DR. ELAYARAJA A/L ARUCHUNAN
Department of Decision Science
Faculty of Business and Economics
elayarajahum.edu.myView CV | |
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Biography | |
Dr. Elayaraja Aruchunan is a distinguished academic and researcher with over 16 years of expertise in numerical analysis, computational applied statistics, and applied machine learning. His illustrious research journey began at Curtin University Malaysia (2008-2012), where he made significant strides that earned him a prestigious Australian Government scholarship in 2012. This opportunity led him to pursue his doctorate at Curtin University in Australia. After completing his Ph.D., Dr. Aruchunan continued his academic career at Curtin University until 2020, when he joined the Universiti Malaya. Currently, he is a faculty member in the Department of Decision Science within the Faculty of Business and Economics. His research interests span the development of innovative algorithms and methodologies to address complex real-world challenges, with notable contributions in applied machine learning, big data analytics, and applied mathematics. His work has been widely published in esteemed WoS journals and at prestigious conferences, attracting research funding from both domestic and international sources. Beyond his research, Dr. Aruchunan is a passionate educator and mentor, guiding postgraduate research scholars and teaching undergraduate and graduate courses in data science and machine learning. He is also committed to outreach activities promoting STEM education among high school students. An advocate for collaboration and knowledge exchange, Dr. Aruchunan actively engages with researchers from local and international institutions to advance data science and machine learning. He holds memberships in professional societies such as the IEEE, PERSAMA, IAENG, and IACSIT. Dr. Aruchunan's remarkable contributions have established him as a leading expert in his field, and he remains dedicated to making a positive impact through his research and teaching. |
Publication
Finance
Project Title | Progress | Status |
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ESG and Sustainability in Malaysia: Navigating the Challenges and Opportunities Ahead |
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new |
Hybrid Machine Learning Model To Build A Rigid Pedestrian Walkway Pavement From Plastic Waste |
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on going |
This information is generated from Research Grant Management System |
Intelligent System Design for the Solutions of Nonlinear Diffusion in the Two-Dimensional Porous Medium
Intelligent Application of Partial Least Square Algorithm in Developing Model of Fat Depth Measurement
Intelligence Random Forest Application in Developing Regression Model from Lamb Carcass C-Site Fat Depth Data
New clusterization of global seaport countries based on their DEA and FDEA network efficiency scores
Intelligent Approximation for Climate Differential Equations
Intelligent LASSO Regression Modelling for Seaweed Drying Analysis
Intelligent System Design for the Solutions of Nonlinear Diffusion in the Two-Dimensional Porous Medium
Effectiveness of Cooperative Learning Strategies in Improving Performance for Large Mathematics Classes
Effects of the COVID-19 Pandemic on Gig Economy in Malaysia: An Application of ‘Tragedy of the Commons'
The Solidarity Role of the “Fearless Cities” Initiative: A Lesson on the Malaysian E-Hailing Sector.
Consumer Behaviour in On-Demand Application-Based Gig Economy Operations-A Conceptual Framework
Numerical Investigation of Composite Simpson’s Second Rule in Solving Fourth-Order Integro-Differential Equations