Important Dates
Early Bird Registration :20th July 2026
Paper Submission Deadline :25th July 2026
Last Date of Registration : 4th August 2026
Date of Conference : 19th - 20th August 2026
Conference Session Tracks
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.
SDG 3 — Good Health and Well-being
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
Track 01
Mathematical Modeling in Industrial Systems
This track focuses on the development and application of mathematical models to solve complex problems in industrial engineering. Participants will explore various modeling techniques and their effectiveness in optimizing processes and systems.
Track 02
Optimization Techniques in Operations Research
This session will delve into advanced optimization methodologies used in operations research to enhance decision-making in industrial contexts. Topics include linear programming, integer programming, and heuristic approaches.
Track 03
Statistical Methods for Risk Analysis
This track emphasizes the role of statistical techniques in identifying and mitigating risks within industrial operations. Discussions will cover probabilistic models, risk assessment frameworks, and their applications in real-world scenarios.
Track 04
Data Science Applications in Engineering
This session highlights the integration of data science methodologies in engineering practices to drive innovation and efficiency. Participants will examine case studies that showcase the impact of data analytics on operational performance.
Track 05
Machine Learning for Predictive Analytics
This track explores the application of machine learning algorithms in predictive analytics for industrial engineering. Attendees will learn how these techniques can enhance forecasting accuracy and support strategic decision-making.
Track 06
Computational Methods in Applied Mathematics
This session focuses on computational techniques used to solve mathematical problems in industrial applications. Topics include numerical analysis, simulation methods, and their relevance in optimizing engineering processes.
Track 07
Statistical Modeling for Process Improvement
This track investigates the use of statistical modeling to enhance process design and operational efficiency. Participants will discuss methodologies for process optimization and quality control through data-driven insights.
Track 08
Quantitative Methods in Decision Support Systems
This session examines the role of quantitative methods in developing effective decision support systems for industrial applications. Topics will include algorithm design, simulation, and the integration of quantitative analysis in decision-making.
Track 09
Forecasting Techniques in Operations Management
This track focuses on various forecasting techniques and their application in operations management. Participants will explore time series analysis, causal modeling, and their implications for supply chain and inventory management.
Track 10
Algorithms for Optimization and Simulation
This session will cover the development and application of algorithms designed for optimization and simulation in industrial settings. Discussions will include algorithm efficiency, implementation challenges, and case studies.
Track 11
Applied Statistics in Industrial Research
This track highlights the importance of applied statistics in conducting research within industrial engineering. Participants will discuss statistical methodologies, data interpretation, and their implications for industry practices.