Application Layer Packet Merging to Improve Call Capacity in a 802.11 Based Intercom. - Arun V. Sathanur; Sridhar Gangadharpalli; V. Sridhar (ICNS, 2006)

Statistical analysis of RF circuits using combined circuit simulator-full wave field solver approach. - Arun V. Sathanur; Ritochit Chakraborty; Vikram Jandhyala (ICCAD, 2007)

Accurate statistical analysis of a differential low noise amplifier using a combined SPICE-field solver approach. - Arun V. Sathanur; Ritochit Chakraborty; Vikram Jandhyala (ISCAS, 2008)

Active-passive co-synthesis of multi-GigaHertz radio frequency circuits with broadband parametric macromodels of on-chip passives. - Ritochit Chakraborty; Arun V. Sathanur; Vikram Jandhyala (ICCAD, 2009)

Towards Active-Passive Co-synthesis of Multi-gigaHertz Radio Frequency Circuits. - Ritochit Chakraborty; Arun V. Sathanur; Vikram Jandhyala (VLSI Design, 2010)

Design strategies for high-dimensional electromagnetic systems. - Vikram Jandhyala; Arun V. Sathanur (ICCAD, 2012)

Capturing signatures of anomalous behavior in online social networks. - Arun V. Sathanur; Vikram Jandhyala; Chuanjia Xing (ISI, 2013)

PHYSENSE: Scalable sociological interaction models for influence estimation on online social networks. - Arun V. Sathanur; Vikram Jandhyala; Chuanjia Xing (ISI, 2013)

Simulating context-driven activity cascades in online social networks on the google exacycle platform. - Arun V. Sathanur; Miao Sui; Vikram Jandhyala; Michael D. Tyka; Nicole A. Deflaux (SMC, 2014)

An activity-based information-theoretic annotation of social graphs. - Arun V. Sathanur; Vikram Jandhyala (WebSci, 2014)

Social sensor analytics: Making sense of network models in social media. - Chase P. Dowling; Joshua J. Harrison; Arun V. Sathanur; Landon H. Sego; Courtney D. Corley (ISI, 2015)

Optimized Parallel Label Propagation Based Community Detection on the Intel(R) Xeon Phi(TM) Architecture. - Andrei B. Khlopotine; Arun V. Sathanur; Vikram Jandhyala (SBAC-PAD, 2015)

Accelerating the mining of influential nodes in complex networks through community detection. - Mahantesh Halappanavar; Arun V. Sathanur; Apurba K. Nandi (Conf. Computing Frontiers, 2016)

Influence Maximization on Complex Networks with Intrinsic Nodal Activation. - Arun V. Sathanur; Mahantesh Halappanavar (SocInfo (2), 2016)

When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. - Arun V. Sathanur; Sutanay Choudhury; Cliff A. Joslyn; Sumit Purohit (CIKM, 2017)

Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties. - Ryan D. Friese; Mahantesh Halappanavar; Arun V. Sathanur; Malachi Schram; Darren J. Kerbyson; Luis de la Torre 001 (JSSPP, 2017)

Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks. - Arun V. Sathanur; Mahantesh Halappanavar; Yi Shi 001; Yalin E. Sagduyu (CoRR, 2017)

Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. - Tanveer Hossain Bhuiyan; Mahantesh Halappanavar; Ryan D. Friese; Hugh R. Medal; Luis de la Torre 001; Arun V. Sathanur; Nathan R. Tallent (JSSPP, 2018)

Dynamic graphs, community detection, and Riemannian geometry. - Craig Bakker; Mahantesh Halappanavar; Arun V. Sathanur (Appl. Netw. Sci., 2018)

Scaling Submodular Optimization Approaches for Control Applications in Networked Systems. - Arun V. Sathanur (CoRR, 2018)

Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks. - Arun V. Sathanur; Mahantesh Halappanavar; Yi Shi 001; Yalin E. Sagduyu (Social Network Based Big Data Analysis and Applications, 2018)

Fast and Scalable Implementations of Influence Maximization Algorithms. - Marco Minutoli; Mahantesh Halappanavar; Ananth Kalyanaraman; Arun V. Sathanur; Ryan S. McClure; Jason E. McDermott (CLUSTER, 2019)

A clustering-based biased Monte Carlo approach to protein titration curve prediction. - Arun V. Sathanur; Nathan A. Baker (ICMLA, 2020)

Street-level Travel-time Estimation via Aggregated Uber Data. - Kelsey Maass; Arun V. Sathanur; Arif Khan 005; Robert Rallo (CSC, 2020)

Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data. - Milan Jain; Khushboo Gupta; Arun V. Sathanur; Vikas Chandan; Mahantesh Halappanavar (ACC, 2021)

Scalable Approaches to Selecting Key Entities in Large Networked Infrastructure Systems. - Arun V. Sathanur; Arif M. Khan (IEEE BigData, 2021)

QuaL2 M: Learning Quantitative Performance of Latency-Sensitive Code. - Arun V. Sathanur; Nathan R. Tallent; Patrick Konsor; Ken Koyanagi; Ryan McLaughlin; Joseph Olivas; Michael Chynoweth (IPDPS Workshops, 2022)

Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion. - Ashutosh Dutta; Milan Jain; Arif Khan; Arun V. Sathanur (CoRR, 2023)