Organization profile
Organization profile
The School of Automation Science and Electrical Engineering originated from the Aircraft Equipment Department of Beihang University (formerly known as Beijing Institute of Aeronautics), which was founded in August 1954. It is credited with developing China's first unmanned aerial vehicle, "Beijing No. 5," and the first fighter jet flight simulator. Since its inception, the School has adhered to the educational philosophy of "Deep Pursuit for Profound Knowledge," passing down the pioneering spirit, tenacious will, and pragmatic work ethic of its founders. The School has deeply integrated its patriotic spirit into the entire process of talent development, closely aligning with the nation's strategic needs. It has made significant contributions to strategic technological and economic development and has trained a large number of leading talents for China's aerospace and defense industries. It is now considered one of the top automation schools in the country.
The School is committed to nurturing innovative talent, advancing research and technological innovation, establishing a solid moral and intellectual foundation, and focusing on discipline development. With a strong emphasis on party building and ideological education, the School strives to become an internationally renowned automation institution distinguished by the integration of of aeronautics, astronautics, and information sciences.
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Collaborations and top research areas from the last five years
Profiles
Research output
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7 轮 SPRING128-128 的截断差分攻击
Zhou, W. C. & Zhang, X., 20 Mar 2026, In: Journal of Cryptologic Research. 13, 1, p. 97-108 12 p.Translated title of the contribution :Truncated Differential Attack on 7-Round SPRING128-128 Research output: Contribution to journal › Article › peer-review
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A back propagation neural network based low frequency clustering man-hour prediction method for digital manufacturing
Xiang, F., Shi, J., Zhang, M., Zuo, Y. & Tao, F., 2026, In: International Journal of Computer Integrated Manufacturing. 39, 3, p. 405-423 19 p.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Scopus citations -
Accurate numerical simulation of soil heat transfer process using self-correcting dynamic grid method
Rui, S., Wang, Y., Qiao, Z., Wang, L., Xu, S., Wang, Y., Zhang, Z. & Shi, Y., Feb 2026, In: Thermal Science and Engineering Progress. 70, 104499.Research output: Contribution to journal › Article › peer-review
Open Access