I am passionate about teaching, mentoring students, and promoting practical, skill-based learning.
About Faculty
Ayushi Pillay
| Employee ID | 10421 |
| Date of Joining | 08-12-2025 |
| Nature of Association | Contractual |
| Department | Computer Science and Engineering |
| Designation | Assistant Professor |
| Educational Qualification | MTech. (Data Science), BTech. (Computer Science & Engineering) |
| ayushipillay15@gmail.com | |
| Contact Number |
Areas of Interest
Machine Learning, Python Programming, R Programming, Software Engineering, and Software Testing.
Publications
Pillay, Ayushi, et al. "Ml-based feature selection technique for imbalanced data streams." 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). IEEE, 2023.
“ Machine learning framework with novel hybrid feature selection for imbalance datastream”, Page No. - 47-61, DOI:16.10089.IR.2022.V12I4.28531.4396
International Conference
Pillay, Ayushi, et al. "A comparison of feature selection approaches for liver disease data." 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON). IEEE, 2023.
Other Info.
Other Responsibilities:
Felowship/Awards/Other recognitions:
Awarded an Elite Certificate in NPTEL Course – “Data Analytics with Python. (Jan-Apr 2025)