{"id":490210,"date":"2025-12-19T15:18:00","date_gmt":"2025-12-19T07:18:00","guid":{"rendered":"https:\/\/www.um.edu.mo\/news-and-press-releases\/campus-news\/detail\/62897-2\/"},"modified":"2026-01-02T16:24:16","modified_gmt":"2026-01-02T08:24:16","slug":"62897","status":"publish","type":"post","link":"https:\/\/www.um.edu.mo\/pt-pt\/news-and-press-releases\/campus-news\/detail\/62897\/","title":{"rendered":"Li Jinlong: An eight-year journey from student to mentor"},"content":{"rendered":"\n                        \n                        <div><div>Across eight years at the University of Macau (UM)\u2014from his undergraduate and master\u2019s studies to his current doctoral work\u2014Li Jinlong has developed into a versatile and forward\u2011thinking young scholar. He serves as a resident tutor (RT) guiding students in smart technologies, an entrepreneur creating AI\u2011driven learning tools, and a researcher working at the intersection of engineering and neuroscience. Rooted in computer science and drawing on fields such as the Internet of Things (IoT), brain\u2013computer interfaces (BCI), and intelligent education, Li has built an academic journey marked by both intellectual depth and a broad interdisciplinary vision.<\/div><div><\/div><div>Guiding students in unmanned technology<\/div><div><\/div><div>At Cheong Kun Lun College (CKLC), an \u2018unmanned technology team\u2019 brings together undergraduate engineering students from the Faculty of Science and Technology. United by a shared interest in smart technology, the team is led by Li, their RT and a second\u2011year doctoral student in electrical and computer engineering.<\/div><div><\/div><div>Li is a strong example of UM\u2019s interdisciplinary talent development. From his undergraduate studies in computer science to his master\u2019s specialisation in IoT and now his doctoral research in BCI and brain disease analysis, Li has steadily broadened his expertise. During the second year of his master\u2019s programme, he applied to become an RT at CKLC. \u2018Residential colleges are full of possibilities,\u2019 he says. \u2018They\u2019re not just places to live\u2014they\u2019re platforms that help students push their limits.\u2019<\/div><div><\/div><div>The unmanned technology team grew out of that spirit. The idea came from CKLC College Master Wong Man Chung, an engineering expert who is particularly interested in the social impact of unmanned technologies. Hoping to encourage collaboration across different years and majors, he proposed creating a platform where engineering students could learn from each other and build practical skills. That idea became the team.<\/div><div><\/div><div>As an RT, Li not only manages daily affairs at the college but also uses his technical background to guide and mentor students. He enjoys exploring real\u2011world AI applications with them, offering support and encouraging them to apply what they learn to solve practical problems. Naturally, he stepped into the role of mentor for the unmanned technology team. Under his guidance, students track industry trends, read research papers each week, and work on AI tools designed to improve everyday life on campus.<\/div><div><\/div><div>The team has already achieved notable results. Members created a WeChat chatbot called \u2018CKLC Smart Kunkun\u2019, an AI assistant that answers common questions and provides support during orientation, reducing the workload for college staff. The source code is open to all CKLC students, encouraging them to contribute ideas and improvements. Li is also leading the team to refine the chatbot\u2019s beta version by expanding its database and improving its features to make it more helpful and intuitive.<\/div><div><\/div><div>Another project in progress is the \u2018Smart Electricity Meter\u2019 system, developed to address students\u2019 laundry needs. Li teaches students about hardware integration, software development, and network communication, helping them gain hands\u2011on experience with device interconnection, data acquisition, and cloud\u2011based monitoring. The goal is to eventually let students check washing\u2011machine availability in real time on their phones\u2014making campus life more convenient.<\/div><div><\/div><div>Looking back on his mentoring experience, Li describes it as a two\u2011way learning process. Students\u2019 creativity often inspires him, and teaching helps him fill gaps in his own knowledge. For him, the AI tools developed by the team also embody UM\u2019s student\u2011centred approach to education.<\/div><div><\/div><div><\/div><div>Entrepreneurship in AI-powered education<\/div><div><\/div><div>After completing his undergraduate degree, Li did not head straight into the workforce. Instead, he chose to continue his studies by enrolling in UM\u2019s newly launched master\u2019s programme in the Internet of Things\u2014a decision he now sees as a turning point. By then, he had already built a solid foundation in programming, cybersecurity, web development, decentralised algorithms, and deep learning. His master\u2019s studies expanded his opportunities even further, giving him the chance to participate in projects at the State Key Laboratory of Internet of Things for Smart City. \u2018It happened right as ChatGPT was kicking off a new technological era,\u2019 he recalls. \u2018My research interests aligned perfectly with that moment.\u2019<\/div><div><\/div><div>Encouraged by his residential college, Li took part in UM\u2019s innovation and entrepreneurship competitions, where he met a senior student also majoring in computer science. Together, they formed a team and launched an intelligent education platform called \u2018RapiLearn AI\u2019, combining their technical strengths with real market needs.<\/div><div><\/div><div>RapiLearn AI is a personalised learning system that blends deep learning with human\u2013computer interaction. Available around the clock, it can analyse a student\u2019s learning progress, create customised study plans, and automatically generate exercises and materials\u2014offering a learning experience tailored to each user. The system is currently open to college students and has already helped improve study efficiency.<\/div><div><\/div><div>\u2018AI is changing the way we learn\u2019, Li says, noting how transformative these tools have become. \u2018In the past, studying often felt like doing everything on your own\u2014you had to process knowledge independently, and without taking the initiative, it was easy to miss useful resources. But now, through interaction with AI, knowledge is more accessible, and learning materials can adjust dynamically to each person\u2019s progress. That\u2019s what real personalised education looks like.\u2019<\/div><div><\/div><div>Li and his team continue to improve RapiLearn AI and are working to introduce it to more online communities. They hope to give more people access to innovative AI\u2011powered learning tools and help usher in a new era of personalised education.<\/div><div><\/div><div>Advancing the frontiers of BCI technology<\/div><div><\/div><div>Li\u2019s experiences at CKLC and his entrepreneurial projects helped shape his interdisciplinary strengths, but his doctoral research takes him into even deeper scientific territory. Questions he pondered as a child\u2014about consciousness, identity, and the possibility of some form of human eternity\u2014resurfaced as he began exploring the complexities of the brain. \u2018If consciousness could exist independently of the physical body, could humanity achieve a different form of eternity?\u2019 he once asked himself. These early curiosities eventually steered him towards brain science.<\/div><div><\/div><div>The technical foundation Li built during his undergraduate and master\u2019s studies proved invaluable as he transitioned into BCI research. His academic leap was guided by his doctoral supervisor, Prof Wan Feng, a veteran researcher in BCI with extensive expertise in cognitive and brain sciences.<\/div><div><\/div><div>Li notes that his background in computer science gave him a strong grasp of programming, algorithms, and system design, while his master\u2019s work in IoT deepened his understanding of sensor networks, edge computing, and hardware integration. \u2018The essence of IoT is connecting the physical and digital worlds\u2014and BCI is a powerful expression of that idea in the life sciences,\u2019 he explains. \u2018From signal acquisition and embedded systems to neural data analysis, every stage demands knowledge from multiple disciplines. I\u2019m fortunate that everything I learned earlier is now coming alive in my research.\u2019<\/div><div><\/div><div>In Prof Wan\u2019s laboratory, Li is weaving together his past training and transforming it into innovative scientific inquiry. Although still in the early phase of his doctoral studies, he has already felt the advantages of an interdisciplinary education. Guided by Prof Wan, he is investigating the mechanisms behind converting brainwaves into speech and contributing to a university\u2013hospital collaboration, where he helps analyse pathological data related to brain disorders. Using deep learning, Li and his team are integrating diverse data\u2014ranging from symptom patterns to environmental influences and genetic traits\u2014to develop more accurate diagnostic models. Their work aims to offer new insights into brain diseases and improve both the efficiency and precision of medical diagnosis.<\/div><div><\/div><div><\/div><div>Turning knowledge into impact<\/div><div><\/div><div>For Li, the most rewarding part of his eight years at UM has been the opportunity to turn what he has learned into real, tangible impact. Whether leading the unmanned technology team, organising AI workshops, or developing the RapiLearn AI platform, he has consistently focused on putting knowledge into practice and using technology to address real needs in student life and learning. These experiences have not only fulfilled his early aspiration to serve others through education but have also shaped a broad path for his interdisciplinary growth. Looking ahead, Li hopes to carry this spirit of innovation even further\u2014using technology as a bridge between academic research and societal needs, and contributing to a future that is both smarter and more human\u2011centred.<\/div><div>&nbsp;<\/div><\/div><div><\/div><div><div>Chinese Text: U Wai Ip, Chief UM Reporter Wang Chuyue<\/div><div>Chinese Editor: Gigi Fan<\/div><div>English Text: Translation team<\/div><div>Photo: U Wai Ip, with some provided by the interviewee<\/div><div>Source: <i><a href=\"https:\/\/e-myum.co.um.edu.mo\/\">My UM<\/a><\/i> Issue 149<\/div><\/div>\n                        \n                        ","protected":false},"excerpt":{"rendered":"<p>Across eight years at the University of Macau (UM)\u2014from his undergraduate and master\u2019s studies to his current doctoral work\u2014Li Jinlong has developed into a versatile and forward\u2011thinking young scholar. He&#8230;<\/p>\n","protected":false},"author":1,"featured_media":490336,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[61],"tags":[],"class_list":["post-490210","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Li Jinlong: An eight-year journey from student to mentor | Universidade de Macau<\/title>\n<meta name=\"description\" content=\"Universidade de Macau: Uma universidade abrangente p\u00fablica de n\u00edvel internacional fundada em 1981\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.um.edu.mo\/pt-pt\/news-and-press-releases\/campus-news\/detail\/62897\/\" 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