#MeetTheCABLEGNOSIS Team Interview Series

Interview with Markos Asprou, Research Lecturer at KIOS Center of Excellence and the University of Cyprus (UCY)

We are excited to feature the second interview in our #MeetTheCABLEGNOSISTeam series—an initiative that brings you closer to the people behind the CABLEGNOSIS project. Today, we introduce Markos Asprou, a valued partner of CABLEGNOSIS and Research Lecturer at the KIOS Center of Excellence and the University of Cyprus (UCY). In this interview, he talks about his team’s role in CABLEGNOSIS, the challenges of monitoring high-power cables, and how the project’s innovations will support more reliable and efficient power grids.

“Keen to create innovative solutions in CABLEGNOSIS for enhancing reliability of HVAC cable systems” – Research Lecturer Markos Asprou

Can you introduce yourself and share a bit about your background?

I am a Research Lecturer at the KIOS Center of Excellence, with expertise in wide area monitoring and control of power systems using PMU measurements. My research fields includes, state estimation, line and cable parameter estimation, fault analysis.

What is KIOS and UCY’s role in the CABLEGNOSIS project?

The KIOS Center of Excellence is leading tasks related to measurement-based technologies for the health assessment of high-power cables, fault location technologies for high-power cable systems, and the validation, testing, and evaluation of results—particularly the validation testing in Cyprus. Our team also contributes to all major activities of the CABLEGNOSIS project.

Why is innovation in cable monitoring important for power grids?

Innovation in cable monitoring is essential because it promotes the uninterrupted supply of energy to end users, such as households, industries, and hospitals.

What are the biggest challenges you face in the project—and how are you addressing them?

The biggest challenges that we are facing in the project are the implementation of accurate algorithms for cable temperature monitoring and for fault identification and localization in cables. With the absence of real time measurements from the cables these tasks are challenging. In CABLEGNOSIS, synchronized measurement technology is used to address this challenge.

What are your expectations from the project? What kind of impact do you think CABLEGNOSIS will have on the energy ecosystem?

The outcomes of CABLEGNOSIS will certainly enhance the grid reliability and grid efficiency. With the application of digital solutions, like the ones that UCY will develop for cable temperature monitoring and fault localization the situational awareness of the power system operators will be enhanced considerably, leading to better grid management in case of unexpected disturbances.

Thank you, Markos, for being with us today!

You can find KIOS’ research work related to the CABLEGNOSIS project below:

  1. Asprou, A. Stavrou, and C. Panayiotou, “A Hybrid Approach for Enhancing Line Parameter Estimation in Power Systems”, IEEE ISGT 2024, Dubrovnik, Croatia, Oct. 2024
  2. Asprou, T. Avraamides, A. Stavrou, C. Panayiotou, “ Zero Sequence Line Parameter Estimation Using PMU Data Considering Uncertainty Factors”, IEEE PowerTech 2025, Kiel, Germany, Jul. 2025.