CURRICULUM VITAE

DR. ELAYARAJA A/L ARUCHUNAN

(PhD (Mathematics and Statistics) (Curtin Australia), MSc. Numerical Analysis, (UMS), BSc. Mathematics and Economics (UMS))
Dr. Elayaraja Aruchunan is a distinguished scholar, researcher, and industry expert specializing in data science for ESG (Environmental, Social, and Governance), applied machine learning, and computational analytics. With over 18 years of experience, he has made groundbreaking contributions to numerical analysis, computational applied statistics, and big data analytics, earning a reputation as a thought leader in the field. His academic journey commenced in 2008 at Curtin University Malaysia, where his exceptional research led to the prestigious Australian Government Scholarship in 2012, enabling him to pursue a PhD at Curtin University, Australia. Successfully completing his doctorate in 2018, Dr. Aruchunan continued his tenure at Curtin until 2020 before joining Universiti Malaya, where he currently serves as a senior lecturer in the Department of Decision Science, Faculty of Business and Economics. His work focuses on ESG data science, decision analytics, and AI-driven sustainability solutions, positioning him at the forefront of transformative research in these areas. Dr. Aruchunan’s expertise extends beyond academia into real-world problem-solving through advanced machine learning and deep learning applications. His research is dedicated to developing innovative algorithms and methodologies that address complex challenges in big data analytics, predictive modeling, and applied mathematics. His prolific contributions are widely recognized, with numerous high-impact journal publications, conference presentations, and research projects funded by national and international bodies. A passionate educator, Dr. Aruchunan is also an accredited HRD Corp trainer, conducting specialized training programs for government agencies and industry professionals. His training focuses on big data, data science, machine learning, and deep learning, equipping participants with cutting-edge skills in Python applications, data mining, and applied AI. His programs are meticulously designed to bridge academic theory and industry applications, empowering professionals with practical expertise in the evolving digital landscape. Beyond research and training, Dr. Aruchunan is committed to STEM education outreach and academic collaboration, mentoring postgraduate scholars, and engaging in knowledge-sharing initiatives with both local and international researchers. He is an active member of several esteemed professional bodies, including IEEE, PERSAMA, IAENG, and IACSIT, reinforcing his influence in the global data science community. In recognition of his outstanding contributions, Dr. Aruchunan was appointed to the prestigious Young Scientist Network by the Academy of Sciences Malaysia, a testament to his leadership in scientific research and his dedication to advancing Malaysia’s research capabilities. With an unwavering commitment to data-driven innovation, education, and sustainability, Dr. Elayaraja Aruchunan continues to shape the future of ESG analytics, AI-driven decision-making, and applied machine learning, leaving a profound impact on academia, industry, and society.
PROFILE
Address
Department of Decision Science, Faculty of Business and Economics Office of The, University of Malaya, 50603 Kuala Lumpur, Malaysia
Website
umexpert.um.edu.my/elayarajah
CONTACT
Telephone
03-79673650
Email
elayarajah
elayarajah
RESEARCH ID
QR Code
Orcid id
https://orcid.org/0000-0002-4629-0483
Researcher id
J-4663-2016
Scopus id
36154335700
ACADEMIC QUALIFICATION
Doctoral Degree (Phd), Mathematics, Curtin University, Australia, 2018
Master Degree, Mathematics, Universiti Malaysia Sabah (Ums), 2013
Bachelor Degree, Mathematics With Economics, Universiti Malaysia Sabah (Ums), 2007
PROFESSIONAL MEMBERSHIP/ FELLOWSHIP
Member, Affiliate Member of Young Scientist Network - Academy of Sciences Malaysia (Ysn-Asm), National
WORKING EXPERIENCE
RESEARCH ACHIEVEMENT
Research Areas
MACHINE LEARNING APPLICATIONS AND ANALYSIS IN PLASTIC WASTE MANAGEMENT, NUMERICAL ANALYSIS (Developing hybrid numerical algorithms, Computational Complexity Analysis)
H Index: 8.00
Total Journal Publication: 41
Sum of Citation: 373.00
Books: 0
Proceedings: 0
Research Grants: More than RM Two hundred and forty six thousand one hundred and fifty