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Industrial Track

The Industrial Track is an excellent vehicle for companies to advertise and promote their innovative products and services, connect with other companies and researchers and engage in discussions about research and development initiatives. It is also a great platform for enabling the communication of researchers focusing on industry-oriented research with industry.

The Industrial Track to be held in Funchal, Madeira is focused on on Model-based Engineering (MBE) and its applications in various industrial domains such as tele-communication, maritime, automotive, and logistics. The Industrial Track would also like to address other important aspects of applying MBE in practice, including, but not limited to, MBE tools and tool chains, industrial practices, training, technology transfer, standardization, and open source vs. commercial.

This event is held in parallel with a set of related conferences, namely MODELSWARD, ICISSP, SENSORNETS and ICORES, attracting more than 1200 researchers from more than 60 countries in all continents, creating opportunities for knowledge and technology sharing, and facilitating future collaboration networks involving industrial project partners and interested conference delegates.

Furthermore, a parallel satellite event is being organized to attract European Projects and to stimulate discussions around the new European Framework for supporting R&D, Horizon 2020, which will include the participation of representatives from the European Commission.

The Industrial Track will include the following forms of participation:

  • Lease of a booth (2x2m with a table and chair) for distributing information or for demonstration purposes, which will be free of charge with the registration at the conference of at least one representative of the Company
  • Poster Display
  • Presentation/Demonstration of project results either orally or in other formats
  • Organization of a special session, workshop or a panel/round-table, focused on the company projects and topics of research
  • Tutorial
  • Company Presentation


Tao Yue
Simula Research Lab
Brief Bio
Tao Yue is a chief research scientist of Simula Research Laboratory, Oslo, Norway and she is also affiliated to University of Oslo. She has received the PhD degree in the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada in 2010. Before that, she was an aviation engineer and system engineer for seven years. She has nearly 20 years of experience of conducting industry-oriented research with a focus on Model-Based Engineering (MBE) in various application domains such as Avionics, Maritime and Energy, Communications, Automated Industry, and Healthcare in several countries including Canada, Norway, and China. Her present research area is software engineering, with specific interests in Requirements Engineering, MBE, Model-based Testing, Uncertainty-wise Testing, Uncertainty Modeling, Search-based Software Engineering, Empirical Software Engineering, and Product Line Engineering, with a particular focus on large-scale software systems such as Cyber-Physical Systems.


Model-Based Testing of Cyber-Physical Systems with Machine Learning and Search Algorithms

Shaukat Ali
Simula Research Laboratory

Brief Bio
Shaukat Ali is currently a senior research scientist at Simula Research Laboratory, Norway. His research focuses on devising novel methods for Verification and Validation (V&V) of large-scale highly connected software-based systems, e.g., Cyber-Physical Systems (CPSs). He has led several basic research, research-based innovation, and innovation projects in the capacity of PI/Co-PI related to Model-based Testing (MBT), Search-Based Software Engineering, and Model-Based System Engineering. He has rich experience of working in several countries including UK, Canada, Norway, and Pakistan. Shaukat has been on the program committees of several international conferences (e.g., MODELS, ICST, GECCO, SSBSE) and also served as a reviewer for several software engineering journals (e.g., TSE, IST, SOSYM, JSS, TEVC). He is actively involved in the organization of international workshops, conferences, and special issues of Journals. He is the general chair of SSBSE 2019 conference. He is also actively participating in defining international standards on software modeling in Object Management Group (OMG), notably a new standard on Uncertainty Modeling.

Testing of Cyber-Physical Systems (CPS) is manifesting unprecedented challenges due to the tremendous complexity and interdisciplinary nature of CPS. Thus, CPS testing must be driven by automated, scalable, optimised, and intelligent solutions. This keynote will focus on the key results from such CPS testing solutions that we developed in the last several years. These solutions rely on model-based testing, machine learning, and search algorithms. The results from the application of these testing solutions in industrial case studies and real-world systems will be presented together with the future research directions.


Model-Based Engineering at Cancer Registry of Norway: Challenges, Solutions and Automation
Jan Nygard, Cancer Registry of Norway, Norway


Shaukat Ali, Simula Research Laboratory, Norway
Deepak Dhungana, Siemens, Austria
Gerald Stieglbauer, AVL List, Austria
Aitor Urbieta, IK4-IKERLAN, Spain


Paper Submission: November 16, 2017 (expired)
Authors Notification: November 23, 2017 (expired)
Camera Ready and Registration: December 1, 2017 (expired)


After thorough reviewing by the Industrial Track advisory board, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar. SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).

All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


MODELSWARD Industrial Track Secretariat

e-mail: modelsward.secretariat@insticc.org