Doreen Ying Ying Sim

Contact

• workRoom B1C17 Block B building
• work+6(03) 8924 8133
• Doreen.Sim@nottingham.edu.my
• https://www.nottingham.edu.my/ComputerScience/People/doreen.sim

Biography

Dr. Sim acquired her PhD in Machine Learning and Computational Intelligence from a local public university in Malaysia in the year 2018, M.Sc. degree in Business Information Technology from University of Portsmouth, United Kingdom in the year 2006 and B.Sc.(Honors) degree in Business Information Technology from University of Central England in Birmingham, United Kingdom in the year 2002. Dr. Sim also acquired a double major BSc degree in Medical Sciences, ie. in Pharmacology and Physiology, from University of Otago, Dunedin, New Zealand. Dr. Sim has around 15 years of lecturing and research experiences in tertiary education industry. For research publications, Dr. Sim has done certain researches in Human-Robot Interaction, i.e. part of Artificial Intelligence.

Expertise Summary

My main research interests embark in Machine Learning and Computational Intelligence.

Teaching Summary

Dr Sim has around 13 years of full-time lecturing experience in IT and Computer Science in the tertiary education industry.

Recent Publications

• DOREEN YING YING SIM, AHMAD IZUANUDDIN ISMAIL and CHEE SIONG TEH, 2022. Effective k-Means Clustering in Greedy Pre-pruned Tree-based Classification for Obstructive Sleep Apnea International Journal of Electrical and Electronic Engineering & Telecommunications. 11(3), 242-248
• DOREEN YING YING SIM, CHEE SIONG TEH and AHMAD IZUANUDDIN ISMAIL, 2020. Correlation Feature Selection Weighting Algorithms for Better Support Vector Classification: An Empirical Study Solid State Technology. 63(2s), 2794-2805
• DOREEN YING YING SIM, 2020. In: Redefining the white-box of k-nearest neighbor support vector machine for better classification Springer, Singapore. 157-167

• View all publications

• DOREEN YING YING SIM, AHMAD IZUANUDDIN ISMAIL and CHEE SIONG TEH, 2022. Effective k-Means Clustering in Greedy Pre-pruned Tree-based Classification for Obstructive Sleep Apnea International Journal of Electrical and Electronic Engineering & Telecommunications. 11(3), 242-248
• DOREEN YING YING SIM, CHEE SIONG TEH and AHMAD IZUANUDDIN ISMAIL, 2020. Correlation Feature Selection Weighting Algorithms for Better Support Vector Classification: An Empirical Study Solid State Technology. 63(2s), 2794-2805
• DOREEN YING YING SIM, 2020. In: Redefining the white-box of k-nearest neighbor support vector machine for better classification Springer, Singapore. 157-167