Dayana Jalaludin is a senior lecturer at the Accounting Department, Faculty of Business and Economics, Universiti Malaya. Her teaching areas include management accounting (basic, intermediate, high level), integrated case study and social and environmental accounting. Her research focuses on behavioural accounting in management accounting, accounting education, auditing, corporate governance, and public sector.

Meor Faisal Zulkifli received his Bachelor’s degree in Mechanical Engineering from the University of Surrey, UK, and his Ph.D. in Engineering from Imperial College London. He is currently a Senior Lecturer at Universiti Malaya, Kuala Lumpur, specializing in power generation and machine learning applications. Meor Faisal Zulkifli has significant industry experience, having served as Project Leader and Principal Researcher at TNB Research, where he led multiple projects focused on improving the efficiency of gas turbine and coal-fired power plants using advanced technologies, including AI and machine learning. During his tenure at TNB Research, he successfully led 5 major projects that collectively amounted to more than RM 10 million. His expertise lies in fuels and combustion, clean energy, power plant operations, and AI integration. Meor Faisal Zulkifli is currently working on projects related to hydrogen/ammonia combustion for industrial gas turbines, coal combustion enhancement using chemical additives, and developing intelligent systems for optimizing power plant operations.

Hema Subramaniam is a Senior Lecturer in the Department of Software Engineering at the Faculty of Computer Science and Information Technology, Universiti Malaya. She holds a PhD in Software Engineering from Universiti Putra Malaysia (UPM), awarded in 2016, after completing her Master of Computer Science (Software Engineering) in 2010 and her BSc in Information Technology in 2006, both from Universiti Selangor.  Her niche research area centers on software systems evaluation and analysis, with a strong emphasis on software quality metrics, energy-aware methodologies, and human-centered evaluation frameworks. She focuses on developing innovative approaches to assess and optimize software maintainability, performance, and scalability, while integrating sustainability and usability into modern software engineering practices. Dr. Hema’s work spans static and dynamic analysis, complexity-based energy estimation for AI-driven systems, and cognitive load-based usability evaluation, particularly in real-time and accessibility-focused domains such as Brain-Computer Interfaces (BCIs). Through her publications and funded projects, she has contributed to advancing green software engineering, adaptive architectures, and intelligent evaluation models, translating theoretical frameworks into practical solutions that enhance reliability and inclusivity in software systems.