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)



Cost:$700



Website: https://2023.confciap.org/



Event enquiries email address: info@confciap.org



Contact Person: Henry G



Submission Deadline:2022.11.04 /2023.3.3 (email: submission@confciap.org)



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.



 



Publication:



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: https://2023.confciap.org/topics.html



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



Semiconductors



 



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



Cryptography



Fluid Dynamics



Fuzzy Mathematics and Its Applications



Algebra and Its Application



Geometry



Optimization and Operational Research



Statistics



Stochastic Processes



Baysian Inference



Regression Analysis Estimation Theory



Econometrics



Sampling Theory



Planning and Scheduling



Discrete Applied Mathematics



Algorithms



Neural Networks



 



Theoretical Physics



Astrophysics



Astrophysics



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