Conference Information
PADS 2024: ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
https://sigsim.acm.org/conf/pads/2024/Submission Date: |
2024-02-11 Extended |
Notification Date: |
2024-04-03 |
Conference Date: |
2024-06-24 |
Location: |
Atlanta, Georgia, USA |
Years: |
38 |
CORE: b QUALIS: b1 Viewed: 18371 Tracked: 2 Attend: 0
Call For Papers
About The ACM SIGSIM PADS conference focuses on cutting-edge research at the intersection of Computer Science and Modeling and Simulation (M&S). High-quality papers are solicited in all aspects of M&S. This year brings about fresh changes, including the introduction of thematic tracks and a two-phase submission process, ensuring a more diversified and comprehensive participation. Topics We encourage submissions that align with the tracks, especially the emerging topics which offer a novel focus for the year. The topics of the tracks are not considered comprehensive: we accept high-quality papers on all aspects of M&S. Regular Tracks 1. Simulation algorithms and infrastructure — Track Chair: Francesco Quaglia (Tor Vergata University of Rome, Italy) Synchronization, scheduling, memory management, load balancing, runtime environments, fault tolerance Simulation on emerging hardware platforms Simulation in cloud environments, simulation as a service 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 Chair: Adelinde Uhrmacher (University of Rostock, Germany) Modeling formalisms and domain-specific languages Model reuse, composition, interoperability, and provenance Hybrid (continuous & discrete) modeling Experiment design, V&V, model calibration, simulation-based inference Automatic model generation, data-driven model creation Big data-driven modeling and output analysis 3. Applications of advanced discrete simulation methods — Track Co-Chairs: Kevin Jin (University of Arkansas, AS, USA) & Philipp Andelfinger (University of Rostock, Germany) Case studies considering the application of new or advanced computational methods to applications of contemporary interest, such as: Domain Applications Healthcare and epidemic modeling Transportation and urban planning Manufacturing and logistics optimization Financial systems and market simulations Environmental and climate change modeling Defense and emergency response scenarios Social network and behavior modeling Smart city and infrastructure planning Gaming and entertainment industry applications Network and System Simulations Wireless, mobile, ad-hoc, sensor network simulations Simulation of HPC interconnects, LAN, WAN, and peer-to-peer overlay networks Hardware performance prediction via simulation Cyber-physical systems Cyber security and simulation Cross-cutting Simulation Applications Virtual and augmented reality simulations Simulation with Big Data Sustainable and energy-efficient simulation Special Tracks on Emerging Topics: 1. AI and Simulation — Track Chair: Christopher Carothers (Rensselaer Polytechnic Institute, NY, USA) Bridging machine learning models with simulation frameworks Real-time AI-driven adaptive simulation environments Training agents in simulated environments Transfer learning from simulation to real-world scenarios Using AI to predict future simulation states or events Enhancing simulation accuracy through AI-driven predictions Incorporating big data analytics into simulation processes Using AI to streamline data preprocessing for simulations Using AI to validate simulation models and outputs Benchmarking AI-driven simulations against traditional methods Employing AI algorithms for simulation optimization tasks Dynamic reconfiguration of simulations based on AI insights Using simulations for data augmentation in deep learning Evaluating and testing neural network robustness in simulated scenarios Real-world applications of integrating AI and simulation 2. Quantum Computing and Simulation — Track Chair: Prasanna Date (Oak Ridge National Laboratory, TN, USA) Novel, impactful, and original contributions highlighting quantum simulations including, but not limited to, the following areas are highly encouraged: Astronomy Biology Chemistry Chemical Engineering Computer Engineering Economics Electrical & Electronics Engineering Environmental Science Finance Geospatial Science High Energy Physics Information Science Materials Science Mechanical Engineering Medical Science Pharmaceutical Science Physics Quantum Communication & Cryptography Quantum Chemistry Quantum Physics The specific topics in the papers can also address novel quantum algorithms (including but not limited to quantum monte carlo, variational quantum algorithms, quantum machine learning etc.), theoretical contributions, architectures, applications, data embedding techniques, and any other research contributions that aid in quantum simulations.
Last updated by Lu Jing in 2024-01-08
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Advances in Materials Science and Engineering: An International Journal | AIRCC | |
Signal & Image Processing : An International Journal | AIRCC | |
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