Students from Xiamen University Malaysia have received a total of 5 awards at the 9th China International College Students’ Internet+ Innovation and Entrepreneurship Competition, including 1 Silver Prizes and 4 Bronze Prizes.
This competition is organised by the Ministry of Education of the People’s Republic of China and is one of the largest student innovation and entrepreneurship competitions in the global Chinese community. This competition aims to provide a platform for students to showcase their achievements and for young talents and startups worldwide to exchange and learn from each other.
Silver Prize-Winning Project:
Temperature-sensitive Neurons Based on Semiconductor Ceramic Material Technology
Team leader: Wan Linyi (Electric and Electronic Engineering)
Team members: Yong Yiee Chuen (International Business), Cheng Yuan (Electrical and Electronics Engineering), Wang Yancheng (Computer Science and Technology), Zhu Junwei (Mathematics and Applied Mathematics), Lin Muyue (Digital Media Technology), Yang Kangyu (Digital Media Technology), Ren Yining (International Business), Han Wei (Traditional Chinese Medicine), Ou Shiyue (Mathematics and Applied Mathematics), Tao Cheng (Finance), Li Songru (Electrical and Electronics Engineering), Huang Yize (Accounting)
Advisor: Prof. Guo Hang (Xiamen University, China)
Description: With the continuous development of technology, thermistor chips play a crucial role as key sensing components in various fields. In this competitive market, the outstanding performance and wide applicability of our product will meet the demands of the application end, enhancing the product value at the application end.
Bronze Prize-Winning Projects:
BykBuy - Malaysia's First Rider-Friendly and AI-Powered Full-Chain Solution for On-Demand Retail
Team leader: Chen Kai (Journalism)
Team members: Chen Xunpeng (Computer Science and Technology), Chen Xunkai (Maynooth University), Xu Sijia (Journalism), Lin Yunuo (Computer Science and Technology), Cai Zhidan (Accounting), Niu Zehui (Journalism), Jiang Minghao (Universiti Kebangsaan Malaysia)
Advisors: Dr. Mailasan a/l Jayakrishnan (School of Computing and Data Science), Dr. Anas Afandi bin Dato' Ahmad Apandi (School of Economics and Management), Loh Fu Quan (Computer Science and Technology)
Description: BykBuy provides a full-chain solution for Malaysian on-demand retail. It extends to warehousing & picking for synergistic fulfillment; Eliminates platform commissions to ensure fair earnings; Integrates mature technology for order assignment, supply-demand balancing and intelligent infrastructure.
Maiko Disaster Relief UAV-SAR Based on Pulse Compression
Team leader: Fang Shixin (English)
Team members: Li Haoyang (Data Science), Chen Jiayi (Advertising), Zhu Guo (Digital Media Technology), Lin Yunuo (Computer Science and Technology), Li Jiayin (International Business), Xiong Weitao (Computer Science and Technology), Xiao Shuxin (Finance), Huang Xueyan (Mathematics and Applied Mathematics), Cai Wei (Software Engineering), Chen Yanhao (Software Engineering), Yu Yifan (Digital Media Technology), Zhang Xiaoyuan (Accounting), Wu Tingyu (Advertising), Qiao Mu (Accounting).
Advisor: Dr. Chua Ming Yam (School of Electrical Engineering and Artificial Intelligence)
Description: Malaysia mainly has a tropical rainforest climate, with dense vegetation and sufficient water vapor. And there are many natural disasters such as heavy rains and mudslides. Our project uses the L-band SAR radar, which can better detect damage under clouds and tree canopies. Our project also has a C-band type, which is more adaptable and can be used in most scenarios.
Plant Pest Monitoring System
Team leader: Zhang Sitong (International Business)
Team members: Yu Yue (International Business), Zhao Luoting (International Business), Shen Hongming (Physics), Li Yuchen (Computer Science and Technology), Tao Yixiao (Computer Science and Technology), Li Yicheng (Computer Science and Technology), Wu Huilin (Physics), Zhang Xinyuan (Mathematics and Applied Mathematics), Zhen Boyuan (Marine Biotechnology)
Advisors: Dr. Chung Fei Fang (School of Physics and Mathematics), Dr. Yang Junjie (School of Economics and Management), Dr. Burra Venkata Durga Kumar (School of Computing and Data Science)
Description: Our project is a plant pest monitoring system targeting the current lack of accuracy in monitoring plant pests and diseases. The strength of the project is multi-modal fusion, which combines extracted audio features with visual features obtained from images to improve the accuracy of plant pest monitoring. It can provide data-driven insight and analysis for farmers, and experimental and observational support for researchers. The project targets mainly high economic value crops. Target customers include large-scale growers, vertical farms, greenhouse farms, and families growing precious plants.
Hard Carbon - Electrode Materials for Sodium Ion Batteries
Team leader: Zhang Chi (Chemical Engineering)
Team member: Woo Yun Le (Chemical Engineering), Yu Xinmin (Chemical Engineering), Lu Zhicheng (Computer Science and Technology), Ning Guokai (International Business), Jiang Xiaoxi (Accounting), Liu Kexuan (Finance), Wang Minyu (Digital Media Technology), Huang Hongyi (Electrical and Electronics Engineering), Xiao Shuxin (Finance), Yang Xinyan (Finance), Wu Minfeng (Artificial Intelligence)
Advisors: Prof. Wu Qihui (China), Ms. Sun Qi (China), Dr. Chen Wen (China), Dr. Fu Jile (School of Energy and Chemical Engineering)
Description: To reduce carbon emissions, countries around the world are making great efforts to realize the transition from fossil fuels to new energy sources. As an energy storage device, batteries are very important in the development of new energy. Our project proposes hard carbon as a sodium-ion anode material. This material can improve the efficiency of sodium-ion batteries and solve its shortcomings such as low cycle times and low energy density. Then our project also proposed a method to manufacture high-performance, low-cost sodium-ion batteries. After experimental testing, the material and manufacturing method have improved the capacity, charge and discharge efficiency of sodium-ion batteries, greatly increased the number of cycles, and extended battery life.