Yashar Ganjali

Yashar Ganjali is a Professor in the Department of Computer Science at the University of Toronto, leading the Systems and Networking Group. His research spans computer networks, with a focus on data center networking, software-defined networking (SDN), and congestion control.

• Education: Not explicitly detailed, but inferred from academic rank as a Professor.

His work on flow consolidation, load migration in SDN controllers, and machine learning for network management has been influential. Recent projects include FORESIGHT (2025) for ML-driven scheduling and Meta-Migration (2023) to reduce switch migration latency.

Scientific Awards include the IFIP Networking 2025 Best Paper Award. Collaborations with institutions like Google (2024) and Facebook (2019) highlight his industry impact. Advisees include Sepehr Abbasi Zadeh (PhD, 2024).

Current projects integrate optical packet switching and eBPF-based network augmentation, aiming to address scalability, micro-bursts, and resource allocation efficiency in cloud environments.