1.PhD from UET Taxila(2024)

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.

(IF=86.604)

1. Tahira Nazir, Marriam Nawaz, Junaid Rashid, Rabbia Mahum, Momina Masood, Awais Mehmood, Farooq Ali, Jungeun Kim, Hyuk-Yoon Kwon, and Amir Hussain, (2021). “Detection of Diabetes-based Eye Diseases from retinal images using Custom CenterNet” Sensors, (I.F: 3.576)
2. Rabbia Mahum, Saeed Ur Rehman, Talha Meraj, Hafiz Tayyab Rauf *, Aun
   Irtaza, Ahmed M.El-Sherbeeny, Mohammed El-Meligy, (2021). “A Novel Hybrid Approach Based on Deep CNN to Detect Knee Osteoarthritis from Sensor Based HR Imagery” Sensors, (I.F: 3.576):
3. Mahum, Rabbia, F. Shafique Butt, Kashif Ayyub, Seema Islam, Marriam Nawaz, and Daud Abdullah. "A review on humanoid robots." International Journal of ADVANCED AND APPLIED SCIENCES (Y category).
4. Marriam Nawaz, Tahira Nazir, Momina Masood, Awais Mehmood, Rabbia
   Mahum, Muhammad Attique Khan, Seifedine Kadry, Orawit Thinnukool *,  “Analysis of Brain MRI Images Using Improved CornerNet Approach”, in Diagnostics, (2021),  (I.F: 3.706)
5. R Mahum, SU Rehman, OD Okon, A Alabrah, T Meraj, HT Rauf,  “A Novel Hybrid Approach Based on Deep CNN to Detect Glaucoma Using Fundus Imaging” in Electronics 11 (1), 26, (I.F: 2.397)
6. Muhammad Haris Munir, Rabbia Mahum, Muhammad Nafees, Muhammad Aitazaz, Aun Irtaza “An Automated Framework for Corona Virus Severity Detection Using Combination of AlexNet and Faster RCNN” in International Journal of Innovations in Science and Technology. Vol 3,Special Issue, pp: 197-209, 2022
7. Rabbia Mahum, Haris Munir, Zaib-Un-Nisa Mughal, Muhammad Awais, Falak Sher Khan, Muhammad Saqlain, Saipunidzam Mahamad, Iskander Tlili , “A novel framework for potato leaf disease detection using an efficient deep learning model”, in Human and Ecological Risk Assessment: An International Journal, (I.F:4.997)
8. Momina Masood, Rabbia Maham, Ali Javed, Usman Tariq, Muhammad Attique Khan, Seifedine Kadry,

“BrainNet-MIOT: Brain MRI Analysis using Deep Neural Network for Medical of Internet Things Applications”, in Computers and Electrical Engineering, (IF: 4.152)

1. 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”:2023, in Multimedia Tools and Applications, (IF:3.6)
2. Malik Javed Akhtar, Rabbia Mahum*, Faisal Shafique Butt, Rashid Amin, Ahmed M. El-Sherbeeny, Seongkwan Mark Lee*,and Sarang Shaikh: “A Robust Framework for Object Detection in a Traffic Surveillance System”: Electrnoics. (IF:2.9)
3. Rabbia Mahum, Suliman Aladhadh : “Skin Lesion Detection Using Hand-Crafted and DL-Based Features Fusion and LSTM”: 2022, Diagnostics. (IF:3.6)
4. Rabbia Mahum, Aun Irtaza, Saeed Ur Rehman,*, Talha Meraj and Hafiz Tayyab Rauf: “A Player specific framework for cricket highlights generation using Deep Convolutional Neural Networks”: Electronics. (IF:2.9)
5. Suliman Aladhadh, Rabbia Mahum*,“Knee Osteoarthritis Detection Using an Improved CenterNet With Pixel-Wise Voting Scheme”: in IEEE Access, 2023 (IF:3.9)
6. Shahbaz Sikandar1, Rabbia Mahum1 and AbdulMalik Alsalman2,*,“A Novel Hybrid Approach for a Content-Based Image Retrieval Using Feature Fusion”: in Applied Sciences, 2023 (IF:2.7)
7. Rabbia Mahum*, Aun Irtaza, Mohammed A. El-Meligy , Ahmed M. El-Sherbeeny, Iskander Tlili, Saamia Butt, Asad Mahmood and Muhammad Awais,*, “A Robust Framework for Severity Detection of Knee Osteoarthritis Using an Efficient Deep Learning Model”, in International Journal of Pattern Recognition and Artificial Intelligence, 2023. (IF:1.5)
8. Shahbaz Sikandar, Rabbia Mahum, Adham E. Ragab* , Sule Yildirim Yayilgan and Sarang Shaikh*, “SCDet: A Robust Approach for the Detection of Skin Lesions”, in Diagnostics, 2023, (IF:3.6)
9. Rabbia Mahum, Alsalman Abdulmalik, “Lung-RetinaNet: Lung Cancer Detection using a RetinaNet with Multi-Scale Feature Fusion and Context Module”, in IEEE Access,2023, (IF:3.9)
10. Rabbia Mahum, Mohamed Sharaf, Haseeb Hassan, Lixin Liang, Bingding Huang, “A Robust Brain Tumor Detector Using BiLSTM and Mayfly Optimization and Multi-Level Thresholding” in Biomedicines, 2023, (IF:4.7)
11. Shahbaz Sikandar, Rabbia Mahum, Suliman Aladhadh, “Automatic Crop Expert System Using Improved LSTM with Attention Block” in Computer Systems Science and Engineering ,2023, (IF: 2.2).
12. Abdul Qadir, Rabbia Mahum, Suliman Aladhadh, “A Robust Approach for Detection and Classification of KOA Based on BILSTM Network”, in Computer Systems Science and Engineering ,2023, (IF: 2.2).
13. Amna Zia, Rabbia Mahum, Nabeel Ahmad, Muhammad Awais, Ahmad M Alshamrani, “Eye diseases detection using deep learning with BAM attention module”, in Multimedia Tools and Applications, 2023, (IF:3.6)
14. Rabbia Mahum, Aun Irtaza, Ali Javed, “EDL-Det: A Robust TTS Synthesis Detector Using VGG19-Based YAMNet and Ensemble Learning Block”, in IEEE Access, 2023, (IF:3.9).
15. Abdul Qadir, Rabbia Mahum, Mohammed A El-Meligy, Adham E Ragab, Abdulmalik AlSalman, Haseeb Hassan , “An efficient deepfake video detection using robust deep learning”, in Heliyon, 2024, (IF:4)
16. Rabbia Mahum, Aun Irtaza, Ali Javed, Haitham A. Mahmoud, Haseeb Hassan, “DeepDet: YAMNet with BottleNeck Attention Module (BAM) for TTS synthesis detection”, in EURASIP Journal on Audio, Speech, and Music Processing, (IF:2.4).
17. Rabbia Mahum, Ahmed M. El-Sherbeeny, Khaled Alkhaledi, Haseeb Hassan, “Tran-DSR: A Hybrid Model for Dysarthric Speech Recognition using Transformer Encoder and Ensemble Learning”, in Applied Accoustics,(Q1, IF:3.4)
18. Muhammad Awais, Rabbia Mahum, Hao Zhang, Wei Zhang, Ahmed Sayed Mohammed Metwally, Jiandong Hu & Ifzan Arshad “Short-term photovoltaic energy generation for solar powered high efficiency irrigation systems using LSTM with Spatio-temporal attention mechanism”, in Scientific Reports, (IF: 4.6)
19. Tahira Kanwal, Rabbia Mahum, AbdulMalik AlSalman, Mohamed Sharaf, Haseeb Hassan, “FAKE SPEECH DETECTION USING VGGISH WITH ATTENTION BLOCK” in EURASIP Journal on Audio, Speech, and Music Processing, (IF:2.4).

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”, 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”, in the 2022 Mohammad Ali Jinnah University International Conference on Computing (IEEE).2022

7. Shahbaz, Rabbia Mahum, Nouman Akbar, “Cricket Videos Summary generation using a Novel Convolutional Neural Network”, in the 2022 Mohammad Ali Jinnah University International Conference on Computing (IEEE).2022

8. Rabbia Mahum, Aun Irtaza, Ali Javed, Book Chapter of Springer, “Text to Speech Synthesis using Deep Learning”,2023

9. Noor Ul Huda Shah, Rabbia Mahum, Dur e Maknoon Nisar, Noor Ul Aman & Tabinda Azim “Breast Cancer Identification Using Improved DarkNet53 Model”, in International Conference on Innovations in Bio-Inspired Computing and Applications, (2023).

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.