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  PhD student in Computer Engineering for Vision Transformer and AoI

   Department of Computer and Electrical Engineering

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  Assoc Prof Stefan Forsström  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

This research project seeks to innovate at the intersection of advanced vision transformer architectures and dynamic data processing. It aims to develop a versatile framework capable of adapting to various real-time applications, addressing the need for balanced support across different research branches and paving the way for breakthroughs in efficient data processing and analysis. Unlike existing works that focus on either improving the transformer architectures for specific domains or developing efficient and effective techniques for dynamic data processing, this research project aims to integrate these two aspects and develop a learning-based framework that can adapt to various real-time applications. The concept of Age of Information (AoI), which has gained significant attentions in networked systems, is incorporated to improve the timelessness of the information flow of the transformer architecture as well as to support real-time adaptive update architecture parameters, which combined address the challenges associated with the computational overhead of vision transformers in general.

In the project the doctoral student will be responsible for:

  • Developing and implementing a transformer-based framework that is adaptable for diverse real-time data processing needs.
  • Undertaking case studies with this framework to explore applications like light field video compression optimization and improving information freshness in dynamic learning environment.
  • Performing validation studies to evaluate the framework's effectiveness in practical settings, including addressing any ethical concerns.
  • Assessing the framework's potential to improve real-time data processing in both visual and non-visual contexts.

As a doctoral student you will conduct independent third-cycle studies and is expected to conduct both theoretical and experimental research work.

Computer Science (8) Engineering (12)

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 About the Project