Max Jwo-Lem Lee

Postdoctoral Fellow (2025-present)

Max Jwo-Lem Lee is a researcher in intelligent positioning, visual localization, and AI-enhanced navigation systems. His work focuses on developing robust positioning technologies for complex indoor and urban environments by integrating computer vision, 3D spatial data, semantic mapping, BIM, 360-degree imagery, and multi-sensor fusion.

During his doctoral research at The Hong Kong Polytechnic University, Max developed several high-accuracy localization frameworks for next-generation navigation and smart city applications. His research includes semantic-driven outdoor visual positioning, digital twin-based camera localization using differential rendering, BIM-fused indoor panorama localization, and low-cost smartphone-based positioning methods. These works have achieved meter-level to sub-meter-level positioning performance across challenging environments, including urban canyons and indoor spaces.

Max has published extensively in leading journals and international conferences, including IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Sensors, and the International Conference on Indoor Positioning and Indoor Navigation.

He has received multiple honors recognizing both academic excellence and innovation impact, including the Hong Kong PhD Fellowship Scheme, Forbes 30 Under 30 Asia, the Outstanding Alumni Award from the PolyU Department of Aeronautical and Aviation Engineering, Hong Kong Inventions Gold Medal, Geneva International Invention Exhibition Gold Medal, Hong Kong ICT Awards Bronze Award, Hong Kong Smart City Champion, Huawei Developer Competition Winner, and multiple university innovation and entrepreneurship competition awards.