Dr. Ahmad Slim

Postdoctoral Research Fellow
School of Arts & Sciences – Computer Science & Math

Dr. Slim received his B.E. and M.S degrees in Electrical and Computer Engineering from the Lebanese American University in 2008 and 2011, respectively. In 2016, he received his PhD degree in Computer Engineering from the University of New Mexico where he worked as a research assistant professor for three years after graduation. In 2020, Dr. Slim joined the Mechanical Engineering Education Research Center at Purdue University as a Postdoctoral Research Fellow. His main interests involve educational data mining, machine learning and curricular analytics. He published several papers on methodologies that support inferences in STEM education, student success and other educational practices that advance education outcomes.


  1. Slim, A., Heileman, G. L., Al-Doroubi, W., Abdallah, C. T. “The Impact of Course Enrollment Sequences on Student Success.” Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications. Crans-Montana, Switzerland: IEEE, 2016.
  2. Slim, A., Heileman, G. L., Kozlick, J., Abdallah, C. T. “Predicting Student Success Based on Prior Performance.” Proceedings of the 5th IEEE Symposium on Computational Intelligence and Data Mining. Orlando, FL: IEEE, 2014.
  3. Slim A., Hush, D., Ojha, T., Babbitt, T. “Predicting Student Enrollment Based on Student and College Characteristics. ” Proceedings of the 11th International Conference on Educational Data Mining, pp. 383-389, July 15 - 18, 2018, Buffalo, NY.