The Research and Postgraduate Centre congratulates Tian Ruiyu (undergraduate), Hoy Zheng Xuan (master student), Assistant Professor Ts. Dr. Mong Guo Ren and Associate Professor Ts. Dr. Vincent Woon Kok Sin (corresponding author) from Department of New Energy Science and Technology, School of Energy and Chemical Engineering for their recent research article published in the Journal of Cleaner Production, an SCI Q1 journal with the latest impact factor of 11.1. 

The paper entitled Socio-economic correlation analysis and hybrid artificial neural network model development for provincial waste electrical and electronic equipment (WEEE) generation forecasting in China presents a hybrid model, Grey Artificial Neural Network, to forecast the WEEE generation of 31 province-level regions in China while evaluating the socio-economic analysis of seven WEEE types via Pearson correlation analysis. More than 70% of WEEE from province-level regions strongly correlates with the gross domestic product and the population, whereas some top WEEE-generating province-level regions (i.e., Tianjin and Shanghai) correlate weakly to moderately. Compared to 2019, it is projected that an additional 32.92 million units of WEEE will be generated by 2025, suggesting that China should build at least 15 extra recycling centers (14% more based on 2016) to handle the increased WEEE generation. This study provides policy implications for effective WEEE monitoring and collection systems to build resilient WEEE management.

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The article can be accessed at https://doi.org/10.1016/j.jclepro.2023.138076

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The application of Pearson correlation and grey artificial neural network for policy and strategy recommendations for resilient WEEE management in China.

Image	Tian Ruiyu: “During the final year of my undergraduate study, I was granted a remarkable opportunity to continue polishing my research findings which eventually led to its publication. Collaborating with my supervisor and fellow researchers was an enriching experience that has expanded my perspectives and refined my research abilities. I want to express my gratitude to my supervisor and collaborators for their continuous guidance, support, and expertise. The learning process is rewarding, and I will keep everything I learnt in my current postgraduate studies and future career.”
Image	Hoy Zheng Xuan: “The journey was arduous yet rewarding, revealing both my resilience and areas to grow. I extend my heartfelt gratitude to all involved for the invaluable opportunity to contribute to this enriching collaborative endeavor.”
Image	Ts. Dr. Vincent Woon is an Associate Professor and Head of the PhD Programme at XMUM New Energy Science and Engineering Department. With a passion for sustainability, his research focuses on carbon footprint analysis, life cycle assessment, solid waste recycling, green township and building development, as well as AI-predictive analytics and optimization in climate change. Since joining XMUM in 2019, he has received several international awards, including the Study of the U.S. Institutes (SUSI) for Scholars Program and YSEALI Academic Seminar Fellowship by the U.S. Department of State, CrossCulture Programme Fellowship by the German Federal Foreign Office, UNFCCC-GIR-CASTT Fellowship from U.N. Climate Change and GIR Korea, and First Prize of the Japanese Award for Outstanding Research on Development by the Global Development Network. He is the editorial board member and managing guest editor of several Web of Science and Scopus-indexed journals. He is also a Professional Technologist with the Malaysia Board of Technologists and a GreenRE Accredited Professional of the Real Estate & Housing Developers' Association Malaysia.