The International Conference on Computing Innovation and Applied Physics(CONF-CIAP)2023

CIAP 2023

Computer Graphics Engineering & Computer Science (General) Mathematical Physics Physics & Mathematics (General) Computational Mathematics

The International Conference on Computing Innovation and Applied Physics(CONF-CIAP)2023

Date: 2023.3.25

Registration deadline: 2022.11.18/2023.3.17

Location: Stanford, CA, US (online and on-site)



Event enquiries email address:

Contact Person: Henry G

Submission Deadline:2022.11.04 /2023.3.3 (email:

Organizing society      : Eliwise Academy

Key Words: Theoretical Physics, Applied physics, Mathematics and Applied mathematics, Automatic control, Computer science;computing innovation

Introduction: The International Conference on Computing Innovation and Applied Physics is an annual academic conference held by Eliwise Academy. It aims at building an international platform for communication and academic exchange among participants from various fields related to mathematics, physics, and computing innovation. Here, researchers are welcomed and encouraged to share their research progress and inspirations. It is a great opportunity to promote scholarly communication and collaboration worldwide.



The paper accepted by CONF-CIAP 2023 will be published in Journal of Physics: Conference Series or Theoretical and Natural Science, which will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, CNKI, DOAJ, Inspec, Scopus, Google Scholar and other databases for indexing.


Topic List:

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, Theoretical and Applied Physics. The topics of interest include but are not limited to:


Computing Innovations

Artificial Intelligence

Cluster Computing

Design and Analysis of Algorithms

Machine Learning

Mobile Computing

Scientific Computing

Scientific Visualization

Web and Grid based Simulation and Computing

Advanced Numerical Algorithms

Deep Learning

Image Processing

Robotics and Automation Sciences

Sensors and Sensor Networks

The Internet of Things



Mathematics and Applied Mathematics

Applied Partial Differential Equations

Integral Equations

Numerical Analysis

Probability Theory

Mathematical Methods

Nonlinear Problems in Mechanics

Game Theory

Control Theory

Image Processing


Fluid Dynamics

Fuzzy Mathematics and Its Applications

Algebra and Its Application


Optimization and Operational Research


Stochastic Processes

Baysian Inference

Regression Analysis Estimation Theory


Sampling Theory

Planning and Scheduling

Discrete Applied Mathematics


Neural Networks


Theoretical Physics



Atomic, Molecular and Optical Physics

Black Hole Thermodynamics

Condensed Matter Physics

Conservation of Energy

Dark Energy and Matter

Electromagnetism and Field Theory

Gamma-ray Emission in the Universe

General Relativity

Gravitational Waves

Hadron Structure, Spectroscopy and Dynamics

High Energy Physics

Non-perturbative Field Theory

Optical Model

Particle Physics

Physical Cosmology

Precision Spectroscopy and Frequency Standards

Soft Matter Physics

Solid Mechanics and Special Relativity

Theory of Astronomical Navigation

Theory of Astronomical Time Keeping


Applied Physics

Accelerator Physics

Accelerator Research and Development

Acoustics, Noise and Vibration

Applications of Particle Trapping

Biophysics, Medical Physics

Detectors and Data Handling

Engineering Physics

Instrumentation and Control Components

Magnetic Devices and Materials

Materials Physics

Mechanics, Rheology and Tribology

Nano and Metamaterials

Neuromorphic Computing

Nuclear Physics

Quantum Chromodynamics and Quantum Computers

Spin Dynamics

Statistical Mechanics

Stealth Technology

Storage Ring Physics

Systems and Automation Thermodynamics