Marlia Mohd Hanafiah

Marlia Mohd Hanafiah is a Professor at the Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM). She is also a Head of Centre for Climate Change System, Institute of Climate Change, UKM. She received her Ph.D Degree in Life Cycle Assessment (LCA) from Radboud University Nijmegen, the Netherlands in 2013. She has supervised/co-supervised 60 masters and 22 bachelor theses and currently she supervises 30 PhD’s in the areas of LCA, wastewater treatment, green technology and sustainability. She is the coordinator of several postgraduate courses at her department. Her research projects focus on modelling potential environmental impacts of multiple stressors in an LCA context and exploring potential bio-based and nanomaterials for recycling and treating wastewater towards sustainability and circular economy. She has published over 90 peer-reviewed papers, books, books chapters, technical reports and serves as peer reviewer for several high impact journals. As a project leader, she has received several international and national grants from various funding agencies with a total amount of more that RM 2 million. Since 2013, she has been involved in consulting and reviewing Criteria Document and Standard for companies, organizations and governments. She is currently conducting transdisciplinary research with a strong interest that integrates various scientific disciplines such as environmental engineering, industrial ecology, toxicity, mathematical modelling and environmental science. Her ultimate goal is devoted to introduce Life Cycle Thinking as a holistic view to assess environmental performance of products and technologies to solve fundamental and unprecedented society challenges, especially those related to sustainability

Publications

Intelligent Systems and IoT Applications in Clinical Health
Intelligent Systems and IoT Applications in Clinical Health
Herat Joshi, C. Kishor Kumar Reddy, Mariya Ouaissa, Marlia Mohd Hanafiah, Srinath Doss. © 2025. 600 pages.
Integrating intelligent systems and internet of things (IoT) into clinical health is crucial for enhancing patient care and operational efficiency. These technologies enable...
Smart Education Systems Using the Internet of Behavior-Based Computational Intelligence
Smart Education Systems Using the Internet of Behavior-Based Computational Intelligence
M. Swathi Sree, C. Kishor Kumar Reddy, Marlia Mohd Hanafiah, Kari Lippert. © 2025. 24 pages.
Smart education systems are changing quickly thanks to the Internet of Behavior (IoB) and Computational Intelligence (CI). Innovating, personalised, and adaptive learning...
Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0
Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0
Archi Dubey, C. Kishor Kumar Reddy, Srinath Doss, Marlia Mohd Hanafiah. © 2024. 475 pages.
The healthcare industry is increasingly complex, demanding personalized treatments and efficient operational processes. Traditional research methods need help to keep pace with...
Climate Change Mitigation and Adaptation Strategies Enhanced by Intelligent Systems in Industry 6.0
Climate Change Mitigation and Adaptation Strategies Enhanced by Intelligent Systems in Industry 6.0
M. Swathi Reddy, C. Kishor Kumar Reddy, Marlia Mohd Hanafiah. © 2024. 28 pages.
Climate change is currently one of the most significant global concerns that we are confronting.Extreme weather events, rising sea levels, and global warming are already having...
A Study of Machine Learning Methods-Based Affective Disorders Detection Using Multi-Class Classification
A Study of Machine Learning Methods-Based Affective Disorders Detection Using Multi-Class Classification
Bhavya Tungana, Kishor Kumar Reddy C., Marlia Mohd Hanafiah, Srinath Doss. © 2023. 20 pages.
Psychological health issues like stress, anxiety and depression is becoming general due to various factors. Different severity levels of stress, anxiety and depression have...
An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning
An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning
Kishor Kumar Reddy C., Pullisani Satvika, Srinath Doss, Marlia M. Hanafiah. © 2023. 23 pages.
Recently, the increase in internal health problems in society has led to an increase in research on the development of mechanistic capacity models to detect or predict internal...