Dr. Elayaraja Aruchunan is a Senior Lecturer in the Department of Decision Science, Faculty of Business and Economics, Universiti Malaya, working at the intersection of data science, numerical analysis, computational statistics, and ESG (Environmental, Social, and Governance). His academic career, spanning over 18 years, began in 2008 at Curtin University Malaysia. Strong early research earned him the Australian Government Scholarship in 2012 to pursue doctoral studies at Curtin University, Australia, where he completed his PhD in Mathematics and Statistics in 2018. He holds an MSc in Mathematics (2013) and a BSc (Hons) in Mathematics with Economics, both from Universiti Malaysia Sabah, and remained at Curtin until 2020 before joining Universiti Malaya.

His research tackles complex problems in big data analytics, predictive modelling, and applied mathematics, with particular depth in iterative numerical methods for integral and integro-differential equations, fractional-order epidemic modelling, and machine-learning-based forecasting. This work has produced a substantial publication record-more than 30 indexed journal articles, two books, over a dozen book chapters, and numerous international conference papers-appearing in outlets including Scientific Reports, PLOS ONE, AIMS Mathematics, Alexandria Engineering Journal, and Composites Part B: Engineering. He currently leads or co-investigates several funded projects, including the Universiti Malaya Research Excellence Grant, the Universiti Malaya Centre of Research Grant, and university-funded work on ESG and sustainability in Malaysia, smart inventory systems, and pandemic dynamics modelling.

As an HRD Corp-accredited trainer, Dr. Aruchunan translates this research into practical, industry-facing skills in big data, machine learning, and applied AI. His executive-education portfolio includes delivering a module of the Middle Management Development Programme for Panasonic Industrial Devices Malaysia Sdn Bhd, alongside Microsoft Excel and Power BI data-analytics training for public-sector and university audiences-work that consistently bridges academic theory and corporate practice.

His growing focus on sustainability is formalised through a Certified Sustainability Officer (CSO) credential from the Chartered Management Institute (CMI), UK, and is currently expressed in his work on carbon footprint evaluation and reporting methodologies supporting Malaysia's ESG and net-zero commitments. As an Affiliate Member of the Young Scientist Network under the Academy of Sciences Malaysia (YSN-ASM), he has served as Technical Advisor on national policy work, including the RMK13 (13th Malaysia Plan) education-reform study on key performance indicators for national education. He is also active in IEEE, PERSAMA, IAENG, and IACSIT; serves as an Editorial Board Member of Modern Intelligent Times; and was Academic Editor of the Asian Journal of Probability and Statistics (2022–2026). In 2026 he was appointed Adjunct Professor at Universitas Brawijaya, Indonesia-recognition that sits alongside Universiti Malaya's Certificate of Excellent Service (2026), the Faculty's Special Award (2024), the Best Researcher Award from the VDGOOD Professional Association (2023), and repeated Certificates of Excellence in Reviewing for international journals.

A committed mentor, he has guided doctoral and master's students through work ranging from fractional-order epidemic modelling to international trade economics, alongside numerous undergraduate research projects in statistics, applied mathematics, and data analytics. Through this combination of research depth, industry training, and policy engagement, Dr. Elayaraja Aruchunan continues to advance ESG analytics, AI-driven decision-making, and sustainable innovation-connecting rigorous academic inquiry to measurable impact across academia, industry, and society.