Biography

Dr Saif Kifah: Head of the Data Science Programme at the School Of Computing And Data Science. He has over 6 years of teaching experience at Xiamen University Malaysia. He has more than 10 years of research experience in the field of combinatorial optimization problems and Meta-heuristics. His research interest extends to the field of machine learning and deep learning. He has several published research articles and some in the internationally renowned Journal of Information Sciences. 

Research Interest

Machine Learning. Deep Learning, Computer Vision, Pattern Recognition, Metaheuristic Algorithms, and Combinatorial Optimization Problems.

Educational Background

• PhD (Computer Science), University Kebangsaan Malaysia (2017)
• MSc (Information Technology & Computer Science), University Kebangsaan Malaysia (2011)
• BSc (Software Engineering), Mansour University Collage (2005)

Working Experience

• Assistant Professor, School of Computing and Data Science, Xiamen University Malaysia, Malaysia (2019 to present).
• Lecturer, School of Computing and Data Science, Xiamen University Malaysia. Malaysia (2017 to 2019).
• Research Assistant. (Information Technology & Computer Science, University Kebangsaan Malaysia, Malaysia (2012 το 2015).
• Project Manager Assistant. (Information Technology & Computer Science, University Kebangsaan Malaysia, Malaysia (2011 to 2012).
• Research Assistant, (Information Technology & Computer Science, University Kebangsaan Malaysia. Malaysia (2010 to 2011).

Research Experience

• Involved in designing an Artificial Intelligent system for a data mining project that is concerned with filtering data, enhancing search quality and avoiding information loss.
• Participate in leading a team to design a system for Jakim and other systems belonging to the school of computer science.

Current Research

• Dynamic Patient Admission Problems: Model and Solution Approach. Artificial Intelligence In Medicine.
• Pareto-based Adaptive Great Deluge Algorithm for Multi-objective Patient Admission Problems. Swarm and Evolutionary Computation.
• Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V5. IEEE Canadian Journal of Electrical and Computer Engineering. 

Representative Publications

1. Improving the Classification Performance of Asphalt Cracks after Earthquake with a New Feature Selection Algorithm, IEEE Access (2024). (Q1)
2. An adaptive non-linear great deluge algorithm for the patient admission problem. Information sciences. 295 (2015): 573-585. (Q1)
3. Solving Feature Selection Problem Using Intelligent Double Treatment Iterative Composite Neighbourhood Structure Algorithm. International Journal of Computational Vision and Robotics. 7.3 (2017): 255-275. (Q3)
4. Non-liner great deluge algorithm for handling nurse rostering problem. International Journal of Applied Engineering Research. 12.15 (2017): 4959-4966. (Q3)
5. Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo VS." 2024 International Conference on Advancements in Smart. Secure and Intelligent Computing (ASSIC). IEEE, 2024.
6. Intelligent Double Treatment Iterative Algorithm for Attribute Reduction Problems. Computational Intelligence in Information Systems: Proceedings of the Fourth INNS Symposia Series on Computational Intelligence in Information Systems (INNS-CIIS 2014). Springer International Publishing, 2015.
7. Variable Neighbourhood Iterated Improvement Search Algorithm for Attribute Reduction Problems. Simulated Evolution and Learning: 10th International Conference. SEAL 2014, Dunedin. New Zealand, December 15-18, 2014. Proceedings 10. Springer International Publishing, 2014.
8. Book of abstracts (CAIT 2010). Published extended abstract in the first national doctoral seminar on artificial intelligence technology

Honors / Awards

• Outstanding publication award, University Kebangsaan Malaysia (2017)
• The 16th Chunhui Cup, Gold medal award. (2021)
• Blue Bridge Cup Competition (C/C++ competition), Xiamen University (2022)
• ICM Competetion award top 2.36% worldwide, Finalist. (2024)