Mimicking the human brain is one of the latest interdisciplinary trends.
KAUST allows me to practice in this field, providing me the best facilities.
- Two-dimensional material based gas sensing
- Brain-inspired computation
- Spiking neural network
Building 3, Level 3, Sea side, 3203-WS25
- M.Sc., Electrical Engineering, KAUST, Saudi Arabia, 2018
- B.Sc., Electrical Engineering, University of Electrical Science and Technology of China, China, 2017
Wenzhe Guo was enrolled at King Abdullah University of Science and Technology (KAUST) as a MS/PhD student in 2017 and joined the Sensors’ group in 2018. After having obtained MS degree in 2018, he continues his PhD study on neuromorphic computation in the Sensors’ group.
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.
Wenzhe's research interests are in the design and characterization of gas sensing device based on two-dimensional materials and brain-inspired computation. Currently, he is working on designing a gas sensor for volatile organic gas (VOC) detection and neuromorphic system.