Bilal Aslam

Bilal Aslam is a Lecturer in Finance at the Faculty of Postgraduate Education of British University Vietnam (BUV), holding this position since 2024. He earned his PhD in Finance (2020–2024) and MSc in Economics and Finance (2017–2019) from Curtin University, Malaysia, with research focused on machine learning applications in capital markets and stochastic differential equations in finance. His academic foundation includes an MSc in Financial Mathematics (2014–2015) from the University of Sussex, UK, completed with Distinction.

• PhD (2020–2024): Curtin University, Malaysia. Thesis: Machine Learning in Capital Markets and Portfolio Optimization.
• MSc (2017–2019): Curtin University, Malaysia. Thesis: Weak Euler Methods for Stochastic Differential Equations with Applications in Finance.
• MSc (2014–2015): University of Sussex, UK. Qualification: MSc in Financial Mathematics (Distinction).

Bilal's research spans derivatives, portfolio management, and machine learning in finance. His recent publications examine algorithmic portfolio optimization and advanced statistical models for financial data analysis. While his work emphasizes computational finance, he also explores intersections with equity markets and risk management.

His academic contributions include grants from the Sarawak Digital Economy Corporation (SDEC) for deep-learning-based asset pricing and portfolio optimization projects, and funding from Curtin University's research fund for LSTM-driven portfolio decision systems. These grants highlight his focus on integrating machine learning with traditional financial methodologies.