Hybrid Conferencee

International Conference on Applied Science, Mathematics and Statistics (ICASMS - 26)

8th - 9th September 2026 | Famagusta, Cyprus

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Famagusta. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Famagusta event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Famagusta conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Famagusta, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Famagusta."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 1
SDG 1 No Poverty
SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.