Nine exceptional undergraduate students are participating in the prestigious Undergraduate Research Opportunities Program (UROP) at the KIOS Research and Innovation Center of Excellence at the University of Cyprus, for the summer of 2025.
This is the 16th year that the UROP program has been running at the KIOS Center of Excellence. The program is extremely competitive, with a large number of applications being submitted every year by students from Cyprus and abroad.
The students participating in the Program this year are (in alphabetical order): Axel Dobloug, Orestes Hadjicostis, Evangelia Ioannou, Antrea Kokkinou, Dedalos Kypris, Lefkios Mavroudi, Eleftherios Samuel, Vasilis Skoufaridis, George Takoushis. Four of the selected students are currently studying at the University of Cyprus, while the other five are studying abroad (National Technical University of Athens (Greece), University of Cambridge and Imperial College London (UK), and Stanford University (USA).
The selected students will have the opportunity to work with the KIOS faculty and researchers on innovative research projects, which contribute to the advancement of knowledge in the field of Information and Communication Technology (ICT). The KIOS Center of Excellence undertakes research in several high-tech areas, with application for intelligent transportation systems, smart water networks, next generation telecommunication systems and networks, power systems – smart grids and integration of renewable energy sources, robotics – embedded and IoT hardware and software systems, as well as disaster management and health care/biomedical systems.
The UROP program at the KIOS Center of Excellence aims to promote excellence and encourage young talented students to engage in research and innovation, with the ultimate goal of upgrading the country’s competitiveness in education, innovation and entrepreneurship.
The student Athina Konstantinou from the University of Aberdeen (Scotland), who participated in a previous UROP Program commented: “The UROP experience was truly transformative. Academically, I gained an in-depth understanding of machine learning principles and their practical applications, especially in the context of autonomous vehicles. I learned how to manage and analyze large datasets, construct, and test machine learning models, and interpret results to inform improvements. On a professional level, I experienced the intricacies of research work – from concept ideation to experimentation, analysis, and finally presenting findings”.
