"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) with a demonstrated history of working in the research industry. I work as IT Consultant currently involved in public sector ICT project management in the ICT department of Municipality of Ioannina, Greece.
Recently, I have been a member of Baseband Lab, Huawei Technologies, Sweden. Previously, I was a researcher at IQUADRAT Informatica S.L., 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).
Reconfigurable Intelligent Surfaces (RIS)
Multi-Access Edge Computing (MEC)
Edge Cloud Continuum
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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