About
Nurul Alam is a Lecturer in Accounting at the University of Sydney Business School. His research focuses on machine learning applications in finance and accounting, corporate distress prediction, and financial reporting. He holds a PhD from the University of Sydney, where he investigated machine learning models for US corporate bankruptcies. His teaching excellence has earned over 15 awards, including multiple Dean’s Citations and nominations for the Wayne Lonergan Award for Teaching Excellence.
Education
- Master of Commerce (Finance & Accounting), University of Sydney
- Bachelor of Business Administration (Finance & Banking), University of Rajshahi, Bangladesh
Research Interests
- Machine Learning and Deep Learning in accounting and finance
- Big Data analytics for corporate financial decision-making
- Accounting fraud detection mechanisms
- Financial reporting standards and regulations
Current Projects
- Corporate bankruptcy prediction using survival models and AI
- Deep Learning applications in panel data analysis for firm distress
- Machine learning variable selection in corporate finance
- Accounting fraud patterns among lower/mid-level employees
Teaching Contributions
- Financial Accounting B (ACCT3011)
- Quantitative Methods for Accounting (QBUS5002)
- Quantitative Business Analysis (BUSS1020)
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