International Conference on Computational Techniques in Structural Engineering
(ICCTISE-26)

13th December 2026 || Delhi - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Computational Techniques in Structural Engineering (ICCTISE), scheduled to be held on 13th December 2026 in Delhi, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Computational Science.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advanced Numerical Methods in Structural Engineering
    This track focuses on innovative numerical methods and their applications in structural engineering. Participants will explore the latest advancements in finite element analysis, boundary element methods, and meshless techniques. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 02 – Machine Learning Applications in Structural Analysis
    This session aims to discuss the integration of machine learning techniques in structural analysis and design. Researchers will present case studies demonstrating the effectiveness of AI-driven approaches in predicting structural behavior. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – High-Performance Computing for Structural Simulations
    This track emphasizes the role of high-performance computing in enhancing the efficiency of structural simulations. Discussions will center around parallel computing, cloud-based solutions, and their impact on computational speed and accuracy. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Statistical Modeling in Risk Analysis for Engineering
    This session will delve into the use of statistical modeling techniques for risk analysis in engineering applications. Participants will share methodologies for quantifying uncertainties and assessing structural reliability. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 8 – Decent Work and Economic Growth
  • Track 05 – Optimization Techniques in Structural Design
    This track is dedicated to exploring optimization methods in structural design and analysis. Researchers will present novel algorithms and frameworks that enhance design efficiency while meeting safety and performance criteria. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Data Science Innovations in Structural Engineering
    This session will highlight the transformative impact of data science on structural engineering practices. Topics will include data-driven decision-making, predictive analytics, and the use of big data in structural monitoring. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 07 – Computational Techniques for Nonlinear Structural Analysis
    This track focuses on computational techniques specifically designed for nonlinear structural analysis. Presentations will cover advanced modeling approaches and their applications in real-world engineering problems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Algorithms for Structural Optimization and Design
    This session will explore cutting-edge algorithms developed for structural optimization and design challenges. Participants will discuss heuristic methods, genetic algorithms, and their effectiveness in achieving optimal solutions. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Emerging Trends in Computational Science for Engineering
    This track will provide insights into emerging trends in computational science relevant to structural engineering. Discussions will include interdisciplinary approaches and the convergence of computational techniques with other fields. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 10 – Quantitative Methods in Structural Performance Evaluation
    This session will focus on quantitative methods used for evaluating structural performance under various loading conditions. Researchers will present methodologies for assessing durability, safety, and serviceability. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 11 – Applications of Artificial Intelligence in Structural Engineering
    This track will examine the applications of artificial intelligence in various aspects of structural engineering. Topics will include automated design processes, intelligent monitoring systems, and AI-driven predictive maintenance strategies. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 3 SDG 3
    Good Health and Well-being
  • SDG 4 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 17 SDG 17
    Partnerships for the Goals

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

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