The Innovation and Entrepreneurship Centre congratulates 12 teams from Xiamen University Malaysia (XMUM) for bringing back 6 Silver Prizes, and 6 Bronze Prizes from the 2024 China International College Students’ Innovation Competition (CICSIC).

The 2024 China International College Students’ Innovation Competition is organised by the Ministry of Education of the People’s Republic of China. It is one of the largest global innovation competitions. This competition actively promotes international exchanges and cooperation to establish a global competition platform that combines innovation with praxis for college students. From 2017 to 2023, more than 30,000 international projects and 90,000 international college students from over 150 countries and regions participated in the competition.

Among the 12 awarded teams, 7 were also recognized in the 2024 Malaysia-China Youth Innovation Competition (MCYIC), organized by XMUM. As the MCYIC served as the Malaysia Division Contest for the CICSIC, these 7 winning teams from MCYIC were further recommended to advance to the China International College Students’ Innovation Competition (CICSIC). They performed outstandingly, winning 3 silver prizes and 4 bronze prizes. For more details on the 2024 Malaysia-China Youth Innovation Competition, visit here: https://www.xmu.edu.my/2024/0715/c16257a488338/page.htm

CICSIC Silver Prize-Winning Project:

AquaRocket - Integrated Algal Health Monitoring and Subaquatic Sampling System using an Underwater Glider as a platform

Team leader: Li Boyue (Software Engineering)

Team members: Zeng Guimei, Lan Yichen (Software Engineering), Liu Jintao (Software Engineering), Bai Jianing (Marine Biotechnology), Vivian Foong Chee Yan (Marine Biotechnology), Wong Yuxin (Chemical Engineering, Pan Yuhan (Physics), Huang Xueyan (Mathematics and Applied Mathematics), Chen Ruijia (Accounting), Li Yahan (Accounting), Zhong Xipeng (Finance), Chia Ee Jie (Finance), Lee Jiawen (Mathematics and Applied Mathematics)

Advisor(s): Asst. Prof. Dr. Ng Chuck Chuan (China-ASEAN College of Marine Sciences), Dr. Tan Suh Nih (China-ASEAN College of Marine Sciences), Asst. Prof. Dr. Saif Kifah (School of Computing and Data Science), Prof. Han Lei (China-ASEAN College of Marine Sciences)

Description: AquaRocket is a sampling and monitoring system with an underwater glider as the mounting platform. It is committed to the use of equipment cruise dynamic monitoring and system model assessment and prediction, the risk of regional algae proliferation, and pollution early warning, to alleviate the problem of pollution control in the relevant areas. At the same time, through the intelligent organization and model processing of algae-related data, it provides data convenience and scientific assessment results for researchers and related organizations.

Leading the Way in Smart Identification and Control of Pest and Disease in Navel Oranges

Team leader: Luo Qiyuan (Computer Science and Technology)

Team members: Zhang Yueyang (Accounting), Qiu Yangchen (New Energy Science and Engineering), Liu Yijing  (Computer Science and Technology)

Advisor(s): Prof. Zhang Yine (China), Prof. Fan Guojing (China), Prof. Wang Tinghua (China), and Prof. Liu Caihui (China)

Description: The project focuses on leveraging artificial intelligence to develop an intelligent system for pest and disease identification and control in navel orange orchards. It aims to address challenges such as the diversity of pests, low algorithm accuracy, and difficulty in diagnosing early symptoms. Through innovative deep-learning models and collaboration with industry experts, the project achieves an accuracy rate of 98.53% in detecting navel orange-related pests and diseases and integrates its solutions into a user-friendly Android application. The system has been successfully trialed in some orchards in Ganzhou, providing significant benefits to local farmers and advancing sustainable agriculture.

Twilight's AI Companion - Bone Conduction Hearing Aids for Alzheimer's Prevention and Detection Based on Machine Learning

Team leader: Wu Yucan (Accounting)

Team members: Zhang Jing (Software Engineering), Xia Yuanqi, Liu Zhanyu (Accounting), Xu Hanyu (Accounting), Lin Yuetong (Computer Science and Technology), Ma Yunzheng (Accounting), Liu Hehua (Finance), Lin Ranzheng (Software Engineering), Li Meile (Finance), Tang Shuoyun  (Finance), Liu Zhenyu (Software Engineering), Ling Hanyi (Advertising)

Advisor(s): Dr. Daljit Kaur AP Pajen Singh (School of Economics and Management), Dr. Teo Bee Guan (School of Computing and Data Science), Dr. Liu Zhijie (China), Dr. Su Xiaojie (China)

Description: Twilight Tech Studio has launched an innovative bone-conduction hearing aid designed for the prevention and detection of Alzheimer's disease using advanced machine-learning technology. Combining expertise from China and Malaysia, the project addresses key healthcare challenges and is aligned with national initiatives such as Internet + Healthcare and Silver Economy. Our device can not only detect early signs of Alzheimer's through intelligent voice analysis but also provide cognitive stimulation to help delay cognitive decline. Other features include voice chat, navigation assistance, and a smart companion app for real-time monitoring, location tracking, and medical reminders. Targeting the elderly, caregivers, and people with hearing impairments, the solution aims to improve quality of life and provide timely medical support. With financial support from angel investors and a multidisciplinary team, we are committed to driving sustainable innovation in medical technology.

Oasis Pectin Fertilizer (MCYIC Gold Prize)

Team leader: Zhang Zhenhai (Digital Media Technology)

Team members: Li Zhan (Chemical Engineering), Feng Shengchi (Chemical Engineering), Liao Yi  (Chemical Engineering), Gao Jingqi (Chemical Engineering), Zheng Haoxiang (Digital Media Technology), Ma Qiyan (Accounting), Yang Yihan (Accounting), Zhang Linya (Accounting), Qiu Chenyi (Data Science), Li Tianyuan (Accounting)

Advisor(s): Dr. Yee Kian Fei (School of Engineering and Chemical Engineering), Prof. Dr. Zhang Ziding (China)

Description: It is an efficient and cost-effective controlled-release fertilizer made from durian biomass waste as raw material, using biochar synthesis and pectin extraction and encapsulation technology.

Next-Generation Detection for Dragon Fruit Disease via Improved YOLOv8: A Novel Approach (MCYIC Gold Prize)

Team leader: Xiao Yaxuan (Software Engineering)

Team members: Ouyang Yifan (Artificial Intelligence), Lei Luan (Software Engineering), Yan Jiachen (Journalism), E Quanling (Journalism), Wu Xinyi (Journalism), Huang Junhao (Software Engineering)

Advisor(s): Dr. Burra Venkata Durga Kumar (School of Computing and Data Science)

Description: DragonVision pioneers dragon fruit disease detection, utilizing AI, ML, and big data analytics. Our solutions ensure healthy growth, high yields, and sustainable development for growers worldwide. Through rigorous R&D, precise diagnosis, data analysis, and expert support, we drive innovation in the industry.

Marauder's Map (MCYIC Gold Prize)

Team leader: Wang Congpu (Software Engineering)

Team members: Zhai Fangrui (International Business), Li Boyue (Software Engineering), Lan Yichen (Software Engineering), Zhou Huibo (Computer Science and Technology), Zeng Weipeng (Software Engineering), Chen Zhihan (Accounting).

Advisor(s): Dr. Koo Chong Him (School of Foundation Studies), Jie Yufang (China), Ren Lianfeng (China)

Description: This project is an innovative product integrating IoT technology with machine learning, dedicated to constructing a comprehensive public safety protection system. Through innovative three-end communication, the product achieves key functions such as fire alarm, public crisis response, disaster victim positioning, and evacuation route planning, providing users with comprehensive security protection.

CICSIC Bronze Prize-Winning Project:

Maritime 5G Intelligent Inspection Robot

Team leader: Qiu Yangchen (New Energy Science and Engineering)

Team members: Luo Qiyuan (Computer Science and Technology)

Advisor(s):  Prof. Chen Peng (China), Assoc. Prof. Chen Erkang (China), Shen Zhiwei (China)

Description: The Maritime 5G intelligent inspection robot project aims to develop and apply advanced underwater robot technology to meet the needs of Marine resources development, Marine scientific research, and offshore wind farm operation and maintenance. The project relies on the underwater robot industry development policies of Portugal, the United Kingdom, Germany, and other countries, and is committed to the research and development of 5G underwater remotely operated robots (ROV) with autonomous inspection capabilities to improve the operation and maintenance efficiency and safety of offshore wind farms.

Automated AI Epileptic Focal Point Localisation System

Team leader: Lyu Yaxing  (Artificial Intelligence)

Team members: Chen Yuxuan (Journalism), Liu Mingxin (Computer Science and Technology), Zhang Sijia (Finance), Zhang Siyu (Computer Science and Technology), Wang Hanqi (Journalism), Cao Rui (Marine Environmental Chemistry), Yap Weiherng (Artificial Intelligence), Duan Shujie (Artificial Intelligence), Huang Jiawen (Chinese Studies), Lee Sintian (Artificial Intelligence).

Advisor(s): Asst. Prof. Goh Sim Kuan (School of Electrical Engineering and Artificial Intelligence), Lim Kheng Seang (University Malaya), Prof. Wang Han (School of Electrical Engineering and Artificial Intelligence), Dr. Faizah Shahudin (School of Economics and Management)

Description: EpilepsyDiagnoser is an advanced epilepsy-focus localization system designed to enhance the precision and efficiency of epilepsy diagnosis and treatment. The project aims to be implemented in Malaysia, leveraging cutting-edge technology to accurately identify epileptic foci. By combining advanced imaging techniques, data analytics, and machine learning algorithms, the system provides healthcare professionals with actionable insights to optimize treatment plans. EpilepsyDiagnoser aspires to revolutionize epilepsy management, offering hope to patients and contributing to the advancement of medical technology in the region.

Ecoflow: Gas Source Tracking Device based on Fluid Dynamics and Big Data Analysis (MCYIC Silver Prize)

Team leader: Song Jinhua (Artificial Intelligence)

Team members: Zhou Haochen (Finance), Ong Zhe  (Electrical and Electronics Engineering), Peng Xiangyu (Artificial Intelligence), Woi Yi Kai (Electrical and Electronics Engineering), Huang Huayi (Chemical Engineering),  Goh Zhe Kai  (Electrical and Electronics Engineering), He Yanglingyu  (International Business), Fang Zitao  (Artificial Intelligence), Lin Yuqian (Software Engineering), Jiang Mingyue (Electrical and Electronics Engineering), Yuan Zhengzhuo (Finance), Xie Yuxuan (Artificial Intelligence).

Advisor(s): Assoc. Prof. Ban Zhen Hong (School of Energy and Chemical Engineering), Prof. Zhang Yingqian (School of Electrical Engineering and Artificial Intelligence), Asst. Prof. Abdul Khaliq Rasheed (School of Energy and Chemical Engineering)

Description: Gas Source Tracking Device based on Fluid Dynamics and Big Data Analysis, blends advanced chemistry and AI to pinpoint gas leaks with 98% accuracy, preempting explosions and safeguarding against significant losses and casualties. Its versatility spans residential safety to vital roles in industrial settings like oil and gas production.

Maiko Disaster Relief UAV-SAR Based on Pulse Compression (MCYIC Silver Prize)

Team leader: Fang Shixin (English Language and Literature)

Team members: Zhu Guo (Digital Media Technology), Xiao Shuxin (Finance), Qiao Mu (Accounting), Li Haoyang (Data Science), Zhang Xiaoyuan (Accounting), Huang Xueyan (Mathematics and Applied Mathematics), Chen Jiayi (Advertising), Lin Yunuo  (Computer Science and Technology), Cai Wei (Software Engineering), Li Jiayin (International Business), Yu Yifan (Digital Media Technology), Chen Yanhao (Marine Biotechnology), Wu Tingyu (Advertising), Pan Xinyang (English Language and Literature).

Advisor(s): Dr. Chua Ming Yam (School of Electric Engineering and Artificial Intelligence)

Description: Malaysia mainly has a tropical rainforest climate, with dense vegetation and sufficient water vapor. 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.

Smart Shirts (MCYIC Bronze Prize)

Team leader: Miyamoto Ayumu (Advertising)

Team members: Fong Li Qing (International Business), Wang Ye (Digital Media Technology)

Advisor(s): Dr. Burra Venkata Druga Kumar (School of Computing and Data Science), Ts. Dr. Teh Jia Yew (School of Computing and Data Science)

Description: A smart clothing that is eco-friendly with accurate health monitoring sensors to monitor heart rate, muscle activity, and stress level and a built-in personalized AI prediction model.

WisdomSort AI Automated Classification Garbage Bin (MCYIC Bronze Prize)

Team leader: Lei Yinghe (Finance)

Team members: Luo Qiyuan (Computer science and technology), Loh Fu Quan (Computer science and technology), Ouyang Yifan (Artificial Intelligence), Wu Yueyongqi (Journalism), Gao Zhenyao (Digital Media Technology), Liao Xinling (Finance), Yang Yuhan (Finance), Deng Ruizhi (Digital Media Technology), Luo Yingjie (Software Engineering).

Advisor(s): Prof. Dr. Zheng Jincheng (Innovation and Entrepreneurship Centre), Dr. Tan Yeng May (School of Economics and Management), Asst. Prof. Goh Sim Kuan (School of Electrical Engineering and Artificial Intelligence)

Description: The WisdomSort AI Automated Classification Garbage Bin leverages artificial intelligence and cloud-based image recognition to intelligently sort waste. Analyzing trash data through big data, it provides insights into waste generation patterns across different times and locations within a shopping mall. This analysis serves as a barometer of consumer activity, offering valuable information on foot traffic and mall consumption trends. The system automatically sorts waste, alerts users with voice prompts, and allows for real-time monitoring, enhancing waste management efficiency and providing valuable data for mall operators.