Call for Papers
Conference Submission
ICMSC encourages everyone to showcase their latest research endeavors. This conference is highly regarded as a prestigious event, designed with the aim of offering an outstanding international platform for academics, researchers, professionals, industry participants, and students to disseminate their research findings to a global audience of experts. All submitted abstracts will undergo a rigorous peer-review process, assessing originality, technical depth, research accuracy, and alignment with the conference's thematic focus.
The conference is inviting submissions related to the following conference topics: Engineering and Technology. We will also consider submissions related to other relevant tracks and topics.
We invite proposals for various formats, including paper presentations, posters/exhibits, virtual lightning talks, virtual posters, and colloquia, addressing one of the following themes. Papers may address, but are not restricted to, the main theme from any of the following sub-themes. Unlisted but related sub-topics are also acceptable.
Pure Mathematics
- Algebra and Number Theory
- Geometry and Topology
- Real and Complex Analysis
- Differential Equations
- Mathematical Logic
- Functional Analysis
Applied Mathematics
- Computational Mathematics
- Numerical Methods & Simulations
- Mathematical Modeling
- Operations Research
- Optimization Techniques
- Fluid Mechanics
- Dynamical Systems
- Mathematical Physics
Mathematics in Interdisciplinary Fields
- Biomathematics
- Financial Mathematics
- Engineering Mathematics
- Environmental Mathematics
- Cryptography and Information Security
Theoretical Statistics
- Probability Theory
- Statistical Inference
- Bayesian Statistics
- Time Series Analysis
- Multivariate Analysis
Applied Statistics
- Data Mining and Big Data Analytics
- Machine Learning and Statistical Computing
- Biostatistics
- Econometrics
- Demography and Population Studies
- Statistical Quality Control
- Environmental and Agricultural Statistics
Emerging Areas in Statistics
- Artificial Intelligence & Statistics
- Computational Statistics
- Statistical Methods in Social Sciences
- Health and Medical Statistics
- Statistical Software and Tools (e.g., R, SPSS, SAS)
Core Areas
- Algorithms and Data Structures
- Computer Architecture and Systems
- Software Engineering
- Theory of Computation
- Cybersecurity and Cryptography
- Programming Languages
Data Science & AI
- Data Analytics and Visualization
- Artificial Intelligence and Deep Learning
- Machine Learning Algorithms
- Natural Language Processing
- Image and Signal Processing
Applied Computing
- Cloud Computing
- IoT and Edge Computing
- High-Performance Computing
- Computational Intelligence
- Computer Simulation and Modeling
Emerging Technologies
- Quantum Computing
- Blockchain Technology
- Augmented and Virtual Reality
- Human-Computer Interaction
- Robotics and Automation