Ali Baigelenov joined the SDU University (SDU) in Kazakhstan in 2024 as a senior lecturer in the Department of Engineering & Natural Sciences. He got his Masters and Bachelors degrees in Computer Graphics Technology from Purdue University, United States. Currently, he is pursuing his PhD (also from Purdue University). His research interests are in human-computer interaction, information visualization, cognition, design, and education.

PhD Candidate in Technology (2023). Purdue University, USA
MS in Computer Graphics Technology (2017). Purdue University, USA
BS in Computer Graphics Technology (2015). Purdue University, USA

INF 232 - Web programming: back end
CSS 206 - Database Management Systems 1
CSS 489 - Diploma preparation

Parsons, P. C., Shukla, P. C., Baigelenov, A., & Gray, C. M. (2023). Developing Framing Judgment Ability: Student Perceptions from a Graduate UX Design Program. In Proceedings of the 5th Annual Symposium on HCI Education (pp. 23-32). Parsons, P., Gray, C. M., Baigelenov, A., & Carr, I. (2020). Design judgment in data visualization practice. arXiv preprint arXiv:2009.02628. Parsons, P., Baigelenov, A., Hung, Y. H., & Schrank, C. (2020). What Design Methods do DataVis Practitioners Know and Use?. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-8). Parsons, P., Hung, Y. H., & Baigelenov, A. (2018). Toward an Analysis of Practitioner-Oriented Resources for Visualization Design. In IEEE VIS '18: Proceedings of the 2018 IEEE Conference on Information Visualization, Poster Abstracts, pp. 2 Baigelenov, A., & Parsons, P. (2018). Interactivity Factors in Visualization-Based Exploratory Search. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18). ACM, New York, NY, USA, Paper LBW009, 6 pages. DOI: https://doi.org/10.1145/3170427.3188558 (Acceptance rate: 39.8%) Saenz, M., Baigelenov, A., Hung, Y. H., & Parsons, P. (2017). Reexamining the cognitive utility of 3D visualizations using augmented reality holograms. In Workshop on Immersive Analytics: Exploring Future Interaction and Visualization Technologies for Data Analytics (Immersive 2017), pp. 5. Baigelenov, A., Saenz, M., Hung, Y. H., & Parsons, P. (2017). Toward an Understanding of Observational Advantages in Information Visualization. In IEEE VIS '17: Proceedings of the 2017 IEEE Conference on Information Visualization, Poster Abstracts, pp. 2.

Human-computer interaction, information visualization, cognition, design, education

BOLASHAK scholarship for Bachelors degree, Purdue University, USA, 2010
Sriver Award, Purdue University, August 2018
Daniel and Martina Lewis Graduate Award, August 2018