The ICASMS 2026 conference serves as a premier international forum for presenting the latest technological advancements and research findings in Applied Science, Mathematics, and Statistics. This event will bring together leading researchers, engineers, and scientists from around the world to exchange knowledge, foster collaborations, and explore innovative solutions in these fields.
We warmly invite both previous contributors and new authors to submit their research papers and share their insights with a global community of scholars and experts. The conference is organized by SciencePlus and will take place in the vibrant city of Delhi, India.
Key Information
Event Status - Active
Organizer - SCIENCEOLUS
Organizing Secretary - Conference coordinator
Conference inquiry Email ID - papers.scienceplus@gmail.com
Important Dates
Submission Deadline - 13/01/2026
Conference Start - 02/02/2026
Conference End - 03/02/2026
Program Schedule
Physical Schedule
Timing Sessions :
08:30 AM – 09:00 AM On-Site Check-In & Welcome Coffee
09:10 AM – 09:30 AM Inaugural Address & Conference Overview
12:00 PM – 01:00 PM Networking Lunch
03:00 PM – 03:15 PM Closing Ceremony & Awards
Major topics covered for this event
Algebra and Number Theory
Analysis
Analytical Methods for Social Research
Applied Mathematics
Applied Statistics
Biomathematics
Biostatistics
Business Statistics
Computational Mathematics
Computer Mathematics
Computational Statistics
Computer Simulations
Cross-disciplinary areas of Mathematics
Discrete Mathematics
Econometrics
Educational Statistics
Engineering Mathematics
Environmental Statistics
Financial Mathematics
Financial Options
Finite Mathematics
Fractals
Geometry
Industrial Statistics
Logic for Mathematics and Computer Science
Mathematical Biology
Mathematical Modeling in Ecology
Mathematical Modeling in Environmental Sciences
Mathematical Statistics
Mathematics for Political and Social Research
Medical Statistics
Modeling of financial derivatives
Modeling of Marine Environment
Modeling of Sand Dune migration
Number Theory
Numerical Analysis
Operations Research
Population Dynamics
Probability
Quantitative Methods
Statistical Modeling
Topology
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