Dr. Muzalwana

Dr Muzalwana is a Senior Lecturer in the Department of Decision Science, Faculty of Business and Economics, Universiti Malaya (UM), where she has served the faculty since 2011. She holds a PhD and a master’s degree in applied Statistics from UM, specialising in Statistical Quality Control (SQC), and a BA (Hons) in Business Management from Sheffield Hallam University, United Kingdom.

As an applied statistician, her interdisciplinary research focuses on SQC, higher education efficiency measurement, and, most recently, value creation for graduate employability. Her work extends statistical quality-control methods beyond manufacturing to environmental monitoring. Her recent research includes using Multivariate Exponentially Weighted Moving Average (MEWMA) control charts to monitor air-quality patterns in Malaysia. She has also applied Data Envelopment Analysis (DEA) to evaluate the efficiency of higher education institutions. Her recent publications include A Hybrid AI–DEA Decision-Support Framework for Predictive Efficiency Analysis in Higher Education; Urban PM₁₀ Monitoring in Malaysia: A Statistical Framework for Process Stability and Capability Assessment; and AI-Powered Analytics for Sustainable Quality Enhancement: Repositioning Statistical Quality Control in a Dynamical Business World. Her books, Pasaran Dadah dari Perspektif Sosioekonomi Malaysia (The Malaysian Drug Market from Socio-Economic Perspectives) and the edited volume Post-Pandemic Economic and Social Development: Recovery, Challenges, and Policy in Malaysia, further contribute to scholarly and public understanding of important socioeconomic issues.

Dr Muzalwana has more than 25 years of teaching experience, including ten years at a private college, before joining UM. She has taught undergraduate statistics and management decision-making, as well as postgraduate courses in statistical quality management and marketing research. In 2012, she developed Statistical Methods for Quality Management, which remains an elective course in the Master of Applied Statistics programme. She has supervised more than 50 Master’s students and 14 PhD candidates, contributing actively to the development of emerging researchers.