Graduation Ceremony

Prizes are rewarded to students based on either their Academic Excellence or Project Specific work. The project prizes are awarded to the student, or students producing the best individual projects, as judged by a prize committee. 

Categories include:

  • Final year academic prizes 
  • Final year project prizes 
  • Non-final year academic prizes
  • Group project prizes
  • Distinguished projects
  • Industry-sponsored projects 

Undergraduate prize winners, distinguished projects and reports

Prizes are rewarded to students based on either their Academic Excellence or Project Specific work. The project prizes are awarded to the student, or students producing the best individual projects, as judged by a prize committee. Additional projects that are outstanding in terms of technical achievement and presentation are awarded "Distinguished" status. A description of each prize can be found below the prize's title and the award-winning student(s) will be named alongside their supervisor. In most cases, the relevant project reports can be downloaded electronically.

Undergraduate prize winners, distinguished projects and reports

Postgraduate prize winners, distinguished projects and reports

The project prizes are awarded to the student, or students producing the best individual projects, as judged by a prize committee. Additional projects that are outstanding in terms of technical achievement and presentation are awarded "Distinguished" status. The prize-winning and distinguished projects are listed below. In most cases, the reports can be downloaded electronically.

Postgraduate prize winners

Student project videos

DANCES by Anindita Ghosh

Detecting and ANalysing Fast-moving Contorted Poses

DANCES by Anindita Ghosh

Detecting and ANalysing Fast-moving Contorted Poses

Early Detection of Eating Disorders using Social Media

Early Detection of Eating Disorders by - Blanca Tebar

Early Detection of Eating Disorders using Social Media

Enhancing Robust Aggregation in Federated Learning

Enhancing Robust Aggregation by Samuel Trew

Enhancing Robust Aggregation in Federated Learning

More videos are available to watch on the Department of Computing's YouTube channel