Obtained her Doctoral degree in literature from the Academy of Malay Studies, University of Malaya. She also possesses an MA in World Literature from the Faculty of Modern Languages and Communication, University Putra Malaysia and a BA in English language and literature from the International Islamic University Malaysia. Her areas of expertise include Postcolonial literature, mimicry, Malay identity, Malayness and Nationalism in Malay literature and Malaysian literature in English. She has also published articles on language studies, education and leadership skills. Her teaching experiences include foundation, diploma, degree, Intensive English Program, CALL and IELTS, TOEFL and MUET preparation courses. She has taught various courses such as English for academic purposes, Technical Writing, Mastering English, Listening and Speaking, Reading and Writing and English literature for IGCSE.

Dr. Sr Kho Mei Ye is a senior lecturer in the Department of Quantity Surveying, University of Malaya. She obtained her PhD from University Malaya in 2013. She has a Master Degree in Contract and Procurement and Bachelor Degree in Quantity Surveying from University of Malaya. Dr. Kho Mei Ye has worked as a consultant for a multinational construction company before she pursued her Master and PhD. She has worked and conducted research in several areas such as building commissioning, late payment, and project delay in construction. She has also been involved in many international and national conferences and workshops and has several journal publications to her name.

Dr. Adilah binti Abdul Ghapor is a Senior Lecturer at the Department of Decision Science, Faculty of Business and Economics, Universiti Malaya in Kuala Lumpur. She completed her Bachelor's Degree in Mathematical Statistics from Purdue University, Indiana, and obtained her Doctoral Degree from Universiti Malaya. Her research interest is in Statistical Modeling in Mathematical Sciences, focusing on Missing Values, Outliers, and Parameter Estimation. She also works on the application of statistics, which includes socio-economic impact assessment and issues related to the gig economy.