Arash Moradi Karkaj

Arash MORADI is a PhD candidate at the New Jersey Institute of Technology, specializing in the intersection of AI and digital video games. His research emphasizes PCG for game levels, adaptive player experiences, and narrative design. As he designs and experiments with various PCG systems, he is particularly interested in exploring the systems’ 'generalizability' and 'controllability,' as well as the applications of Generative AI models more broadly.

Thomas Volden

Thomas Volden is completing his PhD at the BrAIn Lab in the Center for Digital Play at the IT University of Copenhagen, supervised by Paolo Burelli. His research focusses on player experience from a learning-orientated perspective, examining how learning theories can inform the adaptive design of games to enhance player experience. A central focus of his work is on the role of confusion during gameplay and its potential beneficial effects on the overall player experience. His current interest in PCG concerns the generation of consumable uncertainty that may foster learning, inspired by theories of the predictive mind.

Bojan Endrovski

Bojan Endrovski is a PhD candidate at Delft University of Technology, under the supervision of Prof. Rafael Bidarra, researching procedural content generation with a focus on making procedural level generation accessible to traditional game and level designers. His research aims to empower designers to build their own procedural generators through intuitive, playful tools that encourage experimentation. He teaches game engine development at Breda University of Applied Sciences in the Netherlands. His current work explores model transformation techniques and mixed-initiative approaches to bridge the gap between complex PCG algorithms and practical design workflows.