• Tnea
    Code 1399

Centre for Computational Modeling (CCM)

About Centre for Computational Modeling (CCM)

The Centre for Computational Modeling (CCM) is a premier research hub dedicated to advancing numerical simulation and computational analysis. The centre envisions a future where computational modeling plays a central role in engineering design and analysis, delivering faster, more accurate, and cost-effective solutions to complex industrial challenges.

CCM addresses intricate real-world problems through multidisciplinary research and innovative computational methods. The centre benefits from active engagement of industry experts and academicians, contributing in advisory, teaching, and collaborative roles.

A distinctive feature of CCM’s research is the integration of artificial intelligence algorithms into predictive modeling. Leveraging Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS), the centre enables accurate forecasting of system behavior under varying operating conditions. This enhances simulation precision, facilitates robust design optimization, and empowers students and researchers to develop intelligent, data-driven models.

Vision

To be a centre in driving advanced research in computational sciences.To promote computational modeling as a core discipline among students, faculty, and researchers.

Mission

  • To produce professionals with advanced numerical, analytical, and computational expertise capable of solving problems across diverse domains, including computational fluid dynamics (CFD), nanofluids, and entropy optimization involving various geometries.

Specific Objectives

  • Develop advanced computational and simulation methods for diverse applications in fluid dynamics, material science, control systems, biological systems, and beyond.
  • Apply appropriate numerical and analytical methods to solve governing physical problems.
  • Integrate ANN into modeling workflows for intelligent system performance prediction, early detection of design flaws, and optimized engineering solutions.
  • Publish high-quality research in peer-reviewed journals and present findings at international conferences, contributing to global advancements in computational modeling.
  • Foster interdisciplinary research by leveraging expertise from multiple engineering and scientific fields to address complex industrial and societal challenges.

Core Research Areas

  • Computational Fluid Dynamics (CFD)
  • Numerical and Analytical Analysis
  • Artificial Neural Networks (ANN)
  • Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

Research

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Admission 2026