Sajida Perveen completed her PhD from the Department of Computer Science under the supervision of Professor Dr. Muhammad Shahbaz at the University of Engineering & Technology (UET), Lahore. During her PhD, she engaged in teaching and scientific research both locally and internationally, including at the Department of Computer Science & Engineering, KICS (Al-Khwarizmi Institute of Computer Science) at UET Lahore, and the University of Salford, United Kingdom. She also worked as a research associate in the Artificial Intelligence and Data Analytics Lab at Prince Sultan University, Riyadh, Saudi Arabia.
Before that, she was with the Advanced Modelling and Simulation Lab at Ryerson University, Canada. She also served as an Assistant Professor at the Knowledge Unit of System and Technology, University of Management and Technology (UMT), Pakistan. Currently, she is an Assistant Professor in the Department of Computer Science at National Textile University, Faisalabad, Pakistan. Her current research interests include Healthcare Informatics, Machine Learning, and Data Mining.
Healthcare Informatics, Machine Learning, Data Mining and Data Science
Teaching and to conduct Labs
Research
Teaching, Research and Administrative Responsibilities
Teaching, Research and Administrative Responsibilities
2024 | |
| 1 | Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, Usman Ashraf, Isma Hamid, "A Framework for Early Detection of Acute Lymphoblastic Leukemia and its Subtypes from Peripheral Blood Smear Images Using Deep Ensemble Learning Technique.", IEEE Access, Vol. , No. , (2024), pp. |
| 2 | Abubakar Nadeem, Rehan Ashraf,Toqeer Mahmood,Sajida Perveen, "Automated CAD system for early detection and classification of pancreatic cancer using deep learning model", Plos One, Vol. , No. , (2024), pp. |
2020 | |
| 3 | Sajida Perveen, Muhammad Shahbaz, Karim Keshavjee, and Aziz Guergachi., "A hybrid approach for modeling type 2 diabetes mellitus progression.", Frontiers in genetics, Vol. , No. , (2020), pp. |
| 4 | Sajida Perveen, Muhammad Shahbaz, Tanzila Saba, Karim Keshavjee, Amjad Rehman and Aziz Guergachi., "Handling irregularly sampled longitudinal data and prognostic modeling of diabetes using machine learning technique", IEEE Access, Vol. , No. , (2020), pp. |
2019 | |
| 5 | Sajida Perveen, Muhammad Shahbaz, Karim Keshavjee, and Aziz Guergachi., "Prognostic modeling and prevention of diabetes using machine learning technique.", Scientific reports, Vol. , No. , (2019), pp. |
2018 | |
| 6 | Sajida Perveen, Muhammad Shahbaz, Karim Keshavjee, Aziz Guergachi, "A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression", Scientific Reports (Nature), Vol. , No. , (2018), pp. |
| 7 | Sajida Perveen, Muhammad Shahbaz, Karim Keshavjee, and Aziz Guergachi, "Metabolic Syndrome and Development of Diabetes Mellitus: Predictive Modeling Based on Machine Learning Techniques", IEEE Access, Vol. , No. , (2018), pp. |
2024 | |
| 1 | Sajida Perveen, "Comparative Analysis of Machine Learning Techniques for Hate Speech Identification on Social Media", 2nd International Conference on Scientific and Innovative Studies ICSIS 2024, April 18-19, 2024), Venue: Turkey, (2024) |
2023 | |
| 2 | Isma Hamid, Sara Masood, Qamar Nawaz, Sajida Perveen, "Realtime object detection and recognition device for blind and partially blind People (NanoEye)*", 2023 Computer Applications & Technological Solutions (CATS), Venue: Mubarak Al-Abdullah, Kuwait., (2023) |
2018 | |
| 3 | Muhammad Shahbaz, Sajida Perveen, Fareed Ahmad and Masood Rabbani, "Detection of Francisella Tularensis Pathogen in Soil using Neural Networks.", 20th International Conference on Computer, Electrical, Electronics & Communication Engineering (CEECE-18), Venue: Dubai, United Arab Emirates, (2018) |
2017 | |
| 4 | Muhammad Shahbaz, Sajida Perveen, Karim Keshavjee and Aziz Guergachi, "Performance Analysis of Clinical Abbreviation Disambiguation Using Machine Learning Techniques.", In Proceeding Modelling, Simulation and Identification / 854: Intelligent Systems and Control, Venue: Canada, (2017) |
2016 | |
| 5 | Sajida Perveen, Muhammad Shahbaz, Karim Keshavjee and Aziz Guergachi., "Performance Analysis of Data Mining Classification Techniques to Predict Diabetes.", Symposium on Data Mining Applications, SDMA2016, 30 March 2016, Riyadh, Saudi Arabia. Procedia Computer Science, Venue: Riyadh, Saudi Arabia., (2016) |
| 1 | Vice Chancellor Tallent AwardArid Agriculture University, Rawalpindi (2012) |
| 2 | International Research support Initiative program (IRSIP) scholarshipHigher Education commission (2020) |
COVITEX 2026