ICCS 2026: 26TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

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A. Beloglazov, Leonid	Modelling Human Optimal Seeking Behaviour During Evaluation of Process Models With Subjective Complexity
Abad, Iago	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Acquaviva, Antonio	A Multiscale Modelling Framework for Endothelial Cells Monolayers: From RhoGTPase Network Dynamics to Barrier Integrity
Addo, Benjamin Agyare	Cross-Validation-Based Hierarchical Decision Tree Framework for Dispersed Data Classification
Ajmi, Faiza	Quantum-Inspired Simulated Annealing with Neural Guidance for Hospital Scheduling
Alexeev, Alexander	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
Alghamdi, Norah	Enhancing Critical Thinking with Multimodal Generative AI
Alghofaily, Dalya	Enhancing Critical Thinking with Multimodal Generative AI
Alqahtani, Alanoud	Enhancing Critical Thinking with Multimodal Generative AI
Alsahli, Reem	Enhancing Critical Thinking with Multimodal Generative AI
Alves, Joao	Data Assimilation with surrogate measurement equations
Alwizrah, Haya	Enhancing Critical Thinking with Multimodal Generative AI
Alyaev, Sergey	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
Amir, Sahar	Pore-Scale Modeling Framework with Embedded Boundaries and Automatic Jacobian Construction
Andrez, Marc-Olivier	Asapo: a data streaming platform for high performance data processing pipelines
Aplin, Steve	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Aragall, Olga Catalan	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations
Aranala Gurumoorthi, Preethi	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
Arcucci, Rossella	AI for Wildfire: Detection and Spread Forecasting via multi-source and multi-modal data-driven models Aligning and Assimilating Multi-source Data for Flood Forecasting
Arumugam Kumar, Gokul Raman	Phase Morphology of Ternary Mixtures under Shear
Arzeo, Marco	Data Assimilation with surrogate measurement equations
Asadi, Mehrdad	Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
Asai, Soma	Multigrid Solver for a Bulk Lightning Model Coupled with a Meteorological Model with Terrain-Following Coordinates
Asao, Shinichi	Fluid–Structure Interaction Simulation of an Emergency Recovery Parachute for a Flying Car Comparative Study of Numerical Analysis and Wind Tunnel Experiments on the Flight Behavior of a Quadcopter Drone under Disturbance Winds A Computational Framework for Evaluating Dynamic Motion Performance of Diversified eVTOLs using Fluid-Rigid Body Coupled Simulation with Route Tracking
Askaripour, Khadijeh	Topology-Agnostic Antennas: Surrogate-Assisted Optimization of Fabrication Yield in a Distributed Setup
Assaf, Rita Nathalia	Graph-Based Modeling of Alignment Relations and Pattern Detection
Augustyniak-Bartosik, Hanna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Aydemir, Özer	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology
Aznar-Poveda, Juan	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
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Bahiense da Silva Leite, Laura Silvia	An Implicitly Differentiable Framework for Physics-Informed Wind Turbine Blade Design Optimization
Balde, Mamadou Alpha Hawa	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora
Balestra, Stefano	Hybrid Two-Dimensional Wildfire Growth Model for High Resolution Environments
Banach, Dominik	Proactive Detection of Pedestrian Crossing Occlusions: Transforming Dashcams into Mobile Smart City Sensors
Bauer, Waldemar	Initial Study on Cancer Diagnosis using AI/NLP and Expert System Integration
Bazan-Socha, Stanisława	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Bekasiewicz, Adrian	Accurate Image-Based Reconstruction of Non-Parametric Antenna EM-Simulation Models Topology-Agnostic Antennas: Surrogate-Assisted Optimization of Fabrication Yield in a Distributed Setup
Bellaver, Anna	Learning Latent Economic Dynamics of Floods
Ben Othman, Sarah	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora Quantum-Inspired Simulated Annealing with Neural Guidance for Hospital Scheduling
Bensafir, Jassim	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora
Berdowski, Adrian	Could You Elaborate? A Multi-Perspective Evaluation of Query Reformulation in Retrieval-Augmented Generation
Beregovenko, Ilia	Modelling Traffic Policy with Drivers and Government Behavior using Evolutionary Game Theory
Bernacki, Jarosław	ViT-SpSH: A Hybrid Transformer-Spectral Head Architecture for Chromatic Aberration Detection and Localization
Bertoli, Gabriele	Aligning and Assimilating Multi-source Data for Flood Forecasting
Beylich, Matthias	Mechanistic Interpretability Tool for AI Weather Models
Bhat Yermal, Samarth	When One Becomes n: Realizing Distributed Concurrency with ARBOC
Biedroń, Grzegorz	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Biermann, Michael	RACCOONS: Data Management Library for High-Performance Astrometric Reduction Pipelines
Biesaga, Mikołaj	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
Blekman, Freya	Bit Level Data Unpacking Using Heterogeneous Architecture Setups
Blomer, Jakob	Aggregating Columnar Data on Cluster File Systems
Bloom, Adam	A Two-Stream CNN Framework for Spatiotemporally Resolved NO2 Estimates Using TEMPO and Sentinel-2 Satellite Data
Bobak, Martin	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Bobek, Szymon	Quantifying and Mitigating Epistemic Uncertainty in Local Rule‑Based Explanations Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
Bollen, Johan	An Agent Based Model of Effects of Sleep Deprivation on Suicidality A Generative Multi-Agent Framework for Modeling Depressive Language Entrainment
Bonchi, Francesco	Learning Latent Economic Dynamics of Floods
Bonek, Krzysztof	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Bordia, Rajendra	Computational Microstructure Analysis of Sintered Ceramics
Borowski, Norbert	How to Enhance Classification Results of the Trained Models using Invariant Dataset Augmentation
Borycki, Piotr	HuSc3D: Human Sculpture dataset for 3D object reconstruction
Bosse, Torsten F.	Infusing Computational Science into Computer Science: A Nifty SIMD Assignment Dynamic Matrix Compression: A New Perspective on Two-Phase Flows
Boukhelef, Djelloul	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Brandon, Mikko	An Agent Based Model of Effects of Sleep Deprivation on Suicidality
Bratvold, Reidar Brumer	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
Brovelli, Andrea	Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
Bruballa, Eva	Proactive Forecasting with a Digital Twin in Emergency Departments: Preserving Key Performance Indicators Values
Brzezowski, Adam	Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits
Brzosko, Marek	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Brückmann, Martin	Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation
Buczyński, Paweł	Throughput and Reliability Trade-Offs of 6LoWPAN in Low-Power IoT and Smart Systems
Bulut, Nilufer K.	PINNs for Electromagnetic Wave Propagation
Bungartz, Hans-Joachim	Embedding-based Methods for Linear Solver Performance Prediction
Buschmann, Malte	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations Bit Level Data Unpacking Using Heterogeneous Architecture Setups
Buss, Thorsten	Generative ML for Future Calorimeter Simulation
Bułło-Piontecka, Barbara	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Buś, Szymon	PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration
Bylina, Beata	Optimizing the Performance and Efficiency of a Hybrid Video Encoder in Java
Bücker, H. Martin	Infusing Computational Science into Computer Science: A Nifty SIMD Assignment Dynamic Matrix Compression: A New Perspective on Two-Phase Flows
C
Cabrera, Eduardo	From Formal Specifications to Executable Simulations: A Computation-Driven Metasystem for Agent-Based Modeling
Caiazzo, Robert	Quantum-Inspired Simulated Annealing with Neural Guidance for Hospital Scheduling
Cannataro, Mario	A Comparative Analysis of EEG Network Construction Strategies for Discriminating PNES
Cao, Qiziyi	Mechanistic Modeling of Stress-Induced Glucose Dysregulation: Calibrating a Coupled HPA-Metabolic Framework to the UK Biobank
Caporali, Enrica	Aligning and Assimilating Multi-source Data for Flood Forecasting
Carceller, Juan Miguel	Key4hep - The Common Software Stack for Future Particle Physics Experiments
Cardona Landinez, Ivan	Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
Castilho, Douglas	Recommendation system for education - an approach to suggesting learning sequences
Chalupský, Petr	Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
Charytanowicz, Małgorzata	An Ensemble CNN Transfer Learning Model for Wheat Grain Classification
Cheng, Sibo	Aligning and Assimilating Multi-source Data for Flood Forecasting
Chessa, Stefano	Data Assimilation with surrogate measurement equations
Chiu, Yu-Lung	Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials
Chmelnizkij, Alexander	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
Chmiel, Wojciech	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP
Chmielewski, Michał	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Choraś, Michał	PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration
Chub, Anastasiia	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows
Chłopicka, Karolina	Individual Decision-Making in Coupled Agent-Environment Systems
Cierniak, Robert	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
Clark, John W.	Product units in gated recurrent units improve nuclear-mass prediction
Clelland, Andrew	AI for Wildfire: Detection and Spread Forecasting via multi-source and multi-modal data-driven models
Cockrell, Cillian	Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials
Codoggnet, Philippe	From Table Constraints to QUBO Models for Quantum Annealing
Coker, Oluwaseun	Scheduled Temporal Loss Weighting for Neural Operators
Cook, Frederika	Trustworthy Molecular AI: Multi-Dimensional Validation of LLM Generated Chemical Descriptions
Cortés Mejía, Rodrigo	Reducing unnecessary computations in materials modeling VirtMat Tools: Towards FAIR-Compliant Virtual Research Environments for Materials Modeling
Costa Barbosa, Lucas	An Implicitly Differentiable Framework for Physics-Informed Wind Turbine Blade Design Optimization
Coveney, Peter	A Unified Autoregressive-Diffusion Framework for Stable Long-Horizon and High-Resolution Multiscale Flow Modeling
Craig, George C.	Mechanistic Interpretability Tool for AI Weather Models
Crimi, Alessandro	Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
Cruz García, David	A distributed ROS2 architecture for low-cost navigation based on virtual boundary logic
Cucco, Alex	Modeling Multi-Rater Behavior with Bayesian Nonparametric MIRT: Inferring Latent Traits and Group Structure
Curtiss, Joshua	Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis
Cyganek, Bogusław	Spatially refined transformer embeddings for accurate histopathology tissue classification Hyper-DINO: Efficient Hyperbolic Embeddings for Histopathological Content-Based Image Retrieval Hybrid Privacy-preserving Histopathological Image Classification Using Fully Homomorphic Encryption
Cyran, Józef	Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits
Czajkowski, Marcin	Stability-Aware Relational kNN for Gene Expression Using Within-Sample Orderings
Czaplewski, Bartosz	Automated Machine Learning Framework for Generating Pseudorandom Antenna Designs Conditioned on Operational Frequency Range Bayesian-optimized Neural Network for Evaluating the Operational Range of Freeform Microstrip Antennas Convolutional Neural Network-Based Prediction of Reflection Response for Free-Form Antenna Designs
Czarnul, Paweł	Containers Are (Almost) Free: Energy and Performance Analysis of AI Workloads under CPU Virtualization and GPU Power Capping
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Dabah, Adel	Efficient Accelerated Graph Edit Distance Computation on GPU
Dai, Zixuan	SG-DiT: Semantic-Guided Sign Language Anonymization Balancing Privacy and Linguistic Fidelity
Dall'Antonia, Fabio	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Danielse, Paul	CNASIM: A Customizable Simulation Library for Cloud-Native Application Performance Modeling
Daryanavard, Maedeh	Scene-Aware Image Aesthetic Quality Assessment
Dasgupta, Antara	Deep Data Assimilation for Operational AI-Based Flood Forecasting Using Multi-Source Earth Observations
Davey, Tessa	Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials
Day-Hall, Henry	Generative ML for Future Calorimeter Simulation
de Almeida, Marcos Vinicius	Recommendation system for education - an approach to suggesting learning sequences
de Gennaro Aquino, Ivan	Fast data processing for X-ray crystallography
de Zwarte, Sonja M.C.	Machine learning to predict mental health problems in early childhood using behavioral screening questionnaires
Deelman, Ewa	Efficient Integer-Only Implementation of Tanh and Sigmoid for Embedded AI on RISC-V
Deja, Rafal	Attribute Importance in Conflict Models: Using Clustering Metrics and Bi‑Coalitions for Issue Evaluation
Dellen, Babette	Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation Product units in gated recurrent units improve nuclear-mass prediction Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
Derevitskii, Ilia	Data-Driven Structural Optimization of Descriptive Norms: Bridging Micro and Macro Dynamics in Medical Contexts
Dhaene, Tom	Reversible Data Hiding in Encrypted Images using Kernel-based Prediction and Delta-Huffman Coding Automated Machine Learning Framework for Generating Pseudorandom Antenna Designs Conditioned on Operational Frequency Range
Dhanankam, Nikhil	Computational Microstructure Analysis of Sintered Ceramics
Dietrich, Felix	Embedding-based Methods for Linear Solver Performance Prediction
Dietrich, Stefan	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Dimitrijevs, Maksims	Benchmarking the Lights Out Problem on Real Quantum Hardware
Djecta, Hibat Errahmen	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
Dlugolinsky, Stefan	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Dmytrenko, Anton	When Decisions Are Blocked: Inhibitory Rules Induced from Tree Ensembles
Do Valle Miranda, Luiz	CHExNet: A 400-years Multilayer Network of Early Modern Collaboration at the Jagiellonian University
Dobiczek, Karol	CHExNet: A 400-years Multilayer Network of Early Modern Collaboration at the Jagiellonian University Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution
Dobija, Mateusz	Graph grammar model for mesh refinements for high-order polygonal discontinuous Petrov-Galerkin method
Doi, Kazuaki	GPU-Accelerated Number Theoretic Transform-Based Privacy Amplification for Quantum Key Distribution
Dora, Johannes	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
Dragos, Kosmas	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
Drzewiecki, Jakub	MAGGNet: Guided Volumetric Metal Artefact Synthesis for Computed Tomography Scans
Dubiel, Łukasz	Improving the efficiency and precision of data-driven surrogates for Monte-Carlo particle transport in the ALICE experiment
Dutka, Łukasz	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Dzialo, Jaromir	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
Dziura, Sebastian	Auto Quantum Machine Learning for Multisource Classification
Dziwak, Paulina	The Rise of Conversational Modeling in Predictive Oncology
Dzwinel, Witold	Improving the efficiency and precision of data-driven surrogates for Monte-Carlo particle transport in the ALICE experiment The Rise of Conversational Modeling in Predictive Oncology
Dzwonkowski, Mariusz	Reversible Data Hiding in Encrypted Images using Kernel-based Prediction and Delta-Huffman Coding
Dębska-Ślizień, Alicja	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
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Ebert, Sabrina	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations
Egorov, Dmitry	Fast data processing for X-ray crystallography
Ejsmont, Krzysztof	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
Eliasz, Jan	What properties of reasoning supervision are associated with improved downstream model quality?
Ellinghaus, David	A Data-Driven Framework for Optimal Covariate Clustering in Genome-wide Association Interaction Studies
Elsässer, Robert	Topology-Aware Communication Optimization for CFD Simulations in OpenFOAM
Engels, Sophie	Limitations of Idiographic Machine Learning Forecasting in Mental Health Data
Epelbaum, Valeria	Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
Epelde Gonzalo, Francisco	From Formal Specifications to Executable Simulations: A Computation-Driven Metasystem for Agent-Based Modeling
Espinosa, Antonio	Quantifying Sustainability Transitions in European Agriculture: A Reproducible Workflow for Socioecological Indicator Calculation
Evtyukhov, Dmitrii	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
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Fahringer, Thomas	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Fang, Liang	An Efficient User-Kernel Access Control Scheme for Lightweight Data Connectors
Fastovets, Konstantin	Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
Fazaeefar, Fatemeh	Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
Ferdinan, Teddy	What properties of reasoning supervision are associated with improved downstream model quality?
Ferenczi, Dávid	Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
Ferreira Aleixo, Rodrigo	Recommendation system for education - an approach to suggesting learning sequences
Filippakopoulos, Kimon	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Fit, Filip	MAGGNet: Guided Volumetric Metal Artefact Synthesis for Computed Tomography Scans
Flaßkamp, Kathrin	Boundary-Rejection-Sampling for Computing Pareto Fronts Efficiently and Uniformly Non-Extreme Individual Minima for Improved Pareto Front Sampling Efficiency and Decision-Making
Fontanella, Lara	Modeling Multi-Rater Behavior with Bayesian Nonparametric MIRT: Inferring Latent Traits and Group Structure
Fontanella, Sara	Modeling Multi-Rater Behavior with Bayesian Nonparametric MIRT: Inferring Latent Traits and Group Structure
Fossum, Kristian	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
Freitas, Paulo S.A.	Product units in gated recurrent units improve nuclear-mass prediction
Frinkle, Karl	Student Research Achievements through Computational HPC Course Sequences
Fujita, Kohei	Accelerating Nonlinear Time-History Analysis with Complex Constitutive Laws via Heterogeneous Memory Management: From 3D Seismic Simulation to Neural Network Training
Fukusumi, Koki	Fluid–Structure Interaction Simulation of an Emergency Recovery Parachute for a Flying Car
Furman, Oleksii	Plausible Visual Counterfactual Explanations in Latent Space with Normalizing Flows
Furmańczyk, Konrad	Thresholded FOCI for Undirected Graph Structure Learning with Binary Variables
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G, Piotr	Navigating Uncertainty: A Framework for Benchmarking Decision Quality in Fuzzy Petri Nets
Gaede, Frank	Generative ML for Future Calorimeter Simulation Key4hep - The Common Software Stack for Future Particle Physics Experiments
Gambardella, Antonio	A Comparative Analysis of EEG Network Construction Strategies for Discriminating PNES
Gandomi, Amir. H.	Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs
Ganzha, Maria	Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs Clickbait detection: quick inference with maximum impact
Gao, Mingyang	A Unified Autoregressive-Diffusion Framework for Stable Long-Horizon and High-Resolution Multiscale Flow Modeling
García González, Sergio	A distributed ROS2 architecture for low-cost navigation based on virtual boundary logic
Garg, Samar	When One Becomes n: Realizing Distributed Concurrency with ARBOC
Gasthuber, Martin	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Gasthuber, Martin	Fast data processing for X-ray crystallography
Gavkalova, Nataliia	Efficient Integer-Only Implementation of Tanh and Sigmoid for Embedded AI on RISC-V
Gawron, Piotr	Auto Quantum Machine Learning for Multisource Classification
Gaydadjiev, Georgi	Scene-Aware Image Aesthetic Quality Assessment
Gelisio, Luca	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Geng, Kui	An Efficient User-Kernel Access Control Scheme for Lightweight Data Connectors
Genseberger, Menno	Benchmarking Delft3D FM on HPC systems for real-life problems in surface water
George, Catherine	Conformal Prediction for Quantifying Uncertainty in Idealized Atmospheric Models
George, Mencía	Vision-Guided Agricultural Robot for Crop Detection Using Edge Computing on Embedded Hardware
Gepner, Pawel	Efficient Integer-Only Implementation of Tanh and Sigmoid for Embedded AI on RISC-V Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
Gessinger-Befurt, Paul	ACTS: Cross-experiment charged particle reconstruction toolkit
Getsadze, Rezo	Mechanistic Modeling of Stress-Induced Glucose Dysregulation: Calibrating a Coupled HPA-Metabolic Framework to the UK Biobank
Ghorbani, Maziar	Studying the Effects of Climate Factors on Forced Migration Models: The Case of South Sudan Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology SEAVEAtk: Building VVUQ Competency for Exascale Computational Science
Godec, Primoz	Computational Andragogy: Designing Accountable Practice in Computational Science
Gong, Yiru	Host Behavioral Consistency Modeling for Causal and Interpretable Intrusion Detection
Gonsalves, Tad	Text-to-Conditioned Abdominal CT Image Generation with ControlNet
Green, Christopher	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows
Griffiths, Tom	Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials
Grigoriev, Alexander	Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
Groen, Derek	The Road to Flee 4: Food Security Coupling Revisited Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine Credible Agent-Based Modeling of Crisis Evacuation: A Dual-Process Cognitive Architecture Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology SEAVEAtk: Building VVUQ Competency for Exascale Computational Science Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
Groen, Derek	Studying the Effects of Climate Factors on Forced Migration Models: The Case of South Sudan
Großmann, Nora L.	Machine learning to predict mental health problems in early childhood using behavioral screening questionnaires
Gruzewski, Mateusz	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures
Gruzinov, Andrey	Fast data processing for X-ray crystallography
Grün, Johannes	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
Guazzone, Catherine	Formal Theory Construction of Gender Dysphoria
Gubała, Tomasz	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Guo, Yunchuan	An Efficient User-Kernel Access Control Scheme for Lightweight Data Connectors GroupTEE: Efficient Group-Oriented Secure Channel Establishment for TEEs
Gurikov, Pavel	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
Guzzi, Pietro	Network Curvature as a Geometric Biomarker for Identifying Disease-related Subnetworks
Górska, Anna	Open-Set Vein Biometric Recognition with Deep Metric Learning
Götschel, Sebastian	Fourier Neural Operators for Rayleigh–Bénard Convection
Gößnitzer, Clemens	Topology-Aware Communication Optimization for CFD Simulations in OpenFOAM
Gąsiorowski, Jakub	Proactive Detection of Pedestrian Crossing Occlusions: Transforming Dashcams into Mobile Smart City Sensors
Głuszko, Piotr	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
H
Hagemann, Johannes	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
Hahnfeld, Jonas	Aggregating Columnar Data on Cluster File Systems
Hakanpää, Johanna	Fast data processing for X-ray crystallography
Halawa, Krzysztof	Uncertainty-Aware Multi-Task Deep Learning Framework for Cervical Lesion Segmentation and Classification
Hamitou, Okba	An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation
Hammadi, Slim	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora Quantum-Inspired Simulated Annealing with Neural Guidance for Hospital Scheduling
Han, Mengjiao	Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers
Hannappel, Juergen	Fast data processing for X-ray crystallography
Hannappel, Juergen	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Harbach, Laura	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology SEAVEAtk: Building VVUQ Competency for Exascale Computational Science Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
Harita, Maria	Proactive Forecasting with a Digital Twin in Emergency Departments: Preserving Key Performance Indicators Values
Harjule, Priyanka	A Fractional Physics-Informed Neural Network with Ensemble Learning for Dengue Forecasting
Harshit, Harshit	A Fractional Physics-Informed Neural Network with Ensemble Learning for Dengue Forecasting
Hassanpour, Reza	Scene-Aware Image Aesthetic Quality Assessment
Hawrot-Kawecka, Anna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
He, Yanru	An Efficient User-Kernel Access Control Scheme for Lightweight Data Connectors
He, Zeheng	Feature extractor comparison for distribution matching framework in dataset distillation A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance
Henkel, Alessandra	Fast data processing for X-ray crystallography
Hernandez Gress, Neil	Modelling Extreme Uncertainty: Estimating Maximum Queue Size of Systems with Pareto Inter-Arrival Times and Pareto Service Times
Herrmann-Wicklmayr, Markus	Boundary-Rejection-Sampling for Computing Pareto Fronts Efficiently and Uniformly Non-Extreme Individual Minima for Improved Pareto Front Sampling Efficiency and Decision-Making
Herten, Andreas	Fourier Neural Operators for Rayleigh–Bénard Convection Efficient Accelerated Graph Edit Distance Computation on GPU
Hervert-Escobar, Laura	Modelling Extreme Uncertainty: Estimating Maximum Queue Size of Systems with Pareto Inter-Arrival Times and Pareto Service Times
Hluchy, Ladislav	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Hoekstra, Alfons	An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation A Multiscale Modelling Framework for Endothelial Cells Monolayers: From RhoGTPase Network Dynamics to Barrier Integrity
Hoppe, Nils	Scaling Encodings to Larger Alphabets for Peptide-Based Data Storage
Hordijk, Peter	A Multiscale Modelling Framework for Endothelial Cells Monolayers: From RhoGTPase Network Dynamics to Barrier Integrity
Hori, Muneo	Accelerating Nonlinear Time-History Analysis with Complex Constitutive Laws via Heterogeneous Memory Management: From 3D Seismic Simulation to Neural Network Training
Hoynck van Papendrecht, Chris	A Generative Multi-Agent Framework for Modeling Depressive Language Entrainment
Hoyos, Karen	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Hołowacz, Igor	MAGGNet: Guided Volumetric Metal Artefact Synthesis for Computed Tomography Scans
Hu, Ziming	Molecular Dynamics and First-Principles Study on Hydrogen Separation from Hydrogen-Blended Natural Gas using Palladium-Silver Alloy Membranes
Hulshoff Pol, Hilleke E.	Machine learning to predict mental health problems in early childhood using behavioral screening questionnaires
Hüllermeier, Eyke	Conformal Prediction for Quantifying Uncertainty in Idealized Atmospheric Models
I
Ichimura, Tsuyoshi	Accelerating Nonlinear Time-History Analysis with Complex Constitutive Laws via Heterogeneous Memory Management: From 3D Seismic Simulation to Neural Network Training
Ikeda, Takahiro	Fluid–Structure Interaction Simulation of an Emergency Recovery Parachute for a Flying Car Comparative Study of Numerical Analysis and Wind Tunnel Experiments on the Flight Behavior of a Quadcopter Drone under Disturbance Winds A Computational Framework for Evaluating Dynamic Motion Performance of Diversified eVTOLs using Fluid-Rigid Body Coupled Simulation with Route Tracking
Ikuta, Yasutaka	A Grand Ensemble Integrating Ensemble Predictions by Multiple MLWP Weather Models Using JMA Initial Conditions
Inoue, Takuya	Investigating Ensemble Reliability with CNN Post-Processing through Variance Decomposition
Insley, Joseph	Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers
Iossifidis, Ioannis	The Spatial and Temporal Resolution of Motor Intention in Multi-Target Prediction
Ireddy, Ashish Tara Shivakumar	Modelling Human Optimal Seeking Behaviour During Evaluation of Process Models With Subjective Complexity
Iserte, Sergio	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures
Ishigaki, Yutaro	GPU-Accelerated Number Theoretic Transform-Based Privacy Amplification for Quantum Key Distribution
Ito, Hideaki	Accelerating Nonlinear Time-History Analysis with Complex Constitutive Laws via Heterogeneous Memory Management: From 3D Seismic Simulation to Neural Network Training
Iwashita, Takeshi	Multigrid Solver for a Bulk Lightning Model Coupled with a Meteorological Model with Terrain-Following Coordinates
J
Jabloński, Kamil	Optimization of Inhibitory Rules
Jabłońska, Katarzyna	Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution Metric Learning Approach to Mineral Mapping Using Multi-Sensor Satellite Data
Jaekel, Uwe	Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
Jahani, Alireza	Studying the Effects of Climate Factors on Forced Migration Models: The Case of South Sudan SEAVEAtk: Building VVUQ Competency for Exascale Computational Science
Jakuszko, Katarzyna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Janjic, Tijana	Conformal Prediction for Quantifying Uncertainty in Idealized Atmospheric Models
Janz, Arkadiusz	Think Like a Researcher: A Dataset for Scientific Ideation with Large Language Models
Jastrzebska, Agnieszka	Simulation based structural Optimization for Neural Network
Javanmardi, Alireza	Conformal Prediction for Quantifying Uncertainty in Idealized Atmospheric Models
Jeleniewicz, Radosław	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Jezuita, Anna	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
Jiang, Bo	Host Behavioral Consistency Modeling for Causal and Interpretable Intrusion Detection
Jiang, Lijian	Numerical Modeling of Electromigration Effects for Subsurface Geological Carbon Sequestration
Jimack, Peter	Scheduled Temporal Loss Weighting for Neural Operators
John, Chelsea Maria	Fourier Neural Operators for Rayleigh–Bénard Convection
Johnson, David	Computational Andragogy: Designing Accountable Practice in Computational Science
Josiński, Henryk	Effects of Environmental Perturbations on Multijoint Gait Dynamics: A Multidimensional Recurrence Quantification Approach
K
Kabir, Md Zaheen Tamzeed	A Scalable Numerical Framework for Predicting Particle Transport in Bifurcating Vascular Networks
Kabir, Mohammed Shihab	Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics Multiscale Modeling of Shear-Dependent Tumor Cell Adhesion
Kachroudi, Nourhen	Quantum-Inspired Simulated Annealing with Neural Guidance for Hospital Scheduling
Kaczmarski, Kamil	Efficient Integer-Only Implementation of Tanh and Sigmoid for Embedded AI on RISC-V
Kaczmarski, Krzysztof	Viability of Parallelization of Saturation and Extraction Algorithms for E-Graphs PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration
Kajdanowicz, Tomasz	Initial Study on Cancer Diagnosis using AI/NLP and Expert System Integration
Karamanoglu, Mehmet	Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution
Karimi, Mwai	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Karnevskiy, Mikhail	Fast data processing for X-ray crystallography
Karnevskiy, Mikhail	Asapo: a data streaming platform for high performance data processing pipelines
Kartowicz-Stolarska, Izabela Justyna	Stability-Aware Relational kNN for Gene Expression Using Within-Sample Orderings
Kashcheev, Maxim	Modelling Traffic Policy with Drivers and Government Behavior using Evolutionary Game Theory
Kasieczka, Gregor	Generative ML for Future Calorimeter Simulation
Kasprzak, Marta	A new concept of partial domination and algorithms for the directed feedback vertex set problem Domination data reduction rules for the directed feedback vertex set problem
Katti Sastry, Varuni	Comparative study of Linear Attention Architectures for Geopotential Height Forecasting
Kawabata, Takuya	A Grand Ensemble Integrating Ensemble Predictions by Multiple MLWP Weather Models Using JMA Initial Conditions Investigating Ensemble Reliability with CNN Post-Processing through Variance Decomposition
Kawai, Yuta	Multigrid Solver for a Bulk Lightning Model Coupled with a Meteorological Model with Terrain-Following Coordinates
Kawala-Sterniuk, Aleksandra	Initial Study on Cancer Diagnosis using AI/NLP and Expert System Integration
Kazienko, Przemysław	What properties of reasoning supervision are associated with improved downstream model quality?
Kekkonen, Hanne	Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model
Kemp, Yves	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Kesselheim, Stefan	Fourier Neural Operators for Rayleigh–Bénard Convection
Khan, Amirul	Scheduled Temporal Loss Weighting for Neural Operators
Kitowski, Jacek	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Kišša, Peter	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Klimek, Mikołaj	View-Independent 3D Gait Recognition Using Sequence-Based Siamese Networks
Klink, Susanne	Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
Klinowski, Rafał	Multi-Stream CNN with Attention for Single-Image Face Spoofing Detection
Klopprogge, Bjarne	Fast data processing for X-ray crystallography
Knowles, Janet	Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers
Kobayashi, Yusei	Fluid–Structure Interaction Simulation of an Emergency Recovery Parachute for a Flying Car Comparative Study of Numerical Analysis and Wind Tunnel Experiments on the Flight Behavior of a Quadcopter Drone under Disturbance Winds A Computational Framework for Evaluating Dynamic Motion Performance of Diversified eVTOLs using Fluid-Rigid Body Coupled Simulation with Route Tracking
Kocoń, Jan	What properties of reasoning supervision are associated with improved downstream model quality?
Kodangal, Deeksha	Computational Microstructure Analysis of Sintered Ceramics
Kolendo, Paweł	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP
Kolic, Blas	Learning Latent Economic Dynamics of Floods
Kollegger, Thorsten	Aggregating Columnar Data on Cluster File Systems
Kondov, Ivan	Reducing unnecessary computations in materials modeling VirtMat Tools: Towards FAIR-Compliant Virtual Research Environments for Materials Modeling
Konopka, Aleksandra	Rapid Identification of Soil Contamination by Pathogenic Fungi Using Single-Instance Driven Convolutional Neural Networks Proactive Detection of Pedestrian Crossing Occlusions: Transforming Dashcams into Mobile Smart City Sensors
Kopanitsa, Georgy	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
Kopeć, Dawid	Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution
Kordos, Mirosław	Multi-Stream CNN with Attention for Single-Image Face Spoofing Detection
Korol, Anatolii	Generative ML for Future Calorimeter Simulation
Korytkowski, Marcin	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
Kou, Wenlong	An Efficient User-Kernel Access Control Scheme for Lightweight Data Connectors GroupTEE: Efficient Group-Oriented Secure Channel Establishment for TEEs
Koutsou, Giannis	Computing and FAIR data in Lattice QCD
Kovalchuk, Sergey	Modelling Human Optimal Seeking Behaviour During Evaluation of Process Models With Subjective Complexity Modelling Traffic Policy with Drivers and Government Behavior using Evolutionary Game Theory Data-Driven Structural Optimization of Descriptive Norms: Bridging Micro and Macro Dynamics in Medical Contexts 3D Segmentation of Coronary Arteries in Computer Tomography Angiography
Kowalski, Piotr Andrzej	Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training
Kozera, Ryszard	Rapid Identification of Soil Contamination by Pathogenic Fungi Using Single-Instance Driven Convolutional Neural Networks Asymptotics in Curve Estimation Based on Partial Fitting with Piecewise Bézier Cubics
Koziel, Slawomir	Topology-Agnostic Antennas: Surrogate-Assisted Optimization of Fabrication Yield in a Distributed Setup Design-Ready Microwave Modeling by Spatial and Dimensional Domain Restriction Multi-Fidelity Model Management Strategy for Accelerated Antenna Optimization Fast Multi-Objective Antenna Design by ANN-Based Machine Learning with Gradient-Based Design Enhancement
Kozik, Rafal	PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration
Kozłowski, Wojciech	Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution
Kościowski, Michał	Containers Are (Almost) Free: Energy and Performance Analysis of AI Workloads under CPU Virtualization and GPU Power Capping
Krajewska, Magdalena	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Krawiec, Jerzy	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
Kryza, Bartosz	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Krzeszowski, Tomasz	Patch Memory Bank k-NN for Semi-supervised Visual Hazard Detection in Indoor Mobile Robots
Krzhizhanovskaya, Valeria	An Agent Based Model of Effects of Sleep Deprivation on Suicidality Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
Krzywda, Maciej	Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs
Krüger, Katja	Generative ML for Future Calorimeter Simulation
Kubanek, Mariusz	Secure Biometric Authentication with Dynamic Symmetric Key Generation in IoT Systems
Kucharczyk, Szymon	Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training
Kucharz, Eugeniusz J.	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Kugler, Lukas	Scalable Hierarchical Graph Autoencoders for Latent 3D-Variational Assimilation in a Coupled Earth-system Model
Kumar, Shivam	Mechanistic Modeling of Stress-Induced Glucose Dysregulation: Calibrating a Coupled HPA-Metabolic Framework to the UK Biobank Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
Kuntur, Soveatin	Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs Clickbait detection: quick inference with maximum impact
Kur-Zalewska, Joanna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Kurowski, Krzysztof	Mixed-Precision Quantum Machine Learning on Photonic Quantum and Hybrid HPC Systems
Kusztal, Katarzyna	Handling Class Imbalance in Coalition-Based Distributed Classification with Decision Rule Induction
Kużelewska, Urszula	An Ensemble CNN Transfer Learning Model for Wheat Grain Classification
Kużelewski, Andrzej	Acceleration of computing domain solutions by the IFPIES
Kwiecień, Joanna	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP
Kwolek, Bogdan	Mask Cross-Attention Transformer for Robust Exercise Recognition Under Execution-Speed Domain Shift View-Independent 3D Gait Recognition Using Sequence-Based Siamese Networks Geometry-aware Recognition of Mouth Articulations for Sign Language Understanding
L
Langner, Mikołaj	What properties of reasoning supervision are associated with improved downstream model quality?
Lardeux, Frédéric	Graph-Based Modeling of Alignment Relations and Pattern Detection
Lazzaro, Ilaria	A Comparative Analysis of EEG Network Construction Strategies for Discriminating PNES
Le, Wenxin	From Alert Flood to Actionable Intelligence: Reconstructing Attack Chains via TTP Sequences Using LLMs and RAG
Leifsson, Leifur	Design-Ready Microwave Modeling by Spatial and Dimensional Domain Restriction Multi-Fidelity Model Management Strategy for Accelerated Antenna Optimization
Lenkiewicz, Łukasz	Plausible Visual Counterfactual Explanations in Latent Space with Normalizing Flows
Lewandowska-Polak, Anna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Lewandowski, Bartosz	MAGGNet: Guided Volumetric Metal Artefact Synthesis for Computed Tomography Scans
Li, Chao	Data-Driven Structural Optimization of Descriptive Norms: Bridging Micro and Macro Dynamics in Medical Contexts
Li, Fenghua	GroupTEE: Efficient Group-Oriented Secure Channel Establishment for TEEs
Li, Jingfa	Molecular Dynamics and First-Principles Study on Hydrogen Separation from Hydrogen-Blended Natural Gas using Palladium-Silver Alloy Membranes
Li, Linxu	Host Behavioral Consistency Modeling for Causal and Interpretable Intrusion Detection
Li, Muyang	Feature extractor comparison for distribution matching framework in dataset distillation A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance
Li, Ruogu	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
Li, Yingsong	Topology-Agnostic Antennas: Surrogate-Assisted Optimization of Fabrication Yield in a Distributed Setup
Li, Yun	Host Behavioral Consistency Modeling for Causal and Interpretable Intrusion Detection
Li, Ziyuan	Product units in gated recurrent units improve nuclear-mass prediction Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
Lichołai, Sabina	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Lisowski, Jakub	PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration
Litvintsev, Dmitry	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows
Liu, Hai	GroupTEE: Efficient Group-Oriented Secure Channel Establishment for TEEs
Liu, James	Quantum-Classical Hybrid Algorithms for Darcy Flow
Liu Weng, Hayden	Embedding-based Methods for Linear Solver Performance Prediction
Lizzio Bosco, Daniele	Qubit Routing via swap Network: a Minimum Dominating Path Approach
Los, Marcin	Three-dimensional Collocation-based Robust Variational Physics Informed Neural Networks Scalability of parallel shared-memory isogeometric alternating-direction solver Isogeometric alternating-directions CO2 sequestration simulator
Lu, Zhigang	Host Behavioral Consistency Modeling for Causal and Interpretable Intrusion Detection
Lueken, Ralf	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Lunet, Thibaut	Fourier Neural Operators for Rayleigh–Bénard Convection
Löffler, Wolfgang	RACCOONS: Data Management Library for High-Performance Astrometric Reduction Pipelines
M
Ma, Wentao	Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics
Maczuga, Paweł	Graph grammar model for mesh refinements for high-order polygonal discontinuous Petrov-Galerkin method
Maddegedara, Lalith	Accelerating Nonlinear Time-History Analysis with Complex Constitutive Laws via Heterogeneous Memory Management: From 3D Seismic Simulation to Neural Network Training
Madej, Marta	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Madlener, Thomas	Generative ML for Future Calorimeter Simulation Key4hep - The Common Software Stack for Future Particle Physics Experiments
Magiera, Kamil	Optimization of Inhibitory Rules
Maia, Luis	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Majdan, Maria	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Majerz, Emilia	Improving the efficiency and precision of data-driven surrogates for Monte-Carlo particle transport in the ALICE experiment
Makowska, Joanna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Malarz, Dawid	HuSc3D: Human Sculpture dataset for 3D object reconstruction
Malawski, Maciej	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Malcic, Ivana	Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine Emergent Spatial Traps in the Coevolutionary Commons: Human-AI Cooperation under Environmental Feedback
Malczewski, Krzysztof	Controlling Structure Under Uncertainty: Decision-Theoretic Topology for Extreme-Scale Scientific Simulation Decision--Centric Network Sensing: Topology-Aware Control of Adaptive Graph Exploration Generative Control of k-Space: \\A Foundation-Model Approach to Self-Optimizing MRI with Transformers, Diffusion Priors, and Adversarial Consistency
Maleńczak, Konrad	Technical Indicators on Warsaw Stock Exchange: A Computational Study
Malka, Janusz	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Mamoń, Szymon	Graph grammar model for mesh refinements for high-order polygonal discontinuous Petrov-Galerkin method
Manai, Sabri	Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning
Manetti, Maurizio	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Marasek-Ciołakowska, Agnieszka	Rapid Identification of Soil Contamination by Pathogenic Fungi Using Single-Instance Driven Convolutional Neural Networks
Marcuzzi, Fabio	Data Assimilation with surrogate measurement equations
Mariani, Valerio	Fast data processing for X-ray crystallography
Markowska-Kaczmar, Urszula	Cross-Domain Few-Shot Segmentation of Histopathology Images with Mamba MAGGNet: Guided Volumetric Metal Artefact Synthesis for Computed Tomography Scans
Markowski, Stanisław	Could You Elaborate? A Multi-Perspective Evaluation of Query Reformulation in Retrieval-Augmented Generation
Martin, Aristotle	Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics Multiscale Modeling of Shear-Dependent Tumor Cell Adhesion
Martyniak, Remigiusz	Accurate Image-Based Reconstruction of Non-Parametric Antenna EM-Simulation Models Reversible Data Hiding in Encrypted Images using Kernel-based Prediction and Delta-Huffman Coding
Marull, Joan	Quantifying Sustainability Transitions in European Agriculture: A Reproducible Workflow for Socioecological Indicator Calculation
Masala, Giovanni	Trustworthy Molecular AI: Multi-Dimensional Validation of LLM Generated Chemical Descriptions
Masiak, Anna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Matarova, Taulant	Satellite-based Conflict Damage Detection: Siamese CNNs for Forced Displacement Planning in Ukraine
Mateevitsi, Victor	Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers
Matsufuru, Hideo	Computing and FAIR data in Lattice QCD
Mauricio de Almeida Cortes, Adriano	An Implicitly Differentiable Framework for Physics-Informed Wind Turbine Blade Design Optimization
Mazumdar, Pramit	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology
Mazur, Marcin	MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization
Maćkiewicz, Aneta	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
Mańdziuk, Jacek	Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training
McCullough, Jon	A Scalable Numerical Framework for Predicting Particle Transport in Bifurcating Vascular Networks
McKeown, Peter	Generative ML for Future Calorimeter Simulation
Medina, Andres	Scalability of parallel shared-memory isogeometric alternating-direction solver
Mehrdad, Sina	AI for Wildfire: Detection and Spread Forecasting via multi-source and multi-modal data-driven models
Melinc, Boštjan	Scalable Hierarchical Graph Autoencoders for Latent 3D-Variational Assimilation in a Coupled Earth-system Model
Mensah Dadzie, Benjamin	Detecting Feature Drift by Monitoring Feature-Rank Stability in Data Streams
Mesas Cervilla, Francisco	From Formal Specifications to Executable Simulations: A Computation-Driven Metasystem for Agent-Based Modeling
Metsker, Oleg	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
Meyer, Jan	Fast data processing for X-ray crystallography
Meyer da Silva, Everton	Recommendation system for education - an approach to suggesting learning sequences
Mezuman, Keren	Credible Agent-Based Modeling of Crisis Evacuation: A Dual-Process Cognitive Architecture
Michalczuk, Agnieszka	Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits
Middendorf, Philipp	Fast data processing for X-ray crystallography
Middleburgh, Simon	Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials
Milano, Marianna	Network Curvature as a Geometric Biomarker for Identifying Disease-related Subnetworks A Comparative Analysis of EEG Network Construction Strategies for Discriminating PNES
Milchert, Marcin	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Milczarski, Piotr	How to Enhance Classification Results of the Trained Models using Invariant Dataset Augmentation
Milian, Krystyna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Minch, Bartosz	The Rise of Conversational Modeling in Predictive Oncology
Miszczak, Jaroslaw	Towards quantum machine learning for assessing the resilience of post-quantum cryptography
Miłkowska-Dymanowska, Joanna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Mkrtchyan, Tigran	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Mohammadi Bagheri, Niksa	Mechanistic Modeling of Vorticity-Facilitated Platelet Aggregation in Stenotic Expansions
Momed, Mohammad Nasir Jan	Bit Level Data Unpacking Using Heterogeneous Architecture Setups
Monasterio, Asier	Coarse-grained bead-spring model and machine-learning for in-silico rheology
Monfroy, Eric	From Table Constraints to QUBO Models for Quantum Annealing
Morawski, Mieczyslaw	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
Moroz, Leonid	Efficient Integer-Only Implementation of Tanh and Sigmoid for Embedded AI on RISC-V
Morris, Mike	Student Research Achievements through Computational HPC Course Sequences
Moshkov, Mikhail	When Decisions Are Blocked: Inhibitory Rules Induced from Tree Ensembles Optimization of Inhibitory Rules Greedy Algorithm for Modeling Approximate Decision Trees for Distributed Decision Tables
Moska, Julia	Think Like a Researcher: A Dataset for Scientific Ideation with Large Language Models
Moskalewicz, Dominik	Hybrid Privacy-preserving Histopathological Image Classification Using Fully Homomorphic Encryption
Mozolewski, Maciej	Quantifying and Mitigating Epistemic Uncertainty in Local Rule‑Based Explanations Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution
Mozzanica, Martina	Generative ML for Future Calorimeter Simulation
Mrozek, Dariusz	Throughput and Reliability Trade-Offs of 6LoWPAN in Low-Power IoT and Smart Systems
Mu, Lin	Continuous Data Assimilation Enhanced Nonlinear Solvers for the p-Laplace Equation
Mundani, Ralf-Peter	Hybrid Two-Dimensional Wildfire Growth Model for High Resolution Environments
Munke, Anna	Fast data processing for X-ray crystallography
Musiał, Jacek	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Musiałek, Marcel	Plausible Visual Counterfactual Explanations in Latent Space with Normalizing Flows Open-Set Vein Biometric Recognition with Deep Metric Learning
Mussolin Massa, Rubens	Recommendation system for education - an approach to suggesting learning sequences
N
Nalepa, Grzegorz J.	CHExNet: A 400-years Multilayer Network of Early Modern Collaboration at the Jagiellonian University Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
Neff, Volker	A Data-Driven Framework for Optimal Covariate Clustering in Genome-wide Association Interaction Studies
Neumann, Philipp	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations Bit Level Data Unpacking Using Heterogeneous Architecture Setups Adaptive Resolution Scheme for Non-additive Molecular Three-Body Potentials
Niedziela, Przemysław	Spatially refined transformer embeddings for accurate histopathology tissue classification
Niedziółka-Domański, Rafał	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning
Ningrum, Panggih Kusuma	Clickbait detection: quick inference with maximum impact
Nishizawa, Seiya	Multigrid Solver for a Bulk Lightning Model Coupled with a Meteorological Model with Terrain-Following Coordinates
Nomura, Kaisei	Comparative Study of Numerical Analysis and Wind Tunnel Experiments on the Flight Behavior of a Quadcopter Drone under Disturbance Winds
Nowak, Jakub	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
Nowak, Tomasz	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
Nowinski, Wieslaw	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence
Nowé, Ann	Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
O
Oberthuer, Dominik	Fast data processing for X-ray crystallography
Oh, Rina	Text-to-Conditioned Abdominal CT Image Generation with ControlNet
Ohlrogge, Mia	Dynamic Matrix Compression: A New Perspective on Two-Phase Flows
Ohrenberg, Kars	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Okoń, Maciej	Optimizing the Performance and Efficiency of a Hybrid Video Encoder in Java
Okulska, Inez	Could You Elaborate? A Multi-Perspective Evaluation of Query Reformulation in Retrieval-Augmented Generation
Olas, Tomasz	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures
Oliver Serra, Albert	Graph grammar model for mesh refinements for high-order polygonal discontinuous Petrov-Galerkin method
Ongalov, Nurzhigit	Geometry-aware Recognition of Mouth Articulations for Sign Language Understanding
Opalach, Kamil	What Do Neural Radiance Fields Offer for 3D Human Reconstruction?
Ortega-Fernandez, Ines	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Ostonov, Azimkhon	When Decisions Are Blocked: Inhibitory Rules Induced from Tree Ensembles Optimization of Inhibitory Rules Greedy Algorithm for Modeling Approximate Decision Trees for Distributed Decision Tables
P
Paetzold, Philipp	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
Paglierani, Pietro	Data Assimilation with surrogate measurement equations
Palacio, Alan Bernardo	Quantifying Sustainability Transitions in European Agriculture: A Reproducible Workflow for Socioecological Indicator Calculation
Palchiha, Maria	Benchmarking the Lights Out Problem on Real Quantum Hardware
Pangallo, Marco	Learning Latent Economic Dynamics of Floods
Papka, Michael	Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers
Paprzycki, Marcin	Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs Clickbait detection: quick inference with maximum impact
Paramanathan, Niruban	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology
Pareja, Cristóbal	Modelling Extreme Uncertainty: Estimating Maximum Queue Size of Systems with Pareto Inter-Arrival Times and Pareto Service Times
Pascual, Iván	Vision-Guided Agricultural Robot for Crop Detection Using Edge Computing on Embedded Hardware
Paszynski, Maciej	Three-dimensional Collocation-based Robust Variational Physics Informed Neural Networks Scalability of parallel shared-memory isogeometric alternating-direction solver Isogeometric alternating-directions CO2 sequestration simulator Time-slices based training of Physics Informed Neural Networks for 3D Non-Stationary Thermal Inversion Simulations
Paszyńska, Anna	Scalability of parallel shared-memory isogeometric alternating-direction solver Graph grammar model for mesh refinements for high-order polygonal discontinuous Petrov-Galerkin method
Pawlicka, Aleksandra	PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration
Pawlicki, Marek	PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration
Pałkowski, Marek	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures
Pelc, Mariusz	Initial Study on Cancer Diagnosis using AI/NLP and Expert System Integration
Peterson, Victoria	Individual Decision-Making in Coupled Agent-Environment Systems
Piasecki, Maciej	Think Like a Researcher: A Dataset for Scientific Ideation with Large Language Models Could You Elaborate? A Multi-Perspective Evaluation of Query Reformulation in Retrieval-Augmented Generation What properties of reasoning supervision are associated with improved downstream model quality?
Piazza, Carla	Qubit Routing via swap Network: a Minimum Dominating Path Approach
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Pilarek, Paweł	Open-Set Vein Biometric Recognition with Deep Metric Learning
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Pinzon Escobar, Jose Alfonso	Adaptive Resolution Scheme for Non-additive Molecular Three-Body Potentials
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Planas, Mercedes	Proactive Forecasting with a Digital Twin in Emergency Departments: Preserving Key Performance Indicators Values
Pleiter, Dirk	Computing and FAIR data in Lattice QCD
Pluta, Piotr	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
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Porwik, Piotr	Detecting Feature Drift by Monitoring Feature-Rank Stability in Data Streams
Porzezynski, Marek	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
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Proficz, Jerzy	Containers Are (Almost) Free: Energy and Performance Analysis of AI Workloads under CPU Virtualization and GPU Power Capping
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Puma, Michael	Credible Agent-Based Modeling of Crisis Evacuation: A Dual-Process Cognitive Architecture
Purcell, Cormac	PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting
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Qi, Ruijie	From Alert Flood to Actionable Intelligence: Reconstructing Attack Chains via TTP Sequences Using LLMs and RAG
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Qu, Yi	Feature extractor comparison for distribution matching framework in dataset distillation A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance
Qu, Zhen	A Two-Stream CNN Framework for Spatiotemporally Resolved NO2 Estimates Using TEMPO and Sentinel-2 Satellite Data
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Rago, Antonio	Computing and FAIR data in Lattice QCD
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Ramesh, Visweshwaran	Deep Data Assimilation for Operational AI-Based Flood Forecasting Using Multi-Source Earth Observations
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Randles, Amanda	Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers Multiscale Modeling of Shear-Dependent Tumor Cell Adhesion
Rao, Vishwas	Comparative study of Linear Attention Architectures for Geopotential Height Forecasting
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Reka, Filip	The Rise of Conversational Modeling in Predictive Oncology
Rexachs del Rosario, Dolores Isabel	From Formal Specifications to Executable Simulations: A Computation-Driven Metasystem for Agent-Based Modeling
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Rodríguez Lera, Francisco J	Vision-Guided Agricultural Robot for Crop Detection Using Edge Computing on Embedded Hardware
Roijers, Diederik M.	Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
Romanello, Riccardo	Qubit Routing via swap Network: a Minimum Dominating Path Approach
Romkes, Albert	AVS-FE Simulations of Hard Magnetic Soft Materials subject to Steady State Electromagnetic Fields
Roy, Debraj	A Generative Multi-Agent Framework for Modeling Depressive Language Entrainment Emergent Spatial Traps in the Coevolutionary Commons: Human-AI Cooperation under Environmental Feedback Individual Decision-Making in Coupled Agent-Environment Systems
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Ryabinin, Konstantin	RACCOONS: Data Management Library for High-Performance Astrometric Reduction Pipelines
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Sahakyan, Marina	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Sailer, Andre	Key4hep - The Common Software Stack for Future Particle Physics Experiments
Sako, Shinji	SG-DiT: Semantic-Guided Sign Language Anonymization Balancing Privacy and Linguistic Fidelity
Saleem, Hira	PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting
Salim, Flora	PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting
Santos Silva, João Paulo	Recommendation system for education - an approach to suggesting learning sequences
Sas-Paszt, Lidia	Rapid Identification of Soil Contamination by Pathogenic Fungi Using Single-Instance Driven Convolutional Neural Networks
Sato, Hiroto	A Computational Framework for Evaluating Dynamic Motion Performance of Diversified eVTOLs using Fluid-Rigid Body Coupled Simulation with Route Tracking
Sato, Yousuke	Multigrid Solver for a Bulk Lightning Model Coupled with a Meteorological Model with Terrain-Following Coordinates
Satława, Tadeusz	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Saubion, Frédéric	Graph-Based Modeling of Alignment Relations and Pattern Detection
Sawerwain, Marek	QFredDet –- Software Library for Computing Entropy of Continuous Variable Quantum Systems Using Fredholm Determinants
Sałabun, Wojciech	Computing Wasserstein Distances Between Asymmetric Interval Numbers Exponentiation Operators for Asymmetric Interval Numbers and Their Properties
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Schoder, Johannes	Infusing Computational Science into Computer Science: A Nifty SIMD Assignment
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Schröder, Andreas	Topology-Aware Communication Optimization for CFD Simulations in OpenFOAM
Schröter, Kai	Aligning and Assimilating Multi-source Data for Flood Forecasting
Schwarz, Kilian	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Sepulveda, Paulina	Scalability of parallel shared-memory isogeometric alternating-direction solver
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Serra, Giuseppe	Qubit Routing via swap Network: a Minimum Dominating Path Approach
Severino, Ricardo	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology
Shahbahrami, Asadollah	Scene-Aware Image Aesthetic Quality Assessment
Shekhovtsov, Andrii	Computing Wasserstein Distances Between Asymmetric Interval Numbers Exponentiation Operators for Asymmetric Interval Numbers and Their Properties
Shenoy, Varun	When One Becomes n: Realizing Distributed Concurrency with ARBOC
Sheraton, Vivek M.	Mechanistic Modeling of Stress-Induced Glucose Dysregulation: Calibrating a Coupled HPA-Metabolic Framework to the UK Biobank Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation A Multiscale Modelling Framework for Endothelial Cells Monolayers: From RhoGTPase Network Dynamics to Barrier Integrity
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Shojib, Md Mozakker	Coarse-grained bead-spring model and machine-learning for in-silico rheology
Sieberer, Jonas	Topology-Aware Communication Optimization for CFD Simulations in OpenFOAM
Sikora, Maciej	Time-slices based training of Physics Informed Neural Networks for 3D Non-Stationary Thermal Inversion Simulations
Simma, Hubert	Computing and FAIR data in Lattice QCD
Sinha, Shania	Individual Decision-Making in Coupled Agent-Environment Systems
Sitnik, Robert	What Do Neural Radiance Fields Offer for 3D Human Reconstruction?
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Slysz, Mateusz	Mixed-Precision Quantum Machine Learning on Photonic Quantum and Hybrid HPC Systems
Smarsly, Kay	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
Smirnova, Irina	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
Smith, Tom	Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials
Smolak-Dyżewska, Weronika	HuSc3D: Human Sculpture dataset for 3D object reconstruction MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization
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Sousa, Jose	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning Rule-Based Federated Learning for Healthcare
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Specht, Gerd	Scaling Encodings to Larger Alphabets for Peptide-Based Data Storage
Speziali, Paolo	Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
Sprenger, Janina	Fast data processing for X-ray crystallography
Spurek, Przemysław	HuSc3D: Human Sculpture dataset for 3D object reconstruction MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization
Srinivasa, Gowri	When One Becomes n: Realizing Distributed Concurrency with ARBOC
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Sternberger, Sven	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Stoev, Iliya	Coarse-grained bead-spring model and machine-learning for in-silico rheology
Stokes, Finn	Computing and FAIR data in Lattice QCD
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Taberman, Helena	Fast data processing for X-ray crystallography
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Xiang, Yingxiao	From Alert Flood to Actionable Intelligence: Reconstructing Attack Chains via TTP Sequences Using LLMs and RAG
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Zalewska, Joanna	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
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