Personal profile

Biography

Ir. Dr. Manjeevan Singh Seera is an accomplished academic and industry professional specializing in machine learning, fraud detection, and sustainable energy solutions. He is recognized for driving innovation in education and applying machine learning to real-world challenges at Monash University Malaysia, making significant impacts in fraud detection and energy sustainability. His career encompasses a robust research portfolio with an h-index of 23, highlighting substantial scholarly contributions and effective team leadership. With extensive experience spanning both academic research and industry roles, he has held influential positions at Bank Negara Malaysia and Intel. As a Certified Professional Engineer (Malaysia) and Chartered Engineer (UK), he is committed to professional excellence and continuous development.

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
  • ETM5950 Data analytics for business

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 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

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

Award Date: 19 Sept 2012

External positions

Manager, Data Analytics, Bank Negara Malaysia

1 Sept 20181 Sept 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

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or