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Esports

How might we use esports data to create immersive audience experiences, help players and teams improve, and understand human performance? 


Project areas include:

  • Modelling team formation and metagame strategies in multiplayer games

iGGi >>> People <<< relevant to this Theme:

Sunny Thaicharoen

Sunny Thaicharoen

iGGi PG Researcher

Available for post-PhD position

Player Research, Game Data, Esports

Dr James Walker

Dr James Walker

Supervisor

Game AI, Game Data, Creative Computing, Esports

Dr Ozan Vardal

Dr Ozan Vardal

iGGi Alum

Design & Development, Game Data, Esports

Dr Poonam Yadav

Dr Poonam Yadav

Supervisor

Design & Development, Game Data, Esports

Prof. Alex Wade

Prof. Alex Wade

Supervisor

Player Research, Applied Games, Creative Computing, Game Data, Esports

Peter York

Peter York

iGGi Alum

Game AI, Esports

iGGi >>> Publications <<< relevant to this Theme:

Top-Rated LABS Abstracts 2021

S Pinkel, M Akten, RG Cepeda, H Choubassi, B Desouky, J Freeman, ...

Leonardo 55 (5), 497-502, 2022

Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search

M Tot, M Conserva, DP Liebana, S Devlin

2022 IEEE Conference on Games (CoG), 300-306, 2022

Multi-Modal Livestream Highlight Detection from Audio, Visual, and Language Data

C Ringer

University of York, 2022

Investigating the non-disruptive measurement of immersive player experience

MT Aung

University of York, 2022

On the Behavioural Profiling of Gamblers Using Cryptocurrency Transaction Data

OJ Scholten

University of York, 2022

Autohighlight: Highlight Detection in League of Legends Esports Broadcasts via Crowd-Sourced Data

C Ringer, M Nicolaou, JA Walker

Machine Learning with Applications, 2022

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The EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (iGGi) is a leading PhD research programme aimed at the Games and Creative Industries.

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