Muhammad Ayaz Hussain

Muhammad Ayaz Hussain is a doctoral candidate in the field of Control Systems, Robotics, and Machine Learning from the Electrical Engineering and Information Technology department of Ruhr University Bochum. He has done his master's in the field of Automation & Robotics from TU Dortmund and his bachelor's in Industrial Electronics from NED University. Currently, he is working on an adaptive control system on an Upper Body Exo-Skeleton. 5 years of experience as Wissenschaflicher Mitarbeiter at Ruhrwest University of Applied Sciences (HRW) where he is developing the control system of a lightweight 4 Degree of Freedom Upper Body Exo-Skeleton. Tutor of Robotics as well as Data Structure and Algorithm at HRW. 1 year of industrial experience as an automation engineer working with Siemens PLCs. Programming Skills: Python Language along with several libraries, Matlab, Simulink Publication: Comparison of Anomaly Detection between Statistical Method and Undercomplete Autoencoder