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Maham Aurang Zaib

Maham Aurang Zaib

Lab Instructor
Department of Software Engineering

Profile summary

Maham is a highly capable Lab Instructor at Shifa Tameer-e-Millat University (STMU), holding an M.S. in Software Engineering (COMSATS University Islamabad) and a B.S. in Information Technology (GCWUS Sialkot). She brings a robust and versatile technical foundation, with deep expertise in Software Engineering, Artificial Intelligence, Machine Learning, eXplainable AI, Artificial Neural Networks (ANN), Object‑Oriented Programming (OOP), and advanced Proficiency in Python and Java. In her current academic role, she has guided BS‑AI students in foundational and advanced courses such as Knowledge Representation & Reasoning (KRR), OOP, and ANN, fostering both their theoretical understanding and practical skills. Beyond conventional teaching, Maham has led technical workshops for medical professionals, including MBBS doctors, dentists, and medical scholars where she taught Python programming and demonstrated applications of AI in healthcare settings. Her research interests are focused and socially relevant: she works on ML‑based risk assessment models, XAI‑driven interpretability studies, construction analytics, and AI‑assisted clinical decision support. By interweaving academic instruction, hands‑on programming, and applied research, Maham strives to build a bridge between computing theory and real-world problem solving, preparing students to excel both in academia and industry, and contributing to technological innovation with a socially conscious mindset.

Qualification

Degree Field Institution Year
MS Software Engineering COMSATS University Islamabad 2022
BS Information Technology Government College Women University Sialkot 2024

Teaching experience

Position Institution Duration
Lab Instructor Shifa Tameer-e-Millat University, Islamabad 2025
Workshop Instructor Rawalpindi Medical University, Islamabad 2024

Honors & awards

No. Award
1. 2024 – Laptop Winner (HEC Higher Education Commission), Prime Minister’s Laptop Scheme
2. 2023 – Scholarship Holder (Punjab Educational), E-Scholarship, COMSATS University Islamabad

Research areas / interests

No. Research Area / Interest
1. Explainable AI (XAI) with SHAP, Ablation, Saliency Maps, and Permutation Feature Importance
2. Machine Learning Models for Risk Assessment and Predictive Analytics
3. Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and LSTM Networks
4. Programming Languages: Java (teaching) and Python
5. Dataset Analysis and Preprocessing
6. Academic Writing and Workshop Development

Publications

No. Publication
1. Maham Aurang Zaib, S. ur Rehman, E. Malik, and Q.-u.-a. Mastoi, “Explainable AI in Tabular Medical Data: A Path to Trustworthy Healthcare Decisions,” in Proc. SecureEdge6G 2025 – IEEE CNS, Avignon, France, Nov. 2025.
https://doi.org/10.1109/CNS66487.2025.11194944