Track 1: Communication and Networking
6G architectures and protocols
Terahertz communications
Cell-free massive MIMO
Integrated sensing and communication (ISAC)
UAV, HAPS, and NTN networks
Smart surfaces (RIS/IRS)
Beamforming and mm-wave Communications
Distributed resource allocation and scheduling
Underwater communications
Green telecommunications
Smart Grid Communications
AI-driven wireless systems
Machine/Deep learning for channel estimation
Reinforcement learning for network control
Semantic communications
Track 2: Signal Processing
Image/Video/Multimedia Signal Processing
AI for signal and image processing
Edge AI analytics
Biomedical signal intelligence
Multimodal signal fusion
Sparse and compressive sensing
Speech and language intelligence
Audio/Speech/Spoken Language Processing
Digital and Multi-rate Signal Processing
Pattern Recognition and Object Tracking
Compressive Sensing and High-Dimensional Statistics
Signal Processing in Bio-Medical Engineering
Signal processing for communications
Soft computing and its applications to Signal Processing
Geoscience and Remote Sensing
Array Signal Processing
Human-computer interfaces
Track 3: RF, mmWave, THz and Smart Technologies
Antennas, DRAs, MIMO, and Massive Antennas, Integrated Antennas, etc.
Radio-wave Propagation and Computation Electromagnetics
RFICs, MICs, and MMICs
mmWave and THz Systems
High Frequency Materials and Structures
Microwave Imaging and Metrology
RF and Microwaves in Medicine and Biology
RF Energy Harvesting and Wireless Power Transfer
High frequency Active components, viz. Amplifiers, Mixers, Oscillators, etc.
EMI & EMC
Tunable Filters, reconfigurable filters
Track 4: Quantum Communication and Quantum Machine Learning
Quantum communication protocols and secure transmission models
Quantum key distribution (QKD) and entanglement-based communications
Quantum repeaters, quantum networks, and quantum internet architectures
Satellite-based quantum communication and quantum sensing systems
Post-quantum and quantum-safe cryptography techniques
Quantum machine learning algorithms and variational quantum circuits
Quantum neural networks and hybrid quantum–classical learning frameworks