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Dr Xujuan Zhou

Dr Xujuan Zhou
Name Xujuan Zhou
Position Senior Lecturer (Information Systems)
Section School of Business
Office A524
Location Springfield Campus
Phone +61 7 3470 4625
Extension 4625
Email
Qualifications BIT QUT , BIT(Hons) QUT , PhD QUT

Fields of Research (FoR)

  • Artificial Intelligence and Image Processing not elsewhere classified ( 080199 )
  • Information Systems not elsewhere classified ( 080699 )
  • Pattern Recognition and Data Mining ( 080109 )

Research interests
Information retrieval/filtering, Machine learning and Data mining, Information systems and management, Recommender systems, Sentiment analysis, Business analytics, Health informatics, Social network analysis

Professional memberships
Member of International Institute of Business Analysis (IIBA)
Member of Association for Computing Machinery (ACM)
Member of Institute of Electrical and Electronics Engineers (IEEE)

USQ Research affiliations

  • Centre for Health, Informatics and Economic Research (CHIER)

Currently teaching courses/programs
CIS1101 Business Online
CIS5101 Management of Business Online
CIS2000 Systems Analysis and Design
CIS5209 Systems Analysis for IT Professionals
CIS5206 Data Mining for Business Analytics and Cyber Security

Teaching experience(Tertiary)
12 Years

Research most recent
1. Moloud A, Zomorodi-Moghadam M, Zhou, X, Gururajan R, Tao X, Barua PD and Gururajan R (2018) A new nested ensemble technique for automated diagnosis of breast cancer, Pattern Recognition Letters. 2018 Nov 4.
2. Dunn AD, Zhou X, Hudgins J, Arachi D, Mandl KD, Coiera E, Bourgeois FT, (2016) Impact of financial conflicts of interest on the production of narrative reviews of neuraminidase inhibitors, Journal of clinical epidemiology 80, 43-49.
3. Dunn AD, Leask J, Zhou X, Kenneth DM, Coiera E (2015) Associations between exposure to and expression of negative opinions about human papillomavirus vaccines on social media: an observational study. Journal of Medical Internet Research 17(6):e144 DOI: 10.2196/jmir.4343.


Research most notable
Research Grant
The Commonwealth Innovation Connections Grant A$97,487 in total – the project title is “Prediction of Cancer Recurrence Using Innovative Machine Learning Approaches”. The project commenced on 31 January 2017 and finished on 31 January 2018. This project has been successfully extended with second grant of A$97,502. Extended project commenced on 15 April 2018 and will finish on 15 April 2019.

Research Publications
1. Zhou X, Wang Y, Tsafnat G, Coiera E, Bourgeois FT, Dunn AD (2014) Citations alone are enough to predict favourable conclusions in reviews of neuraminidase inhibitors. Journal of Clinical Epidemiology 68(1), 87-93.
2. Li Y, Zhou X, Bruza P, Xu Y, Lau R, (2012) A Two-stage Decision Model for Information Filtering, Decision Support System, 52(2012), p706-716.
3. Zhou X, Xu Y, Li Y, Jøang A., Cox C. (2012) The State-of-the-Art in Personalized Recommender Systems for Social Networking, Artificial Intelligence Review, 37(2), p119-132.


Publications in ePrints

Jahmunah, Vicnesh and Sudarshan, Vidya K. and Oh, Shu Lih and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Gururajan, Rashmi and Zhou, Xujuan and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Faust, Oliver and Ciaccio, Edward J. and Ng, Kwan Hoong and Acharya, U. Rajendra (2021) Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science. International Journal of Imaging Systems and Technology. pp. 1-17. ISSN 1098-1098

Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Shaik, Thanveer Basha and Higgins, Niall and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Zhou, Xujuan (2021) Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities. Sensors, 21 (3):776. pp. 1-20. ISSN 1424-8220

Chauhan, Ummara Ahmed and Afzal, Muhammad Tanvir and Shahid, Abdul and Abdar, Moloud and Basiri, Mohammad Ehsan and Zhou, Xujuan (2020) A comprehensive analysis of adverb types for mining user sentiments on Amazon product reviews. World Wide Web. ISSN 1386-145X

Zhou, Xujuan and Li, Yuefeng and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Bargshady, GhazalORCID: https://orcid.org/0000-0002-2557-7928 and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Venkataraman, Revathi and Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas (2020) A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection. In: 7th International Conference on Behavioural and Social Computing (BESC 2020), 5-7 Nov 2020, Bournemouth, United Kingdom.

Zhou, Xujuan and Gururajan, RajORCID: https://orcid.org/0000-0002-5919-0174 and Li, Yuefeng and Venkataraman, Revathi and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Bargshady, GhazalaORCID: https://orcid.org/0000-0002-2557-7928 and Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas (2020) A survey on text classification and its applications. Web Intelligence, 18 (2). pp. 205-216. ISSN 2405-6456

View full listing in ePrints

Approved research supervisor in the area of:

  • Artificial Intelligence and Image Processing not elsewhere classified ( 080199 )
  • Information Systems not elsewhere classified ( 080699 )
  • Pattern Recognition and Data Mining ( 080109 )


Research topics