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Ezzat Elokda

Ezzat Elokda
Ezzat Elokda
PhD Student
ETH Zurich
elokdae@ethz.ch
Curriculum Vitae
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.

Publications scientifiques

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
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
Doi.org Collection

Projets de recherche comme Chercheur

Titre
Chercheurs principaux

Dynamic population games for efficient autonomous mobility

Florian Dörfler, Emilio Frazzoli

Résumé

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

Florian Dörfler
Emilio Frazzoli
Ezzat Elokda
Florian Dörfler, Emilio Frazzoli, Ezzat Elokda, , Saverio Bolognani, , Andrea Censi
Dynamic population games for efficient autonomous mobility
Florian Dörfler, Emilio Frazzoli

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.

Florian Dörfler
Emilio Frazzoli
Ezzat Elokda
Florian Dörfler, Emilio Frazzoli, Ezzat Elokda, , Saverio Bolognani, , Andrea Censi
100
25d61593-91d6-4a68-b2c0-4b5078f9de13

Actualités & informations

circular economy
25 Septembre 2023
Just Good CARMA : Comment nous favorisons une mobilité équitable et efficace
Researcher blogs
karma
carma
mobility
Les solutions courantes de réduction du trafic routier ont un problème : elles sont intrinsèquement injustes. Le fait de faire payer l'accès déplace la charge de la congestion vers ceux qui sont moins en mesure de la payer. Nos chercheurs ont peut-être trouvé un moyen de contourner ce problème.