Registration summary
ConferenceICSBOCM
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
ICSBOCM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Simulation-Based Optimization Techniques +
This track focuses on the latest methodologies and algorithms in simulation-based optimization. Participants will explore innovative approaches that enhance efficiency and accuracy in complex problem-solving.
02 Machine Learning Applications in Computational Modeling +
This session highlights the integration of machine learning techniques within computational modeling frameworks. Researchers will present case studies demonstrating the effectiveness of these applications in various domains.
03 Data Science Innovations for Big Data Analytics +
This track examines cutting-edge data science techniques tailored for big data challenges. Discussions will center on novel algorithms and tools that facilitate the extraction of meaningful insights from vast datasets.
04 Numerical Methods in Optimization Problems +
This session delves into the role of numerical methods in solving complex optimization problems. Presenters will share advancements that improve convergence rates and solution accuracy.
05 Quantitative Analysis in Complex Systems +
This track focuses on quantitative analysis methodologies applied to complex systems. Participants will explore statistical techniques that enhance understanding and modeling of intricate interactions.
06 Automation and Its Impact on Computational Science +
This session investigates the role of automation in enhancing computational science workflows. Researchers will discuss tools and frameworks that streamline processes and improve productivity.
07 Pattern Recognition Techniques in Data Science +
This track emphasizes the development and application of pattern recognition methods in data science. Presentations will cover theoretical advancements and practical implementations across various fields.
08 Applications of Artificial Intelligence in Optimization +
This session explores the intersection of artificial intelligence and optimization techniques. Participants will discuss AI-driven approaches that lead to improved decision-making and resource allocation.
09 Simulation Modeling for Decision Support Systems +
This track focuses on the use of simulation modeling in the development of decision support systems. Researchers will present methodologies that enhance decision-making processes in uncertain environments.
10 Probabilistic Models in Computational Science +
This session examines the application of probabilistic models in various computational science contexts. Participants will explore how these models can effectively represent uncertainty and variability.
11 Interdisciplinary Approaches to Optimization Challenges +
This track encourages interdisciplinary collaboration to address optimization challenges across different fields. Presenters will share insights and methodologies that bridge mathematics, statistics, and applied sciences.
