IEEE R8 Student Paper Contest Oral Finals 2025
The IEEE Region 8 Student Paper Contest (SPC) is a prestigious competition for technical papers authored by IEEE student members and graduate student members from Student Branches across IEEE Region 8 (Europe, Africa and Middle East). The contest aims to encourage and support undergraduate and master’s students in researching an engineering topic and preparing a technical paper for competition and potential publication.
R8 SPC has a long-standing tradition of excellence. This year, in its 58th edition, we received approximately 40 submissions, of which 34 were deemed valid. The first phase of the contest concluded in February 2025, with the selection of the top five papers advancing to the final oral presentation round.
The SPC 2025 international jury, composed of Prof. Gianfranco Chicco (Italy), Prof. Joao Carlos Ferreira (Portugal), Prof. Krzysztof Gorecki (Poland), and Prof. Vera Markovic (Serbia), anonymously selected five papers (listed below alphabetically by the authors’ first names). They will be presented during this special session at EUROCON 2025.
The top three winners will receive cash prizes of $800, $500, and $200 for first, second, and third place, respectively. Additionally, the Student Branch of the first-place winner will receive a $250 award.
TOP 5 PAPERS – SPC 2025 FINALISTS (alphabetically by authors’ first names)
- Achref Benammar, Institut national des sciences appliquées et de technologie – INSAT, Tunisia, “A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows”
- Arman Nikraftar Khiabani, Catholic University of Louvain, Belgium, “Deep Reinforcement Learning for the Expert-Advice Multi-Armed Bandit”
- Emilija Chona, Ss Cyril and Methodius University in Skopje, North Macedonia, “Transformer-Driven Dynamic Resource Reconfiguration in Cellular Networks”
- Klemen Berkovič, University of Maribor, Slovenia, “Cooperative Coevolution Framework with Recursive Differential Grouping Algorithms for Solving Large-Scale Optimization Problems”
- Zeyang Ai, Imperial College London, UK, “Interpretable Learning via Proximal Optimization”
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