Accepted papers

We accepted 55 outstanding papers to the main track and 26 sharpening/short papers from 186 submissions.

Main Track

• Ahmed Khalil, Federica Bazzocchi, Tommaso Rodani and Stefano Cozzini, sem-meta: A Unified Workflow for SEM Metadata Extraction, OCR-Pixel Size Recovery, and Scale
• Aniello Castiglione, Jacopo Gennaro Esposito, Vincenzo Loia, Michele Nappi, Catalin Negru and Florin Pop, Quantum-Resilient Edge-to-Cloud Cyberinfrastructure for Secure Distributed Marine Environmental Monitoring
• Antonio Vocino, Alessandro Bottino, Vincenzo Vocca, Marco Lapegna, Andrea Salvatore, Andrea Sollai and Roberto Tessitore, Blind Single-Image Restoration and Super-Resolution with Inverse PINNs and Trainable PDE Priors
• Ashish Tulso Ramrakhiani, Nolan Cutler, R. Quinn Thomas, Cayelan C. Carey, Austin D. Delany, Izzy Lerman, Owen Wickman and Renato J. Figueiredo, EphFlow: Cross-Platform FaaS Workflows with Serverless Ephemeral VM Orchestration
• Ashok Srinivasan, Tyler Kass, John Coffey, Sirish Namalie and Joel Ward, LLM-Augmented Cyberinfrastructure for Finding and Reusing Mathematical Models from Scientific Literature in Simulation Software
• Daniel S. Katz, Suditi Chand and Anshu Dubey, Research Software Phases and Types of RSEs
• Denise Brancaccio, Aniello Castiglione, Carmen De Maio, Sara Felice, Alessia Maffei and Sabina Pia Troisi, Proof of Presence: A Liveness-Based Paradigm for AI-Resistant Human Verification
• Emmanuel Nyandu Kagarabi, Elaheh Saadat and Valerio Piomponi, DPCexplorer: A Django Web Application for Interactive Exploration of DPCfam and DPCstruct Protein Domain Classifications
• Ethan Klasky, Jaemoon Lee, Qian Gong, Tushar Athawale, Dave Pugmire, Norbert Podhorszki, Ana Gainaru, Anand Rangarajan, Sanjay Ranka, Hank Childs and Scott Klasky, Convergence-Calibrated Compression for Contour-Stable CFD Visualization
• Fabrizio Marozzo and Loris Belcastro, LLM-Assisted Deployment Planning for Industrial IoT Workflows Across the Edge-Cloud Continuum
• Gabriel Núñez-Vivanco and Bastián Peña-Hurtado, An AI Early Warning Tool for Pollution-Driven Respiratory Emergency Demand in a Remote City
• Hai Nguyen, Tekin Bicer, Kyle Chard, Ian Foster and Bogdan Nicolae, LLM Agents as Resilience Engineers for Scientific Applications
• Han Zhang and Lipeng Wan, DATASPEAK: Generation of Trustworthy Descriptions for Scientific Datasets via LLM-Driven Role-Based Multi-Agent Debate
• Honglin Zhang, Lei Fang, Juan Ye and Rosa Filgueira, RepoSnipy-LLM: Structured Knowledge-Grounded Explanations for Scientific Software Mining
• Hua Xu, Jaime Cernuda, Xian-He Sun, Michela Taufer, Nigel Tan, Anthony Kougkas, Ana Gainaru, Josh Teves, Kevin Assogba, Bogdan Nicolae, Line Pouchard, Curtis Brinker, M. Mustafa Rafique, Scott Klasky and Jay Lofstead, Rich I/O-centric Derived Quantity Operators for Advanced In Situ Processing
• Hyeokjin Kwon, Saimir Bala, Anna-Lena Lamprecht and Jan Mendling, What Happens in Scientific Workflow Repositories? A Large-Scale Study of Snakemake and Nextflow
• Imen Chaari, Mouna Baklouti and Saber Feki, From Notebook Lab Bundles to Operationalized Cloud Environments for Reproducible Training
• Izzet Yildirim, Xian-He Sun and Anthony Kougkas, AgentStage: Exploiting LLM Thinking for Data Staging in Scientific Agents
• Jaiaid Mobin, Avinash Maurya, M. Mustafa Rafique and Bogdan Nicolae, Unipipe: Unified Inference Serving and Fine-Tuning for Deadline-Constrained DNN Surrogate Workflows
• Jericho Jericho Guanga, Al Jann Jakilan and Rugian Suratos, DermaTrack: An API-Based Mobile Decision Support Application for Facial Acne Monitoring and Dermatologist Review
• Jessica Kendall-Bar, Will Gislason, Amarnath Gupta, Subhasis Dasgupta, Paul J. Ponganis and İlkay Altıntaş, EcoPhysViz: Scalable Visual Analysis Workflows for Physio-Logging with Animal Borne Sensors
• Joseph Wonsil, Rúbia Guerra, Adam Pocock, Jack Sullivan and Margo Seltzer, Embracing Emergence: Exploring the Conflict Between Data Science Workflows and Tooling
• Kai Lin, Mai Nguyen, Tainā Coleman and Ilkay Altinas, ARGUS: Agentic Researcher Guide for Unified Science – From Natural Language Questions to Reproducible Scientific Results
• Keith Bateman, Jaime Cernuda, Luke Logan, Bogdan Nicolae, Franck Cappello, Xian-He Sun and Anthony Kougkas, Agent Error Simulator: Fault Injection for Testing Recovery in Agentic Workflows
• Khalid Belhajjame and Yuyan Zhao, An Interpretive Provenance Model for ScientificReasoning: A Computational Biology Study
• Komal Thareja, Krishnan Raghavan, Hamza Safri, Anirban Mandal and Ewa Deelman, SWARM+: Scalable and Resilient Multi-Agent Consensus for Decentralized Data-Aware Workload Management
• Komal Thareja, Paul Ruth, Berent Aldikacti and Michael Zink, AI-Assisted Computational Reproducibility on the FABRIC Testbed
• Liangji Zhu, Sanjay Ranka and Anand Rangarajan, Residual Modeling for High-Fidelity Learned Compression of Scientific Data
• Marco Edoardo Santimaria, Rosa Filgueira, Iacopo Colonnelli and Marco Aldinucci, PyCAPIO - Transparent Streaming in File-Based Python Workflows
• Mario Frank, Sebastian Müller, Akshay Devkate and Anna-Lena Lamprecht, How do Researchers Test their Software? A Repository Mining Study of JOSS-Published Projects
• Max Morris, Lucas Timotheo Sanches and Steven R. Brandt, The Einstein Engine: A Modular Code Generator for GPU Simulations in the Modern Era
• Md Saiful Islam, Reyer Band, Jin Zhou, Tanu Malik, Kevin Lannon and Douglas Thain, Declare, Resolve, Reuse: A Portable Data Layer for Notebook Workflows Across HPC Systems
• Michael Elliott, Manuel Luciano and José Fortes, iChatBio: an Extensible Agentic System for Scientific Exploration and Integration of Open Biodiversity Data
• Miriam Baglioni, Giambattista Bloisi, Sandro La Bruzzo and Paolo Manghi, AIDeR: Precision-Oriented Author Name Matching for FAIR Scholarly Metadata Enrichment at Scale
• Modhurita Mitra, Jan-Willem Versteeg, Maarten Schermer, Shiva Nadi Najafabadi, Marie De Bruin and Lourens Bloem, Schema-Guided Hierarchical Information Extraction and Semantic Evaluation Using Generative AI
• Mohammed Mshragi, Ioan Petri and Omer Rana, On-Device FPGA Block-Minifloat Model Training Acceleration for Energy Forecasting
• Mohsin Rasheed, Ahmed Aleroud and Abdullah Al-Mamun, SHIELD: Lightweight Provenance-Aware Distributed Image Vector Management for Semantic Identity Reconstruction and Verification
• Natallia Kokash, Adam Belloum, Paola Grosso and Bernard de Bono, Building Infrastructure for Programmable Integration of Physiology Models
• Nessrine Aloulou, Cherif Yesmine, Mouna Baklouti, Maha Charfeddine and Saber Feki, A Conversational Agentic Pipeline for Workload-Guided HPC Server Configuration
• Nicola Giuseppe Marchioro, Gabriele Padovani, Amal Gueroudji, Rafael Ferreira da Silva, Wesley Brewer, Valentine Anantharaj, Sandro Fiore and Renan Souza, Workflow Cards: Structured Summaries of Workflow Executions Using Provenance Data
• Raees Khan, Sairam Sri Vatsavai, Kuan-Chieh Hsu, Rui Xue, Shengyu Feng, Fatih Akman, John Steele, Ozgur Kilic, Paul Nilsson, Tatiana Korchuganova, David Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Outschoorn, Norbert Podhorszki, Frederic Suter, Wei Yang, Yiming Yang, Zhaoyu Yang, Shinjae Yoo, Kenny Lo, Alexei Klimentov and Adolfy Hoisie, CGSim: A Simulation Framework for Large Scale Distributed Computing Infrastructures with AI-Driven Applications
• Raffaele Montella, Simone Boscaglia, Ivan Cafiero, Dario Caramiello, Paola Barra, Iacopo Colonnelli and Marco Lapegna, PRG32: A Retro-Gaming Platform for Teaching RISC-V Programming in Higher Education
• Rajni Parshuram Pawar, Luke Logan, Jaime Cernuda Garcia, Xian-He Sun and Antonios Kougkas, Acropolis: A Portable, AI-Driven Semantic Search System for HPC
• Rohan Patil, Charmi Patel, Rashi Jain, Yiyang Wang, Khizer Khan, Roselyne Tchoua, Alexandru Orhean, Jacob Furst and Daniela Raicu, A Visual-Semantic Framework for Explaining Generative Lung Nodule Transformations Via Siamese Network
• Samiul Ahsan Pranto and Kishwar Ahmed, Hyperdimensional Computing-Based Architecture for Bragg Peak Analysis
• Song Young Oh, Arham Khan, Mansi Sakarvadia, Haochen Pan, Seth Ockerman, Amal Gueroudji, Shivaram Venkataraman, Ian Foster and Kyle Chard, FROG: Federated Routing Over Geometries for Retrieval-Augmented Generation
• Sumaiya Azad, Yutian Qin, Saleem Alharir, Jess Tate, Simon Brewer and Manish Parashar, A Scientific Workflow for Forecast-Triggered Adaptive Sensor Orchestration across the Computing Continuum
• Woong Shin, Craig A. Bridges, Marshall T. McDonnell and Rafael Ferreira da Silva, Fantastic Scientific Agents and How to Build Them: AgentBuild for Rietveld Refinement
• Wouter Van den Berg, Rob van Nieuwpoort and Kristian Rietveld, Comparing Performance of GPU Abstractions in Bioimaging Pipelines
• Xingran Ruan, Lilin Yu, Michael Rovatsos and Rosa Filgueira, Agentic-ImpactLens: Using AI Agents to Communicate Research Impact Effectively
• Yazhou Wu and Shan Xu, Adaptive Curriculum-Based Soft Actor-Critic with Control Barrier Function Safety Constraints for Robot Navigation in Dynamic Industrial Environments
• Yi Ju, Diego Jiménez, Mou Lin, Jordy Trilaksono, Tilman Dannert, Ivy Peng, Stefano Markidis and Erwin Laure, Exploring Unified Shared Memory on AMD MI300A through Real-World Use Cases
• Zehua Zhu, Michael Elliott, Chia-Chen Kuo, José Fortes, Julia Jones and Renato Figueiredo, EONIAN: User-Guided Multi-Agent System for Cross-Provider Data Retrieval and Analysis
• Zhe Xu, Talha Mehboob, Michael Zink and Christopher Davis, FED-CAST: A Federated Training and Evaluation Workflow for Generative Precipitation Nowcasting Across Climate-Diverse Regions
• Zhiwei Li, Mike D'Arcy, Robert Schuler and Carl Kesselman, From Discovery to Publication: Toward Agent-Mediated Research Lifecycles

Short Papers

• Addi Malviya Thakur, Gregory Watson, Daniel S. Katz, Elaine M. Raybourn, M. Scot Breitenfeld and Bill Hoffman, Open-Source Software Foundations Are Rarely Direct Funding Mechanisms: What Scientific Software Projects Need, and What They Get
• Ai Lin Soo, David Abramson and Campbell Wilson, Research Data Growth Rates: An Australian Case Study
• Alan Malta Rodrigues and Douglas Thain, Hybrid Workflow Composition for Extreme-Scale Data Processing: A Case Study on the HL-LHC
• Attila Gyulassy, Steve Petruzza, Michael Sutherlin, Julianne Christopher, Jack Marquez, Kin Hong Ng, Aashish Panta, Giorgio Scorzelli, Amy Gooch, Glenn Tarcea, John Allison, Christine Kirkpatrick, Valerio Pascucci and Michela Taufer, Tensions between FAIR principles and scientific data practice from researcher interviews
• Barry Sly-Delgado and Douglas Thain, Fusion and Reshaping of Hidden Task Graphs for High Energy Physics Applications
• Giuseppe Fiorillo, Attilio Di Vicino, Luigi Galluccio, Diana Di Luccio, Yuri Cotroneo and Raffaele Montella, Federated Learning for Weather Forecasting Across Distributed Meteorological Station Networks
• Hugo Hiden, Paul Watson, Alison Yarnall, Silvia Del Din, Lynn Rochester and Lisa Alcock, Large Language Models for Clinical Studies: prototyping two approaches to study monitoring
• Isaac Nealey and Ilkay Altintas, Scene Annotation for Scientific Visualization with Spatiotemporal Knowledge Graphs
• Jaffar Gura, Khalid Belhajjame, Frédéric Lemoine and Sarah Cohen-Boulakia, From Execution Traces to Queryable Provenance in Nextflow Workflows
• Junya Yamamoto, Kohei Taniguchi, Wassapon Watanakeesuntorn, Hirotake Abe, Keichi Takahashi, Arata Endo, Chonho Lee and Susumu Date, Architecture of a Cooperative Kubernetes-TSN Scheduler for Latency-Guaranteed Applications
• Kazimier Smith, Yucheng Lu and Qiaochu Fan, From Funding to Findings (FIND): An Open Database of NSF Awards and Research Outputs
• Linden Brochu, Francis Bureau, Pacôme Gasnier, Pierre Jacquet and Camille Coti, Parallel Hybrid Quantum-Classical Computing: Programming Model and Platform Simulation
• Luisa Carracciuolo, Lorenza Ferrario, Valentina Abbate, Daniela Capuano, Annamaria Sabetta, Gennaro Gentile, Marino Lavorgna and Edoardo Bemporad, Development of NOMAD-based plugins for FAIR-oriented “digitalization” of materials characterization and fabrication processes within the iEntrance distributed infrastructure. A case study
• Manasa Pawar, Antonella Galizia and Nicoletta Noceti, Evaluating Direct and Autoregressive Forecasting Protocols for Neural Nowcasting
• Michael Polinski and Peter Dinda, Exploring A Novel Nudging Attack on Scientific Applications
• Molang Wu and Zhao Zhang, PACT: Towards Uniform Distributed Deep Learning Experience across GPU Clusters with a Retrieval-Enabled Toolchain
• Nicholas M. Synovic, Karolina Ryzka, Alessandra V. Vellucci Solari, Kenny Lyons, James C. Davis and George K. Thiruvathukal, An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
• Quoc Lap Trieu, Bahman Javadi and Jim Basilakis, Efficient Secure Multiparty Computation for Privacy-Preserving Inference in Edge Intelligence Applications
• Rasman Mubtasim Swargo, Nieb Hasan Neom and Md Arifuzzaman, Self-Tuning Segmented Retrieval of Large-Scale Genomic Data
• Renan Souza, Daniel Rosendo, Kelsey Carter, John Lagergren, Frédéric Suter, Shelaine Curd, Gerald Tuskan, Rafael Ferreira da Silva and David Weston, An Agentic AI Framework to Accelerate Scientific Discovery in Plant Phenotyping
• Richard Littauer, Kris Bubendorfer and Markus Luczak-Roesch, Data Rescue for Historic Scientific Literature: Automatically Extracting and Cross-Validating Published Records
• Sakshi Gorkhali, Binita Saha, Ankita Mishra, John Mazzeo, Roselyne Tchoua, Jamshid Sourati, Jacob Furst, Kelly McCabe, Sina Ansari and Daniela Stan Raicu, Multimodal Stacked Ensemble Learning for Hospital Readmission Prediction with Cost-Sensitive Analysis
• Simran Chauhan, Anees Abdallah, Dhruvik Malaviya, Rohan Kevadiya, Rahul Pandya, Sara Yavari, Tianjiao Wang and Roselyne Tchoua, Codebook-Guided LLMs for Social Ecological Coding of Breast Cancer Screening Focus Groups
• Tainā Coleman, Hena Ahmed, Ishayu Ghosh, Ismael Perez, Kai Lin, Mai Nguyen, Tara Javidi and Ilkay Altinas, Agents of Intelligence in Practice: A Multi-Agent Model Recommendation System for the National Data Platform
• Tommaso Colombo, Alessandro Pinzuti and Mario Vozza, Deterministic Orchestration of Molecular Dynamics Workflows Exploiting GenAI Agents Ecosystem
• Upasana Roy, Nilesh Salvi and Prasad Calyam, AI as a Labmate: A Survey of Co-Scientist Systems for Closed-Loop Experimental Science