Teaching
Courses
I have taught four courses with 490 total class hours in the past 5 years, including four independent courses: three undergraduate courses and one graduate course. In addition, the undergraduate education reform program owned by me, The Construction and Practice of the Core Curriculum of GIS Engineering Integrated with PIE, was approved as the industry-university cooperative education project of the Ministry of Education of China in 2022. These teaching courses and project aim to provide fundamental theory of computer science and GIS, as well as program developing skills, which are essential and beneficial to GIS students in their future academic study and industrial works. The detailed information of courses I taught is showed in the following table.
NO. | Course | Type | Year | Credits | Hours | Main Contents |
---|---|---|---|---|---|---|
1. | GIS Engineering | Compulsory undergraduate course | 2019-2023 first semester | 2 | 32 | Principles of GIS engineering; system design in GIS; requirement analysis and feasibility analysis in GIS; GIS engineering technologies and methods; implementation processes in GIS; frontier applications of GIS engineering |
2. | Principles of Operating System | Optional undergraduate course | 2018-2019 first semester | 2 | 32 | Fundamental principles and implementation techniques of operating system; system Mechanism; processes and Threads; memory management; file system; scheduling; deadlock; case study: windows and linux |
3. | Principles of Software Engineering | Optional undergraduate course | 2018-2023 first semester | 2 | 32 | Basic concepts and principles of software engineering; requirement analysis and feasibility analysis; software development models; analyze and design practical software systems; software quality control; software design, coding, testing, and maintenance |
4. | Distributed Computing Technologies for Spatial Data | Optional graduate course | 2018-2023 first semester | 2 | 34 | Basic concepts and principles of geocomputing and distributed computing; communication, synchronization and consistency techniques in distributed systems; frameworks of distributed computation: Hadoop and Spark; design of distributed spatial storage; spatial index; distributed spatial query processing; practices of distributed spatial database |
Students
I have supervised 16 students, including 1 postdoc researcher (Xuexi Yang),6 Ph.D. students (Shuliang Ren, Houji Qi, Jiangpeng Zheng, Yanxiao Jiang, Yi Bao, Ganmin Yin), 9 master students (Han Wang, Wenyuan Kong, Xinyu Wu, Yiran Chen, Xiaoyu Sun, Chen Fu, Xuri Gong, Liu Yang, Haode Du). There are 1 graduated Ph.D. students and 6 graduated masters. Among them, 4 were awarded the title of Excellent Graduates of Beijing (only 5% of graduates from Peking University receive this honor), and 2 were named Excellent Graduates of Peking University (only 15% of graduates from Peking University receive this honor). Additionally, the undergraduate student Ruilin Ye, whom I mentored, published an academic paper as the first author in the top remote sensing journal JAG (IF=7.5) (2022). Furthermore, I also take great pride in the accomplishment of my first doctoral graduate, Yi Bao, who won the Peking University Outstanding Doctoral Thesis Award in 2023 (only 3 were selected out of 87 doctoral graduates from in the School of Earth & Space Sciences). I also received Outstanding Doctoral Thesis Advisor Award from Peking University.
Based on the study and research performance, other awards of group students are mainly outlined below:
- Merit Student, Peking University (2017-2018)
- President Scholarship, Peking University (2022)
- Nominated for “Gao Junyu Award” of Peking University (One of highest honors for students at PKU)
- Longruan Scholarship, Peking University (2018, 2019, 2020, 2021, 2022)
- The Grand Prize of National College Students’ GIS Application Skills Competition (2017)
- The Champion of Zhongan University Students Hackathon (2020)
- The Second Prize of the Seventh SODA Open Data Innovation Application Competition (2021)
Current Students
Name | Degree | Study Period | Research Interest |
---|---|---|---|
Shuliang Ren |
Ph.D. | 2022-2026 | Geographical Information Systems, GeoAI, Urban Science, and Urban Data Mining |
Yanxiao Jiang |
Ph.D. | 2021-2025 | Deep Learning and GeoAI |
Jiangpeng Zheng |
Ph.D. | 2021-2025 | Transportation, Urban Data Mining, Sustainability |
Ganmin Yin |
Ph.D. | 2020-2025 | Human Mobility, Transportation, Urban Data Mining and GeoAI |
Houji Qi |
Ph.D. | 2019-2025 | High-perforance Geocomputation, Geograpghic Data Mining, Deep Learning |
Chen Fu |
Master | 2021-2024 | Spatial Data Analysis and Machine Learning |
Haode Du |
Master | 2022-2025 | Change Detection, GeoAI and Remote Sensing |
Graduated Students
Name | Study time | Degree | Thesis title | Destinations |
---|---|---|---|---|
Xiaoyu Sun | 2015-2018 | Master | Tourist Attraction Recommendation System Based on Geotagged Social Media Data | JD.Com Inc., Algorithm Engineer |
Yiran Chen | 2016-2019 | Master | High-Performance Streaming Map Matching in Heterogeneous Distributed Systems Based on Spark and GPUs | Didi Inc., Algorithm Engineer |
Xinyu Wu | 2017-2020 | Master | Personalized Recommendation for Tourist Attractions Based on Multi-Source Spatiotemporal Big Data | Lecturer at Peking University |
Liu Yang | 2017-2020 | Master | Extraction and Supply-Demand Analysis of Urban Public Transportation Travel Ratio at Fine Spatial Scales | AMaps Inc., Product Engineer |
Xuri Gong | 2018-2021 | Master | Segmented Storage and Spatiotemporal Query Optimization Methods for Massive Trajectory Data Based on HBase | WeChat Inc., Algorithm Engineer |
Ying Feng | 2019-2022 | Master | Urban Functional Zone Recognition Based on Multi-source Geospatial Big Data and Transfer Learning | Agricultural Bank of China, Software Engineer |
Wenyuan Kong | 2019-2022 | Master | Parallel Computation Protocol Models for Earth Partitioning Grids and Typical Experiments | Municipal Commission of Natural Resources and Planning, Beijing, Staff |
Han Wang | 2020-2023 | Master | Trajectory Representation Modeling Methods Based on Graph Variational Pre-Training and Cross-modal Attentions | University of Hong Kong, PhD Student |
Yi Bao | 2018-2023 | Doctorate | Estimating Material Stocks of the Urban Built Environment Based on Geospatial Big Data | Peking University, Postdoctoral Researcher |
Xuexi Yang | 2019-2021 | Postdoc | Mining Spatial Interaction Distribution Patterns Based on Multi-Source Geospatial Big Data | Central South University, Assistant Professor |