'If you could have as many data from the universe, what is the one question that you would ask?'Dr Muhammad Shahreeza is currently the Head of Department, Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya since April 2025. Concurrently he also oversees the planning, administration, deployment, and operation of AI programs offered at Yunnan-Malaya Institute, Yunnnan University, China. Dr Shahreeza received B.Eng. degree in Electrical, Electronics and Information Engineering from Nagaoka University of Technology, Japan, in 2007, and M.Sc. degree in Artificial intelligence and Ph.D. degree in computer science from the University of Southampton, Southampton, U.K., in 2013 and 2019, respectively. His core research focus is biophysics modeling, he also explores various neural network architectures. His interest includes applying probabilistic methods and ideas from machine learning to biological models to derive insights into the underlying design principles. The AI department is expanding at an incredible speed, as the AI field is getting a lot of attention in this decade. Hence we welcome those interested to join the department by submitting your applications to https://career.um.edu.my/  

Dr. Parvathi Wajindram is a Senior Lecturer at the Department of Indian Studies, University of Malaya. She holds a PhD in Social Science from the University of Malaya, a Master’s degree in Corporate Communication from Universiti Putra Malaysia, and a Bachelor’s degree in Media Studies and CommunicationDr. Parvathi Wajindram is a Senior Lecturer at the Department of Indian Studies, University of Malaya. Her research focuses on power, empowerment and gender in sociopolitical and cultural contexts, with particular attention to minority representation and leadership in multicultural societies. She examines the dynamics of power within political and community institutions, as well as the historical development of Indian diaspora communities across different national contexts. Her work also engages with modern Indian literature, particularly historical narratives, exploring how literary texts represent power, leadership, and gendered forms of empowerment. Through an interdisciplinary approach, her scholarship connects politics, history, literature, and cultural analysis in the study of postcolonial and multicultural societies

Dr. Muzalwana is a senior lecturer in the Department of Decision Science, Faculty of Business and Economics (FBEcons) (formerly known as the Faculty of Economics and Administration, FEA), where she has been serving since 2011. She holds a Ph.D. in Applied Statistics with a specialization in Statistical Quality Control (SQC) from the University of Malaya. She also earned her Master’s in Applied Statistics from FEA and a BA (Hons) in Business Management from Sheffield Hallam University, UK. As an applied statistician, Dr. Muzalwana’s research is inherently interdisciplinary, focusing on Statistical Quality Control, efficiency studies, and survey research. Her work extends SQC applications beyond manufacturing to domains such as environmental studies, efficiency measurement, and social science research. Dr. Muzalwana’s primary research interest lies in developing and applying statistical control schemes to analyze environmental variables in Malaysia. Her work includes the application of control charts to gain valuable insights into COVID-19 case trends in Malaysia and to monitor air quality patterns in compliance with the Malaysian Ambient Air Quality Standards. Other notable contributions include measuring the efficiency of higher education institutions with Data Envelopment Analysis (DEA), exploring retirement financial planning among civil servants, and examining the relationship between household income and life satisfaction among single mothers in Malaysia. Her recent publications include Pasaran Dadah dari Perspektif Socio-ekonomi Malaysia (The Malaysian Drug Market from Socio-Economic Perspectives) and an edited volume, Post-Pandemic Economic and Social Development: Recovery, Challenges, and Policy in Malaysia. These works contribute significantly to the social sciences and public discourse on critical societal challenges. A passionate educator, Dr. Muzalwana designed the course Statistical Methods for Quality Management for the Master’s in Applied Statistics program at FBEcons and has been teaching it since 2012. With over 20 years of teaching experience, she specializes in graduate-level courses in statistical quality management and marketing research techniques, as well as undergraduate courses in statistics and management decision-making. Dr. Muzalwana has supervised more than 50 Master’s students and 14 Ph.D. candidates over the past decade, playing a pivotal role in nurturing the next generation of scholars in her field.