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    • Dr Naeem Janjua
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    • Dr Naeem Janjua

      Dr Naeem Janjua

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Dr Naeem Janjua

Adjunct Senior Lecturer

Staff Member Details
Email: n.janjua@ecu.edu.au
ORCID iD: https://orcid.org/0000-0003-0483-8196

Dr Janjua is an Adjunct Senior Lecturer at the School of Science, ECU. His areas of active research are knowledge representation and reasoning, software architecture modelling and simulation, NLP and Cloud Computing. He works actively in the domain of making informed business decisions (business intelligence) through the use of Web-based intelligent decision support systems.

Background

Prior to joining the School of Science in July 2016, 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 Memberships

  • IEEE Member Senior
  • MACS CP

Research Areas and Interests

Dr. Janjua's research interests include Semantic Web, Knowledge Graphs, NLP, Causal ML, Software Architecture Modelling and Decision Support Systems

Qualifications

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

Research Outputs

2023

Journal Articles

  • Jie, F., Standing, S., Janjua, N., Ibrahim, A., Standing, C. (2023). Research Agenda for Supply Chain Management 4.0. International Journal of Agile Systems and Management, 16(3), 317-346. https://doi.org/10.1504/IJASM.2023.132467.
  • Janjua, N., Nawaz, F., Prior, D. (2023). A fuzzy supply chain risk assessment approach using real-time disruption event data from Twitter. Enterprise Information Systems, 17(4), article number 1959652. https://doi.org/10.1080/17517575.2021.1959652.

Conference Publications

  • Altaf, F., Islam, S., Janjua, N., Akhtar, N. (2023). Pre-text Representation Transfer for Deep Learning with Limited and Imbalanced Data: Application to CT-Based COVID-19 Detection. Image and Vision Computing (119–130). Springer-Verlag. https://doi.org/10.1007/978-3-031-25825-1_9.

2022

Journal Articles

  • Prior, D., Saberi, M., Janjua, N., Jie, F. (2022). Can I Trust You? Incorporating Supplier Trustworthiness into Supplier Selection Criteria. Enterprise Information Systems, 16(8-9), Article Number: 1878393. https://doi.org/10.1080/17517575.2021.1878393.
  • Dermody, G., Mikus, J., Porock, D., Sugarman, D., Janjua, N., Christopher , H., Fritz, R. (2022). Perspectives on Wider Integration of the Health-Assistive Smart Home. Journal of Ageing and Longevity, 2(2), 140-152. https://doi.org/10.3390/jal2020013.

2021

Journal Articles

  • Nawaz, F., Janjua, N. (2021). Dynamic QoS-Aware Cloud Service Selection Using Best-Worst Method and Timeslot Weighted Satisfaction Scores. The Computer Journal, 64(9), 1326-1342. https://doi.org/10.1093/comjnl/bxaa039.
  • Altaf, F., Islam, S., Janjua, N. (2021). A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays. Neural Computing and Applications, 33(20), 14037-14048. https://doi.org/10.1007/s00521-021-06044-0.

Conference Publications

  • Hur, A., Janjua, N., Ahmed, M. (2021). A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead. Proceedings - 2021 IEEE 4th International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021 (99-103). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIKE52691.2021.00021.
  • Altaf, F., Islam, S., Janjua, N., Akhtar, N. (2021). Boosting Deep Transfer Learning for COVID-19 Classification. 2021 IEEE International Conference on Image Processing Proceedings (1-5). IEEE. https://doi.org/10.1109/ICIP42928.2021.9506646.

2020

Journal Articles

  • Mohsin, A., Janjua, N., Islam, S., Babar, M. (2020). SAM-SoS: A Stochastic Software Architecture Modeling and Verification Approach for Complex System-of-Systems. IEEE Access, 8(2020), 177580-177603. https://doi.org/10.1109/ACCESS.2020.3025934.

Conference Publications

  • Mohsin, A., Janjua, N., Masek, M., Neto, VV. (2020). Model Synthesis and Stochastic Automated Verification of Systems-of-Systems Dynamic Architectures. 2020 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2020 (285-293). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACSIS51025.2020.9263119.

2019

Journal Articles

  • 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. https://doi.org/10.1007/s12652-018-1091-x.
  • 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. https://doi.org/10.1109/ACCESS.2019.2929365.
  • 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. https://doi.org/10.1016/j.future.2018.12.034.
  • 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. https://doi.org/10.1007/s11761-019-00263-z.
  • Nawaz, F., Janjua, N., Hussain, O. (2019). PERCEPTUS: Predictive complex event processing and reasoning for IoT-enabled supply chain. Knowledge-Based Systems, 180(15 September 2019), 133-146. https://doi.org/10.1016/j.knosys.2019.05.024.

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) (49-56). IEEE. https://doi.org/10.1109/SYSOSE.2019.8753877.

2018

Journal Articles

  • 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. https://doi.org/10.1007/s11761-018-0245-1.
  • 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. https://doi.org/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. https://doi.org/10.1016/j.future.2018.02.025.

2017

Conference Publications

  • 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) (527-532). IEEE. https://doi.org/10.1109/ICECTA.2017.8252036.
  • 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). Association for Computing Machinery. https://doi.org/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). https://doi.org/10.1145/3106426.3109431.

2016

Conference Publications

  • Janjua, N. (2016). Collaborative Planning and Decision Support for Practical Reasoning in Decentralised Supply Chains. Arg-LPNMR 2016 Proceedings (7-14). 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). IEOM Society.

2015

Journal Articles

  • 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. https://doi.org/10.1093/comjnl/bxu064.
  • 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. https://doi.org/10.1093/comjnl/bxu057.

Conference Publications

  • 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 (139-148). Springer. https://doi.org/10.1007/978-3-319-25261-2_13.
  • 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 (207-219). Springer. https://doi.org/10.1007/978-3-319-19548-3_17.
  • 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 (129-138). Springer. https://doi.org/10.1007/978-3-319-25261-2_12.

2014

Conference Publications

  • 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. https://doi.org/10.1109/ICEBE.2014.25.

2013

Journal Articles

  • Janjua, N., Hussain, FK., Hussain, OK. (2013). Semantic information and knowledge integration through argumentative reasoning to support intelligent decision making. Information Systems Frontiers: a journal of research and innovation, 15(2), 167-192. https://doi.org/10.1007/s10796-012-9365-x.

2012

Journal Articles

  • Janjua, N., Hussain, FK. (2012). Web@IDSS – Argumentation-enabled Web-based IDSS for reasoning over incomplete and conflicting information. Knowledge-Based Systems, 32(August 2012), 9-27. https://doi.org/10.1016/j.knosys.2011.09.009.

2011

Conference Publications

  • Janjua, N., Hussain, FK. (2011). Defeasible Reasoning based Argumentative Web-IDSS for Virtual Teams (VTs). Proceedings 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops (330-334). IEEE. https://doi.org/10.1109/WI-IAT.2011.168.
  • Janjua, N., Hussain, FK. (2011). Rule-based business policies specification, reasoning and integration for business process model extraction. Proceedings - 2011 International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2011 (51-56). IEEE. https://doi.org/10.1109/BWCCA.2011.97.

Research Projects

  • Developing autonomous solutions for building knowledge graphs to support educational outcomes in Virtuoso, CingleVue International Pty Ltd, Scholarships to Support Industry Engagement PhD Projects , 2020 ‑ 2024, $150,000.
  • Economically Efficient Green Logistics through Cyber Physical Systems, Australian Research Council, Grant - Linkage (Projects), 2016 ‑ 2023, $30,000.
  • 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, $20,000.
  • 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.
  • 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.
  • Enhancing system architecture in support of event and real-time data streaming applications within the context of the Virtuoso platform, CingleVue International 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.

Research Student Supervision

Current Supervisions

Associate Supervisor

  • Doctor of Philosophy, Developing efficient and scalable detection methods for the Software Supply Chain through Machine Learning

Completed Supervisions

Principal Supervisor

  • Doctor of Philosophy, SSAMA@SoS: A framework to support the stochastic software architecture modelling and analysis for systems of systems

Co-principal Supervisor

  • Doctor of Philosophy: Proactive Service Level Agreement (SLA) violation management in the Cloud of Things (CoT) environment

Associate Supervisor

  • Doctor of Philosophy, Deep Learning Augmentation for Medical Image Analysis
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