The School of Computing and Data Science (SCDS) at Xiamen University Malaysia (XMUM) is proud to announce that five of its student-led teams have won Gold Awards at the 7th Malaysia-Japan International Conference on Nanoscience, Nanotechnology, and Nanoengineering 2026 (MJIC 2026) Virtual Innovation. 

The event was held from 23 to 25 January 2026 and was organized by Universiti Teknologi MARA (UiTM). MJIC 2026 is an international platform that brings together leading scientists, researchers, academicians, and industry professionals from around the world, with the aim of fostering meaningful scientific exchange and collaboration at the forefront of nanoscale science and technology.

HealTrack Smart Bandage, developed by Li Jiayin (IBU2209396), Liu Zehang (CST230959), and Goh Zhi Rong (CST2309673), provides a non-invasive solution for real-time chronic wound monitoring. It integrates carbon-nanotube nanosensors, embedded data analysis, and wireless alerts to track pH and temperature without removing dressings. The system improves diagnostic accuracy while reducing infection risk and caregiver workload.

Sheah Jinny (SWE2302062) developed an AI-assisted system for diagnosing skin pigmentation conditions. Using deep learning and enhanced image processing, it improves classification accuracy and efficiency. Nanoengineering concepts and superresolution models help reveal subtle pigmentation details.

Lu Qi (SWE2309528) and Kang Yujing (SWE2309517) designed a Smart Senior-Friendly Bathtub to enhance safety and comfort for elderly users. It features anti-slip structures, built-in seating, and AI-powered monitoring. Nanomaterials improve hygiene, durability, and overall user protection..

The fourth project, Nanoscience-Enabled Smart Streetlights: Solar and Wind Energy Integration, by Wang Wenjing (DMT2309240), Lu Yuhao (CST2309162), and Cheng Fan (CST2309141), integrates solar and wind energy to achieve energy autonomy. By combining a small horizontal-axis wind turbine with dual adjustable solar panels, the system The system ensures stable performance under varying weather conditions. Nanotechnology enhances the efficiency of solar cells and turbine components for reliable lighting.

Zhao Zheng (CST2209182) introduced the FlexiMed Real-Time Desk System, an AI-driven healthcare monitoring solution. It automates X-ray analysis and report generation using deep learning and NLP. The system reduces diagnostic delays and improves access to timely care.

These projects were guided by advisors and mentors Dr. Zamratul Asyikin Bini Amran, Dr. Teh Jia Yew, Dr. Mohammed N. M. Ali, and Dr. Burra Venkata Durga Kumar, who provided expert supervision and guidance throughout the development process. 

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