Hadia Bibi

Brief Bio

Hadia Bibi is a Lecturer in Computer Science with expertise in machine learning, deep learning, and cybersecurity applications. She has experience in teaching, academic supervision, and research, particularly in phishing detection, sentiment analysis, and AI-based classification systems.

Her work focuses on applying artificial intelligence techniques to real-world problems, including cybersecurity threats and agricultural disease detection. She has published research in recognized journals and actively contributes to academic development through teaching and student mentorship.

Education
MS Computer Science
Bahauddin Zakariya University
2022
BS Computer Science
The Women University Multan
2020
Hafiza + Alma
Tanzeemul Mdaaris, Multan
2018
Professional Experience
Lecturer
University of Southern Punjab, Multan
2026 – Till now
Lecturer
The Women University, Multan
2023 – 2024
Lecturer
National College of Science, Dunyapur
2023 – 2024
Lecturer
Admire Group of Colleges, Dunyapur
2022 – 2023

Research Interests

  • Machine Learning & Deep Learning
  • Cybersecurity (Phishing Detection)
  • Natural Language Processing (Sentiment Analysis)
  • Computer Vision Applications

Current Projects

  • AI-based cybersecurity threat detection 
  • Deep learning model optimization 
  • Real-world ML applications in agriculture and social media analysis

Research Impact:

  • Publications: 3 
  • Q1 Publications: 1 
  • Primary Research Areas: AI, Cybersecurity, Data Science
Title Year Published Link
Phishing Website Detection Using Improved Multilayered Convolutional Neural Networks
2024
Click to view
Sentiment Analysis of Omicron Tweets by using Machine Learning Models
2023
Click to view
Comparing Inception V3, VGG 16, VGG 19, CNN, and ResNet 50: A Case Study on Early Detection of a Rice Disease
2023
Click to view

Bibi, H., Shah, S. R., Baig, M. M., Sharif, M., Mehmood, M., Akhtar, Z., & Siddique, K. (2024). Phishing website detection using improved multilayered convolutional neural networks. Journal of Computer Science, 20(9), 1069- 1079. https://doi.org/10.3844/jcssp.2024.1069.1079

Fazal, U., Khan, M., Maqbool, M. S., Bibi, H., & Nazeer, R. (2023). Sentiment Analysis of Omicron Tweets by using Machine Learning Models. VFAST Transactions on Software Engineering, 11(1), 67–75. https://doi.org/10.21015/vtse.v11i1.1450

Shah, S. R., Qadri, S., Bibi, H., Shah, S. M. W., Sharif, M. I., & Marinello, F. (2023). Comparing Inception V3, VGG 16, VGG 19, CNN, and ResNet 50: A Case Study on Early Detection of a Rice Disease. Agronomy, 13(6), 1633. https://doi.org/10.3390/agronomy13061633

Teaching & Supervision

Courses:

  • Artificial Intelligence 
  • Machine Learning 
  • Data Structures 
  • Computer Networks

Supervision:

  • Final Year Projects (Undergraduate Level) 
  • Research guidance in AI and ML-based systems

Core Skills

  • Technical Skills:
    Machine Learning, Deep Learning, CNN, NLP 
  • Research Skills:
    Data Analysis, Model Evaluation, Academic Writing 
  • Teaching Skills:
    Classroom Management, Outcome-Based Education, Student Mentorship

Professional Statement

Committed to advancing research in artificial intelligence and cybersecurity while fostering student innovation through practical and research-driven education.

Collaborations and Honors

  • Open to interdisciplinary research collaborations in AI and cybersecurity 
  • Active in academic teaching and student research development

Contact