Department of Computer Science
Extension Number:
Office Number: S-211

Brief Profile
Her Ph.D. work was in the domain of Medical Image Processing focused on Left Ventricle Segmentation in CMR. Her work is published in several international Journals and conferences. Her area of interest is medical image processing, Machine learning, and Artificial intelligence. She has worked as a research associate in CRULP, FAST University Lahore, and as a faculty member at Kinnaird College Computer Science Department. She is serving as a reviewer of international journal papers. She is HEC Approved Supervisor.

Education (latest 3 degrees)

• PhD (CS) NUCES, FAST Lahore Campus
• MS (CS), NUCES, FAST Lahore Campus

Research and publications (along with the publication link)
1. Publication in Journal of X-Ray Science & Technology (2021), ISSN: 0895-3996,1095-9114, Rank: X, Impact factor=3.0
“Automatic Segmentation of Medical Images Using a Novel Harries Hawk Optimization Method and an Active Contour Model”.

2. Publication in Journal of X-Ray Science & Technology (2021), ISSN: 0895-3996,1095-9114, Rank: X, Impact factor=3.0
“Computer – aided COVID- 19 Diagnosis a Comparison of Deep Learners using Augmented CXRS”.

3. Publication in Multimedia Tools and Applications (2021), ISSN: 1380-7501,1573-7721, Rank: W, Impact factor=2.577
“Two stage Active Contour Model for Robust Left Ventricle Segmentation in Cardiac MRI”.
4. Publication in Journal of X-Ray Science & Technology (2022), ISSN: 0895-3996,1095-9114, Rank: X, Impact factor=3.0
“Applying an adaptive Otsu – based Initialization algorithm to Optimize Active Contour Models for Skin Lesion Segmentation”.

5. Publication in Multimedia Tools and Applications (2022), ISSN: 1380-7501,1573-7721, Rank: W, Impact factor=2.577
“Comparative study of state of the art skin image segmentation techniques with CNN”.

6. Publication in Journal of Intelligent and fuzzy Systems (2023), ISSN: 1875-8967,1064-1246, X Category, Impact factor=1.73
“Content-based Image Retrieval via Transfer Learning”.

7. Publication in Diagnostics (2023), ISSN: 2075-4418, X Category, Impact factor=3.992
“Alzheimer Disease Classification Through Transfer Learning Approach”.
8. Published in Journal of Intelligent and fuzzy Systems (2023), ISSN: 1875-8967,1064-1246, X Category, Impact factor=1.73
StynMedGAN: Medical Images Augmentation using a new GAN model for Improved Diagnosis of Diseases

9. Published in Multimedia Tools and Applications (2023), ISSN: 1380-7501,1573-7721, Rank: W, Impact factor=2.577
“Occupancy detection via thermal sensors for energy consumption reduction”

10. Publication in Journal of X-Ray Science & Technology (2022), ISSN: 0895-3996,1095-9114, Rank: X, Impact factor=3.0
“Deep Learning Classifiers for Computer-aided Diagnosis of Multiple Lungs Disease”

Published Conference Papers:
1. Presented Research Paper at the Conference of Future Technologies Conference (FTC) 2016 at San Francisco, United States.
“An Efficient Method for Gender Classification Using Hybrid CBR”

2. Presented Research Paper at the SAI Intelligent Systems Conference (IntelliSys) 2015 at London.
“An optimal formulation of feature weight allocation for CBR using machine learning techniques”.

3. Presented Research Paper at the International Conference on Applied Cognitive Computing, 2018 Las Vegas, USA.
“Comparison of Different Multi Objective Evolutionary Algorithms for Bug Localization”

4. Presented Research Paper at the 10th International Conference on Frontiers of Information Technology (2012)
“Optimization of Decision Making in CBR Based Self-Healing Systems”

Submission:
Faculty members should submit their profiles to their respective HODs. Once approved by the HOD, the profiles will be forwarded to the HOD MarCom, with the Website Editor cc’d.
Review and Approval:
The Marketing and Communication Office will review the submitted profiles in accordance with the SOP. Upon approval, the profiles will be uploaded on the FCCU website.
Profile Updates:
If any changes or updates are required in a faculty member’s profile, the Head of the respective department will request these changes from the MarCom HOD.
Compliance:
Faculty members are expected to adhere to this SOP to ensure the maintenance of accurate and up-to-date profiles on the FCCU website.
Effective Date:
This SOP is effective from November 17th 2023
This SOP ensures that faculty profiles on the FCCU website are consistent, up-to-date, and professional, offering valuable information to students, colleagues, and the public