Publications

GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge

DynaGraph: Dynamic Graph Neural Networks at Scale

Towards Memory-Efficient Inference in Edge Video Analytics

P³: Distributed Deep Graph Learning at Scale

Tegra: Efficient Ad-Hoc Analytics on Time-Evolving Graphs

Enriching Driving Experience with Cloud Assistance

Mitigating the Latency-Accuracy Trade-off in Mobile Data Analytics Systems

ASAP: Fast, Approximate Graph Pattern Mining at Scale

Monarch: Gaining Command on Geo-Distributed Graph Analytics

Towards Fast and Scalable Graph Pattern Mining

Bridging the GAP: Towards Approximate Graph Analytics

Time-evolving Graph Processing on Commodity Clusters

Automating Diagnosis of Cellular Radio Access Network Problems

A Scalable Distributed Spatial Index for the Internet-of-Things

Time-Evolving Graph Processing at Scale

Fast and Accurate Performance Analysis of LTE Radio Access Networks

FastLane: Making Short Flows Shorter with Agile Drop Notification

CellIQ: Real-Time Cellular Network Analytics at Scale

Carat: Collaborative Energy Diagnosis for Mobile Devices

Carat: Collaborative Energy Debugging for Mobile Devices

Blink and it’s Done: Interactive Queries on Very Large Data

Portender: Improving Mobile Applications Through Cellular Handoff Prediction

SpecNet: Spectrum Sensing Sans Frontieres

Indoor Localization Without the Pain

Cyclostationary-based Architectures for Spectrum Sensing in IEEE 802.22 WRAN

Fast Resilient Jumbo Frames in Wireless LANs

Handling Mobility Across WiFi and WiMAX

Efficient Transmissions & Recovery in Wireless LANs

Masters Thesis, The University of Texas at Austin

ER: Efficient Retransmission Scheme for Wireless LANs