This tutor brings a profound understanding of traffic engineering, honed through ongoing PhD research focused on travel time reliability and traffic data analysis. With a Master’s in Civil Engineering emphasizing transport systems and modelling, they are well-equipped to help students grasp complex concepts in transportation studies. Their academic prowess is complemented by practical experience as a tutor, where they effectively communicated intricate transportation theories to university students.
Equipped with advanced technical skills including proficiency in Python, MATLAB, and AutoCAD, this tutor excels in breaking down analytical processes into understandable segments for learners. Their ability to utilise these tools was demonstrated in their role as a Research Assistant, where they collected and analysed data for significant projects related to electric vehicle demand forecasting and high-speed railway networks.
Fluent in both English and Mandarin, this tutor can bridge communication gaps, making learning accessible for a diverse student base. Their soft skills set includes leadership, teamwork, and strong organizational capabilities—essential traits that facilitate an interactive and structured learning environment. These skills were not only essential during their tutoring roles but also enhanced collaborative research efforts throughout their academic career.