Dr. Mohd Nazir

Associate Professor

PhD in Computer Science

BSc (Hons) in Computer Science


Mohd Nazir is currently an Associate Professor at the College Technological Innovation, Zayed University, and the Chief Architect for a telecom analytics provider. He was formerly a Senior Research Scientist for the Malaysian R&D institute for 9 years. His research interests include Artificial Intelligence (AI), Machine Learning, Data Science, Big Data, and Cloud Computing.


Abu Dhabi Campus, MF2-0-051


+971 2 599 3820

Teaching Areas

Data Analytics, Data Science, and Database Systems.

Research and Professional Activities

Research Area(s):

Artificial Intelligence (AI), Machine Learning, Data Science, Big Data, and Cloud Computing.

Refereed journal papers

  • Waseem Q, Wan Din WIS, Alshamrani SS, Alharbi A, Nazir A. Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing. Electronics. 2021
  • Shaikh AK, Al-Shamli M, Nazir A. Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA). Journal of Big Data. 2021.
  • Waseem, Quadri, Mohd Aizaini Maarof, Mohd Yazid Idris, and Nazir A. "A Taxonomy and Survey of Data Partitioning Algorithms for Big Data Distributed Systems." In Micro-Electronics and Telecommunication Engineering, pp. 447-457. Springer, Singapore, 2020.
  • Shorfuzzaman, M., Hossain, M. S., Nazir, A., Muhammad, G., & Alamri, A. Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment, Computers in Human Behavior, Vol. 92, pp 578-588, 2019.
  • Nazir A. A Critique of Imbalanced Data Learning Approaches for Big Data Analytics, International Journal of Business Intelligence and Data Mining, 14 (4), pp419-457, 2019.
  • Nazir A. Efficient Online Portfolio Selection with Heuristic AI Algorithm. International Journal of Statistics, Optimization & Information Computing, 2019.
  • Nazir A. A Dynamic and QoS-effective Resource Management System, International Journal of High Performance Computing and Networking, volume 13, Issue 3, 2019.
  • Nazir A. Accelerated Anticor Online Portfolio Selection on Multi-core CPUs and GPU with OpenCL. IAENG International Journal of Computer Science, Vol. 45, No. 3, pp390-402, 2018.
  • Shaikh, A. K., Alhashmi, S. M., Parthiban, R., and Nazir, A. A Fuzzy Rule-Based Optimisation Model for Efficient Resource Utilisation in a Grid Environment Using Proximity Awareness and Semantic Technology, Journal of Information & Knowledge Management, Vol. 17, No. 2, 1850023, 2018.
  • Shaikh A.K. and Nazir A. A Novel Dynamic Approach to Identifying Suspicious Customers in Money Transactions, International Journal of Business Intelligence and Data Mining, 2017.
  • Zhiyuan Chen, Le Dinh Van Khoa, Ee Na Teoh, Nazir A., Ettikan Karuppiah, and Kim Sim Lam, Machine Learning Techniques for Anti-Money Laundering (AML) Solutions in Suspicious Transaction Detection: A Review. International Journal of Knowledge and Information Systems, pp. 1-41, 2017.
  • Nazir A. Seamless Automation and Integration of Machine Learning Capabilities for Big Data Analytics, International Journal of Distributed and Parallel Systems, Vol. 8, No. 3, 2017.

Papers in refereed conference proceedings

  • Abdullah, A., Nazir, A., Senapan, M., Meng, S. S., & Karuppiah, E. (2015). Fast Multi-Keyword Range Search Using GPGPU. In GPU Computing and Applications (pp. 259-274). Springer Singapore.

  • Zhiyuan C., Nazir A., Teoh E., Ettikan Karuppiah, “Exploration of the Effectiveness of Expectation Maximization Machine Learning Algorithm for Suspicious Transaction Detection in Anti-Money Laundering”, IEEE Conference on Open Systems, Kuala Lumpur, Malaysia, July 2014.