Registration summary
ConferenceICBIS
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
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
ICBIS conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Business Analytics +
This track focuses on the latest methodologies and applications in business analytics, emphasizing the role of data-driven decision-making in organizational success. Participants will explore case studies and innovative practices that leverage analytics for competitive advantage.
02 Statistical Methods in Industrial Engineering +
This session will delve into the application of statistical methods in industrial engineering, highlighting techniques for process optimization and quality control. Attendees will gain insights into how statistical tools can enhance operational efficiency and product reliability.
03 Data Mining and Machine Learning Techniques +
This track will cover cutting-edge data mining and machine learning techniques that are transforming business landscapes. Participants will discuss algorithms, model development, and real-world applications that drive insights from large datasets.
04 Bayesian Approaches in Business Statistics +
This session will explore Bayesian statistical methods and their applications in business contexts, providing a framework for decision-making under uncertainty. Attendees will learn about prior distributions, posterior analysis, and case studies demonstrating Bayesian efficacy.
05 Quality Improvement and Six Sigma Strategies +
This track will examine the principles of quality improvement and Six Sigma methodologies in various industries. Participants will discuss strategies for reducing defects, enhancing customer satisfaction, and fostering a culture of continuous improvement.
06 High Dimensional Data Analysis +
This session will focus on the challenges and techniques associated with high dimensional data analysis in business and engineering. Attendees will explore dimensionality reduction methods, variable selection, and their implications for predictive modeling.
07 Risk Analysis and Management in Business +
This track will address the importance of risk analysis and management in business decision-making processes. Participants will learn about quantitative risk assessment techniques and their applications in various sectors.
08 Statistical Computing and Software Applications +
This session will highlight the role of statistical computing in modern data analysis, focusing on software tools and programming languages. Attendees will gain practical insights into implementing statistical methods using popular software platforms.
09 Operations Research and Management Strategies +
This track will explore the intersection of operations research and management, emphasizing optimization techniques for resource allocation and process improvement. Participants will discuss case studies that illustrate the impact of operations research on business performance.
10 Time Series Analysis and Forecasting Techniques +
This session will focus on time series analysis and forecasting methods used in business contexts, providing insights into trend analysis and predictive modeling. Attendees will learn about various techniques and their applications in financial and operational forecasting.
11 Teaching Statistics in Business Education +
This track will discuss innovative approaches to teaching statistics within business education programs. Participants will share best practices, curriculum development strategies, and the integration of real-world data into statistical education.
