MESM'2019 Themes

ARTS, HUMANITIES & SOCIAL SCIENCES

Simulation in Behavioral Sciences

Simulation in behavioral sciences encompasses the various disciplines and interactions among organisms in the natural world. It involves the systematic analysis and investigation of human and animal behaviour through the study of the past, controlled and naturalistic observation of the present, and disciplined scientific experimentation. Fields covered by simulation in behavioral science are psychology, cognitive science, psychobiology, neural networks, social cognition, social psychology, semantic networks, ethology, and social neuroscience.

Simulation in Business

This track covers business process engineering and simulation, Simulation in customer-oriented service processes, Decision support systems, Simulation in Finance and Risk Management, Simulation in workflow management, Process mapping and simulation, Simulation of production processes and equipment, Business Information Modeling Methods and Methodologies, UML and UP in Business Modelling, UML and UP for Enterprise Modeling. Management and Business simulation using PDSim, TreeAge Pro, StatFit, MyStrategy, Extend OR, Decision Pro, Decision Script, Crystal Ball, Analytica, AgenaRisk, @Risk, CBML, Cognos OlAP Datacubes in order to simulate a flexible system for setting up, tracking and communicating company performance against a set of management-defined Key Measurables within the Dashboard Module, Activity Based Intelligence.

Simulation in Communication

Modeling and simulation of analogue circuits; Modeling and simulation of digital circuits at switch and/or at logic level; Hardware accelerators for circuit-level simulation; Hardware accelerators for logic simulation; Distributed simulation of circuits, components, and systems; Modeling and simulation of computer systems; Fault simulation; Parallel and distributed systems; High-speed networks; Network simulation software; Computer and telecommunication systems; Telecommunication devices and systems; Intelligent telecommunication networks; ISDN; ATM communications, Re-design and re-evaluation of today's architectural principles, End-to-end virtualization of the network, Programmable network equipment such as routers, Mobile networking technologies, Alternatives to established technologies such as routing, Optical layer networking technologies, Self-management of networks, Media-aware transport services, Extremely heterogeneous edge networks, Machine-to-machine networking, Network Architectures

Simulation in Economics

Adaptive markets complex simulation based on cell biology, neuroeconomics and behavioural economics. Analytic Methods for Financial and Economic Protection. Macroeconomic models estimation and model development. Economic Analysis and Econometrics simulation using Stochastic General Equilibrium Model, State-space Methods, Bayesian estimation and Time Series analysis, Simulation and optimisation, Experimental design of simulation studies, Queuing networks and models, Embedded Heuristics in simulation and Rule-based optimization and simulation, Symbolic Regression Techniques, Financial Times Series Prediction, Weighted and Filtered Historical Simulation, Predictive Analytics in banking, Markets' Simulation, Blockchain Bitcoin simulation.

Simulation in Education

Highly skilled staff is an essential prerequisite for the safe and effective operation of industrial production systems. Simulation-based training plays an increasingly important role in qualification of plant personnel. In specific sectors such as aerospace or power stations, training simulators have already been successfully employed for many years. Latest developments in industrial information technology as well as the introduction of virtual product and process engineering provide a new technological basis for the cost-effective implementation of training simulators. Therefore, in near future the general spread of these technology in a variety of industrial sectors and applications is expected. Today's best practice, latest developments, and future concepts of simulation-based training in industry will be presented. This track covers; Simulation and e-learning, - Role Strategies) Management Games, Simulation with "man in the loop", Virtual Reality Systems, Realistic Presentation of Simulation, Results, Simulation for Training and Education, Web-based Simulation, Multi-site Group Simulation, Special Purpose Simulation Languages and Tools, Simulation Environments, Simulator Development Environments, Visual Modelling Tools, Multimedia, Visualization and Animation Tools, Interfaces for Coupling with External Tools, Data Models Visualization. Visualization algorithms and techniques, Volume visualization, Information visualization, Multiresolution methods, Modelling techniques and Interaction techniques and architectures

Simulation in Media

From simulation to simulacrum, simulation goes from the surface representation of an image over reality/hyper-reality to virtual reality. This track looks at the processes and methodology involved.

Simulation in Urban Studies

Urban simulations for supporting planning and analysis of urban development, incorporating the interactions between land use, transportation, the economy, and the environment. This track is aimed at Metropolitan Planning Organizations (MPOs), cities, counties, non-governmental organizations, researchers and students interested in exploring the effects of infrastructure and policy choices on community outcomes such as motorized and non-motorized accessibility, housing affordability, greenhouse gas emissions, and the protection of open space and environmentally sensitive habitats.

CLINICAL, PRE-CLINICAL, HEALTH & LIFE SCIENCES

Simulation in Bioinformatics

Cancer and Oncology research
Diabetes & Cardiovascular Disease research
Infectious Diseases
Computational Modeling of Normal and Abnormal Cortical Processing

Simulation in Medicine

Medical Education
Neurosciences
Nutrition and Health
Pharmacology
Anatomy & Morphology
Surgery

Simulation in Agriculture, Fisheries & Food

The main goal is to enhance the trans-disciplinarity and to facilitate contacts and dialogs between computer scientists and specialists of Environmental Sciences. Since 10 years the modelling process took benefits from recent (and less recent) techniques of computer science : Object-Oriented Languages, Discrete Event Simulation, Concepts of Agent and Actor, Fuzzy Logic, UML, model - GIS interface, Web-based simulation, environment management, predictive models of forest growth, fishing, climate and other biological processes. Papers dealing with ecological modelling (in a wider sense) are welcome in the areas of: Applications: Environment managing, Waste managing, Ecosystem dynamics (terrestrial and oceanographic ecology) Population dynamics (diseases & epidemics, changes in biodiversity, genome, predator-prey relationships, fishing...), Population behaviour, Individual behaviour, involving methodologies such as: Artificial Intelligence, Distributed Interactive Simulation, High-Performance Computing, Languages, Modelling Techniques, Simulation Methodologies & Tools, Synthetic Environment, Virtual Reality, Petri nets, DEVS and Bond Graphs. Modelling and simulation have an important role in structuring biological, medical and ecological systems. The intrinsic complexity and non-linearity of these types of systems need continuous and discrete simulation methodology, soft computing methodology in order to handle the different degrees of uncertainty, as well as virtual reality methodology describing the time and space dependent complexity. Marine biology simulation covers the simulation and modelling in Microbiology, Fisheries and Aquaculture, Environmental marine biology, Deep-sea ecology, Ichthyology, Marine mammology and Marine ethology.

Simulation in Biology

Topics are biological systems, medical systems and ecosystems with the domain specific topics such as molecular modelling, genetic algorithms in biosystems, fuzzy sets and neural nets in biosystems, physiology, cardiology, anesthesia, cancer, circulatory system, respiratory system, renal system, biomechanics, agricultural production, simulation of global change, ecotechnology and eco-engineering, GIS, population dynamics, etc Simulation of Patient Care,Quality of Service, Hospital Logistics, Simulation of Disease Proliferation, Virtual Reality in Surgical Procedures, Simulating Biological Phenomena and Organs, Simulation as a Tool for Diagnosis, Simulation of Emergency Procedures (Disaster Gaming), General Medical Simulations, Pharmacometric Modelling, Physiological Simulations -Biochemistry and Biotechnology -Biophysics -Ecology, Plant and Veterinary Sciences -Virology

Simulation in Climate Modelling and Water Science Modelling

Climate models use quantitative methods to simulate the interactions of the important drivers of climate, including atmosphere, oceans, land surface and ice. They are used for a variety of purposes from study of the dynamics of the climate system to projections of future climate. Models used are Box models, Zero-dimensional models, Radiative-convective models, Higher-dimension models, EMICs (Earth-system models of intermediate complexity) and GCMs (global climate models or general circulation models). Water Science modelling focuses on the ability to develop infrastructure and gives knowledge on hydrological and hydraulic processes and modelling tools for improved water management in coastal zones, river basins and agricultural areas.

ENGINEERING, INFORMATION TECHNOLOGY & PHYSICAL SCIENCES

Simulation in Mathematics & Statistics

Using simulation as a teaching method for mathematics and statistics learning. In statistics specifically, simulation is used as a way to model random events, such that simulated outcomes closely match real-world outcomes. By observing simulated outcomes, researchers gain insight on the real world.

Simulation in Operations Research & Management Science

Simulation techniques are widely applied in both manufacturing and service operations. Simulation techniques play an essential role to improve and optimize these systems from process to supply chain levels, which makes this a very open and interesting subject. By simulation is meant the technique of setting up a stochastic model of a real situation, and then performing sampling experiments upon the model. The feature which distinguishes a simulation from a mere sampling experiment in the classical sense is that of the stochastic model. This session calls for papers in all branches of industries (manufacturing, automotive, aerospace, healthcare, airports, etc. and the extended supply chains) to disseminate the information on the most recent and relevant research, theories and practices in Operations Research & Management Science. All submissions are subjected to rigorous review before an acceptance decision is made. The topics include; continues, hybrid and discrete methods in the areas of operations research and management science, process, quality and supply chain improvement using simulation methods, project planning and optimisation, manufacturing and service system management, Lean and Six Sigma frameworks using simulation, Design and systems analysis, use of simulation and integrated approaches in;

Operations Research
Production Planning and Control
Project Management
Quality Control and Management
Reliability and Maintenance Engineering
Safety, Security and Risk Management
Service Innovation and Management
Supply Chain Management
Systems Modeling and Simulation
Technology and Knowledge Management

Simulation in Computer & Information Science

Systems research, Operating systems, File System, Storage, data warehousing, in-memory computing.

Simulation in Software Engineering
Simulation in Information Security and Cybersecurity
Simulating Big Data
Hybrid Systems Modeling and Simulation
Multi-Formalism Modeling and Simulation

Simulation in Instrumentation & Control Systems

Process control simulation is used for the design, development, analysis, and optimization of technical processes such as: chemical plants, chemical processes, environmental systems, power stations, complex manufacturing operations, biological processes, and similar technical functions. Process simulation is therefore, a model-based representation of chemical, physical, biological, and other technical processes and unit operations in software.

Simulation in Physics, Robotics & Automation

Modelling, Identification and Control, Bio-mimetic Robotics and Humanoid Robots, Robot Navigation and Localization, Outdoor Robotics, Networked Robotics, Multi-Robot Systems and Parallel Robots, Telerobotics and Communication, UAV, Robot Swarms, Robot Design and Architecture, Telematics, Human Robot Interaction, Robot Vision and Sensing, Robot Data Processing, Medical Robotics and Healthcare (f.ex.INSEWING, RADHAR, BRACOG, HYFLAM projects), Manipulators. Robot control and behaviour: localization, navigation, planning, simulation, visualization and virtual reality modeling. Robots in Assembly Systems. Robots in Technical Production Planning and Logistics. Autonomous Robot Simulation.

Simulation in Industrial Engineering

The Modelling in Engineering Processes track focuses on the application of simulation in mechanical and structural engineering. Oscillations and Waves, Stability and Control, Computational Mechanics, Numerical Analysis, Mathematical Methods in Engineering Sciences, Optimization Advanced simulation of dynamic systems, Simulation-based design, Qualitative modelling and simulation in engineering, Fuzzy modelling and simulation, Evolutionary synthesis and evolutionary methods in design, Rapid prototyping, CASE systems in engineering design, Modal Logic systems in design, Simulation in support of system specification and design, Construction Engineering and Project Management.

Simulation in Aerospace Engineering

Low Cost Simulation Environments, Rapid Simulation Prototyping, Simulation Based Design, Simulation of Satellite Navigation, systems (space segment and terrestrial applications) simulation of satellite constellations, real-time hardware-in-the-loop nab-in-the-loop simulation, flight simulation, distributed interactive simulation and HLA standards, Graphical simulation (virtual environments and virtual reality) applied to aerospace. Modelling and Simulation standards, rationalisation efforts, repositories and reuse. Simulation in support of system specification and design, simulation in support of system assembly, integration and testing. Simulation in support of flight software validation, structural dynamics of Pylon Store Coupling, Flutter Prediction, volterra kernels to model nonlinear aero-elasticity.

Simulation in Biomedical Engineering

Health Care Management, Strategic Management & Resource Planning in Health Care, Operational Management in Health Care, Decision Support in Health Care, Disease Management and Emergency and Disaster Organization, Case Studies: Success Stories and Failures, Medical Informatics, Medical Instruments and Devices, Fluid Flow and Transport Processes in Biological Systems, Drug Delivery Systems.

Simulation in Chemistry & Chemical Engineering

Adsorption processes, Colloidal processes, Control and Optimization Methods in Chemical Engineering, Crystallization processes, Electrochemical processes,Ion Exchange, Membrane Seperation, Micro-fluidics in Chemical processes, Multiphase Reactors, Particle Technology, Polymerisation Reactions, Scale up in Chemical Processes and Fuel Cells. Simulation of Chemical Plants, Flow simulation, Plant control systems, network simulation, geological simulations, drilling simulations, oil transport simulations, mining simulations.

Simulation in Civil Engineering

Construction Technologies, Flooding and Erosion, Infrastructure Engineering, Measurement and Control of Building Performance, Solid Waste Management, Subsurface flow and transport and Water Supplies. Physical Vulnerability Assessment of Critical Structures using computer simulation.

Simulation in Earth & Environmental Engineering and Geology

This theme covers topics such as: Using Big Data to inform individual-based models of geographical systems, Hybrid modeling approaches (e.g. utilizing Spatial Interaction, Microsimulation, etc.), Participatory behavioural modeling and simulation, Translating Big Data into agent rules while handling scale and space issues, Improving and Validating, verifying and calibrating agent-based models (ABM) and CA Models with Big Data, Visualization of agent-based models (along with their outputs), Ways of representing behavior within models of geographical systems, Applications of geosimulation.

Simulation in Marine Engineering

Simulation in ship design, propulsion unit simulation, high speed design, water turbulence simulation, control of supercavitating underwater vehicles. Underwater detection systems simulation. Decision support Systems and maritime simulators. Furthermore this session will look at trends in marine safety and productivity through simulation training, maneuvering, channel designs and control system.

Simulation in Mechanical Engineering

In Mechanical Engineering, certain Mechanical systems in terms of governing mathematical equations are presented. And this for the following phases; concept, design, manufacturing and testing. Furthermore, in Simulation Engineering solving problems during those phases using computer simulations (Combination of Computer Algorithm and Numerical Method)is the goal.

Simulation in Nuclear Engineering

Simulators: Real-Time simulation methods, GUI, Advanced modelling tools, Trainees' performance evaluation, Simulator Projects Simulation Studies: Simulation during design, Safety and environmental hazard estimation, Production optimisation. Methodology: Real-time simulation and visualisation tools, Parallel and distributed simulation. Nuclear Fuel Cycle Simulations based on Monte Carlo techniques to simulate the behaviour of Non Destructive Assay (NDA) instruments used in nuclear safeguards.

Simulation in Energy & Fuels

Simulating Smart Infrastructures

Simulating Sustainability in Built Environment
Simulation in Materials Science

Simulation in Transportation & Logistics (Road, train, harbors, rivers, canals)

Factory and Logistics Planning, Logistics and Supply Chain Scheduling, Traffic, Port Simulation, Simulation in the aviation sector, Hospital Logistics.

GAME-ON ARABIA'2019 Themes

The conference will cover four core tracks and a number of peripheral tracks

Core Tracks

Game Development Methodology

Game Development Methodology, Game Design and Research Methods, Production Roles, Techniques and Process Management, Social and Technical Interactions in Art and Engineering, Participatory Media and Heterogeneous Development Approaches, Sociotechnical MOG Development, Communities and Sustainability, Business and Requirements Modeling for Game Projects, Software Architecture and Modeling in Games, Interaction Design and Usability in Game Contexts, Play Testing, Gameplay Experience Evaluation