About CONF-CIAP 2024

Mathematics have been attached with great importance as a basis of various subjects. Applied mathematics and statistics are widely used to tackle problems in areas including engineering, physics, medicine, business, and so on. This conference also focuses on theoretical physics and applied physics, as well as computing innovation. It is hoped that inter-disciplinary studies could promote development in relevant fields and seek solutions to the problems that can hardly be solved in the past. The conference is supported by faculty members from Bournemouth University and Oxford Brookes University.

The International Conference on Computing Innovation and Applied Physics is an annual academic conference. It aims at building an international platform for the 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 academic communication and collaboration worldwide.

Topics

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
The Internet of Things

Advanced Numerical Algorithms
Deep Learning
Image Processing
Robotics and Automation Sciences
Sensors and Sensor Networks
Semiconductors
Web and Grid based Simulation and Computing

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
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
Structural Mechanics and Structural
Engineering

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

Important Dates

Conference Date

January 27, 2024

Submission & Payment Deadline

Type	Early Bird Submission	Regular Submission
Paper Submission	August 11, 2023	November 10, 2023
Notification of Acceptance	2 weeks	2 weeks
Registration & Payment	August 25, 2023	November 24, 2023

Review Process

The submission will first be reviewed for its topic and length, then go through an originality check. The peer-review process will begin soon after the paper is found to be qualified. The paper will be sent to have a double-blind peer review by 2 reviewers. They will judge the paper based on the theme, coverage, innovation, integrity, depth, and language. If the paper is accepted, notification of acceptance and review comments will be sent to the author via email. The actual review time may be different under certain situations.

History

The Second International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023) was held online on 25 March. This conference was planned to be held at Stanford but finally moved online due to the pandemic. The accepted papers will be published in Journal of Physics: Conference Series (JPCS) (Print ISSN 1742-6588) or Theoretical and Natural Science (TNS) (Print ISSN 2753-8818). Professor Michael Harre from The University of Sydney, Professor Bismark Singh from University of Southampton, Professor Emanuel Indrei from Purdue Universityand other remarkable scholars, as the speakers of the conference, have given keynote speeches on related topics of mathematics, physics, and computer science. Also our authors were invited to deliver an oral presentation at the virtual conference. Questions from the audience were collected and answered by the presenters. This conference provided the participant good opportunities to exchange ideas and build networks, and it will lead to the further collaborations between both universities and other societies.

Publication

Journals

We call for excellent papers and review them according to the requirements of each journal. Qualified submissions will be directly recommended for publication in the following journals or corresponding Special Issues. The journals listed below have been indexed by Science Citation Index (SCI)/Science Citation Index Expanded (SCI-E) and/or Social Science Citation Index (SSCI):

JCRQ1 - Mathemtatic [Impact Factor: 2.4; CiteScore: 3.5]
JCRQ2 - Axioms [Impact Factor: 2.0; CiteScore: 2.2]

Conference Proceedings

Accepted papers of CONF-CIAP 2024 will be published in Theoretical and Natural Science (TNS) (Print ISSN 2753-8818), and will be submitted to Scopus, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Engineering Village (Inspec), Google Scholar, and other databases for indexing.

Title: Theoretical and Natural Science (TNS)
Press: EWA Publishing, United Kingdom
ISSN: 2753-8818 2753-8826 (electronic)

Submission & Template

Please follow this link to find more info & requirements about submitting your paper

Submission Info

Welcome to join us

We welcome prospective scholars to submit their novel research or technological contributions to CONF-CIAP 2024 and share their valuable experiences with other scientists and students from all over the world.

Who will attend

Principal investigators, scientists, professors, engineers, managers, R&D professionals, postdoctoral researchers, and graduate students involved in Computing Innovation and Applied Physics will attend and benefit from CONF-CIAP 2024.

Join as reviewer

We sincerely welcome professors, associate professors, lecturers and other experts in the areas of Computing Innovation and Applied Physics to join the conference as reviewers. Please feel free to email us at info@confciap.org to request further information if you are interested. Your request will be processed in 5 workdays.

Join as presenter

If you are interested in giving a presentation at the conference without publishing your paper in the proceeding, you can attend CONF-CIAP 2024 as a presenter. As a presenter, you need to submit the abstract and title of your presentation before registration. For further information, please feel free to contact us at info@confciap.org.

Join as audience

CONF-CIAP 2024 is an unmissable conference. It is a good opportunity and an effective method to meet many renowned experts and researchers in the fields of Computing Innovation and Applied Physics. You are more than welcome to attend this great event. For further information, please feel free to contact us at info@confciap.org.

Previous Speakers

Michael Harre, Ph.D.

Senior Lecturer, Faculty of Engineering, The University of Sydney

Dr. Harre's research combines the psychology of decision theory with artificial intelligence to understand complex social dynamics. Currently he's working on how to replicate a 'theory of mind' for AI and how AI communities co-create knowledge and can cooperate with humans. More generally Dr. Harre is interested in the psychology of AI: how can we use what we know of the mesoscopic scale of human cognition to advance our understanding of machine intelligence, i.e. beyond what is being done at the micro-scale of modelling neurons. He also has extensive experience in agent based modelling, economics, big data analytics, and game non-linear dynamics.

Title of Speech: Game Theory and the Free Energy Principle for Artificial Intelligence

Achintya Haldar, Ph.D.

Professor Emeritus, College of Engineering, University of Arizona

Dr. Achintya Haldar is active in the related areas of this presentation for over four decades and has published extensively. He taught at Illinois Institute of Technology, Georgia Institute of Technology, and now at the University of Arizona. He was a Guest Professor at the University of Tokyo, Visiting Professor at the IISc -Bangalore, IIT - Kanpur, Hong Kong University of Science & Technology, Technical University of Ostrava, Czech Republic, Honorary Distinguished Visiting Professor at BESU. He also worked Engineers India Ltd, New Delhi and Bechtel Power Corp, Los Angeles. Dr. Haldar has published over 640 technical articles (Google Scholar), including 12 books (edited included), and 38 book chapters. Dr. Haldar is a Distinguished Member of ASCE and a Fellow of SEI. He also received Lifetime Achievement Award from the Society for Reliability and Safety and an Honorable Diploma from the Czech Society for Mechanics. He received the highest teaching award from the University of Arizona and inducted in to Teaching Excellence Award Wall, Georgia Tech. He received many research awards including from President Reagan, ASCE's Huber Civil Engineering Research prize, and John C. Park Outstanding Civil Engineer Award. He received Excellence in Research Journal Award, IGI Global; Certificate of Recognition from Universidad de Cartagena, Colombia; Polis University, Albania; EuroSciCon, France; Euro Congress, London; Certificate of Appreciation, Taishan Academic Forum on Structural Safety and Reliability Assessment, China; and Honorable Recognition Award from ASME.

Title of Speech: Computing Innovation in the Reliability Analyses of Nonlinear Dynamic Systems in the Metaverse Era - REDSET

Emanuel Indrei, Ph.D.

Assistant Professor, Department of Mathematics, Purdue University

Emanuel Indrei is an Assistant Professor of Mathematics at Purdue University. He received his Ph.D. from the University of Texas at Austin in 2013 under the direction of Alessio Figalli. He was a Postdoctoral Fellow at the Australian National University, a Huneke Postdoctoral Scholar at the Mathematical Sciences Research Institute in Berkeley, and a PIRE Postdoctoral Associate at Carnegie Mellon University. The main themes in his research are nonlinear PDEs, free boundary problems, and geometric & functional inequalities. In the last few years, he solved the non-transversal intersection conjecture, Almgren's problem in two dimensions, and he made progress towards the Polya-Szego conjecture.

Title of Speech: On the First Eigenvalue of the Laplacian for Polygons

Bhupesh Kumar, Ph.D.

Postdoctoral Researcher, School of Physics and Astronomy, University of St-Andrews

Bhupesh Kumar is currently working as a Postdoctoral Researcher in the School of Physics and Astronomy, at the University of St-Andrews, Scotland, UK. He completed his first postdoctoral studies in May 2020 as a PBC Postdoctoral fellow under the supervision of Prof. Patrick Sebbah, where he played a leading role in the development of a complex experiment set up to study active control of 1D disorder gain media (Random laser), Impact of Non-Hermiticity and Nonlinear Interactions on Disordered-Induced Localized Modes, 1D and 2D solid-state tunable random laser. He has expertise in the subject of light localization, disorder photonics (1D, 2D), wave propagation in disorder media, adaptive optics, and hands-on experience in state-of-the-art instruments such as e-beam lithography, SEM, imaging spectrometer, femtolasers, Raman spectrometer, spatial light modulator, streak camera, and others. He has also completed his Ph.D. from IISER, Mohali, India,, where he worked on large angle twist properties of spider silks using optical diffraction technique and Raman spectroscopy.

Title of Speech: Controlling Random Lasers to Investigate Localization

Bismark Singh, Ph.D.

Assistant Professor, School of Mathematical Sciences, University of Southampton

Bismark Singh is an Assistant Professor in the Operational Research group within the School of Mathematical Sciences at the University of Southampton, UK. He received his habilitation in mathematics (2023), from the Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany in 2023 where he worked from 2019 to 2022. He received his PhD and MS degrees in operations research from The University of Texas at Austin, US in 2016 and 2013, respectively, and a BTech degree in chemical engineering from the Indian Institute of Technology (IIT) Delhi. From 2016 to 2019, he worked at the Discrete Math & Optimization group at Sandia National Laboratories, US, as a postdoctoral appointee. In 2017, he was a postdoc in the Institute of Operations Research, Karlsruhe Institute of Technology (KIT), Germany. Bismark's work has been funded as a PI on grants by several agencies, including the US Department of Energy's Laboratory Directed Research & Development program, the German Research Foundation (DFG), the European Open Science Cloud by the Horizon 2020 program, and the Scientific and Technological Research Institution of Turkey (TÜBİTAK).

Title of Speech: Optimization Models for Improving Access for Target Populations during Pandemics

Tommaso Cremaschi, Ph.D.

Assistant Professor (RTPC) of Mathematics, University of Southern California

Tommaso Cremaschi is an Assistant Professor (RTPC) of Mathematics in Department of Mathematics at University of Southern California. He was a Viterbi Post-Doc at MSRI at the program: Random and Arithmetic Structures in Topology. Before that he got the PhD at Boston College. He is interested in low dimensional topology. In particular he has been studying hyperbolic 3-manifolds with non-finitely generated fundamental group. He is also interested in higher Teichmüller Theory and counting problems on surfaces.

Title of Speech: Volume of Random Geodesic Complements

Partner Journals

CONF-CIAP cooperates with the following journals and qualified papers have the opportunity to be recommended for publication in these journals.

The Journal of Data Science and Intelligent Systems (JDSIS) is an international, peer-reviewed, interdisciplinary journal that provides in-depth coverage of the latest advances in the closely related fields of data science and intelligent systems.

JDSIS considers researches that focus on data integration, data information and knowledge extraction, and data application in a wide range of fields, including health, education, agriculture, biology, medicine, finance, environment, engineering, commerce, and industry. By integrating data with computer science, artificial intelligence, and other appropriate methods, the scope of JDSIS covers the entire process of areas of Data Science and Intelligent Systems.

The journal is a Gold Open Access journal. Online readers don't have to pay any fee.

All Article Processing Charges (APCs) are waived until the end of 2023.