Young Ceramics Networks
YCN Representative - Malaysia
Nurul Akidah Baharuddin
YCN representative for Malaysia
Associate Professor and Researcher at the Fuel Cell Institute, National University of Malaysia
I am Akidah, an Associate Professor and Researcher at the Fuel Cell Institute, National University of Malaysia. My passion lies at the intersection of advanced ceramics and sustainable energy, specifically in the development of Solid Oxide Fuel Cells (SOFC). Throughout my academic journey, I have focused on creating high-performance, cost-effective materials. My PhD work, which earned the Excellent Thesis and GOT Award, specialized in fabricating cobalt-free, perovskite-structured ceramics to improve fuel cell efficiency. To date, I have contributed to over 65 indexed journal publications and led various high-impact research grants, including projects on perovskite-based catalysts and rare earth sources for green energy.
I believe that the future of ceramics depends on the energy and creativity of young scientists. I am also an Affiliate Member of the Young Scientists Network-Academy of Sciences Malaysia. Beyond the lab, I am deeply involved in shaping the future of energy policy and technical standards in Malaysia. I have served as the Chairman of the Hydrogen Sub-working Group and currently hold the position of Vice-chair of the Green ICT Working Group for the Malaysian Technical Standards Forum. I have also represented Malaysia as a delegate at the International Telecommunication Union (ITU) in Geneva to discuss climate change and the circular economy.
As your representative in the Young Ceramists Network (YCN), I aim to foster a collaborative environment where young researchers can bridge the gap between fundamental ceramic science and real-world industrial applications. Let’s shape the future of materials together.
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Developing 3D-Printed Ceramic Cores for Aerospace Investment Casting
YCN Newsletter 33 - Expert opinion - Edgar Dutra Zanotto - UFSCar, Brazil
Artificial Intelligence in Glass Research and Development.
Machine learning (ML) is rapidly moving glass science from an empirical, trial-and-error discipline toward a predictive, data-driven field [1].
Information
Contact us for any information: youngceramists@ecers.org - We will respond to your inquiry as soon as possible!