Sudipta Paul

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

Experience

1. Graduate Teaching Assistant

   University of Minnesota Duluth

   Aug 2018 — Present · 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

  2018 — 2020

• Khulna University of Engineering and Technology

  Bachelor of Science - BS, Electrical and Electronics Engineering

  2010 — 2014

• Rensselaer Polytechnic Institute

  Doctor of Philosophy - PhD, Electrical Engineering