Effat Farhana
I am a Postdoctoral Fellow at the Department of Computer Sciences at Vanderbilt University. I completed my Ph.D. under Dr. Collin F. Lynch at North Carolina State University and my B.S. from Bangladesh University of Engineering and Technology.
My research focuses on mining educational software (e.g., MOOCs, online learning platforms) to derive data-driven heuristics and designing interpretable machine learning algorithms. Towards interpretable machine learning, my research has focused on designing a cognitive theory-grounded system for personalized learning in education (EAAI 2022). Another work focused on designing a rule-mining classification algorithm--to find the right balance between interpretability and performance (GECCO 2017, GECCO 2018). Towards data-driven analytics, I focus on discovering insight by exploiting data from educational software, such as understanding students' interactions within the system and connecting those with their academic performance (ACM L@S 2020, EDM 2020).
I am also broadly interested in empirical software engineering research (ICSE 2020, EMSE 2020, ICSME 2019).
Awards and Honors
News
- ICML 2024 Conference . Invited to serve as a reviewer for the
- ICLR 2024 Conference . Invited to serve as a reviewer for the
- EMNLP 2023 . Reviewer for the
- AI in Education Track for EAAI/AAAI 2024 . Co-chair of
- NeurIPS 2023 . Invited to serve as a reviewer for the
- ICLR 2023 Tiny Papers . Reviewer for the
- EAAI@AAAI 2023 . Reviewer for the
- AIES 2022 . Reviewer for
- Predictive Student Modelling in an Online Reading Platform has been accepted to appear at EAAI 2022 at AAAI 2022. Paper on
- AIVAS lab, Vanderbilt University. Started as a Postdoctoral Research Fellow at
- Defended my PhD dissertation.