Mimicking the human brain is one of the latest interdisciplinary trends.
KAUST allows me to practice in this field, providing me the best facilities.
Building 3, Level 3, Sea side, 3203-WS25
- Two-dimensional material based gas sensing
- Brain-inspired computation
- Spiking neural network
- M.Sc., Electrical Engineering, KAUST, Saudi Arabia, 2018
- B.Sc., Electrical Engineering, University of Electrical Science and Technology of China, China, 2017
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.
My research interests lie in design and implementation of brain-inspired computational algorithm, exploration of neuromorphic computing systems for real-time applications
Valence and conduction band offsets of β-Ga2O3/AlN heterojunction
Sun, H., Torres Castanedo, C. G., Liu, K., Li, K.-H., Guo, W., Lin, R.
Applied Physics Letters, 111(16), 162105. doi:10.1063/1.5003930
Wurtzite BAlN and BGaN alloys for heterointerface polarization engineering.
Liu, K., Sun, H., AlQatari, F., Guo, W., Liu, X., Li, J., … Li, X.
Applied Physics Letters, 111(22), 222106.
Revealing microstructure and dislocation behavior in BAlN/AlGaN
Sun, H., Wu, F., Park, Y. J., Al tahtamouni T. M., Liao, C.-H., Guo, W., … Li, X. (2017). heterostructures.
Applied Physics Express, 11(1), 011001.