George Cybenko
George V. Cybenko is the Dorothy and Walter Gramm Professor of Engineering at Dartmouth and a fellow of the IEEE and SIAM.[1]
Education[]
Cybenko obtained his BA in mathematics from the University of Toronto and received his PhD from Princeton in applied mathematics of electrical and computer engineering in 1978.
Work[]
Cybenko has served as an advisor for the Defense Science Board and several other government panels and is the founding editor-in-chief of the IEEE Security & Privacy magazine. His current research interests are distributed information, control systems, and signal processing, with a focus on applications to security and infrastructure protection. He is known for proving the universal approximation theorem for artificial neural networks with sigmoid activation functions.[2]
References[]
- ^ Princeton EE alumni profiles
- ^ Cybenko, G. (1989) "Approximations by superpositions of sigmoidal functions", Mathematics of Control, Signals, and Systems, 2(4), 303–314. doi:10.1007/BF02551274
External links[]
- American computer scientists
- 20th-century American mathematicians
- 21st-century American mathematicians
- American electrical engineers
- Princeton University School of Engineering and Applied Science alumni
- Fellow Members of the IEEE
- Living people
- Dartmouth College faculty
- Fellows of the Society for Industrial and Applied Mathematics
- University of Toronto alumni
- Academic biography stubs