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Ramesh Govindan

4 papers hereh-index 241 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.NI4
same name
  • Ramesh Govindan — 3 papers, h 4
  • Ramesh Govindan — 1 paper, h 4
  • Ramesh Govindan — 1 paper, h 2
  • Ramesh Govindan — 1 paper, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedFinding Adversarial Inputs for Heuristics using Multi-level Optimization

1 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.NI2026

Blackbox Performance Analysis of LLM-based Network Control

Mahdi Alizadeh, Pooria Namyar, Arvin Ghavidel +1

LLMs are becoming an indispensable part of network control systems due to their impressive reasoning. Before such LLM-enabled systems can be deployed, it is imperative to develop t…

cs.NI2026

Near-optimal Online Traffic Engineering

Arvin Ghavidel, Pooria Namyar, Nikolai Matni +2

Most deployed WAN Traffic Engineering (TE) systems use a logically centralized controller that periodically gathers traffic demands, runs a TE optimization or heuristic, and then p…

cs.NI2023★ 1 cited

Finding Adversarial Inputs for Heuristics using Multi-level Optimization

Pooria Namyar, Behnaz Arzani, Ryan Beckett +5

Production systems use heuristics because they are faster or scale better than their optimal counterparts. Yet, practitioners are often unaware of the performance gap between a heu…

cs.NI2023★ 1 cited

Solving Max-Min Fair Resource Allocations Quickly on Large Graphs

Pooria Namyar, Behnaz Arzani, Srikanth Kandula +5

We consider the max-min fair resource allocation problem. The best-known solutions use either a sequence of optimizations or waterfilling, which only applies to a narrow set of cas…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.