Ing. Peyman Safaeian

I am currently working on a research and development project to develop an Android application that automatically recognizes freight wagon numbers using computer vision techniques. This app is designed to help the Freight Train Chief perform their duties more effectively and overcome operational challenges within the Iranian railway system.

Under the supervision of Dr. Majid Shahravi at Iran University of Science and Technology, I focused on applying computer vision techniques to address railway-related challenges. During this period, I authored two papers presented at ICRARE 2023. In the final phase of my research, I led a project on train identification and UIC code recognition using deep learning. This work employed the EAST model and OCR technologies for automatic train number recognition.

Served as a Teaching Assistant at the School of Railway Engineering in the following courses: • Train Brakes Design - Professor: Dr. Asghar Nasr • Design of Mechanical Elements I & II -Professor: Dr. Majid Shahravi • Industrial Drawing I - Professor: Dr. Amin Ohadi

Employed hands-on experience in the maintenance and repair of multiple unit (MU) trains during a 300-hour internship at Raja Rail Transportation Company's maintenance and repair factory, actively supervising and participating in the repair and maintenance of "Trainset" and "Railbus" units to ensure their operational efficiency and safety.

Upon completing my postgraduate studies, I earned the prestigious title of "Exceptional Talent" for my consistently outstanding academic performance. My thesis focused on designing and implementing a train identification system based on UIC codes using machine vision. Throughout this journey, I completed 32 credits, including 12 specialized courses, and actively participated in around 10 specialized projects and research endeavors.

I graduated with the honor of being recognized as an "Exceptional Talent." My thesis focused on "Methods of Train Identification and Coding," a topic I am deeply passionate about. During my academic tenure, I completed 145 credits across 68 diverse courses and actively participated in approximately 25 specialized projects and research initiatives.