Signal Processing
• Advanced Digital Signal Processing
• Statistical, Adaptive & Multirate Signal Processing
• Sparse, Compressive & High Dimensional Signal Processing
• Signal Processing for 5G/6G Communications
• MIMO, OFDM & Next Generation Transmission Techniques
• Signal Processing for IoT & Cyber Physical Systems
• Multimodal Signal Processing
• Audio, Speech & Acoustic Signal Processing
• Biomedical, Neural & Physiological Signal Processing
• Remote Sensing, Radar, LiDAR & Earth Observation
• Signal Processing for Edge, Embedded & Low Power Systems
Imaging, Vision & Multimedia
• Image, Video & Multimodal Data Processing
• Computational Imaging & Image Reconstruction
• High Dimensional Imaging (Hyperspectral, Light Field, Radar, MRI)
• 3D Vision, Scene Understanding & Reconstruction
• Motion Analysis, Tracking & Visual SLAM
• Image/Video Compression, Transmission & Quality Assessment
• Generative Vision Models (Diffusion, GANs, NeRFs)
• Vision Language Models & Multimodal Fusion
• Efficient Vision Models for Real Time & Edge Deployment
Machine Learning Theory & Methods
• Deep Learning Architectures & Optimization
• Self Supervised, Weakly Supervised & Unsupervised Learning
• Reinforcement Learning & Sequential Decision Making
• Graph Neural Networks & Structured Learning
• Continual, Lifelong, Transfer & Meta Learning
• Causal Inference & Causal Representation Learning
• Probabilistic Modeling, Bayesian Methods & Variational Inference
• Large Scale Optimization for ML
• Foundation Models & Large Scale Pretraining
Trustworthy, Responsible & Secure AI
• Robustness, Adversarial ML & Secure Learning
• Explainability, Interpretability & Transparency
• Fairness, Bias Mitigation & Ethical AI
• Privacy Preserving ML (Differential Privacy, Federated Learning)
• Safety, Reliability & Governance of AI Systems
• Efficient ML Systems & Hardware
• Model Compression, Pruning & Quantization
Efficient Training & Inference Algorithms
• Distributed, Federated & Edge Learning
• TinyML & Ultra Low Power ML
• Hardware Accelerated ML (GPU/TPU/ASIC/Neuromorphic/Photonic)
• Systems for Large Scale ML & Foundation Models
Applications & Emerging Domains
• ML & Signal Processing for IoT and Industrial IoT
• Autonomous Systems, Robotics & Embodied Intelligence
• Healthcare, Bioinformatics & Wearable Sensing
• Smart Cities, Transportation & Infrastructure
• Environmental Monitoring, Climate Analytics & Sustainability
• Finance, Security, Fraud Detection & Risk Modeling
• Human Computer Interaction & Affective Computing
• ML for Communications, Networking & Spectrum Management
Scientific ML & Frontier Topics
• Physics Informed Neural Networks (PINNs)
• ML for Scientific Discovery & Engineering
• Quantum Signal Processing & Quantum Machine Learning
• Neuro Symbolic AI
• Multimodal AI Systems
• Benchmarking, Datasets, Evaluation & Reproducibility

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.