Dr. Hafiz Muhammad Tayyab Khushi

Assistant Professor

Faculty of Computer Science and Information Technology

I am a dedicated educator and researcher with a PhD in Computer Science, specializing in Deep Learning and Medical Imaging. Supported by a strong academic background across BS, MS, and PhD studies, I have contributed to scientific advancement through multiple publications in high-impact international journals, conferences, and book chapters. At Superior University, I focus on […]

I am a dedicated educator and researcher with a PhD in Computer Science, specializing in Deep Learning and Medical Imaging. Supported by a strong academic background across BS, MS, and PhD studies, I have contributed to scientific advancement through multiple publications in high-impact international journals, conferences, and book chapters. At Superior University, I focus on […]

1. Wishal Arshad, Tehreem Masood, HM Shahzad, Hassan A Ahmed, Syed Hamza Ahmed, Hafiz Muhammad Tayyab Khushi, “HistoDX: Revolutionizing Breast Cancer Diagnosis Through Advanced Imaging Techniques”, IEEE Access, DOI: https://doi.org/10.1109/ACCESS.2025.3574210, 2025, (IF: 3.6) 2. Syed Muhammad Ali Imran, Muhammad Arif, Arfan Jaffar, Hafiz Muhammad Tayyab Khushi, Abida Hussain, “Deep-Learning Based Multi-Modalities Fusion for the Detection of Brain- Related Diseases: A Review”, International Conference on Computing & Emerging Technologies, Springer Nature Switzerland, https://doi.org/10.1007/978-3-031-77620-5_11, 2025, Scopus Indexed (Book Chapter). 3. Ahmed Hassan, Tehreem Masood, Hassan A Ahmed, HM Shahzad, Hafiz Muhammad Tayyab Khushi, Benchmarking Pretrained Models for Speech Emotion Recognition: A Focus on Xception, Computers, DOI: https://doi.org/10.3390/computers13120315, 2024, (IF: 4.2) 4. Hafiz Muhammad Tayyab Khushi Tehreem Masood, Arfan Jaffar, Sheeraz Akram, “A Novel Approach to Classify Brain Tumor with an Effective Transfer Learning based Deep Learning Model”, Brazilian Archives of Biology and Technology, DOI: https://doi.org/10.1590/1678- 4324-2024231137, 2024, (IF: 1.1) 5. Hafiz Muhammad Tayyab Khushi, Tehreem Masood, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, “Improved Multiclass Brain Tumor Detection via Customized Pretrained EfficientNetB7 Model”, IEEE Access, DOI: https://doi.org/10.1109/ACCESS.2023.3325883, 2023, (IF: 3.9). 6. Hafiz Muhammad Tayyab Khushi, Tehreem Masood, Arfan Jaffar, Sheeraz Akram, Sohail Masood Bhatti, “Performance analysis of state-of-the-art CNN architectures for brain tumour detection”, International Journal of Imaging Systems and Technology, DOI: https://doi.org/10.1002/ima.22949, 2023, (IF: 3.3). 7. Suleman Asjed, Tehreem Masood, Arfan Jaffar, Hafiz Muhammad Tayyab Khushi, Impulse Noise Removal Using Soft-computing, University of Sindh Journal of Information and Communication Technology (USJICT), 2022. 8. Khubaib Ahmed, Tehreem Masood, Arfan Jaffar, Hafiz Muhammad Tayyab Khushi, A New Robust Multi focus image fusion Method, Lahore Garrison University Research Journal of Computer Science and Information Technology, 2022. 9. Hafiz Muhammad Tayyab Khushi, Tehreem Masood, Arfan Jaffar, Intelligent Hybrid Fraud Detection Using Biometric and Face Recognition, International Journal of Advanced Trends in Computer Science and Engineering, June 2021. 10. Ali Haider, Syed Aun M Naqvi, Hafiz Hasan Naqvi, Hafiz Muhammad Tayyab Khushi, Muhammad Adnan, Shazia Saqib Khan, “Time Complexity of BaichDo.com Web Application”, International Journal of Computer Science and Network Security (IJCSNS), 2020.  
1- Skin Lesion Detection Using Deep Learning 2- Brain tumor diagnosis by Computational Intelligence approach 3- Breast Cancer Diagnosis Through Advanced Imaging Techniques 4- Impulse Noise Removal Using Soft-computing 5- Intelligent Hybrid Fraud Detection Using Biometric and Face Recognition