About Me
Hello! My name is Nasrin Imanpour, and I am a PhD student in Computer Science at University of South Carolina. I have a strong background in computer vision, machine learning and deep learning, and I am interested in exploring new efficient and robust approaches to artificial intelligence and computer vision.
Education
- PhD in Computer Science, XYZ University (Expected Graduation: 2023)
- MS in Computer Science, ABC University (2017-2019)
- BS in Computer Science, DEF University (2013-2017)
Research
My current research focuses on developing new algorithms for deep learning, with a particular emphasis on improving the efficiency and interpretability of these algorithms. I have published several papers in leading conferences and journals, and I have received several awards for my work.
Publications
- J. Doe, "A New Approach to Deep Learning," Proceedings of the AAAI Conference on Artificial Intelligence, 2020.
- J. Doe, "Improving the Interpretability of Deep Neural Networks," Journal of Machine Learning Research, 2021.
- J. Doe and J. Smith, "Efficient Training of Deep Convolutional Neural Networks," Proceedings of the Conference on Computer Vision and Pattern Recognition, 2022.
Contact
If you would like to get in touch, you can reach me at imanpour@email.sc.edu or visit Lab 2242 in the Storey Innovation Center.