The paper Amortized Bayesian Inversion of Multi-Contrast Neutron Reflectometry by Roberto D. Herrera, Mithilesh Gollapelli, Upasana Roy, Konstantina Sokratous, Minh D. Phan, Prasad Calyam, Clintin Stober, and Tanu Malik got accepted at the 13th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2026), held October 6-9, 2026 in New Delhi, India. Congrats Roberto and Mithilesh!
News
News
Latest updates, publications, and milestones from the Radiant Systems Lab.
Recent News
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The paper CAMP: Consumption-Aware Memory Prediction for Scientific Workflows by Nagarjuna Chowdary Kandimalla, Bhanu Prakash Vangala, and Tanu Malik got accepted at the 21st Workshop on Workflows in Support of Large-Scale Science (WORKS 2026), held with SC26 on November 15, 2026 in Chicago, Illinois. Congrats Nagarjuna and Bhanu!
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Md Saiful Islam, Douglas Thain, A S M Shahadat Hossain, and Tanu Malik will present the tutorial Portable By Design: Deploying Notebook-based Scientific Workflows across HPC Clusters at IEEE eScience 2026, held September 28-October 2, 2026 in Naples, Italy.
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Tanu Malik presents Backpacks and Black Boxes: Reproducible Science When AI Writes the Code as an invited keynote at IEEE eScience 2026 on October 1, 2026.
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The paper Porting Linux-based Application Virtualization Tools to Apple Silicon - Challenges and Experiences by Crossen, A., and Malik, T. got accepted at the 4th ACM Conference on Reproducibility and Replicability (ACM REP ‘26). Congrats Alex!
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The paper AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents by Bhanu Prakash Vangala, Ashish Gehani, and Tanu Malik got accepted at the 4th ACM Conference on Reproducibility and Replicability (ACM REP ‘26). Congrats Bhanu!
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The paper Declare, Resolve, Reuse: A Portable Data Layer for Notebook Workflows Across HPC Systems by Md Saiful Islam, Reyer Band, Jin Zhou, Tanu Malik, Kevin Lannon, and Douglas Thain got accepted at the 22nd IEEE International Conference on eScience (eScience 2026). Congrats Saiful!
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The paper Pick and Spin: Cold-Start-Aware Routing for Self-Hosted LLM Serving by Vangala, B. P., and Malik, T. got accepted at the 2026 IEEE International Conference on Cloud Computing (CLOUD 2026). Congrats Bhanu!
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The paper Semantically-Aligned Data Carving for Robust Reproducibility by Ashish Gehani, Raffay Atiq, Tanu Malik, and Fareed Zaffar got accepted at ACM PEARC, which was held July 26-30, 2026 in Minneapolis, Minnesota. Congrats Raffay!
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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.
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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!
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The paper Efficiently Reproducing Distributed Workflows in Notebook-based Systems by Talha, Azaz. Raza, Ahmad. and Malik, Tanu. got accepted at the 26th IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGrid 2026). Congrats Talha, Azaz, and Raza Ahmad!
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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.
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The paper AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents by Vangala, B. P., Adibifar, A., Gehani, A., and Malik, T. got accepted at the Reproducible Artificial Intelligence (RAI2025) Workshop. Congrats Bhanu!
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The paper Efficient Multi-Model Orchestration for Self-Hosted Large Language Models by Bhanu Prakash Vangala and Tanu Malik got accepted at the Deployable Artificial Intelligence (DAI2025) Workshop. Congrats Bhanu!
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The paper SCALPEL: Structured Content Access Logging and Pruning for Efficient Layouts by Atiq, R., Gehani, A., Malik, T., and Zaffar, F. got accepted at the 2025 IEEE International Conference on eScience. Congrats Raffay!
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The paper Backpacks for Notebooks: Enabling Containerized Notebook Workflows in Distributed Environments by Islam, M. S., Azaz, T., Ahmad, R., Hossain, A. S. M. S., Baig, F., Wang, S., Lannon, K., Malik, T., and Thain, D. got accepted at the 2025 IEEE International Conference on eScience. Congrats Saiful, Talha, and Raza!
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Ahmad Raza’s manuscript Improving Reproducibility of Interactive Notebooks using Application Virtualization was accepted in Future Generation Computer Systems.
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Welcome Ziyang Jia to the Radiant-Systems Lab at Mizzou as a new PhD student!
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The paper ‘Similarity-Based Assessment of Computational Reproducibility in Jupyter Notebooks’ by Hossain, A. S. M. S., Brown, C., Koop, D., and Malik, T. got accepted at the 2025 ACM Conference on Reproducibility and Replicability (ACM REP ‘25), Vancouver, Canada.
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The paper Accurate Differential Analysis using Record and Selective Replay by Nakamura, Y., Chu, X., Laguna, I., and Malik, T. got accepted at the 37th International Conference on Scalable Scientific Data Management. Congrats Yuta!
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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.
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Welcome Shankaradithyaa Venkateswaran, an undergraduate student from IISc, joining as a research intern in the lab!
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Congratulations to Bhanu Prakash Vangala on receiving the Outstanding Masters Student Award at the Mizzou Engineering Awards Banquet 2025!
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The paper Accurate Path Prediction of Provenance Traces by Ahmad, R., Jung, H. Y., Nakamura, Y., and Malik, T. got accepted at the 33rd ACM International Conference on Information and Knowledge Management (CIKM). Congrats Raza and Yuta!
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The paper FAIR Assessment of Cloud-based Experiments by Krishna Kamath, Nicole Brewer, and Tanu Malik got accepted at the 4th Workshop on Reproducible Workflows, Data Management, and Security (ReWoRDS). Congrats Krishna and Nicole!
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‘Differential Analysis for System Provenance’ accepted to the PhD Symposium at the 40th IEEE International Conference on Data Engineering (ICDE). Congratulations Yuta Nakamura!
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‘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!
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‘Kondo: Efficient Provenance-driven Data Debloating’ accepted to the 40th IEEE International Conference on Data Engineering (ICDE). Congratulations Aniket Modi and Rohan Tikmany!
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‘Reproducible eScience: The Data Containerization Challenge’ in the Future of eScience track at IEEE eScience’23.
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‘Efficient Differencing of System-level Provenance Graphs’ accepted to the ACM International Conference on Knowledge Management (CIKM). Congratulations Yuta Nakamura!
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‘Towards Shareable and Reproducible Cloud Computing Experiments’ accepted to IEEE CloudSummit! Our vision of how to reproduce cloud-based experiments.
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DICE Lab presents several posters and a talk on ‘Reproducible Notebook Containers’ at the 10th Greater Chicago Area Systems Research Workshop (GCASR).
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‘Querying Container Provenance’ accepted to ACM Theory and Practice of Provenance at ProvenanceWeek. Congratulations Aniket Modi and Moaz Reyad!
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Our paper ‘IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility’ accepted to IEEE Access.
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Yuta Nakamura presents ‘Provenance-based Workflow Diagnostics Using Program Specification’ at the 29th IEEE International Conference on High Performance Computing, Data, and Analytics.
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The first ACM Conference on Reproducibility and Replicability. Please consider contributing!
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COV882: Resource Virtualization With Containers was well received at IIT Delhi. Thanks to the IIT Delhi students for a wonderful experience!
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‘Reproducible Notebook Containers using Application Virtualization’ nominated as the Best Student Paper at eScience’22! Congrats Raza Ahmad and Nithin Manne.
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‘Provenance-based Workflow Diagnostics Using Program Specification’ accepted to the 29th IEEE International Conference on High Performance Computing, Data, and Analytics. Congrats Yuta Nakamura!
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Nithin presents ‘CHEX: Multiversion Replay with Ordered Checkpoints’ at VLDB’22.
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‘Reproducible Notebook Containers using Application Virtualization’ nominated as the Best Student Paper at eScience’22!
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DICE Lab is funded by the NASA AIST program for advancing reproducible containers to collaborative analytics! Elated to extend Sciunit to NASA workflows!
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‘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.
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Tanu Malik presents Reproducibility and Transparency Practices in HPC at the 2022 SIAM Conference on Parallel Processing for Scientific Computing.
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Dai Hai Ton That presents ‘Learned Distribution Index for Column Stores’ at IEEE Big Data 2021.
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Tanu Malik is organizing Theory and Practice of Provenance. Please consider submitting.
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Tanu Malik participates in the SC21 Panel on computational reproducibility. Check out ‘Reproducibility in HPC: Passing Fad or a Work in Progress?’.
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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.
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The survey paper on ‘Reproducibility Practice in High-Performance Computing: Community Survey Results’, in collaboration with Beth Plale and Line Pouchard, is published!
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Several mentions of DICE group members at ProvenanceWeek’21: - Tanu Malik successfully organizes Theory and Practice of Provenance. - Raza Ahmad presents Practical Provenance Privacy Protection. - Yuta Nakamura presents the TaPP 2020 paper on ‘Efficient Provenance Alignment in Reproduced Executions’. Slides are here.
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Two new interns, Shilvi Satpati and Shravan RaviShankar, join DICE Lab!
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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.’
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Nithin Manne leaves to join a job at Argonne National Lab. Congrats, Nithin!
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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.
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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!
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James Wagner, a PhD student at DePaul, advised by our collaborator Alex Rasin and co-advised by Tanu Malik, successfully defends his PhD thesis! We wish Jay a successful career in his new position as Assistant Professor at the University of New Orleans. Jay also publishes two short papers:
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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.
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Yuta Nakamura joins the lab as its first PhD student. Welcome, Yuta!
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Raza Ahmad joins the DICE Lab. Welcome, Raza!
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Dai Hai Ton That leaves DICE to join as a Research Scientist at the University of Alabama, Huntsville!