(10/2023 - present) Researcher at Telefónica, Barcelona, Spain.
(09/2024 - present) Adjunct Professor at Pompeu Fabra University (UPF), Barcelona, Spain.
(10/2022 - 10/2023) Postdoctoral Researcher at TU Delft, Netherlands.
(09/2018 - 05/2022) PhD Student & Teacher Assistant at EURECOM, Sophia Antipolis, France.
(12/2016 – 08/2018) Data Analyst & Quality Control Engineer at ARGANS, Sophia Antipolis, France.
(05/2016 – 11/2016) Research Trainee at INRIA & LucieLabs, Sophia Antipolis, France.
(10/2015 – 04/2016) Intern at INRIA, Sophia Antipolis, France.
10/02/2025: I was awarded the Marie Skłodowska-Curie Actions (MSCA) postdoctoral/individual fellowship for my project OPALS: OPtimization ALgorithms for Split learning. The fellowship will be hosted at Telefónica and will start very soon! More details to come!
Conferences:
✨NEW✨R. Ganian, F. Mc Inerney, D. Tsigkari. Makespan Minimization in Split Learning: From Theory to Practice. To appear in Proc. of IEEE International Conference on Computer Communications (INFOCOM 2026), 2026.
✨NEW✨J. Tirana, D. Tsigkari, D. Solans Noguero, N. Kourtellis. Data Heterogeneity and Forgotten Labels in Split Federated Learning. To appear in Proc. of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), 2026.
R. Ganian, F. Mc Inerney, and D. Tsigkari. Parameterized Complexity of Caching in Networks. In Proc. of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025), 2025.
J. Tirana, D. Tsigkari, G. Iosifidis, and D. Chatzopoulos. Workflow Optimization for Parallel Split Learning. In IEEE International Conference on Computer Communications (INFOCOM 2024), 2024.
D. Tsigkari, and T. Spyropoulos. Caching and Recommendation Decisions at Transcoding-Enabled Base Stations. In IEEE Global Communications Conference (GLOBECOM 2022), 2022.
D. Tsigkari, G. Iosifidis, and T. Spyropoulos. Split the Cash from Cache-friendly Recommendations. In IEEE Global Communications Conference (GLOBECOM 2022), 2021.
D. Tsigkari and T. Spyropoulos. User-centric Optimization of Caching and Recommendations in Edge Cache Networks. In IEEE International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM 2020), 2020.
G. Neglia, D. Carra, M. Feng, V. Janardhan, P. Michiardi, and D. Tsigkari. Access-time Aware Cache Algorithms. In IEEE International Teletraffic Congress (ITC 2016), 2016. 🏆Best paper award
P. Philippides, C. Bratsas, E. Chondrokostas, D. Tsigkari, and A. Veglis. Creating and Using Sports Linked Data: Analytics and Applications. In International Conference on Semantics - Posters & Demos (SEMANTiCS 2015), 2015.
Journals:
J. Tirana, D. Tsigkari, G. Iosifidis, and D. Chatzopoulos. Minimization of the Training Makespan in Hybrid Federated Split Learning. IEEE Transactions on Mobile Computing (TMC), 24(6): 5400-5417, 2025.
D. Tsigkari, G. Iosifidis, and T. Spyropoulos. Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations. IEEE Transactions on Mobile Computing (TMC), 23(2):1753-1768, 2024.
D. Tsigkari and T. Spyropoulos. An Approximation Algorithm for Joint Caching and Recommendations in Cache Networks. IEEE Transactions on Network and Service Management (TNSM), 19(2):1826–1841, 2022.
G. Neglia, D. Carra, M. Feng, V. Janardhan, P. Michiardi, and D. Tsigkari. Access-time Aware Cache Algorithms. ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2(4): 1-29, 2017.
Telefonica’s Principal Investigator (PI) in the EU Horizon Europe project TaRDIS
Contributor in 6G-RIEMANN and MAP-6G projects
firstname.lastname[at]telefonica.com