Nam Ho-Nguyen

Nam Ho-Nguyen is a Senior Lecturer in the Discipline of Business Analytics at the University of Sydney Business School. He holds a PhD from the Tepper School of Business at Carnegie Mellon University and an Honours degree in Mathematics from the Australian National University. His research focuses on stochastic, robust, and data-driven optimization techniques for decision-making under uncertainty, combining methods from statistics, machine learning, and traditional optimization.

Education:

• PhD in Operations Research, Carnegie Mellon University (2019)
• Bachelor of Science (Honours) in Mathematics, Australian National University

Research Interests: Nam’s work addresses decision-making in uncertain environments through optimization frameworks. He explores applications in finance, healthcare, transportation, and technology, emphasizing scalability and computational efficiency. Key areas include bilevel optimization, adversarial machine learning, and distributionally robust chance-constrained programming.

Awards:

• INFORMS Optimization Society Young Researchers Prize (2022)
• Gerald L. Thompson Doctoral Dissertation Award (2019)
• Australian Research Council Discovery Early Career Researcher Award (DECRA) ($470K AUD)

Teaching & Grants:

• Teaches QBUS1040, QBUS2310, BUSS4932, and QBUS6820 courses.
• Recipient of ARC grants for research on multi-stage optimization with contextual data and forecast reconciliation ($625K AUD).
• Supervises research students on scheduling problems and multi-agent systems.

Lab/Team: His work involves collaborations on optimization tools for choice modeling, electronic trading, and solution design in IT services, supported by interdisciplinary teams at the University of Sydney and international institutions.