"Scientific discovery and scientific knowledge have been achieved only by those who have gone in pursuit of it without any practical purpose whatsoever in view. "
- Max Planck
My name is Eftychia Datsika and I am an experienced researcher in the field of Mobile Telecommunications (LinkedIn, Github, ResearchGate, Scholar). I work in Greek Public Sector as Computer Science specialist currently involved in IT project management in the ICT department of Municipality of Ioannina, Greece.
Previously, I was a member of Baseband Lab, Huawei Technologies, Sweden and worked as researcher at IQUADRAT Informatica S.L., Spain and Nearby Computing, Spain. My research interests lie in the areas of mobile and wireless network architecture design and performance optimization.
I hold a PhD degree (2018, UPC Best Doctoral thesis award in ICT, 2020) focused on QoS-oriented 5G network resource management from Signal Theory and Communications (TSC) Department, Technical University of Catalonia (UPC), Spain, an MSc degree (2012) with thesis focused on wireless sensor network cross-layer optimization and a BSc degree (2010) in Computer Science, University of Ioannina, Greece.
I have gained significant teaching experience working as an instructor of Informatics related courses in various public institutions in Greece. I also hold a Pedagogical Proficiency certificate (ASPETE, 2014).
Service orchestration in Edge Cloud Continuum
Reconfigurable Intelligent Surfaces (RIS)
Multi-Access Edge Computing (MEC)
End-to-end resource management for 5G and beyond 5G network deployments
Network slicing and virtualization with SDN/NFV
Fronthaul architectures and scheduling
D2D communication
Energy efficient network design
Baseband system design
Video quality enhancement
Wireless sensor network resource allocation
Machine learning
Multi-objective optimization
Game theory
Matching theory
System level simulators
E. Datsika, et al., SDN-Enabled Resource Management for Converged Fi-Wi 5G Fronthaul, IEEE Journal on Selected Areas in Communications (IF: 9.144), vol. 39, no. 9, pp. 2772-2788, Sept. 2021.
E. Datsika, et al., Matching Theory for Over-the-top Service Provision in 5G Networks, IEEE Transactions on Wireless Communications (IF: 4.951), vol. 17, no. 8, pp. 5452-5464, Aug. 2018.
E. Datsika, et al., Software Defined Network Service Chaining for OTT Service Providers in 5G Networks, IEEE Communications Magazine (IF: 9.270), vol. 55, no. 11, pp. 124-131, Nov. 2017.
E. Datsika, et al., Cross-Network Performance Analysis of Network Coding Aided Cooperative Outband D2D Communications, IEEE Transactions on Wireless Communications (IF: 5.888), vol. 16, no. 5, pp. 3176-3188, May 2017.
E. Datsika and N. D. Kallimanis, Deep Reinforcement Learning based Uplink Configuration in Multi-RIS assisted MEC network, IEEE WCNC 2025, 24-27 March, Milan, Italy.
E. Datsika, et al., End-to-End Delay Performance of Analog Fiber Wireless Architecture for 5G NR Fronthaul, 22nd International Conference on Transparent Optical Networks (ICTON), 2020 (invited).
E. Datsika, et al., QoS-aware resource management for converged Fiber Wireless 5G Fronthaul networks, IEEE Globecom, 9-13 December 2018, Abu Dhabi, UAE.
E. Datsika, et al., Green Resource Management for Over-The-Top Services in 5G Networks using Matching Theory, IEEE ICC, 20-24 May 2018, Kansas City, MO, USA.
1. UPC Best Doctoral Thesis Award in Information and Communication Technologies (UPC Premi Extraordinari de Doctorat TIC) - Academic Year: 2017-18
o IEEE VTC (VTC2022-Spring Recent Results and Workshops, VTC2025-Spring)
1. UPC Best Doctoral Thesis Award in Information and Communication Technologies (UPC Premi Extraordinari de Doctorat TIC) - Academic Year: 2017-18
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