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Name | Rabbia Mahum |
Designation | Lecturer |
Department | Computer Science (Taxila) |
Highest Qualification | MS(CS) from UET Taxila (2015-2018) |
Specialization | Computer Vision, Natural language Processing, Medical Imaging, Deep Learning |
Phone No | 0519047856 |
Cell No | |
Fax No | |
[email protected] |
1.PhD Scholar at UET Taxila(2018-Present)
2.MS in Computer Science (2015-2017) University of Engineering and Technology, Taxila Securing CGPA of 4
3.BS in Computer Science (2011-2015) COMSATS Institute of Information Technology, Wah Campus Securing CGPA of 3.81
4. Academic H.S.S.C (Pre-Engineering): (2009-2011) F.G Post Graduate College for Women, Wah Cantt
5.S.S.C (2007-2009) P.O.F Model High School Wah Cantt Securing 85.33% (Grade A1)
6.B.Ed (2016) AIOU
My research area includes Machine Learning, Deep Learning, Computer Vision, Natural Language Proecessing, Text to Speech Synthesis, Fake Audi Detection.
Journal Publications:
(IF=24.981)
9. Rabbia Mahum, Aun Irtaza, Marriam Nawaz, Tahira Nazir, Momina Masood, Sarang Shaikh, Emad Abouel Nasr: “A robust framework to generate surveillance video summaries using combination of zernike moments and r-transform and deep neural network”: in Multimedia Tools and Applications, (IF:2.577)
Conference Publications:
1. Rabbia Mahum, Aun Irtaza, Marriam Nawaz, Tahira Nazir, Momina Masood and Awais Mehmood " A generic framework for Generation of Summarized Video Clips using Transfer Learning (SumVClip)," in Mohammad Ali Jinnah University Conference on Informatics and Computing 2021 (MAJICC'21), Islamabad, Pakistan, IEEE, 2021.
2. Momina Masood, Marriam Nawaz, Ali Javed, Tahira Nazir, Awais Mehmood and Rabbia Mahum "Classification of Deepfake videos using pre-trained convolutional neural networks," in 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2), Islamabad, Pakistan, pp. 1-6. IEEE, 2021.
3.Hassan Habib, Awais Mehmood, , Tahira Nazir, Marriam Nawaz, Momina Masood, Rabbia Mahum “Brain Tumor Segmentation and Classification using Machine Learning” in 2021 Conference: 2021 International Conference on Applied and Engineering Mathematics (ICAEM), DOI: 10.1109/ICAEM53552.2021.9547084
4. Rabbia Mahum,*, Aun Irtaza, Awais Mehmood, Momina Masood, Marriam Nawaz, Tahira Nazir”, Real-time Object Detection and Classification in Surveillance Videos using Hybrid Deep Learning Model” in MDSRIC - 2021, 30 Nov – 01 Dec 2021 Wah/Pakistan.
5. Faisal, Rabbia Mahum“Deep Learning System for Detecting the Diabetic Retinopathy”, Accepted paper in the 2022 Mohammad Ali Jinnah University International Conference on Computing (IEEE).2022
6. Dure Maknoon, Rabbia Mahum, “Proteins Classification Using an Improve Deep Learning Model”, Accepted paper in the 2022 Mohammad Ali Jinnah University International Conference on Computing (IEEE).2022
7. Shahbaz, Rabbia Mahum,“Cricket Videos Summary generation using a Novel Convolutional Neural Network”, Accepted paper in the 2022 Mohammad Ali Jinnah University International Conference on Computing (IEEE).2022
8. Rabbia Mahum, Aun Irtaza, Ali Javed, Accepted Book Chapter of Springer, “Text to Speech Synthesis using Deep Learning”,2022
I have been afiliated to teaching since 2015. I served as Research Associate (2015-2018) and Lecturer (2018-2021) at Comsats University Islamabad, Wah Campus. I am working in CPSD of UET Taxila as Lecturer since Feb,2021.
I have been afiliated to teaching since 2015. I served as Research Associate (2015-2018) and Lecturer (2018-2021) at Comsats University Islamabad, Wah Campus. I am working in CPSD of UET Taxila as Lecturer since Feb,2021.
I have been awarded Bronze Medal in BS program. I completed BS on fully funded scholarship. I secured 4 CGPA out of 4 in MS degree program.
I have been participated in 4 conferences.
1.(19-MS-CSc-06)DUR E MAKNOON NISAR March 2021 "PROTEIN CLASSIFICATION USING MACHINE LEARNING AND DEEP LEARNING."
2.(19-MS-CSc-23) NOOR-UL-HUDA SHAH March 2021 "BREAST CANCER IDENTIFICATION USING MACHINE LEARNIING."
3.(19-MS-CSc-02) Afrasiab Khan April 2021 "Novel Model for the Sentimental Analysis of Twitter Data using Machine Learning Technique."
4.(19-MS-CSc-23) Malik Javed Akhtar April 2021 "Object Detection and Recognition using Deep Learning."
5.(MS-CS-19-034) Tariq 2021 "player specific Cricket highlights generation".
Other than these working with a student from CASE on eye disease detection.
I attended iPakistan development training for Faculty at Serena Hotel, Islamabad.
I have attended Faculty Development Workshop (FDA) at CUI.
1.(19-MS-CSc-06)DUR E MAKNOON NISAR March 2021 "PROTEIN CLASSIFICATION USING MACHINE LEARNING AND DEEP LEARNING."
2.(19-MS-CSc-23) NOOR-UL-HUDA SHAH March 2021 "BREAST CANCER IDENTIFICATION USING MACHINE LEARNIING."
3.(19-MS-CSc-02) Afrasiab Khan April 2021 "Novel Model for the Sentimental Analysis of Twitter Data using Machine Learning Technique."
4.(19-MS-CSc-23) Malik Javed Akhtar April 2021 "Object Detection and Recognition using Deep Learning."
5.(MS-CS-19-034) Tariq 2021 "player specific Cricket highlights generation".
Other than these working with a student from CASE on eye disease detection.