Craig L. Gutterman

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 5

Top Topics

Machine Learning

Knowledge Representation

Wavelength Division Multiplexing

Top Venues

Big-DAMA@SIGCOMM

Publications

Jiakai Yu, Shengxiang Zhu, Craig L. Gutterman, Gil Zussman, Daniel C. Kilper
Machine-learning-based EDFA gain estimation [Invited]. JOCN 13 (4) (2021)
Shengxiang Zhu, Craig L. Gutterman, Weiyang Mo, Yao Li, Gil Zussman, Daniel C. Kilper
Machine Learning Based Prediction of Erbium-Doped Fiber WDM Line Amplifier Gain Spectra. ECOC (2018)
Weiyang Mo, Craig L. Gutterman, Yao Li, Gil Zussman, Daniel C. Kilper
Deep Neural Network Based Dynamic Resource Reallocation of BBU Pools in 5G C-RAN ROADM Networks. OFC (2018)
Weiyang Mo, Craig L. Gutterman, Yao Li, Shengxiang Zhu, Gil Zussman, Daniel C. Kilper
Deep-Neural-Network-Based Wavelength Selection and Switching in ROADM Systems. JOCN 10 (10) (2018)
Craig L. Gutterman, Weiyang Mo, Shengxiang Zhu, Yao Li, Daniel C. Kilper, Gil Zussman
Neural Network Based Wavelength Assignment in Optical Switching. Big-DAMA@SIGCOMM (2017)