ZHEN WEI
Robotics & AI Researcher and Creator
Robotics & AI Researcher and Creator
Welcome to my personal space. I am Zhen Wei Yap, a developer dedicated to creating innovative solutions and pushing the boundaries of science, design, and technology.
Over the years, I have explored chemistry and design, and I am now focused on robotics and AI. I always say yes to new challenges and to learning something new. This website showcases my journey, projects, and creative endeavors.
Present
AI-powered running analysis from GPX data — interactive pace maps, finish-time prediction, and training insights with machine learning.
Present
Interconnected SMA actuator subnetworks and NSGA-II optimisation to reduce control dimensionality in morphing robots.
2026
Predictive analytics dashboard for surgical training — estimating task duration and flagging session overrun risk, presented to ASiT.
Summer 2025
52 days tackling new challenges, building a strong routine, and putting myself outside my comfort zone.
2024
Deep learning for tumor subclass diagnosis — fusing MRI scans and methylation data with normalization tools for cross-dataset generalization.
2023-2024
From beer and whisky waste to high performance materials - one of the first things that caught my attention at Arda.
Zhen Wei is a passionate Robotics & AI researcher dedicated to pushing the boundaries of technology and innovation. With a strong foundation in AI, engineering, and chemistry, he focuses on creating intelligent systems that can make a meaningful impact.
His work spans across multiple domains including med-tech, sports-tech, and biomaterials. Through various projects and research initiatives, Zhen Wei demonstrates a commitment to exploring cutting-edge technologies and solving complex problems.
Beyond technical pursuits, Zhen Wei is dedicated to continuous learning and personal growth. His Project 52 initiative showcases his commitment to taking on new challenges and stepping outside his comfort zone, building a strong foundation for future endeavors.
SOCIAL MEDIA