Uyen Nguyen

+491**-******** • adugrl@r.postjobfree.com

linkedin.com/in/uyen-nguyen-b6729888/

Skills

• Profession: Computer Vision, Deep Learning, Machine learning, 3D scenes analyzing, Object detection and tracking, Kalman filter, SLAM, Statistics, Data structure and algorithm.

• Programming: modern C++, Python, MATLAB.

• Libraries: Keras, TensorFlow, OpenCV, PyTorch.

• Others: git, Jira, Confluence, Agile, bash, Linux. Experience

Scientific Software Engineering (R&D) -, Hannover, Germany Aug 2020 – Present

• Developing and improving back-end solutions for sports video analysis, synchronization, retrieval, and region of interest segmentation.

• Developing a method to place virtual advertising in images with the correct perspective.

• Researching possible solutions and defining relevant tasks/tickets for participating projects. Researcher - Leibniz Hannover University, Germany Nov 2016 – Jul 2020

• I developed a new approach for 3D pedestrian tracking and movement prediction with stereo images for autonomous- related applications, using CNN and an extended Kalman filter.

• I led a measurement campaign to collect data for collaboratively tracking pedestrians from multiple viewpoints.

• I proposed, designed, and supervised master projects and master thesis. Research Assistant - Lappeenranta University of Technology, Finland Jul 2015 – May 2016

• I developed a method to reconstruct spectral images from RGB retinal images to diagnose diabetes in early states. Embedded software engineering - Robert Bosch, Vietnam Feb 2012 – Jul 2014

• I analyzed customer requirements regarding CAN diagnostic and vehicle functions, implemented and tested the software.

• I led the integration and releasing of projects. Education

PhD, Institute of Photogrammetry and Geoinformation, Leibniz Hannover University, Germany Nov 2016 – Jul 2020 Thesis: 3D Pedestrian tracking using neighborhood constraints Master, Lappeenranta University of Technology, Finland Sep 2014 – May 2016 Major in Intelligent Computing, minor in mathematics (GPA: 4.48 / 5.0) Bachelor, Computer Science & Engineering, HCM City University of Technology, Vietnam Sep 2007 – Jan 2012 Certificates

• International Summer School on Deep Learning 2017, Bilbao, Spain

• Cooperative Interacting Vehicle 2018 Summer School, Paris, France Publications

• Nguyen U., Heipke C. (2020): 3D pedestrian tracking using local structure constraints. ISPRS Journal, 166 (2020), 347-358.

• Nguyen U., Rottensteiner F., Heipke C. (2019): Confidence-aware pedestrian tracking using a stereo camera. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5, pp. 53-60.

• Nguyen U., Rottensteiner F., Heipke C. (2018): Pedestrian Detection Using Stereo Images. 38.Wissenschaftlich- Technische Jahrestagung der DGPF und PFGK18 Tagung in München, Band 27, 611-623.

• Schön, S., Brenner, C., Alkhatib, H., Coenen, M., Dbouk, H., Garcia-Fernandez, N., ... & Nguyen, U. (2018). Integrity and Collaboration in Dynamic Sensor Networks. Sensors, 18(7), 2400.

• Nguyen U., Laaksonen L., Uusitalo H., Lensu L. (2016): Reconstruction of retinal spectra from RGB data using a RBF network. International Conference on Image Processing Theory, Tools and Applications (IPTA'16), Finland.

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