International Conference on Applied Probability in Engineering and Technology

ICAPYETY

20th Jan – 21st Jan 2027 Surabaya, Indonesia

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Registration Summary

Conference ICAPYETY

Date 20th Jan – 21st Jan 2027

Location Surabaya, Indonesia

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

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

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

01 Advancements in Probability Theory +

This track focuses on the latest developments in probability theory and its foundational aspects. Researchers are invited to present theoretical advancements that can be applied to engineering and technology.

SDG 4 SDG 9

02 Statistical Modeling in Engineering +

This session will explore innovative statistical modeling techniques tailored for engineering applications. Contributions should demonstrate the effectiveness of these models in solving real-world engineering problems.

SDG 9 SDG 11

03 Risk Analysis and Management +

This track emphasizes methodologies for risk analysis and management across various engineering disciplines. Papers should address quantitative approaches to assess and mitigate risks in engineering projects.

SDG 8 SDG 9

04 Reliability Theory in Technology +

This session will delve into reliability theory and its applications in technology-driven industries. Contributions should highlight methods for enhancing system reliability and performance.

SDG 9 SDG 12

05 Random Processes in Engineering Applications +

This track invites discussions on the application of random processes in engineering contexts. Researchers are encouraged to present case studies and theoretical insights that demonstrate the utility of random processes.

SDG 9 SDG 11

06 Optimization Techniques in Applied Probability +

This session focuses on optimization techniques that leverage principles of applied probability. Submissions should illustrate how these techniques can improve decision-making in engineering and technology.

SDG 9 SDG 12

07 Computational Statistics and Simulation +

This track will cover advancements in computational statistics and simulation methodologies. Papers should showcase innovative computational approaches that enhance statistical analysis in engineering.

SDG 9 SDG 17

08 Machine Learning and Artificial Intelligence in Probability +

This session explores the intersection of machine learning, artificial intelligence, and probability theory. Contributions should demonstrate how probabilistic models can enhance machine learning applications in engineering.

SDG 4 SDG 9

09 Data Science Applications in Engineering +

This track highlights the role of data science in engineering applications, focusing on data-driven decision-making. Researchers are invited to present case studies that illustrate the impact of data science on engineering outcomes.

SDG 9 SDG 12

10 Quantitative Methods for Decision Support +

This session will explore quantitative methods that support decision-making processes in engineering. Papers should provide insights into how these methods can be applied to real-world engineering challenges.

SDG 9 SDG 12

11 Predictive Analytics in Engineering and Technology +

This track focuses on the application of predictive analytics in engineering and technology sectors. Contributions should demonstrate how predictive models can inform strategic decisions and improve operational efficiency.

SDG 9 SDG 12