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However, the topics of the tracks are not considered comprehensive: we accept high-quality papers on all aspects of M&S. Submit papers via email: iccmsa2025@126.com. Regular Tracks 1. Simulation algorithms and infrastructure Track Co-Chairs: Alessandro Pellegrini (Tor Vergata University of Rome, Italy) Philipp Andelfinger (NTU, Singapore) Synchronization, scheduling, memory management, load balancing, runtime environments, fault tolerance Simulation on emerging hardware platforms Data-driven simulation systems: Digital Twins, DDDAS, symbiotic simulation Simulation engines and techniques for differentiable simulation and reinforcement learning Performance evaluation of simulation systems 2. Modeling Methodology Track Co-Chairs: Hans Vandheluwe (University of Antwerp, Belgium) Pia Wilsdorf (University of Rostock, Germany) Modeling formalisms and domain-specific languages Model-based approaches for reuse, composition Experiment design, V&V, model calibration, uncertainty quantification, simulation-based inference Conceptual modeling Automatic model generation, data-driven model creation, and model adaptations Model ensembles, explorative modeling 3. Applications of advanced discrete simulation methods Track Co-Chairs: Niki Popper (TU Wien, Austria) Fabian Lorig (Malmö University, Sweden) Case studies considering the application of new or advanced computational methods to applications of contemporary interest, such as: Cell biology Cyber-physical systems Emergency response and crisis preparedness Epidemics and healthcare Manufacturing and logistics Social networks and human behavior Transportation and urban planning Wireless, mobile, ad-hoc, and sensor networks Special Tracks: 1. Model reduction Track Chair: Jerome Feret (DI-NES, Paris, France) Due to the inherent complexity of models found in biology and other application areas, their simulation can often only be achieved with model reduction. Model reduction is an interdisciplinary area where ideas from mathematics, physics, and computer sciences are combined to discover the most important quantities to drive the dynamics of the modeled systems. This session will cover: Exact, numerically approximate, or interval-based model reduction approaches Both differential and stochastic approaches Approaches based on low-level descriptions (such as ODEs and CTMCs) or higher lever descriptions (such as rule-based models) of models. 2.Cutting-edge approaches in Computational Economics Track Co-Chairs: Andrea Vandin (Scuola Superiore Sant’Anna, Pisa, Italy) Marco Pangallo (CentAI, Turin, Italy) We encourage contributions highlighting novel approaches in computational economics, including, but not limited to: Reasoning agents: Advanced reasoning capabilities in agent-based models Learning agents: Multi-agent reinforcement learning Discrete vs continuous simulations: does it matter? Can we trust agents? Methodologies to explain and automate agent-based analyses Methodologies to automate the calibration of agent models Supporting modelers: advanced tool support for agent-based models Agents mining: inference and mining of agent-based models The target audience is interdisciplinary: on the one hand, we seek contributions from social scientists interested in computational and data-driven approaches; on the other hand, we solicit contributions from STEM scientists and engineers interested in applications from the social sciences. 3. Visualization for communicating and understanding simulation studies and results Track Chair: Stefan Bruckner (University of Rostock, Germany) This track encourages submissions that focus on visualization and visual analytics methods and tools for enhancing the communication and interpretation of simulation results. Topics of interest include, but are not limited to: Visualization for Decision Support: Design and development of visual tools that enhance decision-making processes by effectively conveying simulation outcomes Comparative Visualization: Techniques for comparing multiple simulations or datasets visually to identify patterns, differences, and trends Uncertainty Visualization: Visual methods for representing and communicating uncertainties inherent in simulation studies Scalability in Visualization: Approaches for handling large-scale simulation data in a visually effective manner Storytelling and Narrative Visualization: Methods and approaches for creating dynamic narratives around simulation studies Immersive Analytics: Solutions that allow users to interact with and explore simulation data in immersive environments User-Centered Design: Creating visualization tools tailored to the needs of diverse stakeholders, from modelers to decision-makers Automated Visualization Pipelines: Methodologies for automating the generation of insightful visualizations from simulation results Machine Learning Integration: Visualization methods that incorporate machine learning to automatically generate, optimize, or refine visual representations of simulation data This track is designed to attract an interdisciplinary audience, including visualization researchers and practitioners who are keen on developing innovative techniques for interpreting and communicating complex data, as well as members of the simulation community interested in leveraging advanced visualization methods to enhance the analysis and presentation of their simulation studies. The goal is to foster collaboration and knowledge exchange between these communities to drive forward both fields. 4. Digital Twins Track Co-Chairs: Dong (Kevin) Jin (University of Arkansas, USA) Srikanth Yoginath (Oak Ridge National Laboratory, USA) This mini-track explores innovative applications and advancements of digital twin technology in Modeling and Simulation. Topics include but are not limited to: Optimization of Simulation for Digital Twins: Optimization techniques to ensure simulations meet the operational performance requirements of digital twins Digital Twins Multi-Scale Issues: Techniques to address challenges in integrating simulations of multiple scales within digital twins Digital Twins Validation and Verification: Techniques for validating and verifying the accuracy and reliability of digital twin simulations Digital Twins of Complex Systems: Modeling and simulation techniques for creating digital twins of complex cyber-physical systems in various sectors (energy, manufacturing, transportation, smart building, etc.) Digital Twins Energy Aspects: Modeling and simulation techniques to study and optimize energy use and sustainability within digital twins Digital Twins Real-Time Constraints: Real-time challenges and solutions using simulation and optimization strategies to balance the need for high-fidelity models with real-time constraints in digital twins.</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/35496">Andrew Johnson</a> in 2025-01-10</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-thumbs-up"></i> Best Papers</div> </div> <div class="portlet-content"> <div id="yw3" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw3_c0">Year</th><th id="yw3_c1">Best Papers</th></tr> </thead> <tbody> <tr class="odd"> <td>2020</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Precise+Virtual+Time+Advancement+for+Network+Emulation">Precise Virtual Time Advancement for Network Emulation</a></td></tr> <tr class="even"> <td>2019</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=A+Distributed+Virtual+Time+System+on+Embedded+Linux+for+Evaluating+Cyber-Physical+Systems">A Distributed Virtual Time System on Embedded Linux for Evaluating Cyber-Physical Systems</a></td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/577"><span>4121</span><span>3375</span></div> </div></div> </div> <div class="portlet" id="yw5"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw6" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw6_c0">CCF</th><th id="yw6_c1">CORE</th><th id="yw6_c2">QUALIS</th><th id="yw6_c3">Short</th><th id="yw6_c4">Full Name</th><th id="yw6_c5">Submission</th><th id="yw6_c6">Notification</th><th id="yw6_c7">Conference</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td></td><td></td><td>DMML</td><td><a href="/conference/3811">International Conference on Data Mining and Machine 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