Assistant Professor
SMaskari@su.edu.om Phone: +968 26850116 Extn: 570 Location: Rustaq building, Office no: 002 |  |
- Ph.D. in Computer Science, University of Queensland, Australia, 2018.
- Masters in Information Technology, Queensland University of Technology, Australia, 2007
- Bachelors in Information Technology (Software & Data communication), Queensland University of Technology, Australia, 2006
- Datamining
- Pattern Recognition
- AI, Robotics
- Software Development
- Mobile Applications
- Big Data
- Datamining
- Robotics
- Machine Learning
- Artificial intelligence specifically in machine olfaction, sensor data and environment monitoring
- Information Security
- Virtual Reality
- Social Computing
- Al-Maskari, S., Ibrahim, I. A., Li, X., Abusham, E., & Almars, A. (2018, May). Feature extraction for smart sensing using multi-perspectives transformation. In Australasian Database Conference (pp. 236-248). Springer, Cham.
- Al Maskari, S., & Li, X. (2018). E-nose pattern recognition and drift compensation methods. In Electronic Nose Technologies and Advances in Machine Olfaction (pp. 38-57). IGI Global.
- Al-Maskari, S., Zia, K., Muhammad, A., & Saini, D. K. (2018, August). Impact of Mobility Mode on Innovation Dissemination: An Agent-Based Simulation Modeling. In International Conference on Simulation of Adaptive Behavior (pp. 3-14). Springer, Cham.
- Albarrak, A., Al-Maskari, S., Ibrahim, I. A., & Almars, A. M. (2018, November). Efficiently Mining Constrained Subsequence Patterns. In International Conference on Advanced Data Mining and Applications (pp. 3-16). Springer, Cham.
- Al-Maskari, S., Bélisle, E., Li, X., Le Digabel, S., Nawahda, A., & Zhong, J. (2016, April). Classification with quantification for air quality monitoring. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 578-590). Springer, Cham.
