ICNASC'24 Call for Papers |
The International Conference on Non-Linear Analysis and Scientific Computing (ICNASC) is the flagship conference of the International Association of linear and non-linear system and the premier conference in Mathematics and Computer Science, covering Chaotic System, Biological Process, Fluid Dynamics, Machine Learning, Image, Speech, Sensor pattern processing etc. ICNASC is the 1st event of the series which will be held at Vignan University, India during September 26-28, 2024. This conference provides a great opportunity to nurture new ideas and collaborations for students, academics and industry researchers. ICNASC'24 will cover the following four tracks:
- Fixed Point Theory and Applications
- Mathematical Modeling
- Differential Equations
- Fluid and Solid Mechanics
- Optimal Control Theory
- Quantum Mechanics
- Fractals
- Numerical Stability Analysis
- Number Theoretic Applications
- Graph Theory and Applications
- Fuzzy Systems
- Neural Networks
- Artificial Intelligence
- Machine Learning
- Pattern Recognition and Image Processing
- Quantum Information Science
- Biostatistics
- Inferential Statistics and Simulation
- Time Series Model
- Regression Model
- Design of Experiments
- Bayesian modeling
- Geospatial Analysis
- Applied Statistics
- Optimization Techniques
- Predictive Modeling
- Social Network Analysis
- Supply Chain Analytics
- Big Data Analysis
- Deep Learning
- Natural Language Processing
- Data Mining
The conference has several highlights, including keynotes by eminent experts, invited talks by academic and industry professionals, oral paper presentation, poster paper presentation, etc. ICNASC'24 will also have many workshops and Tutorials.
Prospective authors are invited to submit their papers in ICNASC'24. The selected papers will be published in some selected SCIE/SCOPUS journals/ SCOPUS book chapters with nominal fees. As of now, the following SCOPUS and ESCI indexed journal has consented to publish the articles through this conference.
Contemporary Mathematics
ISSN: 2705-1064 (Print) 2705-1056 (Online)
Submission and Review: |
ICNASC'24 will follow a single-blind review process. Authors can include their names and affiliations in the manuscript. Also, the authors can submit their arXiv papers in ICNASC'24 |
Participation and Paper Presentation Mode: ICNASC'24 will be held in hybrid mode. However the organizer of ICNASC encouraged the participants to attend the conference physically. Each accepted paper should have at least one author registration at the full rate (member or non-member). A full rate registration can cover a maximum of two papers (it may be two main conference papers, or one main conference paper and one workshop paper). Student registration only allows attending the conference and presenting papers, does not allow including paper in the proceedings. If an author cannot attend physically after registration, a proxy can be entrusted to present the paper physically. Otherwise, the authors can present it online. All no-show papers will be excluded from the conference proceedings. By the submission deadline, the authors may optionally submit additional material that was ready at the time of paper submission but could not be included due to constraints of format or space. The authors should refer to the contents of the supplementary material appropriately in the paper. Reviewers will be encouraged to look at it, but are not obligated to do so. Supplementary material may include videos, proofs, additional figures or tables, more detailed analysis of experiments presented in the paper. There is no page limit for the supplementary materials but only one file with maximum file size of 50 MB is allowed for submission. We encourage (if possible) authors to upload their code as part of their supplementary material in order to help reviewers assess the quality of the work. |
Program Chair |
Professor, Shenzhen University, China.
Dr. Arif Ahmed ,
Assistant Professor, XIM University, Bhubaneswar.
Dr. P. Sudam Sekhar,
Associate Professor, Department of Mathematics and Statistics, VFSTR.
Dr. Debnarayan Khatua,
Senior Assistant Professor, Department of Mathematics and Statistics, VFSTR.