Dr. Woon Kai Lin obtained his PhD in University of Hull in photonic liquid crystal. After graduation, he worked as a postdoc in electroluminescent liquid crystalline light emitting display capable of producing 3D image funded by a start-up company and venture capitalists. He also spent a year as a Postdoc in Oxford University to study whether photonic crystals in nature can be adopted for industrial application. Later, he returned to Malaysia to work as OLED (organic light emitting diode) materials and device specialist under OSRAM. The project initially focussed in passive matrix OLED display and then later in OLED lighting using solution processable techniques. The works involved co-operation with well-known multinational companies such as Mercks, Sumitomo and Philips.  Later he joined University Malaya working in the field of organic electronics specializing in organic light emitting diode. The works including leading cost effective  synthesis of organic semiconducting materials for lighting application, interfacial physics and fundamental mechanism of high performance OLED, accurate computation of OLED materials, organic field effect transistors and phototransistors.  Some of the works carried out in the University of Malaya involves co-operating with various universities in the world, domestic and overseas start-ups and local SMEs. He is actively filing patents in the field of organic electronics.The ultimate aim is to enhance the performance to price ratio for organic electronics by investigating and optimizing critical parameters and mechanism in organic devices using various analytical and processing tools available domestically and internationally including the use of synchrotron facilities.He is also the  material science program co-ordinator setting new undergraduate Material science lab and program. Material Science under Physics department has been ranked the best in Malaysia and Faculty of Science.

I earned my PhD in Chemistry and a Master’s degree in Material Chemistry from Universiti Malaya, and hold a Bachelor’s degree in Biomedical Science (Honours) from the International Islamic University Malaysia (IIUM). My research interests center around ionic liquids synthesis and applications, biomass, and drug delivery systems, areas where I aim to explore innovative, sustainable solutions. As a member of the Chemistry Division at the Centre for Foundation in Science, Universiti Malaya, I’m particularly excited about the potential of ionic liquids in both environmental and biomedical applications. I believe these novel compounds could revolutionize various fields, from energy-efficient processes to drug delivery systems, by offering more targeted and efficient therapeutic solutions. My passion for drug delivery systems complements my broader research in ionic liquids and biomass, as it allows me to bridge chemistry with biomedical innovations that can improve healthcare outcomes. I’m deeply motivated to contribute to meaningful advancements that have a real-world impact and to collaborate with like-minded researchers in these exciting areas.

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.