X

2021 Annual Modeling and
Simulation Conference

July 19 - 22, 2021

George Mason University, Fairfax, Virginia, USA
Hybrid Event
Hosted by The Society for Modeling and Simulation International (SCS), the Annual Modeling and Simulation Conference (ANNSIM) is a new annual conference after merging SpringSim and SummerSim into a single conference starting in 2021. ANNSIM 2021 will be a hybrid event. It is the flagship conference of SCS to cover state-of-the-art developments in Modeling & Simulation (M&S). We invite original contributions to the theory and practice of modeling and simulation in any scientific or engineering discipline. The conference includes keynote speeches presented by technology and industry leaders, technical sessions, professional development tutorials, as well as vendor exhibits. Scientists, engineers, managers, educators, and business professionals who develop or use M&S methodologies and tools are invited to participate and present original contributions. Accepted papers will be submitted for inclusion into ACM and IEEE Xplore subject to meeting ACM and IEEE Xplore’s scope and quality requirements.

CALL FOR PAPERS

REGISTER HERE

IMPORTANT DATES & TRACKS

Important Dates

Tutorial Proposal Submission: March 22, 2021 (Extended)
Paper Submission: March 22, 2021 (Extended)
Author Notification: April 30, 2021
Camera-Ready Paper Submission: May 17, 2021

Keynotes

Kishor Trivedi

Prof. Kishor S. Trivedi, ECE Dept., Duke University, North Carolina, USA

Presentation Title: Reliability and Availability Modeling in Practice

Presentation Abstract: Reliability and availability assurance methods based on probabilistic models is the topic addressed in this talk. Key challenge in modeling of real-life complex systems is model largeness. Non-state-space solution methods are commonly used to solve models based on reliability block diagrams, fault trees and reliability graphs. Relatively efficient algorithms are known to handle systems with hundreds of components and have been implemented in many software packages. Nevertheless, many practical problems cannot be handled by such algorithms. Bounding algorithms are then used in such cases as was done for a major subsystem of Boeing 787. Non-state-space methods derive their efficiency from the independence assumption that is often violated in practice. State space methods based on Markov chains, stochastic Petri nets, semi-Markov and Markov regenerative processes can be used to model various kinds of dependencies among system components. However, the resulting state space explosion severely restricts the size of the problem that can be solved. Hierarchical and fixed-point iterative methods provide a scalable alternative that combines the strengths of state space and non-state-space methods and have been extensively used to solve real-life problems. We will take a journey through these model types via interesting real-world examples chosen from IBM, Cisco, Sun Microsystems, and Boeing. We will also mention other challenges such as how to take into account parametric uncertainty in model inputs and how to deal with non-exponential distributions.

Biography: Kishor Trivedi holds the Fitzgerald Hudson Chair in the Department of Electrical and Computer Engineering at Duke University. He has a 1968 B.Tech. (EE) from IIT Mumbai and MS’72/PhD’74 (CS) from the University of Illinois at Urbana-Champaign. He has been on the Duke faculty since 1975. He is the author of a well-known text entitled, Probability and Statistics with Reliability, Queuing and Computer Science Applications, originally published by Prentice-Hall; a thoroughly revised second edition of this book has been published by John Wiley. The book is recently translated into Chinese. He has also published two other books entitled, Performance and Reliability Analysis of Computer Systems, published by Kluwer Academic Publishers and Queueing Networks and Markov Chains, John Wiley. His latest book, Reliability and Availability Engineering is published by Cambridge University Press in 2017. He is a Life Fellow of the Institute of Electrical and Electronics Engineers and a Golden Core Member of IEEE Computer Society. He has published over 600 articles and has supervised 48 Ph.D. dissertations. He is the recipient of IEEE Computer Society’s Technical Achievement Award for his research on Software Aging and Rejuvenation. He is a recipient of IEEE Reliability Society’s Lifetime Achievement Award. His h-index is 107. He has worked closely with industry in carrying out reliability/availability analysis, providing short courses on reliability, availability, and in the development and dissemination of software packages such as HARP, SHARPE, SREPT and SPNP.


Oxford

Robert Axtell, Ph.D., George Mason University, Virginia, USA

Biography: Rob Axtell is Professor of Computational Social Science at George Mason University, Co-Director of the Computational Public Policy Lab at the Schar School of Government at Mason, and an affiliate of the Department of Economics there. His research focuses on the application of agent-based modeling and simulation (ABMS) techniques to economics and finance. He is the author, with Joshua Epstein, of Growing Artificial Societies: Social Science from the Bottom Up (MIT Press). His research has appeared in Science, Nature, Proceedings of the National Academy of Sciences, as well as in leading field-specific journals such as The American Economic Review, and has been reprised in leading newspapers (e.g., Wall St. Journal, Los Angeles Times, Washington Post) and science magazines (e.g., Scientific American, Technology Review, Wired). For the past several years he has been working on business firm dynamics, using data on all U.S. companies. Such ABMS involve more than 100 million interacting agents representing employees who form 6 million firms having size, ages, growth rates, and so on that conform closely with the empirical data on American businesses. This work, the first model of an actual economy at 1:1 scale, is described at length in his forthcoming book, Dynamics of Firms: Data, Theories, and Models, due out later this year.

Tracks

AI and Simulation (AIS)
Joon-Seok Kim and Andreas Züfle

Description:  Modeling and simulation (M&S) have advanced our understanding of complex systems and our controls over them in different areas. In the enterprise of exploring such complex systems, artificial intelligence (AI) and machine learning (ML) are a transformative technology shaping our knowledge and facilitating navigation in unconquered, unexplored, unknown frontiers. To push the boundaries of human understanding, marrying M&S with AI and ML is ineluctable and visionary. Leveraging the best of our knowledge of AI and ML allows us to accelerate, enhance, and delineate M&S.

This AI and Simulation (AIS) track is a dedicated forum to exchange our views, ideas, research methods, and applications to resolve the scientific question of what and how cutting-edge AI and ML methods can synergize M&S and vice versa. This track explorers M&S practices to which AI and ML methods are applied such as knowledge reasoning, computer vision, natural language processing, deep learning, and reinforcement learning.

In this track, we are seeking full papers (up to 12 pages) on original contributions across all modes of M&S leveraging AI and ML and interdisciplinary contributions that advance the state of the arts in AI and ML. This track will use the traditional format of having oral paper presentations. Topics of interest include, but not limited to:

  • Advancing validation and verification (V&V) using AI and ML
  • AI and ML methods for training and evolving agents
  • Best practices of convergence of AI and Simulation
  • Empirical comparisons of state-of-the-art AI and ML methods in M&S
  • Facilitating experimentation using AI and ML
  • M&S to improve AI and ML solutions
  • Simulation modeling tools and methods based on AI and ML
  • Simulation optimization using AI and ML
  • Visionary methodology of AI and ML in simulation

Annual Simulation Symposium (ANSS)
José Luis Risco Martín and Erika F. Frydenlund

Description:  Modeling and simulation (M&S) is currently the core of many industrial processes. It is a vital ingredient, since it can support early evaluation and optimization of designs, as well as ongoing verification while changes occur to make sure that the right product is developed with the required quality. However, there are still businesses that must understand that embracing M&S in project development and management is good practice, and this can be done showing real-world examples of success.

Real-world applications have been always the driving force for the development of Modeling and Simulation (M&S) theories. For over 50 years, the Annual Simulation Symposium has been a forum to exchange ideas, results, and methods related to real-world theories and applications of M&S for simulationists in industry, government, and academia.

The purpose of this track is to highlight and advance rigorous experimental, computational practices of M&S devoted to the study of real-world problems. Research on all topics concerning the practice of M&S theories are welcome. Authors are invited to present research of all kinds, including case studies and applications. Recommended topics in the track include, but are not limited to, the following with application to real-world problems:

  • Advances in the field of M&S for implementation purposes
  • Application of modeling formalisms into real world applications
  • Rigorous comparisons across M&S techniques
  • New applications of M&S
  • Novel uses of M&S in real world applications
  • Application of M&S to co-design, hardware-in-the-loop, co-simulation
  • M&S tools: performance analysis, scalability

Communications and Networking Simulation (CNS)
Abdolreza Abhari and Ala’a Al-Habashna

Description:  The Communications and Network (CNS) Track discusses Communications and Networks as they are the nerve system of Information Technology and a dominating part of our daily lives. Over the years, topics related to communication and network research have expanded from traditional compute network systems to emerging systems such as Internet of Things and to information and network-based systems in broader contexts. Quality of Service, Security, Interoperability, speedy access, and many other important requirements need to be studied together with these network-based systems to be able to measure and monitor them by methodologies such as simulation, a proven technique that can save costs, time, and lives. All papers describing design principles, network simulation, and applications pertinent (but not limited) to the following topics are welcome:

Broader Communication and Network-based Systems

  • Social networks modeling and simulation
  • Data-driven techniques for modeling and simulation
  • Web-based simulation and applications
  • Peer-to-Peer communications and computations
  • Neural networks, deep learning and AI related networks
  • Biological computing and software-defined networking
  • Healthcare system & infrastructure
  • Traffic network modeling and simulation
  • Large scale networks simulation
  • High-Level architecture simulation and applications
  • Network modeling techniques, verification, and validation

Cloud Computing and Distributed Systems

  • Cloud Performance
  • Cloud Interoperability
  • Hybrid & Enterprise Cloud Architecture
  • Simulation on the Cloud
  • Edge Computing and Smart Cities
  • Simulation tools for Distributed Computing

Internet of Things (IoT)

  • IoT Network and Architecture
  • IoT in Army and Manufacturing
  • IoT Smart Homes, Smart Cities and Environment
  • IoT Security, Energy and more
  • IoT Enabling Technologies and Applications

Wireless Network & Mobile Network

  • Cellular and Ad Hoc Network Simulation
  • Wireless Communications and Networks
  • Internet and Mobile  Application, Mobile QoS
  • Signaling and Routing Protocols
  • Smart Phone Application

Cyber Physical Systems (CPS)
Umut Durak and Claudio Gomes

Description:  The rate at which Cyber-Physical Systems (CPS) become complex is outpacing our ability to comprehend them. Evidence of this can be seen in the accidents of recent years. This is not only due to the fact that CPSs are complex. Their development process is also complex. While systems comprised of many interacting, heterogeneous, components, are fundamental to our society, the complexity in their development process should also be managed. For instance:

– Intellectual property protection poses challenges in producing holistic simulation of systems comprised of third party components; and
– Distributed development demands innovative collaborative modelling techniques.
Modeling and Simulation (M\&S) techniques have proven to mitigate these issues, but they face new challenges as more is being demanded from these techniques. Some example questions include:
– Can the models be used for monitoring the system across whole of its lifecycle, as in Digital Twins?
– How much can be simulations be relied upon, as in Simulation Governance?

This track focuses on new developments in Modelling and Simulation (M&S) that enable us to manage the complexity of CPS and their development, and addressing the above questions.

Partial list of topics of interest:

  • Applied Theory of Modeling and (Co-)Simulation of CPS
  • Advanced and Visual Analytics for (Co-)Simulation of CPS
  • (Co-)Simulation in Advanced Manufacturing and Industry 4.0
  • (Co-)Simulation Verification and Validation
  • Modeling and (Co-)Simulation as a Service
  • Correct and IP Safe (Co-)Simulation Cyber-Physical Systems
  • (Co-)Simulation Based Verification of Cyber-Physical Systems
  • (Co-)Simulation Based Optimization of Cyber-Physical Systems

Emerging Topic – Aspects of Pandemic Modeling (ET-APM)
Andreas Tolk and Jiangzhuo Chen

Description:  In early 2020, the SARS-CoV-2 virus took the world by surprise and resulted in the COVID-19 pandemic. The virus not only caused significant loss of life, but it also endangered worldwide the sustainability of health care systems. Non-pharmaceutical interventions (NPIs) were designed to counter these dangers, but they sometimes resulted in unintended consequences with possible negative long-term consequences, such as pausing of preventative medical care or delaying non-essential procedures. There were also social as well as economic consequences that affected countless families. This year’s track on emerging topics focuses on all these aspects of pandemic modeling, including intended and unintended effects of the NPIs, helping to understand the COVID-19 challenge as a multi-value, multi-criteria decision problem that requires interdisciplinary contributions to allow for better strategic planning now and in the future. Topics of interest to this track include, but are not limited to:

  • Compartmental SEIR models for epidemic research
  • Agent-based approaches for epidemic research
  • Artificial Intelligence/Machine Learning support
  • Hybrid Modeling and Simulation
  • Calibrating models with real-world data
  • Using real-world-data to develop models
  • Artificial societies and social simulation for NPI evaluation
  • Visualization of multi-value, multi-criteria options for decision support
  • Modeling and simulation-based Operations Research methods

High Performance Computing and Simulation (HPC)
Philip Wilsey and Sounak Gupta

Description:  Advances in novel and heterogeneous architectures, high-end computers, large data stores are ushering in a new era of high performance parallel and distributed simulations. Along with these new capabilities come new challenges in computing and system modeling. The goal of HPC 2021 is to encourage innovation in high performance computing and communication technologies and to promote synergistic advances in modeling methodologies and simulation. It will promote the exchange of ideas and information between universities, industry, supercomputing centers, and national laboratories about new developments in system modeling, high performance computing and communication, scientific computing as well as simulation.

Topics of interest include but are not limited to:

  • High performance computing for Big Data analytics
  • GPU, accelerator and co-processor computing; multicore and many-core computing
  • Exascale challenges
  • Power and energy-aware computing
  • Cloud, distributed, and grid computing
  • High performance numerical methods and programming
  • High performance system modeling and simulation
  • Large scale visualization and data management
  • Tools and environments for coupling parallel codes
  • Reproducibility of application performance results

Humans, Societies, and Artificial Agents (HSAA)
Philippe J. Giabbanelli and Andrew Crooks

Description:  Artificial societies have typically relied on agent-based models, Geographical Information Systems (GIS), or cellular automata to capture the decision-making processes of individuals in relation to places and/or social interactions. This has supported a wide range of applications (e.g., in archaeology, economics, geography, psychology, political science, or health) and research tasks (e.g., what-if scenarios or predictive models, models to guide data collection). Several opportunities have recently emerged that augment the capacity of artificial societies at capturing complex human and social behavior. Mixed-methods and hybrid approaches now enable the use of ‘big data’, for instance by combining machine learning with artificial societies to explore the model’s output (i.e., artificial societies as input to machine learning), define the model structure (i.e. machine learning as a preliminary to designing artificial societies), or run a model efficiently (i.e. machine learning as a proxy or surrogate to artificial societies). Datasets are also broader in type since artificial societies can now be built from text, or generate textual as well as visual outputs to better engage end-users. Authors are encouraged to submit papers in the following areas:

  • Applications of artificial societies (e.g., modeling group decisions and collective behaviors, emergence of social structures and norms, dynamics of social networks)
  • Data collection for artificial societies (e.g., using simulations to identify data gaps, population simulations with multiple data sources, use of the Internet-of-Things)
  • Design and implementation of artificial agents and societies (e.g., case studies, analyses of moral and ethical considerations)
  • Participatory modeling and simulation
  • Policy development and evaluation through simulations
  • Predictive models of social behavior
  • Simulations of societies as public educational tools
  • Mixed-methods (e.g., analyzing or generating text data with artificial societies, combining machine learning and artificial societies)
  • Models of individual decision-making, mobility patterns, or socio-environmental interactions
  • Testbeds and environments to facilitate artificial society development
  • Tools and methods (e.g., agent-based models, case-based modeling, soft systems)

Modeling and Simulation based Systems Engineering (MSBSE)
Andrea D’Ambrogio and Gregory Zacharewicz

Description:  The track aims to bring together experts in model-based, model-driven software and systems engineering and M&S experts, with the objective to advance the state of the art in M&S based systems engineering and simulation systems engineering.

System architecture models describe the structure of a system by specifying its components and their relations. Modeling and Simulation (M&S) based systems engineering further promotes executable models and proposes simulation as the native mechanisms to address measures of performance and effectiveness throughout conceptual design, development and later systems life cycle phases.

As the system complexity increases, the executable system architecture (i.e., the simulation model) may become so complex that it is necessary to assess it not only as a valid support of SE processes but also as an objective of SE efforts. Executing an interdisciplinary systems engineering process for developing, maintaining and employing simulations, which enable systems engineers to experiment and gain insights about the systems of interest, is referred to as simulation systems engineering.

We invite and encourage researchers and practitioners of M&S based systems engineering and simulation systems engineering from any application domain to publish and share their contributions at the track.

A partial list of topics of interest includes:

  • Model-driven approaches (e.g., MDE, MDA, MDI) in simulation engineering
  • Model-based design
  • Model-based testing
  • X-in-the-loop testing
  • SysML and executable architectures
  • Domain specific languages
  • Metamodeling
  • Model transformations
  • Model continuity
  • M&S based systems engineering in a given application domain (e.g., aerospace, defense, healthcare)
  • M&S based system of systems (SoS) engineering
  • M&S based engineering of adaptive systems
  • M&S based engineering of ultra large scale (ULS) systems
  • M&S based engineering of IoT systems
  • M&S based engineering for Smart Cities
  • M&S based engineering for Industry 4.0
  • M&S based design of autonomy features
  • Model-based engineering of distributed simulation systems
  • Model-driven technologies for different simulation paradigms (discrete event simulation, multi agent simulation, sketch-based simulation, etc.)

To stimulate creativity, however, the track maintains a wider scope and welcomes all contributions offering original perspectives on M&S based systems engineering and simulation systems engineering.


Modeling and Simulation for Smart Energy Systems (MSSES)
James Nutaro and Ozgur Ozmen

Description:  Smart energy systems integrate sensing, communication, and control to more efficiently produce, transmit, and use electrical power, and the new capabilities created by this technology have the potential to radically transform our economy. At the same time, smart energy systems are necessarily complex software systems that must be cost effective and perform reliably while overseeing critical tasks. Modeling and simulation will play an indispensable role in achieving the simultaneous goals of reliability and affordability by providing virtual venues in which to explore requirements, develop new algorithms, and perform software testing. This track invites papers describing novel uses of modeling and simulation to create and demonstrate smart energy systems that improve reliability, efficiency, environmental impact, and other aspects of energy generation. Topics of interest include, but are not limited to

  • Using of small, distributed electrical loads to provide ancillary services
  • Achieving high levels of renewable energy generation
  • Micro-grids
  • Smart buildings
  • Power flow control
  • Advanced batteries
  • Energy efficiency
  • Sensor technologies
  • New or more efficient forms of power generation

Modeling and Simulation in Cyber Security (MSCS)
Sachin Shetty and Danda Rawat

Description:  Modeling and Simulation has the ability to improve our understanding and gain better insights into the exploitability and impact of threat landscape in cyber systems underpinning several critical infrastructures. The emergence of Internet of Everything has resulted in the growth in interactions between humans, physical and cyber systems and there is a increased need to understand how these interactions could be exploited by adversaries. Modeling and simulation provide a cost-effective means to support research, development, refinement, deployment, and evaluation of the next generation of security solutions for preventing, detecting, and recovering from cyber-attacks and failures. The goal of this track is to provide a forum to present and discuss advancements in research, tools, techniques, solutions, best practices, and heuristics related to the modeling and simulation of cybersecurity. The symposium will address all aspects of modeling, analyzing, design, simulation, implementation, deployment and management of security algorithms, protocols, architectures and systems. We encourage submissions related to all aspects of cybersecurity in a modeling and simulation context in a broad spectrum of application areas. Topics of interest include, but are not limited to:

  • Formal models for cybersecurity simulation
  • Cybersecurity evaluation and assessment approaches
  • Testbeds and experimental infrastructure for cybersecurity simulation
  • Simulation platforms for cybersecurity assessment
  • Hybrid simulations for cyber physical system security
  • Modeling and Analysis of Networked security systems
  • Modeling security and privacy in mobile and cellular networks
  • Modeling security for future Internet architectures
  • Risk assessment and management
  • Systems engineering for security

Modeling and Simulation in Medicine (MSM)
Minsik Hong, Jerzy W. Rozenblit, and Johannes Sametinger

Description:  The past decade has brought about a dramatic increase in the deployment of simulation-based techniques in medicine and its related healthcare fields. We use simulation scenarios extensively for training of medical personnel, students, first responders, and emergency response coordinators. Rapid advances in computer technologies, biomedical and systems engineering, drive the development of cyber physical systems that serve as simulation based training platforms. Such integrated engineering and scientific methods are also the basis for design and development of new medical devices whose reliability, safety, and cybersecurity are paramount for the well-being of patients. In addition, very complex models “digitally” plan pharmaceutical studies, assess potential treatment modalities, and carry out analytics on big health related data sets. It is clear that we need to strengthen methodological and theoretical foundations in order to provide integrated, connected, and cross-cutting solutions for modeling and simulation in healthcare. This meeting will unify approaches for such solutions and “connect” researchers, developers, and medical practitioners in an attempt to further advance the simulation modeling agenda in medicine.

The conference will focus on (but will not be limited to) the following topical areas:

  • Modeling and simulation in medicine: fundamental research
  • Training and education
  • Care delivery, outcomes, and patient’s safety
  • Robotics and its applications in training and “in vivo”
  • Life-critical systems
  •  Systems integration: “connected health”
  • Cybersecurity of medical IT systems and devices
  • Data science for health predictive analytics

We solicit papers to address the above and related areas with focus on both the underlying methodological and theoretical foundations and practical applications.


Theory and Foundations for Modeling and Simulation (TMS)
Gabriel Wainer and Andrea Vandin

Description:  The purpose of this track is to provide a forum to discuss recent advancements in M&S theory. The main focus is on modeling, methodology, practice and software to cope with the challenges arising out of these, as well as lessons learned and challenges. The Symposium bridges different areas in the field of theory of M&S, including formal modeling, model-checking, graph transformation, modeling methodologies. Topics of interest include (but are not limited to):

Theory

  • Advances in Modeling Formalisms (DEVS, Petri nets, Statecharts, etc.)
  • Model Transformation
  • Model Checking and Verification
  • Formalism-Based Model Debugging

Modular Approaches in M&S

  • Model Composition
  • Co-simulation
  • Interoperability
  • Modular Modeling of Hybrid Systems
  • Modular Modeling of Spatially Distributed Systems
  • Modular Representation of Numerical Solvers

Complex Systems M&S

  • Multi-Paradigm/Multi-Domain Modeling
  • Multi-Resolution/Multiscale Modeling
  • Cyber-Physical Systems M&S
  • Ultra Large Scale Systems M&S
  • Systems of Systems M&S

M&S Technologies

  • Parallel/Distributed/Cloud-Based Simulation
  • Real-Time and Interactive Simulation
  • M&S of Embedded Systems

M&S Tools and Standards

  • Simulation Languages/Libraries
  • Simulation Development/Visualization Tools
  • M&S Repositories/Data Formats

Tutorial Track
Joachim Denil

Description:  Following the tradition of SpringSim and SummerSim, the Annual Modeling and Simulation Conference will host several high-quality tutorials as part of its conference.  Tutorials provide researchers and practitioners with the opportunity to introduce their applications, tools, methodologies or theories in 90-120 minutes long tutorials.

Tutorials engage conference attendees in extended discussions and are great venues for hands-on activities. Tutorials can be introductory, oriented toward the participants who are interested in broadening their knowledge or, advanced tutorials for the participants who seek the latest advances in modelling and simulation. We would like to invite and encourage modelling and simulation researchers and practitioners in academia, government agencies or industry to submit proposals for tutorials.

Topics of interest include modelling and simulation theories, methodologies and tools. Application areas include but are not limited to accessibility, collaborative training, learning everywhere, human-simulation interface, inclusion, cyber-physical systems simulation, Internet-of-things simulation, multi-sensory simulation environments, aviation and aerospace, environment, energy, and other industries.


M&S Poster & Demo Track
Salim Chemlal and Mohammad F. Obeid

Description:  The M&S posters and demos track provides a prime opportunity for students and researchers to showcase their prototypes and research ideas and get feedback from experts in the field, fellow researchers, and conference attendees. The track is open to graduate students, post-docs, and researchers at all stages of their careers. Undergraduate students are cordially invited to submit and participate in the Demos.

Posters offer an opportunity for presenting late-breaking research results, on-going research, and speculative or innovative work in progress. Demos are an excellent way to showcase the developed simulation and share technical aspects of system design that are difficult to capture in a “static” presentation. The system does not necessarily have to be in its final completed stage. Demos are also an opportunity for full-paper authors to advertise their actual presentation.

Submissions Guidelines: Submissions for Posters and Demos consist of a 2-page extended abstract paper. All abstracts should describe the research motivation, M&S relevance of the problems being addressed, proposed methodology, and results of completed research. Demo abstracts should convey the development as well as screenshots of the simulation. The demo should not be a plug-and-play experience that conveys various simulation outcomes. Limited use of open-source tools and libraries can be incorporated; however, the use of commercial simulation tools is not allowed in the demo. Authors may also include a URL of a screencast video and additional external material in their submission. Abstracts should be submitted through the ANNSIM START System, as PDF files formatted using the templates provided on the ANNSIM webpage.

Accepted poster and demo abstracts will be published in the conference program but not in the conference proceedings.

Poster and Demo Presentations: For each accepted poster and demo, a video recording of the presentation will have to be submitted. The recording has to be less than 10 minutes. One of the authors must be present during the online Q&A sessions scheduled in the program. The poster presentation can consist of one or more landscape slides. The demo presentation can be supplemented with a ppt presentation.

Awards: Each presentation will be reviewed among the organizing committee for best poster and demo awards. The main evaluation criteria include the relevance and quality of the posters and demos in terms of originality, relevance to M&S, technical soundness, and presentation quality. A certificate will be awarded to: 1) Best Overall Demo; 2) Best Undergraduate Demo; and 3) Best Poster.

Submission Guidelines

Where to submit: For all submissions, unless noted otherwise in their guidelines, go to: https://www.softconf.com/sim/ANNSIM21/

Authors of accepted papers are expected to attend the conference, present their work to their peers, transfer copyright, and pay a conference registration fee at the time their camera-ready paper is submitted. Conference proceedings may be submitted to the ACM and IEEE Digital Libraries, for archiving and indexed in DBLP Computer Science Bibliography and SCOPUS. Some exceptions apply.

General Technical Papers

Original, high-quality technical papers are solicited for review, possible presentation and subsequent publication in the conference proceedings. Papers are max 12 pages long with single column format (see author’s kit at https://scs.org/authorskit). Papers must not have appeared before (or be pending) in a journal or conference with published proceedings, nor may they be under review or submitted to another forum during ANNSIM’21 review process.

All submissions will be peer reviewed by a minimum of 3 reviewers and feedback will be provided. Authors of papers accepted for the ANNSIM’21 Conference are expected to attend the conference, present their work to their peers, transfer copyright, and pay a conference registration fee at the time their camera-ready paper is submitted.

Tutorials

Tutorial proposals should be two pages in length. Interested authors are invited to submit an accompanying optional paper: maximum of 12 pages long, with a minimum of five pages, with single column format.

Poster & Demos

Submissions for Posters and Demos consist of a 2-page extended abstract paper. All abstracts should describe the research motivation, M&S relevance of the problems being addressed, proposed methodology, and results of completed research. Demo abstracts should convey the development as well as screenshots of the simulation. The demo should not be a plug-and-play experience that conveys various simulation outcomes. Limited use of open-source tools and libraries can be incorporated; however, the use of commercial simulation tools is not allowed in the demo. Authors may also include a URL of a screencast video and additional external material in their submission. Abstracts should be submitted through the ANNSIM START System, as PDF files formatted using the templates provided on the ANNSIM webpage.

Accepted poster and demo abstracts will be published in the conference program but not in the conference proceedings.

For each accepted poster and demo, a video recording of the presentation will have to be submitted. The recording has to be less than 10 minutes. One of the authors must be present during the online Q&A sessions scheduled in the program. The poster presentation can consist of one or more landscape slides. The demo presentation can be supplemented with a ppt presentation.

Each presentation will be reviewed among the organizing committee for best poster and demo awards. The main evaluation criteria include the relevance and quality of the posters and demos in terms of originality, relevance to M&S, technical soundness, and presentation quality. A certificate will be awarded to: 1) Best Overall Demo; 2) Best Undergraduate Demo; and 3) Best Poster.

Important Dates for the Poster & Demo Submissions:

Abstract Submission Date: May 14th, 2021
Acceptance Notification: May 28th, 2021


All presented work will be available to conference attendees electronically.

Conference Registration Fees To Be Determined.

Registration & Pricing

REGISTER HERE

ANNSIM 2021 REGISTRATION FEES:

Category Regular Late (After July 1, 2021) Regular Late (After July 1, 2021)
Member Rate Member Rate Member Rate Non Member Rate Non Member Rate Non Member Rate
(For Online Presentation) (For Online Presentation) (In person) (For Online Presentation) (For Online Presentation) (In person)
Full Paper Registration Registration Fee Registration Fee Registration Fee Registration Fee Registration Fee Registration Fee
Regular $400 USD $500 USD $500 USD $485 USD $585 USD $585 USD
Student* $200 USD $300 USD $300 USD $230 USD $330 USD $330 USD
Retiree* $185 USD $185 USD $200 USD $215 USD $215 USD $230 USD
Invited Speaker & Committee Member* $185 USD $185 USD $200 USD $215 USD $215 USD $230 USD
Listener Registration Registration Fee Registration Fee Registration Fee Registration Fee Registration Fee Registration Fee
Regular* $150 USD $200 USD N/A $235 USD $285 USD N/A
Student* $120 USD $170 USD N/A $150 USD $200 USD N/A
Retiree* $20 USD $20 USD N/A $20 USD $20 USD N/A
Extras Registration Fee
Additional Paper(s)* $380 USD/paper
Additional Page(s)* $70 USD/page
Companion* $230 USD
Social Networking Event* $80 USD
Day/Onsite Registration Rate Registration Fee
Non Student* $300 USD
Student* $200 USD

*Manual Registration and Verification Forms:

Full Paper Manual Registration Form
Listener Registration Forms
Extras Manual Registration Form
Day/Onsite Registration Form
Student Verification Form
Retiree Verification Form
Visa Invitation Request Form

For students to receive the student discount and price, please turn in the Student Verification Form. All other registrations will require a filled manual registration form to be emailed to the SCS Office. All forms must be sent to scs@scs.org.

Notes*

  1. For participants with submissions, you must have a paid registration.
  2. If there is a Social Networking Event it will be optional.
  3. Complimentary Registration Only: General Chair, Vice-General Chair, Program Chair, Keynotes.
Full Paper Registration Includes Abstract Registration Includes Listener Registration Includes Companion Includes
1. Attending all technical sessions 1. Attending all technical sessions 1. Attending all technical sessions 1. Attending all technical sessions
2. Paper publication and presentation 2. Paper presentation 2. Program book, name badge, certificate, souvenirs 2. Coffee Breaks, Lunch, Reception
3. Conference proceedings (electronic copy) 3. Program book, name badge, certificate, souvenirs 3. Coffee Breaks, Lunch, Reception
4. Program book, name badge, certificate, souvenirs 4. Coffee Breaks, Lunch, Reception
5. Coffee Breaks, Lunch, Reception

Cancellation Policy

If the participants request cancellation and refund due to personal reasons, see refund policy:

* 60 days ahead of the conference: 70% of payment refund
* 30-60 days ahead of the conference: 50% of payment refund
* Within 30 days ahead of the conference: no refund
* If the conference cannot be held on time due to force majeure such as politics, weather and disasters, the organizer will not bear any compensation and will not refund the registration fee.

Cancellation and refund request must be made formally by email.

Organizer Statement

If the conference cannot be held on time due to force majeure such as politics, weather and disasters, the organizer reserves the right to postpone the conference dates or cancel the conference. Participants are obligated to cooperate with the organizer’s arrangements and refund policy.

Important Notification: As coronavirus is spreading, online/video presentation will be acceptable. Online presentation will be arranged accordingly. For your safety, please inform the conference secretary if you want to choose online/video presentation. Also, you can register with the “Special Rate” above.

Venue and Hotels

Venue Address

George Mason University
Fairfax Campus
4400 University Dr,
Fairfax, VA 22030
Website

Hotel Accommodations

     holidayinnexpress2011          comfortinn2     courtyard2018bw-1

Organizing Committee

General Chair: Xiaolin Hu, Georgia State University, USA
Vice-General Chair: Hamdi Kavak, George Mason University, USA
Program Chair: Mamadou Kaba Traore, University of Bordeaux, France​
Proceedings Chair: Cristina Ruiz Martin, Carleton University, Canada
Awards Chair: Fernando Barros, University of Coimbra, Portugal
Publicity Chair: Moharam Challenger, University of Antwerp, Belgium

Advisory Board

Andreas Tolk, The MITRE Corporation, USA (IEEE Senior Member & Fellow of SCS)
Gabriel Wainer, Carleton University, Canada (IEEE Senior Member & Fellow of SCS)
Bernard Zeigler, University of Arizona & RTSync Corporation, USA (Fellow of IEEE & Fellow of SCS)
Lin Zhang, Beihang University, China (IEEE Senior Member & Fellow of SCS)

Technical Program Committee

Ismail Abbas, UPC at Barcelona, Spain
Michael Affenzeller, University of Applied Science Upper Austria, Austria
Fatemeh Afghah, Northern Arizona University, United States
Carlos Agostinho, UNINOVA, Portugal
Aftab Ahmad, CUNY John Jay College of Criminal Justice, United States
Petra Ahrweiler, Johannes Gutenberg University, Germany
Khaldoon Al-Zoubi, Jordan University of Science and Technology, Jordan
Abdurrahman Alshareef, Arizona State University, United States
Ron Alterovitz, University of North Carolina at Chapel Hill, United States
Kadir Amasyali, Oak Ridge National Laboratory, United States
Philipp Andelfinger, University of Rostock, Germany
Taylor Anderson, George Mason University, United States
Mario Antonioletti, EPCC, The University of Edinburgh, United Kingdom
Marco Antoniotti, DICSo, Università degli Studi di Milano-Bicocca, Italy
Patricia Arroba, Universidad Politecnica de Madrid, Spain
Andreas Attenberger, FH Kufstein University of Applied Sciences, Austria
Eric Aubanel, University of New Brunswick, Canada
Michel Audette, Old Dominion University, United States
Arnaud Banos, CNRS, France
Souvik Barat, Tata Consultancy Services Research, India
Joana Barros, Birkbeck, University of London, United Kingdom
Stylianos Basagiannis, United Technologies Research Centre, Ireland
Francesco Bedini, Technische Universität Ilmenau, Germany
Martin Benedikt, VIRTUAL VEHICLE Research GmbH, Austria
Oliver Bertram, DLR, Germany
Eva Besada Portas, Universidad Complutense de Madrid, Spain
Paul-Antoine Bisgambiglia, CNRS – University of Corsica, France
Biswajit Biswal, South Carolina State University, United States
Maria Blas, Instituto de Desarrollo y Diseño INGAR (UTN-CONICET), Argentina
Dominique Blouin, Telecom ParisTech, France
Jeremy Blum, Pennsylvania State University, United States
Paolo Bocciarelli, University of Rome Tor Vergata, Italy
Brett Bode, University of Illinois, United States
Joseph Boi-Ukeme, Carleton University, Canada
George Bollas, Professor, United States
Joshua Booth, University of Alabama in Huntsville, United States
Frédéric Boulanger, Université Paris-Saclay, CentraleSupélec, France
Samira Briongos Herrero, Technical University of Madrid, Spain
Jan Broenink, University of Twente, Netherlands
Didier Buchs, University of Geneva, Switzerland
Bertrand Cambou, Northern Arizona University, United States
Bruno Carpentieri, Nottingham Trent University, United Kingdom
Rodrigo Castro, Universidad de Buenos Aires, Argentina
Deniz Cetinkaya, Bournemouth University, United Kingdom
Suryadip Chakraborty, Johnson C. Smith University, United States
Federico Ciccozzi, Mälardalen University, Sweden
Franco Domenico Cicirelli, ICAR-CNR, Italy
Jon Cline, MITRE, United States
Maximiliano Cristia, Universidad Nacional de Rosario, Argentina
Román Cárdenas, Universidad Politécnica de Madrid, Spain
Nicolas Daclin, IMT Mines Ales, France
Ranjita Dash, National Institute of Technology, Rourkela, India
Francesca De Crescenzio, University of Bologna, Italy
Robson De Grande, Brock University, Canada
Juan de Lara, Universidad Autonoma de Madrid, Spain
Paul De Meulenaere, University of Antwerp, Belgium
Kapil Dev, NVIDIA, United States
Marco Di Natale, Scuola Superiore S. Anna, Italy
Lorenzo Donatiello, University of Bologna, Italy
Raphael Duboz, CIRAD, France
Roger Dugan, EPRI, United States
Dominique Duncan, University of Southern California, United States
Ta Duong, Singapore Management University, Singapore
Gabriele D’Angelo, University of Bologna, Italy
Benjamin Earle, Carleton University, Canada
David Easterling, University of Dayton Research Institute, United States
Bruce Edmonds, Manchester Metropolitan University, United Kingdom
Norbert Eicker, Jülich Supercomputing Centre & University of Wuppertal, Germany
Stephan Eidenbenz, LANL, United States
Hala ElAarag, Stetson UNiversity, United States
Nahid Emad, University of Paris Saclay/Versailles, France
Ferhat Erata, Yale University, United States
Alberto Falcone, University of Calabria, Italy
Zipei Fan, University of Tokyo, Japan
Wolfgang Fenz, RISC Software GmbH, Austria
Paul Fishwick, University of Texas at Dallas, United States
Pau Fonseca, Universitat Politènica de Catalunya, Spain
Peter Foytik, ODU/VMASC, United States
Claudia Frydman, AMU, France
Jason Fuller, Pacific Northwest National Laboratory, United States
Jose Manuel Galan, Universidad de Burgos, Spain
Paulo Garcia, Carleton University, Canada
Alfredo Garro, University of Calabria, Italy Uttam Ghosh, Vanderbilt University, United States
Nigel Gilbert, University of Surrey, United Kingdom
Michael Giretzlehner, RISC Software GmbH, Austria
Rajni Goel, Howard University, United States
Rhys Goldstein, Autodesk Research, Canada
Jing Gong, KTH Royal Institute of Technology, Sweden
Brian Goode, MITRE, United States
Ross Gore, Old Dominion University, United States
Simon Gorecki, University of Bordeaux, France
Patrick Grim, Center for Study of Complex Systems, University of Michigan, United States
Feng Gu, College of Staten Island, United States
Karthik Gurunathan, PES Institute of Technology, India
Olaf Hagendorf, University of Applied Science Wismar, Germany
Wafa Hasanain, Carleton University, Canada
Kevin Henares, Complutense University of Madrid, Spain
Franz Holzinger, AVL List GmbH, Austria
Yilin Huang, TU Delft, Netherlands
Saurabh Hukerikar, Nvidia Corporation, United States
Shafagh Jafer, Embry-Riddle Aeronautical University, United States
Moath Jarrah, Jordan University of Science and Technology, Jordan
Jason Jaskolka, Carleton University, Canada
Zhihao Jiang, Shanghai Tech University, China
Hyunjee Jin, University of Pennsylvania, United States
Charles Kamhoua, US Army Research Laboratory, United States
Jeon-Young Kang, Kongju National University, Republic of Korea
Hoda Khalil, Carleton University, Canada
Eun-Kyeong Kim, University of Zurich, Switzerland
Kyoung-Sook Kim, AIST, Japan
Ernesto Kofman, Universidad Nacional de Rosario – CIFASIS-CONICET, Argentina
Martin Krammer, VIRTUAL VEHICLE Research Center, Austria
Yonglin Lei, National University of Defense Technology, China
Letitia Li, FAST Labs, BAE Systems, United States
Xueping Liang, Virginia State University, United States
Susan Lincke, University of Wisconsin-Parkside, United States
Yilu Liu, University of Tennessee and Oak Ridge National Laboratory, United States
Xiaobo Liu-Henke, Ostfalia University of Applied Sciences, Germany
Margaret Loper, GTRI, United States
Piotr Luszczek, Luszczek, United States
Imran Mahmood, National University of Sciences and Technology, Pakistan
Pedro Malagon, Universidad Politécnica de Madrid, Spain
Nick Malleson, University of Leeds, United Kingdom
Umar Manzoor, Tulane University, United States
Rebecca Margetts, University of Lincoln, United Kingdom
Gabriel Mateescu, ACM, United States
Steve McKeever, Uppsala University, Sweden
Bart Meyers, Universiteit Antwerpen, Belgium
Fabien Michel, LIRMM, Université de Montpellier, France
Mark Minas, Universität der Bundeswehr München, Germany
Saurabh Mittal, The MITRE Corporation, United States
Il-Chul Moon, KAIST, Republic of Korea
Rasha Morsi, Norfolk State University, United States
Alexandre Muzy, CNRS, France
Andreas Naderlinger, University of Salzburg, Austria
Luis Gustavo Nardin, National College of Ireland, Ireland
Mona Nasseri, University of California, Davis, United States
Eva Navarro, University of Wolverhampton, United Kingdom
Gabriela Nicolescu, Polytechnique Montréal, Canada
Bentley Oakes, University of Antwerp, Belgium
Dorcas Ofori-Boateng, Portland State University, United States
Halit Oguztuzun, Middle East Technical University, Turkey
Mohammed Olama, Oak Ridge National Laboratory, United States
Megan Olsen, Loyola University Maryland, United States
Yahya Osais, King Fahd University of Petroleum and Minerals, Saudi Arabia
Josué Pagán, Technical University of Madrid, Spain
Byungkwon Park, Oak Ridge National Laboratory, United States
Thorsten Pawletta, Wismar University of Applied Sciences, Germany
Shengrui Peng, Research Centre L3S, Germany
Liliana Perez, Associate Professor, Canada
Christian Perez, Inria, France
Javier Pernas, UMI Navantia-UDC, Spain
Tatjana Petrov, University of Konstanz, Germany
Dieter Pfoser, George Mason University, United States
Nathalie PINEDE, University of Bordeaux Montaigne, France
Bianica Pires, Virginia Tech, United States
Gary Polhill, The James Hutton Institute, United Kingdom
Lukas Polok, Apple, Inc., United States
Jalal Possik, York University, Canada
Herbert Praehofer, Johannes Kepler University Linz, Austria
Talal Qamar, Carleton University, Canada
Francesco Quaglia, DIAG – Sapienza Universita’ di Roma, Italy
Akshay Rajhans, MathWorks, United States
Dhananjai Rao, Miami University, United States
Thomas Rauber, University Bayreuth, Germany
Daniel Rippel, BIBA – Bremer Institut für Produktion und Logistik GmbH at the University of Bremen, Germany
Óscar Rodríguez Polo, Universidad de Alcala, Spain
Debraj Roy, University of Amsterdam, Netherlands
Yelena Rykalova, UMass Lowell, United States
Hessam Sarjoughian, Arizona State University, United States
Jin Seek Choi, Hanyang University, Republic of Korea
Ignacio Segovia-Dominguez, University of Texas at Dallas, United States
Moon Gi Seok, Nanyang Technological University, Singapore
Ashwin Shashidharan, Esri, United States
Li Shi, Snap Inc, United States
Hayk Shoukourian, Leibniz Supercomputing Centre, Germany
Sam Shue, UNCC, United States
Robert Siegfried, Aditerna GmbH, Germany
Marjan Sirjani, Mälardalen University, Sweden
Robert Smith?, The University of Ottawa, Canada
Houbing Song, Embry-Riddle Aeronautical University, United States
Masha Sosonkina, Old Dominion University, United States
Flaminio Squazzoni, University of Milan, Italy
Steve Stevenson, Clemson University, United States
Alan Stewart, Universitat Politècnica de Catalunya, United Kingdom
Ender StJohn-Olcayto, Simbus Ltd., United Kingdom
Mirko Stoffers, RWTH Aachen University, Germany
Ingo Stuermer, Germany
Carmen Paz Suarez-Araujo, Universidad de Las Palmas de Gran Canaria, Spain
Samarth Swarup, University of Virginia, United States
Eugene Syriani, University of Montreal, Canada
Patrick Taillandier, INRAE, France
Will Thacker, Winthrop University, United States
Jason Thompson, The University of Melbourne, Australia
Casper Thule, Aarhus University, Denmark
Ange Lionel Toba, Idaho National Laboratory, United States
Kevin Tomsovic, University of Tennessee, United States
Okan Topçu, METU NCC, Turkey
Vincent Traag, Leiden University, Centre for Science and Technology Studies, Netherlands
Enrico Tronci, Sapienza University of Rome, Italy
Petter Törnberg, University of Amsterdam, Netherlands
Alfonso Urquia, UNED, Spain
Bert Van Acker, University of Antwerp, Belgium
Koen H. Van Dam, Imperial College London, United Kingdom
Luigi Vanfretti, Rensselaer Polytechnic Institute, United States
Ken Vanherpen, University of Antwerp, Belgium
Yon Vanommeslaeghe, University of Antwerp, Belgium
Thomas Vogel, Humboldt Universität zu Berlin, Germany
Layne Watson, Virginia Polytechnic Institute & State University, United States
Wesley Wildman, Boston University, United States
David Wilson, Auckland University of Technology, New Zealand
Shun Yao, Google Inc., United States
Levent Yilmaz, Auburn University, United States
Shutang You, University of Tennessee, United States
Helia Zandi, Oak Ridge National Laboratory, United States
Cecilia Zanni-Merk, INSA Rouen Normandie, France
Bahram Zarrin, Technical University of Denmark, Denmark
Donglan Zhang, University of Georgia, United States
Juan Zhao, Vanderbilt University Medical Center, United States
Przemysław Śliwiński, Wrocław University of Science and Technology, Poland

In-cooperation with the following technical sponsors:

 ACM-In-Cooperation_medium
SIGSIM Logo

 

ieee tag blue

Questions? Call Phone: 858-277-3888 or Email scs@scs.org