International Conference on Applied Science, Mathematics and Statistics

ICASMS

31st May – 1st Jun 2027 Volgograd, Russia

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

Select Registration Mode

Standard / Physical Participation USD

Join us on-site for keynotes, talks, workshops, networking, conference kit and certificate.

Virtual Participation USD

Participate online via live streaming. Includes live access to all sessions, digital materials and certificate.

Participant Details

Full Name *

Email Address *

Mobile Number with Country Code *

City *

State *

Country *

Zip / Postal Code *

Address *

Coupon Code

Terms & Condition

I agree to the Terms & Conditions and Refund & Cancellation Policy.

Read the full Terms & Conditions

Registration Summary

Conference ICASMS

Date 31st May – 1st Jun 2027

Location Volgograd, Russia

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

100% Secure Payment

Your payment information is encrypted and processed securely.

Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Statistical Theory and Methods +

This track focuses on the development and application of statistical theories and methodologies. It aims to explore innovative approaches to statistical inference, estimation, and hypothesis testing.

SDG 4 SDG 9

02 Applied Mathematics in Engineering +

This session highlights the role of applied mathematics in solving complex engineering problems. Topics may include mathematical modeling, optimization, and numerical methods in various engineering disciplines.

SDG 9 SDG 12

03 Biostatistics and Public Health +

This track addresses the application of statistical methods in the field of health and medicine. It emphasizes biostatistical techniques for analyzing health data and improving public health outcomes.

SDG 3 SDG 3

04 Big Data Analytics and Applications +

This session explores the methodologies and tools for analyzing large datasets across various domains. It focuses on the challenges and opportunities presented by big data in statistical analysis and decision-making.

SDG 9 SDG 17

05 Time Series Analysis and Forecasting +

This track delves into the techniques for analyzing time-dependent data and making forecasts. It covers both traditional and modern approaches to time series modeling and their applications in various fields.

SDG 9 SDG 13

06 Statistical Computing and Software Development +

This session emphasizes the importance of computational tools in statistical analysis. It includes discussions on software development, programming languages, and algorithms used in statistical computing.

SDG 9 SDG 16

07 Decision Analysis and Risk Assessment +

This track focuses on the methodologies for decision-making under uncertainty. It explores statistical techniques for risk assessment and management in various sectors, including healthcare and engineering.

SDG 3 SDG 8

08 Econometrics and Economic Statistics +

This session examines the application of statistical methods to economic data. It covers econometric modeling, estimation techniques, and the analysis of economic trends and policies.

SDG 1 SDG 8

09 Psychological Statistics and Behavioral Analysis +

This track investigates statistical methods used in psychology and behavioral sciences. It emphasizes the analysis of experimental data and the interpretation of psychological research findings.

SDG 3 SDG 4

10 Chemometrics and Statistical Quality Control +

This session explores the application of statistical methods in chemistry and quality control processes. It focuses on data analysis techniques for improving product quality and process efficiency.

SDG 9 SDG 12

11 Population and Social Statistics +

This track addresses statistical methods for analyzing demographic and social data. It covers topics such as population dynamics, social indicators, and the application of statistics in social research.

SDG 10 SDG 16