Hong Kong Branch Night News|Hong Kong University of Science and Technology (Guangzhou) and 19 papers of Hong Kong University of Science and Technology scholars were selected for the ACM SIGMOD 2023...

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1. 19 papers by Hong Kong University of Science and Technology (Guangzhou) and Hong Kong University of Science and Technology scholars were selected for ACM SIGMOD 2023, the top meeting of the database . On June 18-23, 2023, ACM SIGMOD 2023, the top conference in the database field, was successfully held in Seattle, USA. As the oldest and most authoritative academic conference in the field of database systems, ACM SIGMOD is a leading international forum for scholars, researchers, and practitioners in this field to explore cutting-edge ideas and results and exchange technologies, tools, and experiences. This year, ACM SIGMOD has 660 submissions and 186 papers have been accepted. (Click here for details)

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2HKUST Environmental Research Institute won the Gold Award of the Asia Smart App Awards. The Asia Smart App Awards is a highly regarded and respected event that recognizes the most outstanding apps in each category. The latest version of the PRAISE-HK-EXP APP in the PRAISE-HK project led by Professor Liu Qihan of the Hong Kong Institute of Environmental Studies of the Hong Kong University of Science and Technology stood out among more than 140 entries from the Asia-Pacific region. This APP integrates sensor technology, big data, air quality model system and exposure science, etc., to provide users with real-time and forecasted air quality information down to every street in Hong Kong, and allows users to grasp personalized air quality information, so that they can More effectively reduce exposure to pollutants and their health effects. (Click here for details)

3. Nine student teams from the Hong Kong University of Science and Technology won awards in the 9th Hong Kong University Student Innovation and Entrepreneurship Competition . Organized by the Hong Kong New Generation Cultural Association, the competition is one of the most prestigious innovation and entrepreneurship competitions for college students. The best projects will represent Hong Kong and be exhibited on different national stages, exposing students to the most cutting-edge ideas while inspiring them to become future innovation and entrepreneurial leaders. In the category of "Entrepreneurial Projects", HKUST has won a total of 9 awards, making it the top university with the most awards. This outstanding achievement highlights our strengths in developing entrepreneurs and turning innovative ideas into successful businesses. (Click here for details)

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4The team of Professor Yu Jianzhen of Hong Kong University of Science and Technology cooperated with Professor Ying Qi of Texas A&M University to analyze the composite model under the constraints of observations for the regional source of trace metals in particulate matter. The research team discovered a sustainable electrocatalytic approach for the direct and selective synthesis of urea and ammonia via co-reduction of carbon dioxide and nitrate under ambient conditions. With the aid of copper-salphen organocatalysts, excellent yields of urea and ammonia were obtained, moreover, the Faradaic efficiency (FE urea) of the former was 57.9 ± 3%. The work proposes a sustainable route for urea and ammonia production, which is expected to be combined with renewable solar and wind energy, and to reuse industrial waste in the future. Related work was recently published in the internationally renowned journal Angewandte Chemie International Edition.

5. The Hong Kong University of Science and Technology Zhang Fan’s team published a document revealing the potential of street view big data in evaluating urban socio-economic conditions. The study used a computer vision model to analyze 27 million Street View images in seven regions of the United States, and estimated the spatial distribution of visual features (such as street furniture, sidewalks, building facades, and vegetation) identified in Street View images to estimate its neighborhood. The community's health, traffic, crime, poverty and other indicators explore the potential of using street view big data and artificial intelligence methods to estimate the comprehensive socioeconomic status of cities. The paper was published online June 27 in the Proceedings of the National Academy of Sciences (PNAS).

News source: Comprehensive compilation of various website platforms

Image source: Internet

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Origin blog.csdn.net/HKUSTchinaoffice/article/details/131606781