Using packet probes for available bandwidth estimation: a wireless testbed experience. - Mesut Ali Ergin; Marco Gruteser (WiNTECH, 2006)

Bootstrapping a Location Service Through Geocoded Postal Addresses. - Gayathri Chandrasekaran; Mesut Ali Ergin; Marco Gruteser; Richard P. Martin (LoCA, 2007)

Understanding the effect of access point density on wireless LAN performance. - Mesut Ali Ergin; Kishore Ramachandran; Marco Gruteser (MobiCom, 2007)

DECODE : Detecting co-moving wireless devices. - Gayathri Chandrasekaran; Mesut Ali Ergin; Marco Gruteser; Richard P. Martin; Jie Yang 003; Yingying Chen 001 (MASS, 2008)

An experimental study of inter-cell interference effects on system performance in unplanned wireless LAN deployments. - Mesut Ali Ergin; Kishore Ramachandran; Marco Gruteser (Comput. Networks, 2008)

Available bandwidth estimation and admission control for QoS routing in wireless mesh networks. - Mesut Ali Ergin; Marco Gruteser; Lin Luo 003; Dipankar Raychaudhuri; Hang Liu 003 (Comput. Commun., 2008)

Empirical Evaluation of the Limits on Localization Using Signal Strength. - Gayathri Chandrasekaran; Mesut Ali Ergin; Jie Yang 003; Song Liu; Yingying Chen 001; Marco Gruteser; Richard P. Martin (SECON, 2009)

DECODE: Exploiting Shadow Fading to DEtect COMoving Wireless DEvices. - Gayathri Chandrasekaran; Mesut Ali Ergin; Marco Gruteser; Richard P. Martin; Jie Yang 003; Yingying Chen 001 (IEEE Trans. Mob. Comput., 2009)

Improving energy efficiency for mobile platforms by exploiting low-power sleep states. - Alexander W. Min; Ren Wang 001; James Tsai; Mesut Ali Ergin; Tsung-Yuan Charlie Tai (Conf. Computing Frontiers, 2012)

Distributed Software Switching for Scalable Network Functions. - Mesut Ali Ergin; James Tsai; Tsung-Yuan Charlie Tai (NetSoft, 2019)

MOBO-NFV: Automated Tuning of a Network Function Virtualization System using Multi-Objective Bayesian Optimization. - Pietro Mercati; Bin Li 018; Mesut Ali Ergin; Charlie Tai; Michael Kishinevsky; Boris Serafimov; Subhiksha Ravisundar; Eoin Walsh; Thomas Long (IM, 2021)