Dr. Mohd Nazir


Title: 

Associate Professor – Computer Science
School: School of Engineering
Department: Computer Science and Engineering Department
Office:  Bldg. G-335
Phone: Ext. 1116
Email: mohd.nazir@aurak.ac.ae

Dr. Mohd Nazir is an Associate Professor of Computer Science at the American University of Ras Al Khaimah (AURAK), and also the Consulting Director / Chief Architect at CODECOMPASS LLP. He was formerly a Senior Research Scientist for the leading Malaysian R&D institute for 9 years. He has a total of 15 years of experience in Artificial Intelligence (AI), Data Science and Big Data domains in the telecom, finance, and government sectors.

He has led and delivered multi-million-dollar high-profile government and industry projects responsible for the design, development, and implementation of AI, Data Science, Machine Learning, Big Data Applications, Cloud-based GP-GPUs, Computer- and Data-intensive Financial SaaS. As the Chief Architect, he has led and managed US$150M+ in technical project delivery and operational teams for the company’s Telecommunication Traffic Monitoring and Tax Revenue Assurance system, which processes and analyzes 20+ billion of CDR (Call Detail Records) with an average 4 Terabytes of binary and text data on a daily basis from telecommunication operators in India, Ghana, Guinea, and Sierra Leone.

  • University College London (UCL), United Kingdom, 2005 – 2011, PhD in Computer Science
  • University of Exeter, United Kingdom, 2001 – 2004, BSc (Hons) in Computer Science

 

Research interests

Data Science, Machine Learning, and Big Data. 

List of publications

  • Jiang F., Zhiyuan C., Wuzhen S., Nazir A., Weixiang L., Shaohui L. & Seungmin R. Combining Filter-based Markov Random Fields with Sparse Representation in Pursuing Natural Image Priors, IEEE Transactions on Multimedia, 2019 (submitted).
  • Babaei K., Zhiyuan C., Maul T., Nazir A. Prune-based Local Outlier Factor Approach (PLOF) for Point Outlier Detection, Journal of Mathematics and Statistics, 2019 (submitted).
  • Zhiyuan C., Nazir. A., Ettikan K. K, Teoh E. E., Van Khoa L., Soliman W. M, Alshamrani S. S. Comparative Study of Machine Learning Approaches for Anti-Money Laundering (AML), Journal of Information Security and Applications, 2019 (submitted).
  • Nazir A. Efficient Online Portfolio Selection with Heuristic AI Algorithm. International Journal of Statistics, Optimization & Information Computing, Vol. 7, No. 2, 2019.
  • Nazir A. A Critique of Imbalanced Data Learning Approaches for Big Data Analytics, International Journal of Business Intelligence and Data Mining, Vol. 14 No. 4, 2019.
  • Shorfuzzaman, Hossain M., 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, Volume 92, 2019.
  • 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, 2019 (Accepted).
  • 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.
  • Alotaibi, T., Nazir, A., Alroobaea, R., Alotibi, M., Alsubeai, F., Alghamdi, A., & Alsulimani, T. Saudi Arabia Stock Market Prediction Using Neural Network, International Journal of Computer Science and Engineering, Vol 10, No. 2, pp62-70, 2018.
  • 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.
  • 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.
  • Geong Sen Poh, Nazir A., “An Authentication Framework for Peer-to-Peer Cloud”, ACM Proceedings of the 6th International Conference on Security of Information and Networks, November 2013.
  • Chong P.K, Nazir, A., Yassin. Y, Ngo CH, Ettikan K Karuppiah, “Accelerating Data Cleansing for Malaysian Names Using Multi-core GPUs”, International Conference on Computers, Communications and Systems (ICCCS), Gyeongsan, Korea, 1 Nov 2013.
  • Boon Ping Lim; Nazir, A. Batcha, M.F.N., “FARCREST: Euclidean Steiner Tree-based cloud service latency prediction system,” Consumer Communications and Networking Conference (CCNC), 2013 IEEE, vol., no., pp.859-860, 11-14 Jan. 2013.
  • Nazir, A., Yassin. Y, Chong P.K, Ettikan K Karuppiah, “Evaluation of Virtual Machine Scalability for Big Data Analytics”, IEEE Conference on Open Systems, Kuala Lumpur, Malaysia, 21–24 October 2012.
  • Alan Hong Wai Ding, Nazir, A., Phooi Yee Lau, Soung-Yue Liew, Ea-Na Teoh, Poh Kit, Ettikan K. Karuppiah, “A Distributed Framework for Mining Financial Data”, International Workshop on Data Analytics and Mining in the Cloud, Taiwan, 2012.
  • Liew S.Y, Teoh EN, Lau P.Y, Nazir A., Chong P.K, Ettikan K. Karuppiah, “An Overlay Approach for Service Discovery in a Large-Scale Decentralized Cloud”, IEEE Asia Pacific Cloud Computing Congress (APCloudCC), 2012, China.
  • Nazir, A., Ong, H., and Selvi S.T., K. Rajendar., IntelligentGrid: Rapid Deployment of Grid Compute Nodes for Immediate Execution of Batch and Parallel Applications, IEEE Conference on Open Systems, Langkawi, Malaysia, 25-28 September 2011.
  • Nazir, A., Liu, H., and Sørensen, S., “A Rental-Based Approach in a Cluster or a Grid Environment”. In Proceedings of the 10th IEEE International Conference on Scalable Computing and Communications (SCALCOM 2010), Bradford, West Yorkshire, UK, June 29-July 1, 2010.
  • Nazir, A., Liu, H., and Sørensen, S., “Service Level Agreements in a Rental-based System”. In Proceedings of the 10th IEEE International Conference on Scalable Computing and Communications (SCALCOM 2010), Bradford, West Yorkshire, UK, June 29-July 1, 2010.
  • Nazir, A., Liu, H., and Sørensen, S., “Cost-Benefit Analysis of High Performance Computing Infrastructures”. In Proceedings of the 10th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2010), Perth, Australia, December 13-15, 2010.
  • Liu, H., Nazir, A., and Sørensen, S., “On-line automatic resource selection in distributed computing”. In Proceedings of the 2009 IEEE International Conference on Cluster Computing, 31 August-4 September, 2009.
  • Nazir, A., Liu, H., and Sørensen, S., “A Cost Efficient Framework for Managing Distributed Resources in a Cluster Environment”. In Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009.
  • Liu, H., Nazir, A., and Sørensen, S., “A Lightweight Approach of Automatic Resource Configuration in Distributed Computing”. In Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009.
  • Liu, H., Nazir, A., and Sørensen, S., “A Software Framework to Support Adaptive Applications in Distributed/Parallel Computing”. In Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009.
  • Nazir, A., Liu, H., and Sørensen, S., “On-demand Resource Allocation Policies for Computational Steering Support in Grids”. In Proceedings of International Conference on High Performance Computing (HPCNCS), 2007, p89-96.

Intellectual Property – Patents

  • Nazir, A., Ettikan Kandasamy Karuppiah, Soung Yue LIEW, Phooi Yee LAU, Ee Na TEOH, “Method of advertising services in a structured peer-to-peer network”, publication number WO2016032315 A1, publication date Mar 3, 2016.
  • Nazir A., Hong Hoe ONG, Ettikan Kandasamy Karuppiah, YASSIN Yaszrina MOHAMAD, “A system and method of fault tolerant for distributed applications in a virtualized environment”, publication number WO2014171810 A3, publication date Jul 16, 2015.
  • Geong Sen POH, Nazir A., “A system and method for peer-to-peer entity authentication with nearest neighbours credential delegation”, publication number WO2014092534 A1, publication date Jun 19, 2014.
  • Nazir A., Mohd Sidek Salleh, Mohammad Fairus Khalid, Tamarai Selvi SOMASUNDARAM, Rajendar KANDAN, “A method and system of extending computing grid resources”, publication number WO2013095083 A1, publication date Jun 27, 2013.

 

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