Xingjian Qi, M.Sc.

Short Bio:

Xingjian is a doctoral candidate in the Application-Specific Computing group under the mentorship of Prof. Dr. Robert Strzodka since 2024. His research focuses on enhancing the accuracy and efficiency of general computer arithmetic through the development of novel data representations and computational algorithms. His work primarily explores mixed-precision algorithms and variable-length data types, aiming to optimize performance and reduce computational overhead in diverse applications. Xingjian holds a B.Eng. in Transportation Engineering from Harbin Institute of Technology, a M.S. in Civil Engineering from the University of Illinois Urbana-Champaign, and a MSc. in Applied Computational Science and Engineering from Imperial College London.

I’m always looking for opportunities to apply my libraries to real world scientific applications. Feel free to reach out via email if you’re interested in collaborating.

Research interests:

• Floating-point Arithmetic
• Floating-point Formats
• Mixed-precision Algorithms
• Low-precision Algorithms