Afroditi Letsiou

Afroditi Letsiou is a Doctoral student and Researcher at the Division of Information Science and Engineering, KTH Royal Institute of Technology, Stockholm. She serves as a teaching assistant for the course "Pattern Recognition and Machine Learning" (EQ2341) and is actively affiliated with the Department of Information Science and Engineering.

Her research spans Machine Learning, Pattern Recognition, and Edge Computing, with a focus on optimizing inference methods for resource-constrained edge devices through hierarchical batch processing techniques. This work addresses critical challenges in distributed computing environments where latency and computational efficiency are paramount.

Her recent publication at the 2024 IEEE/ACM Symposium on Edge Computing demonstrates her contribution to advancing edge AI systems, specifically through novel approaches for hierarchical inference that enhance real-time processing capabilities in distributed networks.