SINE Lab: signal processing and machine learning for the power grid

Directed by Anna Scaglione, the Signal, Information, Networks and Energy Laboratory (SINE Lab) at Cornell Tech, Cornell University's campus in New York City, focuses on research at the intersection of signal processing, machine learning, network science and energy systems. SineGit    as337<at>cornell<dot>edu

Recent News

Happenings of the last two months. Last updated on 09/09/2026
  • The lab launched GridMind (MIND FM), a grid foundation model for certifiable monitoring and control that transfers across power network topologies.
  • Nadav Harel joined the lab as a postdoctoral researcher. He will work on modeling the power demand of AI data centers.
  • Yating Zhou joined the lab as a postdoctoral researcher.
  • Chenyue Zhang joined the lab as a postdoctoral researcher.
  • Chenyue Zhang received the 2025 ICASSP Best Student Paper Award. Congratulations!
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