Sahar Ajmal

Lecturer
  • Department of Software Engineering
  • sahar.ajmal@nu.edu.pk
  • (041) 111-128-128
  • Ext: 196

Introduction

  • Interests:
  • 1. Data sciences 2. Recommendation system 3. Expert system 4. Machine learning 5. Multi criteria decision making schemes 6. Data mining

She received the Bachelor’s degree in Computer Science from the National University of Computer and Emerging Sciences in 2016. She worked on compiler construction during her bachelor’s degree. She has completed Master’s degree in Computer Science from the National University of Computer and Emerging Sciences with a Bronze Medal and worked on expert systems.

Education

MS (Computer Science), Specialization: Data Sciences, FAST-National University of Computer and Emerging Sciences, CFD, Pakistan.

BS (Computer Science), FAST-National University of Computer and Emerging Sciences, CFD, Pakistan.

Publications

  1. Conference Paper
    1. Analysis of automated web application security vulnerabilities testing, Pariwish Touseef, Khubaib Amjad Alam, Abid Jamil, Hamza Tauseef, Sahar Ajmal, Rimsha Asif, Bisma Rehman, Sumaira Mustafa, Proceedings of the 3rd International Conference on Future Networks and Distributed Systems, 2019.
    2. Survey on cache schemes in heterogeneous networks using 5g internet of things, S Ajmal, MB Muzammil, A Jamil, SM Abbas, U Iqbal, P Touseef, Proceedings of the 3rd International Conference on Future Networks and Distributed Systems, 2019.
  2. 3. Quality factors enhancement of requirement engineering: A systematic literature review, SM Abbas, KA Alam, U Iqbal, S Ajmal, 2019 International Conference on Frontiers of Information Technology (FIT) , 2019.
  3. 4. PVRS: Publication Venue Recommendation System A Systematic Literature Review, S Ajmal, MB Muzammil, 2019 5th International Conference on Computing Engineering and Design (ICCED), 2019.
  4. 5. Requirements Engineering Education: A Systematic Literature Review, S Javed, KA Alam, S Ajmal, U Iqbal, Proceedings of International Conference on Information Technology and Applications, 2022.
  5. 6. M-RS: A Systematic Literature Review on Multi-Objective Optimization along with Recommendation System, MB Muzammil, S Ajmal, S Javed, A Tariq, U Iqbal, 2021 International Conference on Engineering and Emerging Technologies, (ICEET), (IEEE), 2021.
  6. 7. Zaidi, T., Aziz, S., Usman, M., Azam, A., Cheema, A. A., & Ajmal, S. (2022, December). Edge Computing and Computational Task Offloading Analysis–A review study. In 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) (pp. 1-7). IEEE.
  7. 8. Ajmal, S., Muzammil, M. B., Shoaib, M., & Mehmood, M. H. (2023, March). Empowering Donors: How Blockchain Technology Can Help Ensure Their Contributions Reach the Right Recipients. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-6). IEEE.
  8. 9. Ajmal, S., Usman, M., & Javed, A. (2023, November). Evaluation and Validation of Design Metrics in Machine Learning for Depression Detection. In 2023 18th International Conference on Emerging Technologies (ICET) (pp. 27-32). IEEE.

Journal Paper

  1. 1. Ajmal, S., Awais, M., Khurshid, K. S., Shoaib, M., & Abdelrahman, A. (2023). Data mining-based recommendation system using social networks—an analytical study. PeerJ Computer Science, 9, e1202.
  2. 2. Sohail M, Latif Z, Javed S, Biswas S, Ajmal S, Iqbal U, Raza M. Routing protocols in Vehicular Adhoc Networks (VANETs): A comprehensive survey. Internet of Things. 2023 May 30:100837.
  3. 3. Ajmal, S., Sarfraz, M. S., Memon, I., Bilal, M., & Alam, K. A. (2023). PUB-VEN: a personalized recommendation system for suggesting publication venues. Multimedia Tools and Applications, 1-22. Umer Iqbal.
  4. 4. Muzammil, M. B., Bilal, M., Ajmal, S., Shongwe, S. C., & Ghadi, Y. Y. (2024). Unveiling Vulnerabilities of Web Attacks Considering Man in the Middle Attack and Session Hijacking. IEEE Access.

Collaborations at National and International Level

Detail of Funded Projects