Laiba Farooq is a dedicated Information Technology teacher known for her creative and student-centered teaching style. She focuses on helping students learn technology through practical activities, hands-on projects, and modern digital tools. Her classroom environment is engaging and interactive, where students work with Scratch programming, Python basics, algorithms, and gamified learning tasks that make IT fun and meaningful.

Along with teaching, Laiba is also pursuing her MPhil in Information Technology at Sindh Agriculture University, Tandojam, where she is actively involved in advanced research work. Her research centers around fiber optic communication, network fault detection, machine learning, and evolutionary algorithms.

Her current research topic is:

“Optimizing Optical Fiber Faults Detection: A Comparative Analysis of Advanced Machine Learning Approaches.”

She is working with OptiSystem/Optica simulation tools to design fiber optic frameworks and aims to develop machine-learning-based models to detect common network faults, especially micro-bending faults.

With strong skills in lesson planning, coding instruction, and practical demonstrations, Laiba balances both teaching and research with passion and commitment. She believes that students learn best when they can apply technology in real-life situations rather than just reading about it.

Areas of Expertise

OptiSystem / Optica Simulations

Information Technology Teaching

Python, Scratch & Algorithm-based Learning

Gamified and Activity-based Teaching

Fiber Optic Communication Systems

Optical Network Fault Detection

Machine Learning & Evolutionary Algorithms