![]() He has developed simulation and data analysis models for various image data, additive manufacturing process optimization, vibrating systems, autonomous vechicle control, and studies of mechanical properties of bones. His research interests are image processing, machine learning applications, mechanical vibrations, micro-electro-mechanical systems, mechatronic system design, and simulation of system dynamics. He teaches a number of courses, including “Instrumentation and Measurement,” “System Modelling with MATLAB,” “Machine Design Analysis,” “Agricultural Power,” and “Advanced MATLAB/Simulink Modelling” for undergraduate and graduate students. He held visiting professor and researcher positions at Ohio and North Dakota State Universities, for 2010/2011 and Johannes Kepler University, from January through September 2017. He was an associate professor at Tashkent Automobile Road Institute from December 2006 through January 2017. He obtained a Master of Engineering degree from Tashkent Automobile Road Institute, a Master of Sciences from Rochester Institute of Technology, NY, and a PhD from the Cybernetics Institute of Academy Sciences of Uzbekistan in 1994, 20, respectively. Eshkabilov, PhD is an assistant professor in the Department of Agricultural and Biosystems Engineering at North Dakota State University. Use MATLAB and Simulink for data science projectsĮngineers, programmers, data scientists, and students majoring in engineering and scientific computing who are new to MATLAB and Simulink.Apply MATLAB to differential equations-based models and simulations.Work with integration and numerical root finding methods. ![]()
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