1.Garcia, A., et al. (2018, April). Examining the Computing Identity of High-Achieving Underserved Computing Students on the Basis of Gender, Field, and Year in School. In The Collaborative Network for Engineering and Computing Diversity (CoNECD) Conference Proceedings,  ASEE. 
2.Taheri, M., et al. (2018, October). A Structural Equation Model Analysis of Computing Identity Sub-Constructs and Student Academic Persistence. In 2018 IEEE Frontiers in Education (FIE) Conference Proceedings  (pp. 1-7), IEEE
3.Taheri, M., et al. (2019, June). Exploring Computing Identity and Persistence Across Multiple Groups Using Structural Equation Modeling. In 2019 American Society for Engineering Education (ASEE) Conference Proceedings, ASEE.
4.Kargarmoakhar, M. et al. (2019, June).  Influences of Friends and Family on Women’s Pursuit of Computing; A Sequential Explanatory Design. Poster presented at the Science, Technology, Engineering, Arts, & Mathematics Education (STEM/STEAM Education) International Conference, Hawaii University.

5.Kargarmoakhar, M. et al. (2019, August). Computing Pathways: A quantitative inquiry into the dynamic pathways of students in computing with gender comparisons. Proceedings of ACM Conference.
Kargarmoakhar, M. et al. (2019, August).

6.Kargarmoakhar, M. et al. (Fall 2019). The effect of a designed computing community of practice on students’ computing identity.

7.Lunn, S., Ross, M., Hazari, Z., Weiss, M.A., Georgiopoulus, M., Christensen, K. (2019). How do Educational Experiences Predict Computing Identity? ACM Transactions in Computing.