Neuromorphic Devices for Brain-inspired Computing

26.01.2022

Englisch

9783527349791

Wiley-VCH

Nein

256

1

Gebundene Ausgabe

Artificial Intelligence, Perception and Robotics

Qing Wan is currently a professor in the School of Electronic Science and Engineering, Nanjing University, China. He received PhD degree from Shanghai Institute of micro-system and Information Technology, Chinese Academy of Sciences in 2004. From 2004 to 2005, he worked as a postdoctoral researcher at the Department of Materials, University of Cambridge. From 2006 to 2007, he also worked as a postdoctoral researcher at the Department of Electronic Engineering, University of Michigan, Ann Arbor. His research focused on the semiconductor micro/nano structures for new-concept device applications. Qing Wan has published more than 200 scientific papers and SCI cited more than 10000 times. Qing Wan has won many awards, including National Youth Top-notch Talent, China Youth Science and Technology Award, Natural Science prize of the Ministry of Education (first-class prize), Author of National Excellent Doctoral Dissertation of PR China, Special award of the President of the Chinese Academy of Sciences, NSF distinguished Young Scholars.

AI, Biowissenschaften, Electrical & Electronics Engineering, Electronic Materials, Elektronische Materialien, Elektrotechnik u. Elektronik, KI, Künstliche Intelligenz, Life Sciences, Materials Science, Materialwissenschaften, Neural Networks, Neuromorphic Engineering, Neuronale Netze, Neuroscience, Neurowissenschaften

TGMM - Technische Anwendung von elektronischen, magnetischen, optischen Materialien TJFD - Elektronische Geräte und Materialien

244 mm

17 cm