Akshay Narayan

Akshay Narayan is an Assistant Professor of Computer Science at Brown University. His research focuses on computer systems and networking, particularly on improving specialization for dynamic network environments through novel abstractions.

• Education: PhD (2022), MS (2019), BSc (2015) from MIT and UC Berkeley

His research addresses challenges in network congestion control, dynamic network environments, and systems optimization. He has developed abstractions for managing bandwidth variability and network complexity, with applications in datacenter transport and internet protocols.

Recent publications explore topics like eBPF verification, automated reasoning for network architectures, and congestion control algorithm behavior. His work spans SIGCOMM, HotNets, IMC, EuroSys, and NeurIPS conferences.

• Scientific awards include NSF Graduate Research Fellowship, Irwin Mark Jacobs and Joan Klein Jacobs Presidential Fellowship, Best Artifact at EuroSys 2021, and Best Student Paper at SIGCOMM 2018.

Narayan advises PhD students at Brown and serves on program committees for NSDI, SIGCOMM, and HotNets. He teaches courses like CSCI 2680 (Computer Networks) and CSCI 1675 (Designing High-Performance Network Systems).