LI Shiying

Shiying joined the Cities Knowledge Graph project in October 2020 as a Software Developer for the development of an innovative digital platform. The platform is designed to use Semantic Web Technology to help urban planners and designers on decision making process.

Shiying holds a Masters degree in Electrical Engineering & Information Technology from ETH Zurich. Being technologically inclined, she is equipped with knowledge and experience in the fields of Web development, Machine Learning and Computer Vision. Apart from her technical expertise, Shiying also has a vested interest and passion in technology, innovation and sustainability.

After graduating, she took on positions in the IT field, and worked as a web developer and then a software developer.

Before joining the Cities Knowledge Graph project, Shiying worked as a software engineer in the Cooling Singapore project. Her role involved the evaluation of existing models and the development of technical infrastructure and interfaces for seamless and automated simulation execution. The infrastructure serves as a platform for simulation execution and data pre/post-processing in high-performance computing and cloud computing environments.

Previous working experience:
- Teaching assistant for “Duckietown” project – Autonomous Mobility on Demand: from car to fleet (AMOD) https://www.duckietown.org/
- Full-stack Web developer for local energy trading platform using blockchain technology: https://quartier-strom.ch
- Full-stack software developer for Automation of Quality Control using computer vision and deep learning algorithms.

Research interests

• User-centered urban planning application
• Data mining and processing in high-performance environment
• Computer vision and Artificial intelligent algorithms
• Strategy development and Business analytics