Research output per year
Research output per year
Personal profile
Biography
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):
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 2018 → 1 Sep 2020
Adjunct Research Fellow, Swinburne University of Technology, Sarawak
1 Oct 2016 → 31 Dec 2020
Research area keywords
- Machine Learning
- Predictive Modeling
- Fraud Detection
- Payment Cards
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Credit card fraud detection using a hierarchical behavior-knowledge space model
Nandi, A. K., Randhawa, K. K., Chua, H. S., Seera, M. & Lim, C. P., 20 Jan 2022, In: PLoS ONE. 17, 1, 16 p., e0260579.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
An intelligent payment card fraud detection system
Seera, M., Lim, C. P., Kumar, A., Dhamotharan, L. & Tan, K. H., Jun 2021, (Accepted/In press) In: Annals of Operations Research.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile5 Citations (Scopus) -
Feature extension of gut microbiome data for deep neural network-based colorectal cancer classification
Mulenga, M., Abdul Kareem, S., Qalid Md Sabri, A., Seera, M., Govind, S., Samudi, C. & Mohamad, S. B., 2021, In: IEEE Access. 9, p. 23565-23578 14 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile2 Citations (Scopus) -
Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm
Seera, M., Tan, C. J., Chong, K. K. & Lim, C. P., 15 May 2021, In: Energy. 223, 22 p., 120009.Research output: Contribution to journal › Article › Research › peer-review
3 Citations (Scopus) -
Stacking and chaining of normalization methods in deep learning-based classification of colorectal cancer using gut microbiome data
Mulenga, M., Kareem, S. A., Sabri, A. Q. M. & Seera, M., 2021, In: IEEE Access. 9, p. 97296-97319 24 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile