Registration summary
ConferenceICASCIMAT
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICASCIMAT conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advanced Numerical Algorithms +
This track focuses on the development and application of advanced numerical algorithms in solving complex mathematical problems. Topics include iterative methods, factorization techniques, and high-order difference approximations.
02 Computational Biology and Medicine +
This session explores the intersection of computational methods and biological sciences, emphasizing mathematical modeling in medical applications. Participants will discuss innovative approaches to computational biology, including biometry and statistical analysis.
03 Data Science and Machine Learning +
This track aims to delve into the methodologies and applications of data science and machine learning in various fields. Topics include data exploration, data mining, and the use of Bayesian computing for predictive analytics.
04 Mathematical Models in Engineering +
This session highlights the role of mathematical models in engineering disciplines, focusing on applications in fluid dynamics, structural analysis, and control theory. Participants will present case studies showcasing the impact of mathematical modeling on engineering solutions.
05 Computational Finance and Economics +
This track investigates the application of computational methods in finance and economics, including risk assessment and optimization techniques. Discussions will cover numerical methods for financial modeling and economic simulations.
06 Statistical Methods in Life Sciences +
This session emphasizes the application of statistical methods in life sciences, focusing on biostatistics and the analysis of biological data. Participants will explore innovative statistical techniques for medical research and public health.
07 High Performance Computing in Scientific Research +
This track addresses the role of high-performance computing in advancing scientific research across various disciplines. Topics include supercomputing applications, scientific visualization, and the development of software architectures for complex simulations.
08 Numerical Methods for Differential Equations +
This session focuses on numerical methods for solving ordinary and partial differential equations, integral equations, and singular perturbation problems. Participants will discuss innovative approaches and their applications in engineering and physical sciences.
09 Computational Methods in Geosciences +
This track explores computational techniques applied to geosciences, including modeling and simulation of geological processes. Topics will cover computational geophysics, meteorology, and environmental modeling.
10 Optimization Techniques in Engineering and Data Science +
This session focuses on optimization techniques applicable in engineering and data science, highlighting methods for optimal control and resource allocation. Participants will discuss real-world applications and theoretical advancements in optimization.
11 Mathematical Chemistry and Computational Materials Science +
This track investigates the application of mathematical methods in chemistry and materials science, focusing on molecular dynamics and computational modeling of complex materials. Discussions will include theoretical frameworks and practical applications in chemical engineering.
