Conference Information

PADS 2027: ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

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Submission Date:
2027-01-22 Due in 97 days
Notification Date:
Conference Date:
2027-06-09
Location:
Atlanta, Georgia, USA
Years:
ICORE: B   QUALIS: B1   Viewed: 33359   Tracked: 2   Attend: 0
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PADS
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Conference Partner Index (CP-I)

69.9 / 100
Ranked #341 of 5,721 conferences · Top 6%
Academic recognition (35%)
78
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
100
Community attention (10%)
21
Public record completeness (15%)
70

Inputs used: Listed as ICORE B, QUALIS B1 · Editions on record: 41 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5)
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Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-17

Call For Papers

PADS 2027 (ACM SIGSIM Conference on Principles of Advanced Discrete Simulation) is a ICORE B / QUALIS B1 conference held in Atlanta, Georgia, USA on 2027-06-09. The paper submission deadline is 2027-01-22.

Topics We encourage submissions that align with the tracks. However, 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 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 Modeling formalisms and domain-specific languages Model-based approaches for reuse, composition, and evolution Experiment design, V&V, model calibration, uncertainty quantification, simulation-based inference Conceptual modeling Model families, and ensembles Explorative modeling 3. Applications of Advanced Discrete Simulation Methods Case studies considering the application of new or advanced computational methods to applications of contemporary interest, such as: Cell biology Cyber-physical systems Ecology Emergency response and crisis preparedness Energy systems Healthcare Manufacturing and logistics Smart systems/IoT Social networks Transportation and urban planning Wireless, mobile, ad-hoc, and sensor networks Quantum Computing Special Tracks: AI and Simulation Cybersecurity and Cyber Risk Management Digital Twins Model reduction Simulation-based optimization
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