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Dr Naeem Janjua

Lecturer

Contact Information Telephone: +61 8 6304 6021, Email: n.janjua@ecu.edu.au, Campus: Joondalup, Room: JO18.307
Staff Member Details
Telephone: +61 8 6304 6021
Email: n.janjua@ecu.edu.au
Campus: Joondalup  
Room: JO18.307  

 

Dr. Naeem Khalid Janjua is a Lecturer at the School of Science, ECU, Perth. He works actively in the domain of making informed business decisions (business intelligence) through the use of Web-based intelligent decision support systems.

Current Teaching

  • CSG1102 - Operating Systems
  • CSI2441 - Applications Development
  • CSI3106 - Software Architectures and Design
  • CSI6207 - Systems Analysis and Database Design

Background

Prior to joining the School of Science in July2016, he worked as a Post-Doctoral Fellow at UNSW Canberra and as a Research Associate at Curtin University. He received MS degree in Information Technology from the National University of Science and Technology (NUST), Pakistan; and the Ph.D. degree in Information Systems from Curtin University, Perth, Australia, in 2013.  He has more than 5 years of experience in information system’s design and development in various business environments.  He is an Associate Editor for International Journal of Computer System Science and Engineering (IJCSSE) and International Journal of Intelligent systems (IJEIS). He has published an authored book, a book chapter, and various articles in international journals and refereed conference proceedings. His areas of active research are knowledge representation and reasoning, enterprise knowledge management, cloud computing and IoT. He works actively in the domain of making informed business decisions (business intelligence) through the use of Web-based intelligent decision support systems.

Professional Associations

  1. IEEE Member since 2008.
  2. Sub-Committee Chair on Web Semantics under the umbrella of Technical Committee on Industrial Informatics. http://ieee-tcii.org/2014-07-10-08-39-10/2014-07-14-06-31-59
  3. Executive member of the Australian Society for Operations Research, ACT Chapter. http://www.asor-act.net/executive.html

Awards and Recognition

  1. PhD thesis has been nominated as an outstanding work by Curtin University, Australia in 2013.

Research Areas and Interests

Knowledge Representation and Reasoning, Ontologies and Semantic Web, Semantic Machine Learning, Cloud Computing, Cyber-physical Systems and Big Data analytics.

Internal research grants

  • Supply Chain Management 4.0: Evolution and Future Directions, SBL Inter-School Research Collaboration Scheme (A/Prof Ferry Jie, Dr Naeem Khalid Janjua, Dr Ahmed Ibrahim, Prof Craig Standing), Edith Cowan University, School of Business and Law, 2017

Qualifications

  • Doctor of Philosophy, Curtin University of Technology, 2013.

Research

Recent Research Grants

  • Developing autonomous solutions for building knowledge graphs to support educational outcomes in Virtuoso,  CingleVue Pty Ltd,  Scholarships to Support Industry Engagement PhD Project,  2019 - 2024,  $64,740.
  • Readiness to adopt health-assistive smart home technology in community-dwelling older adults,  WA Nurses Memorial Charitable Trust,  Grant,  2019 - 2020,  $5,196.
  • The Implementation of Health-Assistive Smart Home Technology in Independently-Dwelling Older Adults ,  Edith Cowan University,  ECU Industry Engagement Grant,  2019 - 2020,  $87,664.
  • Gauging Supplier Trustworthiness through Data Analytics: Towards an Ontology-driven Business Intelligence Framework,  Edith Cowan University,  ECU Collaboration Enhancement Scheme – 2017 Round 2,  2018 - 2019,  $8,787.
  • Real-time distributed events information collection and reasoning for timely actions in Internet of Things applications,  Edith Cowan University,  ECU Early Career Researcher Grant - 2018,  2018 - 2019,  $15,000.
  • Economically Efficient Green Logistics through Cyber Physical Systems,  Australian Research Council,  Grant - Linkage (Projects),  2016 - 2019,  $30,000.
  • Enhancing system architecture in support of event and real-time data streaming applications within the context of the Virtuoso platform,  CingleVue Pty Ltd,  APR Intern,  2019,  $14,500.
  • Establishing a 3D sensing, visualisation and analytics lab,  Edith Cowan University,  Edith Cowan University, School of Science 2017 Strategic Initiative Fund,  2017,  $115,368.

Recent Publications (within the last five years)

Journal Articles

  • Nawaz, F., Janjua, N., Hussain, O., (2019), PERCEPTUS: Predictive complex event processing and reasoning for IoT-enabled supply chain. Knowledge-Based Systems, 180(2019), 133-146, Elsevier, DOI: https://doi.org/10.1016/j.knosys.2019.05.024.
  • Altaf, F., Islam, S., Akhtar, N., Janjua, N., (2019), Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions. IEEE Access, 7(2019), 99540 - 99572, DOI: 10.1109/ACCESS.2019.2929365.
  • Nawaz, F., Mohsin, A., Janjua, N., (2019), Service description languages in cloud computing: state-of-the-art and research issues. Service Oriented Computing and Applications, 13(2), 109-125, Springer, DOI: https://doi.org/10.1007/s11761-019-00263-z.
  • Nawaz, F., Hussain, O., Hussain, F., Janjua, N., Saberi, M., Chang, E., (2019), Proactive management of SLA violations by capturing relevant external events in a Cloud of Things environment. Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, 95(2019), 26-44, DOI: 10.1016/j.future.2018.12.034.
  • Qidwai , U., Chaudhry, J., Jabbar, S., Zeeshan, HM., Janjua, N., Khalid, S., (2019), Using casual reasoning for anomaly detection among ECG live data streams in ubiquitous healthcare monitoring systems. Journal of Ambient Intelligence and Humanized Computing, 10(10), 4085–4097, DOI: 10.1007/s12652-018-1091-x.
  • Nawaz, F., Asadabadi, MR., Janjua, N., Hussain, O., Chang, E., Saberi, M., (2018), An MCDM method for cloud service selection using a Markov chain and the best-worst method. Knowledge-Based Systems, 159(2018), 120-131, DOI: 10.1016/j.knosys.2018.06.010.
  • Nawaz, F., Janjua, N., Hussain, OK., Hussain, FK., Elizabeth , C., Saberi, M., (2018), Event-driven approach for predictive and proactive management of SLA violations in the Cloud of Things. Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, 84(July 2018), 78-97, DOI: 10.1016/j.future.2018.02.025.
  • Mohsin, A., Janjua, N., (2018), A review and future directions of SOA-based software architecture modeling approaches for System of Systems. Service Oriented Computing and Applications, 12(3-4), 183-200, Springer, DOI: 10.1007/s11761-018-0245-1.
  • Janjua, N., Hussain, OK., Hussain, FK., Chang, E., (2015), Philosophical and Logic-Based Argumentation-Driven Reasoning Approaches and their Realization on the WWW: A Survey. The Computer Journal, 58(9), 1967-1999, Oxford University Press, DOI: 10.1093/comjnl/bxu057.
  • Hussain, OK., Rahman, Z., Hussain, FK., Singh, J., Janjua, N., Chang, E., (2015), A User-Based Early Warning Service Management Framework in Cloud Computing. The Computer Journal, 58(3), 472-496, The British Computer Society, DOI: 10.1093/comjnl/bxu064.

Conference Publications

  • Mohsin, A., Janjua, N., Islam, S., Neto, VV., (2019), Modeling Approaches for System-of-Systems Dynamic Architecture: Overview, Taxonomy and Future Prospects. Proceedings of the 2019 14th Annual Conference System of Systems Engineering (SoSE), 2019(19-22 May, 2019), 49-56, online, IEEE, DOI: 10.1109/SYSOSE.2019.8753877.
  • Janjua, N., Hussain, OK., Chang, E., Islam, S., (2017), Conjoint utilization of structured and unstructured information for planning interleaving deliberation in supply chains. Proceedings of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence, 411-418, New York, USA, Association for Computing Machinery, DOI: 10.1145/3106426.3106545.
  • Nawaz, F., Hussain, OK., Janjua, N., Chang, E., (2017), A proactive event-driven approach for dynamic QoS compliance in cloud of things. Proceedings of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI2017), 971-975, Association for Computing Machinery (ACM), DOI: 10.1145/3106426.3109431.
  • Islam, S., Raza, S., Moniruzzaman, M., Janjua, N., Lavery, P., Al-Jumaily, A., (2017), Automatic Seagrass Detection: A Survey. 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), p. 5, Piscataway, USA, IEEE, DOI: 10.1109/ICECTA.2017.8252036.
  • Janjua, N., (2016), Collaborative Planning and Decision Support for Practical Reasoning in Decentralised Supply Chains. Arg-LPNMR 2016 Proceedings, 7-14, online only, Cornell University.
  • Saberi, M., Janjua, N., Chang, E., Hussain, OK., Pazhoheshfar, P., (2016), In-house Crowdsourcing-Based Entity Resolution Using Argumentation. 6th International Conference on Industrial Engineering and Operations Management, 1-5, online only, IEOM Society.
  • Saberi, M., Hussain, OK., Janjua, N., Chang, E., (2015), Cognition and Statistical-Based Crowd Evaluation Framework for ER-in-House Crowdsourcing System: Inbound Contact Center. Databases Theory and Applications. 26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015. Proceedings, LNCS 9093(June 4-7), 207-219, Springer, DOI: 10.1007/978-3-319-19548-3_17.
  • Janjua, N., Hussain, OK., Chang, E., (2015), Interleaving Collaborative Planning and Execution Along with Deliberation in Logistics and Supply Chain. Artificial Intelligence in Theory and Practice IV. 4th IFIP TC 12 International Conference on Artificial Intelligence, IFIP AI 2015, Held as Part of WCC 2015, Daejeon, South Korea, October 4-7, 2015, Proceedings, AICT 465(4-7 October), 139-148, Springer, DOI: 10.1007/978-3-319-25261-2_13.
  • Nawaz, F., Mohsin, A., Fatima, S., Janjua, N., (2015), Rule-Based Multi-criteria Framework for SaaS Application Architecture Selection. Artificial Intelligence in Theory and Practice IV. 4th IFIP TC 12 International Conference on Artificial Intelligence, IFIP AI 2015, Held as Part of WCC 2015, Daejeon, South Korea, October 4-7, 2015, Proceedings, AICT 465(4-7 October), 129-138, Springer, DOI: 10.1007/978-3-319-25261-2_12.
  • Saberi, M., Hussain, OK., Janjua, N., Chang, E., (2014), In-house crowdsourcing-based entity resolution: Dealing with common names. 2014 IEEE 11th International Conference on e-Business Engineering (ICEBE), 83-88, IEEE, DOI: 10.1109/ICEBE.2014.25.
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