Kisa-e-Zehra is a dedicated professional currently pursuing a Master’s in Computer Science and Information Technology at NED University. She holds a Bachelor’s degree in Information Technology from Bahauddin Zakariya University. Kisa-e-Zehra has a strong academic background complemented by hands-on experience in the field.
Her career experience includes an internship at the Prime Minister’s Vocational Training Institute, where she focused on practical applications of computer science in education. Kisa-e-Zehra has contributed to significant academic projects, including developing an online job placement cell for TEVTA and creating an automated detection system for personal protective equipment (PPE) on construction sites.
She is also a co-author of a research publication titled “Real-Time Safety Helmet Detection Using Yolov5 at Construction Sites,” which was featured in the journal Intelligent Automation & Soft Computing. Kisa-e-Zehra is proficient in various software applications, including MS Office, and possesses excellent teamwork and presentation skills. She is eager to further her career by enhancing her abilities in a challenging professional environment, making her a valuable asset to any organization.
Publications
Kisaezehra, M. Umer Farooq, M. Aslam Bhutto, and A. Karim Kazi, “Real- Time Safety Helmet Detection Using Yolov5 at Construction Sites,” Intelligent Automation & Soft Computing, vol. 36, no. 1, pp. 911-927, 2023, doi: 10.32604/iasc.2023.031359.