Manjeevan Singh Seera


Accepting PhD Students

PhD projects

The Social and Financial Impact of Financial Technology


Research activity per year

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Personal profile


Dr. Manjeevan Singh Seera is an Associate Professor in Business Analytics and the Deputy Head of School (Research, Engagement and Impact) at the School of Business, Monash University Malaysia. He completed his Ph.D. in Computational Intelligence from Universiti Sains Malaysia. He has published over 55 peer-reviewed journal and conference papers.

He has over 16 years of experience in both academia and industry. Prior to taking up his current position, he was Data Analytics Manager at Bank Negara Malaysia. He also has extensive experience in the electronic manufacturing industries, including Intel and Flextronics. Dr. Manjeevan research specialization is on machine learning principles and applications in finance and engineering. His recent research focus includes the design and development of advanced machine learning models for Fintech applications, particularly the detection and prediction of fraudulent financial transactions.

Research interests

My current research focuses on developing machine learning models for various applications.

  • Machine Learning
  • Data Analytics 
  • Financial Fraud Detection

Monash teaching commitment

  • ETW2500 Statistical Learning
  • ETW2001 Foundations of Data Analysis and Modeling

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

Computational Intelligence, PhD, Universiti Sains Malaysia (University of Science Malaysia)

Award Date: 19 Sep 2012

External positions

Manager, Data Analytics, Bank Negara Malaysia

1 Sep 20181 Sep 2020

Adjunct Research Fellow, Swinburne University of Technology, Sarawak

1 Oct 201631 Dec 2020

Research area keywords

  • Machine Learning
  • Predictive Modeling
  • Fraud Detection
  • Payment Cards


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