/297 in General Engineering)
    
    Paper Available.
    
    

32. Rahman, M. G., and Islam, M. Z. (2022): A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization, IEEE Transactions on Services Computing, Vol. 16 (3), pg. 1555-1571, DOI: 10.1109/TSC.2022.3213238.
    
    (CORE 2020 Rank A*, SJR Rank Q1, SJR H-Index 77, 2022 Impact Factor 11.019, 2020 Scopus CiteScore 13.6, CiteScore Rank: 23/747 in Computer Science Applications, Scopus Highest Percentile 96%)
    
    Paper Available.
    
    Code Available.
    
    Pre-print Available.
    
    

33. Condran, S., Bewong, M., Islam, M. Z., Maphosa, L., and Zheng, L. (2022): Machine Learning in Precision Aggriculture: A Survey on Trends, Applications and Evaluations over Two Decades, IEEE Access, Vol. 10, pp. 73786-73803, DOI: 10.1109/ACCESS.2022.3188649.
    
    (SJR Rank Q1, SJR H-Index 158, 2021 Impact Factor 3.367, 2020 Scopus CiteScore 4.8, CiteScore Rank: 39/297 in General Engineering)
    
    Paper Available.
    
    

34. Sun, N., Li, C-T., Chan, H., Islam, M. Z., Islam, M. R., and Armstrong, W. (2022): How Do Organizations Seek Cyber Assurance? Investigations on the Adoption of the Common Criteria and Beyond, IEEE Access, Vol. 10, pg. 71749-71763, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2022.3187211.
    
    (SJR Rank Q1, SJR H-Index 158, 2021 Impact Factor 3.367, 2020 Scopus CiteScore 4.8, CiteScore Rank: 39/297 in General Engineering)
    
    Paper Available.
    
    

35. Sun, N., Li, C-T., Chan, H., Le, B. D., Islam, M. Z., Zhang, L. Y., Islam, M. R., and Armstrong, W. (2022): Defining Security Requirements with the Common Criteria: Applications, Adoptions, and Challenges, IEEE Access, Vol. 10, Pg. 44756-44777, Print ISSN: 2169-3536, Online ISSN: 2169-3536, DOI: 10.1109/ACCESS.2022.3168716.
    
    (SJR Rank Q1, SJR H-Index 158, 2021 Impact Factor 3.367, 2020 Scopus CiteScore 4.8, CiteScore Rank: 39/297 in General Engineering)
    
    Paper Available.
    
    Pre-print Available
    
    

36. Yates, D., and Islam, M. Z. (2022): Data Mining on Smartphones: An Introduction and Survey, ACM Computing Surveys, Vol. 55, Issue 5, Article No. 101, pp. 1 - 38 DOI: https://doi.org/10.1145/3529753.
    
    (CORE 2020 Rank A*, SJR Rank Q1, SJR H-Index 163, 2020 Impact Factor 10.282, 2022 Scopus CiteScore 22.3, CiteScore Rank: 1/226 in General Computer Science)
    
    Paper Available.
    
    

37. Rahman, M. G., and Islam, M. Z. (2022): Adaptive Decision Forest: An Incremental Machine Learning Framework, Pattern Recognition, pg. 108345, vol. 122, ISSN 0031-3203. DOI: https://doi.org/10.1016/j.patcog.2021.108345.
    
    (CORE 2020 Rank A*, SJR Rank Q1, SJR H-Index 210, 2021 Impact Factor 7.740, 2020 Scopus CiteScore 15.7, CiteScore Rank: 9/227 in Artificial Intelligence)
    
    Paper Available
    
    Code Available
    
    Pre-print Available
    
    

38. Islam, M. Z., Ali, R., Haider, A., Islam, M. Z. and Kim, H. S. (2021): PAKES: A Reinforcement Learning-Based Personalized Adaptability Knowledge Extraction Strategy for Adaptive Learning Systems, IEEE Access, Vol. 9, pp. 155123-155137, 2021, DOI: 10.1109/ACCESS.2021.3128578.
    
    (SJR Rank Q1, SJR H-Index 158, 2021 Impact Factor 3.367, 2020 Scopus CiteScore 4.8, CiteScore Rank: 39/297 in General Engineering)
    
    Paper Available.
    
    

39. Furner, M., Islam, M. Z., and Li, C-T. (2021): Knowledge Discovery and Visualisation Framework using Machine Learning for Music Information Retrieval from Broadcast Radio Data, Expert Systems With Applications, Vol. 182, 15 November, 2021, pg. 1-11. DOI: https://doi.org/10.1016/j.eswa.2021.115236.
    
    (SJR Rank Q1, SJR H-Index 207, 2021 Impact Factor 6.954, 2020 Scopus CiteScore 12.7, Scopus Highest CiteScore Percentile: 98%, CiteScore Rank: 5/297 in General Engineering)
    
    Paper Available.
    
    

40. Adnan, M. N., Ip, R.H.L., Bewong, M., and Islam, M. Z. (2021): BDF: A New Decision Forest Algorithm, Information Sciences, Vol. 569, August 2021, pg. 687-705. DOI: https://doi.org/10.1016/j.ins.2021.05.017.
    
    (CORE 2020 Rank A, SJR Rank Q1, SJR H-Index 169, 2021 Impact Factor 5.91, 2018 Scopus Highest CiteScore Percentile: 97%, CiteScore Rank: 4/118 in Theoretical Computer Sciences)
    
    Paper Available.
    
    Pre-print Available
    
    

41. Yates, D. and Islam, M. Z. (2021): FastForest: Increasing Random Forest Processing Speed While Maintaining Accuracy, Vol. 557, January 2021, pg. 130-152, Information Sciences, DOI: https://doi.org/10.1016/j.ins.2020.12.067.
    
    (CORE 2020 Rank A, SJR Rank Q1, SJR H-Index 169, 2021 Impact Factor 5.91, 2018 Scopus Highest CiteScore Percentile: 97%, CiteScore Rank: 4/118 in Theoretical Computer Sciences)
    
    Paper Available.
    
    Code Available.
    
    Pre-print Available
    
    

42. Reza, K. J., Islam, M. Z., and Estivill-Castro, V. (2021): Privacy Protection of Online Social Network Users, against Attribute Inference Attacks, through the use of a Set of Exhaustive Rules, Neural Computing and Applications. DOI: https://doi.org/10.1007/s00521-021-05860-8
    
    (CORE 2020 Rank B, SJR Rank Q1 in Software, SJR H-Index 68, 2019 Impact Factor 4.774, 2019 Scopus Highest CiteScore Percentile: 81%, CiteScore Rank: 37/202 in Artificial Intelligence)
    
    Paper Available.
    
    Pre-print Available
    
    

43. Hossain, D., Kabir, M. A., Adnan, A. and Islam, M. Z. (2021): Detecting Autism Spectrum Disorder using Machine Learning Techniques: An Experimental Analysis on Toddler, Child, Adolescent and Adult Datasets, Health Information Science and Systems, Vol. 9, Issue 1, Article Number 17. DOI: 10.1007/s13755-021-00145-9.
    
    (SJR Rank Q1 in Health Informatics and Health Information Management)
    
    Paper Available.
    
    Pre-print Available
    
    

44. Siers, M. and Islam, M. Z. (2020): Class Imbalance and Cost-Sensitive Decision Trees: A Unified Survey Based on a Core Similarity, ACM Transactions on Knowledge Discovery from Data, Vol. 15, No. 1, Article 4, December 2020, pg. 4:1 - 4:31. DOI: https://doi.org/10.1145/3415156.
    
    (Scopus Highest Percentile: 90%, Scopus Rank 21/206 in General Computer Science, SJR Rank Q1, H-Index 44, 2018 Impact Factor: 2.53)
    
    Paper Available.
    
    Pre-print Available
    
    

45. Costadopoulos, N., Islam, M. Z. and Tien, D. (2020): A Knowledge Discovery and Visualisation Method for Unearthing Emotional States from Physiological Data, International Journal of Machine Learning and Cybernetics, Vol. 12, pg. 843-858. DOI: https://link.springer.com/article/10.1007/s13042-020-01205-4.
    
    (Scopus Highest Percentile: 80%, Scopus Rank 75/373 in Software, SJR Rank Q1 in Software, H-Index 38, 2019 Impact Factor: 3.753)
    
    Paper Available
    
    Pre-print Available
    
    

46. Naqvi, N., Rehman, S., and Islam, M. Z. (2020): A Hyperconnected Smart City Framework: Digital Resources Using Enhanced Pedagogical Techniques, Australasian Journal of Information Systems (AJIS), Vol. 24, September 2020, pg. 1 - 42, doi: https://doi.org/10.3127/ajis.v24i0.2531.
    
    (CORE 2020 Rank B, ABDC 2019 Rank A)
    
    Paper Available
    
    

47. Fletcher, S. and Islam, M. Z. (2019): Decision Tree Classification with Differential Privacy: A Survey, ACM Computing Surveys, Vol. 52, Issue 4, September 2019, Article No. 83, pg. 83:1 -83:33, Paper Available.
    
    (CORE Rank A*, Scopus Highest Percentile: 99%, Scopus Rank 2/206 in General Computer Science, SJR Rank Q1, H-Index 132, 2018 Impact Factor: 6.13)
    
    Pre-print Available
    
    

48. Rahman, M. A. and Islam, M. Z.(2018): Application of a Density Based Clustering Technique on Biomedical Datasets, Applied Soft Computing, Vol. 73, pg. 623-634, 2018 https://www.sciencedirect.com/science/article/pii/S1568494618305295.
    
    (SJR Rank Q1, SJR H-Index 110, 2018 Impact Factor 4.87, 2018 Scopus Highest CiteScore Percentile: 93%, CiteScore Rank: 24/358 in Software)
    
    Pre-print Available
    
    Final Paper Available
    
    

49. Siers, M. J. and Islam, M. Z.(2018): Novel Algorithms for Cost-Sensitive Classification and Knowledge Discovery in Class Imbalanced Datasets with an Application to NASA Software Defects, Information Sciences, Vol. 459, pg. 53-70, https://doi.org/10.1016/j.ins.2018.05.035.
    
    (CORE 2020 Rank A, SJR Rank Q1, SJR H-Index 154, 2018 Impact Factor 5.52, 2018 Scopus Highest CiteScore Percentile: 97%, CiteScore Rank: 4/118 in Theoretical Computer Sciences)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    YouTube Video Available on a Knowledge Discovery Technique
    
    

50. Islam, M. Z., Estivill-Castro, V., Rahman, M. A. and Bossomaier, T. (2018): Combining K-Means and a Genetic Algorithm through a Novel Arrangement of Genetic Operators for High Quality Clustering, Expert Systems with Applications (ESWA), Vol. 91, pg. 402-417, https://doi.org/10.1016/j.eswa.2017.09.005.
    
    (SJR Rank Q1, SJR H-Index 162, 2018 Impact Factor: 4.29, 2018 Scopus Highest CiteScore Percentile: 98%, CiteScore Rank: 5/275 in General Engineering)
    
    Pre-print Available
    
    Full Paper Available
    
    YouTube Video on Freely Available Software
    
    

51. Fletcher, S. and Islam, M. Z. (2018): Comparing Sets of Patterns with the Jaccard Index, Australasian Journal of Information Systems (AJIS), Vol. 22, pg. 1-17, DOI: http://dx.doi.org/10.3127/ajis.v22i0.1538
    
    (ABDC 2016 Rank A, CORE Rank B)
    
    Pre-print Available
    
    

52. Siddiqui, M. K., Islam, M. Z. and Kabir, A. (2018): A novel Quick Seizure Detection and Localization through Brain Data Mining on ECoG dataset, Neural Computing and Applications (NCAA), https://doi.org/10.1007/s00521-018-3381-9, Springer London, Print ISSN 0941-0643, Online ISSN 1433-3058, pg. 1-14.
    
    (SJR Rank Q1, SJR H-Index 57, 2018 Impact Factor 4.66, CORE Rank B)
    
    Paper Online
    
    

53. Fletcher, S. and Islam, M. Z. (2017): Measuring Rule Retention in Anonymized Data - When One Measure Is Not Enough, Transactions on Data Privacy (TDP), Volume 10, Issue 3, pg. 175 - 201.
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    
    Available from the Journal
    
    

54. Adnan, M. N. and Islam, M. Z. (2017): Forest PA: Constructing a Decision Forest by Penalizing Attributes used in Previous Trees, Expert Systems with Applications (ESWA), Vol. 89, pg. 389 - 403, DOI: https://doi.org/10.1016/j.eswa.2017.08.002.
    
    (SJR Rank Q1, SJR H-Index 162, 2018 Impact Factor: 4.29, 2018 Scopus Highest CiteScore Percentile: 98%, CiteScore Rank: 5/275 in General Engineering)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    YouTube Video Available
    
    YouTube Video on Freely Available Software for this Paper
    
    

55. Fletcher, S. and Islam, M. Z. (2017): Differentially Private Random Decision Forests using Smooth Sensitivity, Expert Systems with Applications (ESWA), Vol. 78, pg. 16-31, DOI: http://dx.doi.org/10.1016/j.eswa.2017.01.034.
    
    (SJR Rank Q1, SJR H-Index 162, 2018 Impact Factor: 4.29, 2018 Scopus Highest CiteScore Percentile: 98%, CiteScore Rank: 5/275 in General Engineering)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    The code was implemented by IBM as a library at https://github.com/IBM/differential-privacy-library/blob/main/diffprivlib/models/forest.py
    
    

56. Adnan, M. N. and Islam, M. Z. (2017): ForEx++: A New Framework for Knowledge Discovery from Decision Forests, Australasian Journal of Information Systems (AJIS), Vol. 21, pg. 1-20, ISSN Online: 1326-2238 Hard copy: 1449-8618, DOI http://dx.doi.org/10.3127/ajis.v21i0.1694.
    
    With my PhD student during his PhD studies.
    
    (ABDC 2016 Rank A, CORE Rank B)
    
    Pre-print Available
    
    Final Paper Available
    
    YouTube Video Available
    
    

57. Islam, M. Z., D'Alessandro, S., Furner, M., Johnson, L., Gray, D. and Carter, L. (2016): Brand Switching Pattern Discovery by Data Mining Techniques for the Telecommunication Industry in Australia, Australasian Journal of Information Systems, pg. 1 - 17, Vol. 20, DOI: http://dx.doi.org/10.3127/ajis.v20i0.1420
    (ABDC 2016 Rank A, CORE Rank B)
    
    Pre-print Available
    
    Final Paper Available
    
    

58. Beg, A. H., Islam, M. Z., and Estivill-Castro. V. (2016): Genetic Algorithm with Healthy Population and Multiple Streams Sharing Information for Clustering, Knowledge-Based Systems, Vol. 114, pp. 61-78, ISSN 0219-1377, Springer London. doi: http://dx.doi.org/10.1016/j.knosys.2016.09.030
    
    (SJR Rank Q1, SJR H-Index 94, 2018 Impact Factor: 5.10, 2018 Scopus Highest CiteScore Percentile: 95%, CiteScore Rank: 18/358 in Software)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    Full paper available
    
    

59. Adnan, M. N. and Islam, M. Z. (2016): Optimizing the Number of Trees in a Decision Forest to Discover a Subforest with High Ensemble Accuracy using a Genetic Algorithm, Knowledge-Based Systems, Vol. 110, pp. 86-97, ISSN 0219-1377, Springer London. doi: http://dx.doi.org/10.1016/j.knosys.2016.07.016 Available at Here
    
    (SJR Rank Q1, SJR H-Index 94, 2018 Impact Factor: 5.10, 2018 Scopus Highest CiteScore Percentile: 95%, CiteScore Rank: 18/358 in Software)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    YouTube Video on the Paper
    
    

60. Bernoth, M., Burmeister, O. K., Morrison, M., Islam, M. Z., Onslow, F., and Cleary, M. (2016): The impact of a participatory care model on work satisfaction of care workers and the functionality, connectedness and mental health of community dwelling older people, Issues in Mental Health Nursing, Vol. 37, Issue 6, pp. 429-35, doi: 10.3109/01612840.2016.1149260.
    (SJR 2013 Rank Q1)
    
    Pre-print Available
    
    

61. Thomas, C., Burmeister, O. K., Islam, M. Z., Dayhew, M., and Crichton, M. (2016): Client Welfare & Communication of Mental Health Data, Post Publication Review, Australasian Journal of Information Systems, Vol. 20, pg. 1-5.
    (ABDC 2013 Rank A, CORE Rank B)
    
    Pre-print Available
    
    

62. Rahman, M. G., and Islam, M. Z. (2016): Discretization of Continuous Attributes Through Low Frequency Numerical Values and Attribute Interdependency, Expert Systems with Applications (ESWA), Vol. 45, pp. 410-423, DOI: 10.1016/j.eswa.2015.10.005, 1 March, 2016.
    (SJR Rank Q1, SJR H-Index 162, 2018 Impact Factor: 4.29, 2018 Scopus Highest CiteScore Percentile: 98%, CiteScore Rank: 5/275 in General Engineering)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    YouTube Video on the Paper is Available
    
    

63. Siers, M., and Islam, M. Z. (2015): Software Defect Prediction Using a Cost Sensitive Decision Forest and Voting, and a Potential Solution to the Class Imbalance Problem, Information Systems, Vol. 51, pg. 62-71.
    (CORE Rank A*, SJR Rank Q1, SJR H-Index 76, 2018 Impact Factor: 2.06, 2018 Scopus Highest CiteScore Percentile: 88%, CiteScore Rank: 18/150 in Hardware and Architecture)
    
    With my Honours student during his Honours studies.
    
    Pre-print Available
    
    YouTube Video on the Paper
    
    YouTube Video on Freely Available Software for this Paper
    
    

64. Rahman, M. G., and Islam, M. Z. (2015): Missing Value Imputation using a Fuzzy Clustering Based EM Approach, Knowledge and Information Systems, Vol. 46, Issue 2, pp. 389-422, ISSN 0219-1377, Springer London. doi: 10.1007/s10115-015-0822-y
    
    (SJR Rank Q1, SJR H-Index 56, 2018 Impact Factor: 2.39, 2018 Scopus Highest CiteScore Percentile: 82%, CiteScore Rank: 27/150 in Hardware and Architecture)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    YouTube Video on the Paper is Available
    
    

65. Burmeister, O., Islam, M. Z., Dayhew, M., Crichton, M. (2015): Enhancing Client Welfare through Better Communication of Private Mental Health Data Between Rural Service Providers, Australasian Journal of Information Systems (AJIS), Vol. 19, pp. 1 -14, DOI: http://dx.doi.org/10.3127/ajis.v19i0.1206.
    
    ABDC 2013 Rank A, CORE Rank B. http://journal.acs.org.au/index.php/ajis/article/view/1206
    
    Pre-print Available
    
    

66. Fletcher, S., and Islam, M. Z. (2015): An Anonymization Technique using Intersected Decision Trees , Journal of King Saud University - Computer and Information Sciences, Vol. 27, Issue 3, pp. 297 - 304, Elsevier.(Available on line at http://dx.doi.org/10.1016/j.jksuci.2014.06.015 )
    
    With my PhD student during his Honours studies.
    
    Pre-print Available
    
    

67. Rahman, M. A., Islam, M. Z., and Bossomaier, T. (2015): ModEx and Seed-Detective: Two Novel Techniques for High Quality Clustering by using Good Initial Seeds in K-Means, Journal of King Saud University - Computer and Information Sciences, Vol. 27, Issue 2, pp. 113 - 128, doi:10.1016/j.jksuci.2014.04.002, Elsevier.
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    

68. Fletcher, S., and Islam, M. Z. (2015): Measuring Information Quality for Privacy Preserving Data Mining, International Journal of Computer Theory and Engineering, Vol. 7, No. 1, pp. 21-28, February 2015, DOI: 10.7763/IJCTE.2015.V7.924. (Available here)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    

69. Al-Saggaf, Y., and Islam, M. Z. (2015): Data Mining and Privacy of Social Network Sites' Users: Implications of the data mining problem, Science and Engineering Ethics, Vol. 21, Issue 4, pp. 941-966, DOI 10.1007/s11948-014-9564-6, Springer, (available at Springer Link )
    (ERA Rank A, ISI Web of Science Rank Q1, ranked the 3rd out of 56 journals of its category of history and philosphy of science as on 15 Oct 2014, 2013 Impact Factor: 1.516) (CORE Rank A, SJR Rank Q1, SJR H-Index 43, 2018 Impact Factor: 2.27, 2018 Scopus Highest CiteScore Percentile: 90%, CiteScore Rank: 4/36 in Issues, Ethics and Legal Aspects)
    
    Pre-print Available
    
    

70. Rahman, M. A., and Islam, M. Z. (2014): A Hybrid Clustering Technique Combining a Novel Genetic Algorithm with K-Means, Knowledge-Based Systems, Vol. 71, November 2014, pp. 345-365, DOI: 10.1016/j.knosys.2014.08.011, Available at http://dx.doi.org/10.1016/j.knosys.2014.08.011
    (SJR Rank Q1, SJR H-Index 94, 2018 Impact Factor: 5.10, 2018 Scopus Highest CiteScore Percentile: 95%, CiteScore Rank: 18/358 in Software)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    

71. Rahman, M. G., and Islam, M. Z. (2014): FIMUS: A Framework for Imputing Missing Values Using Co-appearance, Correlation and Similarity Analysis, Knowledge-Based Systems, Vol. 56, pp. 311-327, January 2014, DOI: 10.1016/j.knosys.2013.12.005 Available at http://dx.doi.org/10.1016/j.knosys.2013.12.005
    (SJR Rank Q1, SJR H-Index 94, 2018 Impact Factor: 5.10, 2018 Scopus Highest CiteScore Percentile: 95%, CiteScore Rank: 18/358 in Software)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    YouTube Video Available
    
    

72. Rahman, M. G., and Islam, M. Z. (2013): Missing Value Imputation Using Decision Trees and Decision Forests by Splitting and Merging Records: Two Novel Techniques, Knowledge-Based Systems, Vol. 53, pp. 51 - 65, ISSN 0950-7051, DOI information: 10.1016/j.knosys.2013.08.023, Available at http://www.sciencedirect.com/science/article/pii/S0950705113002591
    (SJR Rank Q1, SJR H-Index 94, 2018 Impact Factor: 5.10, 2018 Scopus Highest CiteScore Percentile: 95%, CiteScore Rank: 18/358 in Software)
    
    With my PhD student during his PhD studies.
    
    Pre-print Available
    
    YouTube Video Available
    
    YouTube video on a Freely Available Software
    
    

73. Al-Saggaf, Y., and Islam, M. Z. (2013): A Malicious Use of a Clustering Algorithm to Threaten the Privacy of a Social Networking Site User, World Journal of Computer Application and Technology, Vol. 1, Issue 2, pg. 29-34, DOI:10.13189/wjcat.2013.010202, Available at http://www.hrpub.org/download/201309/wjcat.2013.010202.pdf
    
    Pre-print Available
    
    

74. Al-Saggaf, Y., and Islam, M. Z. (2012): Privacy in Social Network Sites (SNS) - the threats from Data Mining, Ethical Space: The International Journal of Communication Ethics, Vol. 9, Issue 4, pg. 32 - 40, ISSN 1742-0105. (available at http://journals.communicationethics.net/index.php )
    (ERA Rank A)
    
    Pre-print Available
    
    

75. Islam, M. Z., and Brankovic, L.(2011): Privacy Preserving Data Mining: A Noise Addition Framework Using a Novel Clustering Technique, Knowledge-Based Systems Vol. 24, Issue 8, ISBN 0950-7051,(December 2011) pg. 1214-1223, (DOI: 10.1016/j.knosys.2011.05.011)
    (SJR Rank Q1, SJR H-Index 94, 2018 Impact Factor: 5.10, 2018 Scopus Highest CiteScore Percentile: 95%, CiteScore Rank: 18/358 in Software)
    
    With my respected PhD supervisor.
    
    Pre-print Available
    
    

76. Zia, T. A., Al-Saggaf, Y., Islam, M. Z., Zheng, L., and Weckert, J. (2009): The Digital Divide in Asia: Cases from Yemen, Bangladesh, Pakistan and China, Journal of Information Ethics (JIE). Vol. 18, No. 2 (Fall 2009). McFarland & Company, Inc. Publishers, pg. 50 - 76.
    (ERA 2010 Rank B)
    
    Pre-print Available
    
    

Book Chapters:

77. Al-Saggaf, Y., and Islam, M. Z. (2023): Privacy in social network sites (SNS): The threats from data mining, Ethical Space - Journal with a difference: Celebrating 20 Years. Bradshaw, T., Joseph, S., Keeble, R. L. & Matheson, D. (eds.). Suffolk, UK: Abramis Academic, Vol. 1. p. 171-186 15 p.
    
    Pre-print Available
    
    

78. Reza, K. J., Islam, M. Z., and Estivill-Castro, V. (2020): Protection of User-Defined Sensitive Attributes on Online Social Networks against Attribute Inference Attack via Adversarial Data Mining, In: Mori P., Furnell S., Camp O. (eds) Information Systems Security and Privacy. ICISSP 2019. Communications in Computer and Information Science, pp. 230 - 249, vol 1221. Springer, Cham, DOI: https://doi.org/10.1007/978-3-030-49443-8_11, Print ISBN: 978-3-030-49442-1, Online ISBN: 978-3-030-49443-8.
    
    Pre-print Available
    
    

79. Brankovic, L, Islam, M. Z. and Giggins H (2007): Privacy-Preserving Data Mining, Security, Privacy and Trust in Modern Data Management, Springer, Editors Milan Petkovic and Willem Jonker ISBN: 978-3-540-69860-9, Chapter 11, pg. 151-166.
    
    Pre-print Available

Refereed Conference Papers:

80. Rahman, M. M., Mamun, Q., Bewong, M., and Islam, M. Z. (2025): DriftSense: Adaptive Drift Detection with Incremental Hoeffding Trees for Real-Time Spatial Crowdsourcing, In Proceedings of the 23rd Australasian Data Science and Machine Learning Conference (AusDM 2025), Brisbane, Australia, 26 - 28 November 2025. Accepted on 22 September 2025.

81. Hasan, M. M., Islam, R., Mamun, Q., Islam, M. Z., and Gao, J. (2025): LARFS: Lightweight Feature Selection Framework for Enhanced Robustness and Efficiency in Cybersecurity Systems, In Proceedings of the 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), November 2 -5, 2025, Los Angeles, USA. Accepted on 15 September 2025.

82. Hasan, M. M., Islam, R., Mamun, Q., Islam, M. Z., and Gao, J. (2025): PEAF: Payload Entropy Analysis Framework for Cybersecurity Classifier Robustness Evaluation, In Proceedings of the 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), November 2 -5, 2025, Los Angeles, USA. Accepted on 3 September 2025.

83. Hasan, M. M., Islam, R., Mamun, Q., Islam, M. Z., and Gao, J. (2025): Enhancing Network Intrusion Detection: a Real-Time Adaptive Framework for Temporal Evasion Attack Generation and Mitigation, In Proceedings of the 50th IEEE Conference on Local Computer Networks (LCN 2025), 14-16 October, 2025 Sydney Australia. CORE 2023 Rank B.
    
    Paper Available

84. Hasan, M. M., Islam, R., Mamun, Q., Islam, M. Z., and Gao, J. (2025): Implementing Practical Problem-Space Adversarial Attacks on Modern Network Intrusion Detection Systems, In Proceedings of the 50th IEEE Conference on Local Computer Networks (LCN 2025), 14-16 October, 2025 Sydney Australia. CORE 2023 Rank B.
    
    Paper Available

85. Ferdous, E., Rahman, M. G., Mahmood, A., Rehman, S., and Islam, M. Z. (2025): An Adaptive Learning System for Anomaly Detection in SDN, In Proceedings of the 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 5 - 8 October, 2025, Vienna, Austria. CORE 2023 Rank B.
    
    Paper Available
    
    
    
    

86. Hasan, M. M., Islam, R., Mamun, Q., Islam, M. Z., and Gao, J. (2025): Cross-Domain Adversarial Attacks: Translating Network Intrusion to CAN Bus Evasion in V2X Environments, In Proceedings of the 2025 IEEE 101st Vehicular Technology Conference: VTC2025-Spring, 17 - 20 June 2025, OSLA, Norway. CORE 2023 Rank B.
    
    Paper Available
    
    
    
    

87. Hasan, M. M., Islam, R., Mamun, Q., Islam, M. Z., and Gao, J. (2024): Enhancing Network Intrusion Detection Systems: A Real-time Adaptive Machine Learning Approach for Adversarial Packet-Mutation Mitigation, In Proceedings of the 22nd International Symposium on Network Computing and Applications (NCA 2024), 24 October - 26 October 2024, Bertinoro, Italy. pp. 227-235, doi: 10.1109/NCA61908.2024.00042. CORE 2023 Rank B.
    
    Paper Available
    
    
    
    Pre-print Available
    
    
    
    

88. Parvez, M. Z., Islam, R. and Islam, M. Z. (2024): CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment, In Proceedings of the 25th International Conference on Web Information Systems Engineering (WISE 2024), pp 90-100, 2 December - 5 December, 2024, Doha, Qatar. CORE 2023 Rank B.
    
    Paper Available
    
    Pre-print Available
    
    Code Available
    
    

89. Thedchanamoorthy, G. , Bewong, M., Mohammady, M., Zia, T., and Islam, M. Z. (2024): FUD-LDP: Fully User Driven Local Differential Privacy, The 25th International Conference on Web Information Systems Engineering (WISE 2024), pp 74-83, 2 December - 5 December, 2024, Doha, Qatar. CORE 2023 Rank B.
    
    Paper Available
    
    

90. Condran, S., Bewong, M., Kwashie, S., Islam, M. Z., Altas, I., and Condran, J. (2024): MAPX: An explainable model-agnostic framework for the detection of false information on social media networks, The 25th International Conference on Web Information Systems Engineering (WISE 2024), pp 116-127, 2 December - 5 December, 2024, Doha, Qatar. CORE 2023 Rank B.
    
    Received the Best Paper Award
    
    Paper Available
    
    Pre-print Available
    
    

91. Jiang, Y., Bewong, M., Mahboubi, A., Halder, S., Islam, R., Islam, M. Z., Ip, R., Gauravaram, P., and Xue, J. (2024): A Graph-Based Approach for Software Functionality Classification on the Web, The 25th International Conference on Web Information Systems Engineering (WISE 2024), pp 58 - 73, 2 December - 5 December, 2024, Doha, Qatar. CORE 2023 Rank B.
    
    Paper Available
    
    

92. Ispahany, J., Islam, R., Khan, M. A., and Islam, M. Z. (2024): iCNN-LSTM: An incremental CNN-LSTM based ransomware detection system, The 25th International Conference on Web Information Systems Engineering (WISE 2024), PhD Symposium, 2 December - 5 December, 2024, Doha, Qatar. Accepted on 15 October 2024. WISE is CORE 2023 Rank B.
    
    Paper Available
    
    

93. Haldar, S., Bewong, M., Mahboubi, A., Jiang, Y., Islam, M. R., Islam, M. Z., Ip, R., Ahmed, M. E., Ramachandran, G. S., Babar, A. (2024): Malicious Package Detection using Metadata Information, International World Wide Web Conference (The Web Conference), pg. 1779-1789, 13 May - 17 May, 2024, Singapore, DOI: https://doi.org/10.1145/3589334.364554. The Web Conference is CORE 2023 Rank A*.
    
    Paper Available
    
    

94. Thedchanamoorthy, G., Bewong, M., Mohammady, M., Zia, T. and Islam, M. Z. (2024): Optimization of UD-LDP with statistical prior knowledge, 7th International Workshop on Security, Privacy and Trust in the Internet of Things (SPT-IoT), In Proc. of the IEEE International Conference on Pervasive Computing and Communication (IEEE PerCom), pg. 25-30, 11 March - 15 March 2024, Biarritz, France, DOI: 10.1109/PerComWorkshops59983.2024.10502758. IEEE PerCom is CORE 2023 Rank A*.
    
    Paper Available
    
    Pre-print Available
    
    
    

95. Naqvi, N., Rehman, S. U. and Islam, M. Z. (2022): WinDrift: Early Detection of Concept Drift using Corresponding and Hierarchical Time Windows, In Proc. of the 20th Australasian Data Mining Conference 2022 (AusDM 2022), Sydney, Australia, 12 December - 16 December, 2022, pg. 73 - 89, ISSN 1865-0929, ISBN 978-981-19-8745-8, DOI: https://doi.org/10.1007/978-981-19-8746-5. CORE 2021 Rank Australasian B.
    
    Code Available
    
    Paper Available
    
    

96. Grant, P., and Islam, M. Z. (2022): Signal Classification using Smooth Coefficients of Multiple Wavelets to Achieve High Accuracy from Compressed Representation of Signal, In Proc. of the 18th International Conference on Advanced Data Mining and Applications (ADMA 2022), Brisbane, Australia, 30 November - 2 December, 2022. Lecture Notes in Computer Science, pp 173 - 186, Vol 13726. Springer, Cham. Chen, W., Yao, L., Cai, T., Pan, S., Shen, T., Li, X. (eds). Print ISBN 978-3-031-22136-1. Online ISBN 978-3-031-22137-8. DOI: https://doi.org/10.1007/978-3-031-22137-8_13. CORE 2021 Rank B.
    
    Paper Available
    
    

97. Heiyanthuduwage, S. R., Rahman, M. A., and Islam, M. Z. (2022): Enhancing Cluster Quality of Numerical Datasets with Domain Ontology, In Proc. of the 9th IEEE Asia-Pacific Conference on Computer Science and Data Engineering 2022 (IEEE CSDE 2022), Gold Coast, Australia, 18 - 20 December, 2022. pg. 1-6, DOI 10.1109/CSDE56538.2022.10089260.
    
    Pre-print Available
    
    Paper Available
    
    

98. Alsinglawi, B., Zheng, L., Kabir, M. A., Islam, M. Z., Swain, D. and Swain, W. (2022): Internet of Things and Microservices in Supply Chain: Cybersecurity Challenges, and Research Opportunities, the 5-th International Workshop on Internet of Everything and Machine Learning Applications (IOEMLA-2022), In Proc. of the 36-th International Conference on Advanced Information Networking and Applications (AINA-2022), Barolli, L., Hussain, F. & Enokido, T. (eds.), Lecture Notes in Networks and Systems, Vol. 451, pg. 556-566. Sydney, Australia, April 13-15. DOI: 10.1007/978-3-030-99619-2_52. January, 2022. CORE 2021 Rank B.
    
    Paper Available
    
    
    
    

99. Newell, J., Mamun, Q., Rehman, S. and Islam, M. Z. (2022): Proof-of-Enough-Work Consensus Algorithm for Enhanced Transaction Processing in Blockchain, In Proc. of the IEEE Wireless Communications and Networking Conference 2022 (IEEE WCNC 2022), Austin, TX, USA, April 10-13, pp. 1188-1193, DOI: 10.1109/WCNC51071.2022.9771549 CORE 2021 Rank B.
    
    Paper Online
    
    
    
    

100. Yates, D., Islam, M. Z., Zhao, Y., Nayak, R., Estivill-Castro, V., and Kanhere, S. (2021): PostMatch: a Framework for Efficient Address Matching, In Proc. of the 19th Australasian Data Mining Conference 2021 (AusDM 2021), Brisbane, Australia, December 13-15, 2021, Accepted on 5 October 2021. CORE 2020 Rank Australasian B.
     
     
     
     

101. Beg, A. H., Islam, M. Z., and Estivill-Castro, V. (2020): HeMI++: A Genetic Algorithm based Clustering Technique for Sensible Clusters, In Proc. of the IEEE Congress on Evolutionary Computation (IEEE CEC 2020), Glasgow, UK, July 19-24, 2020, DOI: 10.1109/CEC48606.2020.9185882. CORE 2018 Rank B.
     
     Paper Online
     
     
     
     

102. Yates, D., and Islam, M. Z. (2019): Readiness of Smartphones for Data Collection and Data Mining with an Example Application in Mental Health, In Proc. of the 17th Australasian Data Mining Conference (AusDM 2019), Adelaide, Australia, December 2-5, 2019, Le T. et al. (eds) Data Mining, AusDM 2019, Communication in Computer and Information Science, Vol. 1127, pg. 235-246, Springer, Singapore. ERA 2010 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     Full Paper Available
     
     A Short YouTube Video
     
     

103. Bartlett, S., and Islam, M. Z. (2019): Improving Clustering via a Fine-Grained Parallel Genetic Algorithm with Information Sharing, In Proc. of the 17th Australasian Data Mining Conference (AusDM 2019), Adelaide, Australia, December 2-5, 2019, Le T. et al. (eds) Data Mining, AusDM 2019, Communication in Computer and Information Science, Vol. 1127, pg. 3-15, Springer, Singapore. ERA 2010 Rank B.
     
     With my Honors student during his Honors study.
     
     Pre-print Available
     
     Full Paper Available
     
     

104. Yates, D., Islam, M. Z., and Gao, J. (2019): DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets, In Proc. of the 15th International Conference on Advanced Data Mining and Applications (ADMA 2019), pg. 828-838, J. Li et al. (Eds.): ADMA 2019, LNAI 11888, Dalian, China, 21 - 23 November, 2019. CORE 2018 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     A Short Video Available on the App
     
     App Available at Google Play
     
     Source Code Available at GitHub
     
     DOI: https://doi.org/10.1007/978-3-030-35231-8_61
     
     
     
     

105. Grant, P., and Islam, M. Z. (2019): A Novel Approach for Noisy Signal Classification through the use of Multiple Wavelets and Ensembles of Classifiers, In Proc. of the 15th International Conference on Advanced Data Mining and Applications (ADMA 2019), pg. 195-203, J. Li et al. (Eds.): ADMA 2019, LNAI 11888, Dalian, China, 21 - 23 November, 2019. CORE 2018 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     DOI: https://doi.org/10.1007/978-3-030-35231-8_14
     
     

106. Grant, P., and Islam, M. Z. (2019): Clustering Noisy Temporal Data, In Proc. of the 15th International Conference on Advanced Data Mining and Applications (ADMA 2019), pg. 185-194, J. Li et al. (Eds.): ADMA 2019, LNAI 11888, Dalian, China, 21 - 23 November, 2019. CORE 2018 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     DOI: https://doi.org/10.1007/978-3-030-35231-8_13
     
     

107. Costadopoulos, N., Islam, M. Z., and Tien, D. (2019): Using Z-score to Extract Human Readable Logic Rules from Physiological Data, In Proc. of the 11th IEEE International Conference on Knowledge and Systems Engineering (KSE) 2019, , pg.1-6, ISSN: 2164-2508, Da Nang, Vietnam, October 24-26, 2019, DOI: 10.1109/KSE.2019.8919473 .
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

108. Costadopoulos, N., Islam, M. Z., and Tien, D. (2019): Discovering Emotional Logic Rules from Physiological Data of Individuals, In Proc. of the 18th International Conference on Machine Learning and Cybernetics (ICMLC) 2019, Kobe, Japan, July 7-10, 2019, pp. 468--474.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

109. Costadopoulos, N., Islam, M. Z., and Tien, D. (2019): Data Mining and Knowledge Discovery from Physiological Sensors, Workshop on Robotic Sensing in Human-Robot Interaction (RoboSense), In Proc. of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2019), ISBN 978-1-4503-6232-0, Rhodes, Greece, June 5-7, 2019, pg. 468 - 474, Vol. 7, doi: 10.1145/3316782.3322771
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

110. Reza, K. J., Islam, M. Z., and Estivill-Castro, V. (2019): Privacy Preservation of Social Network Users against Attribute Inference Attacks via Malicious Data Mining, In Proc. of the 5th International Conference on Information Systems Security and Privacy (ICISSP 2019), Prague, Czech Republic, February 23-25, 2019, Paper available pg. 412 - 420, DOI: 10.5220/0007390404120420.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

111. Yates, D., Islam, M. Z., and Gao, J. (2018): SPAARC: A Fast Decision Tree Algorithm, In Proc. of the 16th Australasian Data Mining Conference (AusDM 2018), Bathurst, Australia, November 28-30, 2018, Paper Available Data Mining, Editors: Islam, R., Koh, Y.S., Zhao, Y., Warwock, G., Stirling, D., Li, C-T., and Islam, Z., pp. 43-55, ISBN 978-981-13-6661-1. ERA 2010 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

112. Yates, D., Islam, M. Z., and Gao, J. (2018): Implementation and Performance Analysis of Data Mining Classification Algorithms on Smartphones, In Proc. of the 16th Australasian Data Mining Conference (AusDM 2018), Bathurst, Australia, November 28-30, 2018, Paper Available Data Mining, Editors: Islam, R., Koh, Y.S., Zhao, Y., Warwock, G., Stirling, D., Li, C-T., and Islam, Z., pp. 331-343, ISBN 978-981-13-6661-1. ERA 2010 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

113. Adnan, M. N., Islam, M. Z., and Akbar, M. M. (2018): On Improving the Prediction Accuracy of a Decision Tree using Genetic Algorithm, In Proc. of the 14th International Conference on Advanced Data Mining and Applications (ADMA 2018), Nanjing, China, November 16-18, 2018, Paper Available pp. 80 - 94, Editors: Gan, G., Li, B., Li, X., and Wang, S., LNAI 11323, ISBN 978-3-030-05089-4, CORE 2018 Rank B.
     
     Pre-print Available
     
     

114. Reza, K. J., Islam, M. Z., and Estivill-Castro, V. (2017): Social Media Users' Privacy Against Malicious Data Miners, In Proc. of the 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2017), Nanjing, Jiangsu, China, November 24-26, 2017, DOI: 10.1109/ISKE.2017.8258834, Electronic ISBN: 978-1-5386-1829-5. CORE 2017 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

115. Adnan, M. N., and Islam, M. Z. (2017): Effects of Dynamic Subspacing in Random Forest, In Proc. of the 13th Advanced Data Mining and Applications (ADMA 2017), Singapore, November 5-6, 2017, Lecture Notes in Artificial Intelligence, Vol. 10604, ISSN 0302-9743, pg. 303-312, https://doi.org/10.1007/978-3-319-69179-4. CORE 2017 Rank B.
     
     Pre-print Available
     
     

116. Siddiqui, M. K., Islam, M. Z. and Kabir, A. (2017): Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure, In Proc. of the 13th Advanced Data Mining and Applications (ADMA 2017), Singapore, November 5-6, 2017, Lecture Notes in Artificial Intelligence, Vol. 10604, ISSN 0302-9743, pg. 386-398, https://doi.org/10.1007/978-3-319-69179-4. CORE 2017 Rank B.
     
     With my PhD student during his PhD studies.
     
     

117. Babar, Z., Islam, M. Z., and Mansha, S. (2017): Rank Forest: Systematic Attribute Sub-spacing in Decision Forest, In Proc. of the 15th Australasian Data Mining Conference (AusDM 2017), Melbourne, Australia, August 19-20, 2017, Communications in Computer and Information Science, Springer, Vol. 845, pg. 24-37. ISBN 978-981-13-0291-6, DOI https://doi.org/10.1007/978-981-13-0292-3_2 ERA 2010 Rank B, CORE 2017 Rank Australasian.
     
     Pre-print Available
     
     

118. Reza, K., Islam, M. Z., and Estivill-Castro, V. (2017): 3LP: Three Layers of Protection for Individual Privacy in Facebook, In Proc. of the 32nd International Conference on ICT Systems Security and Privacy Protection (IFIP SEC 2017), Rome, Italy, May 29-31, 2017, pp. 108-123, DOI: 10.1007/978-3-319-58469-0_8. CORE 2017 Rank B. Conference Link. Acceptance rate 19.39% (38 papers from 196 submissions).
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

119. Islam, M. Z., Furner, M., and Siers, M. (2016): WaterDM: A Knowledge Discovery and Decision Support Tool for Efficient Dam Management, In Proc. of the 14th Australasian Data Mining Conference (AusDM), Canberra, Australia, December 6 - 8, 2016, Conferences in Research and Practice in Information Technology (CRPIT), pp. 199 - 204, Vol. 170, ISBN 978-1-921770-50-0, ISSN 1445-1336. ERA 2010 Rank B.
     
     Pre-print Available
     
     YouTube Video Available
     
     

120. Fletcher, S. and Islam, M. Z. (2016): Measuring the Similarity between Rule Lists, In Proc. of the 14th Australasian Data Mining Conference (AusDM), Canberra, Australia, December 6 - 8, 2016, Conferences in Research and Practice in Information Technology (CRPIT), pp. 171 - 178, Vol. 170, ISBN 978-1-921770-50-0, ISSN 1445-1336. ERA 2010 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

121. Adnan, M. N. and Islam, M. Z. (2016): Knowledge Discovery from a Data Set on Dementia through Decision Forest, In Proc. of the 14th Australasian Data Mining Conference (AusDM), Canberra, Australia, December 6 - 8, 2016, Conferences in Research and Practice in Information Technology (CRPIT), pp. 111 - 118, Vol. 170, ISBN 978-1-921770-50-0, ISSN 1445-1336. ERA 2010 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

122. Siers, M. and Islam, M. Z. (2016): Addressing Class Imbalance and Cost Sensitivity in Software Defect Prediction by Combining Domain Costs and Balancing Costs, In Proc. of the 12th International Conference on Advanced Data Mining and Applications (ADMA), Gold Coast, Australia, December 12 - 15, 2016, Lecture Notes in Artificial Intelligence (LNAI), pp. 156-171, Vol. 10086, ISBN 978-3-319-49586-6, DOI: 10.1007/978-3-319-49586-6. ERA 2010 Rank B, CORE 2014 Rank B.
     
     Published as a Spotlight Research Paper, where only 18 (17%) out of 105 submitted papers were accepted as spotlight research papers.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

123. Adnan, M. N. and Islam, M. Z. (2016): On Improving Random Forest for Hard-to-Classify Records, In Proc. of the 12th International Conference on Advanced Data Mining and Applications (ADMA), Gold Coast, Australia, December 12 - 15, 2016, Lecture Notes in Artificial Intelligence (LNAI), pp. 558-566, Vol. 10086, ISBN 978-3-319-49586-6, DOI: 10.1007/978-3-319-49586-6. ERA 2010 Rank B, CORE 2014 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

124. Siddiqui, M. K. and Islam, M. Z. (2016): Data Mining Approach in Seizure Detection, In Proc. of the IEEE TENCON 2016, Singapore, November 22 - 25, 2016, pg. 3579 - 3583, DOI: 10.1109/TENCON.2016.7848724, Electronic ISBN: 2159-3450. ERA 2010 Rank C.
     
     With my PhD student during his PhD studies.
     
     

125. Beg, A. H. and Islam, M. Z. (2016): A Novel Genetic Algorithm-Based Clustering Technique and its Suitability for Knowledge Discovery from a Brain Dataset, In Proc. of the IEEE Congress on Evolutionary Computation (IEEE CEC 2016), Vancouver, Canada, July 24 - 29, 2016, pp. 948- 956. DOI: 10.1109/CEC.2016.7743892, available here ERA 2010 Rank A, CORE 2014 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     YouTube Video Available
     
     

126. Beg, A. H. and Islam, M. Z. (2016): Novel Crossover and Mutation Operation in Genetic Algorithm for Clustering, In Proc. of the IEEE Congress on Evolutionary Computation (IEEE CEC 2016), Vancouver, Canada, July 24 - 29, 2016, pp. 2114- 2121. DOI: 10.1109/CEC.2016.7744049, Available here ERA 2010 Rank A, CORE 2014 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     YouTube Video Available
     
     

127. Adnan, M. N. and Islam, M. Z. (2016): Forest CERN: A New Decision Forest Building Technique, In Proc. of the 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2016, April 19-22, pp. 304 - 315, Part I, LNAI 9651, DOI: 10.1007/978-3-319-31753-3 25, ISBN 978-3-319-31752-6, Auckland, New Zealand.
     (ERA 2010 Rank A, CORE 2014 Rank A)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     YouTube Video Available
     
     

128. Beg, A. H. and Islam, M. Z. (2016): Branches of Evolutionary Algorithms and their Effectiveness for Clustering Records, In Proc. of the 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016), Hefei, China, June 5 - 7, 2016. Electronic ISSN: 2158-2297, DOI: 10.1109/ICIEA.2016.7604010
     ERA 2010 Rank A.
     
     Pre-print Available
     
     

129. Beg, A. H. and Islam, M. Z. (2016): Advantages and Limitations of Genetic Algorithms for Clustering Records, In Proc. of the 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016), Hefei, China, June 5 - 7, 2016. Electronic ISSN: 2158-2297, DOI: 10.1109/ICIEA.2016.7604009
     ERA 2010 Rank A.
     
     Pre-print Available
     
     

130. Siers, M. and Islam, M. Z. (2016): RB Clust: High quality class-specific clustering using rule-based classification, In Proc. of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), Bruges, Belgium, April 27 - 29, 2016, pg. 593 - 598. ERA 2010 Rank B, CORE 2014 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

131. Beg, A. H. and Islam, M. Z. (2016): Genetic Algorithm with Novel Crossover, Selection and Health Check for Clustering, In Proc. of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), Bruges, Belgium, April 27 - 29, 2016, pg. 575 - 580. ERA 2010 Rank B, CORE 2014 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

132. Fletcher, S. and Islam, M. Z. (2015): A Differentially-Private Random Decision Forest using Reliable Signal-to-Noise Ratios, In Proc. of the 28th Australasian Joint Conference on Artificial Intelligence (AI 2015), Canberra, Australia, 30 November - 4 December, 2015, Lecture Notes in Computer Science (LNCS), pp. 192-203, Vol. 9457, ISBN 978-3-319-26350-2, DOI: 10.1007/978-3-319-26350-2_17, ERA 2010 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

133. Siers, M. and Islam, M. Z. (2015): Standoff-Balancing: A Novel Class Imbalance Treatment Method Inspired by Military Strategy, In Proc. of the 28th Australasian Joint Conference on Artificial Intelligence (AI 2015), Canberra, Australia, 30 November - 4 December, 2015, Lecture Notes in Computer Science (LNCS), pp. 517 - 525, Vol. 9457, ISBN 978-3-319-26350-2, DOI: 10.1007/978-3-319-26350-2_46, ERA 2010 Rank B.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     YouTube Video on the Paper
     
     

134. Fletcher, S. and Islam, M. Z. (2015): A Differentially Private Decision Forest, In Proc. of the 13th Australasian Data Mining Conference (AusDM 15), Sydney, Australia, 8- 9 August, 2015. CRPIT Vol. 168, pp. 99- 108, ISBN 978-1-921770-18-0.
     ERA 2010 Rank B
     
     ( The paper is available here.)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

135. Adnan, M. N. and Islam, M. Z. (2015): Complement Random Forest, In Proc. of the 13th Australasian Data Mining Conference (AusDM 15), Sydney, Australia, 8- 9 August, 2015. CRPIT Vol. 168, pp. 89- 98, ISBN 978-1-921770-18-0.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

136. Furner, M. and Islam, M. Z. (2015): Multiple Imputation on Partitioned Datasets, In Proc. of the 13th Australasian Data Mining Conference (AusDM 15), Sydney, Australia, 8- 9 August, 2015. CRPIT Vol. 168, pp. 59- 68, ISBN 978-1-921770-18-0.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     With my Honours student based on his Honours studies.
     
     Pre-print Available
     
     

137. Rahman, M. A. and Islam, M. Z. (2015): AWST: A Novel Attribute Weight Selection Technique for Data Clustering, In Proc. of the 13th Australasian Data Mining Conference (AusDM 15), Sydney, Australia, 8- 9 August, 2015. CRPIT Vol. 168, pp. 51- 58, ISBN 978-1-921770-18-0.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     With my PhD student based on his PhD studies.
     
     Pre-print Available
     
     

138. Beg, A. H., and Islam, M. Z. (2015): Clustering by Genetic Algorithm - High Quality Chromosome Selection for Initial Population, In Proc. of the 10th IEEE Conference on Industrial Electronics and Applications (ICIEA 2015), Auckland, New Zealand, 15 -17 June, 2015, pg. 129 - 134. (ERA 2010 Rank A).
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

139. Adnan, M., and Islam, M. Z. (2015): One Vs All Binarization Technique in the Context of Random Forest, In Proc. of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), pp. 385 - 390, Bruges, Belgium, April 22 - 24, 2015 (CORE 2014 Rank B).
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

140. Adnan, M., and Islam, M. Z. (2015): Improving the Random Forest Algorithm by Randomly Varying the Size of the Bootstrap Samples for Low Dimensional Data Sets, In Proc. of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), pp. 391 - 396, Bruges, Belgium, April 22 - 24, 2015 (CORE 2014 Rank B).
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

141. Akhter, A., Bernoth, M., Burmeister, O., Ee Von, C., Dionigi, R., Dresser, G., Evans-Barr, G., Islam, M. Z., Morrison, M., & Robergs, R. (2015): Social and community links: Drivers of healthy and active ageing, In Proc. of the Regional Studies Association 2015 (RSA 2015), pp. 1 - 7.
     
     Paper Available
     
     

142. Adnan, M., and Islam, M. Z. (2014): A Comprehensive Method for Attribute Space Extension for Random Forest, In Proc. of the 17th International Conference on Computer and Information Technology (ICCIT 14), pp. 25-29, 22-23 December, Dhaka, Bangladesh. (ERA 2010 Rank C).
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

143. Burmeister, O., Islam, M. Z., Dayhew, M., Crichton, M. (2014): Interagency Communication of Private Mental Health Data, In Proc. of the 25th Australasian Conference on Information Systems (ACIS 2014), Auckland, New Zealand, 8-10 December, 2014. (ERA 2010 Rank A, CORE 2014 Rank Australasian)
     Conference Link
     Paper available here
     Received Best Paper Award
     
     
     Pre-print Available
     
     

144. Islam, M. Z., Mamun, Q., and Rahman, M. G. (2014): Data Cleansing During Data Collection from Wireless Sensor Networks, In Proc. of the 12th Australasian Data Mining Conference (AusDM 2014), Brisbane, Australia, 27-28 November, 2014. CRPIT, Vol. 158, pp. 195- 203, ISBN 978-1-921770-17-3.
     (ERA 2010 Rank B, CORE 2014 Rank Australasian)
     
     ( The paper is available here.)
     
     Pre-print Available
     
     

145. Adnan, M., and Islam, M. Z. (2014): ComboSplit: Combining Various Splitting Criteria for Building a Single Decision Tree, In Proc. of the International Conference on Artificial Intelligence and Pattern Recognition (AIPR 2014), Kuala Lumpur, Malaysia, 17-19 November, 2014, pp 1-8, ISBN 978-1-941968-02-4.(CORE 2014 Rank C) Conference Link
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

146. Xiang, Z., and Islam, M. Z. (2014): Hartigan's Method for K-Mode Clustering and its Advantages, In Proc. of the 12th Australasian Data Mining Conference (AusDM 2014), Brisbane, Australia, 27-28 November, 2014. CRPIT, Vol. 158, pp. 25- 30, ISBN 978-1-921770-17-3.
     (ERA 2010 Rank B, CORE 2014 Rank Australasian)
     
     ( The paper is available here.)
     
     Pre-print Available
     
     

147. Siers, M., and Islam, M. Z. (2014): Cost Sensitive Decision Forest and Voting for Software Defect Prediction, In Proc. of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014), pp. 929 - 936, LNAI 8862, Gold Coast, Australia, 1-5 December, 2014. (CORE 2014 Rank B) Conference Link
     
     With my Honours student during his Honours studies.
     
     Pre-print Available
     
     

148. Xiang, Z., and Islam, M. Z. (2014): The Performance of Objective Functions for Clustering Categorical Data, In Proc. of the 2014 Pacific Rim Knowledge Acquisition Workshop (PKAW 2014), pp. 16 - 28, LNCS 8863, DOI: 10.1007/978-3-319-13332-4_2, ISBN 978-3-319-13331-7, Gold Coast, Australia, 1- 2 December, 2014.(CORE 2014 Rank B) Conference Link
     
     Pre-print Available
     
     

149. Estivill-Castro, V., Hough, P., and Islam, M. Z. (2014): Empowering Users of Social Networks to Assess Their Privacy Risks, In Proc. of the IEEE International Conference on Big Data (IEEE BigData 2014), Washington DC, USA, 27-30 October 2014, pg. 644-649, ISBN 978-1-4799-5666-1 and ISBN 978-1-4799-5665-4. Conference Link
     
     With my Honours student and a colleague. Author names are in alphabetic order.
     
     Available here.
     
     

150. Fletcher, S., and Islam, M. Z. (2014): Quality Evaluation of an Anonymized Dataset, In Proc. of the 22nd International Conference on Pattern Recognition (ICPR 2014), pg. 3594-3599, DOI 10.1109/ICPR.2014.618, Stockholm, Sweden, 24-28 August 2014. (ERA 2010 Rank B, CORE 2014 Rank B)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

151. Adnan, M., Islam, M. Z., and Kwan, P. (2014): Extended Space Decision Tree, In Proc. of the 13th International Conference on Machine Learning and Cybernetics (ICMLC 2014), pp. 219 - 230, DOI: 10.1007/978-3-662-45652-1_23, Lanzhou, China, 13-16 July, 2014. (Best Paper Award Nomination)(ERA 2010 Rank C)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

152. Rahman, M. G., and Islam, M. Z. (2014): iDMI: A Novel Technique for Missing Value Imputation using a Decision Tree and Expectation-Maximization Algorithm, In Proc. of the 16th International Conference on Computer and Information Technology (ICCIT 14), Khulna, Bangladesh, pp. 496-501, 08-10 March 2014.(CORE 2014 Rank C)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

153. Rahman, M. A., Islam, M. Z. and Bossomaier, T. (2014): DenClust: A Density Based Seed Selection Approach for K-Means, In Proc. of the 13th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2014), pg. 784-795, Part II, Lecture Notes in Computer Science, Vol. 8468, Springer International Publishing Switzerland, L. Rutkowski et al. Eds., Zakopane, Poland, 1-5 June 2014. (Available from http://link.springer.com/chapter/10.1007%2F978-3-319-07176-3_68)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

154. Rahman, M. G., and Islam, M. Z. (2013): kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set, In Proc. of the 9th International Conference on Advanced Data Mining and Applications(ADMA 13), Hangzhou, China, 14-16 December 2013, pg. 250-263, DOI: 10.1007/978-3-642-53917-6, ISSN: 0302-9743, H. Motoda et al. (Eds.). (ERA 2010 Rank B)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

155. Rahman, M. G., and Islam, M. Z. (2013): A Novel Framework Using Two Layers of Missing Value Imputation, In Proc. of the 11th Australasian Data Mining Conference (AusDM 13), Canberra, Australia, 13-15 November 2013. CRPIT, Vol. 146, pp. 149- 160. ISBN 978-1-921770-16-6.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     With my PhD student during his PhD studies.
     
     Received Best Paper Award
     
     Pre-print Available
     
     

156. Rahman, M. G., and Islam, M. Z. (2013): Data Quality Improvement by Imputation of Missing Values, In Proc. of the 2013 International Conference on Computer Science and Information Technology, Yogyakarta, Indonesia, 16 - 18 June, 2013, pg. 82-88, ISBN: 978-979-3812-20-5.
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

157. Rahman, M. A., and Islam, M. Z. (2012): CRUDAW: A Novel Fuzzy Technique for Clustering Records Following User Defined Attribute Weights, In Proc. of the 10th Australasian Data Mining Conference (AusDM 12), Sydney, Australia. December 4 - 7, 2012, CRPIT, Vol. 134, Zhao, Y., Li, J., Kennedy, P., and Christen, P. Eds., ACS, pg. 27 - 42.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

158. Khan, M. A., Islam, M. Z., and Hafeez, M. (2012): Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement, In Proc. of the 10th Australasian Data Mining Conference (AusDM 12), Sydney, Australia. December 4 - 7, 2012, CRPIT, Vol. 134, Zhao, Y., Li, J., Kennedy, P., and Christen, P. Eds., ACS, pg. 199 - 208.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     With a PhD student, who I co-supervised, during his PhD studies.
     
     Pre-print Available
     
     

159. Bossomaier, T., Islam, M. Z., Duncan, R., and Gao, J. (2012): Simulation of House Prices for Improved Land Valuation, In Proc. of the 11th International Conference on Modeling and Applied Simulation, MAS 2012, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2012, Vienna, Austria, September 19 - 21, 2012, pp. 86-93, DIME University of Genoa, ISBN/ISSN 978-88-97999-01-0.
     
     Pre-print Available
     
     

160. Rahman, M. G., Islam, M. Z., Bossomaier, T., and Gao, J. (2012): CAIRAD: A Co-appearance based Analysis for Incorrect Records and Attribute-values Detection, In Proc. of IEEE International Joint Conference on Neural Networks (IJCNN 12), Brisbane, Australia. June 10 - June 15, 2012, pg. 2190-2199.(ERA 2010 Rank A)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     YouTube Video on the Paper is Available
     
     YouTube Video on the Freely Available Software Tool for CAIRAD
     
     

161. Islam, M. Z. and Giggins, H. (2011): Knowledge Discovery through SysFor: A Systematically Developed Forest of Multiple Decision Trees, In Proc. of the Ninth Australasian Data Mining Conference (AusDM 11), Ballarat, Australia. December 01 - December 02, 2011. CRPIT, 121. Vamplew, P., Stranieri, A., Ong, K.-L., Christen, P. and Kennedy, P. J. Eds., ACS. 195-204.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     Pre-print Available
     
     YouTube Video Available
     
     YouTube Video on Freely Available Software for this Paper
     
     

162. Rahman, M. G. and Islam, M. Z. (2011): A Decision Tree-based Missing Value Imputation Technique for Data Pre-processing, In Proc. of the Ninth Australasian Data Mining Conference (AusDM 11), Ballarat, Australia. December 01 - December 02, 2011, CRPIT, 121. Vamplew, P., Stranieri, A., Ong, K.-L., Christen, P. and Kennedy, P. J. Eds., ACS. 41-50.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     YouTube video on Freely Available Software
     
     

163. Rahman, M. A. and Islam, M. Z. (2011): Seed-Detective: A Novel Clustering Technique Using High Quality Seed for K-Means on Categorical and Numerical Attributes, In Proc. of the Ninth Australasian Data Mining Conference (AusDM 11), Ballarat, Australia. December 01 - December 02, 2011, CRPIT, 121. Vamplew, P., Stranieri, A., Ong, K.-L., Christen, P. and Kennedy, P. J. Eds., ACS. 211-220.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     With my PhD student during his PhD studies.
     
     Pre-print Available
     
     

164. Khan, M. A., Islam, M. Z., and Hafeez, M. (2011): Irrigation Water Demand Forecasting - A Data Pre-processing and Data Mining Approach Based on Spatiotemporal Data, In Proc. of the Ninth Australasian Data Mining Conference (AusDM 11), Ballarat, Australia. December 01 - December 02, 2011, CRPIT, 121. Vamplew, P., Stranieri, A., Ong, K.-L., Christen, P. and Kennedy, P. J. Eds., ACS. 183-194.
     ERA 2010 Rank B.
     
     ( The paper is available here.)
     
     ( the Best Student Paper Award )
     
     With a PhD student, who I co-supervised, during his PhD studies.
     
     Pre-print Available
     
     

165. Islam, M. Z. (2010): EXPLORE: A Novel Decision Tree Classification Algorithm, In Proc. of the 27th British National Conference on Databases (BNCOD 2010), LNCS Vol. 6121, Data Security and Security Data, Springer, Berlin/Heidelberg (2012), L.M. MacKinnon (Ed.) ISBN 978-3-642-25703-2, June 29- July 01, 2010, Dundee, Scotland. L.M. MacKinnon (Ed.) 55-71. (ERA 2010 Rank B)
     
     Pre-print Available
     
     YouTube Video Available
     
     

166. Zia, T.A., and Islam, M. Z. (2010): Communal Reputation and Individual Trust (CRIT) in Wireless Sensor Networks, In Proc. of the 5th International Conference on Availability, Reliability and Security (ARES 2010), Published by IEEE Computer Society, February 15-18, 2010, Krakow, Poland, 347-352. (ERA 2010 Rank B)
     
     Pre-print Available
     
     

167. Islam, M. Z. and Brankovic, L (2005): DETECTIVE: A Decision Tree Based Categorical Value Clustering and Perturbation Technique in Privacy Preserving Data Mining, In Proc. of the 3rd IEEE International Conference on Industrial Informatics (INDIN 2005), pg. 701 - 708, 10-12 August, Perth, Australia.
     With my respected PhD supervisor.
     
     Pre-print Available
     
     

168. Alfalayleh, M., Brankovic, L., Giggins, H and Islam, M. Z. (2004): Towards the Graceful Tree Conjecture: A Survey, In Proc. of AWOCA 2004, 7-9 July, Ballina, Australia. (ERA 2010 Rank B)
     
     Author names are in alphabetic order.
     
     Pre-print Available
     
     

169. Islam, M. Z. and Brankovic, L. (2004): A Framework for Privacy Preserving Classification in Data Mining,In Proc. of Australasian Workshop on Data Mining and Web Intelligence (DMWI 2004), Dunedin, New Zealand, CRPIT, 32, Purvis, M., Ed. ACS, 163-168.
     With my respected PhD supervisor.
     
     Pre-print Available
     
     

170. Islam, M. Z., Barnaghi, P. M. and Brankovic, L.(2003): Measuring Data Quality: Predictive Accuracy vs.Similarity of Decision Trees, In Proceedings of the 6 th International Conferenceon Computer & Information Technology (ICCIT 2003), Dhaka, Bangladesh, Vol. 2, 457-462. (ERA 2010 Rank C)
     
     The Paper is Available
     
     With my respected PhD supervisor.
     
     

171. Islam, M. Z. and Brankovic, L. (2003): Noise Addition for Protecting Privacy in Data Mining, In Proceedings of the 6 th Engineering Mathematics and Applications Conference (EMAC 2003), Sydney, Australia, 85-90 .
     With my respected PhD supervisor.
     
     Pre-print Available
     
     

Some Edited Books:

172. Islam, M. R., Koh, Y. S., Zhao, Y., Warwick, G., Stirling, D., Li, C-T., and Islam, M. Z. (2018): Data Mining, Proceedings of the Sixteenth Australasian Data Mining Conference (AusDM 2018), Bathurst, NSW, Australia, 28-30, November 2018, Springer, ISSN 1865-0929, DOI: https://doi.org/10.1007/978-981-13-6661-1.
     
     

173. Zhao, Y., Islam, M. Z., Stone, G., Ong, K-L., Sharma, D., and Williams, G. (2016): Data Mining and Analytics 2016, Proceedings of the Fourteenth Australasian Data Mining Conference (AusDM 2016), Canberra, Australia, 6-8, December 2016, Conferences in Research and Practice in Information Technology (CRPIT), Volume 170, Australian Computer Society Inc. ACM Digital Library, ISSN 1445-1336, ISBN 978-1-921770-50-0. Full Proceedings .
     
     

174. Ong, K-L., Zhao, Y., Stone, G., and Islam, M. Z. (2015): Data Mining and Analytics 2015, Proceedings of the Thirteenth Australasian Data Mining Conference (AusDM 2015), Sydney, Australia, 8-9 August 2015, Conferences in Research and Practice in Information Technology (CRPIT), Vol. 168, Australian Computer Society Inc. Australia, ACM Digital Library, ISSN 1445-1336, ISBN 978-1-921770-18-0.
     
     

Some Editorial Articles/Reports:

168. Yates, D. (author), Clarks, A. (author), Blanchard, C. (contributor), Islam, Z. (contributor), Rehman, S. (contributor) (2024): Enhancing Provenance and Prediction for Whole Grain Rice Quality. Food Agility CRC, Sydney, NSW Australia.
     
     ISBN: 978-0-6486338-5-3
     
     Full Report .
     
     

169. Bewong, M., Ho Leung Ip, R., Lewis, C., Krivokapic-Skoko, B., Islam, Z., Al-Saggaf, Y., Medway, J., Ali, B., & Dixon, E. (2023): Potential implications and benefits for the agricultural technology sector from the introduction of the Australian Agricultural Data Exchange. Food Agility CRC, Sydney, NSW Australia.
     
     eBook ISBN: 978-0-6454652-7-3
     
     Full Report .
     
     

170. Brown, K., Schirmer, J., Amorsen, G., & Kerkhoff, L. V. et al. (2023). Sharing early insights for more resilient communities: Stage 1 report. Southern NSW Drought Resilience Adoption and Innovation Hub/CSU.
     
     Full Report .
     
     

171. Birch, P., Islam, M.Z., Rahman, M. G., and Sicard, L. (2021). Crime and Disorder Audit 2009-2019 � Wagga Wagga: Preliminary Report. 29 January 2021, Charles Sturt University. 35 p. Commisioning/Funding Body: NSW Police Force.
     
     

172. Birch, P., Islam, M.Z., Rahman, M. G., and Sicard, L. (2021). Crime and Disorder Audit 2009-2019, Wagga Wagga: Final Report. 31 March 2021, Charles Sturt University. 58 p. Commisioning/Funding Body: NSW Police Force.
     
     

173. Birch, P., Islam, M.Z., Rahman, M. G., and Sicard, L. (2021). Crime and Disorder Audit 2009-2019 � Wagga Wagga: Preliminary Report. 29 January 2021, Charles Sturt University. 35 p. Commisioning/Funding Body: NSW Police Force.
     
     

174. Iner, D., Asquith, N., Ip, R. H. L., Islam, M. Z., Mason, G., Vergani, M., & Zayied, I. (2019). Islamophobia in Australia - II (2016-2017). Sydney: Charles Sturt University, Commissioned Report. Available here
     
     Estimated potential reach: 725,911,569 excl. broadcasting; 728,705,996 incl. broadcasting
     *provided by the Meltwater Media monitoring service, derived from their algorithm calculation
     The Report and news release generated media attention that had an estimated potential audience of more than 750 million people worldwide in the first week of the release.
     
     Some of the more notable international outlets that covered the story and their estimated potential readership/viewers include Japan Today (1.2m), The Straits Times (2m), The New Indian Express (3.2m), Yahoo India News (1.3m), The Star Online (4.36m), and Times Now (13m).
     
     The report and/or the news release were covered by many agencies including

     • Online (405 results): news.com.au, ABC News, Sydney Morning Herald, SBS, Daily Telegraph, The Age, The Daily Mail, Yahoo7 and ACM

     • Broadcast (308 results): ABC State Radio, ABC National Radio, ABC Local Radio, ABC TV and

     • Print: The Sydney Morning Herald and Ballarat Courier.

We used, discussed and cited our Forest PA algorithm in the report for data analysis.

175. Islam, M. Z. (2018): Preface to the Data Mining, Proceedings of the Sixteenth Australasian Data Mining Conference (AusDM 2018), Bathurst, Australia, 28-30, November 2018, Springer, ISSN 1865-0929, DOI: https://doi.org/10.1007/978-981-13-6661-1.
     
     

176. Ong K-L, Islam M.Z., and Zhao Y. (2017): Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016. Australasian Journal of Information Systems (AJIS). Vol. 21, DOI: https://doi.org/10.3127/ajis.v21i0.1694
     
     

Please feel free to contact me if you are interested to have a look at any of my published papers.