DR. ELAYARAJA A/L ARUCHUNAN
Department of Decision Science
Faculty of Business and Economics
elayarajah@um.edu.myView CV | |
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Biography | |
Dr. Elayaraja Aruchunan is a distinguished academic professional boasting over 15 years of expertise in numerical analysis, computational applied statistics, and machine learning. Embarking on his distinguished research journey at Curtin University Malaysia from 2008-2012, he received a prestigious scholarship from the Australian Government in 2012, catapulting him into the pursuit of a doctoral degree at Curtin University in Australia. Following the completion of his doctorate, Dr. Aruchunan continued his academic pursuits at Curtin University before joining the University of Malaya in 2020. Presently, he serves as a faculty member in the Department of Decision Science within the Faculty of Business and Economics. Dr. Aruchunan's research interests are broad and include the development of innovative algorithms and methodologies aimed at solving intricate real-world challenges. He has made noteworthy contributions to the fields of machine learning, big data analytics, and applied mathematics, with his research being featured in esteemed academic journals and conferences. His scholarly endeavors have garnered research funding from both domestic and international sources. Beyond his research endeavors, Dr. Aruchunan is a dedicated educator and mentor. He oversees a group of postgraduate research scholars and imparts knowledge through teaching undergraduate and graduate courses in data science and machine learning. His commitment extends to outreach activities designed to promote STEM education among high school students. Advocating for collaboration and knowledge exchange, Dr. Aruchunan actively engages with researchers from both local and international institutions to advance the realms of data science and machine learning. He holds memberships in professional societies such as the IEEE and the Association for Computing Machinery. Dr. Aruchunan's remarkable contributions to the research landscape have rightfully established him as a leading expert in his field. As a highly respected academic and mentor, he remains fervently committed to making a positive impact on the world through his research and teaching endeavors. |
Publication
Finance
Project Title | Progress | Status |
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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 |
A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis
Identifying Multiple Outliers in Linear Functional Relationship Model Using a Robust Clustering Method
Thermocapillarity in Cross Hybrid Nanofilm Flow Past an Unsteady Stretching Sheet
Improvement of Time Forecasting Models Using Machine Learning for Future Pandemic Applications Based on COVID-19 Data 2020-2022
Efficient Iterative Approximation for Nonlinear Porous Medium Equation with Drainage Model
Thermal Analysis of VLSI System using Successive Over Relaxation (SOR) Method
Solution of Peak Junction Temperature with Crank-Nicolson and SOR Approach
Efficiency Evaluation of Half-Sweep Newton-EGSOR Method to Solve 1D Nonlinear Porous Medium Equations
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
Effects of the COVID-19 Pandemic on Gig Economy in Malaysia: An Application of ‘Tragedy of the Commons'
The Influence of Brand Loyalty and Perceived Quality on Consumer Buying Behaviour of Smartphones among Politeknik Kota Kinabalu Sabah, Malaysia Students.