Projects per year
Personal profile
Chinese Name
宋俊
Biography
Dr. Song obtained his doctorate degree from Imperial College London in 2021. He is now a Research Assistant Professor in Hong Kong Baptist University. He is an urban scientist who majors in combination of the interdisciplinary research including urban complex system, including IoT sensing, urban computing, transport & environment, and air pollution modeling. Dr. Song was a recipient of the China Youth Entrepreneurship Award (Central Committee of the Communist Youth League and Ministry of Human Resources and Social Security of China) which was the hightist Youth innovation and entrepreneurship award in China.
Research Interests
Air pollution modelling; Mobile air pollution sensing; UAV-based pollution analysis; Transport and Environment; AI for air quality management and public health
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Geography, PhD, Civil & Environmental Engineering, Imperial College London
1 Sept 2017 → 1 Aug 2021
Award Date: 1 Aug 2021
Keywords
- GE Environmental Sciences
- Air Pollution
- Machine Learning
- Q Science (General)
- Air Quality
- Engineering
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Dive into the research topics where Jun SONG is active. Topic labels come from the works of this scholar.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A novel multi-pollutant space-time learning network for air pollution inference
Song, J. & Stettler, M. E. J., 10 Mar 2022, In: Science of the Total Environment. 811, 152254.Research output: Contribution to journal › Journal article › peer-review
28 Citations (Scopus) -
Deep-MAPS: Machine-Learning-Based Mobile Air Pollution Sensing
Song, J., Han, K. & Stettler, M. E. J., 1 May 2021, In: IEEE Internet of Things Journal. 8, 9, p. 7649-7660 12 p.Research output: Contribution to journal › Journal article › peer-review
42 Citations (Scopus) -
Toward High-Performance Map-Recovery of Air Pollution Using Machine Learning
Song, J., Fan, H., Gao, M., Xu, Y., Ran, M., Liu, X. & Guo, Y.-K., 13 Jan 2023, In: ACS ES&T Engineering. 3, 1, p. 73–85 13 p.Research output: Contribution to journal › Journal article › peer-review
Open Access14 Citations (Scopus) -
ST-Bikes: Predicting Travel-Behaviors of Sharing-Bikes Exploiting Urban Big Data
Chai, J., Song, J., Fan, H., Xu, Y., Zhang, L., Guo, B. & Xu, Y., Jul 2023, In: IEEE Transactions on Intelligent Transportation Systems. 24, 7, p. 7676-7686 11 p.Research output: Contribution to journal › Journal article › peer-review
9 Citations (Scopus) -
Research on Visible Sensing Recognition Linkage Model & Decision Support System for PM 2.5 Distribution in Road Network: A Case Study of Chengdu Area
Song, J., Chaozhe, J., Han, K., Quan, S. & Fu, L., 8 Jan 2017.Research output: Contribution to conference › Conference paper › peer-review
Prizes
Activities
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IEEE Transactions on Emerging Topics in Computing (Journal)
SONG, J. (Associate editor)
1 Jan 2024 → 31 Dec 2024Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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2023数字教育与数字化转型发展论坛
SONG, J. (Programme chair)
8 Sept 2023Activity: Conference/talk/lecture/symposium/speech/workshop, etc › Event organized by non-HKBU units