Dr Mahassan Mamat is a Senior Lecture at the Biology Division, Centre for Foundation Studies in Science, University of Malaya, Kuala Lumpur. He completed his Doctorate, Master of Science and Bachelor of Science in University of Malaya. His core area of research field is in Comparative Neurobiology. His focus is on diversity and neuroanatomy of fish which involved morphology, neuroanatomy, immunohistochemistry, histology and brain topograhy using scanning electron microscope technique. Involved in administrative works as a Deputy Director (Academic), Head of Biology Division, Secretary and Treasury in residential college. Also, involved almost 11 years as Fellows in a residential college in UM (Sultan Nazrin Shah College (KK12), Bestari College (KK4) and Ungku Aziz College (KK11)) since 2002 until 2017.

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. Hazwan Ariff Hakimi is a poetic architect and academic whose career bridges architectural history, theory, and practice. With a PhD in Architecture (Graduate on Time with Excellent Thesis) from Universiti Kebangsaan Malaysia (UKM) and a Master of Arts in Architectural History (Distinction) from The Bartlett, University College London (UCL), he embodies a rare synthesis of professional rigour and scholarly depth. His research delves into architectural historiographies, postcolonial theories, and the Islamisation of architecture in the Malay-Indonesian Archipelago. His scholarly works, including refereed journal articles and book chapters, have been widely recognised, earning him prestigious awards such as the UKM Excellent Thesis Award and the International Conference on Regional Architecture and Built Environment (seniBINA) Gold Award. Dr. Hazwan's interdisciplinary approach enriches the discourse on the intersection of traditional and modern architecture, literature, and philosophy. As a design architect, he has contributed to landmark projects such as the Rica Residence in Kuala Lumpur, Malaysia and the City International Hospital in Ho Chi Minh City, Vietnam. He fosters critical thinking and innovative design in academia through courses like Architectural Theory and Philosophy, encouraging students to connect theoretical constructs with practical applications. Dr. Hazwan's dedication extends beyond the classroom. He is a registered member of professional bodies, including the Malaysian Institute of Architects (PAM), the Royal Institute of British Architects (RIBA), and the Historians of Islamic Art Association (HIAA), actively contributing to architectural and cultural dialogues. His editorial roles and jury appointments reflect his commitment to advancing the field and nurturing emerging talents. An advocate for collaboration, Dr. Hazwan invites potential research partners and postgraduate students to join him in exploring the nuanced narratives of architecture and its cultural contexts. His vision lies in integrating theoretical frameworks with sustainable practices to address contemporary urban challenges, shaping a built environment rooted in history yet responsive to the future.