Farnoosh Koleini
Hey there, welcome to my homepage!! I am a PhD student in Computer Science at UNC Charlotte. I am exploring how AI techniques can revolutionize robotics and computer vision by enabling the monitoring of human movement disorders without the need for motion capture laboratories (MoCap).
I received my double Masters’s degrees in computer science and chemistry from East Carolina University University. During my time at ECU, I had the pleasure of working with Dr. Paul Gemperline and Dr. Nasseh Tabrizi on research focusing on AI, machine learning techniques, and tensor decomposition methods to identify genes significantly associated with colon cancer susceptibility. In my free time, I enjoy hiking, tennis, photography, and spending time with my family and friends.
Research Interests
AI4Health, Computer Vision, CompBio
Selected Publications
Koleini, F., Saleem, M. U., Wang, P., Xue, H., Helmy, A., & Fenwick, A. (2025). BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videos. arXiv preprint:2501.07800.
Koleini, F., Gemperline, P. and Tabrizi, N. (2023, May). Biomarker discovery in multi-omics datasets using tensor decompositions; A comprehensive review. In Proceedings of International Conference on Bioinformatics and Computational Biology (Vol. 92, pp. 11-24).
Koleini, F., Hugelier, S., Lakeh, M.A., Abdollahi, H., Camacho, J. and Gemperline, P.J. (2023). On the complementary nature of ANOVA simultaneous component analysis (ASCA+) and Tucker3 tensor decompositions on designed multi-way datasets. Journal of Chemometrics, 37(11), p.e3514.
Koleini, F., Balsini, P. and Parastar, H. (2020). Evaluation of partial least-squares regression with multivariate analytical figures of merit for determination of 10 pesticides in milk. International Journal of Environmental Analytical Chemistry, 102(8), pp.1900-1910.