Evagoras Makridis

Evagoras Makridis

PhD Student in Distributed Decision and Control of Networked Systems

University of Cyprus

Biography

I received my B.Sc. degree in Electrical Engineering from Cyprus University of Technology in June 2017, and my M.Sc. degree in Autonomous Systems from KTH Royal Institute of Technology and Aalto University holding an excellence scholarship from EIT Digital Master School. During my postgraduate (M.Sc.) studies, I worked as a Research Assistant at Aalto University and Research Engineer Fellow at KTH Royal Institute of Technology. Towards the end of my postgraduate studies, I joined Ericsson AB to pursue my M.Sc. thesis entitled “Reinforcement Learning for Radio Resource Management in 5G-NR Networks”. I am currently a doctoral (Ph.D) student working on distributed optimization for decision and control of networked systems, at the Department of Electrical and Computer Engineering (ECE) at the University of Cyprus, under the supervision of Prof. Themistoklis Charalambous.

My research interests focus on distributed optimization for decision and control of networked systems, with applications in quadrotor navigation, resource management, and wireless link adaptation and scheduling.

Ask for a copy of my resumé.

Interests
  • Distributed Optimization
  • Multi-Agent Systems
  • Autonomous Systems
  • Reinforcement Learning
Education
  • PhD in Electrical Engineering, 2021~

    University of Cyprus

  • MSc in Autonomous Systems, 2019-2020

    KTH Royal Institute of Technology

  • MSc in Autonomous Systems, 2018-2019

    Aalto University

  • BSc in Electrical Engineering, 2013-2017

    Cyprus University of Technology

Latest News

Accepted Journal Paper
Our journal paper with title: ‘A Fully Distributed LTI Estimation Scheme Over Directed Graph Topologies’, has been accepted for publication at the IEEE Control Systems Letters
Accepted Journal Paper
Our journal paper with title: ‘Distributed Estimation and Control for LTI systems under Finite-Time Agreement’, has been accepted for publication at the IEEE Transactions on Automatic Control
Accepted Conference Paper
Our paper with title: ‘A Linear Push-Pull Average Consensus Algorithm for Delay-Prone Networks’, has been accepted for publication and presentation at the ECC 2024 Conference
Accepted Conference Paper
Our paper with title: ‘Distributed Optimization with Gradient Tracking over Heterogeneous Delay-Prone Directed Networks’, has been accepted for publication and presentation at the ECC 2024 Conference
Accepted Conference Paper
Our paper with title: Harnessing HARQ Retransmissions for Fast Average Consensus over Unreliable Communication Channels, has been accepted for publication and presentation at the CDC 2023 Conference
Accepted Conference Paper
Our paper with title: Maximum Correntropy Criterion Kalman Filter for Indoor Quadrotor Navigation under Intermittent Measurements, has been accepted for publication and presentation at the MED 2023 Conference
Accepted Conference Paper
Our paper with title: Utilizing Feedback Channel Mechanisms for Reaching Average Consensus over Directed Network Topologies, has been accepted for publication and presentation at the IEEE ACC 2023 Conference
Accepted Conference Paper
Our paper with title: Onboard Real-Time Multi-Sensor Pose Estimation for Indoor Quadrotor Navigation with Intermittent Communication, has been accepted for publication and presentation at the IEEE GLOBECOM 2022 Conference
The A.G. Leventis Foundation PhD Scholarship
Awarded a PhD scholarship from the A.G. Leventis Foundation
UCY PhD Scholarship
Awarded a PhD scholarship from the Department of Electrical and Computer Engineering

Recent Publications

Discover more publications.

Harnessing HARQ Retransmissions for Fast Average Consensus over Unreliable Communication Channels
Maximum Correntropy Criterion Kalman Filter For Indoor Quadrotor Navigation Under Intermittent Measurements
ARQ-based Average Consensus over Unreliable Directed Network Topologies
Onboard Real-Time Multi-Sensor Pose Estimation for Indoor Quadrotor Navigation with Intermittent Communication
Robust Dynamic CPU Resource Provisioning in Virtualized Servers
Dynamic CPU Resource Provisioning in Virtualized Servers using Maximum Correntropy Criterion Kalman Filters

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