Ann Mary Justine Koomthanam

According to our database, Ann Mary Justine Koomthanam authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hard to See, Hard to Label: Generative and Symbolic Acquisition for Subtle Visual Phenomena.

Renjith Prasad, Rishabh Sharma, Andrew E. Shao, Ann Mary Justine Koomthanam, Shreyas Kulkarni, Suparna Bhattacharya, Martin Foltin, Amit P. Sheth, David Orozco, Matthew Quinn, Brian Sammuli

CoRR, April, 2026

2025

Framework for tracking metadata, lineage and model provenance in hybrid simulation-AI HPC exascale workflows.

Martin Foltin, Andrew E. Shao, Rishabh Sharma, Shreyas Kulkarni, Ann Mary Justine Koomthanam, Aalap Tripathy, Cong Xu, Wenqian Dong, Suparna Bhattacharya, Brian Sammuli, Paolo Faraboschi

Proceedings of the Cray User Group, 2025

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

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, Amit P. Sheth

Frontiers Big Data, 2024

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

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Towards FAIR Workflows for Federated Experimental Sciences.

Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Annmary Justine, Maxim A. Ziatdinov, Ayana Ghosh, Kevin Roccapriore, Supama Bhattacharya, Paolo Faraboschi

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023

Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability.

Revathy Venkataramanan, Aalap Tripathy, Martin Foltin, Hong Yung Yip, Annmary Justine, Amit P. Sheth

IEEE Internet Comput., 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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Self-learning Data Foundation for Scientific AI.

Annmary Justine, Sergey Serebryakov, Cong Xu, Aalap Tripathy, Suparna Bhattacharya, Paolo Faraboschi, Martin Foltin

Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022

2018

Store-Edge RippleStream: Versatile Infrastructure for IoT Data Transfer.

Madhumita Bharde, Annmary Justine K, Suparna Bhattacharya, Dileep Deepa Shree

Proceedings of the USENIX Workshop on Hot Topics in Edge Computing, 2018