
Madiha Ijaz
Associate Lecturer
Ext:
Madiha Ijaz is an aspiring academic and machine learning professional with experience in teaching, software development, and research. She has a strong foundation in machine learning, artificial intelligence, and full-stack development. Her research interests include autism spectrum disorder prediction using deep learning and emotion detection in Roman Urdu-English text. With a passion for teaching, she has delivered lectures on computer science subjects and supervised student projects. Additionally, she has experience in backend development, API integration, and frontend frameworks.
MS/MPhil | Computer Science | Bahria university, Lahore | 2024 |
B.Ed. | Education Science | Allama Iqbal Open University | 2020 |
BS | Computer Science | University of Gujrat | 2018 |
Visiting lecturer | Bahria University | Fall 2024 |
Full stack developer | Freelance | Aug 2021- apr 2022 |
Teaching | The Educators, Lahore | Mar 2019-jul 2020 |
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Prediction of Autism Spectrum Disorder (MS Thesis)
- Built deep learning models (Xception, InceptionV3, VGG19) to detect autism from facial images.
- Achieved 92.33% accuracy with Xception model.
Emotion Detection in Code-Mixed Roman Urdu-English Text (Paper Reproduction)
- Used machine learning algorithms (RF, NB, SVM, LR, DT, ME) for text classification.
- Achieved best accuracy of 70.81% using LR with Uni-gram features.