DR. ELAYARAJA A/L ARUCHUNAN
Department of Decision Science
Faculty of Business and Economics
elayarajahum.edu.myView CV | |
Publons | |
Scopus Link | |
Biography | |
Dr. Elayaraja Aruchunan is a distinguished academic and researcher with over 18 years of expertise in numerical analysis, computational applied statistics, and applied machine learning. He began his career at Curtin University Malaysia in March 2008, where he made significant contributions that earned him a prestigious Australian Government scholarship in 2012. This opportunity enabled him to pursue his doctorate at Curtin University in Australia, which he successfully completed in 2018. Following the completion of his Ph.D., Dr. Aruchunan continued his academic journey at Curtin University until 2020, when he joined Universiti Malaya. He currently serves as a Senior Lecturer in the Department of Decision Science within the Faculty of Business and Economics at Universiti Malaya. Dr. Aruchunan's research interests focus on the development of innovative algorithms and methodologies to address complex real-world challenges. His notable contributions span applied machine learning, big data analytics, and applied mathematics. He has extensively published his work in high-impact journals and presented at prestigious conferences. His research has attracted substantial funding from both domestic and international sources, underscoring the importance and applicability of his work. Beyond his research, Dr. Aruchunan is a passionate educator and mentor. He guides postgraduate research scholars and teaches undergraduate and graduate courses in data science, machine learning, and related fields. He is an accredited trainer under HRD Corp, offering professional training in Python applications, data mining, applied machine learning, and big data. His training sessions are designed to bridge the gap between theory and practice, empowering professionals with cutting-edge skills in data science and analytics. Dr. Aruchunan is also deeply committed to outreach activities, particularly in promoting STEM education among high school students. He is an advocate for collaboration and knowledge exchange, actively engaging with researchers from local and international institutions to advance the fields of data science and machine learning. His professional affiliations include memberships in esteemed societies such as IEEE, PERSAMA, IAENG, and IACSIT. Recognized for his contributions to science and academia, Dr. Aruchunan has been appointed to the prestigious Young Scientist Network by the Academy of Sciences Malaysia. This honor highlights his role as a rising leader in scientific research and his commitment to advancing the nation's scientific capabilities. Dr. Aruchunan's remarkable achievements and dedication to his field have established him as a leading expert. Through his research, teaching, and professional development initiatives, he continues to make a positive and lasting impact in academia and beyond. |
Publication
Finance
Project Title | Progress | Status |
---|---|---|
ESG and Sustainability in Malaysia: Navigating the Challenges and Opportunities Ahead |
|
on going |
Hybrid Machine Learning Model To Build A Rigid Pedestrian Walkway Pavement From Plastic Waste |
|
end |
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 LASSO Regression Modelling for Seaweed Drying Analysis
Intelligence Predictive Model for Lamb Carcass C-Site Fat Depth Using Support Vector Machine
Intelligent System Design for the Solutions of Nonlinear Diffusion in the Two-Dimensional Porous Medium
Intelligence Random Forest Application in Developing Regression Model from Lamb Carcass C-Site Fat Depth Data
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