Education

• Ph.D. Mechanical Engineering, National Taiwan University of Science and Technology, Taiwan
• M.Sc. Mechanical Engineering, National Taiwan University of Science and Technology, Taiwan
• B.S. Mechanical Engineering, University of Nairobi, Kenya

Professional Experience

• Postdoctoral Research Fellow, Missouri University of Science and Technology
• Postdoctoral Research Fellow, National Tsing Hua University
• Part-time Trainer, Supreme Consultants

Research Interests

• Robotics and Automation, Extended Reality, Computer Vision, and Machine Learning.

Publications

• J. M. Runji, Y.-J. Lee and C.-H. Chu, “Systematic Literature Review on Augmented Reality-based Maintenance Applications in Manufacturing,” Int. J. Precis. Eng. Manuf. – Green Technol., 2022, doi: 10.1007/s40684-022-00444-w
• J. M. Runji, Y.-J. Lee and C.-H. Chu, “User-Requirements Analysis on Augmented Reality-based Maintenance in Manufacturing,” J. Comput. Inf. Sci. Eng., 2021, doi: 10.1115/1.4053410
• J. M. Runji and C.-Y. Lin, “Switchable glass enabled contextualization for a cyber-physical safe and interactive spatial augmented reality PCBA manufacturing inspection system,” Sensors (Switzerland), vol. 20, no. 15, pp. 1–25, 2020, doi: 10.3390/s20154286.
• J. M. Runji and C.-Y. Lin, “Markerless cooperative augmented reality-based smart manufacturing double-check system: Case of safe PCBA inspection following automatic optical inspection,” Robot. Comput. Integr. Manuf., vol. 64, no. 101957, pp. 1–18, 2020, doi: 10.1016/j.rcim.2020.101957.

• Runji, J. M. and Genda Chen (2023) ‘Augmented Reality with Live Video Streaming for Beyond Visual Line of Sight Inspection of a Steel Bridge’, in The 14th International Workshop on Structural Health Monitoring (IWSHM 2023); Special Session: Inspecting and Preserving Infrastructure through Robotic Exploration (INSPIRE). Stanford, CA.​
• J. M. Runji and C.-Y. Lin, “Automatic optical inspection aided augmented reality-based PCBA inspection: A development,” in 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 – Proceedings, 2019, doi: 10.1109/JEEIT.2019.8717385.
• G. Chen and J. Runji, “Mixed Reality for Beyond Visual Line-of-Sight Bridge Inspection Using Robot-Assisted Nondestructive Evaluation,” Final project report, 2024.