Ezzat Elokda

Ezzat Elokda

PhD Student

ETH Zurich

Automation breathes life into machines. It is awe-inspiring to watch a machine behave as you envisioned. The machine becomes your baby.

Since October 2020, I am a PhD student in a collaborative effort with the Automatic Control Lab and the Institute for Dynamic Systems and Control at ETH Zürich. I am working on the design of decentralized and efficient resource sharing schemes for autonomous mobility, as part of the National Centre of Competence in Research (NCCR) Automation. I received the B.A Sc. in Mechatronics Engineering at the University of Waterloo in June 2014, and the M.Sc. in Robotics, Systems & Control at ETH Zürich in May 2020. From 2014-2018, I held control engineering positions at process automation and lifting equipment companies.

Scientific Publications

Published

A Self-Contained Karma Economy for the Dynamic Allocation of Common Resources

Dynamic Games and Applications

Ezzat Elokda, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli

2023

Collection

Published

A Dynamic Population Model of Strategic Interaction and Migration under Epidemic Risk

2021 60th IEEE Conference on Decision and Control (CDC)

Pages 2085-2091

Ezzat Elokda, Saverio Bolognani, Ashish Hota

2022

Doi.org Collection

Research projects as Researcher

Title

Principal Investigators

Dynamic population games for efficient autonomous mobility

Florian Dörfler, Emilio Frazzoli

Summary

We will demonstrate that multiple competitive agents can efficiently share a mobility infrastructure without the need for an external coordinator. Standard game-theoretic approaches to this problem fall short in case of dynamic systems as encountered in autonomous mobility, coordinated use of the mobility space, traffic congestion control, etc. We will develop a new mathematical formalism and computational methods blending the concept of game-theoretic and dynamic equilibria. Autonomous mobility is an important application due to the importance of fairness and efficiency in resource use, the large number of interacting agents, and the need for automated and scalable solutions.

People involved