Azadeh Gholaminejad received her B.Sc. in Electrical Engineering with a major in Control from Isfahan University of Technology, Isfahan, Iran, in 2012, and her M.Sc. from Iran University of Science and Technology, Tehran, Iran, in 2018. For her B.Sc. project, she explored fuzzy methods for intersection traffic investigation. During her M.Sc., she became interested in machine learning, and applied various shallow and deep learning techniques for motor fault detection using electrical current and vibration signals. She has several years of work experience, including in the automotive industry with Saipa-Citroen, a joint venture between an Iranian automotive manufacturer and Citroen (now Stellantis). This experience enhanced her practical insight in the field and developed her soft skills. She joined MARC in January 2023 to pursue her PhD under the supervision of Professor Nahid-Mobarakeh. Working on vehicle electrification allows her to leverage both her academic and industrial experience. Currently, she is working on the control of switched reluctance motors, which are a promising candidate for EVs, and on state of health and charge estimation for batteries, which are essential for optimizing battery life as a primary component of EVs.