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Qiao Hanli
Research scientist
Espoo
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Areas of expertise:

My research focuses on theoretical and applied studies of machine learning and deep learning-related techniques across diverse fields, like IoT security, medicine, hydrogeology, and mining environments. I’ve been working on developing various algorithms through theoretical analysis to be applied. By integrating the traditional simulations, they can be used to monitor, analyze, and explain different phenomena of dynamic fluctuations in various scenarios of porous media. It is the process of coupling physical, electrochemical, and biogeochemicals into machine intelligence. Currently, I am dedicated to creating physical chemistry-informed neural networks to find the solutions of the governing partial differential equations.

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