Key Tracks and Topics of Interest Include (but are not limited to):
Track 1: AI and Machine Learning for Signal Analytics
- Deep learning for time-series and audio signals
- Machine learning in sensor networks and IoT
- Signal anomaly detection using unsupervised learning
- Federated learning for distributed signal analysis
- AI for biomedical signals (EEG, ECG, etc.)
- Transformer models for sequence signal analysis
Track 2: Advanced VLSI Architectures and Embedded Signal Systems
- Signal processors in low-power VLSI systems
- FPGA/ASIC solutions for real-time signal computation
- Neuromorphic computing and edge AI chips
- High-speed circuit design for multimedia signal processing
- Hardware-software co-design in embedded smart systems
- Signal-aware design of energy-efficient architecture
Track 3: Digital Signal and Communication Processing in Smart Systems
- Adaptive and statistical signal processing techniques
- DSP for 5G/6G wireless networks and smart antennas
- Wireless signal propagation and spectrum analysis
- OFDM, MIMO, and multi-carrier modulation methods
- Signal processing for IoT and vehicular communications
- Antenna design and beamforming for intelligent communication systems
- Cognitive radio and dynamic spectrum access
- Software-defined and reconfigurable radios
Track 4: Imaging, Computer Vision, and Multimedia Signal Processing
- Deep learning for image classification and segmentation
- Compressed sensing and signal reconstruction in imaging
- 3D vision, stereo imaging, and depth signal processing
- Remote sensing and satellite image analytics
- Visual signal processing in surveillance and smart cities
- Image-based diagnostics in healthcare and autonomous systems