Parisa Farmanifard
Welcome to my webpage! My name is Parisa Farmanifard, I'm a PhD student in the Computer Science and Engineering department at "Michigan State University". I am fortunate to be advised by Dr. Arun Ross in the iPRoBe Lab.
I earned my bachelor's degree in IT Engineering in 2017. Before joining MSU as a direct PhD student in 2021, I worked in the industry for 4 years. Alongside my PhD, I also completed my master's degree at MSU. My research focuses on Computer Vision, Biometrics, and Pattern Recognition.
Research
One of my projects involved using Generative Adversarial Networks (GANs) for cross-spectral face recognition. This method helped bridge the gap between different spectral images, enhancing face recognition across varied lighting conditions.
Currently, my main focus is on exploring the potential of foundation models and large language models (LLMs). I have successfully applied foundation models for precise iris segmentation, which is crucial for increasing the accuracy and efficiency of iris recognition systems. By integrating these cutting-edge models into my research, I aim to expand the capabilities of biometric technology and security solutions.
Poster Presentations
- "Iris-SAM: Iris Segmentation Using a Foundation Model" - Engineering Graduate Research Symposium 2024 (MSU)
- "Cross-Spectral Face Recognition Using a Semantic-Guided GAN" - Engineering Graduate Research Symposium 2023 (MSU)
Internship Experience
- In the summer of 2023, I had an internship experience at American Electric Power (AEP),
working with their emerging technology group. My role involved a project on "drone-based pole detection", collaborating closely with a computer vision and machine learning group. During my internship, I have worked with various detection methods, including Detectron2, Yolov4, Yolov8, and the Segment Anything Model (SAM), primarily focusing on drone images.
