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Structural Analytics
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This blog is maintained by Dr. Shihab Khan. Welcome to my creative workshop! This is where I meld Data Science, Programming, and Engineering!
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Latest posts...
Bayesian Updating: A Beginner’s Guide to the Mathematics and Philosophy
Bayesian statistics offers a powerful framework for updating beliefs based on new evidence, a concept rooted in the foundational theorem by Thomas Bayes. This approach is particularly valuable in data science for refining models and making informed decisions. Let’s delve into the key mathematical concepts and the philosophy behind Bayesian
Doctoral and Postdoctoral Opportunities in Australia
As an academic, the quest for knowledge is a journey without a destination. Today, I invite you to embark on an exploration of doctoral and postdoctoral research opportunities in Australia—a land abundant with academic potential and vibrant research communities. Discovering Australia’s Academic Landscape My own journey began with a
Introduction to Structural Reliability: A Data Science Perspective
Understanding the Basics of Structural Reliability Structural reliability is a crucial concept in engineering that deals with the estimation of a structure’s safety level under uncertainty. Unlike deterministic approaches that provide single numbers with no variation, structural reliability focuses on probabilities, reflecting real-world uncertainties in material properties, loads, and
What is Data-Driven Structural Engineering?
Introduction Structural engineering is at a turning point. New technologies, shifting design philosophies, and the urgent need for sustainability are reshaping the way we think about infrastructure. From vast amounts of sensor data to advanced AI algorithms, data science is opening a new frontier for structural engineers. In this post,