Mohammad Abdo

About Mohammad Abdo

A detail-oriented nuclear engineer with a multidisciplinary background, eager to implement state-of-the-art data mining/deep learning techniques to real-world engineering problems in various disciplines. With an extensive experience in mechanical engineering, uncertainty quantification, reduced order modeling, sensitivity analysis, sparse sensing, digital twins, time series characterization, and forecasting.

Experience

1. Modeling and Simulation Scientist

   Idaho National Laboratory

   Aug 2020 — Present · Idaho Falls, ID, US

Education

• North Carolina State University

  Doctor of Philosophy (Ph.D.)

  2011 — 2016

• Alexandria University

  Bachelor’s Degree

  1995 — 2000

Skills

• Collaborative Filtering
• Linear Regression
• Microsoft Office
• Clustering
• K-Means Clustering
• Support Vector Machine (Svm)
• Fortran
• Fire Fighting Design
• Research
• Anomaly Detection
• Logistic Regression
• Neural Networks
• Mathematical Modeling
• Autocad Mep
• Hvac Design
• Error Analysis
• Cfd
• Physics
• Github
• Naive Bayes
• Dimensionality Reduction
• Python (Numpy, Scipy, Pandas, Matplotlib,Seaborn,Scikit-Learn)
• Uncertainty Quantification
• Mechanical Vibrations
• Regularization
• Classification
• Decision Trees
• Engineering
• Mathematics Education
• Nuclear Engineering
• Proper Orthogonal Decomposion (Pod)
• Supervised Learning
• Random Forests
• Microsoft Excel
• Recommender Systems
• Reduced Order Modeling
• Piping
• Latex
• Sensitivity Analysis
• Autocad