Coordinating backup/recovery and data consistency between database and file systems. - Suparna Bhattacharya; C. Mohan 001; Karen Brannon; Inderpal Narang; Hui-I Hsiao; Mahadevan Subramanian (SIGMOD Conference, 2002)

Ext4: The Next Generation of Ext2/3 Filesystem. - Mingming Cao; Suparna Bhattacharya; Ted Ts'o (LSF, 2007)

Reuse, Recycle to De-bloat Software. - Suparna Bhattacharya; Mangala Gowri Nanda; Kanchi Gopinath; Manish Gupta (ECOOP, 2011)

Virtually Cool Ternary Content Addressable Memory. - Suparna Bhattacharya; Kanchi Gopinath (HotOS, 2011)

The interplay of software bloat, hardware energy proportionality and system bottlenecks. - Suparna Bhattacharya; Karthick Rajamani; K. Gopinath; Manish Gupta (HotPower@SOSP, 2011)

Software Bloat and Wasted Joules: Is Modularity a Hurdle to Green Software? - Suparna Bhattacharya; Kanchi Gopinath; Karthick Rajamani; Manish Gupta (Computer, 2011)

Does lean imply green?: a study of the power performance implications of Java runtime bloat. - Suparna Bhattacharya; Karthick Rajamani; Kanchi Gopinath; Manish Gupta (SIGMETRICS, 2012)

Enterprise context: a rich source of requirements for context-oriented programming. - Sam S. Adams; Suparna Bhattacharya; Bob Friedlander; John Gerken; Doug Kimelman; Jim Kraemer; Harold Ossher; John T. Richards; David M. Ungar; Mark N. Wegman (COP@ECOOP, 2013)

Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically. - Mrinal Kanti Das; Suparna Bhattacharya; Chiranjib Bhattacharyya; Kanchi Gopinath (ICML (2), 2013)

Combining concern input with program analysis for bloat detection. - Suparna Bhattacharya; Kanchi Gopinath; Mangala Gowri Nanda (OOPSLA, 2013)

Effective switch memory management in OpenFlow networks. - Anilkumar Vishnoi; Rishabh Poddar; Vijay Mann; Suparna Bhattacharya (DEBS, 2014)

SEeSAW - Similarity Exploiting Storage for Accelerating Analytics Workflows. - Kalapriya Kannan; Suparna Bhattacharya; Kumar Raj; Muthukumar Murugan; Doug Voigt (HotStorage, 2016)

Store-Edge RippleStream: Versatile Infrastructure for IoT Data Transfer. - Madhumita Bharde; Annmary Justine K; Suparna Bhattacharya; Dileep Deepa Shree (HotEdge, 2018)

GradeSense: Gradation Aware Storage for Robust Activity Recognition in a Multimodal Smarthome. - Madhumita Mallick; Niloy Ganguly; Suparna Bhattacharya (MDM, 2020)

Multi-criteria online frame-subset selection for autonomous vehicle videos. - Soumi Das; Sayan Mandal; Ashwin Bhoyar; Madhumita Bharde; Niloy Ganguly; Suparna Bhattacharya; Sourangshu Bhattacharya (Pattern Recognit. Lett., 2020)

TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving. - Soumi Das; Harikrishna Patibandla; Suparna Bhattacharya; Kshounis Bera; Niloy Ganguly; Sourangshu Bhattacharya (ICCV, 2021)

Data-Aware Storage Tiering for Deep Learning. - Cong Xu; Suparna Bhattacharya; Martin Foltin; Suren Byna; Paolo Faraboschi (PDSW@SC, 2021)

Finding High-Value Training Data Subset Through Differentiable Convex Programming. - Soumi Das; Arshdeep Singh; Saptarshi Chatterjee; Suparna Bhattacharya; Sourangshu Bhattacharya (ECML/PKDD (2), 2021)

Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving. - Soumi Das; Harikrishna Patibandla; Suparna Bhattacharya; Kshounis Bera; Niloy Ganguly; Sourangshu Bhattacharya (CoRR, 2021)

Self-learning Data Foundation for Scientific AI. - Annmary Justine; Sergey Serebryakov; Cong Xu; Aalap Tripathy; Suparna Bhattacharya; Paolo Faraboschi; Martin Foltin (SMC, 2022)

CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection. - Soumi Das; Manasvi Sagarkar; Suparna Bhattacharya; Sourangshu Bhattacharya (CoRR, 2022)

Dataset Efficient Training with Model Ensembling. - Yeonju Ro; Cong Xu; Agnieszka Ciborowska; Suparna Bhattacharya; Frankie Li; Martin Foltin (CVPR Workshops, 2023)

From Roots to Fruits: Exploring Lineage for Dataset Recommendations. - Tarun Kumar; Arpit Shah; Ashish Mishra 005; Suparna Bhattacharya; Arun Mahendran; Ted Dunning; Glyn Bowden (DEC@SIGMOD, 2023)

Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning. - Gayathri Saranathan; Martin Foltin; Aalap Tripathy; Maxim A. Ziatdinov; Ann Mary Justine Koomthanam; Suparna Bhattacharya; Ayana Ghosh; Kevin Roccapriore; Sreenivas Rangan Sukumar; Paolo Faraboschi (SC Workshops, 2023)

Trustworthy AI and Data Lineage. - Elisa Bertino; Suparna Bhattacharya; Elena Ferrari 001; Dejan S. Milojicic (IEEE Internet Comput., 2023)

Active Learning Surrogates for Integrating Electron Microscopy and Computational Insights from Simulations in Autonomous Experiments. - Gayathri Saranathan; Ayana Ghosh; Martin Foltin; Ann Mary Justine Koomthanam; Aalap Tripathy; Maxim A. Ziatdinov; Suparna Bhattacharya; Kevin Roccapriore; Paolo Faraboschi (SC Workshops, 2024)

LLM-Guided Counterfactual Data Generation for Fairer AI. - Ashish Mishra 005; Gyanaranjan Nayak; Suparna Bhattacharya; Tarun Kumar; Arpit Shah; Martin Foltin (WWW (Companion Volume), 2024)

VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI. - Soumi Das; Shubhadip Nag; Shreyyash Sharma; Suparna Bhattacharya; Sourangshu Bhattacharya (CoRR, 2024)

Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling. - Cong Xu; Gayathri Saranathan; Mahammad Parwez Alam; Arpit Shah; James Lim; Soon Yee Wong; Foltin Martin; Suparna Bhattacharya (CoRR, 2024)

Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. - Revathy Venkataramanan; Aalap Tripathy; Tarun Kumar; Sergey Serebryakov; Annmary Justine; Arpit Shah; Suparna Bhattacharya; Martin Foltin; Paolo Faraboschi; Kaushik Roy 009; Amit P. Sheth (Frontiers Big Data, 2024)

Common Metadata Framework: Integrated Framework for Trustworthy Artificial Intelligence Pipelines. - Ann Mary Justine Koomthanam; Aalap Tripathy; Sergey Serebryakov; Gyanaranjan Nayak; Martin Foltin; Suparna Bhattacharya (IEEE Internet Comput., 2024)

SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation. - Gayathri Saranathan; Cong Xu; Mahammad Parwez Alam; Tarun Kumar; Martin Foltin; Soon Yee Wong; Suparna Bhattacharya (ACL (1), 2025)

CheckSelect: Online Checkpoint Selection for Flexible, Accurate, Robust, and Efficient Data Valuation. - Soumi Das; Manasvi Sagarkar; Suparna Bhattacharya; Sourangshu Bhattacharya (IEEE Trans. Artif. Intell., 2025)