Research

Generation & Augmentation

I am interested in the potential of computational generation for augmenting our creativity and problem-solving. To me this extends to the general ecosystem of generation including (a) modeling problems and finding the good matches between problems and generative techniques, (b) the many ways to search a generative space and when to use which, (c) interfaces for interacting with generators and their outputs, like mixed-initiative tools and interactive visualizations as an aid for navigating generative spaces. I have personally been involved with generative techniques in the context of fields like game design, architectural design, and digital art with a growing horizon for more.

Peer-Reviewed Publications

Generative AI and Co-Creativity:

Ahmed M. Abuzuraiq and Philippe Pasquier. 2024. Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models. Accepted to the 3rd Generative AI and HCI workshop, CHI'24, Hawaii, US.

Arshia Sobhan, Ahmed M. Abuzuraiq and Philippe Pasquier. 2024. Autolume 2.0: A GAN-based No-Coding Small Data and Model Crafting Visual Synthesizer. NeurIPS 2024 Workshop on Creativity & Generative AI.

Ahmed M. Abuzuraiq and Philippe Pasquier. 2024. Towards Personalizing Generative AI with Small Data for Co-Creation in the Visual Arts. Accepted to the 5th Workshop on Human-AI Co-Creation with Generative Models, IUI2024, South Carolina, US.

Design Analytics:

Visual Analytics + Computer-Aided Architectural Design

Ahmed M. Abuzuraiq and Halil Erhan. 2025. Designing with sense: A critical review and proposal for enhanced design space exploration in generative design. International Journal of Architectural Computing.

Ahmed M. Abuzuraiq, Esmaeil Mottaghi, Halil Erhan, Marcelo Bernal, Victor Okhoya, Spyridon Ampanavos, Cheney Chen and Yehia Madkour. 2024. A Designer-Friendly Approach for Performance-Based Design in the Early Design Phases: A User Study and System Proposal. Association for Computer Aided Design in Architecture (ACADIA).

Halil Erhan, Ahmed M. Abuzuraiq, Maryam Zarei, Osama Alsalman, Robert Woodbury and John Dill. 2020. What Do Design Data Say About Your Model? A Case Study on Reliability and Validity. Accepted to the 25th International Conference on Computer-Aided Architectural Design Research in Asia: Design in the Age of Humans, CAADRIA 2020. Thailand, Bangkok.

Ahmed M. Abuzuraiq and Halil Erhan. 2020. The Many Faces of Similarity: A Visual Analytics Approach for Design Space Simplification. Accepted to the 25th International Conference on Computer-Aided Architectural Design Research in Asia: Design in the Age of Humans, CAADRIA 2020. Thailand, Bangkok.

Halil Erhan, Maryam Zarei, Ahmed M. Abuzuraiq, Alyssa Haas, Osama Alsalman and Robert Woodbury. 2020. FlowUI: Combining Directly-Interactive Design Modeling with Design Analytics. Accepted to the 25th International Conference on Computer-Aided Architectural Design Research in Asia: Design in the Age of Humans, CAADRIA 2020. Thailand, Bangkok.

Procedural Content Generation (PCG) in Games

Ahmed M. Abuzuraiq, Arron Ferguson and Philippe Pasquier. 2019. Taksim: A Constrained Graph Partitioning Framework for Procedural Content Generation. IEEE Conference on Games (CoG) 2019. UK, London.

Ahmed M. Abuzuraiq. 2017. On Using Graph Partitioning with Isomorphism Constraint in Procedural Content Generation. In Proceedings of the 12th International Conference on the Foundations of Digital Games (FDG '17).

DesignSense applied to PCG

Ahmed M. Abuzuraiq, Osama Alsalman and Halil Erhan. 2020. Shopping for Game levels: A Visual Analytics Approach to Exploring Procedurally Generated Content. To appear in the proceedings of the 15th International Conference on the Foundations of Digital Games (FDG '20).