M.Sc. Computer and Information Science
University of Konstanz. Focused on computer vision, deep learning, robotics, SLAM, machine learning, and real-time systems.
E-DAVID program with emphasis on AI-driven data analysis.
AI / Computer Vision Engineer focused on robotics, edge AI, and real-time visual systems.
A VR investigative experience inspired by Cyberpunk 2077 Braindance, built around switching between time and sensory layers to uncover hidden clues in an immersive memory scene.
Built a real-time railway monitoring system using 30+ RTSP streams per site. Deployed AI models on Jetson edge devices and connected detection results through a Kafka pipeline.
Bachelor thesis project implementing real-time target tracking, obstacle avoidance, and end-to-end video-to-control navigation based on visual feedback.
An interactive music visualization project that maps one million songs into a navigable universe, built on the Million Song Dataset with genre classification, dimensionality reduction, and long-term trend analysis.
A multi-device IMU fitness sensing system for body-movement awareness, combining phone, watch, earbuds, and ring data for workout tracking and live feedback in normal gym use.
University of Konstanz. Focused on computer vision, deep learning, robotics, SLAM, machine learning, and real-time systems.
E-DAVID program with emphasis on AI-driven data analysis.
Shandong Jiaotong University. GPA 88.97/100, ranked Top 2/118.
Received the Four Haves Excellent Soldier Medal and the Dedication to National Defense Bronze Medal.
Baigong Information Technology. Developed backend and frontend features for a monitoring platform and designed APIs.
Youxiangtu Intelligent Technology. Researched remote sensing object detection algorithms and graph neural network methods.
National Inspirational Scholarship; Shandong Outstanding Student.
Issued by University of Konstanz.
Huawei Kunpeng Innovation Competition, Provincial 2nd Prize; Lanqiao Cup, National Excellence; AI Competition, Provincial Prize.
Published in Journal of Beijing University of Aeronautics and Astronautics, 2025.
Notes on computer vision, robotics, deep learning systems, and project write-ups.
I am a Computer and Information Science master's student at the University of Konstanz with hands-on experience in computer vision, deep learning, robotics, and real-time systems. My work focuses on deploying AI models on edge devices, building reliable visual pipelines, and applying machine learning to inspection, monitoring, and autonomous navigation problems.
I am open to opportunities and collaborations around computer vision, robotics, edge AI, remote sensing, and real-time monitoring systems. The quickest way to reach me is by email.
chunpo.wu@uni-konstanz.de