Massey Business School staff

Dr Shafiq Alam staff profile picture

Contact details +6492136262

Dr Shafiq Alam BSc, MCompSci, MSc, PhD

Senior Lecturer

Doctoral Supervisor
School of Management

Shafiq's PhD thesis “Swarms, Clustering, and Recommender Systems” was awarded the Department’s Best Ph.D. thesis award for 2012-2013, focusing on data mining, recommender systems, and anomalies detection in web-based systems.

Dr Shafiq's current research areas include detecting Risks in Recommender systems, security of recommender systems, shilling and fraud detection in recommender systems, data mining, web usage mining, and big data.  He has published widely in international conferences and journals. He has also been on the program committee of highly ranked conferences, and runs workshop in a series that he has established in conjunction with the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), an A-ranked conference.

 Dr Shafiq Alam is a Senior Lecturer in Managment and Information at Massey University. He has obtained his PhD in Data analytics  from University of Auckland ( UOA) , New Zealand. Dr Shafiq's research areas focuses on data mining and analytics, with a particular focus on biologically inspired techniques for data mining. 

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Professional

Contact details

  • Location: 05, QA3
    Campus: Auckland

Qualifications

  • Bachelor of Science - Gomal University (2000)
  • Master of Computer Science - Qurtuba University (2003)
  • Master of Science - University of Peshawar (2007)
  • Doctor of Philosophy - University of Auckland (2012)

Certifications and Registrations

  • Licence, Supervisor, Massey University

Research Expertise

Research Interests

  • Decision support systems
  • Data mining and web mining
  • Analytics for Managers
  • Detecting risks in recommender systems
  • Security of recommender systems,
  • Shilling and fraud detection in recommender systems

Area of Expertise

Field of research codes
Artificial Intelligence and Image Processing (080100): Decision Support and Group Support Systems (080605): Expert Systems (080105): Information And Computing Sciences (080000): Information Systems (080600): Neural, Evolutionary and Fuzzy Computation (080108)

Research Projects

Summary of Research Projects

Position Current Completed
Project Leader 0 1

Research Outputs

Journal

Theunissen, FM., Bezuidenhout, CN., & Alam, S. (2024). Exploring the shortcomings in formal criteria selection for multicriteria decision making based inventory classification models: a systematic review and future directions. International Journal of Production Research.
[Journal article]Authored by: Alam, S.
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Alam, S., Ayub, MS., Arora, S., & Khan, MA. (2023). An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity. Decision Analytics Journal. 9
[Journal article]Authored by: Alam, S.
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1
Alam, S., Zhao, X., Niazi, IK., Ayub, MS., & Khan, MA. (2023). A comparative analysis of global optimization algorithms for surface electromyographic signal onset detection. Decision Analytics Journal. 8
[Journal article]Authored by: Alam, S.
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3
Wang, X., Wen, J., Alam, S., Jiang, Z., & Wu, Y. (2016). Semi-supervised learning combining transductive support vector machine with active learning. Neurocomputing. 173, 1288-1298
[Journal article]Authored by: Alam, S.
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25
Alam, S., Dobbie, G., & Rehman, SU. (2015). Analysis of particle swarm optimization based hierarchical data clustering approaches. Swarm and Evolutionary Computation. 25, 36-51
[Journal article]Authored by: Alam, S.
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Zhou, W., Wen, J., Koh, YS., Xiong, Q., Gao, M., Dobbie, G., . . . Alam, S. (2015). Shilling attacks detection in recommender systems based on target item analysis. PLoS ONE. 10(7)
[Journal article]Authored by: Alam, S.
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37
Alam, S., Dobbie, G., Koh, YS., & Riddle, P. (2014). Web usage mining based recommender systems using implicit heterogeneous data : A particle swarm optimization based clustering approach. Web Intelligence and Agent Systems. 12(4), 389-409
[Journal article]Authored by: Alam, S.
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2
Tsang, S., Koh, YS., Dobbie, G., & Alam, S. (2014). Detecting online auction shilling frauds using supervised learning. Expert Systems with Applications. 41(6), 3027-3040
[Journal article]Authored by: Alam, S.
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38
Alam, S., Dobbie, G., Koh, YS., Riddle, P., & Ur Rehman, S. (2014). Research on particle swarm optimization based clustering: A systematic review of literature and techniques. Swarm and Evolutionary Computation. 17, 1-13
[Journal article]Authored by: Alam, S.
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184
Wang, X., Wen, J., Alam, S., Gao, X., Jiang, Z., & Zeng, J. (2014). Sales growth rate forecasting using improved PSO and SVM. Mathematical Problems in Engineering. 2014
[Journal article]Authored by: Alam, S.
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5
Tsang, S., Koh, YS., Dobbie, G., & Alam, S. (2014). SPAN: Finding collaborative frauds in online auctions. Knowledge-Based Systems. 71, 389-408
[Journal article]Authored by: Alam, S.
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22
Rehman, SU., Alam, S., & Ardekani, IT. (2014). An overview of radio frequency fingerprinting for Low-End devices. International Journal of Mobile Computing and Multimedia Communications. 6(3), 1-21
[Journal article]Authored by: Alam, S.
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Book

Ur Rehman, S., Alam, S., & Ardekani, IT. (2014). Security of wireless devices using biological-inspired RF fingerprinting technique. In Biologically-Inspired Techniques for Knowledge Discovery and Data Mining. (pp. 311 - 330).
[Chapter]Authored by: Alam, S.
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Alam, S., Dobbie, G., Koh, YS., & Ur Rehman, S. (2014). Biologically inspired techniques for data mining: A brief overview of particle swarm optimization for KDD. In Biologically-Inspired Techniques for Knowledge Discovery and Data Mining. (pp. 1 - 10).
[Chapter]Authored by: Alam, S.
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Alam, S., Dobbie, G., Koh, YS., & Ur Rehman, S.(2014). Biologically-inspired techniques for knowledge discovery and data mining.
[Authored Book]Authored by: Alam, S.
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2
Alam, S., & Dobbie, G.(2012). Workshop on Biologically Inspired Techniques for Data Mining (BDM 2011): PC chairs' message.
[Authored Book]Authored by: Alam, S.
Alam, S., Dobbie, G., & Riddle, P. (2009). Exploiting swarm behaviour of simple agents for clustering web users' session data. In Data Mining and Multi-Agent Integration. (pp. 61 - 75).
[Chapter]Authored by: Alam, S.
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17

Conference

Ahmed, M., Sardar, U., Ali, S., Alam, S., Patterson, M., & Khan, IU. (2023). Robust Brain Age Estimation via Regression Models and MRI-Derived Features. Communications in Computer and Information Science. Vol. 1864 CCIS (pp. 661 - 674).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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Alam, S., Pande, R., Ayub, MS., & Khan, MA. (2023). Towards Developing an Automated Chatbot for Predicting Legal Case Outcomes: A Deep Learning Approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13995 LNAI (pp. 163 - 174).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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Pauleen, D., Weerasinghe, K., Taşkın, N., & Alam, S.(2023). Introduction to the Judgement, Big Data Analytics and Decision-making Minitrack. In Proceedings of the Annual Hawaii International Conference on System Sciences
[Conference Other]Authored by: Alam, S., Pauleen, D.
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Ali, S., Ahmad, M., Hassan, UU., Asad Khan, M., Alam, S., & Khan, I. (2022). Efficient Data Analytics on Augmented Similarity Triplets. Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. (pp. 5871 - 5880).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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1
Mansoor, H., Ali, S., Alam, S., Khan, MA., Ul Hassan, U., & Khan, I. (2022). Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers. Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. (pp. 5988 - 5997).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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3

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Pande, R., & Alam, S. (2020). Predicting the outcome of judicial cases using semantic analysis. 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020. (pp. 1757 - 1761).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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1
Algawiaz, D., Dobbie, G., & Alam, S. (2019). PRARS: Risk assessment model for recommender systems. Frontiers in Artificial Intelligence and Applications. Vol. 318 (pp. 701 - 710).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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Algawiaz, D., Dobbie, G., & Alam, S. (2019). Predicting a User's Purchase Intention Using AdaBoost. Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019. (pp. 324 - 328).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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1
Alam, S., Dobbie, G., & Sun, XB. (2017). Improving imputation accuracy in ordinal data using classification. Advances in Intelligent Systems and Computing. Vol. 557 (pp. 45 - 56).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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2
Ur Rehman, S., Sowerby, KW., Chong, PHJ., & Alam, S. (2017). Robustness of radiometric fingerprinting in the presence of an impersonator. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. Vol. 2017-October (pp. 1 - 5).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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1
Rehman, SU., Sowerby, KW., Alam, S., Ardekani, IT., & Komosny, D. (2016). Effect of channel impairments on radiometric fingerprinting. 2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015. (pp. 415 - 420).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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13
Zhou, W., Koh, YS., Wen, J., Burki, S., & Dobbie, G. (2014). Detection of abnormal profiles on group attacks in recommender systems. SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. (pp. 955 - 958).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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42
Zhou, W., Wen, J., Koh, YS., Alam, S., & Dobbie, G. (2014). Attack detection in recommender systems based on target item analysis. Proceedings of the International Joint Conference on Neural Networks. (pp. 332 - 339).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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19
Alam, S., Dobbie, G., Koh, YS., & Riddle, P. (2014). Web bots detection using Particle Swarm Optimization based clustering. Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. (pp. 2955 - 2962).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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14
Rehman, SU., Sowerby, KW., Alam, S., & Ardekani, I. (2014). Radio frequency fingerprinting and its challenges. 2014 IEEE Conference on Communications and Network Security, CNS 2014. (pp. 496 - 497).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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26
Rehman, SU., Sowerby, KW., Alam, S., & Ardekani, I. (2014). Portability of an RF fingerprint of a wireless transmitter. 2014 IEEE Conference on Communications and Network Security, CNS 2014. (pp. 151 - 156).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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15
Alam, S., Dobbie, G., Riddle, P., & Koh, YS. (2013). Analysis of web usage data for clustering based recommender system. Advances in Intelligent Systems and Computing. Vol. 221 (pp. 171 - 179).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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5
Alam, S., Dobbie, G., Koh, YS., & Riddle, P. (2013). Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization. Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, SIS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. (pp. 147 - 154).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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8
Abdullatif, M., Koh, YS., Dobbie, G., & Alam, S. (2013). Verb selection using semantic role labeling for citation classification. CompSci 2013 - Proceedings of the 2013 Workshop on Computational Scientometrics: Theory and Applications, Co-located with CIKM 2013. (pp. 25 - 30).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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7
Alam, S., Dobbie, G., & Riddle, P. (2012). Towards recommender system using particle swarm optimization based web usage clustering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7104 LNAI (pp. 316 - 326).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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11
Alam, S., Dobbie, G., Riddle, P., & Koh, YS. (2012). Hierarchical PSO clustering based recommender system. 2012 IEEE Congress on Evolutionary Computation, CEC 2012.
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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18
Alam, S. (2011). Intelligent web usage clustering based recommender system. RecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems. (pp. 367 - 370).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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10
Naeem, MA., Dobbie, G., Weber, G., & Alam, S. (2010). R-MESHJOIN for near-real-time data warehousing. International Conference on Information and Knowledge Management, Proceedings. (pp. 53 - 60).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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18
Alam, S., Dobbie, G., Riddle, P., & Naeem, MA. (2010). A swarm intelligence based clustering approach for outlier detection. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010.
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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14
Alam, S., Dobbie, G., Riddle, P., & Naeem, MA. (2010). Particle swarm optimization based Hierarchical Agglomerative clustering. Proceedings - 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2010. Vol. 2 (pp. 64 - 68).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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28
Alam, S., Dobbie, G., & Riddle, P. (2008). Particle swarm optimization based clustering of Web usage data. Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008. (pp. 451 - 454).
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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34
Alam, S., Dobbie, G., & Riddle, P. (2008). An evolutionary particle swarm optimization algorithm for data clustering. 2008 IEEE Swarm Intelligence Symposium, SIS 2008.
[Conference Paper in Published Proceedings]Authored by: Alam, S.
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Consultancy and Languages

Languages

  • English
    Last used: Recent
    Spoken ability: Excellent
    Written ability: Excellent
  • Urdu
    Last used: Recent
    Spoken ability: Excellent
    Written ability: Excellent
  • Pashto
    Last used: Recent
    Spoken ability: Excellent
    Written ability: Excellent

Teaching and Supervision

Contact Supervisor

Summary of Doctoral Supervision

Position Current Completed
Main Supervisor 3 0
Co-supervisor 0 1

Current Doctoral Supervision

Main Supervisor of:

  • Eranjana Kathriarachchige Don - Doctor of Philosophy
    The Perceptions of risks related to building user profiling the impact of inaccuracies and the perception of these risks in the governance of recommender systems.
  • Mohamed Osman - Doctor of Philosophy
    Health Stakeholders’ Perceptions on Impact of Health 4.0 on Quality Dimensions within New Zealand Healthcare
  • Frank Theunissen - Doctor of Philosophy
    Investigating Criteria Selection in Multi-Criteria Decision Making-based Inventory Classification

Completed Doctoral Supervision

Co-supervisor of:

  • 2023 - Ji Yu - Doctor of Philosophy
    Wisdom of the Crowds: Developing a Social Media Platform for Socially Responsible Research

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Last updated on Thursday 17 August 2023