News

Latest updates, publications, and milestones from the Radiant Systems Lab.

Recent News

  • The paper Semantically-Aligned Data Carving for Robust Reproducibility got accepted to ACM PEARC which is happening on July 26-30 2026, Minneapolis, MN.
  • Presentation on Lessons Learned from a Multi-Model Question Answering Pipeline on the Chameleon Testbed by Deshan Wattegama has been selected for the Sixth Chameleon User Meeting, taking place April 15–16, 2026 at NCAR’s Mesa Lab in Boulder, Colorado. 
  • Presentation on Evaluating Dependency Gaps in LLM-Generated Code by Bhanu Prakash Vangala has been selected for the Sixth Chameleon User Meeting, taking place April 15–16, 2026 at NCAR’s Mesa Lab in Boulder, Colorado. Congratulations Bhanu!
  • Bhanu Prakash Vangala presents AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents on Jan 26th and Efficient Multi-Model Orchestration for Self-Hosted Large Language Models on Jan27th at the AAAI 2026, Singapore.
  • Ahmad Raza’s manuscript accepted in Future Generation Computer Systems Improving Reproducibility of Interactive Notebooks using Application Virtualization.
  • Welcome Ziyang Jia to the Radiant-Systems Lab at Mizzou as a new PhD student!
  • Congratulations to Bhanu Prakash Vangala on graduating with his master’s degree in computer science! He is now continuing on to pursue his PhD in computer science at Mizzou.
  • Congratulations to Bhanu Prakash Vangala on receiving the Outstanding Masters Student Award at the Mizzou Engineering Awards Banquet 2025!
  • ‘Differential Analysis for System Provenance’ accepted to the PhD Symposium at the 40th IEEE International Conference on Data Engineering (ICDE). Congratulations Yuta Nakamura!
  • ‘Efficiently Reducing Storage Footprint in Reproducible Containers via I/O Specialization’ accepted to the 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid). Congratulations Aniket Modi, Rohan Tikmany, and Moaz Reyad!
  • ‘Kondo: Efficient Provenance-driven Data Debloating’ accepted to the 40th IEEE International Conference on Data Engineering (ICDE). Congratulations Aniket Modi and Rohan Tikmany!
  • ‘Reproducible eScience: The Data Containerization Challenge’ in the Future of eScience track at IEEE eScience’23.
  • ‘Efficient Differencing of System-level Provenance Graphs’ accepted to the ACM International Conference on Knowledge Management (CIKM). Congratulations Yuta Nakamura!
  • The First ACM Conference on Reproducibility and Replicability (ACM-REP) was a huge success! See a summary here.
  • ‘Towards Shareable and Reproducible Cloud Computing Experiments’ accepted to IEEE CloudSummit! Our vision of how to reproduce cloud-based experiments.
  • ‘Querying Container Provenance’ accepted to ACM Theory and Practice of Provenance at ProvenanceWeek. Congratulations Aniket Modi and Moaz Reyad!
  • Yuta Nakamura presents ‘Provenance-based Workflow Diagnostics Using Program Specification’ at the 29th IEEE International Conference on High Performance Computing, Data, and Analytics.
  • ‘Reproducible Notebook Containers using Application Virtualization’ nominated as the Best Student Paper at eScience’22! Congrats Raza Ahmad and Nithin Manne.
  • ‘Provenance-based Workflow Diagnostics Using Program Specification’ accepted to the 29th IEEE International Conference on High Performance Computing, Data, and Analytics. Congrats Yuta Nakamura!
  • Nithin presents ‘CHEX: Multiversion Replay with Ordered Checkpoints’ at VLDB’22.
  • ‘Reproducible Notebook Containers using Application Virtualization’ nominated as the Best Student Paper at eScience’22!
  • ‘Reproducible Notebook Containers using Application Virtualization’ accepted to eScience’22. Congrats Raza and Nithin.
  • DICE Lab is funded by the NASA AIST program for advancing reproducible containers to collaborative analytics! Elated to extend Sciunit to NASA workflows!
  • ‘Expanding the Scope of Artifact Evaluation at HPC Conferences: Experience of SC21’ accepted to the PRECS workshop at HPDC. Thanks to Anjo Vahldiek-Oberwagner for collaborating on this.
  • ‘CHEX: Multiversion Replay with Ordered Checkpoints’ accepted to VLDB. Congrats Nithin and Shilvi.
  • Dai Hai Ton That presents ‘Learned Distribution Index for Column Stores’ at IEEE Big Data 2021.
  • Tanu Malik and Anjo Vahldiek-Oberwagner successfully complete the SC21 Reproducibility Initiative Artifact Description and Artifact Evaluation. Our report is here. Artifacts are published here and here.
  • Dai Hai Ton That has a short paper at the ACM Conference on Scientific and Statistical Databases (SSDBM), 2021. The paper is ‘On Lowering Merge Costs of an LSM Tree.’
  • Nithin Manne leaves to join a job at Argonne National Lab. Congrats, Nithin!
  • Yuta Nakamura presents ‘Content-defined Merkel Trees’ at the 27th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2020. Slides are here.
  • Our paper on ‘Content-defined Merkel Trees’ is accepted at the 27th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2020. Congrats to Yuta on his first paper!
  • Several accolades for DICE members at ProvenanceWeek’20: - Raza Ahmad demonstrates ‘PROV-CRT: Provenance Support for Container Runtimes’. Watch the demo here. - Yuta Nakamura presents the paper on ‘Efficient Provenance Alignment in Reproduced Executions’. - Raza Ahmad also presents his past work at SRI on discrepancy detection in whole network provenance.
  • Yuta Nakamura joins the lab as its first PhD student. Welcome, Yuta!
  • Raza Ahmad joins the DICE Lab. Welcome, Raza!
  • Dai Hai Ton That leaves DICE to join as a Research Scientist at the University of Alabama, Huntsville!