Shuo Wang

I am a PhD candidate in the department of Applied Physics at Eindhoven University of Technology, where I work on a Canon-sponsored project that investigates and optimizes the transport of ink droplets in porous media, such as paper and textiles. My research involves applying different approaches to solve complex problems in fluid mechanics and transport phenomena, using numerical modeling and experimental research . With a master's degree in mechanical engineering from Karlsruhe Insititute of Technology and multiple certifications in machine learning and data science, I have developed strong skills and knowledge in solving complex problem with up-to date AI technology. I have also published several papers in peer-reviewed journals and conferences, and contributed to the development of open-source software tools for fluid mechanics research. I am passionate about the challenge and the potential impact of my research, and I aspire to become a leader and an innovator in this field.