network-modeling
(2)
Peyman Kazemian
Peyman Kazemian is the co-founder of Forward Networks, a Santa Clara-based enterprise software company that builds mathematically accurate digital twins of complex networks. His PhD dissertation at Stanford - which became the foundational Header Space Analysis framework - won the NSDI 2024 Test-of-Time Award and directly spawned a company now trusted by Fortune 50 enterprises and U.S. government agencies. A graduate of Sharif University of Technology in Tehran and Stanford's electrical engineering department under Prof. Nick McKeown, Kazemian helped develop OpenFlow and SDN before turning his research into a business that has raised over $140 million to transform how enterprises understand, secure, and manage their networks.
Forward Networks, Inc.
Forward Networks builds a vendor-agnostic network digital twin - a mathematically accurate model of cloud and on-prem networks that lets enterprises query, verify, and harden infrastructure that has long since outgrown human capacity to reason about.