Accepted posters

We accepted 44 outstanding posters from 56 submissions.

• Abhijit Chunduru, Matthew Joel, Zilinghan Li and Ravi Madduri, Towards Global Federated Genome-Wide Association Meta-Analysis Using GA4GH TES
• Alberto Mulone, Iacopo Colonnelli, Marco Edoardo Santimaria, Marco Aldinucci and Michela Taufer, Quantifying reusability in scientific workflows
• Alessandro Del Prete, Zahida Mashaallah and Flora Amato, Adaptive Continuum Computing for Resilient Predictive Maintenance
• Aurelio Murolo, Matteo Celeste Cozzolino, Antonio Marino, Matteo Aruta, Francesco Stellato and Salvatore Cuomo, From Snapshots to Spectra: Low-Rank piDMD Supervision for Memory-Efficient PINNs
• Azat Shakirov and Jurdana Iqrah, Defending a Small-Model Chatbot Against a Stronger Attacker: An Ablation of Four Low-Cost Mitigations
• Carmine Coppola, Vincenzo Bucciero, Simone Perrotta and Raffaele Montella, Edge-Based Dual-Sensor Perception for Maritime Safety Monitoring
• Catherine Alessandra Torres Charles and Jesus Carretero, Adaptive Data Transport for Workflow Engines in Computing Continuum Environments
• Dani Termaat, Nafiseh Soveizi, Marios Avgeris and Zhiming Zhao, LLMCrater: Lifecycle-Aware FAIR Metadata Generation using Large Language Models
• Daniela Cassol, Mario Melara, Seung-Jin Sul, Ramani Kothadia, Joshua Boverhof, Ludovico Bianchi, Setareh Sarrafan, Mike Sneddon and Kjiersten Fagnan, Why is sharing your scientific workflows still so hard? Building FAIR workflows with JAWS
• Dante Sánchez-Gallegos, Scientific Workflows from Zero to Hero with DAGonStar: A Primer for AI--HPC Computational Environmental Science
• Diana Di Luccio, Dario Caramiello, Francesco Peluso, Francesca Barchiesi, Erika Calandri, Francesca Leoni, Elena Roccheggiani, Simone Bacchiocchi, Germana Colarusso, Maurizio Della Rotonda, Giorgio Smaldone, Marco Esposito and Raffaele Montella, A Scalable HPC and AI Workflow for Microbial Risk Assessment Forecasting in Mussel Farming
• Didier Barradas-Bautista, Accelerated Data Science with RAPIDS : A Hands-On Tutorial for eScience 2026"
• Eli Chadwick, Sanskrit Suthar, Phil Reed, Stian Soiland-Reyes, Peter Sefton and Carole Goble, RO-Crate: Packaging research outputs with FAIR metadata for reproducibility across domains
• Finn Bacall, Stian Soiland-Reyes, Stuart Owen, Nick Juty, Munazah Andrabi, Phil Reed, Johan Gustafsson, Sanskrit Suthar and Carole Goble WorkflowHub: A FAIR Registry for Computational Workflows Across Scientific Domains
• Frédéric Suter, Kelsey Carter, John Lagergren, Shelaine Curd, Rafael Ferreira da Silva and David Weston, Cassiopeia: Context-Aware Semantic Search for Inspiring Original Plant Experiments and Investigations at APPL
• Gabriele Padovani, Nicola Giuseppe Marchioro, Simone Brentan, Marco Robol and Sandro Fiore, End-to-End Provenance for Scientific Workflows with the yProv Ecosystem
• Genaro Sánchez-Gallegos, Javier Garcia Blas and Jesus Carretero, Integrating Malleability into HERCULES Ad-Hoc File System
• Hung Du, Srikanth Thudumu, Rajesh Vasa and Kon Mouzakis, A Benchmark and Temporal-Aware Coordination Protocol for Decentralized Agent Teams
• Jakub Seiner, Tomáš Jirsa, Jakub Steinbach and Jan Vrba, Preprocessing choices affect performance as much as many proposed algorithmic improvements
• Karan Jagdish Panjawani, Hardware and Transport Can Reverse Resume: Integrity-Checked Quantum Simulation Recovery
• Lorenzo Breschi and Flavio Vella, GPU-Resident Compression for Climate Model Communication
• Magaranth Rajkumar and Weijian Zheng, When Fusion Outruns Resolution: Acoustic and Satellite Nightlight Data for Urban Bird Stressors
• Makhmoor Fiza Murk, Daniela Annunziata and Francesco Piccialli, rustworthy Aggregation of Heterogeneous LoRA for Fine-tuning Federated Large Language Models
• Marzia Canzaniello, Daniela Annunziata, Sara Amitrano, Lingyu Qiu, Stefano Izzo, Fabio Giampaolo and Francesco Piccialli, Pretrained Representations as a Driver of One-Shot Federated Learning
• Md Saiful Islam, Talha Azaz, Raza Ahmad, A S M Shahadat Hossain, Furqan Baig, Shaowen Wang, Kevin Lannon, Tanu Malik and Douglas Thain, Portable By Design: Deploying Notebook-based Scientific Workflows across HPC Clusters
• Michail D. Vrettas and Stefano Silvestri, Evolutionary Algorithms Integrated on the SoBigData Research Infrastructure
• Mohssin Assaban, Nafis Tanveer Islam and Zhiming Zhao, Static and Runtime-Based Research Software Quality Assessment and Repair using LLM
• Nageswara Rao Pedasingu, Hung Du, Gaurav Avula, Srikanth Thudumu and Jason Fisher, Centralized vs Decentralized Multi-Agent Coordination for Severity-Aware Emergency Dispatch
• Nestor Bravo Egea, Carles Carrillo, Javier Panadero and Ana Cortés, A Simulation-Based Framework for Anticipating the Transition to Deep Pyroconvection in Extreme Wildfires: A Preliminary Approach
• Paul-Julius Hillmann, Anna-Lena Lamprecht and Jan Mendling, Toward a Better Understanding of Software Use in Science
• Quinn Austin, Jason Chamorro and Jared Coleman, Agent-Synthesized Hypotheses: Charting the Performance Boundaries of Workflow Schedulers
• Robert B. Allen, Semantic Models of Research Phenomena
• Robert Schuler, CASTER: A Lightweight On-Ramp to Continuous FAIRness for Small-Team Machine Learning
• Sandesh Dhakal and Jurdana Masuma Iqrah, Granule: Retrieval-Augmented Generation for Grounded Question Answering over ICESat-2 ATL03 Documentation
• Sehyun Shim and Sanghoon Kwon, Relationship-Based Navigation for Research Context Exploration Across Institutional Research Information
• Simone Boscaglia, Ivan Cafiero and Raffaele Montella, Level Up Computer Architecture Courses: Native RISC-V Coding with PRG32
• Steffen Strohm, Alicia Martín-Navarro, Jose Aurelio Medina-Garrido and Andrea Göhring, From Concept to Tool: Cross-Disciplinary Focus Groups on Modular Research Processes
• Sungjoon Kim and Kyungjae Lee, Does Spatial Grounding Reduce LLM Hallucination? A Controlled Ablation Separating Veracity from Attachment
• Tomáš Jirsa, Jan Vrba, Jakub Seiner and Zuzana Komínková Oplatková, Reproducibility of Metaheuristic Voice Pathology Detection: A Protocol Proposal
• Wassapon Watanakeesuntorn, Kohei Taniguchi, Junya Yamamoto, Keichi Takahashi, Chonho Lee, Hirotake Abe, Arata Endo and Susumu Date, Distributed Online Deep Q-Learning for Deadline-Aware Packet Forwarding
• Xuyang Kang, Amrey Krause and Rosa Filgueira, nb2kf: Autonomous Multi-Agent Conversion of Jupyter Notebooks into Portable Kubeflow Pipelines
• Yeshvant Matey, Raymond de Callafon and Ilkay Altintas, Finite-Action Scenario Model Predictive Control for Active Wildfire Suppression
• Zahida Mashaallah, Alessandro Del Prete and Flora Amato, Underwater Image Reconstruction Using Sea-Thru with Sonar-Derived Depth Maps
• Zhexu Jin, Kum-Won Cho, Gon-Hong Kim and Jung-Hun Shin, A High-Resolution Diffusion Model for Steady-State CFD Flow Prediction