ICCS 2025: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

A
Achtelik, Wojciech	Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution
Addo, Benjamin Agyare	Novel Hierarchical Decision Tree Frameworks Introducing Tree Method Bagging-Stump Integration and Height Optimization
Adàlia, Ramon	Efficient Peptide MRM Transition Prediction via Convolutional Hashing
Ahn, Kwangwon	Information flow between neighboring housing markets: A case from the Seoul metropolitan area
Albert, Miquel	Modelling AI Applications using PAS2P on HPC Cloud Environments
Aliev, Artem	Improving project-level code generation using combined relevant context
Altintas, Ilkay	Actionable Fire Modeling in Firemap for Extended Attack Decision Support Assimilation of Data for Dynamic Digital Twins by Learning Covariance Information
Alyaev, Sergey	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
Ang, Boon Leng	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics
Anh Nguyen, Tuan	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
Ansótegui, Carlos	Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach
Arcucci, Rossella	Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
Arcucci, Rossella	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Arenas, Diego	i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
Arico, Costanza	A mixed finite element projection method for unsteady incompressible flow
Asao, Shinichi	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers Numerical Analysis of Dolphin Kick in Competitive Swimming with Free Surface Effects Comparison of crash simulations on two types of flying cars
Ashok, Balakrishnan	Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features
Astanina, Marina	Natural convection in periodically heated porous-fluid system under local thermal non-equilibrium conditions: a numerical study for enhanced thermal management
B
B.Bratvold, Reidar	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
Bahsoon, Rami	A Connectionist Approach to Federated Digital Twins
Baliś, Bartosz	Fast prediction of job execution times in the ALICE Grid through GPU-Based Inference with Quantization and Sparsity Techniques
Bartman, Jacek	Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Barzegari, Mojtaba	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
Bayer, David	Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation
Beauvais, Valentin	BioSkel - Towards a framework for OMICS applications
Bell, Alex	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Benitez Benavides, Marc	Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions
Berdowski, Adrian	PoliChat: Retrieval Augmented Generation on University Documents and Regulations
Bertoli, Gabriele	Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
Beyer, Andrea	cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores
Bielak, Piotr	Towards weight-space interpretation of Low-Rank Adapters for Diffusion Models
Bielaszek, Sylwia	Structural Limiting Range of Perception in PSO Towards Novel Migration Topologies for Parallel Evolutionary Algorithms
Bielecka, Marzena	Hierarchical Structural Information -- Theory and Applications
Bielecki, Andrzej	Hierarchical Structural Information -- Theory and Applications
Biermann, Michael	Making Astrometric Solver Tractable through In-Situ Visual Analytics
Bitka, Adam	Exploration and Learning Algorithms Used for Predicting Casting Properties
Blachnik, Marcin	Prototype-pairs Decomposition for Extracting Simple and Meaningful Rules Meta-Instance Selection. Combining the Properties of Multiple Instance-Selection Methods.
Block, Jessica	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Boltuc, Agnieszka	Simple error estimation for PIES in 2D elasticity problems Using B-spline function properties in the PIES method to handle singularities in boundary value problems
Bonti Muhammad, Ressi	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
Borisova, Julia	Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting
Borsboom, Denny	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide
Boukhanovsky, Alexander	A Dynamic Model of Customers Behavior: Integrating Econophysics and Physics-Informed Neural Networks
Boya, Sumanth Kumar	Discrete Residual Loss Functions for Training Physics-Informed Neural Networks
Breland, Adrienne	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Brevis, Ignacio	A test space refinement strategy for Robust Variational Physics-Informed Neural Networks
Brightling, Christopher	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Bruballa, Eva	Preliminary comparison of different EDs performance, using Simulation
Bungartz, Hans-Joachim	Algorithm Selection in Short-Range Molecular Dynamics Simulations
Bylina, Beata	Time and energy consumption of multithreaded matrix factorization using various compilers optimizations
Bylina, Jaroslaw	Time and energy consumption of multithreaded matrix factorization using various compilers optimizations
Byrski, Aleksander	Structural Limiting Range of Perception in PSO Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization Towards Novel Migration Topologies for Parallel Evolutionary Algorithms
Bączkiewicz, Aleksandra	Using SSP-VIKOR in Sustainable Share of Renewable Energy Sources Assessment
C
Caglar, Tolga	Assimilation of Data for Dynamic Digital Twins by Learning Covariance Information
Cai, Wentong	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics
Cannataro, Mario	A machine learning-based framework for predicting candidate drug side effects from biological networks Biological Community Detection with Graph neural network and Network Curvature analysis on Gene Co-expression Networks.
Caporali, Enrica	Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
Cardoso, Pedro J.S.	Microscopic Binary Engagement Model
Carrillo Jordan, Carlos	Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping
Chen, Chang	Microfluidic Digital Twin for Enhanced Single-Cell Analysis
Chen, Huangxin	Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation An Iterative Scheme for the Solidification and Macro-segregation Benchmark Modeling
Chen, Yanbin	Optimization Framework for Reducing Mid-circuit Measurements and Resets Dead Gate Elimination
Chen, Ye	Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications
Chen, Yuxiang	Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
Chew, Lock Yue	Bus Loop Scheduling with Dueling Double Deep Q Network
Chmurzyński, Kamil	Predicting stock prices with ChatGPT-annotated Reddit sentiment: Hype or reality?
Chodak, Grzegorz	Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset
Choudhary, Harshita	Simulation-based inference in agent-based models using spatio-temporal summary statistics
Chęć, Gabriel	Improving Object Detection Quality in Football Through Super-Resolution Techniques
Cichosz, Pawel	A novel routing algorithm for optical networks based on ML methods
Ciepliński, Piotr	Meta-Instance Selection. Combining the Properties of Multiple Instance-Selection Methods.
Ciesielski, Tomasz Maciej	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen
Cinaglia, Pietro	A machine learning-based framework for predicting candidate drug side effects from biological networks
Cinaglia, Pietro	Biological Community Detection with Graph neural network and Network Curvature analysis on Gene Co-expression Networks.
Ciupek, Dominika	EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations
Codognet, Philippe	Modeling the Cyclic Bandwidth Problem in QUBO for Quantum Annealing
Coelho Martins, Gustavo	Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy
Cohen, Ian	Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
Combs, Jordan	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Cortés Fité, Ana	Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping Applying a Genetic Algorithm to Optimize Hail Prediction Using the Weather Research and Forecasting Model
Couton, Clémence	BioSkel - Towards a framework for OMICS applications
Crawl, Daniel	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Cucco, Alex	Covering the online spectrum of opinion in social context: the benefit of network node sampling through an Italian case study
Cyran, Prof. Krzysztof Adam	Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments
Czachorski, Tadeusz	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
Czarnul, Pawel	Investigation of CUDA Graphs performance for selected parallel applications Performance-energy investigation of selected applications using a parallel multi-GPU genetic algorithm under power capping
Czech, Krzysztof	Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
Czekalski, Piotr	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
Czerski, Dariusz	NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish
D
Danel, Tomasz	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
Das Sharma, Amartya	Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware
de Beurs, Derek	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide Global Sensitivity Analysis for a Mathematical Model of General Escape Theory of Suicide
de Callafon, Raymond	Assimilation of Data for Dynamic Digital Twins by Learning Covariance Information
de Carvalho, Pedro	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
De Luca, Pasquale	First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological model
De Lucia, Marco	A fast MPI-based Distributed Hash-Table as Surrogate Model for HPC Applications
Deelman, Ewa	Low Latency Recoding CORDIC Algorithm for FPGA Implementation
Deeva, Irina	To select or not to select? The role of meta-features selection in meta-learning tasks with tabular data
Deja, Rafal	Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios
del Gobbo, Emiliano	Covering the online spectrum of opinion in social context: the benefit of network node sampling through an Italian case study
Dellen, Babette	Combining XAI and graph cuts for skin-lesion segmentation
Dengel, Andreas	i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
Denisiuk, Aleksander	Dimensionality reduction in product of metric spaces
Dezert, Jean	Incorporating Performance Ordering in MCDA: A Study of the Frobenius SPOTIS Method
Dharma, Dody	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
Di Vicino, Attilio	First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological model
Diakun, Oksana	Investigation of CUDA Graphs performance for selected parallel applications
Dignum, Eric	Simulation-based inference in agent-based models using spatio-temporal summary statistics
Dinh Nguyen, Viet	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
Djecta, Hibat Errahmen	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
Doan, Anh Khoa	Cluster-based Reduced-order Modelling and Control for Chaotic Systems with Extreme Events
Dobija, Mateusz	Graph grammar model for h-adaptation for meshes with quadrilateral, pentagon, and hexagon elements
Dolega, Tymoteusz	CiteVerifier: How Good Are Citation Verifiers and How to Use Them?
Dolganov, Anton	Multiscale Parallel Simulation of Malignant Pleural Mesothelioma via Adaptive Domain Partitioning – an Efficiency Analysis Study
Dong, Xueyan	Advancing Bird Species Classification: A Fusion of Audio and Image Data
Dongarra, Jack	An Overview of High Performance Computing and Responsibly Reckless Algorithms
Dorzhu, Nachyn	Predicting future collaborations in a scientific community using graph neural networks
Dowejko, Jakub	Using SSP-VIKOR in Sustainable Share of Renewable Energy Sources Assessment
Drałus, Grzegorz	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Drałus, Jakub	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection
Drożdż, Wojciech	Strong Sustainability Paradigm in TOPSIS Method: New Approach to Wind Farm Selection Problem
Duszenko, Jacek	Towards weight-space interpretation of Low-Rank Adapters for Diffusion Models
Dutta, Omjyoti	Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions
Dzwinel, Witold	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
Dąbrowski, Daniel	Prototype-pairs Decomposition for Extracting Simple and Meaningful Rules Meta-Instance Selection. Combining the Properties of Multiple Instance-Selection Methods.
E
Ekelund, Jonah	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
El Rawaf, Rawaf	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Eliasz, Jan	AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Ellinghaus, David	Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies
Elsheikh, Ahmed H.	Model-Based Reinforcement Learning for Efficient Active Flow Control
Engels, Sophie	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide Global Sensitivity Analysis for a Mathematical Model of General Escape Theory of Suicide
Epelbaum, Valeria	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide Global Sensitivity Analysis for a Mathematical Model of General Escape Theory of Suicide
Epelde, Francisco	Preliminary comparison of different EDs performance, using Simulation A customizable Agent-Based Simulation Framework for Emergency Departments
Erokhina, Olga	Making Astrometric Solver Tractable through In-Situ Visual Analytics
Evtyukhov, Dmitrii	Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images
F
Fabbri, Leonardo	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Fatigate, Gustavo	Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy
Fedrushkov, Dmitriy	Improving project-level code generation using combined relevant context
Feng, Ling	Modeling Firm Birth and Death Dynamics using Survival Fractions and Age Distributions
Feng, Minfu	A Thermodynamically Consistent Model for Fluid-Solid Coupling in Fractured Porous Elastic Media with Strongly Compressible Fluid Flow
Feng, Xiaoyu	F3cake: A Julia-Based Platform for Automatic Discretization and Solution of Partial Differential Equations An Iterative Scheme for the Solidification and Macro-segregation Benchmark Modeling
Ferdinan, Teddy	AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Firkowski, Mateusz	Control synthesis of homogeneous approximations of nonlinear systems
Fontanella, Lara	Covering the online spectrum of opinion in social context: the benefit of network node sampling through an Italian case study
Fontanella, Sara	Covering the online spectrum of opinion in social context: the benefit of network node sampling through an Italian case study
Forner-Cuenca, Antoni	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
Fossum, Kristian	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
Freitas Reis, Ruy	Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy
Fujita, Kohei	Generation of quality Green’s function libraries in complex three-dimensional crustal structures by adaptive mesh refinement Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
Fulginiti, Innocenzo	Optimization Framework for Reducing Mid-circuit Measurements and Resets
G
Gafoor, Azhar	Discrete Residual Loss Functions for Training Physics-Informed Neural Networks
Gajoch, Sandra	Exploration and Learning Algorithms Used for Predicting Casting Properties
Galban, Craig	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Galeano, Ramona	Preliminary comparison of different EDs performance, using Simulation
Galvez-Tomida, Akemi	Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map
Garibay, Victoria	Accelerated Approximation of Bellman Equation Solutions for Agent Policy Optimization with a Feedforward Neural Network
Gavkalova, Nataliia	On floating point approximation of the reciprocal cube root function
Gawron, Piotr	Hyperspectral image segmentation with a machine learning model trained using quantum annealer On the status of current quantum machine learning software
Ge, Zhengwei	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics
Gepner, Paweł	Low Latency Recoding CORDIC Algorithm for FPGA Implementation On floating point approximation of the reciprocal cube root function
Gijsbers, Sacha	A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma
Gniewkowski, Mateusz	Precise Language Deception: XAI Driven Targeted Adversarial Examples with Restricted Knowledge An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection
González i Fernández, Irene	Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping
Gratl, Fabio Alexander	Algorithm Selection in Short-Range Molecular Dynamics Simulations
Groen, Derek	Reversed Model Verification by Inferring Conceptual Models from Simulation Code FUMEplot: a Prototype Tool for Automated Visualisation of Uncertainties in Ensemble Modelling Outputs
Grzesiak-Kopeć, Katarzyna	Adaptive Modular Housing Design for Crisis Situations
Guerrero-Calzas, Iciar	Applying a Genetic Algorithm to Optimize Hail Prediction Using the Weather Research and Forecasting Model
Gulyas, Laszlo	Towards Novel Migration Topologies for Parallel Evolutionary Algorithms
Guo, Yipei	Modeling Firm Birth and Death Dynamics using Survival Fractions and Age Distributions
Gupta, Manish	On the status of current quantum machine learning software
Guseva, Elizabetty	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches
Guzzi, Pietro Hiram	Biological Community Detection with Graph neural network and Network Curvature analysis on Gene Co-expression Networks.
Guściora, Mateusz	Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification.
Gąsior, Jakub	A Hybrid Q-LA approach to routing in Wireless Sensor Networks
H
Halliday, Ian	Towards sensitivity analysis: 3D venous modelling in the lower limb
Hammer, Morten	Application of molecular dynamics and cDFT for gas adsorption
Hanzich, Mauricio	Applying a Genetic Algorithm to Optimize Hail Prediction Using the Weather Research and Forecasting Model
Harjule, Priyanka	A Fractional Computation Based Deep Learning Framework for Silicosis Detection
He, Chunrong	Advancing Bird Species Classification: A Fusion of Audio and Image Data
Helmig, Rainer	A mixed finite element projection method for unsteady incompressible flow
Henkys, Valentin	cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores
Hernandez-Gress, Neil	Modelling Extreme Uncertainty: Queues with Pareto Inter-Arrival Times and Pareto Service Times
Hervert Escobar, Laura	Modelling Extreme Uncertainty: Queues with Pareto Inter-Arrival Times and Pareto Service Times
Higuchi, Yuta	Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design
Hocks, Alex	Node-level Performance of Adaptive Resolution in ls1 mardyn
Hori, Muneo	Generation of quality Green’s function libraries in complex three-dimensional crustal structures by adaptive mesh refinement Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
Hori, Takane	Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
Hu, Andong	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models
Huang, Dongdong	Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications
Huang, Huijie	Study on consequences and safety distance for leakage and explosion in pipelines of hydrogen-blended natural gas stations
Husni, Zyad	Combining XAI and graph cuts for skin-lesion segmentation
Huynh, Hoai Nguyen	Modeling Firm Birth and Death Dynamics using Survival Fractions and Age Distributions Exploring the effect of spatial scales in studying urban mobility pattern
I
Ichimura, Tsuyoshi	Generation of quality Green’s function libraries in complex three-dimensional crustal structures by adaptive mesh refinement Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
Iglesias Prieto, Andres	Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map
Ikeda, Takahiro	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers Comparison of crash simulations on two types of flying cars
Incecik, Atilla	Discover the Tractable Latent Space of Floating Offshore Wind Turbine based on a Novel GNN-Encoder-Decoder-LSTM Deep Learning Architecture
Ippoliti, Luigi	Covering the online spectrum of opinion in social context: the benefit of network node sampling through an Italian case study
Ireddy, Ashish Tara Shivakumar	Simulation Modelling of Clinical Decision making for Personalized Policy Identification
Ito, Hideaki	Generation of quality Green’s function libraries in complex three-dimensional crustal structures by adaptive mesh refinement
Iwai, Misaki	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers
J
J, Rishi	Discrete Residual Loss Functions for Training Physics-Informed Neural Networks
Jacquemond, Rémy	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
Jaekel, Uwe	Combining XAI and graph cuts for skin-lesion segmentation
Jankowski, Norbert	Instance selection by fast local set border selector
Jans, Tess	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
Janz, Arkadiusz	Is heterogeneous model soup tasty? A Multidimensional Evaluation of Diverse Model Soups in Language Model Alignment An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection
Jarmatz, Piet	Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware
Jaros, Jiri	Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation
Jastrzebska, Agnieszka	Dynamic neural network with matrix-extended residual connections
Jaśkowiec, Krzysztof	Exploration and Learning Algorithms Used for Predicting Casting Properties
Jeong, Minhyuk	Information flow between neighboring housing markets: A case from the Seoul metropolitan area
Jervell, Vegard	Application of molecular dynamics and cDFT for gas adsorption
Jiang, Zhengwei	Joint Spatial-Temporal Representation for Host Intrusion Detection System
Jimack, Peter K	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
Johnson, Gary W.	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Jończyk, Jakub	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
Jung, Leehyun	Information flow between neighboring housing markets: A case from the Seoul metropolitan area
K
Kabuo, Naoki	Numerical Analysis of Dolphin Kick in Competitive Swimming with Free Surface Effects
Kajdanowicz, Tomasz	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Kaneko, Ryota	Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
Kang, Chang Wei	Discover the Tractable Latent Space of Floating Offshore Wind Turbine based on a Novel GNN-Encoder-Decoder-LSTM Deep Learning Architecture
Karczmarczyk, Aleksandra	Strong Sustainability Paradigm in TOPSIS Method: New Approach to Wind Farm Selection Problem
Karczmarczyk, Artur	Strong Sustainability Paradigm in TOPSIS Method: New Approach to Wind Farm Selection Problem
Karthikeyan, Nikhil	Structural response of bijels stabilized by ellipsoidal magnetic particles
Kaushik, Sunny	Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features
Kawala-Sterniuk, Aleksandra	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Kazienko, Przemysław	Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Khetubol, Adis	Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System
Kica, Piotr	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Kiełczyński, Konrad	AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Kisiel-Dorohinicki, Marek	Structural Limiting Range of Perception in PSO Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization Sequential, parallel and consecutive hybrid evolutionary-swarm optimization metaheuristics
Kizielewicz, Bartłomiej	A new approach to large-scale multi-criteria group decision-making based on the RANCOM method
Klimczak, Jakub	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
Klonowski, Marek	Precise Language Deception: XAI Driven Targeted Adversarial Examples with Restricted Knowledge
Klusch, Matthias	i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
Kmak, Mateusz	Predicting stock prices with ChatGPT-annotated Reddit sentiment: Hype or reality?
Kobayashi, Yusei	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers Numerical Analysis of Dolphin Kick in Competitive Swimming with Free Surface Effects Comparison of crash simulations on two types of flying cars
Kobus, Robin	cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores
Kocks, Janwillem	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Kocoń, Jan	Predicting stock prices with ChatGPT-annotated Reddit sentiment: Hype or reality? AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs SupResDiffGAN a new approach for the Super-Resolution task Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification.
Kopanitsa, Georgy	Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images
Kopeć, Dawid	SupResDiffGAN a new approach for the Super-Resolution task
Kordos, Mirosław	Prototype-pairs Decomposition for Extracting Simple and Meaningful Rules
Korzeń, Marcin	Control synthesis of homogeneous approximations of nonlinear systems
Korzin, Andrey	Lightweight heterogeneous SEIR models for epidemic surveillance in Russian cities: turning synthetic populations into equations
Kosciolek, Tomasz	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
Kosela, Piotr	Emergent Communication in Merging Artificial Agent Populations
Koshkareva, Maria	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches
Kotzbach, Paweł	Predicting stock prices with ChatGPT-annotated Reddit sentiment: Hype or reality?
Kou, Jisheng	Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
Kovalchuk, Sergey	Predicting future collaborations in a scientific community using graph neural networks Improving project-level code generation using combined relevant context Simulation Modelling of Clinical Decision making for Personalized Policy Identification Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images
Kovantsev, Anton	A Dynamic Model of Customers Behavior: Integrating Econophysics and Physics-Informed Neural Networks
Kozdrowski, Stanislaw	A novel routing algorithm for optical networks based on ML methods
Kozera, Ryszard	Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization
Kozłowski, Wojciech	SupResDiffGAN a new approach for the Super-Resolution task
Kraft, Monica	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Kramer, Stefan	cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores
Krawiec, Jerzy	Low Latency Recoding CORDIC Algorithm for FPGA Implementation
Kropacheva, Alena	To select or not to select? The role of meta-features selection in meta-learning tasks with tabular data
Krupa, Oliwer	Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset
Krutul, Dawid	SupResDiffGAN a new approach for the Super-Resolution task
Krysztofik, Pawel	A novel routing algorithm for optical networks based on ML methods
Krzhizhanovskaya, Valeria	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma Multiscale Parallel Simulation of Malignant Pleural Mesothelioma via Adaptive Domain Partitioning – an Efficiency Analysis Study Global Sensitivity Analysis for a Mathematical Model of General Escape Theory of Suicide
Krzywiecki, Lukasz	Proof of Training: Obtaining Verifiable ML Models by Delegating Training to a Blockchain Network
Król, Magdalena	From Statement of Facts to Statutory Provisions – Efficient Retrieval of Relevant Legislation Sequential, parallel and consecutive hybrid evolutionary-swarm optimization metaheuristics
Kuaban, Godlove Suila	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments
Kumari, Shweta	Fourier Error Analysis of Caputo Derivative Approximations based on Lagrange Interpolation over Uniform Mesh
Kusztal, Katarzyna	Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification
Kuznetsov, Andrey	Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting
Kużelewski, Andrzej	Domain solutions obtained by the FPIES for potential 2D BVPs
Kwak, Jaeyoung	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics
L
Ladd, William	Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations
Lai, Andre	Microfluidic Digital Twin for Enhanced Single-Cell Analysis
Lamirel, Jean-Charles	Automatic Help Summoning through Speech Analysis on Mobile Devices
Landowski, Marek	An Algorithm for Calculating the Multidimensional Solution of the Fuzzy Sylvester Matrix Equation Multidimensional granular approach to solving fuzzy complex system of linear equations
Lang, Zheng	Advancing Bird Species Classification: A Fusion of Audio and Image Data
Langner, Mikołaj	AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Lautenberger, Chris	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Lee, Jenny	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Lees, Michael	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics Simulation-based inference in agent-based models using spatio-temporal summary statistics
Lelek, Tomasz	Fast prediction of job execution times in the ALICE Grid through GPU-Based Inference with Quantization and Sparsity Techniques
Lemos, Marco	Microscopic Binary Engagement Model
Leon, Betzabeth	Modelling AI Applications using PAS2P on HPC Cloud Environments
Leonenko, Vasiliy	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches Lightweight heterogeneous SEIR models for epidemic surveillance in Russian cities: turning synthetic populations into equations
Lerchner, Manuel	Algorithm Selection in Short-Range Molecular Dynamics Simulations
Leszczynski, Jacek	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen
Leszczyńska, Natalia	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen
Li, Chao	Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning
Li, Hao	Joint Spatial-Temporal Representation for Host Intrusion Detection System
Li, Hongying	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics
Li, Jingfa	Study on hydrogen dissociation and adsorption behavior in hydrogen-blended natural gas pipelines Study on consequences and safety distance for leakage and explosion in pipelines of hydrogen-blended natural gas stations
Li, Muyang	Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance
Li, Qianqian	Study on hydrogen dissociation and adsorption behavior in hydrogen-blended natural gas pipelines
Li, Yingli	{\tt DarcyLite} Modules for Property-preserving Transport Solvers
Li, Yuxing	Study on hydrogen dissociation and adsorption behavior in hydrogen-blended natural gas pipelines
Lichołai, Sabina	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Lim, Chung	Towards sensitivity analysis: 3D venous modelling in the lower limb
Limet, Sébastien	BioSkel - Towards a framework for OMICS applications
Liu, Baoxu	Joint Spatial-Temporal Representation for Host Intrusion Detection System
Liu, Cuiwei	Study on hydrogen dissociation and adsorption behavior in hydrogen-blended natural gas pipelines
Liu, Hongyu	A Multilayer and temporal network for studying the connections of cross-listed stocks
Liu, Jiangguo	{\tt DarcyLite} Modules for Property-preserving Transport Solvers
Lobosco, Marcelo	Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy
Long, Jiang	From Recursion to Parallelism: Plug & Play Dynamic Programming
Low, William	AI-enhanced agent-based modelling approach for forced displacement predictions
Ltaief, Hatem	On floating point approximation of the reciprocal cube root function
Lukiewicz, Konrad	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Luo, Lijing	Predicting future collaborations in a scientific community using graph neural networks
Luque, Emilio	Modelling AI Applications using PAS2P on HPC Cloud Environments Preliminary comparison of different EDs performance, using Simulation A customizable Agent-Based Simulation Framework for Emergency Departments
Lytaev, Mikhail	Neural parabolic wave equation for refractivity estimation
Löffler, Wolfgang	Making Astrometric Solver Tractable through In-Situ Visual Analytics
Lübke, Max	A fast MPI-based Distributed Hash-Table as Surrogate Model for HPC Applications
M
Ma, Wentao	Microfluidic Digital Twin for Enhanced Single-Cell Analysis
Macaluso, Antonio	i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
Maczuga, Paweł	Tensorial Implementation for Robust Variational Physics-Informed Neural Networks Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab Physics Informed Neural Networks for Non-Stationary Material Science Problems
Maczuga, Paweł	Graph grammar model for h-adaptation for meshes with quadrilateral, pentagon, and hexagon elements
Magdziak, Filip	Performance-energy investigation of selected applications using a parallel multi-GPU genetic algorithm under power capping
Magri, Luca	Online model learning with data-assimilated reservoir computers Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
Mahalanabis, Riddhika	Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features
Mahmud, Samreen Tahia	Microfluidic Digital Twin for Enhanced Single-Cell Analysis
Mak, Gracjan	An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection
Malawski, Maciej	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow Towards sensitivity analysis: 3D venous modelling in the lower limb
Malczewski, Krzysztof	Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction
Malysiak-Mrozek, Bozena	Automatic Help Summoning through Speech Analysis on Mobile Devices
Marcellino, Livia	First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological model
Marcjan, Łukasz	Exploration and Learning Algorithms Used for Predicting Casting Properties
Margalef, Tomas	Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions Efficient Peptide MRM Transition Prediction via Convolutional Hashing
Markidis, Stefano	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
Markiewicz, Maciej	Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering
Martin, Aristotle	Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations
Mastalerczyk, Mateusz	Structural Limiting Range of Perception in PSO
Matejuk, Kamil	Predicting stock prices with ChatGPT-annotated Reddit sentiment: Hype or reality?
Matys, Piotr	AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Mazur, Damian	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Mazur, Dawid	Hyperspectral image segmentation with a machine learning model trained using quantum annealer
Mazurek, Szymon	Fast prediction of job execution times in the ALICE Grid through GPU-Based Inference with Quantization and Sparsity Techniques
Małysza, Marcin	Exploration and Learning Algorithms Used for Predicting Casting Properties
McCullough, Jon	FUMEplot: a Prototype Tool for Automated Visualisation of Uncertainties in Ensemble Modelling Outputs
Mehra, Mani	Fourier Error Analysis of Caputo Derivative Approximations based on Lagrange Interpolation over Uniform Mesh
Mendl, Christian	Optimization Framework for Reducing Mid-circuit Measurements and Resets Dead Gate Elimination
Mengesha, Isaak	Evolutionary game selection leads to emergent Inequality
Mesas Cervilla, Francisco	A customizable Agent-Based Simulation Framework for Emergency Departments
Milano, Marianna	A machine learning-based framework for predicting candidate drug side effects from biological networks Biological Community Detection with Graph neural network and Network Curvature analysis on Gene Co-expression Networks.
Minh Dam, Tien	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
Mirosław, Piotr	From Statement of Facts to Statutory Provisions – Efficient Retrieval of Relevant Legislation
Miró, Josep Ramón	Applying a Genetic Algorithm to Optimize Hail Prediction Using the Weather Research and Forecasting Model
Mishra, Manish Kumar	Algorithm Selection in Short-Range Molecular Dynamics Simulations
Mo, Wenli	Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
Mogilevskii, Aleksandr	Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images
Mogli, Rohit	Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features
Mollet, Lucile	BioSkel - Towards a framework for OMICS applications
Monfroy, Eric	Exact and approximate methods for solving the edge-strength problem Modeling the Cyclic Bandwidth Problem in QUBO for Quantum Annealing
Moroz, Leonid	Low Latency Recoding CORDIC Algorithm for FPGA Implementation
Moska, Julia	Is heterogeneous model soup tasty? A Multidimensional Evaluation of Diverse Model Soups in Language Model Alignment
Motyka, Dawid	Is heterogeneous model soup tasty? A Multidimensional Evaluation of Diverse Model Soups in Language Model Alignment
Mrozek, Dariusz	Automatic Help Summoning through Speech Analysis on Mobile Devices
Murakami, Sota	Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
Mysore Venkatesh, Supreeth	i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
N
Nagai, Rikuto	Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design
Nakao, Kai	Generation of quality Green’s function libraries in complex three-dimensional crustal structures by adaptive mesh refinement
Narracott, Andrew	Towards sensitivity analysis: 3D venous modelling in the lower limb
Neff, Volker	Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies
Neumann, Philipp	Node-level Performance of Adaptive Resolution in ls1 mardyn Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware
Newcome, Samuel James	Algorithm Selection in Short-Range Molecular Dynamics Simulations
Neykova, Rumyana	Reversed Model Verification by Inferring Conceptual Models from Simulation Code
Ngoc Vu, Vinh	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
Nikitin, Nikolay	Rockburst Forecasting using Composite Modeling for Seismic Sensors Data Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting
Nishiya, Yusuke	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers
Noakes, Lyle	Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization
Noculak, Kornelia	Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset
Novoa, Andrea	Online model learning with data-assimilated reservoir computers Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
Nowinski, Wieslaw	From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale
Nwobodo, Onyeka Josephine	Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments
Nycz, Monika	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
Nycz, Tomasz	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
O
O'Connor, Rory	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide
Ogrodniczuk, Maciej	NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish
Ogura, Masaki	Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design
Okazaki, Atsushi	Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design
Okulska, Inez	PoliChat: Retrieval Augmented Generation on University Documents and Regulations
Oliver Serra, Albert	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen Graph grammar model for h-adaptation for meshes with quadrilateral, pentagon, and hexagon elements
Olsak, Ondrej	Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation
Ooi, Chin Chun	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics
Orzechowski, Michał	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Otta, Magdalena	Towards sensitivity analysis: 3D venous modelling in the lower limb
Ozan, Defne Ege	Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
P
Pabisz, Magdalena	EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations
Panadero, Javier	Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions
Papi, Alberto	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Paradowski, Bartosz	Compromise Fuzzy Ranking: a novel method for reaching consensus in complex multi-criteria decision problems
Pareja-Flores, Cristobal	Modelling Extreme Uncertainty: Queues with Pareto Inter-Arrival Times and Pareto Service Times
Parida, Swati Sampada	Enzyme Stability Prediction: Advancing with Ensemble Machine Learning and Explainable Artificial Intelligence
Park, Hyewon	Formal Security Analysis of the Authentication Protocol in Smart Cities using AVISPA
Park, Yohan	Formal Security Analysis of the Authentication Protocol in Smart Cities using AVISPA
Paruch, Edyta	Graph grammar model for h-adaptation for meshes with quadrilateral, pentagon, and hexagon elements
Paszynska, Ania	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen Graph grammar model for h-adaptation for meshes with quadrilateral, pentagon, and hexagon elements Introducing B-spline basis functions in neural network approximations
Paszynski, Maciej	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen Tensorial Implementation for Robust Variational Physics-Informed Neural Networks Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab Physics Informed Neural Networks for Non-Stationary Material Science Problems EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations Introducing B-spline basis functions in neural network approximations
Pechko, Anastasiya	Adaptive Modular Housing Design for Crisis Situations
Peng, Ivy	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models
Pennati, Luca	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models
Perez, Ismael	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Peruvemba Ramaswamy, Vaidyanathan	Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach
Petchsritong, Pichchaya	Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System
Petri, Stefan	A fast MPI-based Distributed Hash-Table as Surrogate Model for HPC Applications
Phassadawongse, Dhana	Quantum-Classical Dual Kernel SVMs for Power Quality Classification
Piasecki, Maciej	CiteVerifier: How Good Are Citation Verifiers and How to Use Them? PoliChat: Retrieval Augmented Generation on University Documents and Regulations
Piekarz, Monika	Time and energy consumption of multithreaded matrix factorization using various compilers optimizations
Piggott, Matthew D.	Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
Pingali, Keshav	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
Pingitore, Giulia	A machine learning-based framework for predicting candidate drug side effects from biological networks
Pinzon Escobar, Jose Alfonso	Node-level Performance of Adaptive Resolution in ls1 mardyn
Pitts, Ollie	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Poczekajło, Paweł	Low Latency Recoding CORDIC Algorithm for FPGA Implementation
Podpora, Michal	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Polverari E Silva, Laura	A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections
Potemkin, Vadim	Rockburst Forecasting using Composite Modeling for Seismic Sensors Data
Pradana, Andri	Bus Loop Scheduling with Dueling Double Deep Q Network
Prazuck, Thierry	BioSkel - Towards a framework for OMICS applications
Preuß, Hauke	Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware
Przybyła-Kasperek, Małgorzata	Unified and Diverse Coalition Formation in Dispersed Data Classification -- A Conflict Analysis Approach with Weighted Decision Trees Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification Novel Hierarchical Decision Tree Frameworks Introducing Tree Method Bagging-Stump Integration and Height Optimization
Pucelik, Barbara	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
Purawat, Shweta	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Q
Quang Nguyen, Bang	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
Quintela, Barbara	Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling
R
Rabe, Klaus	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Racheniuk, Henryk	Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Radek, Jakub	Graph grammar model for h-adaptation for meshes with quadrilateral, pentagon, and hexagon elements
Radliński, Łukasz	Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification.
Ramirez, Raul	Modelling Extreme Uncertainty: Queues with Pareto Inter-Arrival Times and Pareto Service Times
Randles, Amanda	Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations Microfluidic Digital Twin for Enhanced Single-Cell Analysis
Raptis, Savvas	Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
Reis Ribeiro, Matheus	Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling
Ren, Fangli	Joint Spatial-Temporal Representation for Host Intrusion Detection System
Ren, Fei	Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning
Revin, Ilia	Rockburst Forecasting using Composite Modeling for Seismic Sensors Data
Rex, Rachel	Microfluidic Digital Twin for Enhanced Single-Cell Analysis
Rexachs, Dolores	Modelling AI Applications using PAS2P on HPC Cloud Environments Preliminary comparison of different EDs performance, using Simulation A customizable Agent-Based Simulation Framework for Emergency Departments
Robak, Jakub	Turn Detection in Alpine Skiing Using Smartphone Sensors
Robert, Sophie	BioSkel - Towards a framework for OMICS applications
Rodrigues, João M.F.	Microscopic Binary Engagement Model
Rodriguez, Mirta	Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions
Rodriguez-Tello, Eduardo	Exact and approximate methods for solving the edge-strength problem
Rojas, Sergio	A test space refinement strategy for Robust Variational Physics-Informed Neural Networks
Rojas, Sergio	Adaptive Integration Point Selection for Robust Variational Physics-Informed Neural Networks
Rossetto, Lorenzo	Applying a Genetic Algorithm to Optimize Hail Prediction Using the Weather Research and Forecasting Model
Roy, Debraj	Evolutionary game selection leads to emergent Inequality
Rutkowski, Leszek	Sequential, parallel and consecutive hybrid evolutionary-swarm optimization metaheuristics
Ryabinin, Konstantin	Making Astrometric Solver Tractable through In-Situ Visual Analytics
Rybotycki, Tomasz	Hyperspectral image segmentation with a machine learning model trained using quantum annealer On the status of current quantum machine learning software
S
Saah, David	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Sacewicz, Jakub	Unified and Diverse Coalition Formation in Dispersed Data Classification -- A Conflict Analysis Approach with Weighted Decision Trees
Sanchez Gayet, Paula	Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping
Sanjuan, Gemma	Efficient Peptide MRM Transition Prediction via Convolutional Hashing
Santos, Rodrigo	Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling
Sarras, Gerasimos	Making Astrometric Solver Tractable through In-Situ Visual Analytics
Sato, Hiroto	Comparison of crash simulations on two types of flying cars
Sawerwain, Marek	Classification of the Polish Handwritten Letters by the use of Quantum Convolutional Neural Network
Sałabun, Wojciech	Compromise Fuzzy Ranking: a novel method for reaching consensus in complex multi-criteria decision problems A new approach to large-scale multi-criteria group decision-making based on the RANCOM method Incorporating Performance Ordering in MCDA: A Study of the Frobenius SPOTIS Method
Schiller, Ulf D.	Structural response of bijels stabilized by ellipsoidal magnetic particles
Schmidt, Bertil	cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores
Schnor, Bettina	A fast MPI-based Distributed Hash-Table as Surrogate Model for HPC Applications
Schröter, Kai	Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
Seidl, Helmut	Dead Gate Elimination
Seweryn, Karolina	Is heterogeneous model soup tasty? A Multidimensional Evaluation of Diverse Model Soups in Language Model Alignment Improving Object Detection Quality in Football Through Super-Resolution Techniques
Shah, Anand	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Shang, Shang	Joint Spatial-Temporal Representation for Host Intrusion Detection System
Sharma, Rinki	A Fractional Computation Based Deep Learning Framework for Silicosis Detection
Sharova, Alyona	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches
Shekhovtsov, Andrii	Incorporating Performance Ordering in MCDA: A Study of the Frobenius SPOTIS Method
Shen, Yuqiang	Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications
Sheng, Lin	Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications
Sheraton, Vivek M	A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma Multiscale Parallel Simulation of Malignant Pleural Mesothelioma via Adaptive Domain Partitioning – an Efficiency Analysis Study
Sheremet, Mikhail	Natural convection in periodically heated porous-fluid system under local thermal non-equilibrium conditions: a numerical study for enhanced thermal management
Shi, Yong	Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance
Shimokawabe, Takashi	Accelerating LBM with C++ STL Asynchronous Parallel Model
Siddiqui, Salman	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Sikora, Maciej	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab Introducing B-spline basis functions in neural network approximations
Singh, David	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Siwik, Leszek	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen
Skarupski, Mateusz	Instance selection by fast local set border selector
Sklyar, Grigory	Control synthesis of homogeneous approximations of nonlinear systems
Sluzalec, Tomasz	Tensorial Implementation for Robust Variational Physics-Informed Neural Networks Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab Physics Informed Neural Networks for Non-Stationary Material Science Problems Augmenting Petrov-Galerkin method with optimal test functions by DNN learning the inverse of the Gram matrix
Sluzek, Andrzej	A New Technique for Enhanced Monochrome Visualization of Non-Visual Data
Smołka, Maciej	Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution
Smywiński-Pohl, Aleksander	From Statement of Facts to Statutory Provisions – Efficient Retrieval of Relevant Legislation
Sohn, Lydia	Microfluidic Digital Twin for Enhanced Single-Cell Analysis
Solovev, Gleb	Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting
Song, Jin Pei	Advancing Bird Species Classification: A Fusion of Audio and Image Data
Song, Yena	Information flow between neighboring housing markets: A case from the Seoul metropolitan area
Srivastava, Apoorv	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
Stachura, Piotr	The use of the Chat GPT to solve mathematical programming tasks: a didactic experiment with the participation of Warsaw University of Life Sciences students
Strug, Barbara	Adaptive Modular Housing Design for Crisis Situations
Subramani, Deepak	Discrete Residual Loss Functions for Training Physics-Informed Neural Networks
Suchorab, Aleksander	Hierarchical Structural Information -- Theory and Applications
Sujecki, Sławomir	A novel routing algorithm for optical networks based on ML methods
Sukhomlinova, Tatiana	Predicting future collaborations in a scientific community using graph neural networks
Suleimenova, Diana	AI-enhanced agent-based modelling approach for forced displacement predictions
Sun, Shuyu	Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
Sun, Shuyu	F3cake: A Julia-Based Platform for Automatic Discretization and Solution of Partial Differential Equations Verified Eigenvalue Calculation for the Laplace Operator An Iterative Scheme for the Solidification and Macro-segregation Benchmark Modeling A Thermodynamically Consistent Model for Fluid-Solid Coupling in Fractured Porous Elastic Media with Strongly Compressible Fluid Flow An Unconditionally Stable Split-Parallel Algorithm for the Coupled Stokes-Parabolic System Based on the Three-Field Biot Model
Sun, Xu	Study on consequences and safety distance for leakage and explosion in pipelines of hydrogen-blended natural gas stations
Sunderam, Vaidy	Automatic Help Summoning through Speech Analysis on Mobile Devices
Suppi Boldrito, Remo	Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping Preliminary comparison of different EDs performance, using Simulation
Sułek, Adam	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
Szandała, Tomasz	AIOps for Reliability: Evaluating Large Language Models for Automated Root Cause Analysis in Chaos Engineering
Szczęsny, Aleksander	Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering
Szeider, Stefan	Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach
Szeliga, Danuta	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab Physics Informed Neural Networks for Non-Stationary Material Science Problems
Szerszen, Krzysztof	Regularization Algorithm for Eliminating Singularities in the PIES Formula for 3D Multidomain Orthotropic Problems
Sztangret, Łukasz	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab Physics Informed Neural Networks for Non-Stationary Material Science Problems
Szubert, Marcin	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
T
Taboada, Manel	A customizable Agent-Based Simulation Framework for Emergency Departments
Takeuchi, Seiichi	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers Numerical Analysis of Dolphin Kick in Competitive Swimming with Free Surface Effects Comparison of crash simulations on two types of flying cars
Takii, Ayato	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers Numerical Analysis of Dolphin Kick in Competitive Swimming with Free Surface Effects Comparison of crash simulations on two types of flying cars
Talia, Domenico	Data-Centric Parallel Programming Abstractions for High Performance Computations
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Łoś, Marcin	Physics Informed Neural Networks for Non-Stationary Material Science Problems
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