SMaskari@su.edu.om Phone: +968 26850116 Extn: 570 Location: Rustaq building
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Dr Sanad is an Assistant Professor at the Faculty of Computing and Information technology in Sohar University. He holds Ph.D. in machine learning and data mining from the University of Queensland, Australia. He holds a B.Sc. and M.Sc. from Queensland University of Technology, Australia. He is a program coordinator for the Business Information Technology program at the faculty. He is the chairman for the university Information Service Committee and acting member in university teaching and learning committee, Centre for Educational Development, and university ethics committee. With more than 10 years of experience in teaching and supervising undergraduate and postgraduate students, his major research interests lie in the fields of Artificial Intelligence (AI), Machine Learning, and Data Mining - specifically in Machine Vision, Machine Olfaction, Smart Sensing, and Deep Learning. His other research areas of interest include Education, Social Computing, and the Fourth Industrial Revolution.
- 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.
