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.

Dr. Ooi Kok Loang, LLM, CMIIA, CIA, is with the Department of Finance at the University of Malaya, renowned for his expertise in behavioural finance and capital markets. His professional journey includes significant roles as an auditor and business consultant at KPMG (Big 4 Audit Firms) and Deputy Dean at two prestigious private universities. Dr. Ooi holds a Master in Finance and a PhD in Behavioral Finance from Universiti Sains Malaysia, a Master of Laws (Business Law) from the International Islamic University Malaysia, and is a US Certified Internal Auditor. With a strong portfolio of publications and active contributions as a reviewer for top international SCI and Scopus-indexed journals, Dr. Ooi is keen to mentor passionate PhD students, offering a vibrant environment for research and academic excellence.

        LING Tau Chuan is a Professor at the Universiti Malaya.  Tau Chuan graduated from the Universiti Putra Malaysia with a Degree in Biotechnology and stayed on to undertake Master Environmental Engineering study. He then completed a PhD at the University of Birmingham, UK with Prof Andrew Lyddiatt looking into development of cost-effective proteins downstream processing techniques. Following graduation in 2002, Tau Chuan joined the Universiti Putra Malaysia as a lecturer.    Since joining the Universiti Malaya, Tau Chuan has established an internationally recognised research activity in proteins downstream processing and bioprocess engineering, funded by Government of Malaysia and industries.  Tau Chuan is a Fellow of the Institution of Chemical Engineers and a Chartered Engineer. He is listed in the UM Researchers Top 2% Scientists by Stanford University and was awarded the Young Asian Biotechnologist Prize 2017 from The Society for Biotechnology, Japan. He has served as a visiting professor for several universities including Nanjing Agricultural University, Tsinghua University, Xiamen University, Lund University, National Cheng Kung University, Canterbury University and Kobe University. Tau Chuan’s expertise is in bioseparation technology and bioprocess intensification. He is internationally recognised for innovative work on the development of new and/or improved bioprocess separation and analytical techniques. He is especially well known for his work on primary capture technology, notably for inventing the technique known as aqueous two-phase systems and continuing the advancement of this and other separation techniques for large-scale application in the biopharmaceutical and nutriceutical sectors, and for his contributions to the advancement of adsorbent design and Fluidised Bed Adsorption technology. His current research mainly focuses on bioseparation, bioprocessing, green chemistry, and bioprospecting of microorganisms for useful biomolecules.