Eleni Stai

Eleni Stai is an Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering. She holds advanced degrees in Electrical Engineering, Mathematics, and Applied Mathematical Sciences from NTUA and the National and Kapodistrian University of Athens.

Her academic credentials include:

• Diploma in Electrical and Computer Engineering, NTUA (2009)
• B.Sc. in Mathematics, National and Kapodistrian University of Athens (2013)
• M.Sc. in Applied Mathematical Sciences, NTUA (2014)
• Ph.D. in Electrical Engineering, NTUA (2015)

Dr. Stai's research integrates advanced optimization techniques with communications networks and energy systems. She develops stochastic and deterministic optimization frameworks for network resource allocation, data analytics on complex topologies, and smart-grid control applications. Her work bridges theoretical foundations with practical implementations in energy-harvesting networks, network slicing, and reinforcement learning for distributed systems.

Analysis of her recent publications reveals dominant research thrusts in AI-driven network management (particularly O-RAN and network slicing), energy-integrated communications, and optimization of energy communities. A significant portion of her work addresses the convergence of 5G/6G networking with power systems, emphasizing real-time control and sustainability.

Her scientific contributions have been recognized through prestigious awards:

• Chorafas Foundation Best Ph.D. Thesis award
• Thomaidis Foundation Best M.Sc. Thesis award
• Best Paper Award at ICT 2016
• Best Presenter Award at IEEE ENERGYCON 2022

Dr. Stai serves on technical program committees for major international conferences and has co-authored the book "Evolutionary Dynamics of Complex Communications Networks". She teaches undergraduate courses in Queuing Systems, Computer Networks, and Social Network Analysis, reflecting her expertise in network theory and applications. Her research trajectory demonstrates continuous evolution from fundamental network optimization to AI-enhanced solutions for next-generation communication-energy systems.

Her work builds upon her postdoctoral experience at EPFL (2016-2020) and ETH Zurich (2020-2023), where she developed advanced frameworks for communications networks and energy systems.