CV cv.pdf
General Information
Full Name | Jinhu Wang |
Date of Birth | 09 December 1987 |
Languages | Chinese, English, Dutch (words and phrases only) |
Employment
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2018 - now
Research Associate
Aerospace Information Research Institute(AIR), CAS, Beijing, China.
- Quantitative and fine information extraction from LiDAR and image data.
- Design data processing and visualization software for novel sensors.
- Supervise M.Sc. students at University of Chinese Academy of Sciences.
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2017 - 2018
Postdoctoral Researcher
Delft Univerity of Technology, Delft, The Netherlands.
- Design efficient algorithms for automatic road furniture recognition.
- Create highly accurate 3D map of roadside furnitures using point cloud data.
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2016 - 2018
Software Engineer
Fugro B.V., Leidschendam, The Netherlands.
- Develop software for object identification in road environments.
- Process huge dense 3D point cloud data obtained by mobile laser scanning.
Education
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2017
Ph.D.
Delft Univerity of Technology, Delft, The Netherlands.
- Optical and Laser Remote Sensing.
- Object recognition from dense 3D point cloud data obtained by MLS.
- Automatic excavation volume calculation, runoff and catchment estimation.
- Tree individualization, parameter estimation and classification.
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2012
M.Sc.
Academy of Opto-Electronics, Chinese Academy of Sciences(CAS), Beijing, China.
- Signal and Information Processing.
- Classification of small-foorprint full-waveform LiDAR 3D point cloud data.
- Geometric calibration of spaceborne and airborne remote sensing images.
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2009
B.Eng.
China University of Geosciences, Beijing, China
- Geomatics (Surveying and Mapping).
- Map generation using classical ways(pencil, theodolite, total station).
- Programming, Remote sensing, GIS tools, Adjustment theory, etc.
Awards
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2019
- E.H. Thompson Award - The British Remote Sensing and Photogrammetry Society, UK.
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2018
- Best Paper Award - Dept. of Geoscience & Enginerring and Geoscience & Remote Sensing, TU Delft, The Netherlands.
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2016
- Best Poster Paper Award - The XXIII Congress of International Society of Photogrammetry and Remote Sensing, Prague, Czech Republic.
Open Source Projects
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2016
Individual Tree delineation from airborne LiDAR point cloud data.
- A lightweight and easy-to-use point-based method for individual tree delineation from 3D point cloud data using C++.
Supervision
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Lele Zhang - M.Sc. Student (2020-2023)- Works on fine information extraction using deep learning from MLS data sets.
- B.Eng. degree obtained at Jilin University.
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Yuyu Chen - M.Sc. Student (2021-2024)- Works on scalable reconstruction of road surfaces using point cloud and image data sets.
- B.Eng. degree obtained at Shandong University.
Academic Interests
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Fine and quantitative information extraction - Scalable tree and forestry parameter estimation.
- Roadside objects identification from heterogeneous data sets.
- Change detection and monitoring.
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3D reconstruction - 3D tree modeling and parameter estimation.
- Landscape and terrain simulation.
- Road environment reconstruction.
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Heterogeneous data structuring - Multi-dimensional data organization.
- Application-orientated efficient data structure implementation.
Other Interests
- Programming, Robotics.
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Hobbies: Badminton, Roller skating, Cooking.