◕ Algorithms and Signal Processing

1. Adaptive Signal Processing Algorithms  

2. Time-Frequency Analysis and Multiresolution Techniques  

3. Sparse Representation and Compressed Sensing  

4. Digital Filtering and Filter Design  

5. Biomedical Signal Processing and Brain-Computer Interfaces  

6. Machine Learning Applications in Signal Processing  

7. Nonlinear Signal Processing Methods  

8. Graph Signal Processing and Network Data Analysis

◕ Intelligent Control Theory and Applications

1. Model-Based Intelligent Control Methods  

2. Robust Control and Adaptive Control Techniques

3. Robot Control and Motion Planning  

4. Applications of Deep Learning in Control Systems  

5. Distributed and Multi-Agent System Control  

6. Vision- and Sensor Fusion-Based Control Strategies  

7. Intelligent Control of Nonlinear Systems  

8. Fault Diagnosis and Fault-Tolerant Control of Intelligent Control Systems