Topics
This symposium welcomes submissions with the following topics
Applied Physics
- Condensed Matter Physics: Structures, Properties and
Computational Modeling
- Plasma Physics: Generation, Confinement and Applications
- Atomic, Molecular and Optical Physics: Spectroscopy, Lasers and
Quantum Interactions
- Particle and Nuclear Physics: Accelerators, Detectors and
High-Energy Phenomena
- Astrophysics and Cosmology: Simulations, Observations and Data
Analysis
- Materials Physics: Nanomaterials, Semiconductors and Functional
Materials
- Biophysics: Molecular Dynamics, Biological Systems Modeling
- Computational Physics: Simulations in Fluid Dynamics, Quantum
Systems and Many-Body Problems
- Geophysical and Environmental Physics: Climate Modeling,
Seismology and Atmospheric Phenomena
- Mechanics: Machine Design, Kinematics, and Mechanical Engineering
Meanwhile, submissions aligned with the overall conference scope are also
welcomed.
Optical Imaging and Sensing
- Nonlinear Optics: Phenomena, Mechanisms and Mathematical
Analysis
- Quantum Optics: Coherence, Entanglement and Quantum State
Manipulation
- Statistical Optics: Light Field Fluctuations and
Probability-Based Analysis
- Advanced Optical Imaging Techniques (e.g., Super-Resolution
Imaging, Holography, Tomography)
- Optical Sensing and Detection: Principles, Systems and Signal
Processing
- Image Processing in Optical Imaging (e.g., Denoising,
Reconstruction, Feature Extraction)
- Optical Metrology: Precision Measurement Based on Optical
Principles
- Biomedical Optics: Imaging and Sensing for Healthcare
Applications (e.g., Optical Coherence Tomography)
Applied and Computational Mathematics
- Differential Equations and Dynamical Systems (Theory, Modeling, and Numerical
Solutions)
- Optimization and Operations Research (Algorithms for Scientific and Engineering
Problems)
- Numerical Linear Algebra and Approximation Theory
- Stochastic Processes and Probability in Modeling
- Inverse Problems and Imaging Mathematics
- Mathematical Modeling in Physics and Interdisciplinary Applications
- Harmonic Analysis and Functional Analysis for Signal Processing
- Graph Theory and Combinatorics in Computational Problems
- Civil Engineering and Finite Element Simulation
Intelligent Computing Algorithms & Numerical Methods
- Artificial Intelligence (Theory, Models and Cross-Disciplinary
Adaptation)
- Machine Learning (Supervised/Unsupervised/Learning Paradigms for
Scientific Tasks)
- Deep Learning (Neural Network Architectures, Optimization for
Physics/Data-Driven Problems)
- Advanced Numerical Algorithms (for Partial Differential
Equations, Integral Equations, etc.)
- Scientific Visualization (Techniques for Visualizing Complex
Scientific Data from Simulations/Experiments)
- Image Processing (Algorithms for Scientific Imaging, e.g.,
Astrophysical, Biomedical, Material Science Imaging)
Miniaturized Quantum Magnetometers: