Important Dates
Early Bird Registration :14th December 2026
Paper Submission Deadline :19th December 2026
Last Date of Registration : 29th December 2026
Date of Conference : 13th - 14th January 2027
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 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
Innovations in Mathematical Modeling for Engineering Applications
This track focuses on the latest advancements in mathematical modeling techniques tailored for engineering applications. Participants are encouraged to present novel approaches that enhance design processes and innovation.
Track 02
Optimization Techniques in Engineering Design
This session will explore various optimization methods used in engineering design to improve efficiency and performance. Contributions that demonstrate the application of these techniques in real-world scenarios are particularly welcome.
Track 03
Statistical Modeling and Data Analytics in Engineering
This track aims to highlight the role of statistical modeling and data analytics in engineering decision-making. Papers that showcase innovative data-driven approaches to solve engineering challenges will be featured.
Track 04
Computational Methods for Engineering Design
This session will cover computational methods that facilitate the design and analysis of engineering systems. Contributions that integrate computational techniques with practical engineering applications are encouraged.
Track 05
Risk Analysis and Management in Engineering Projects
This track addresses the importance of risk analysis in engineering design and project management. Papers that present methodologies for identifying, assessing, and mitigating risks in engineering contexts are sought.
Track 06
Machine Learning Applications in Engineering Design
This session will explore the integration of machine learning techniques in engineering design processes. Contributions that demonstrate the effectiveness of machine learning in enhancing design innovation are welcome.
Track 07
Predictive Analytics in Engineering Systems
This track focuses on the use of predictive analytics to forecast outcomes in engineering systems. Participants are invited to share their findings on how predictive models can optimize engineering processes.
Track 08
Quantitative Methods in Operations Research
This session will delve into quantitative methods applied in operations research to improve engineering efficiencies. Papers that illustrate the application of these methods in solving complex engineering problems are encouraged.
Track 09
Reliability Analysis in Engineering Design
This track emphasizes the significance of reliability analysis in the engineering design process. Contributions that explore methodologies for enhancing the reliability of engineering systems are particularly welcome.
Track 10
Simulation Techniques for Engineering Innovation
This session will focus on simulation techniques that support innovation in engineering design. Papers that demonstrate the application of simulation in testing and validating engineering concepts are encouraged.
Track 11
Applications of Applied Mathematics in Engineering
This track aims to showcase the diverse applications of applied mathematics in various engineering fields. Contributions that highlight the impact of mathematical techniques on engineering design and innovation are sought.