Master Thesis

Mohammad Shaker. Novel Approaches for Real-time Assessment and Automatic Generation of Game Content. UJF, Grenoble, France, 2015. Related Games on Android: TheX, Flopp, PaperSki and SyncSeven.

Peer-review Journal Papers

2017

Mohammad Shaker, Mehdi Zonjy, Mhd Hasan Sarhan, Ismaeel Abuabdallah and Noor Shaker. Personalizing Content Generation in First Person Shooter Games through Player Modeling. To appear.

Peer-review Conference Papers

2015

1. Noor Shaker, Mohammad Shaker and Mohamed Abou-Zleikha. Towards Game-Independent Models of Player Experience, in Proceedings of Artificial Intelligence and Interactive Digital Entertainment (AIIDE 15), 2015.
2. Noor Shaker, Mohamed Abou-Zleikha and Mohammad Shaker. Active Learning for Player Modeling, in Proceedings of the 10th International Conference on Foundations of Digital Games, 2015.
3. Mohammad Shaker, Noor Shaker, Julian Togelius and Mohamed Abou-Zleikha. A Progressive Approach to Content Generation, in Proceedings of EvoGames: Applications of Evolutionary Computation, Lecture Notes on Computer Science, 2015. Nominated for best paper award.
4. Mohammad Shaker, Noor Shaker, Mohamed Abou-Zleikha and Julian Togelius. A Projection-Based Approach for Real-time Assessment and Playability Check for Physics-Based Games, in Proceedings of EvoGames: Applications of Evolutionary Computation, Lecture Notes on Computer Science, 2015. Nominated for best paper award.
5. Walaa Baghdadi, Fawzya Shams Eddin, Rawan Al-Omari, Zeina Alhalawani, Mohammad Shaker and Noor Shaker. A Procedural Method for Automatic Level Generation in Spelunky, in Proceedings of EvoGames: Applications of Evolutionary Computation, Lecture Notes on Computer Science, 2015. Nominated for best paper award.

2014

Noor Shaker and Mohammad Shaker. Towards Understanding the Nonverbal Signatures of Engagement in Super Mario Bros, in Proceedings of the 2014 Conference on User Modeling, Adaptation and Persolization (UMAP 2014), 2014.

2013

1. Mohammad Shaker, Noor Shaker and Julian Togelius. Evolving Playable Content for Cut the Rope through a Simulation-Based Approach, in Proceedings of Artificial Intelligence and Interactive Digital Entertainment (AIIDE 13), 2013. Poster here.
2. Mohammad Shaker, Noor Shaker and Julian Togelius. Ropossum: An Authoring Tool for Designing, Optimizing and Solving Cut the Rope Levels, in Proceedings of Artificial Intelligence and Interactive Digital Entertainment (AIIDE 13), 2013.
3. Mohammad Shaker, Mhd Hasan Sarhan, Ola Al Naameh, Noor Shaker and Julian Togelius. Automatic Generation and Analysis of Physics-Based Puzzle Games, in Proceedings of the 2013 IEEE Conference on Computational Intelligence and Games (CIG 2013), 2013. Nominated for best paper award.
4. Noor Shaker, Mohammad Shaker, Ismaeel Abuabdallah, Mehdi Zonjy, and Mhd Hasan Sarhan. A Quantitative Approach for Modeling and Personalizing Player Experience in First-Person Shooter Games, in the Extended Proceedings of the 2013 Conference on User Modeling, Adaptation and Persolization (UMAP 2013), 2013. Poster here.