ER: efficient retransmission scheme for wireless LANs. - Eric Rozner; Anand Padmanabha Iyer; Yogita Mehta; Lili Qiu; Mansoor Jafry (CoNEXT, 2007)

Handling mobility across WiFi and WiMAX. - Anand Padmanabha Iyer; Jayaraman Iyer (IWCMC, 2009)

Fast Resilient Jumbo frames in wireless LANs. - Anand Padmanabha Iyer; Gaurav Deshpande; Eric Rozner; Apurv Bhartia; Lili Qiu (IWQoS, 2009)

Cyclostationary-Based Architectures for Spectrum Sensing in IEEE 802.22 WRAN. - Deepa Bhargavi; Anand Padmanabha Iyer; Chandra R. Murthy (GLOBECOM, 2010)

Indoor localization without the pain. - Krishna Chintalapudi; Anand Padmanabha Iyer; Venkata N. Padmanabhan (MobiCom, 2010)

Collaborative Energy Debugging for Mobile Devices. - Adam J. Oliner; Anand P. Iyer; Eemil Lagerspetz; Sasu Tarkoma (HotDep, 2012)

Blink and It's Done: Interactive Queries on Very Large Data. - Sameer Agarwal 002; Aurojit Panda; Barzan Mozafari; Anand P. Iyer; Samuel Madden 001; Ion Stoica (Proc. VLDB Endow., 2012)

Carat: collaborative energy diagnosis for mobile devices. - Adam J. Oliner; Anand P. Iyer; Ion Stoica; Eemil Lagerspetz; Sasu Tarkoma (SenSys, 2013)

FastLane: making short flows shorter with agile drop notification. - David Zats; Anand Padmanabha Iyer; Ganesh Ananthanarayanan; Rachit Agarwal 001; Randy H. Katz; Ion Stoica; Amin Vahdat (SoCC, 2015)

CellIQ : Real-Time Cellular Network Analytics at Scale. - Anand P. Iyer; Li Erran Li; Ion Stoica (NSDI, 2015)

Time-evolving graph processing at scale. - Anand Padmanabha Iyer; Li Erran Li; Tathagata Das; Ion Stoica (GRADES, 2016)

Fast and Accurate Performance Analysis of LTE Radio Access Networks. - Anand Padmanabha Iyer; Ion Stoica; Mosharaf Chowdhury; Li Erran Li (CoRR, 2016)

A scalable distributed spatial index for the internet-of-things. - Anand Padmanabha Iyer; Ion Stoica (SoCC, 2017)

Automating Diagnosis of Cellular Radio Access Network Problems. - Anand Padmanabha Iyer; Li Erran Li; Ion Stoica (MobiCom, 2017)

Bridging the GAP: towards approximate graph analytics. - Anand Padmanabha Iyer; Aurojit Panda; Shivaram Venkataraman; Mosharaf Chowdhury; Aditya Akella; Scott Shenker; Ion Stoica (GRADES/NDA@SIGMOD/PODS, 2018)

Towards Fast and Scalable Graph Pattern Mining. - Anand Padmanabha Iyer; Zaoxing Liu; Xin Jin 008; Shivaram Venkataraman; Vladimir Braverman; Ion Stoica (HotCloud, 2018)

Monarch: Gaining Command on Geo-Distributed Graph Analytics. - Anand Padmanabha Iyer; Aurojit Panda; Mosharaf Chowdhury; Aditya Akella; Scott Shenker; Ion Stoica (HotCloud, 2018)

Mitigating the Latency-Accuracy Trade-off in Mobile Data Analytics Systems. - Anand Padmanabha Iyer; Li Erran Li; Mosharaf Chowdhury; Ion Stoica (MobiCom, 2018)

ASAP: Fast, Approximate Graph Pattern Mining at Scale. - Anand Padmanabha Iyer; Zaoxing Liu; Xin Jin 008; Shivaram Venkataraman; Vladimir Braverman; Ion Stoica (OSDI, 2018)

Scalable Systems for Large Scale Dynamic Connected Data Processing. - Anand Padmanabha Iyer (2019)

Towards memory-efficient inference in edge video analytics. - Arthi Padmanabhan; Anand Padmanabha Iyer; Ganesh Ananthanarayanan; Yuanchao Shu; Nikolaos Karianakis; Guoqing Harry Xu; Ravi Netravali (HotEdgeVideo@MobiCom, 2021)

TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs. - Anand Padmanabha Iyer; Qifan Pu; Kishan Patel; Joseph E. Gonzalez; Ion Stoica (NSDI, 2021)

P3: Distributed Deep Graph Learning at Scale. - Swapnil Gandhi; Anand Padmanabha Iyer (OSDI, 2021)

DynaGraph: dynamic graph neural networks at scale. - Mingyu Guan; Anand Padmanabha Iyer; Taesoo Kim (GRADES-NDA@SIGMOD, 2022)

Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge. - Arthi Padmanabhan; Neil Agarwal; Anand P. Iyer; Ganesh Ananthanarayanan; Yuanchao Shu; Nikolaos Karianakis; Guoqing Harry Xu; Ravi Netravali (NSDI, 2023)

Proactive, Accuracy-aware Straggler Mitigation in Machine Learning Clusters. - Suraiya Tairin; Haiying Shen; Anand P. Iyer (IPDPS (Workshops), 2024)

Vulcan: Automatic Query Planning for Live ML Analytics. - Yiwen Zhang 008; Xumiao Zhang; Ganesh Ananthanarayanan; Anand P. Iyer; Yuanchao Shu; Victor Bahl; Z. Morley Mao; Mosharaf Chowdhury (NSDI, 2024)

USHER: Holistic Interference Avoidance for Resource Optimized ML Inference. - Sudipta Saha Shubha; Haiying Shen; Anand P. Iyer (OSDI, 2024)

Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving. - Yinwei Dai; Rui Pan 003; Anand P. Iyer; Kai Li 001; Ravi Netravali (SOSP, 2024)

Improving DNN Inference Throughput Using Practical, Per-Input Compute Adaptation. - Anand Padmanabha Iyer; Mingyu Guan; Yinwei Dai; Rui Pan 003; Swapnil Gandhi; Ravi Netravali (SOSP, 2024)

Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection. - Vima Gupta; Kartik Sinha; Ada Gavrilovska; Anand Padmanabha Iyer (CoRR, 2024)

PACER: Accelerating Distributed GNN Training Using Communication-Efficient Partition Refinement and Caching. - Shohaib Mahmud; Haiying Shen; Anand P. Iyer (PACMNET, 2024)

Flex: Fast, Accurate DNN Inference on Low-Cost Edges Using Heterogeneous Accelerator Execution. - Tanmoy Sen; Haiying Shen; Anand Padmanabha Iyer (EuroSys, 2025)

ReInc: Scaling Training of Dynamic Graph Neural Networks. - Mingyu Guan; Saumia Singhal; Taesoo Kim; Anand Padmanabha Iyer (CoRR, 2025)