Dr. Soon graduated with a Ph.D (Engineering) in Web Engineering from Soongsil University, Korea. Her main research interests include applied natural language processing and data management.  She teaches Databases, and Business Intelligence and Data Warehousing to both Masters and undergraduate students in Monash.  Beyond classroom, Dr. Soon is also the Associate Head (Graduate Research) of School of Information Technology since November 2018. 

Prior to her tenure at Monash University Malaysia, Dr. Soon served as a Senior Lecturer at the Faculty of Computing and Informatics (FCI) within Multimedia University (MMU). She held the esteemed position of Deputy Dean (Research and Innovation) of FCI, MMU from March 2016 to August 2018. 

To date, she has graduated seven Ph.D and three Master's students. One of the Master's student under her main supervision was awarded MMU Best Master Thesis Award in 2015.  

In addition to her university roles, Dr. Soon also lent her expertise as a Research Fellow at Telekom Malaysia R&D, where she contributed significantly to the call data records database optimization project.  Besides, Dr. Soon has conducted courses on Relational Database and NoSQL Database, enriching the skillsets of professionals beyond the academic realm.

My primary research interests encompass applied natural language processing (NLP) and data management. My research focuses on the analysis of domain-specific data and user-generated content within social media platforms.

I have a track record of successfully leading significant research endeavors, including two projects funded by the Fundamental Research Grant Scheme (FRGS) under the Ministry of Higher Education (MoHE) Malaysia in 2014 and 2017 (both with 10% application success rate nationwide). These projects delved into the intricate nuances of aspect-based sentiment analysis and cyberbullying detection respectively.  At present, I am leading a FRGS-funded project, which was approved in 2022.  The research project centers on advanced techniques for relation extraction from conversational texts.   Besides, I am also part of a dedicated team investigating misinformation on social media, with support from FRGS. Our collective efforts aim to combat the spread of misinformation and foster a more informed and responsible online community. 

Additionally, I've actively contributed to industry-funded research initiatives, collaborating with prominent entities such as Telekom Malaysia to develop sentiment analysis solutions, and Intel on knowledge graph generation for enhancing customer support systems.  Starting in 2021, my research portfolio expanded into the realm of digital health. I'm currently engaged in two noteworthy projects: one involves the creation of an emotion-aware mental health intervention chatbot with cultural adaptation while the other focuses on emotion detection using video-based data. These projects are pivotal in leveraging technology for mental health well-being.  Furthermore, I am proud to be part of a collaborative venture with the Action Lab at Monash University Australia and the South East Asia Community Observatory (SEACO), aimed at addressing open data access on public health surveillance data.

• FIT3171 / FIT2094 - Databases
• FIT3003 - Business Intelligence and Data Warehousing 
• FIT3161/FIT3162 - Computer Science Project
• FIT3163/FIT3164 - Data Science Project
• FIT5195 - Business Intelligence and Data Warehousing (MBIS)
• FIT9123 - Introduction to Business Information Systems (MBIS)