Web Access Research Portal
Individual Researchers Report
Researcher Bio
| Researcher: | M Ali |
| School/Unit: | Information and Communication Technology |
| Commenced with Institution: | 6/3/2017 Ceased: 25/7/2018 |
| Commenced Current Job: | 6/3/2017 |
Citations sourced from WOS® and Scopus
| Top 3 Fields of Research |
|---|
| Health Informatics |
| Mobile Technologies |
| Data Structures |
| Top 3 Research Objectives |
|---|
| Information Processing Services (incl. Data Entry and Capture) |
| Computer Software and Services |
Fields of Research
| Health Informatics |
| Mobile Technologies |
| Data Structures |
| Pattern Recognition and Data Mining |
Research Objectives
Research Funding
No records found.
Graduate Research Supervision (Current)
No records found.
Graduate Research Supervision (Graduands)
No records found.
Career Best Publications
None Identified
Research Publications
| Journal Article |
|---|
| Ali, M and Han, SC* and Bilal, HSM* and Lee, S* and Kang, MJY* and Kang, BH and Razzaq, MA* and Amin, MB*, “iCBLS: an interactive cased-based learning system for medical education”, International Journal of Medical Informatics, 109 pp. 55-69. doi:10.1016/j.ijmedinf.2017.11.004 ISSN 1386-5056 (2018) [Refereed Article] |
| Ali, M and Ali, SI* and Kim, D* and Hur, T* and Bang, J* and Lee, S* and Kang, BH and Hussain, M*, “uEFS: An efficient and comprehensive ensemble-based feature selection methodology to select informative features”, PLOS One, 13 (8) Article e0202705. doi:10.1371/journal.pone.0202705 ISSN 1932-6203 (2018) [Refereed Article] |
| Ali, M and Ali, R* and Khan, WA* and Han, SC* and Bang, J* and Hur, T* and Kim, D* and Lee, S* and Kang, BH, “A data-driven knowledge acquisition system: an end-to-end knowledge engineering process for generating production rules”, IEEE Access, 6 pp. 15587-15607. doi:10.1109/ACCESS.2018.2817022 ISSN 2169-3536 (2018) [Refereed Article] |
| Ali, M and Bilal, HSM* and Razzaq, MA* and Khan, J* and Lee, S* and Idris, M* and Aazam, M* and Choi, T* and Han, SC and Kang, BH, “IoTFLiP: IoT-based flipped learning platform for medical education”, Digital Communications and Networks, 3 (3) pp. 188-194. doi:10.1016/j.dcan.2017.03.002 ISSN 2352-8648 (2017) [Refereed Article] |
| Conference Publication |
|---|
| Ali, M and Lee, S* and Kang, BH, “An IoT-based CBL methodology to create real-world clinical cases for medical education”, Proceedings from the 8th International Conference on ICT Convergence, 18-20 October, Jeju Island, Korea, pp. 1038-1041. ISBN 9781509040322 (2017) [Refereed Conference Paper] |
* This author is not affiliated with the University of Tasmania.
Please note that publications for 2018 are subject to verification.