DR. JODDAT FATIMA
| PERSONAL INFORMATION | |||
|
|
|||
| joddat.fatima@bahria.edu.pk | |||
| Phone Ext. | 3054 | ||
| Research Areas / Expertise | Applied AI/ML Image Processing | ||
| QUALIFICATION | |||
| Degree | Passing Year | Majors | University |
| PhD (Computer Science) | 2023 | AI in Biomedical Image Analysis | Bahria University Islamabad Pakistan |
| TEACHING EXPERIENCE | |||
| Designation | From | To | Organization |
| Jnr. Lecturer | 08-Jan-2012 | 01-Jan-2013 | Department of Software Engineering Bahria University Islamabad |
| Lecturer | 01-Aug-2013 | 01-Jan-2018 | Department of Software Engineering Bahria University Islamabad |
| Assistant Professor | 01-Jul-2018 | 01-Jul-2023 | Department of Software Engineering Bahria University Islamabad |
| Snr. Assistant Professor / Wing Head System Engineering | 01-Jul-2023 | Present | Department of Software Engineering/ CoE-AI Bahria University Islamabad |
Publications
Journals & Conferences
- A Review Analysis On Ophthalmology Caused By Hypertenion Using Structural Features Of Eye | Asian Journal of Engineering, Sciences & Technology
- Review of Localization Techniques for Macula using Fundus Images | Pakistan Journal of Engineering and Technology (PakJET)
- Sentiment Analysis Based on Reviews Using Machine Learning Techniques | Pakistan Journal of Engineering and Technology, PakJET
- Spinal vertebrae localization and analysis on disproportionality in curvature using radiography—a comprehensive review." | EURASIP Journal on Image and Video Processing
- Automatic Localization and Edge based Segmentation of Vertebrae for Cobb Estimation and Curvature Deformity Analysis of Spine | Intelligent Automation & Soft Computing Journal
- Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models | MDPI Sensors
- Vertebrae localization and spine segmentation on radiographic images for feature based curvature classification for scoliosis | Concurrency Computation Practice and Experience
- Innovative hip-knee health evaluation: Leveraging pose estimation for single-leg stance postural stability assessment | Measurement and Control
- From CBC to clarity: Interpretable detection of beta-thalassemia carriers in imbalanced datasets | PloS one
- Trustworthy deep learning for malaria diagnosis using explainable artificial intelligence | Scientific Reports
- THALASSEMIA CARRIER IDENTIFICATION FROM BLOOD MICROSCOPY IMAGES: A COMPARATIVE ANALYSIS OF ML AND DL APPROACHES | Spectrum of Engineering Sciences
- Balancing noise reduction and neural signature preservation in EEG biometrics | Scientific Reports
