Ing. Peyman Safaeian

• Designed and implemented a Computer Vision and OCR framework, including image preprocessing, recognition, and validation, for automatic recognition of Iranian freight wagon numbers. • Designed and developed an intelligent Android application serving as a digital assistant for train chiefs to automate wagon recognition, registration, and train formation operations. • Developed an automated data verification module to compare recognized wagon numbers with operational data and generate digital reports.

• Conducted research on Computer Vision, Image Processing, and OCR for intelligent railway applications under the supervision of Dr. Majid Shahravi. • Investigated and evaluated train identification methods, railway wagon identification techniques, and UIC numbering systems, with a focus on their applicability to the Iranian railway network. • Designed, implemented, and evaluated a Computer Vision-based framework for automatic recognition of passenger railway coach UIC numbers using EAST and OCR.

Provided instructional and academic support for undergraduate engineering courses at the School of Railway Engineering, Iran University of Science and Technology, including: • Train Brakes Design - Professor: Dr. Asghar Nasr • Design of Mechanical Elements I & II -Professor: Dr. Majid Shahravi • Industrial Drawing I - Professor: Dr. Amin Ohadi

• Completed a 300-hour internship at Raja Rail Transportation Company's Multiple Unit (MU) Train Maintenance and Repair Factory. • Participated in the inspection, maintenance, and repair of Trainset and Railbus fleets. • Gained practical experience with braking systems, gearboxes, powerpacks, and traction systems, electrical and HVAC systems, and interior equipment. • Developed practical knowledge of railway rolling stock maintenance procedures, fault diagnosis, and operational safety practices.

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.