1. Fundamentals of pattern recognition: pattern representation, feature extraction, classifier design and evaluation

2. Image processing and analysis: image enhancement, segmentation, texture analysis, shape analysis

3. Target Recognition and Detection: object detection, face recognition, target tracking, license plate recognition

4. Biometrics: Fingerprint, Iris, Facial Recognition

5. Medical image analysis: medical imaging, disease diagnosis, image segmentation

6. Remote sensing image analysis: remote sensing data processing, land use classification, target detection

7. Video Analysis: Motion Recognition, Video Summarization, Anomaly Detection

8. Text Recognition and Analysis: Optical Character Recognition, Text Mining, Handwriting Recognition

9. Machine Learning and Pattern Recognition: Supervised Learning, Unsupervised Learning, Deep Learning

10. Deep Learning in Pattern Recognition: Convolutional Neural Networks, Generative Adversarial Networks

11. Computer vision: 3D vision, multi-view geometry, image alignment