Motivating co-ordination of power management solutions in data centers. - Ramya Raghavendra; Parthasarathy Ranganathan; Vanish Talwar; Xiaoyun Zhu; Zhikui Wang (CLUSTER, 2007)

Understanding handoffs in large ieee 802.11 wireless networks. - Ramya Raghavendra; Elizabeth M. Belding; Konstantina Papagiannaki; Kevin C. Almeroth (Internet Measurement Conference, 2007)

No "power" struggles: coordinated multi-level power management for the data center. - Ramya Raghavendra; Parthasarathy Ranganathan; Vanish Talwar; Zhikui Wang; Xiaoyun Zhu (ASPLOS, 2008)

Eat All You Can in an All-you-can-eat Buffet: A Case for Aggressive Resource Usage. - Ratul Mahajan; Jitu Padhye; Ramya Raghavendra; Brian Zill (HotNets, 2008)

A case for adapting channel width in wireless networks. - Ranveer Chandra; Ratul Mahajan; Thomas Moscibroda; Ramya Raghavendra; Paramvir Bahl (SIGCOMM, 2008)

MeshMon: a multi-tiered framework for wireless mesh networkmonitoring. - Ramya Raghavendra; Prashanth Aravinda Kumar Acharya; Elizabeth M. Belding; Kevin C. Almeroth (S³@MobiHoc, 2009)

An Online, Derivative-Free Optimization Approach to Auto-tuning of Computing Systems. - Sudheer Poojary; Ramya Raghavendra; D. Manjunath (ICDCN, 2010)

Characterizing high-bandwidth real-time video traffic in residential broadband networks. - Ramya Raghavendra; Elizabeth M. Belding (WiOpt, 2010)

Unwanted Link Layer Traffic in Large IEEE 802.11 Wireless Networks. - Ramya Raghavendra; Elizabeth M. Belding; Konstantina Papagiannaki; Kevin C. Almeroth (IEEE Trans. Mob. Comput., 2010)

Analysis of Data from a Taxi Cab Participatory Sensor Network. - Raghu K. Ganti; Iqbal Mohomed; Ramya Raghavendra; Anand Ranganathan (MobiQuitous, 2011)

IdleChat: enabling high bandwidth real-time applications in residential broadband networks. - Ramya Raghavendra; Michael Kaminsky; Konstantina Papagiannaki; Srinivasan Seshan; Elizabeth M. Belding (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2011)

MeshMon: a multi-tiered framework for wireless mesh network monitoring. - Ramya Raghavendra; Prashanth Aravinda Kumar Acharya; Elizabeth M. Belding; Kevin C. Almeroth (Wirel. Commun. Mob. Comput., 2011)

An information-centric architecture for data center networks. - Bong Jun Ko; Vasileios Pappas; Ramya Raghavendra; Yang Song 005; Raheleh B. Dilmaghani; Kang-Won Lee; Dinesh C. Verma (ICN, 2012)

Dynamic graph query primitives for SDN-based cloudnetwork management. - Ramya Raghavendra; Jorge Lobo 001; Kang-Won Lee (HotSDN@SIGCOMM, 2012)

Endhost-based shortest path routing in dynamic networks: An online learning approach. - Ting He 001; Dennis Goeckel; Ramya Raghavendra; Don Towsley (INFOCOM, 2013)

X-WING: A high-speed wireless broadcasting framework for IEEE 802.11 networks. - Starsky H. Y. Wong; Ramya Raghavendra; Yang Song 005; Kang-Won Lee (SECON, 2013)

Cloud service placement via subgraph matching. - Bo Zong; Ramya Raghavendra; Mudhakar Srivatsa; Xifeng Yan; Ambuj K. Singh; Kang-Won Lee (ICDE, 2014)

Internet Media Upload Caching for Poorly-Connected Regions. - Paul Schmitt; Ramya Raghavendra; Elizabeth M. Belding (ACM DEV, 2015)

Network Scheduling Aware Task Placement in Datacenters. - Ali Munir; Ting He 001; Ramya Raghavendra; Franck Le; Alex X. Liu (CoNEXT, 2016)

Unifying HDFS and GPFS: Enabling Analytics on Software-Defined Storage. - Ramya Raghavendra; Pranita Dewan; Mudhakar Srivatsa (Middleware, 2016)

Removing TCP congestion control on the last hop in split TCP environments. - Franck Le; Starsky H. Y. Wong; Ramya Raghavendra; Vasileios Pappas; Erich M. Nahum (WiOpt, 2016)

Prediction-based Online Trajectory Compression. - Arlei Silva; Ramya Raghavendra; Mudhakar Srivatsa; Ambuj K. Singh (CoRR, 2016)

Darnet: a deep learning solution for distracted driving detection. - Christopher Streiffer; Ramya Raghavendra; Theophilus Benson; Mudhakar Srivatsa (Middleware Industry, 2017)

Whom to Query?: Spatially-Blind Participatory Crowdsensing under Budget Constraints. - Mai ElSherief; Morgan Vigil-Hayes; Ramya Raghavendra; Elizabeth M. Belding (CrowdSenSys@SenSys, 2017)

Interpretability of deep learning models: A survey of results. - Supriyo Chakraborty; Richard Tomsett; Ramya Raghavendra; Daniel Harborne; Moustafa Alzantot; Federico Cerutti 001; Mani B. Srivastava; Alun D. Preece; Simon Julier; Raghuveer M. Rao; Troy D. Kelley; Dave Braines; et al. (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Learning to Simplify Distributed Systems Management. - Christopher Streiffer; Ramya Raghavendra; Theophilus Benson; Mudhakar Srivatsa (IEEE BigData, 2018)

Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. - Federico Cerutti 001; Moustafa Alzantot; Tianwei Xing; Daniel Harborne; Jonathan Z. Bakdash; Dave Braines; Supriyo Chakraborty; Lance M. Kaplan; Angelika Kimmig; Alun D. Preece; Ramya Raghavendra; Murat Sensoy; et al. (FUSION, 2018)

Provisioning Robust and Interpretable AI/ML-Based Service Bundles. - Alun D. Preece; Dan Harborne; Ramya Raghavendra; Richard Tomsett; Dave Braines (MILCOM, 2018)

Feature Importance Identification through Bottleneck Reconstruction. - Linsong Chu; Ramya Raghavendra; Mudhakar Srivatsa; Alun D. Preece; Daniel Harborne (ICCC, 2019)

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (CoRR, 2019)

AI explainability 360: hands-on tutorial. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (FAT*, 2020)

Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation. - Celia Cintas; Ramya Raghavendra; Victor Akinwande; Aisha Walcott-Bryant; Charity Wayua; Komminist Weldemariam (IJCAI, 2020)

AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (J. Mach. Learn. Res., 2020)

Network Scheduling and Compute Resource Aware Task Placement in Datacenters. - Ali Munir; Ting He 001; Ramya Raghavendra; Franck Le; Alex X. Liu (IEEE/ACM Trans. Netw., 2020)

Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies. - Celia Cintas; Victor Akinwande; Ramya Raghavendra; Girmaw Abebe Tadesse; Aisha Walcott; Charity Wayua; Fredrick Makumbi; Rhoda Wanyenze; Komminist Weldemariam (AMIA, 2021)

AI Explainability 360 Toolkit. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (COMAD/CODS, 2021)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; James Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (CoRR, 2021)

AI Explainability 360: Impact and Design. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (AAAI, 2022)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; Jinshi Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (MLSys, 2022)

Beyond Efficiency: Scaling AI Sustainably. - Carole-Jean Wu; Bilge Acun; Ramya Raghavendra; Kim M. Hazelwood (IEEE Micro, 2024)

Meta CLIP 2: A Worldwide Scaling Recipe. - Yung-Sung Chuang; Yang Li; Dong Wang; Ching-Feng Yeh; Kehan Lyu; Ramya Raghavendra; James Glass 001; Lifei Huang; Jason Weston; Luke Zettlemoyer; Xinlei Chen; Zhuang Liu; et al. (CoRR, 2025)