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Numerical Methods for PDEs
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Numerical Methods for PDEs

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material based gas sensing

Wenzhe Guo

Ph.D. Student, Electrical and Computer Engineering

material based gas sensing brain-inspired computation spiking neural networks

Wenzhe Guo is currently a PhD student at the Sensors Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST). Education and Early Career Wenzhe Guo received his B.S. majored in integrated circuits design from University of Electronic Science and Technology of China (UESTC) in 2017. He got admitted to KAUST and obtained MS degree at Electrical Engineering department in KAUST in 2018. Research Interests My research interests lie in design and implementation of brain-inspired computational algorithm, exploration of neuromorphic computing

Numerical Methods for PDEs (NumPDE)

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