Welcome to the personal webpage of Dr. Mahdi Shadabfar.

This website serves as a platform for you to stay informed about his latest research and professional endeavors.​​​​​​​

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Latest Presentations
1. Probabilistic method for rockfall analysis
2. Probabilistic analysis of ground vibrations ...
3. Covid 19 prediction using probabilistic models​​​​​​​
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Latest Conference Papers
1. AI-based back analysis of multiphysics processes ...
2. Reliability analysis of slope stability ...
3. A hybrid Monte Carlo-Simulated Annealing ...
4. Effects of height and span of structures ...
5. A simplified method for the seismic analysis ...
6. Effects of crossing angle on the behavior of ...
Latest Journal Papers
1. Probabilistic Machine Learning for Predicting ...
2. Probabilistic estimation of thermal crack ...
3. Randomized Fractional SEIR-VQHP Model ...
4. Time-Variant System Reliability Analysis ...
5. Spatial uncertainty quantification of ...
6. A combined review of vibration control strategies ...

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Online Courses

Time Series Prediction using Deep Neural Networks​​​​​​​
Multilayer Perceptron (MLP) Neural Networks
Deep Recurrent Neural Networks (RNN)
Gated Recurrent Units (GRUs) Neural Networks
Long Short-Term Memory (LSTM) Neural Networks
Deep Convolutional Neural Networks (CNN)
Multi-Variate Multi-Objective Time Series Prediction
Duration: 14 Hours
Monte Carlo Sampling Method
Latin Hypercube Sampling Method
Bootstrap Sampling Method
​​​​​​​Importance Sampling
Surrogate Modeling using ANN
Reliability-based Optimization
Time-variant System Reliability Analysis
Duration: 22 hours
Monte Carlo Sampling Method ​​​​​​​
Geostatistics
Data Preprocessing
Distance Matrix and Lag Distance
Cloud Variogram
Variogram Estimators
Kriging Interpolation
Variance Contour and a Measure of Error
Duration: 4 Hours
More Information
More Information
More Information

Dr. Mahdi Shadabfar has prepared the following courses, which will be presented as online classes. If you are interested in enrolling in any of these courses, please click on “More Information” below to view the course details and preregistration link.

Weblog

With the increasing utilization of artificial intelligence, specifically artificial neural networks (ANNs), it has become more crucial than ever to acquaint students and professors with these methods. To address this need, we have meticulously crafted an exceptional educational resource in the form of a training video. In this resource, Dr. Mahdi Shadabfar delivers an introduction to ANNs in less than an hour, guiding you through the step-by-step implementation using the MATLAB programming environment. Whether you are a novice or already well-versed in ANNs, regardless of your field of study or research interests, we wholeheartedly recommend taking advantage of this invaluable educational resource. Simply fill out the form below, and the access link to this resource will be provided to you.

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A Gift

I am writing this message as a permanent post, to ensure that each time we access this page, it remains visible. Certain things must be reiterated from time to time. Please always bear in mind that you are a gifted individual, irrespective of your social status, educational or professional background, or the challenges and hurdles you may face. God has bestowed upon you numerous talents that you can nurture and utilize. The entire universe exists for your growth and refinement. Maintain your trust in God and never give up.​​​​​​​

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