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Sudipta Paul
Graduate Teaching Assistant @University of Minnesota Duluth
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WORK HISTORY
Graduate Teaching Assistant @University of Minnesota Duluth
Duluth, MN, US
1) Responsible for teaching and research in power and energy systems, control systems, and machine learning. Received the \"Outstanding Graduate Teaching Assistant\" for 2018/19.2) Applied OOPs concepts- class, object, abstraction, function overloading, and operator overloading in C++to build a power flow analyzer using the Gauss-Siedel algorithm for any number of buses.Platform and Tools: C++143) Applied advanced control technique- Linear Quadratic Regulator, and State-Dependent Riccati Equation (SDRE) for maximizing the wind turbine power coefficient in the partial load region. Platform and Tools: MATLAB/Simulink, Python4) Modified the existing SDRE algorithm and proposed a new optimization algorithm- “A Simplified SDRE” which eliminates the sub-optimality in the existing SDRE. Applied the Simplified SDRE for a 6th order nonlinear model of a wind energy conversion systems.Platform and Tools: MATLAB/Simulink5) Built a general-purpose optimal control simulator in Python based on State-Dependent Riccati Equation(SDRE) algorithm that can work with any systems in the state-space form.Platform and Tools: Python, NumPy, SciPy, Slycot, Control, Matplotlib6) Applied machine / deep learning algorithms- Logistic regression, Decision Tree, SVM, and Deep Neural Net for incipient short-circuit fault detection of wind generators.Platform and Tools: Python, NumPy, Pandas, Matplotlib, Scikit-learn, Keras, Tableau7) Predicted loan grades (on a scale from A to G) of a peer-to-peer (P2P) Lending Club loan dataset by applying machine learning algorithms- Decision Tree, Deep Neural Network, KNN, Random Forest, and Linear Regression.Platform and Tools: Python, NumPy, SciPy, Pandas, Matplotlib
EDUCATION
University of Minnesota Duluth
Master's degree, Electrical and Electronics Engineering
Khulna University of Engineering and Technology
Bachelor of Science - BS, Electrical and Electronics Engineering
Rensselaer Polytechnic Institute
Doctor of Philosophy - PhD, Electrical Engineering
ABOUT SUDIPTA PAUL
Google Scholar Link: https://scholar.google.com/citations?hl=en & of Interest: Machine Learning, Control Theory, Disease Diagnostics and Control, Energy Systems
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