Lai Kuan Tham

About

Dr. Lai Kuan Tham is a leading researcher in rehabilitation robotics and prosthetic control, specializing in the development of intelligent, adaptive systems for lower limb prostheses. Her work addresses the critical challenge of enabling powered prosthetic ankles and feet to emulate natural, intact limb behavior across varying walking speeds and terrains. In her highly cited 2021 paper, she pioneered the use of a Nonlinear Autoregressive Network with Exogenous Inputs (NARX) to generate robust, adaptive walking patterns, directly tackling the limitations of traditional control algorithms. This foundational contribution, with 14 citations, has significantly advanced the field of powered prosthetics. Dr. Tham further extended her impact in 2023 by applying a similar NARX neural network to estimate body segmental orientation during prosthetic gait, offering a novel, accessible quantitative assessment tool for clinicians. This work, cited 5 times, promises to improve rehabilitation monitoring and outcome evaluation for individuals with limb amputations. Through her innovative integration of machine learning and biomechanics, Dr. Tham is shaping the future of smart, responsive prosthetic devices.

Research Focus

Key Achievements

Top Papers

1. 1
   Generating an Adaptive and Robust Walking Pattern for a Prosthetic Ankle–Foot by Utilizing a Nonlinear Autoregressive Network With Exogenous Inputs

   14 citations · 2021
2. 2
   Estimation of body segmental orientation for prosthetic gait using a nonlinear autoregressive neural network with exogenous inputs

   5 citations · 2023

Key Collaborators

Contact & Links