activity
20052026
most citedNear linear time algorithm to detect community structures in large-scale networks

3.6k citations · 4.2k across the 4 of their papers we have counts for

collaborators

6 papers

eess.SY2026★ 444 cited

The Internet of Things for Smart Manufacturing: A Review

Hui Yang, Soundar Kumara, Satish Bukkapatnam +1

The modern manufacturing industry is investing in new technologies such as the Internet of Things (IoT), big data analytics, cloud computing and cybersecurity to cope with system c…

eess.SY2026★ 90 cited

Six-sigma Quality Management of Additive Manufacturing

Hui Yang, Prahalad Rao, Timothy Simpson +5

In this paper, we propose to design, develop, and implement the new DMAIC methodology for Six-Sigma quality management of AM. First, we define the specific quality challenges arisi…

stat.AP2021

Emergency Equity: Access and Emergency Medical Services in San Francisco

Robert Newton, Soundar Kumara, Paul Griffin

In 2020, California required San Francisco to consider equity in access to resources such as housing, transportation, and emergency services as it re-opened its economy post-pandem…

math.OC2014

An ADMM Algorithm for Clustering Partially Observed Networks

Necdet Serhat Aybat, Sahar Zarmehri, Soundar Kumara

Community detection has attracted increasing attention during the past decade, and many algorithms have been proposed to find the underlying community structure in a given network.…

physics.soc-ph2007★ 3.6k cited

Near linear time algorithm to detect community structures in large-scale networks

Usha Nandini Raghavan, Reka Albert, Soundar Kumara

Community detection and analysis is an important methodology for understanding the organization of various real-world networks and has applications in problems as diverse as consen…

cond-mat.stat-mech2005★ 55 cited

Search in weighted complex networks

Hari P. Thadakamalla, Reka Albert, Soundar R. T. Kumara

We study trade-offs presented by local search algorithms in complex networks which are heterogeneous in edge weights and node degree. We show that search based on a network measure…