AI for Systems and Smart Manufacturing

MNSL had been worked on how to better design and manufacture micro- and nano-scale functional systems including MEMS energy harvesters and actuators, solar water splitting for green hydrogen production (see the archived studies) until recently.

Right now our society is undergoing one of the most thrilling yet challenging transformations in its history due to the recent surge in deep learning and Generative AI. The current MNSL research aims to create a paradigm-shifting solution for the use of Generative AI in manufacturing systems to transform well-digitalized current manufacturing systems to become truly smart. The knowledge threads and know-hows in our Manufacturing-specific LLMs (MLLMs) will grow and evolve continually for future innovation and problem solving. Our research work will advance our understanding of knowledge threading (sharing and effective connectivity) in human-cyber-physical systems, as well as provide tools for manufacturing enterprises to achieve a significant boost in manufacturing productivity and long term leadership.