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Universities, R&D Groups and Academic Networks

SIMULTECH is a unique forum for universities, research groups and research projects to present their research and scientific results, be it by presenting a paper, hosting a tutorial or instructional course or demonstrating its research products in demo sessions, by contributing towards panels and discussions in the event's field of interest or by presenting their project, be it by setting up an exhibition booth, by being profiled in the event's web presence or printed materials or by suggesting keynote speakers or specific thematic sessions.

Special conditions are also available for Research Projects which wish to hold meetings at INSTICC events.

Current Academic Partners:

Universidad Rey Juan Carlos

Since 1996, the University has focused his teaching and interdisciplinary research to find solutions to current problems, and ranks among the best universities in Madrid for excellence academic programs and international scientific quality. Study URJC provides a learning environment and a life aimed at promoting the work and talent campus. In URJC you can develop your potential and have a comprehensive, international, professional and humanistic education. Located in Madrid, the facilities and infrastructure of the campuses of Aranjuez, Alcorcón, Fuenlabrada, Madrid and Móstoles encorauge the university life and an academic environment-oriented to research, innovation and learning.     
The URJC, a university where
- Develop a critical spirit
- Formed on academics and professional
- Enrich and grow personally and culturally


Physolator is an object oriented framework for physical simulations. It has been implemented by Prof. Dr. Dirk Eisenbiegler during the recent years. Physolator is Java based and supports an object oriented style for implementing physical simulations in a modular, reusable style. It has been designed for both professionals and educations.

Air Traffic Control Scenario Language (ASL): Towards a Common ATC Scenario Development

1. Introduction
This research targets to develop a scenario definition language for Air Traffic Control (ATC) training and simulation. Although the importance of scenarios in ATC training and simulation has long been well known, there still exists a lack of common understanding and standardized practices in scenario development. It is an extensive process beginning with the stakeholders’ descriptions of the scenario and finishing with the generation of the corresponding executable specifications. 
Simulation scenario can be defined as the specification of initial and terminal conditions, significant events and the environment as well as the major entities, their capabilities, behavior and interactions over time. The purpose of developing an ATC Scenario Language (ASL) is to implement a standard scenario specification that will lead to a common mechanism for specifying, verifying and executing ATC scenarios, effective sharing of scenarios among various simulation and training environments, improve the consistency among different training modules, and enable the reuse of scenario specifications. The primary user of the proposed ASL will be the FAA Academy, training facilities, and simulation technology providers for air traffic training divisions. 
2. Motivation
Given the current mission of the Federal Aviation Administration Center of Excellence on Technical Training and Human Performance (FAA COE TTHP) and the focus of the majority of the awarded tasks, ATC simulation and training scenarios are the key in conducting human performance studies and delivering simulation part task training. From a recent visit at the FAA Academy, it is well apparent that there is an immediate need for a diverse pool of ATC training scenarios. Currently, training scenarios are generated manually from a subject-matter-expert’s (i.e. controllers) oral or written briefing. This is known as the “operational scenario”, which is then verified and manually translated into the simulator’s language, providing an executable scenario script for the target simulator technology. The effort in extracting and verifying operational scenarios and translating them to a machine-understandable language is rather cumbersome and currently conducted completely manual. 
3. Objectives
By taking a formal approach in defining ATC scenarios, we propose developing a domain-specific language that allows a standard way of specifying ATC scenarios, providing a common scenario definition platform to allow automatic scenario specification, verification, reusability, and interoperability across various simulation/training environments. The proposed ATC Scenario Language (ASL) will also create a shareable database of simulation scenarios that can be freely used by ATC training community. More specifically, ASL will provide the following benefits:
• A common mechanism for specifying, verifying and executing ATC scenarios.
• The ability to create platform-independent ATC scenarios that can be shared between simulation environments and various training facilities.
• A way to improve scenario consistency among training providers.
• A suite of sharable and reusable scenarios offered as ATC scenario database.
• The ability to reuse ATC scenarios as scenario descriptions in many areas within aviation, e.g., technology and product development and integration (FAA NextGen program) or flight training, etc.
The results of this work will be used to develop a graphical modeling environment to specify scenarios and transformation scripts to automatically transform scenario models into executable scenario scripts. The research proposed here is the first stepping stone in formal scenario definition in ATC domain. The future goal of this research is to standardize ASL language to provide a common scenario definition methodology that can be adopted by any interested party in the aviation domain.