6th CONF-CIAP

Applications of Complex Analysis, Optimization and Integrability to Physical Theories

Organizer Submission Deadline Notification of Acceptance Submission Email Download
The Department of Mathematics and Statistics, University of South Florida January 15, 2027 7-20 workdays sympo_tampa@confciap.org Manuscript Template

Scope

As indicated above, the main theme of the meeting is rooted in the invariant subspace problem, with an emphasis on its relations to: the classification problem of von Neumann algebras, singular representations of Lie groups, deformation theory for Lie groups, the use of greedy sequences in solving optimization problems which are computationally-hard, and methods from geometric function theory.

Topics

This symposium welcomes submissions with the following topics

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

Meanwhile, submissions aligned with the overall conference theme are also welcome.

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)

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

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)