I am a direct Ph.D. student in the computer science program supervised by Dr. Lila Kari. I completed my undergraduate in computer engineering at Sharif University of Technology, where I worked on anomaly detection and unsupervised learning. Currently, I am interested in using machine learning models in bioinformatics. As part of the biodiversity research group, I am working on representation learning using the BOLD dataset.
Publications
- Arias, P. M., Sadjadi, N., Safari, M., Gong, Z., Wang, A. T., Lowe, S. C., Haurum, J. B., Zarubiieva, I., Steinke, D., Kari, L., Chang, A. X., & Taylor, G. W, "BarcodeBERT: Transformers for Biodiversity Analysis", 4th Workshop on Self-Supervised Learning: Theory and Practice (NeurIPS 2023).
- Salehi, M., Sadjadi, N., Baselizadeh, S., Rohban, M.H., & Rabiee, H.R, "Multiresolution Knowledge Distillation for Anomaly Detection", IEEE/CVF conference on computer vision and pattern recognition (CVPR 2021).
- Salehi, M., Eftekhar, A., Sadjadi, N., Rohban, M.H., & Rabiee, H.R, "Puzzle-AE: Novelty Detection in Images through Solving Puzzles", (arXiv 2019).
Awards
- Go-Bell Scholarship (Switched from David R. Cheriton Graduate Scholarship)
- Dr. Derick Wood Graduate Scholarship in Computer Science
- Provost Doctoral Entrance Award for Women
News
BIOSCAN: A global biosurveillance system may hold the answer to protecting life on the planet
