Xiaohui Tao, PhD

Associate Professor (Computing)
School of Sciences
University of Southern Queensland, AUSTRALIA
Tel: +61 7 4631 1576
Email: xiaohui DOT tao AT usq DOT edu DOT au
http://www.tao-xiaohui.info
https://staffprofile.usq.edu.au/Profile/Xiaohui-Tao

Dr. Xiaohui Tao is a Senior IEEE Member, an active researcher in AI, and Associate Professor (Computing) in School of Sciences, University of Southern Queensland (USQ), Australia. His research interests include data analytics, machine learning, knowledge engineering, information retrieval, and health informatics. During his research career, Tao gained a wealth of knowledge and experience in dealing with massive data sets and delivering solutions to complex research problems. He developed many innovative models, methods and systems, such as a multi-disease recommender system, a clinic decision support system for personalized and evidence-based medicine, a heterogeneous information graph model for health risk prediction, an algorithm to detect potential mental issues using sentiment analysis and natural language processing techniques, and an ontology learning and mining model for personalized information gathering, and made contributions to the areas such as Knowledge Engineering, Text Mining and Information Retrieval and Health informatics. The research outcomes have been published on many top-tier journals (e.g., IEEE TKDE, KBS and WWWJ) and conferences (e.g., ICDE, CIKM, PAKDD and WISE). A/Prof. Tao is an Endeavour Research Fellow in 2015-16 and was awarded with Research Award by Department of Mathematics and Computing, USQ in 2012 and the Dean’s Award for Academic Excellence by Faculty of Science and Technology at QUT in 2009.

Dr. Tao has been active in professional services. He has served PC Chair in WI ‘17 and ‘18 and BESC ‘18. He has been an editor or guest editor in many journals including WIJ, WWWJ, and INFFUS, and also been a regular reviewer in many top-ranking journals such as TKDE, TPDS, Neural Networks, and Knowledge Based Systems. Dr. Tao has also been actively participating in tertiary education ever since 2005 and taught a variety of IT/IS subjects. Currently, he is leading the Data Mining and Analytics (DMA) Group in School of Sciences, USQ and is the Principal Supervisor of a number of PhD and Research Master students.

Research

Research Interests

Text mining, information retrieval, natural language processing recommender systems, semantic web, health informatics,

Selected Research Projects (for recruitment of HDR students)

Selected Publications

Full list: Google Scholar Scopus DBLP ResearchGate

Books

  1. Ning Zhong, Jianhua Ma, Jiming Liu, Runhe Huang, and Xiaohui Tao (Eds.). Wisdom Web of Things (W2T). 2016, Springer [ISBN 978-3-319-44198-6][DOI: 10.1007/978-3-319-44198-6]
  2. Harleen Kaur and Xiaohui Tao (Eds.). ICTs and the Millennium Development Goals - A United Nations Perspective. 2014, Springer. [ISBN 978-1-4899-7438-9] [DOI: 10.1007/978-1-4899-7439-6]

Book Chapters

  1. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Mohammed Diykh and Jerry Chun-Wei Lin. A Structural Graph-Coupled Advanced Machine Learning Ensemble Model for Disease Risk Prediction in a Telehealthcare Environment. In: Roy S., Samui P., Deo R., Ntalampiras S. (eds) Big Data in Engineering Applications. Studies in Big Data, vol 44. Springer, Singapore, 2018 [DOI: https://doi.org/10.1007/978-981-10-8476-8 18]
  2. Jianhui Chen, Jian Han, Yue Deng, Han Zhong, Ningning Wang, Youjun Li, Zhijiang Wan, Taihei Kotake, Dongsheng Wang, Xiaohui Tao, and Ning Zhong. Multi-level Big Data Content Services for Mental Health Care. Wisdom Web of Things (W2T), pages 155-180, 2016, Springer. [DOI: https://doi.org/10.1007/978-3-319-44198-6 7]

Journal Articles

  1. Faisal Nabi, Jianming Yong, Xiaohui Tao, Classification of Logical Vulnerability Based on Group Attack Method. J. Ubiquitous Syst. Pervasive Networks 14(01): 19-26 (2021)
  2. Xiaohui Tao, Oliver Chi, Patrick J. Delaney, Lin Li and Jiajin Huang. Detecting Depression using an Ensemble Classifier Based on Quality of Life Scales. Brain Informatics Journal, Springer (in press), 2020.
  3. Wee Pheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong, Feature-based Learning in Drug Prescription System for Medical Clinics, Neural Processing Letters (in press), 2020 [doi: 10.1007/s11063-020-10296-7][Q1]
  4. Christopher Kok, V Jahmunah, Shu Lih Oh , Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Kang Hao Cheong, Rashmi Gururajan, and U Rajendra Acharya, Automated Prediction of Sepsis Using Temporal Convolutional Network, Computers in Biology and Medicine (in press), 2020 [https://doi.org/10.1016/j.compbiomed.2020.103957]
  5. Wee Pheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong, Feature-based Learning in Drug Prescription System for Medical Clinics, Neural Processing Letters, 2020 [https://doi.org/10.1007/s11063-020-10296-7][Q1]
  6. Xieling Chen, Xinxin Zhang, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Nengfu Xie and Tianyong Hao, A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research, Multimedia Tools and Applications, 2020 [https://doi.org/10.1007/s11042-020-09062-7][Q1]
  7. Ji Zhang, Leonard Tan, Xiaohui Tao, Thuam Pham and Bing Chan, Rational Intelligence Recognition in Online Social Networks - A Survey, Computer Science Review, volume 35, Feb 2020 [https://doi.org/10.1016/j.cosrev.2019.100221][Q1]
  8. Raid Luaibi Lafta, Ji Zhang and Xiaohui Tao, A General Extensible Learning Approach for Multi-Disease Recommendations in a Telehealth Environment, Pattern Recognition Letters, Elsevier, Volume 132, page 106-114, April 2020 [https://doi.org/10.1016/j.patrec.2018.11.006] [Q1]
  9. Moloud Abdar, Mariam Zomorodi-Moghadam, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Prabal D Barua and Rashmi Gururajan, A new nested ensemble technique for automated diagnosis of breast cancer, Pattern Recognition Letters, Elsevier, Volume 132, page 123-131, April 2020 [https://doi.org/10.1016/j.patrec.2018.11.004] [Q1]
  10. Xiaohui Tao, Thuan Pham, Ji Zhang, Jianming Yong, Wee Pheng Goh, Wenping Zhang, Yi Cai, Mining Health Knowledge Graph for Health Risk Prediction, World Wide Web Journal, 2020 [https://doi.org/10.1007/s11280-020-00810-1]
  11. Xiaohui Tao, Wee Pheng Goh, Ji Zhang, Jianming Yong, Elizabeth Z. Goh, Xueling Oh, Mobile-based Learning of Drug Prescription for Medical Education using Artificial Intelligence Techniques, International Journal of Mobile Learning and Organisation, InderScience, 2020 [Q1]
  12. Thuan Pham, Xiaohui Tao, Ji Zhang and Jianming Yong, Constructing a Knowledge-based Heterogeneous Information Graph for Medical Health Status Classification, International Journal of Health Information Science and Systems, volume 8, Article number: 10 (2020). [https://doi.org/10.1007/s13755-020-0100-6][Q1]
  13. Da Ren, Pengfei Zhang, Qing Li, Xiaohui Tao, Junying Chen and Yi Cai, A Hybrid Representation Based Similar Component Extraction, Neural Computing and Applications (2020) [https://doi.org/10.1007/s00521-020-04818-6]
  14. Faisal Nabi, Jianming Yong, Xiaohui Tao: A Novel Approach for Component based Application Logic Event Attack Modeling. Int. J. Netw. Secur. 22(3): 435-441 (2020)
  15. Xiaohui Tao, Haoran Xie, Yongrui (Louie) Qin, Xujuan Zhou, Yi Cai: Knowledge discovery and management on online social networks and media. Web Intell. 18(3): 179-180 (2020)
  16. Xujuan Zhou, Raj Gururajan, Yuefeng Li, Revathi Venkataraman, Xiaohui Tao, Ghazal Bargshady, Prabal Datta Barua, Srinivas Kondalsamy-Chennakesavan: A survey on text classification and its applications. Web Intell. 18(3): 205-216 (2020)
  17. Abhishek Mahalle, Jianming Yong, Xiaohui Tao: ITIL process management to mitigate operations risk in cloud architecture infrastructure for banking and financial services industry. Web Intell. 18(3): 229-238 (2020)
  18. Ji Zhang, Leonard Tan, and Xiaohui Tao. On Relational Learning and Discovery in Social Networks: A Survey, International Journal of Machine Learning and Cybernetics, 10(8): 2085-2102, 2019. [https://doi.org/10.1007/s13042-018-0823-8][Q1]
  19. Wee Pheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong, Wenping Zhang and Haoran Xie, Drug prescription support in dental clinics through drug corpus mining, International Journal of Data Science and Analytics, 2018. [https://doi.org/10.1007/s41060-018-0149-3]
  20. Ji Zhang, Raid Luaibi Lafta, Xiaohui Tao, Yan Li, Fulong Chen, Yonglong Luo, and Xiaodong Zhu. Coupling a Fast Fourier Transformation with a Machine Learning Ensemble Model to Support Recommendations for Heart Disease Patients in a Telehealth Environment, IEEE Access, vol. 5, pp. 10674-10685, (2017). [https://doi.org/10.1109/ACCESS.2017.2706318][Q1, SNIP: 3.601]
  21. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng, Yonglong Luo, and Fulong Chen. An Intelligent Recommender System based on Predictive Analysis in Telehealthcare Environment. Web Intelligence, an International Journal, 14(4): 325-336 (2016). [https://doi.org/10.3233/WEB-160348]
  22. Omar Ali, Jeffrey Soar, Jianming Yong and Xiaohui Tao. Factors to be considered in Cloud Computing Adoption. Web Intelligence, an International Journal, 14(4): 309-323 (2016). [https://doi.org/10.3233/WEB-160347]
  23. Wee Phong Goh, Xiaohui Tao, Ji Zhang, and Jianming Yong. Decision Support Systems for Adoption in Dental Clinics: A Survey. Knowledge-Based Systems, Elsevier, 104, 195{206 (2016). [https://doi.org/10.1016/j.knosys.2016.04.022][Q1; SNIP: 2.757; SJR: 2.190; IF: 2.947; 5-yr IF: 3.011]
  24. Ji Zhang, Xiaohui Tao, and Hua Wang. Outlier Detection from Large Distributed Databases. World Wide Web Journal, Springer, 17(4):539-568, 2014. [https://doi.org/10.1007/s11280-013-0218-4] [ERA A, SNIP: 1.656]
  25. Guangyuan Wang, Hua Wang, Xiaohui Tao, Ji Zhang and Guohun Zhu: Finding a Weighted Poitive Inffluence Dominating Set in E-learning Social Networks. International Journal Computing and Technology, 10(10): 2136-2145 (2013). [https://doi.org/10.24297/ijct.v10i10.1196]
  26. Xiaohui Tao, Yuefeng Li, and Ning Zhong. A Personalised Ontology Model for Web Information Gathering. IEEE Transactions on Knowledge and Data Engineering, 23(4):496-511 (2011). [https://doi.org/10.1109/TKDE.2010.145]

Conference Papers (2016-)

  1. Peiran Nai, Lin Li and Xiaohui Tao, A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension, accepted by International Conference on Web Information Systems Engineering (WISE), 2020. [Best Student Paper Award]
  2. Zhaoyang Li, Lin Li and Xiaohui Tao, A Two-Stream Graph Convolutional Neural Network for Dynamic Trafic Flow Forecasting, accepted by 32nd International Conference on Tools with Artificial Intelligence(ICTAI), 2020
  3. Divya Lakshminarayan Sukumar, Ji Zhang and Xiaohui Tao, Predicting Workplace Injuries Using Machine Learning Algorithms, poster accepted by The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2020)
  4. Ru Wang, Lin Li, Peipei Wang, Xiaohui Tao, Peiyu Liu, Feature-aware unsupervised learning with joint variational attention and automatic clustering, accepted by the 25th International Conference on Pattern Recognition (ICPR), 2020.
  5. Abhishek Mahalle, Jianming Yong and Xiaohui Tao, IT Investment Governance and Corporate Governance-Perspective and Approach, accepted by the 7th International Conference on Behavioural and Social Computing (BESC2020), Bournemouth United Kingdom, 5-7 November 2020.
  6. Xujuan Zhou, Yuefeng Li, Raj Gururajan, Ghazal Bargshady, Xiaohui Tao, Revathi Venkataraman, Prabal D Barua and Srinivas Kondalsamy-Chennakesavan, A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection, accepted by the 7th International Conference on Behavioural and Social Computing (BESC2020), Bournemouth United Kingdom, 5-7 November 2020.
  7. Faisal Nabi, Jianming Yong and Xiaohui Tao, Security Review of Event based Application Function and Service Component Architecture, accepted by the 60th International Association for Computer Information Systems, 2020
  8. Song Xie, Jingjing Cao, Xiaohui Tao, Sentiment Analysis of Chinese E-commerce Reviews Based on BERT, accepted by the 18th IEEE International Conference on Industrial Informatics (INDIN 2020), online event.
  9. Abhishek Mahalle, Jianming Yong, and Xiaohui Tao. Regulatory Challenges and Mitigation for Account Services Offered by FinTech. Accepted for the 2020 24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2020), Dalian, China
  10. Abhishek Mahalle, Jianming Yong, and Xiaohui Tao. Challenges and Mitigation for Application Deployment over SaaS Platform in Banking and Financial Services Industry. Accepted for the 2020 24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2020), Dalian, China
  11. Faisal Nabi, Jianming Yong,and Xiaohui Tao, Classification of Logical Vulnerability Based on Group Attacking Method, accepted by The 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020) April 6-9, 2020, Warsaw, Poland
  12. Ji Zhang, Leonard Tan, Xiaohui Tao, Dianwei Wang, Josh Jia-Ching Ying and Xin Wang, Learning Relational Fractals For Deep Knowledge Graph Embedding In Online Social Networks, Web Information Systems Engineering (WISE) 2019, Springer International Publishing, pp. 660-674, 2019 [https://doi.org/10.1007/978-3-030-34223-4_42][Best Runner-up Paper Award]
  13. Wee Pheng Goh, Xiaohui Tao, Ji Zhang, and Jianming Yong, Personalised Drug Prescription for Dental Clinics Using Word Embedding, In: U L., Yang J., Cai Y., Karlapalem K., Liu A., Huang X. (eds) Web Information Systems Engineering. WISE 2019. Communications in Computer and Information Science, vol 1155. Springer, Singapore [https://doi.org/10.1007/978-981-15-3281-8_5]
  14. Ji Zhang, Leonard Tan, Xiaohui Tao, Hongzhou Li, Fulong ChenYonglong Luo, SLIND+: Stable LINk Detection, In: U L., Yang J., Cai Y., Karlapalem K., Liu A., Huang X. (eds) Web Information Systems Engineering. WISE 2019. Communications in Computer and Information Science, vol 1155. Springer, Singapore [https://doi.org/10.1007/978-981-15-3281-8_8]
  15. Thuan Pham, Xiaohui Tao, Ji Zhang, Jianming Yong, Xujuan Zhou and Raj Gururajan, MeKG: Building a Medical Knowledge Graph by Data Mining from MEDLINE, in Proceedings of the 12th International Conference on Brain Informatics, Haikou, China, 159-168, 2019 [https://doi.org/10.1007/978-3-030-37078-7_16]
  16. Tianning Li, Prashanth Sivakumar and Xiaohui Tao, Anesthesia Assessment Based on ICA Permutation Entropy Analysis of Two-Channel EEG Signals, in Proceedings of the 12th International Conference on Brain Informatics, Haikou, China, 244-253, 2019 [https://doi.org/10.1007/978-3-030-37078-7_24]
  17. Brendan Lys, Xiaohui Tao, Tony Machin, Ji Zhang and Ning Zhong. Identification of Stress Impact on Personality Density Distributions. in Proceedings of the 12th International Conference on Brain Informatics, Haikou, China, 265-272, 2019 [https://doi.org/10.1007/978-3-030-37078-7_26]
  18. Leonard Tan, Ji Zhang, Xiaohui Tao, Profiling Relational Turbulence of Students Using Adversarial Learning, accepted by the AI-based Multi-modal Analytics for Educational Contexts, workshop joint with IJCAI 2019
  19. Xiaohui Tao, Ravi Dharmalingam, Ji Zhang, Xujuan Zhou, Lin Li, and Raj Gururajan. Twitter Analysis for Depression on Social Networks Using Natural Language Processing Techniques. 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), Beijing, China, 2019, pp. 1-4. [https://doi.org/10.1109/BESC48373.2019.8963550]
  20. Abhishek Mahalle, Jianming Yong and Xiaohui Tao. Protecting Privacy in Digital Era on Cloud Architecture for Banking and Financial Services Industry. 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), Beijing, China, 2019, pp. 1-6. [https://doi.org/10.1109/BESC48373.2019.8963459]
  21. Buti Sello, Xiaohui Tao and Jianming Yong, Deterministic Consensus Protocols, 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), Beijing, China, 2019, pp. 1-4. [https://doi.org/10.1109/BESC48373.2019.8963205]
  22. Xujuan Zhou, Ghazal Bargshady, Moloud Abdar, Xiaohui Tao, Raj Gururajan and Ka C Chan, A Case Study of Predicting Banking Customers Behaviour Using Data Mining, 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), Beijing, China, 2019, pp. 1-6.[https://doi.org/10.1109/BESC48373.2019.8963436]
  23. Abhishek Mahalle, Jianming Yong, and Xiaohui Tao. Ethics of IT Security Team for Cloud Architecture Infrastructure in Banking and Financial Services Industry. 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), Porto, Portugal, 2019, pp. 506-511.[https://doi.org/10.1109/CSCWD.2019.8791928]
  24. Abhishek Mahalle, Jianming Yong, and Xiaohui Tao. Insider Threat and Mitigation for Cloud Architecture Infrastructure in Banking and Financial Services Industry. 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), Porto, Portugal, 2019, pp. 16-21.[https://doi.org/10.1109/CSCWD.2019.8791906]
  25. Ji Zhang, Xiaohui Tao, Leonard Tan and Thuan Pham. Detecting Relational States in Online Social Networks. Accepted by the 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018), 12-14 November 2018, Kaohsoung, Taiwan.
  26. Thuan Pham, Xiaohui Tao, Ji Zhang, Jianming Yong, Wenping Zhang and Yi Cai. Mining Heterogeneous Information Graph for Health Status Classification. Accepted by the 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018), 12-14 November 2018, Kaohsoung, Taiwan.
  27. Abhishek Mahalle, Jianming Yong and Xiaohui Tao. Control over Incident Management Processes and Change Management Processes to mitigate Operations Risk in Cloud Architecture Infrastructure For Banking and Financial Services Industry. Accepted by the 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018), 12-14 November 2018, Kaohsoung, Taiwan.
  28. Wee Pheng Goh, Xiaohui Tao, Ji Zhanga, Jianming Yong, Yongrui Qin, Elizabeth Zhixin Goh, Aimin Hu. Exploring the Use of a Network Model in Drug Prescription Support for Dental Clinics. In Proceedings of the 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018), pp. 168-172, 12-14 November 2018, Kaohsoung, Taiwan.
  29. Ji Zhang, Leonard Tan, Xiaohui Tao, Jerry Chun-Wei Lin, Hongzhou Li and Liang Chang. On Link stability Detection for Online Social Networks. In Proceedings of 28th International Conference on Database and Expert Systems Applications (DEXA 2018), pp 320-335. September 3-6, 2018, Germany.
  30. Raid Lafta, Ji Zhan, Xiaohui Tao, Jerry Chun-Wei Lin, Fulong Chen, Yonglong Luo and Xiaoyao Zheng. A Recommender System with Advanced Time Series Medical Data Analysis for Diabetes Patients in a Telehealth Environment. In Proceedings of 28th International Conference on Database and Expert Systems Applications (DEXA 2018), pp 185-192, September 3-6, 2018, Germany.
  31. Ji Zhang, Leonard Tan, Xiaohui Tao, Xiaoyao Zheng, Yonglong Luo, and Jerry Chun-Wei Lin. SLIND: Identifying Stable Links in Online Social Networks. The 23rd International Conference on Database Systems for Advanced Applications (DASFFA 2018), pp 813-816, May 21-24, 2018, Gold Coast, Australia.
  32. Abhishek Mahalle, Jianming Yong and Xiaohui Tao. Data Privacy and System Security for Banking and Financial Services Industry based on Cloud Computing Infrastructure. Accepted by the 2018 22nd IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2018), May 9-11, 2018, Nanjing, China
  33. Xujuan Zhou, Xiaohui Tao, Mostafa Rahman, and Ji Zhang. Coupling Topic Modelling in Opinion Mining for Social Media Analysis. In Proceeding of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence, Leipzig, Germany, 2017.
  34. Wee Pheng Goh, Xiaohui Tao, Ji Zhang, and Jianming Yong. Mining Drug Properties for Decision Support in Dental Clinics. In Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 375-387, 2017, Jeju, South Korea.
  35. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Wessam Abbas, Yonglong Luo, Fulong Chen and Vincent S. Tseng. A fast Fourier transform-coupled machine learning-based ensemble model for disease risk prediction using a real-life dataset. In Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp 654-670, 2017.
  36. Xiaohui Tao, Xujuan Zhou, Ji Zhang, and Jianming Yong. Sentiment Analysis for Depression Detection on Social Networks. In Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA ‘16), pp. 807-810, 2016.
  37. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, and Vincent S. Tseng. IRS-HD: an Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-health Environment. In Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA ‘16), pp. 803-806, 2016.
  38. Ali A. Al-kharaz, Xiaohui Tao, Ji Zhang, and Raid Lafta. Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification. In Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA ‘16), pp. 219-233, 2016. (Acceptance Rate 17%)
  39. Mehdi Gheisari, Mojtaba Fazli, Yongrui Qin, Jianming Yong, Xiaohui Tao, Ji Zhang, and Haifeng Shen. NSSSD:A New Semantic hierarchical Storage for Sensor Data. In Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 174-179, 2016.
  40. Mehdi Jafari, Jing Wang, Yongrui Qin, Mehdi Gheisari, Amir Shahab Shahabi, Xiaohui Tao. Automatic text summarization using fuzzy inference. In Proceedings of the 22nd International Conference on Automation and Computing (ICAC), pp. 256-260, 2016

HDR Supervision (completed theses)

Teaching

Current Teaching

Curriculum Development

Subjects Taught

Area Subject Area Subject
IT Project and Capstone ICT Professional Project
Capstone Projects
Core Project Management
Core Project Implementation
Programming and BI Enterprise Data Mining
Foundation Programming
Programming Principles
Research Project Research Project
Computing Complementary Studies
Software engineering Agent-based Software engineering
Software Engineering Studies
Modeling Design and Analysis
IT Foundation Foundation Computing
Discrete Maths for Computing
Networking Networks
System Architecture

Services

Editorship

Regular Journal Reviewer (selected)

IEEE TKDE, TPDS, TCC, TSC, J-BHI, IEEE Intell. Syst., IEEE IoT, ACM TMIS, TWEB, TALIP, Neural Netw., Knowl.-Based Syst., INFFUS, Information & Management, PRL, Comput. Biol. Med., BMC Bioinformatics, WWWJ, HISS, SNAM, ECR, and more.

Conference Organisation (2014-)

PC Member (selected, 2014-)

PAKDD; WISE; ASONAM; APWeb; ISMIS; IoP; AusDM; BESC; ICA; WI-IAT; HIS; ICEBE; IMMM; BIH; DSAA; etc.