Topics
We invite submission of papers focusing on all aspects of computing innovations and
applied physics ranging from theoretical analysis to practical research.
We focus on challenges and applications in the fields of innovations in computing,
mathematics and applied mathematics, optics, and applied physics. The topics of interest
include but are not limited to:
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)
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 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
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