Format: On Campus
Number of Students: 2-3
Duration of Project: 20–31 July 2026
Project Supervisor: Asst. Prof. Dr. İsmail Arı, Cloud Computing Research Group (CCRG)
Research Areas: Cloud-Edge computing, Distributed systems, ML/AI
Daily Supervisor: Dr. İsmail Arı, Alain Ndigande (CCRG), Cengiz Tezel (Openfab)
Project Description:
In this project, students will build a mini Raspberry Pi Cluster and run distributed Artificial Intelligence (AI) applications on it. They will learn the concept of federated learning with different vision, audio/video or sensor applications on this cluster. They will also design and implement racks that can hold different Pi versions to make the cluster portable, scalable and maintainable. These concepts are fundamental for understanding modern systems engineering.
About the Project:
Edge computing has become popular with the increase in mobile devices, autonomous cars, robots as well as high-speed 5G networks. Running Deep Neural Networks (DNN) and AI-based applications inside small edge devices (Raspberry Pis, Arduinos, etc.) has become a viable alternative to cloud computing as embedded computational power has increased. However, these devices still have resource constraints and face performance, energy, heterogeneity, and security challenges. In this project, students will learn about these challenges and propose novel solutions to address them.
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