News Express: International Symposium on Interdisciplinary and Collaborative Innovation Research held at UM

新聞快訊:跨學科協同創新研究國際研討會於澳大舉行

 

跨學科協同創新研究國際研討會於澳大舉行
The International Symposium on Interdisciplinary and Collaborative Innovation Research is held at UM

 


跨學科協同創新研究國際研討會於澳大舉行

為促進跨學科的合作與學術交流,澳門大學協同創新研究院主辦“第二屆跨學科協同創新研究國際研討會”,29場演講匯聚數據科學、神經科學和腦科學領域的多位中外知名學者探討相關領域,參加人數超過300人。

澳大副校長葛偉致辭時介紹協同創新研究院的創立宗旨及其在學術界的重要性。為期兩天的研討會由南京尖創科技有限公司及百靈生物科技澳門有限公司贊助,並設兩個分會,包括“第二屆澳門數據科學研討會”及“第五屆澳門認知與腦科學研討會”。

“第二屆澳門數據科學研討會”共設三場主題演講、六場嘉賓演講及兩場行業講座。討論的主題包括大數據分析與處理、數據探勘與管理、法律方面的數據科學、人工智能在醫療保健中的應用,以及各種機器學習演算法和技術。在主題演講,新加坡南洋理工大學副教授Sourav S. Bhowmick討論了其對於通過數據驅動的方法管理利益衝突的見解,並強調了從社會技術數據系統研究到實際影響的轉變;上海外國語大學教授洪化清探討了大數據學習分析在促進教育轉型的關鍵作用,重點關注實證教學法及其在教學與學習中增強決策能力的潛力;香港城市大學教授李彥志介紹了將商業領域智識整合到離線強化學習從而增強個性化推薦系統的研究。

“第五屆澳門認知與腦科學研討會”包括4場主題演講和14場嘉賓演講,涵蓋多個主題,包括與成癮和決策相關的認知神經科學、語言與認知、兒童發展與認知老化、視知覺、神經影像學,以及精神和神經疾病。主題演講上,中國科學院生物物理研究所學術副所長何生討論了人體大腦中反饋處理方面的研究;中國科學院自動化研究所腦網絡組研究中心主任蔣田仔分享了基於腦網絡鏈接的大腦圖譜創建,介紹了研究的背景及其在理解認知機制和診斷大腦疾病中的應用;香港大學教授李湄珍從行為和神經影響的證據指出孤獨是對老年人福祉的重大威脅;香港中文大學教授黃俊文分享了從神經數據預測語言發展,以及怎樣從假設檢驗到模型泛化。

研討會還設有海報展示環節,包括35張海報展示。為鼓勵青年學者参與,海報評選委員會選出最佳海報,其中一等獎的兩名得獎者分别為澳大工商管理學院博士生孫英浩及科學學院博士生楊毅。

出席活動的嘉賓包括澳門科學技術發展基金項目成果轉化及輔助部高級經理謝偉明,華為澳門分公司高級專家何文靜、客戶總監王苑竹,澳門聖若瑟大學數據工程與科學學院院長杜文才,澳大協同創新研究院代院長須成忠、協同創新研究院副院長及認知與腦科學研究中心主任袁振、數據科學研究中心主任余亮豪等。

澳大協同創新研究院致力於促進澳門、粵港澳大灣區及海內外高校的跨學科研究,培養創新型人才,並營造有利於“創新思維,創新能力、創新產業”的環境,推動產學研合作。是次研討會正是協同創新研究院實現其宗旨的努力之一,吸引了來自學術界、政府及社會的專家,共同探討數據科學、認知神經科學和腦科學的最新趨勢和挑戰,促進學者之間的互動與交流。

欲瀏覽官網版可登入以下連結:
https://www.um.edu.mo/zh-hant/news-and-press-releases/presss-release/detail/59848/

 

International Symposium on Interdisciplinary and Collaborative Innovation Research held at UM

To promote interdisciplinary collaboration and academic exchange, the Institute of Collaborative Innovation (ICI) of the University of Macau (UM) organised the 2nd International Symposium on Interdisciplinary and Collaborative Innovation Research. The symposium featured 29 presentations by renowned scholars from China and abroad in the fields of data science, neuroscience and brain science, and was attended by over 300 participants.

In his opening remarks, UM Vice Rector Ge Wei highlighted the mission of ICI and its importance in the academic community. The two-day symposium, sponsored by Nanjing Jianchuang Technology Company Limited and Lingbio Biotechnology Macau Company Limited, included two sessions: the 2nd Macau Symposium on Data Science and the 5th Macau Symposium on Cognitive and Brain Sciences.

The 2nd Macau Symposium on Data Science featured 3 keynote presentations, 6 invited talks, and 2 industrial talks. Topics discussed included big data analytics and processing, data mining and management, legal issues in data science, applications of artificial intelligence in healthcare, and various machine learning algorithms and techniques. Among the keynote speakers: Sourav S. Bhowmick, associate professor at Nanyang Technological University, shared his insights on managing conflicts of interest through data-driven approaches, highlighting the shift from socio-technical data systems research to practical applications; Hong Huaqing, professor at Shanghai International Studies University, explored the pivotal role of big data learning analytics in driving meaningful educational transformation, focusing on evidence-based pedagogy and its potential to improve decision-making in teaching and learning; Li Yanzhi, professor at City University of Hong Kong, presented his research on integrating business knowledge into offline reinforcement learning to enhance personalised recommendation systems.

The 5th Macau Symposium on Cognitive and Brain Sciences featured 4 keynote presentations and 14 invited talks, covering a range of topics including cognitive neuroscience related to addiction and decision-making, language and cognition, child development and cognitive aging, visual perception, neuroimaging, and psychiatric and neurological disorders. Among the keynote speakers: He Sheng, academic deputy director of the Institute of Biophysics, Chinese Academy of Sciences, discussed his research on feedback processing in the human brain; Jiang Tianzi, director of the Brainnetome Center of the Institute of Automation, Chinese Academy of Sciences, talked about brain mapping based on the Brainnetome Atlas, its research background and applications in understanding cognitive mechanisms and diagnosing brain diseases; Tatia Lee Mei Chun, professor at the University of Hong Kong, shared her studies on loneliness as a significant threat to the well-being of older adults from behavioural and neural perspectives; Patrick Wong Chun Man, professor at the Chinese University of Hong Kong, discussed how to predict language development from neural data, and how hypothesis testing leads to model generalisation.

The symposium also included a poster session, where 35 posters were displayed. To encourage the participation of young scholars, the poster evaluation committee selected the best posters and presented 2 first prizes, 5 second prizes, 5 third prizes, and 8 merit awards. Notably, both first prizes went to UM students—Sun Yinghao, a doctoral student from the Faculty of Business Administration, and Yang Yi, a doctoral student from the Faculty of Science and Technology.

The event was attended by Che Wai Meng, senior manager of the Project Transformation and Support Department of the Science and Technology Development Fund of Macao; Steven He, senior expert of Huawei Macau branch; Zoey Wang, account director of Huawei Macau branch; George Du Wencai, dean of the Institute for Data Engineering and Science at the University of Saint Joseph, Macao; and UM members—Xu Cheng-Zhong, interim director of ICI; Yuan Zhen, associate director of ICI and head of the Centre for Cognitive and Brain Sciences; and Ryan U Leong Hou, head of the Centre for Data Science.

The Institute of Collaborative Innovation (ICI) is dedicated to promoting interdisciplinary research among higher education institutions in the Guangdong-Hong Kong-Macao Greater Bay Area and beyond, cultivating innovative talent, creating an environment conducive to innovative thinking, innovative capabilities and innovative industries, and fostering industry-academia collaboration. The symposium exemplified ICI’s efforts to achieve its objectives. The event brought together experts from academia, government, and society to discuss the latest trends and challenges in data science, cognitive neuroscience, and brain science, and facilitated discussion and exchange among scholars.

To read the news on UM’s official website, please visit the following link:
https://www.um.edu.mo/news-and-press-releases/presss-release/detail/59848/