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Seoul Urban Data Science
In this project, we researched factors that impact on air quality levels. First, we collect millions of records of historical data including weather data and air pollutant data from 2010 to 2018 of many cities in China and South Korea. We evaluated the accuracy of different deep learning methods on air quality forecasting for these cities. We published three papers in this project, which present many valuable findings.
teacher_assistant
2020, Spring Semester, GSDS Machine Learning and Deep Learning for Data Science
Workshop, Seoul National University, Graduate School of Data Science, 1900
2020, Autumn Semester, GSDS Distributed Machine Learning
Workshop, Seoul National University, Graduate School of Data Science, 1900
2021, Spring Semester, GSDS Machine Learning and Deep Learning for Data Science
Workshop, Seoul National University, Graduate School of Data Science, 1900
2021, Autumn Semester, GSDS Explainable AI
Workshop, Seoul National University, Graduate School of Data Science, 1900
timeline
Grad from HUST
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Software Engineer, Olbius Vietnam
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Internship at Big Data Institute, SNU
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Start Master’s Program in ECE
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Top 5 ZhongAn Hackathon (AI Track)
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Complete Master’s Program
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Start Ph.D. Program in ECE
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Present My Paper at 23rd IEEE ICDM
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Present Two Papers at PAKDD 2024
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Complete Ph.D. Dissertation Defense, SNU
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Senior Researcher at Arontier
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Complete Ph.D. Program, SNU
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