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Carlos Insaurralde

01642 34-
Job title:
Senior Lecturer in Control and Instrumentation Engineering
School of Science, Engineering & Design
Science, Engineering and Design research

About Carlos Insaurralde

Dr Carlos C. Insaurralde is a Senior Lecturer in Control and Instrumentation Engineering in the School of Science, Engineering and Design. He received the MEng degree in Electronic Engineering (recognition of Argentinean qualification as equivalent to the Spanish one) from the National University of Cordoba, Argentina, in 1999, the MAst and PhD degrees in Computer Engineering (Mention “Doctor Europaeus” accredited by the European University Association) from the Universidad Complutense de Madrid, Spain, in 2005 and 2007 respectively, and the MPhil degree in Electrical Engineering from Heriot-Watt University, UK in 2014. He received a PgCert in Learning and Teaching in Higher Education from Teesside University, UK in 2017. He was an Assistant Professor (Lecturer) at Heriot-Watt University, in 2014. He also was a Research Associate in the Institute of Sensors, Signals and Systems, Heriot-Watt University (2010 - 2013), and in the Software Systems Engineering Initiative, Loughborough University (2008 - 2010).  He also held post-doc positions in the Laboratory of Applied Research on Software-Intensive Technologies, Atomic Energy Commission (France, 2008), and the Institute of Production Engineering, Tampere University (Finland, 2006-2007).

Dr Insaurralde was involved in several EU-funded projects, MoD-funded projects, and an ANR–funded project (France) under the role of project manager, main researcher, and task leader. He has over twenty years of hands-on experience in networked software engineering for dependable embedded applications (including smart capabilities such as self-reconfiguration and self-adaptation). This includes over ten years of engineering research experience in intelligent and autonomous systems. He is author of over seventy international publications, including a book and four book chapters. He is also author of fifteen technical project reports. He received the Best Session Paper award from the Digital Avionics Systems Conference (DASC) in 2004, 2008, 2013, and 2014 as well as an award for significant contribution as section chair for the Navigation section at the DASC in 2016.

He is the module leader of five modules: four undergraduate modules and one postgraduate module. His teaching activities are currently related to the control engineering discipline, i.e. control theory and practice. This also includes supervision of final-year and master projects as well as PhD students. He also taught modules from the electronics engineering discipline (i.e. signal theory, analogue circuits) as well as software engineering and automation. He also examines internal and external PhD student dissertations. He is also an instructor for conference tutorials on intelligent control architecture for autonomous unmanned vehicles.

He works in collaboration with The Forge to support business activities between Teesside University and its partners for the development of new ideas, innovation of technologies, and establishment of networking initiatives.

Research interests

Dr Insaurralde’s research interests are system architectures, high integrity, quality metrics, and intelligent autonomy. They not only involve methodologies for analysis, design, realization, and evaluation of systems but also methods for development processes of systems. His study applies conventional computing and artificial intelligence to control engineering applications in robotics and autonomous systems (including distributed, embedded, time-critical, software-intensive approaches). It entails multidisciplinary development and assessment of engineering solutions (software and electronic hardware) for air, land, and water. His main concern is on approaches for situational awareness and assessment in decision-making processes, static and dynamic reconfiguration, engineering of functional and non-functional requirements, and performance measurement in application domains such as aerospace, defence, automobiles, and industrial automation.

The above research interests are underpinned by his investigation works in collaboration with other research institutions and the industry within European and National research frameworks. Model-based simulations, prototype-based experiments, and even real-scale rigs have made it possible to transfer knowledge and new technologies to the industrial sector for further implementations. His most relevant research duties and responsibilities in different projects are described below.

  • Next avionics generation for digital fluid management. He has developed a methodology to distribute the fuel control in aircraft in order to reduce the wiring required by classical fuel management systems (point-to-point connections between each fuel component and a central control computer). The wiring reduction simplifies the fuel control system which means fewer problems in connections, less cable weight, and an easier maintenance. Additionally, he has developed an algorithm to automatically generate the distributed control software so costs and risks of development can also be reduced, and software certification is facilitated. He has verified his approach in simulations based on lab prototypes. It has also been validated in a real-scale rig, and flight-tested in a helicopter. He has also demonstrated a modelling methodology for factory automation can be applied to model avionics control systems.

  • Framework for distributed development and integration of defence systems. He has developed a methodology for distributed development and integration of software-hardware systems to save significant time and costs during later integration stages. Modern manufacturing industries of complex system component developments are becoming increasingly fragmented over geographically distributed locations. Therefore, the ability to perform an initial stage of components integration whilst some components are still physically located at the supplier site is invaluable. He has also developed an algorithm based on a suitability-assessment criterion to know whether a system can support remote integration. He has verified his approach by means of remote integration of embedded software modules (at geographically dispersed locations) from mobile robots.

  • Robotic architecture for self-governed marine vehicles. He has developed an autonomous control architecture for collaborative marine robots. This approach reduces the operational costs and human risks due to hiring costly support vessels, and a team of dedicated and highly skilled pilots to drive manned or remotely operated marine vehicles.  This approach has been verified in lab simulations, and validated in real marine vehicles.

  • Dynamically-reconfigured factory automation. He has identified, defined and specified the service interfaces of mechatronic production components (autonomous building blocks to build a flexible and hierarchical control architecture for industrial manufacturing systems). This approach is to provide high configuration flexibility and reduce time to market as demanded by short-life-cycle products (e.g. mobile phones).

  • Safety and time critical middleware for integrated modular avionics. He has conducted a study to investigate potential middleware candidates for integrated modular avionics by identifying weakness and strengths as well as gaps in order to specify middleware requirements to reduce development costs due to the lack of a unified software platform.

  • Performance benchmarking framework and metrics for emergency and rescue robots. He has developed benchmarks, metrics, and scoring systems for a multi-domain EU robot competition, i.e. unmanned vehicles from three domains: ground, water, and air. He has also developed metrics for maritime autonomy (unmanned marine vehicles) that can easily be adapted to measure other autonomous systems.

Professional Membership

  • Fellow of the Higher Education Academy (FHEA).

  • Member of the Institute of Electrical and Electronics Engineering (IEEE) since 1995; S’95, M’99.

  • Member of the IEEE System Council.

  • Member of the IEEE Robotics and Automation Society.

  • Member of the IEEE Systems, Man, and Cybernetics Society

  • Member of the IEEE Computer Society Technical Community on Systems Engineering.

  • Member of the IEEE AESS Avionics Systems Technical Panel of the IEEE Aerospace and Electronic Systems Society.

  • Member of the Technical Committee on Distributed Intelligent Systems of the IEEE Systems, Man, and Cybernetics Society.

Enterprise interests

Dr Insaurralde is always keen to engage enterprise partners in conversation for collaborative projects. His areas of expertise enable him to play a key role to develop cutting-edge technologies in collaboration with partners from academic and industrial sectors. His principal enterprise interests are technologies for aerospace and defence as well as supporting solutions for the public service sector for emergency and rescue.

He has experience in working with standards for system development and expertise in documentation of the entire system development lifecycle. It includes requirements analysis, reverse engineering, multidisciplinary system development frameworks as well as cases and procedures for system evaluation.


Journal Papers

  1. C. C. Insaurralde.(2015). “Reconfigurable Computer Architectures for Dynamically-Adaptable Avionics Systems”. Special Issue on Avionics, IEEE Aerospace and Electronic Systems Magazine, vol. 30, no. 9, pp. 46 - 53, Sep 2015.

  2. C. C. Insaurralde,Y. R. Petillot. (2015). “Capability-Oriented Robot Architecture for Maritime Autonomy”. Special Issue on Advances in Autonomous Underwater Robotics, Robotics and Autonomous Systems Journal, Elsevier, vol. 67, pp. 87-104, May 2015.

  3. C. C. Insaurralde,D. M. Lane. (2014). “Metric Assessment of Autonomous Capabilities in Unmanned Maritime Vehicles". Journal on Engineering Applications of Artificial Intelligence, Elsevier, vol. 30, pp. 41-48, Apr 2014.

  4. F. J. Ortiz, C. C. Insaurralde, D. Alonso, F. Sanchez-Ledesma, Y. R. Petillot. (2014). “Model-Driven Analysis and Design for Software Development of Autonomous Underwater Vehicles”. Robotica,Cambridge University Press, Apr 2014.

  5. C. C. Insaurralde. (2013). “Autonomic Computing Technology for Autonomous Marine Vehicles”. Journal on Ocean Engineering, Elsevier, vol. 74, pp. 233-246, Dec 2013.

  6. C. C. Insaurralde, M. A. Seminario, J. F. Jimenez, J. M. Giron-Sierra. (2013). “Model-Driven System Development for Distributed Fuel Management in Avionics”. Journal of Aerospace Computing, Information, and Communication (1542-9423), AIAA, vol. 10, no. 2, pp. 71-86, Feb 2013.

  7. J. M. Giron-Sierra, C. Insaurralde, M. Seminario, J. F. Jimenez. (2008). “CANbus Based Distributed Fuel Management System with Smart Components”. IEEE Transactions on Aerospace and Electronics Systems, vol. 44, issue 3, pp. 897-912, Jul 2008.


  1. C. C. Insaurralde. (2015). "Intelligent Autonomy for Unmanned Maritime Vehicles – Robotic Control Architecture based on Service-Oriented Agents", Series on Studies in Systems, Decision and Control, vol. 29, Kacprzyk, Janusz (Series editor), ISBN 978-3-319-18777-8, Springer, May 2015.

Book Chapters

  1. C. C. Insaurralde, E. Blasch. (2018). “Ontologies in Aeronautics”, Chapter 6 in Advance in Aeronautical Informatics - Technologies towards Flight 4.0, U. Durak, J. Becker, S. Hartmann, N. S. Voros (Editors), Springer International Publishing, 2018.

  2. J. L. Martinez Lastra, C. Insaurralde, A. Colombo. (2009). "Agent-based Manufacturing Control for Desktop-Factories", Chapter 11 in Collaborative Design and Planning for Digital Manufacturing, L. Wang and J. Xi (Editors), pp. 265-291, ISBN 978-1-84882-286-3, Springer-Verlag, Mar 2009.

Conference Publications

  1. C. C. Insaurralde, E. Blasch. (2017). “Veracity Metrics for Ontological Decision-Making Support in Avionics Analytics”, in proceedings of the 36th Digital Avionics Systems Conference (DASC), St. Petersburg, FL, USA, Sep 2017.

  2. C. C. Insaurralde, V. Polishchuk. (2017). “Multi-Aviation Airspace Insights into Knowledge Technologies for Comprehensive Air Navigation”, in proceedings of the 36th Digital Avionics Systems Conference (DASC), St. Petersburg, FL, USA, Sep 2017.

  3. C. C. Insaurralde, Erik Blasch. (2016). "Ontological Knowledge Representation for Avionics Decision-Making Support", in proceedings of the 35th Digital Avionics Systems Conference (DASC), Sacramento, CA, USA, Sep 2016.

  4. C. C. Insaurralde, Y. R. Petillot. (2016). “Dependability in Autonomous Maritime Vehicles - Building Resilience into Service-Oriented Agent Robots”, in proceedings of the 10th IEEE International Systems Conference, Orlando, FL, USA, pp. 888-895, Apr 2016.

  5. C. C. Insaurralde.(2016). “Remote Integration of Time-Critical Aerospace Applications”, in proceedings of the 37th IEEE Aerospace Conference, Big Sky, MT, USA, Mar 2016.

  6. C. C. Insaurralde, T. Kaupisch. (2016). “Benchmarking Assessment for Technology Readiness in SpaceBot”, in proceedings of the 37th IEEE Aerospace Conference, Big Sky, MT, USA, Mar 2016.

  7. C. C. Insaurralde. (2015). “Physiologically-Inspired Self-Regulation for Factory Automation - Towards Artificial Homeostasis for Shopfloors”, in proceedings of the 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Luxembourg, Luxembourg, Sep 2015.

  8. C. C. Insaurralde. (2015). “Automatically Cross-Checked Design for Multidisciplinary Development of Avionics Systems”, in proceedings of the 34th Digital Avionics Systems Conference (DASC), Prague, Chez Republic, Sep 2015.

  9. M. Jakovljevic, C. C. Insaurralde, A. Ademaj. (2014). "Embedded Cloud Computing for Critical Systems", in proceedings of the 33rd Digital Avionics Systems Conference (DASC), Colorado Springs, CO, USA, Oct 2014.

  10. C. C. Insaurralde, T. I. Strasser. (2014). “Physiological Inspiration for Self-Management in Smart Grid Systems - Opportunities and Challenges”, in proceedings of the 27th IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA, USA, Oct 2014.

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