About ehsan
Researcher with substantial experience in scientific computing, uncertainty quantification, stochastic modeling, Bayesian inference, (supervised/unsupervised) machine learning, neural networks, deep learning, risk assessment, data analysis, and advanced problem-solving. Socially open-minded person works creatively as a team player with great curiosity in learning and strong communication and leadership skills appreciates constructive feedback able to comply with the deadlines whilst maintaining consistently high standards.
Key Skills
Experience
Machine Learning Research Scientist / Data Scientist
CurrentUniversity Of Notre Dame
* Engineering Department * Postdoctoral Fellow * · Reconstructed the corrupted experimental data and imputed the missing data by developing and applying Neural Network approaches (modification of GAN+CNN) (https://arxiv.org/pdf/2111.02823.pdf) * · Machine learning applications to probabilistic coastal hazard estimation for real-time storm surge forecasting * · Developed NN methods such as CNN, RNN, LSTM, and ConvLSTM with Encoder-Decoder and residual connection networks for (seq2seq) time series prediction (https://arxiv.org/pdf/2204.09501.pdf) * · Risk assessment through sensitivity analysis
Machine Learning Research Scientist / Data Scientist
University Of Utah
* Scientific Computing and Imaging Institute (SCI), Computer Science Department * Postdoctoral Fellow * · Developed a novel Recurrent Neural Network for time series problems * · Solved Ordinary Differential Equations (ODEs) by investigating Neural Network methods * · Developed a Molecular Dynamics model in order to predict the particles’ behavior in chemical fast-charging batteries * · Uncertainty quantification of molecular dynamics' models using Neural Network methods * · Investigated the Neural Ordinary Differential Equation method * · Studied the effect of matrix sparsity in ODEs on Neural Network performance * · Trained the Neural Network models with multiple trajectories train sets and evaluated the predictions accuracies
Postdoctoral Research Associate
Technische Universität Braunschweig
* Institute of Scientific Computing, Computer Science Department * Postdoctoral Researcher * · Accuracy evaluation, verification, and validation of several Bayesian numerical methods * · Developed algorithms such as sequential Gauss-Markov-Kalman filter and adaptive Markov Chain Monte Carlo method for solving inverse problems stochastically * · Stochastic modeling of mechanical-material models such as viscoplasticity models enriched with hardening and damage * · Developed algorithms for solving inverse problems stochastically * · Studied the coupled problems in stochastic FEM, UQ, Bayesian Identification, FE updating, sensitivity analysis, and stochastic multi-scaling * · Developed surrogate models by applying Polynomial Chaos Expansion to accelerate UQ and Bayesian calibration for the purpose of structural health monitoring * · Reported results as scientific publications * · Supervision of students * · Regular presentations of projects’ progress in national and international conferences
Education
Technische Universität Braunschweig
Doctor Of Philosophy
Ruhr University Bochum
Master Of Science
Isfahan University Of Technology
Bachelors
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Common Questions
What is ehsan's expertise?
ehsan specializes in AI Researcher, with expertise in data analysis, data mining, data science, deep learning, machine learning.
Where is ehsan located?
ehsan is based in menlo park, california, united states.
How much experience does ehsan have?
ehsan has 8+ years of professional experience.
How can I contact ehsan?
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