2026 International Conference on Intelligent Algorithms for Computational Imaging and Sensing

will be held in Macau, China during September 4-6, 2026. The conference theme is " Innovation, Inclusion, and Impact."

The 2026 International Conference on Intelligent Algorithms for Computational Imaging and Sensing (IC-IACIS 2026) is a reputable peer-reviewed international conference dedicated to advancing theories and practical applications in intelligent algorithms, computational imaging and sensing technologies.It fosters academic collaboration among global researchers, scholars and industry experts, establishes solid academic communication networks, and facilitates interdisciplinary knowledge exchange to boost technological innovation and research progress. This conference sincerely invites relevant researchers, students and professionals across the globe to participate and present their latest achievements.

All submitted manuscripts intended for oral presentation and conference proceedings publication will be subjected to strict double-blind peer review. Original research works covering theoretical analysis, algorithm design, system implementation and performance evaluation are highly encouraged for submission.

List of Topics

• Intelligent Algorithms for Imaging Reconstruction

• - Deep learning-driven inverse problem solving

  - Physics-guided neural networks for tomography

  - Self-supervised denoising in low-light imaging

  - Sparse signal recovery via non-convex optimization

  - Multi-modal fusion for enhanced medical diagnosis

  - Real-time 4D reconstruction from event cameras

  - Uncertainty-aware algorithms for robust imaging

  - Meta-learning for rapid model adaptation in imaging

  - Graph-based methods for hyperspectral data analysis

  - Federated learning for privacy-preserving imaging

• Edge Computing & Embedded Vision Systems

• - Low-power AI for on-device LiDAR processing

  - Energy-efficient algorithms for wearable sensors

  - Quantized neural networks for real-time SLAM

  - Neuromorphic computing for spiking camera data

  - Hardware-aware model compression for edge devices

  - Dynamic resource allocation in autonomous vision systems

  - Approximate computing for high-speed industrial inspection

  - Distributed inference for multi-robot collaboration

  - Edge-assisted compression for high-resolution video

  - Secure federated learning for edge-based surveillance

• Secure & Trustworthy Imaging Technologies

• - Adversarial defense for deep learning-based imaging

  - Blockchain-enabled audit trails for forensic photography

  - Differential privacy in medical imaging datasets

  - Robustness benchmarks for imaging AI under perturbations

  - Watermarking techniques for anti-counterfeit optical sensing

  - Self-supervised anomaly detection in LiDAR point clouds

  - Cryptographic protocols for secure multi-party imaging

  - Fail-safe mechanisms for safety-critical perception systems

  - Tamper-proof imaging via physical unclonable functions

  - Explainable AI for transparent imaging decision-making

• Quantum & Next-Generation Sensing Modalities

• - Quantum-enhanced phase estimation for metrolog

  - Single-photon imaging for ultra-low-light scenarios

  - Terahertz spectroscopy for non-destructive material analysis

  - Optomechanical sensors for gravitational wave detection

  - Plasmonic structures for ultra-sensitive chemical sensing

  - Ghost imaging via compressive sensing reconstruction

  - Spin-based quantum sensors for nanoscale magnetometry

  - THz imaging for concealed object detection in security

  - Bio-inspired optical sensors for polarized light detection

  - Non-line-of-sight imaging via transient reconstruction

• Algorithm-Hardware Co-Design for Imaging Systems

• - Photonic accelerators for convolutional neural networks

  - Diffractive neural networks for passive optical computing

  - Memristor-based in-memory computing for imaging denoising

  - Reconfigurable metasurfaces for dynamic optical filtering

  - Analog-to-information conversion for compressive sensing

  - 3D-stacked CMOS sensors with on-chip AI processing

  - Optically reconfigurable FPGA architectures for vision

  - Energy-efficient SPAD arrays for time-of-flight imaging

  - Hybrid digital-analog computing for real-time super-resolution

  - Co-optimization of optical elements and reconstruction algorithms

Contact

Contact

Contact Person: Conference Coordinator

ic_iacis@163.com