Summary
Zixu Wang is a research-focused PhD student in Electrical and Computer Engineering at TUM with eight years of industry and academic experience applying AI to automotive and sensor systems. He currently researches AI for automotive software development at Infineon while his prior work includes interaction-aware trajectory prediction for autonomous driving at Bosch AI (master’s thesis, grade 1.0) and machine learning in logistics at Siemens. His background spans sensor AI, VQA for autonomous driving, and bone-vibration sensing, reflecting a practical knack for bridging perception models with embedded systems. Educated across Nanjing, Chengdu and Munich, he blends strong academic rigor with hands-on prototyping in industry environments. Not obvious from titles: he moved between hardware-adjacent sensor research and high-level trajectory reasoning, which gives him rare end-to-end perspective on automotive AI stacks.
8 years of coding experience
Doctor's Degree, Doctor's Degree at Technical University of Munich
Bachelor's degree Information Engineering, Bachelor's degree Information Engineering at Chengdu University of Technology
Chinese, English, German