- study the state of the art on machine learning algorithms for network traffic analysis; - study the state of the art on complexity reduction of neural networks; - devise methods for speeding up the inference of ML algorithms; - study the viability of incremental training with continuous flows of network traffic; - implement algorithms in a platform for network traffic analysis; - evaluate the system in the proposed problems; - develop an MSc dissertation; - draft a scientific paper proposal.
Minimum profile required
- knowledge of applied machine learning (e.g. computer networks or robotics), proven by university academic curriculum or participation in research projects.
- knowledge on communication networks; - thesis, monograph, or other publications on applied machine learning - experience with machine learning algorithms, especially learning from data streams; - experience in research projects in the area of artificial intelligence.
Since 06 Apr 2022 to 20 Apr 2022
Cluster / Centre
Computer Science / Artificial Intelligence and Decision Support