Associate Professor Manjeevan Singh Seera

Associate Professor

Department of Econometrics & Business Statistics

manjeevansingh.seera@monash.edu
603 5514 4931
Room 6-5-91

Dr. Manjeevan Singh Seera is an Associate Professor in Business Analytics at the School of Business, Monash University Malaysia. He completed his Ph.D. in Computational Intelligence from Universiti Sains Malaysia. He has published over 40 peer-reviewed journal papers and more than 10 conference papers.

He has over 15 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.

Academic Qualifications

Doctor of Philosophy
Institution Universiti Sains Malaysia
Year awarded 2012
Master of Engineering
Institution Universiti Tunku Abdul Rahman
Year awarded 2018
Bachelor of Science
Institution University of Sunderland
Year awarded 2007

Areas of Expertise

My current research focuses on developing econometric models to study innovation and sustainability of marginalized communities.  These research areas are aligned to national priority areas under Malaysia’s New Economic Model and Government Transformation Program.

1 Machine Learning
2 Data Analytics 
3 Financial Fraud Detection
4 Condition Monitoring
5 Decision Support

Teaching

Subject CodeSubject
ETW2500 Statistical Learning
ETW2001 Foundations of Data Analysis and Modeling

Book Chapters

* Za’in, C., Pratama, M., Prasad, M., Puthal, D., Lim, C. P., & Seera, M. (2018). Motor fault detection and diagnosis based on a meta-cognitive random vector functional link network. In Fault Diagnosis of Hybrid Dynamic and Complex Systems (pp. 15-44). Springer, Cham.
*Seera, M., Lim, C. P., & Watada, J. (2014). Understanding Product Features Using a Hybrid Machine Learning Model. In Industrial Applications of Affective Engineering (pp. 281-291). Springer, Cham.

Scholarly Journals

* Liu, Z., Loo, C. K., Pasupa, K., & Seera, M. (2020). Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling. Engineering Applications of Artificial Intelligence, 88, 103327.
* Ihsan, A. M., Loo, C. K., Naji, S. A., & Seera, M. (2020). Superpixels Features Extractor Network (SP-FEN) for Clothing Parsing Enhancement. Neural Processing Letters, 1-19.
* Anwaar, M., Loo, C. K., & Seera, M. (2019). Face image synthesis with weight and age progression using conditional adversarial autoencoder. Neural Computing and Applications, 1-13.
* Pourpanah, F., Lim, C. P., Wang, X., Tan, C. J., Seera, M., & Shi, Y. (2019). A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. Neurocomputing, 333, 440-451.
* Pourpanah, F., Wang, R., Lim, C. P., Wang, X., Seera, M., & Tan, C. J. (2019). An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing, 359, 139-152.
*Seera, M., Randhawa, K., & Lim, C. P. (2018). Improving the Fuzzy Min-Max neural network performance with an ensemble of clustering trees. Neurocomputing, 275, 1744-1751.
* Randhawa, K., Loo, C. K., Seera, M., Lim, C. P., & Nandi, A. K. (2018). Credit card fraud detection using AdaBoost and majority voting. IEEE Access, 6, 14277-14284.
* Masuyama, N., Loo, C. K., & Seera, M. (2018). Personality affected the robotic emotional model with associative memory for human-robot interaction. Neurocomputing, 272, 213-225.
* Nooralishahi, P., Loo, C. K., & Seera, M. (2018). Semi-supervised topo-Bayesian ARTMAP for noisy data. Applied Soft Computing, 62, 134-147.
*Seera, M., Lim, C. P., & Tan, S. C. (2018). A hybrid FAM‐CART model for online data classification. Computational Intelligence, 34(2), 562-581.
* Chin, W. H., Toda, Y., Kubota, N., Loo, C. K., & Seera, M. (2018). Episodic memory multimodal learning for robot sensorimotor map building and navigation. IEEE Transactions on Cognitive and Developmental Systems, 11(2), 210-220.
*Seera, M., Wong, M. D., & Nandi, A. K. (2017). Classification of ball bearing faults using a hybrid intelligent model. Applied Soft Computing, 57, 427-435.
* Islam, M. N., Seera, M., & Loo, C. K. (2017). A robust incremental clustering-based facial feature tracking. Applied Soft Computing, 53, 34-44.
* Obo, T., Loo, C. K., Seera, M., Takeda, T., & Kubota, N. (2017). Arm motion analysis using genetic algorithm for rehabilitation and healthcare. Applied Soft Computing, 52, 81-92.
* Masuyama, N., Loo, C. K., Seera, M., & Kubota, N. (2017). Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning. IEEE Transactions on Neural Networks and Learning Systems, 29(4), 1058-1068.
*Seera, M., Lim, C. P., Tan, K. S., & Liew, W. S. (2017). Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks. Neurocomputing, 249, 337-344.
* Islam, M. N., Loo, C. K., & Seera, M. (2017). Incremental clustering-based facial feature tracking using Bayesian ART. Neural Processing Letters, 45(3), 887-911.
* Nooralishahi, P., Seera, M., & Loo, C. K. (2017). Online semi-supervised multi-channel time series classifier based on growing neural gas. Neural Computing and Applications, 28(11), 3491-3505.
* Masuyama, N., Islam, M. N., Seera, M., & Loo, C. K. (2017). The application of emotion affected associative memory based on mood congruency effects for a humanoid. Neural Computing and Applications, 28(4), 737-752.
* Obo, T., Loo, C. K., Seera, M., & Kubota, N. (2016). The hybrid evolutionary neuro-fuzzy approach based on mutual adaptation for human gesture recognition. Applied Soft Computing, 42, 377-389.
* Chin, W. H., Loo, C. K., Seera, M., Kubota, N., & Toda, Y. (2016). Multi-channel Bayesian Adaptive Resonance Associate Memory for on-line topological map building. Applied Soft Computing, 38, 269-280.
* Liew, W. S., Seera, M., & Loo, C. K. (2016). Hierarchical parallel genetic optimization fuzzy ARTMAP ensemble. Neural Processing Letters, 44(2), 451-470.
*Seera, M., Lim, C. P., & Loo, C. K. (2016). Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning. Journal of Intelligent Manufacturing, 27(6), 1273-1285.
*Seera, M., Lim, C. P., Loo, C. K., & Singh, H. (2015). Power quality analysis using a hybrid model of the fuzzy min-max neural network and clustering tree. IEEE Transactions on Neural Networks and Learning Systems, 27(12), 2760-2767.
* Liew, W. S., Seera, M., Loo, C. K., Lim, E., & Kubota, N. (2015). Classifying stress from heart rate variability using salivary biomarkers as reference. IEEE Transactions on Neural Networks and Learning Systems, 27(10), 2035-2046.
*Seera, M., Lim, C. P., Loo, C. K., & Singh, H. (2015). A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring. Applied Soft Computing, 28, 19-29.
* Liew, W. S., Seera, M., Loo, C. K., & Lim, E. (2015). Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs. Applied Soft Computing, 27, 53-63.
*Seera, M., Lim, C. P., Liew, W. S., Lim, E., & Loo, C. K. (2015). Classification of the electrocardiogram and auscultatory blood pressure signals using machine learning models. Expert Systems with Applications, 42(7), 3643-3652.
*Seera, M., Lim, C. P., Tan, S. C., & Loo, C. K. (2015). A hybrid FAM–CART model and its application to medical data classification. Neural Computing and Applications, 26(8), 1799-1811.
* Ooi, H. L., Seera, M., Ng, S. C., Lim, C. P., Loo, C. K., Lovell, N. H., & Lim, E. (2015). Classification of Implantable Rotary Blood Pump States With Class Noise. IEEE Journal of Biomedical and Health Informatics, 20(3), 829-837.
* Loo, C. K., Liew, W. S., Seera, M., & Lim, E. (2015). Probabilistic ensemble Fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms. Neural Computing and Applications, 26(2), 263-276.
*Seera, M., & Lim, C. P. (2014). A hybrid intelligent system for medical data classification. Expert Systems with Applications, 41(5), 2239-2249.
*Seera, M., Lim, C. P., Nahavandi, S., & Loo, C. K. (2014). Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models. Expert Systems with Applications, 41(10), 4891-4903.
*Seera, M., & Lim, C. P. (2014). Transfer learning using the online Fuzzy Min-Max neural network. Neural Computing and Applications, 25(2), 469-480.
* Jain, L. C., Seera, M., Lim, C. P., & Balasubramaniam, P. (2014). A review of online learning in supervised neural networks. Neural Computing and Applications, 25(3-4), 491-509.
*Seera, M., & Lim, C. P. (2013). Online motor fault detection and diagnosis using a hybrid FMM-CART model. IEEE Transactions on Neural Networks and Learning Systems, 25(4), 806-812.
*Seera, M., Lim, C. P., Ishak, D., & Singh, H. (2013). Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model. Applied Soft Computing, 13(12), 4493-4507.
*Seera, M., Lim, C. P., Ishak, D., & Singh, H. (2013). Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors. Neural Computing and Applications, 23(1), 191-200.
*Seera, M., Lim, C. P., & Ishak, D. (2012). Detection and diagnosis of broken rotor bars in induction motors using the fuzzy min-max neural network. International Journal of Natural Computing Research, 3(1), 44-55.
*Seera, M., Lim, C. P., Ishak, D., & Singh, H. (2011). Fault detection and diagnosis of induction motors using motor current signature analysis and a hybrid FMM–CART model. IEEE Transactions on Neural Networks and Learning Systems, 23(1), 97-108.

Conference Proceedings

* Pratama, M., Angelov, P. P., Lu, J., Lughofer, E., Seera, M., & Lim, C. P. (2017, May). A randomized neural network for data streams. In 2017 International Joint Conference on Neural Networks (pp. 3423-3430). IEEE.
* Neoh, S. C., Tan, C. J., Seera, M., & Loo, C. K. (2016, October). Web-Based Career Path Model for Human Resource Management. In International UNIMAS STEM 9th Engineering Conference.
*Seera, M., Wong M. D., Nandi A. K. (2016, September) Hybrid intelligent model for classification of ball bearing faults, In Vibrations in Rotating Machinery. IMechE.
*Seera, M., Liew, W. S., & Loo, C. K. (2015, November). A Hybrid Model of Fuzzy ARTMAP and the Genetic Algorithm for Data Classification. In International Conference on Neural Information Processing (pp. 346-353). Springer, Cham.
*Seera, M., Lim, C. P., & Loo, C. K. (2014, November). Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model. In International Conference on Neural Information Processing (pp. 381-389). Springer, Cham.
*Seera, M., Lim, C. P., & Loo, C. K. (2014, November). Transfer Learning Using the Online FMM Model. In International Conference on Neural Information Processing (pp. 151-158). Springer, Cham.
*Seera, M., Loo, C. K., & Lim, C. P. (2014, October). A hybrid FMM-CART model for human activity recognition. In 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 182-187). IEEE.
*Seera, M., Lim, C. P., Loo, C. K., & Jain, L. C. (2014, July). Data Clustering Using a Modified Fuzzy Min-Max Neural Network. In International Workshop Soft Computing Applications (pp. 413-422). Springer, Cham.
* Tan, S. C., Lim, C. P., & Seera, M. (2014, January). An Online Transfer Learning RBF Neural Network for Cross-Domain Data Classification. In 6th KES International Conference on Intelligent Decision Technologies (pp. 210-218).
*Singh, H., Seera, M., & Abdullah, M. Z. (2013, August). Detection and diagnosis of broken rotor bars and eccentricity faults in induction motors using the fuzzy min-max neural network. The 2013 International Joint Conference on Neural Networks (pp. 1-5). IEEE.
*Singh, H., Seera, M., & Idin, M. A. M. (2012, December). Electrical energy audit in a Malaysian university-a case study. In 2012 IEEE International Conference on Power and Energy (pp. 616-619). IEEE.
*Seera, M., Lim, C., & Ishak, D. (2011, November). A Hybrid FMM-CART Model for Fault Detection and Diagnosis of Induction Motors. In International Conference on Neural Information Processing (pp. 730-736). Springer, Berlin, Heidelberg.
*Singh, H., Seera, M., & Ismail, A. P. (2010). Condition monitoring of electrical supply voltage quality to electrical machines using the RBF neural network. In 2010 IEEE International Conference on Power and Energy (pp. 312-317). IEEE.

Local Grants

Title Development of Cloud Computing for Big Data Analytics
Investigators Prof Loo Chu Kiong Dr Manjeevan Singh Seera
Funding Period 2015 – 2016
Funding Body/Organisation Collaborative Research in Engineering, Science and Technology (CREST)

Current Supervision

Student Siew Sim Chuah, Joyce
Title Retirement readiness in Malayisa: Challenges and Opportunities, PhD
Student Angelica Lim Kum Yee
Title A framework for the adoption of BDA in Malaysian Manufacturing SMEs, PhD
Student Kimberly Soh Sui Ling
Title The Role of Design Thinking Orientation in Strengthening Dynamic Capabilities, PhD
Student Nazirul Hazim A. Khalim
Title Hunting Unicorns in the Magic Forest: Innovation and Dynamic Capabilities of Start-ups, PhD
Student Chun Min Soo
Title Key drivers for Gross National Happiness: the perspective of Malaysia PhD
Student Li-Ann Hwang
Title The Role of ICT in enhancing the education development of children from marginalized communities, PhD

Completed PhD Supervision

Student Jie Ying Ewilly, Liew
Title Social Network Technology, Dynamic Capability and Creative Learning, PhD
Awarding University Monash University
Student Jeyanthi Thuraisingham
Title Efficacy of microfinance schemes in enhancing economic wealth of marginalized communities in a developing country: the case of Malaysia
Awarding University Monash University
Student N. Suppiah, Visvalingam
Title An Empirical Examination of Selected Factors Influencing Tacit Knowledge Sharing Behaviour in Organizations, PhD
Awarding University Monash University
Student Chin Chin, Wong
Title An Empirical Study of Consumers’ Perspectives on Mobile Advertising in an Emerging Market, PhD
Awarding University Monash University
Student Li-Ann Hwang
Title The Role of ICT in enhancing the education development of children from marginalized communities, PhD
Awarding University Monash University

Completed Hons Supervision

Student Eshan Chrysanthus Siriwardena
Title Innovation Capabilities and Econometrics
Awarding University Monash University
Student Hwang Li-Ann
Title Social Ties and Subjective Well-Being of University Students: The Role of Social Network Sites (BBusCom, Honours)
Awarding University Monash University
Student Nursultan Zhamgyrchiev
Title Personal & Social factors that Influence entrepreneurial intention and Orientation among University Students, (BBusCom, Honours)
Awarding University Monash University
Student Chua Jing Moon
Title The Key Determinants of Happiness: A Panel Data Approach (BBusCom Honours)
Awarding University Monash University
Student Priyanka Puri
Title Post Air Travel Tragedies: Factors Influencing Malaysia Airlines Brand Image and Behavioral Intention, (BBusCom Honours
Awarding University Monash University
Student Jie Ying Ewilly, Liew
Title Key Drivers of Social Network Services Adoption in a Developing Country: The case of facebook in Malaysia: (BBusCom Honours)
Awarding University Monash University
Student Lim Xi Roa
Title Performance of Initial Public Offerings in Malaysia, (BBusCom Honours), 2008
Awarding University Monash University
Student Yap Seong Yu
Title Adoption of Mobile Banking in the Klang Valley, BBusCom Honours, 2006
Awarding University Monash University

Local Award

Award Name Finalist (Outstanding, sustained teaching excellent), Private Education Excellence Awards
Awarding Body Koperasi Pendidikan Swasta Malaysia Berhad (Private Education Co-Operative Of Malaysia)
Year of award 2019
Project Title NA
Award Name Jeffrey Cheah Travel Grant for Southeast Asia Studies at Harvard University
Awarding Body The Jeffrey Cheah Institute on (JCI) Southeast Asia
Year of award 2015
Project Title Smart Learning Ecosystem to Leap-Frog to an Innovation-Driven and High Income Economy
Award Name Commendation from the Deputy Vice Chancellor (Education) for Teaching
Awarding Body Monash University Sunway campus
Year of award 2011
Project Title NA
Award Name Pro Vice Chancellor Award for Research
Awarding Body Monash University Sunway campus
Year of award 2010
Project Title MOF Project
Award Name Pro Vice Chancellor Award for Excellence (Teaching)
Awarding Body Monash University Sunway campus
Year of award 2009
Project Title Customization of Curriculum
Award Name Pro Vice Chancellor Award for Excellence (Research)
Awarding Body Monash University Sunway campus
Year of award 2009
Project Title Decomposing the Malaysian Aggregate Shocks Using the Bayesian State-Space Based Approach
Award Name Pro Vice Chancellor Award for Excellence (Teaching)
Awarding Body Monash University Sunway campus
Year of award 2008
Project Title Display of leadership and quality control of sessional staff through induction program and peer review

Events, Workshops & Trainings organized and/or conducted

* [2020] GDP Forecasting workshop (Jointly with Professor Mahendhiran Nair and Dr Akram Hasanov)
* [2020] “Graduate Research Seminar: How to Identify A Research Question” by Prof Marko, University of Magdeburg
* [2019] Internal Workshop on Introduction of Partial Least Squares Structural Equation Modelling (PLS-SEM) Workshop
* [2019] Mixed Methods Research Workshop by Prof Viswanath Venkatesh, University of Arkansas
* [2019] “High Dimension Time Series & “Am I a Data Scientist” Workshop (2019) by Prof Rob Hydman, Head of Department of Econometrics & Business Statistics, Monash University Australia
* [2019] Graduate Research Workshop: Advanced Issues In Partial Least Squares Structural Equation Modeling (PLS-SEM) by Prof Marko, University of Magdeburg
* [2019] “Short-And-Long Term Effects of Nonconsciously Processed Ambient Scents In A Servicescope Findings from Two Field Experiments” Research Seminar by Prof Marko, University of Magdeburg
* [2018] “Power of Statistics for Decision Makers: Patterns, Prediction and Prescriptive Analytics” Research Method Workshop. (Jointly with Prof Mahendhiran Nair and Dr Akram Hasanov)/
* [2018] R-Studio Workshop
* [2018] Two Day Time Series Econometrics: Unit Roots, Integration & Structural Breaks Workshop
* [2018] Multivariate Data Analysis workshop
* [2018] Introduction to R workshop
* [2016] Research Method Workshop by Prof Viswanath Venkatesh, University of Arkansas
* [2014 - 2015] Theory Development workshop 2014 by Prof Viswanath Venkatesh, University of Arkansas
* [2014] International Workshop on Mathematical Modelling for Application on “Big Data and the Power of Statistics for Decision Makers: Patterns, Predictions and Prescriptive Analytics”, Academy Sciences Malaysia. (Jointly with Prof Mahendhiran Nair, Dr Akram Hasanov, Dr Jason Ng and Ms Elsa Phung)
* [2009 - 2010] Computable General Equilibrium (CGE) Training Programs at Ministry of Finance. (jointly with Centre of Policy Studies (CoPS), Monash University Australia)

Invited:

*[2019] Session Chair, Contributed Paper Sessions of International Statistical Institute World Statistics Congress (ISI WSC)
*[2019] Panel Member, “First Step to Injection Moulding 4.0, Graduation Ceremony” by Malaysian Plastic Manufacturer Association (MPMA)
*[2019] Moderator, "Trailblazing Research @ Monash University Malaysia”
*[2018] Facilitator and Presenter, Newton Research Link Workshop
*[2018] Local Programme Committee (LPC) Member, International Statistical Institute World Congress (ISI WSC) 2019.
*[2018] Panel Discussant, “Clarity Not Confusion Leading Business Direction” at the “Fourth Leap 2018 Conference.
*[2017] Speaker, Statistical Methods Workshop – “Statistics in Public Policy”, The Malaysian Public Policy Competition (MPPC)
*[2017] Panel Speaker, Digital transformation & Talent at the Global Business Services Forum 2017
*[2017] Facilitator, Power Statistics for Decision Makers: Patterns, Prediction and Prescriptive Analytics Workshop
*[2014] Moderator, National Hindu Conference on Women Empowerment