| 1 |
Allan Fowler, Michaela Dodd, Athirah Zaini, Xue Bai, Tian Mai, Foaad Khosmood, Game Development for Diverse Academic Backgrounds: Designing an Inclusive Pedagogy, Foundations of Digital Games, August 2026, Copenhagen, Denmark |
| 2 |
Isaac Rudnick, Nipun Das and Foaad Khosmood, Discourse Analysis of Legislative Bill Discussions, Applied AI Research Conference (AAIRC), August 2026, Las Vega, NV |
| 3 |
Sofija Dimitrijevic, Pallavi Das, Kasey Liu, Foaad Khosmood, Detection of Self-Introductions in Legislative Testimony, Applied AI Research Conference (AAIRC), August 2026, Las Vega, NV |
| 4 |
Venkata Chaturvedula, Foaad Khosmood, Franz Kurfess, Kim Bisheff, Predicting news coverage based on legislative information, Digital Humanities, July 2026, Daejeon, South Korea |
| 5 |
Sofija Dimitrijevic, Pallavi Das, Kasey Liu, Foaad Khosmood, Detection of Self-Introductions in Legislative Testimony, CSCSU, April 2026 |
| 6 |
Ruoyu Hu, Foaad Khosmood, Abbas Edalat, Improving Unsupervised Zero-Shot Intent Classification with Dynamic Candidate Selection, ok International Conference on Natural Language Processing and Information Retrieval, December 2025, Fukuoka, Japan |
| 7 |
Mary Kenneth and Foaad Khosmood, MultiHuSE: A Multimodal Dataset for Humour Styles and Emotions, International Conference on Content-Based Multimedia Indexing (IEEE CBMI), October 2025, Dublin, Ireland |
| 8 |
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat, Explaining Humour Style Classifications: An XAI Approach to Understanding Computational Humour Analysis, Journal of Data Mining & Digital Humanities, NLP4DH, April 2025, doi, JDMDH |
| 9 |
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat, Systematic Literature Review: Computational Approaches for Humour Style Classification, arXiv, January 2024, arXiv.org |
| 10 |
Greg Domber, Kelly Bodwin, Cameron Jones and Foaad Khosmood, Digital History for Luddites: Learning How to Collaborate on Digital History Projects with STEM Colleagues, panel presentation at the American Historical Association annual meeting, January 2024, San Francisco |
| 11 |
Emily Gavrilenko, Foaad Khosmood, Mahdi Rastad and Sadra Amiri Moghaddam, Improving Startup Success with Text Analysis, ICAIF 2023: ACM International Conference on AI in Finance, Workshop on NLP and Network Analysis, November 2023, New York, NY, arXiv |
| 12 |
April Grow and Foaad Khosmood, ChatGPT Game Jam: Unleashing the power of Large Language Models for Game Jams, International Conference on Game Jams, August 2023, Online, https://dl.acm.org/doi/10.1145/3610602.3610605 |
| 13 |
Michelle Perkonigg and Foaad Khosmood, Automatic Bill Recommendation for Statehouse Journalists, Electronic Government, August 2023,
Perkonigg_Electronic_Government_2023.pdf
, EGOV 2023 Proceedings |
| 14 |
Joshua Grace and Foaad Khosmood, Feature Engineering for US State Legislative Hearings: Stance, Affiliation, Engagement and Absentees, Digital Humanities 2023, July 2023, Graz, Austria, DH 2023 Paper, arXiv preprint version (2021), DH 2023 Proceedings |
| 15 |
Cameron Jones, Evan Witulski and Foaad Khosmood, African Californios: Uncovering the African past of Spanish and Mexican California using Data Science Methods, Digital Humanities 2023, July 2023, Graz, Austria,
DH 2023-Graphic Poster (1).pdf
, DH 2023 Papers on Zenodo |
| 16 |
Foaad Khosmood, Government Transparency at The State Level and the Challenge for Democracy, Rocky Mountain Council for Latin American Studies Conference, March 2023, Santa Fe, New Mexico, Conference Agenda, RMCLAS website |
| 17 |
Paul Anderson, Kelly Bodwin, Alex Dekhtyar, Hunter Glanz, Foaad Khosmood, Lubomir Stanchev, Dennis L. Sun and Jonathan Ventura, Discussing the History of Ideas in a Data Science Seminar, SIGCSE 2023, March 2023, Toronto, Canada |
| 18 |
Allan Fowler and Foaad Khosmood, Game Jams–History, Technology, and Organisation, Springer Nature, January 2023, Amazon.com, Springer |
| 19 |
Sean Mendonca and Foaad Khosmood, Toward Generating Dynamic Quest Narratives Using Player Behavior, AIIDE - Intelligent Narrative Technologies Workshop, October 2022, Pomona, California,
AIIDE_2022_Panoptyk_Mendonca.pdf
, AIIDE - INT 2022 |
| 20 |
Jay Ahn and Foaad Khosmood, Evaluation of Automatic Text Summarization using Synthetic Facts, arXiv, April 2022, arXiv.org |