AI for Automated Software Engineering

SEPE Lab is pioneering advancements in automated software engineering, focusing on two main areas: code comment inconsistency detection and commit message generation…  Read more

Industrial Machine Learning

In the SEPE lab, we focus on anomaly detection in the pipeline industry, explicitly targeting leak detection. Leaks in pipelines can lead to significant environmental damage, safety hazards, and economic losses. The diverse operating conditions and the risk of small leaks going undetected for long periods make detecting these leaks challenging… Read more

Sustainable Multimedia

Our objective is to research and implement methods to empower sustainable multimedia. This is done by developing state-of-the-art AI-based methods to dynamically predict and allocate resources required in various multimedia streaming scenarios based on the application and the necessary quality of service … Read more

Ultra High-Resolution Video Streaming and Transferring

We aim to devise a solution to reduce video traffic over the network, leading to lower server power consumption. Our approach involves a pipeline that degrades the video on the server intentionally and intelligently and then restores it on the client side, using less energy than current methods… Read more