Publications

Evagoras Makridis, Themistoklis Charalambous, Christoforos N. Hadjicostis (2023). Harnessing HARQ Retransmissions for Fast Average Consensus over Unreliable Communication Channels. In IEEE Conference on Decision and Control (CDC).

Evagoras Makridis, Themistoklis Charalambous, Christoforos N. Hadjicostis (2023). Utilizing Feedback Channel Mechanisms for Reaching Average Consensus over Directed Network Topologies. In American Control Conference (ACC).

Loizos Hadjiloizou, Evagoras Makridis, Themistoklis Charalambous, Kyriakos Deliparaschos (2023). Maximum Correntropy Criterion Kalman Filter For Indoor Quadrotor Navigation Under Intermittent Measurements. In arXiv Preprint.

Evagoras Makridis, Themistoklis Charalambous, Christoforos N. Hadjicostis (2022). ARQ-based Average Consensus over Unreliable Directed Network Topologies. In arXiv Preprint.

Loizos Hadjiloizou, Kyriakos Deliparaschos, Evagoras Makridis, Themistoklis Charalambous (2022). Onboard Real-Time Multi-Sensor Pose Estimation for Indoor Quadrotor Navigation with Intermittent Communication. In IEEE Global Communications Conference (GLOBECOM).

Evagoras Makridis (2021). Reinforcement Learning for Link Adaptation in 5G-NR Networks. In MA thesis. KTH, School of Electrical Engineering and Computer Science (EECS).

PDF Cite Source Document DOI

Evagoras Makridis, Themistoklis Charalambous (2020). Towards Robust Onboard Control for Quadrotors via Ultra-Wideband-based Localization. In 16th International Wireless Communications and Mobile Computing (IWCMC).

Evagoras Makridis, Kyriakos M Deliparaschos, Evangelia Kalyvianaki, Argyrios Zolotas, Themistoklis Charalambous (2020). Robust Dynamic CPU Resource Provisioning in Virtualized Servers. In IEEE Transactions on Services Computing (TSC).

Evagoras Makridis, Kyriakos M Deliparaschos, Evangelia Kalyvianaki, Themistoklis Charalambous (2017). Dynamic CPU Resource Provisioning in Virtualized Servers using Maximum Correntropy Criterion Kalman Filters. In 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).