Asst. Prof. Emel Soylu
Deputy Head of Department
Education: Ph. D. 2016, Karabük University
Research Areas: Artificial intelligence techniques, robotics, battery condition monitoring systems, microcontrollers, embedded systems, control systems, electrical machine diagnostics and detection, deep learning, software development, programming languages
Selected Studies:
Master Thesis : Detection of Alternator Failures Using Probabilistic Neural Network, Karabük University
PhD Thesis : Prediction of Battery Type and State of Charge with Artificial Neural Networks by Monitoring the Conditions of the Batteries, Karabük University
