Fariba Rezaei

Led projects in image-based 3D reconstruction and depth estimation, and image classification using deep learning. Developed monocular and multiview depth map estimation for 3D printing with micrometer accuracy.

Worked on computer vision for aerial images and point clouds, including instance segmentation for road markings, road border detection, and 3D semantic segmentation. Reconstructed meshes from building point clouds and classified tree species.

Developed 3D object detection and lane detection for self-driving cars, including monocular and multiview detection models. Implemented preprocessing and postprocessing in C++ for deployment.

Developed X-ray image analysis for industrial inspection, including baggage threat detection and electronic defect detection. Prepared deployment as a Windows application using ML.NET.

Researched and implemented OCR text recognition tasks, including data preparation, feature extraction, and sequence modeling. Explored various OCR frameworks for text detection and recognition.

Researched radio regulations for satellite communication and performed interference analysis with ITU software. Contributed to world-level conferences on frequency allocations.

Taught undergraduate courses in electrical engineering.

Grade: 19/20

PhD in Electrical Engineering with thesis on crowd behavior recognition in video sequences, achieving a thesis score of 19 out of 20.

Grade: 18.75/20

Master's degree in Electrical Engineering with thesis on spectrum sensing in cognitive radio, achieving a thesis score of 18.75 out of 20.

Bachelor's degree in Electrical Engineering with thesis on frequency selective surface.