Ms. Sumaiya Naumaan SCIT

Ms. Sumaiya Naumaan SCIT - BNU

Ms. Sumaiya Naumaan

Lab Instructor

School of Computer & IT (SCIT)

Ms. Sumaiya Naumaan is a Lab Instructor at SCIT, Beaconhouse National University, Lahore. A dedicated IT graduate, she demonstrates strong work ethic, adaptability, and a positive approach to challenges. Committed to continuous learning, she contributes effectively to academic and laboratory environments through collaboration, openness to feedback, and professional growth.

Bio

Ms. Sumaiya Naumaan is a Lab Instructor at the School of Computer & Information Technology (SCIT), Beaconhouse National University (BNU), Lahore. She is a dedicated and responsible IT graduate with a strong interest in continuous learning and professional development.

She is known for her strong work ethic, adaptability, and positive attitude toward challenges. With a collaborative mindset and openness to feedback, she consistently focuses on personal and professional growth while contributing effectively to academic and laboratory environments.

Academics

BS in Information Technology, Punjab University College of Information Technology (PUCIT), University of the Punjab, Lahore, Pakistan

Experience

Lab Instructor, Beaconhouse National University (BNU), Lahore (September 2025 – Present)

Projects

MiniGuard AI: Child Monitoring System (Final Year Project)
Python, OpenCV, YOLOv8, Flask
- Developed a real-time toddler detection system near danger zones using webcam input and YOLOv8.
- Implemented alarm triggers and email alerts through a Flask-based backend.
- Applied image processing techniques to improve detection accuracy.
Lung Abnormality Detection from Chest X-rays using CNN
Python, TensorFlow, Keras
- Built a CNN model to classify chest X-rays as Normal, Pneumonia, or Tuberculosis.
- Applied data augmentation to improve model generalization.
- Evaluated performance using accuracy, confusion matrix, and classification reports.
Truck Manufacturing & Sales Management System
MySQL, ERD, UML, DFD
- Designed a relational database and prepared SRS documentation.
- Modeled order tracking, production workflows, and sales management processes.